Phenotyping for drought tolerance of crops in the genomics era

Frontiers in Physiology

Volumn 3 SEP, Issue , 2012, Pages

  Tuberosa, Roberto ^a  

^a UNIVERSITY OF BOLOGNA   (Italy)

Author keywords

Breeding; Drought tolerance; Genomics; Modeling; Phenology; Phenomics; Qtl; Yield

Indexed keywords

EID: 84867299932     PISSN: None     EISSN: 1664042X     Source Type: Journal    
DOI: 10.3389/fphys.2012.00347     Document Type: Article

References (467)

1. Acuna, T. L. B., Lafitte, H. R., and Wade, L. J. (2008). Genotype x environment interactions for grain yield of upland rice backcross lines in diverse hydrological environments. Field Crops Res. 108, 117-125.
2. Acuna, T. L. B., Pasuquin, E., and Wade, L. J. (2007). Genotypic differences in root penetration ability of wheat through thin wax layers in contrasting water regimes and in the field. Plant Soil 301, 135-149.
3. Alhosein, I., Miyuki, N., Shuhei, N., Kenji, K., Masaya, F., Hitoshi, M., and Yutaka, O. (2012). Novel QTLs for growth angle of seminal roots in wheat (Triticum aestivum L.). Plant Soil 354, 395-405.
4. Ali, M., Jensen, C. R., Mogensen, V. O., Andersen, M. N., and Henson, I. E. (1999). Root signaling and osmotic adjustment during intermittent soil drying sustain grain yield of field grown wheat. Field Crops Res. 62, 35-52.
5. Ali, M. L., Pathan, M. S., Zhang, J., Bai, G., Sarkarung, S., and Nguyen, H. T. (2000). Mapping QTLs for root traits in a recombinant inbred population from two indica eco-types in rice. Theor. Appl. Genet. 101, 756-766.
6. Araus, J. L., Amaro, T., Zuhair, Y., and Nachit, M. M. (1997). Effect of leaf structure and water status on carbon isotope discrimination in field-grown durum wheat. Plant Cell Environ. 20, 1484-1494.
7. Araus, J. L., Blum, A., Nguyen, H. T., Parry, M. A. J., and Tuberosa, R. (2007). Integrated approaches to sustain and improve plant production under drought stress-preface. J. Exp. Bot. 58, iv.
8. Araus, J. L., Bort, J., Steduto, P., Villegas, D., and Royo, C. (2003). Breeding cereals for Mediterranean conditions: ecophysiological clues for biotechnology application. Ann. Appl. Biol. 142, 129-141.
9. Araus, J. L., Slafer, G. A., Reynolds, M. P., and Royo, C. (2002). Plant breeding and drought in C3 cereals: what should we breed for? Ann. Bot. 89, 925-940.
10. Araus, J. L., Slafer, G. A., Royo, C., and Serret, M. D. (2008). Breeding for yield potential and stress adaptation in cereals. Cr it Rev. Plant Sci. 27, 377-412.
11. Arihara, J., and Crosbie, T. M. (1982). Relationships among seedling and mature root system traits of maize. Crop Sci. 22, 1197-1202.
12. Armengaud, P., Zambaux, K., Hills, A., Sulpice, R., Pattison, R. J., Blatt, M. R., and Amtmann, A. (2009). EZ-Rhizo: integrated software for the fast and accurate measurement of root system architecture. PlantJ. 57, 945-956.
13. Ashraf, M. (2010). Inducing drought tolerance in plants: recent advances. Biotechnol. Adv. 28, 169-183.
14. Asseng, S., Turner, N. C., Botwright, Y., and Condon, A. G. (2003). Evaluating the impact of a trait for increased specific leaf area on wheat yields using a crop simulation model. Agron. J. 95, 10-19.
15. Atienza, S. G., Faccioli, P., Perrotta, G., Dalfino, G., Zschiesche, W., Humbeck, K., Stanca, A. M., and Cattivelli, L. (2004). Large scale analysis of transcripts abundance in barley subjected to several single and combined abiotic stress conditions. Plant Sci. 167, 1359-1365.
16. Ayele, M., Blum, A., and Nguyen, H. T. (2001). Diversity for osmotic adjustment and root depth in tef [Eragrostis tef (Zucc) Trotter]. Euphytica 121,237-249.
17. Azhiri-Sigari, T., Yamauchi, A., Kamoshita, A., and Wade, L. J. (2000). Genotypic variation in response of rainfed lowland rice to drought and rewatering. II. Root growth. Plant Prod. Sci. 3, 180-188.
18. Babar, M. A., van Ginkel, M., Klatt, A., Prasad, B., and Reynolds, M. P. (2006). The potential of using spectral reflectance indices to estimate yield in wheat grown under reduced irrigation. Euphytica 150, 155-172.
19. Babar, M. A., van Ginkel, M., Reynolds, M. P., Prasad, B., and Klatt, A. R. (2007). Heritability, correlated response, and indirect selection involving spectral reflectance indices and grain yield in wheat. Aust. J. Agric. Res. 58, 432-442.
20. Babu, R. C., Nguyen, B. D., Chamarerk, V., Shanmugasundaram, P., Chezhian, P., Jeyaprakash, P., Ganesh, S. K., Palchamy, A., Sadasivam, S., Sarkarung, S., Wade, L. J., and Nguyen, H. T. (2003). Genetic analysis of drought resistance in rice by molecular markers: association between secondary traits and field performance. Crop Sci. 43, 1457-1469.
21. Babu, R. C., Pathan, M. S., Blum, A., and Nguyen, H. T. (1999). Comparison of measurement methods of osmotic adjustment in rice cultivars. Crop Sci. 39, 150-158.
22. Bacon, M. A., Davies, W. J., Mingo, D., and Wilkinson, S. (2002). "Root signals," in Plant Roots: The Hidden Half, 3rd Edn. eds Y. Waisel, A. Eshel, and U. Kafkafi (Monticello, NY: Marcel Dekker, Inc), 461-470.
23. Balota, M., Payne, W. A., Evett, S. R., and Lazar, M. D. (2007). Canopy temperature depression sampling to assess grain yield and genotypic differentiation in winter wheat. Crop Sci. 47, 1518-1529.
24. Bänziger, M., Setimela, P. S., Hodson, D., and Vivek, B. (2006). Breeding for improved abiotic stress tolerance in maize adapted to southern Africa. Agric. Water Manage. 80, 212-224.
25. Barbour, M. M., Fischer, R. A., Sayre, K. D., and Farquhar, G. D. (2000). Oxygen isotope ratio of leaf and grain material correlates with stom-atal conductance and grain yield in irrigated wheat. Aust. J. Plant Physiol. 27, 625-637.
26. Barnabas, B., Jager, K., and Feher, A. (2008). The effect of drought and heat stress on reproductive processes in cereals. Plant Cell Environ. 31, 11-38.
27. Bartels, D., Ditzer, A., and Furini, A. (2006). What can we learn from resurrection plants? in Drought Adaptation in Cereals, ed J.-M. Ribaut (Binghamton, NY: The Haworth Press, Inc), 599-622.
28. Basu, P. S., Ali, M., and Chaturvedi, S. K. (2007). Osmotic adjustment increases water uptake, remobiliza-tion of assimilates and maintains photosynthesis in chickpea under drought. Indian J. Exp. Biol. 45, 261-267.
29. Bengough, A. G., Bransby, M. F., Hans, J., McKenna, S. J., Roberts, T. J., and Valentine, T. A. (2006). Root responses to soil physical conditions; growth dynamics from field to cell. J. Exp. Bot. 57, 437-447.
30. Bengough, A. G., Gordon, D. C., Al-Menaie, H., Ellis, R. P., Allan, D., Keith, R., Thomas, W. T. B., and Forster, B. P. (2004). Gel observation chamber for rapid screening of root traits in cereal seedlings. Plant Soil 262, 63-70.
31. Bernardo, R. (2004). What proportion of declared QTL in plants are false? Theor. Appl. Genet. 109, 419-424.
32. Bernardo, R. (2008). Molecular markers and selection for complex traits in plants: learning from the last 20 years. Crop Sci. 48, 1649-1664.
33. Bernardo, R. (2009). Genomewide selection for rapid introgression of exotic germplasm in maize. Crop Sci. 49, 419-425.
34. Bernardo, R., and Yu, J. M. (2007). Prospects for genomewide selection for quantitative traits in maize. Crop Sci. 47, 1082-1090.
35. Bernier, J., Kumar, A., Ramaiah, V., Spaner, D., and Atlin, G. (2007). A large-effect QTL for grain yield under reproductive-stage drought stress in upland rice. Crop Sci. 47, 507-518.
36. Bernier, J., Serraj, R., Kumar, A., Venuprasad, R., Impa, S., Gowda, R. P. V., Oane, R., Spaner, D., and Atlin, G. (2009). The large-effect drought-resistance QTL qtl12.1 increases water uptake in upland rice. Field Crops Res. 110, 139-146.
37. Beverly, R. B. (1996). Video image analysis as a nondestructive measure of plant vigor for precision agriculture. Commun. Soil Sci. Plant Anal. 27, 607-614.
38. Blanc, G., Charcosset, A., Mangin, B., Gallais, A., and Moreau, L. (2006). Connected populations for detecting quantitative trait loci and testing for epistasis: an application in maize. Theor. Appl. Genet. 113, 206-224.
39. Blanc, G., Charcosset, A., Veyrieras, J. B., Gallais, A., and Moreau, L. (2008). Marker-assisted selection efficiency in multiple connected populations: a simulation study based on the results of a QTL detection experiment in maize. Euphytica 161, 71-84.
40. Blouin, M., Barot, S., and Roumet, C. (2007). A quick method to determine root biomass distribution in diameter classes. Plant Soil 290, 371-381.
41. Blum, A. (1988). Breeding for Stress Environments. Boca Raton: CRC Press, 245.
42. Blum, A. (1996). Crop responses to drought and the interpretation of adaptation. Plant Growth Regul. 20, 135-148.
43. Blum, A. (1998). Improving wheat grain filling under stress by stem reserve mobilization. Euphytica 100, 77-83.
44. Blum, A. (2005). Drought resistance, water-use efficiency, and yield potential-are they compatible, dissonant, or mutually exclusive? Aust. J. Agric. Res. 56, 1159-1168.
45. Blum, A. (2006). "Drought adaptation in cereal crops: a prologue," in Drought Adaptation in Cereals, ed J.-M. Ribaut (Binghamton, NY: The Haworth Press, Inc), 3-15.
46. Blum, A. (2009). Effective use of water (EUW) and not water-use efficiency (WUE) is the target of crop yield improvement under drought stress. Field Crops Res. 112, 119-123.
47. Blum, A. (2011). Plant Breeding for Water-Limited Environments. New York, NY: Springer.
48. Blum, A., Mayer, J., and Gozlan, G. (1982). Infrared thermal sensing of plant canopies as a screening technique for dehydration avoidance in wheat. Field Crops Res. 5, 137-146.
49. Blum, A., Munns, R., Passioura, J. B., and Turner, N. C. (1996). Genetically engineered plants resistant to soil drying and salt stress: how to interpret osmotic relations? Plant Physiol. 110, 1051-1053.
50. Blum, A., Zhang, J. X., and Nguyen, H. T. (1999). Consistent differences among wheat cultivars in osmotic adjustment and their relationship to plant production. Field Crops Res. 64,287-291.
51. Bohnert, H. J., Gong, Q. Q., Li, P. H., andMa,S.S. (2006). Unraveling abiotic stress tolerance mechanisms-getting genomics going. Curr. Opin. Plant Biol. 9, 180-188.
52. Bolaños, J., and Edmeades, G. O. (1993). Eight cycles of selection for drought tolerance in lowland tropical maize. 2. Responses in reproductive behavior. Field Crops Res. 31, 253-268.
53. Bolaños, J., and Edmeades, G. O. (1996). The importance of the anthesis-silking interval in breeding for drought tolerance in tropical maize. Field Crops Res. 48, 65-80.
54. Borlaug, N. E. (2007). Sixty-two years of fighting hunger: personal recollections. Euphytica 157, 287-297.
55. Borlaug, N. E., and Dowswell, C. R. (2005). "Feeding a world of ten billion people: a 21st century challenge," in Proceedings of the International Congress: In the Wake of the Double Helix From the Green Revolution to the Gene Revolution, eds R. Tuberosa, R. L. Phillips, and M. Gale (Bologna, Italy: Avenue Media) 27-31 May, 3-23.
56. Borrell, A., Hammer, G., and Van Oosterom, E. (2001). Stay-green: a consequence of the balance between supply and demand for nitrogen during grain filling? Ann. Appl. Biol. 138,91-95.
57. Bovina, R., Talamè, V., Ferri, M., Tuberosa, R., Chmielewska, B., Szarejko, I., and Sanguineti, M. C. (2011). Identification of root morphology mutants in barley. Plant Genet. Resour. 9, 357-360.
58. Boyer, J. S. (1995). Measuring the Water Status of Plants and Soils. London, UK: Academic Press, 178.
59. Boyer, J. S., James, R. A., Munns, R., Condon, T. A. G., and Passioura, J. B. (2008). Osmotic adjustment leads to anomalously low estimates of relative water content in wheat and barley. Funct. Plant Biol. 35, 1172-1182.
60. Boyer, J. S., and Westgate, M. E. (2004). Grain yields with limited water. J. Exp. Bot. 55, 2385-2394.
61. Bray, E. A. (2002). Abscisic acid regulation of gene expression during water-deficit stress in the era of the Arabidopsis genome. Plant Cell Environ. 25, 153-161.
62. Brennan, J. P., Condon, A. G., Van Ginkel, M., and Reynolds, M. P. (2007). An economic assessment of the use of physiological selection for stomatal aperture-related traits in the CIMMYT wheat breeding programme. J. Agric. Sci. 145, 187-194.
63. Buckler, E. S., Holland, J. B., Bradbury, P. J., Acharya, C. B., Brown, P. J., Browne, C., Ersoz, E., Flint-Garcia, S., Garcia, A., Glaubitz, J. C., Goodman, M. M., Harjes, C., Guill, K., Kroon, D. E., Larsson, S., Lepak, N. K., Li, H. H., Mitchell, S. E., Pressoir, G., Peiffer, J. A., Rosas, M. O., Rocheford, T. R., Romay, M. C., Romero, S., Salvo, S., Villeda, H. S., da Silva, H. S., Sun, Q., Tian, F., Upadyayula, N., Ware, D., Yates, H., Yu, J. M., Zhang, Z. W., Kresovich, S., and McMullen, M. D. (2009). The genetic architecture of maize flowering time. Science 325, 714-718.
64. Burgueno, J., Crossa, J., Cornelius, P. L., and Yang, R. C. (2008). Using factor analytic models for joining environments and genotypes without crossover genotype x environment interaction. Crop Sci. 48, 1291-1305.
65. Cairns, J. E., Audebert, A., Townend, J., Price, A. H., and Mullins, C. E. (2004). Effect of soil mechanical impedance on root growth of two rice varieties under field drought stress. Plant Soil 267, 309-318.
66. Cairns, J. E., Impa, S. M., O'Toole, J. C., Jagadish, S. V K., and Price, A. H. (2011). Influence of the soil physical environment on rice (Oryza sativa L.) response to drought stress and its implications for drought research. Plant Genet. Resour. 121, 303-310.
67. Cairns, J. E., Sonder, K., Zaidi, P. H., Verhulst, N., Mahuku, G., Babu, R., Nair, S. K., Das, B., Govaerts, B., Vinayan, M. T., Rashid, Z., Noor, J. J., Devi, P., Vicente, F. S., and Prasanna, B. M. (2012). Maize production in a changing climate: impacts, adaptation, and mitigation strategies. Adv. Agron. 114, 1-58.
68. Campillo, C., Prieto, M. H., Daza, C., Monino, M. J., and Garcia, M. I. (2008). Using digital images to characterize canopy coverage and light interception in a processing tomato crop. Hortscience 43, 1780-1786.
69. Campos, H., Cooper, M., Edmeades, G. O., Loffler, C., Schussler, J. R., and Ibanez, M. (2006). Changes in drought tolerance in maize associated with fifty years of breeding for yield in the US corn belt. Maydica 51,369-381.
70. Casadesus, J., Kaya, Y., Bort, J., Nachit, M. M., Araus, J. L., Amor, S., Ferrazzano, G., Maalouf, F., Maccaferri, M., Martos, V., Ouabbou, H., and Villegas, D. (2007). Using vegetation indices derived from conventional digital cameras as selection criteria for wheat breeding in water-limited environments. Ann. Appl. Biol. 150, 227-236.
71. Cayci, G., Heng, L. K., Ozturk, H. S., Suerek, D., Kutuk, C., and Saglam, M. (2009). Crop yield and water use efficiency in semi-arid region of Turkey. Soil Till. Res. 103, 65-72.
72. Ceccarelli, S., and Grando, S. (1996). Drought as a challenge for the plant breeder. Plant Growth Regul. 20, 149-155.
73. Chaerle, L., Leinonen, I., Jones, H. G., and Van der Straeten, D. (2007). Monitoring and screening plant populations with combined thermal and chlorophyll fluorescence imaging. J. Exp. Bot. 58, 773-784.
74. Chapman, S. C., and Edmeades, G. O. (1999). Selection improves drought tolerance in tropical maize populations: II. Direct and correlated responses among secondary traits. Crop Sci. 39, 1315-1324.
75. Chapman, S. C., Chakraborty, S., Dreccer, M. F., and Howden, S. M. (2012). Plant adaptation to climate change-opportunities and priorities in breeding. Crop Pasture Sci. 63, 251-268.
76. Chapman, S., Cooper, M., Podlich, D., and Hammer, G. (2003). Evaluating plant breeding strategies by simulating gene action and dryland environment effects. Agron. J. 95, 99-113.
77. Chapuis, R., Delluc, C., Debeuf, R., Tardieu, F., and Welcker, C. (2012). Resiliences to water deficit in a phe-notyping platform and in the field: how related are they in maize? Eur. J. Agron. 42, 59-67.
78. Chavarria-Krauser, A., Nagel, K. A., Palme, K., Schurr, U., Walter, A., and Scharr, H. (2008). Spatio-temporal quantification of differential growth processes in root growth zones based on a novel combination of image sequence processing and refined concepts describing curvature production. New Phytol. 177, 811-821.
79. Chaves, M. M., and Oliveira, M. M. (2004). Mechanisms underlying plant resilience to water deficits: prospects for water-saving agriculture.J. Exp. Bot. 55, 2365-2384.
80. Chen, J., Chang, S. X., and Anyia, A. O. (2012). Quantitative trait loci for water-use efficiency in barley (Hordeum vulgare L.) measured by carbon isotope discrimination under rain-fed conditions on the Canadian Prairies. Theor. Appl. Genet. 125, 71-90.
81. Chenu, K., Chapman, S. C., Hammer, G. L., McLean, G., Salah, H. B. H., and Tardieu, E (2008). Short-term responses of leaf growth rate to water deficit scale up to whole-plant and crop levels: an integrated modelling approach in maize. Plant Cell Environ. 31,378-391.
82. Chimenti, C. A., Marcantonio, M., and Hall, A. J. (2006). Divergent selection for osmotic adjustment results in improved drought tolerance in maize (Zea mays L.) in both early growth and flowering phases. Field CropsRes. 95,305-315.
83. Clark, R. T., MacCurdy, R. B., Jung, J. K., Shaff, J. E., McCouch, S. R., Aneshansley, D. J., and Kochian, L. V. (2011). Three-dimensional root phenotyping with a novel imaging and software platform. Plant Physiol. 156, 455-465.
84. Collins, N. C., Tardieu, F., and Tuberosa, R. (2008). Quantitative trait loci and crop performance under abiotic stress: where do we stand? Plant Physiol. 147,469-486.
85. Cominelli, E., Galbiati, M., Vavasseur, A., Conti, L., Sala, T., Vuylsteke, M., Leonhardt, N., Dellaporta, S. L., and Tonelli, C. (2005). A guard-cell-specific MYB transcription factor regulates stomatal movements and plant drought tolerance. Curr. Biol. 15, 1196-1200.
86. Condon, A. G., Farquar, G. D., Rebetzke, G. J., and Richards, R. A. (2006). "The application of carbon isotope discrimination in cereal improvement for water-limited environments," in Drought Adaptation in Cereals, ed J.-M. Ribaut (Binghamton, NY: The Haworth Press, Inc), 171-219.
87. Condon, A. G., Farquar, G. D., and Richards, R. A. (1990). Genotypic variation in carbon isotope discrimination and transpiration efficiency in wheat. Leaf gas exchange and whole plant studies. Aust. J. Plant Physiol. 17, 9-22.
88. Condon, A. G., Richards, R. A., and Farquhar, G. D. (1993). Relationships between carbon isotope discrimination, water use efficiency and transpiration efficiency for dryland wheat. Aust. I Agric. Res. 44, 1693-1711.
89. Condon, A. G., Richards, R. A., Rebetzke, G. J., and Farquhar, G. D. (2002). Improving intrinsic water-use efficiency and crop yield. Crop Sci. 42, 122-131.
90. Condon, A. G., Richards, R. A., Rebetzke, G. J., and Farquhar, G. D. (2004). Breeding for high water-use efficiency. J. Exp. Bot. 55, 2447-2460.
91. Cooper, M., Podlich, D. W., and Luo, L. (2007). "Modeling QTL effects and MAS in plant breeding," in Genomics-assisted crop improvement. Genomics approaches andplat-forms, Vol. 1, eds R. K. Varshney and R. Tuberosa (Dordrecht, The Netherlands: Springer), 57-95.
92. Cooper, M., van Eeuwijk, E A., Hammer, G. L., Podlich, D. W., and Messina, C. (2009). Modeling QTL for complex traits: detection and context for plant breeding. Curr. Opin. PlantBiol. 12, 231-240.
93. Courtois, B., Ahmadi, N., Khowaja, F., Price, A. H., Rami, J. F., Frouin, J., Hamelin, C., and Ruiz, M. (2009). Rice root genetic architecture: meta-analysis from a drought QTL database. Rice 2, 115-128.
94. Courtois, B., Shen, L., Petalcorin, W., Carandang, S., Mauleon, R., and Li, Z. (2003). Locating QTLs controlling constitutive root traits in the rice population IAC 165 x Co39. Euphytica 134, 335-345.
95. Crossa, J., Burgueno, J., Dreisigacker, S., Vargas, M., Herrera-Foessel, S. A., Lillemo, M., Singh, R. P., Trethowan, R., Warburton, M., Franco, J., Reynolds, M., Crouch, J. H., and Ortiz, R. (2007). Association analysis of historical bread wheat germplasm using additive genetic covariance of relatives and population structure. Genetics 177, 1889-1913.
96. Davies, W. J., Bacon, M. A., Thompson, D. S., Sobeih, W., and Rodriguez, L. G. (2000). Regulation of leaf and fruit growth in plants growing in drying soil: exploitation of the plants' chemical signalling system and hydraulic architecture to increase the efficiency of water use in agriculture. J. Exp. Bot. 51, 1617-1626.
97. de Dorlodot, S., Bertin, P., Baret, P., and Draye, X. (2005). Scaling up quantitative phenotyping of root system architecture using a combination of aeroponics and image analysis. Aspects Appl. Biol. 73, 41-54.
98. de Dorlodot, S., Forster, B., Pages, L., Price, A., Tuberosa, R., and Draye, X. (2007). Root system architecture: opportunities and constraints for genetic improvement of crops. Trends Plant Sci. 12, 474-481.
99. Degenkolbe, T., Do, P. T., Zuther, E., Repsilber, D., Walther, D., Hincha, D. K., and Kohl, K. I. (2009). Expression profiling of rice cultivars differing in their tolerance to long-term drought stress. Plant Mol. Biol. 69, 133-153.
100. Deikman, J., Petracek, M., and Heard, J. E. (2012). Drought tolerance through biotechnology: improving translation from the laboratory to farmers' fields. Curr. Opin. Biotechnol. 23, 243-250.
101. Deokar, A. A., Kondawar, V., Jain, P. K., Karuppayil, S. M., Raju, N. L., Vadez, V., Varshney, R. K., and Srinivasan, R. (2011). Comparative analysis of expressed sequence tags (ESTs) between drought-tolerant and-susceptible genotypes of chickpea under terminal drought stress. BMC Plant Biol. 11, 70. doi: 10.1186/1471-2229-11-70
102. De Smet, I., White, P. J., Bengough, A. G., Dupuy, L., Parizot, B., Casimiro, I., Heidstra, R., Laskowski, M., Lepetit, M., Hochholdinger, F., Draye, X., Zhang, H. M., Broadley, M. R., Peret, B., Hammond, J. P., Fukaki, H., Mooney, S., Lynch, J. P., Nacry, P., Schurr, U., Laplaze, L., Benfey, P., Beeckman, T., and Bennett, M. (2012). Analyzing lateral root development: how to move forward. Plant Cell 24, 15-20.
103. Di Bianco, D., Thiyagarajan, K., Latini, A., Cantale, C., Felici, F., and Galeffi, P. (2011). Exploring the genetic diversity of the DRF1 gene in durum wheat and its wild relatives. Plant Genet. Res. 9, 247-250.
104. Dingkuhn, M., Luquet, D., Quilot, B., and de Reffye, P. (2005). Environmental and genetic control of morphogenesis in crops: towards models simulating phenotypic plasticity. Aust. J. Agric. Res. 56, 1289-1302.
105. Distelfeld, A., Li, C., and Dubcovsky, J. (2009). Regulation of flowering in temperate cereals. Curr. Opin. Plant Biol. 12, 178-184.
106. Dixit, S., Swamy, B. P. M., Vikram, P., Ahmed, H. U., Cruz, M. T. S., Amante, M., Atri, D., Leung, H., and Kumar, A. (2012). Fine mapping of QTLs for rice grain yield under drought reveals sub-QTLs conferring a response to variable drought severities. Theor. Appl. Genet. 125, 155-169.
107. Dreccer, A. F., Borgognone, A. G., Ogbonnaya, F. C., Trethowan, R. M., and Winter, B. (2007). CIMMYT-selected derived synthetic bread wheats for rainfed environments: yield evaluation in Mexico and Australia. Field Crops Res. 100, 218-228.
108. Duvick, D. N. (2005). The contribution of breeding to yield advances in maize (Zea mays L.).Adv. Agron. 86, 83-145.
109. Edmeades, G. O., McMaster, G. S., White, J. W., and Campos, H. (2004). Genomics and the physiologist: bridging the gap between genes and crop response. Field Crops Res. 90, 5-18.
110. Ehdaie, B., Alloush, G. A., and Waines, J. G. (2008). Genotypic variation in linear rate of grain growth and contribution of stem reserves to grain yield in wheat. Field Crops Res. 106, 34-43.
111. Elsayed, S., Mistele, B., and Schmidhalter, U. (2011). Can changes in leaf water potential be assessed spectrally? Funct. Plant Biol. 38, 523-533.
112. Ergen, N. Z., and Budak, H. (2009). Sequencing over 13, 000 expressed sequence tags from six subtrac-tive cDNA libraries of wild and modern wheats following slow drought stress. Plant Cell Environ. 32, 220-236.
113. Falconer, D. S. (1981). Introduction to Quantitative Genetics. 2nd Edn. London: Longman, 340.
114. Fan, X. W., Li, E M., Xiong, Y. C., An, L. Z., and Long, R. J. (2008). The cooperative relation between non-hydraulic root signals and osmotic adjustment under water stress improves grain formation for spring wheat varieties. Physiol. Plantarum 132, 283-292.
115. Fares, A., and Polyakov, V. (2006). Advances in crop water management using capacitive water sensors. Adv. Agron. 90, 43-77.
116. Farooq, M., Wahid, A., Kobayashi, N., Fujita, D., and Basra, S. M. A. (2009). Plant drought stress: effects, mechanisms and management. Agron. Sustain. Dev. 29, 185-212.
117. Fernie, A. R., and Schauer, N. (2009). Metabolomics-assisted breeding: a viable option for crop improvement? Trends Genet. 25, 39-48.
118. Ferrio, J. P., Mateo, M. A., Bort, J., Abdalla, O., Voltas, J., and Araus, J. L. (2007). Relationships of grain D13C and D18O with wheat phenology and yield under water-limited conditions. Ann. Appl Biol. 150,207-215.
119. Feuillet, C., Langridge, P., and Waugh, R. (2008). Cereal breeding takes a walk on the wild side. Trends Genet. 24, 24-32.
120. Feuillet, C., Leach, J. E., Rogers, J., Schnable, P. S., and Eversole, K. (2011). Crop genome sequencing: lessons and rationales. Trends Plant Sci. 16, 77-88.
121. Fiorani, F., Rascher, U., Jahnke, S., and Schurr, U. (2012). Imaging plants dynamics in heterogenic environments. Curr. Opin. Biotech. 23, 227-235.
122. Fischer, K. S., Lafitte, R., Fukai, S., Atlin, G., and Hardy, B. (2003). Breeding Rice for Drought-Prone Environments. Los Baños, The Philippines: The International Rice Research Institute, 98.
123. Fischer, R. A., Rees, D., Sayre, K. D., Lu, Z. M., Condon, A. G., and Larque Saavedra, A. (1998). Wheat yield progress associated with higher stomatal conductance and photosynthetic rate, and cooler canopies. Crop Sci. 38, 1467-1475.
124. Forde, G. B. (2009). Is it good noise? The role of developmental instability in the shaping of a root system. J. Exp. Bot. 60, 3989-4002.
125. Forster, B. P., Ellis, R. P., Thomas, W. T. B., Newton, A. C., Tuberosa, R., This, D., El Enein, R. A., Bahri, M. H., and Ben Salem, M. (2000). The development and application of molecular markers for abiotic stress tolerance in barley. J. Exp. Bot. 51, 19-27.
126. Forster, B. P., Thomas, W T. B., and Chloupek, O. (2005). Genetic controls of barley root systems and their associations with plant performance. Aspects Appl Biol. 73, 199-204.
127. Frascaroli, E., Canè, M. A., Pè, M. E., Pea, G., Morgante, M., and Landi, P. (2009). QTL detection in maize testcross progenies as affected by related and unrelated testers. Theor. Appl Genet. 118,993-1004.
128. Frascaroli, E., and Landi, P. (1996). Pollen effects of selection in maize for the reaction to abscisic acid applied to silks. Maydica 41, 301-306.
129. Frascaroli, E., and Tuberosa, R. (1993). Effect of abscisic acid on pollen germination and tube growth of maize genotypes. Plant Breed. 110, 250-254.
130. Fukai, S., and Cooper, M. (1995). Development of drought-resistant cultivars using physio-morphological traits in rice. Field Crops Res. 40, 67-86.
131. Furbank, R. T., and Tester, M. (2011). Phenomics - technologies to relieve the phenotyping bottleneck. Trends Plant Sci. 16,635-644.
132. Gallais, A., and Hirel, B. (2004). An approach to the genetics of nitrogen use efficiency in maize. J. Exp. Bot. 55, 295-306.
133. Ganal, M. W., Altmann, T., and Röder, M. S. (2009). SNP identification in crop plants. Curr. Opin. Plant Biol. 12,211-217.
134. Gao, Y. M., and Zhu, J. (2007). Mapping QTLs with digenic epis-tasis under multiple environments and predicting heterosis based on QTL effects. Theor. Appl. Genet. 115, 325-333.
135. Gerald, J. N. F., Lehti-Shiu, M. D., Ingram, P. A., Deak, K. I., Biesiada, T., and Malamy, J. E. (2006). Identification of quantitative trait loci that regulate Arabidopsis root system size and plasticity. Genetics 172,485-498.
136. Ghimire, K. H., Quiatchon, L. A., Vikram, P., Swamy, B. P. M., Dixit, S., Ahmed, H., Hernandez, J. E., Borromeo, T. H., and Kumar, A. (2012). Identification and mapping of a QTL (qDTY1.1) with a consistent effect on grain yield under drought. Field Crops Res. 131, 88-96.
137. Giuliani, S., Sanguineti, M. C., Tuberosa, R., Bellotti, M., Salvi, S., and Landi, P. (2005). Root-ABA1, a major constitutive QTL, affects maize root architecture and leaf ABA concentration at different water regimes. J. Exp. Bot. 56, 3061-3070.
138. Gonzalez, A., Martin, I., and Ayerbe, L. (2008). Yield and osmotic adjustment capacity of barley under terminal water-stress conditions. J. Agron. Crop Sci. 194, 81-91.
139. Grando, S., and Ceccarelli, S. (1995). Seminal root morphology and coleoptile length in wild (Hordeum vulgare ssp. spontaneum) and cultivated (Hordeum vulgare ssp. vulgare) barley. Euphytica 86, 73-80.
140. Granier, C., Aguirrezabal, L., Chenu, K., Cookson, S. J., Dauzat, M., Hamard, P., Thioux, J. J., Rolland, G., Bouchier-Combaud, S., Lebaudy, A., Muller, B., Simonneau, T., and Tardieu, F. (2006). PHENOPSIS, an automated platform for reproducible phenotyping of plant responses to soil water deficit in Arabidopsis thaliana permitted the identification of an accession with low sensitivity to soil water deficit. New Phytol. 169, 623-635.
141. Grant, O. M., Chaves, M. M., and Jones, H. G. (2006). Optimizing thermal imaging as a technique for detecting stomatal closure induced by drought stress under greenhouse conditions. Physiol Plantarum 127, 507-518.
142. Grant, O. M., Tronina, L., Jones, H. G., and Chaves, M. M. (2007). Exploring thermal imaging variables for the detection of stress responses in grapevine under different irrigation regimes. J. Exp. Bot. 58,815-825.
143. Gray, S. B., Dermody, O., and DeLucia, E. H. (2010). Spectral reflectance from a soybean canopy exposed to elevated CO2 and O3.J. Exp. Bot. 61, 4413-4422.
144. Guo, P. G., Baum, M., Varshney, R. K., Graner, A., Grando, S., and Ceccarelli, S. (2008). QTLs for chlorophyll and chlorophyll fluorescence parameters in barley under post-flowering drought. Euphytica 163,203-214.
145. Gur, A., and Zamir, D. (2004). Unused natural variation can lift yield barriers in plant breeding. PLoS Biol. 2:e245. doi: 10.1371/journal.pbio.0020245
146. Gutierrez, M., Reynolds, M. P., and Klatt, A. R. (2010). Association of water spectral indices with plant and soil water relations in contrasting wheat genotypes. J. Exp. Bot. 61, 3291-3303.
147. Hamada, A., Nitta, M., Nasuda, S., Kato, K., Fujita, M., Matsunaka, H., and Okumoto, Y. (2012). Novel QTLs for growth angle of seminal roots in wheat (Triticum aestivum L.). Plant Soil 354, 395-405.
148. Hammer, G., Cooper, M., Tardieu, F., Welch, S., Walsh, B., van Eeuwijk, F., Chapman, S., and Podlich, D. (2006). Models for navigating biological complexity in breeding improved crop plants. Trends Plant Sci. 11,587-593.
149. Hammer, G. L., Chapman, S., van Oosterom, E., and Podlich, D. W. (2005). Trait physiology and crop modelling as a framework to link phenotypic complexity to underlying genetic systems. Aust. J. Agric. Res. 56, 947-960.
150. Hammer, G. L., Dong, Z. S., McLean, G., Doherty, A., Messina, C., Schusler, J., Zinselmeier, C., Paszkiewicz, S., and Cooper, M. (2009). Can changes in canopy and/or root system architecture explain historical maize yield trends in the US corn belt? Crop Sci. 49, 299-312.
151. Hammer, G. L., Sinclair, T. R., Chapman, S. C., and van Oosterom, E. (2004). On systems thinking, systems biology, and the in silico plant. Plant Physiol. 134, 909-911.
152. Hao, Z. F., Li, X. H., Xie, C. X., Li, M. S., Zhang, D. G., Bai, L., and Zhang, S. H. (2008). Two consensus quantitative trait loci clusters controlling anthesis-silking interval, ear setting and grain yield might be related with drought tolerance in maize. Ann. Appl. Biol. 153, 73-83.
153. Hargreaves, C. E., Gregory, P. J., and Bengough, A. G. (2009). Measuring root traits in barley (Hordeum vulgare ssp. vulgare and ssp. spontaneum) seedlings using gel chambers, soil sacs and X-ray microtomography. Plant Soil 316, 285-297.
154. Harris, K., Subudhi, P. K., Borrell, A., Jordan, D., Rosenow, D., Nguyen, H., Klein, P., Klein, R., and Mullet, J. (2007). Sorghum stay-green QTL individually reduce post-flowering drought-induced leaf senescence. J. Exp. Bot. 58, 327-338.
155. Hatfield, J. L., Gitelson, A. A., Schepers, J. S., and Walthall, C. L. (2008). Application of spectral remote sensing for agronomic decisions. Agron. J. 100, S117-S131.
156. Heffner, E. L., Sorrells, M. E., and Jannink, J. L. (2009). Genomic selection for crop improvement. Crop Sci. 49, 1-12.
157. Heinemann, A. B., Dingkuhn, M., Luquet, D., Combres, J. C., and Chapman, S. (2008). Characterization of drought stress environments for upland rice and maize in central Brazil. Euphytica 162,395-410.
158. Henry, A., Gowda, V. R. P., Torres, R. O., McNally, K. L., and Serraj, R. (2011). Variation in root system architecture and drought response in rice (Oryza sativa): phenotyping of the OryzaSNP panel in rainfed lowland fields. Field Crops Res. 120, 205-214.
159. Himmelbauer, M. L., Loiskandl, W., and Kastanek, F. (2004). Estimating length, average diameter and surface area of roots using two different image analyses systems. Plant Soil 260, 111-120.
160. Hiremath, P. J., Farmer, A., Cannon, S. B., Woodward, J., Kudapa, H., Tuteja, R., Kumar, A., Bhanuprakash, A., Mulaosmanovic, B., Gujaria, N., Krishnamurthy, L., Gaur, P. M., Kavikishor, P. B., Shah, T., Srinivasan, R., Lohse, M., Xiao, Y., Town, C. D., Cook, D. R., May, G. D., and Varshney, R. K. (2011). Large-scale transcriptome analysis in chickpea (Cicer arietinum L.), an orphan legume crop of the semi-arid tropics of Asia and Africa. Plant Biotechnol. J. 9,922-931.
161. Hochholdinger, F., and Tuberosa, R. (2009). Genetics and genomics of root architecture in maize. Curr. Opin. PlantBiol. 12, 172-177.
162. Hoogenboom, G., White, J. W., and Messina, C. D. (2004). From genome to crop: integration through simulation modeling. Field Crops Res. 90, 145-163.
163. Hose, E., Clarkson, D. T., Steudle, E., Schreiber, L., and Hartung, W. (2001). The exodermis: a variable apoplastic barrier. J. Exp. Bot. 52, 2245-2264.
164. Houle, D., Govindaraju, D. R., and Omholt, S. (2010). Phenomics: the next challenge. Nature Rev. Genet. 11,855-866.
165. Hund, A., Reimer, R., and Messmer, R. (2011). A consensus map of QTLs controlling the root length of maize. Plant Soil 344, 143-158.
166. Ito, K., Tanakamaru, K., Morita, S., Abe, J., and Inanaga, S. (2006). Lateral root development, including responses to soil drying, of maize (Zea mays) and wheat (Triticum aestivum) seminal roots. Physiol. Plantarum 127, 260-267.
167. Iyer-Pascuzzi, A. S., Symonova, O., Mileyko, Y., Hao, Y. L., Belcher, H., Harer, J., Weitz, J. S., and Benfey, P. N. (2010). Imaging and analysis platform for automatic pheno-typing and trait ranking of plant root systems. Plant Physiol. 152, 1148-1157.
168. Izanloo, A., Condon, A. G., Langridge, P., Tester, M., and Schnurbusch, T. (2008). Different mechanisms of adaptation to cyclic water stress in two South Australian bread wheat cultivars. J. Exp. Bot. 59, 3327-3346.
169. Jagadish, K. S. V., Cairns, J. E., Kumar, A., Somayanda, I. M., and Craufurd, P. Q. (2011). Does susceptibility to heat stress confound screening for drought tolerance in rice? Funct. PlantBiol. 38,261-269.
170. Jannink, J. L. (2007). Identifying quantitative trait locus by genetic background interactions in association studies. Genetics 176, 553-561.
171. Jansen, R. C., Tesson, B. M., Fu, J., Yang, Y., and McIntyre, L. M. (2009). Defining gene and QTL networks. Curr. Opin. PlantBiol. 12,241-246.
172. Jenks, M. A., Hasegawa, P. M., and Mohan Jain, S. (eds.) (2007). Advances in Molecular Breeding Toward Drought and Salt Tolerant Crops. Dordrecht, The Netherlands: Springer, 817.
173. Jiang, G. H., He, Y. Q., Xu, C. G., Li, X. H., and Zhang, Q. (2004). The genetic basis of stay-green in rice analyzed in a population of doubled haploid lines derived from an indica by japonica cross. Theor. Appl. Genet. 108, 688-698.
174. Johnson, M. G., Tingey, D. T., Phillips, D. L., and Storm, M. J. (2001). Advancing fine root research with minirhizotrons. Environ. Exp. Bot. 45, 263-289.
175. Johnson, W. C., Jackson, L. E., Ochoa, O., Peleman, J., St Clair, D. A., Michelmore, R. W., and van Wijk, R. (2000). Lettuce, a shallow-rooted crop, and Lactuca serriola, its wild progenitor, differ at QTL determining root architecture and deep soil water exploitation. Theor. Appl. Genet. 101, 1066-1073.
176. Jones, H. G. (2007). Monitoring plant and soil water status: established and novel methods revisited and their relevance to studies of drought tolerance. J. Exp. Bot. 58, 119-130.
177. Jones, H. G., Archer, N., Rotenberg, E., and Casa, R. (2003). Radiation measurement for plant ecophysiology. J. Exp. Bot. 54, 879-889.
178. Jones, H. G., Serraj, R., Loveys, B. R., Xiong, L. Z., Wheaton, A., and Price, A. H. (2009). Thermal infrared imaging of crop canopies for the remote diagnosis and quantification of plant responses to water stress in the field. Funct. PlantBiol. 36, 978-989.
179. Jongdee, B., Fukai, S., and Cooper, M. (2002). Leaf water potential and osmotic adjustment as physiological traits to improve drought tolerance in rice. Field Crops Res. 76, 153-163.
180. Kahinda, J. M., Lillie, E. S. B., Taigbenu, A. E., Taute, M., and Boroto, R. J. (2008). Developing suitability maps for rainwater harvesting in South Africa. Phys. Chem. Earth 33, 788-99.
181. Kamoshita, A., Babu, R. C., Boopathi, N. M., and Fukai, S. (2008). Phenotypic and genotypic analysis of drought-resistance traits for development of rice cultivars adapted to rainfed environments. Field Crops Res. 109, 1-23.
182. Kato, Y., Kamoshita, A., Yamagishi, J., Imoto, H., and Abe, J. (2007). Growth of rice (Oryza sativa L.) cultivars under upland conditions with different levels of water supply. 3. Root system development, soil moisture change and plant water status. Plant Prod. Sci. 10,3-13.
183. Kholova, J., Hash, C. T., Kakkera, A., Kocova, M., and Vadez, V. (2010a). Constitutive water-conserving mechanisms are correlated with the terminal drought tolerance of pearl millet [Pennisetum glaucum (L.) R. Br.]. J. Exp. Bot. 61, 369-377.
184. Kholova, J., Hash, C. T., Kumar, P. L., Yadav, R. S., Kocova, M., and Vadez, V. (2010b). Terminal drought-tolerant pearl millet [Pennisetum glaucum (L.)] R. Br. have high leaf ABA and limit transpiration at high vapour pressure deficit. J. Exp. Bot. 61, 1431-1440.
185. Khowaja, F. S., and Price, A. H. (2008). QTL mapping rolling, stomatal conductance and dimension traits of excised leaves in the Bala x Azucena recombinant inbred population of rice. Field Crops Res. 106, 248-257.
186. Kimura, K., Kikuchi, S., and Yamasaki, S. (1999). Accurate root length measurement by image analysis. Plant Soil 216, 117-127.
187. Kimurto, P. K., Kinyua, M. G., Birechl, R., Korir, P. C., Njoka, E. M., and Njau, P. N. (2005). Root and shoot characteristics as selection criteria for drought tolerance in bread wheat (Triticum aestivum L.) at seedling stage under tropical environment. Discov. Innov. 17, 74-84.
188. King, C. A., Purcell, L. C., and Brye, K. R. (2009). Differential wilting among soybean genotypes in response to water deficit. Crop Sci. 49,290-298.
189. Kirkham, M. B. (2004). Principles of Soil and Plant Water Relations. Burlington, MA: Elsevier Academic Press, 500.
190. Kota, R., Varshney, R. K., Prasad, M., Zhang, H., Stein, N., and Graner, A. (2008). EST-derived single nucleotide polymorphism markers for assembling genetic and physical maps of the barley genome. Funct. Integr. Genom. 8, 223-233.
191. Kumar, A., Bernier, J., Verulkar, S., Lafitte, H. R., and Atlin, G. N. (2008). Breeding for drought tolerance: direct selection for yield, response to selection and use of drought-tolerant donors in upland and lowland-adapted populations. Field Crops Res. 107,221-231.
192. Kumar, A., and Singh, D. P. (1998). Use of physiological indices as a screening technique for drought tolerance in oilseed Brassica species. Ann. Bot. 81,413-420.
193. Lafitte, H. R., and Edmeades, G. O. (1995). Stress tolerance in tropical maize is linked to constitutive changes in ear growth characteristics. Crop Sci. 35, 820-826.
194. Lafitte, H. R., Li, Z. K., Vijayakumar, C. H. M., Gao, Y M., Shi, Y., Xu, J. L., Fu, B. Y., Ali, A. J., Domingo, J., Maghirang, R., Torres, R., and Mackill, D. (2006). Improvement of rice drought tolerance through backcross breeding: evaluation of donors and selection in drought nurseries. Field Crops Res. 97, 77-86.
195. Landi, P., Albrecht, B., Giuliani, M. M., and Sanguineti, M. C. (1998). Seedling characteristics in hydro-ponic culture and field performance of maize genotypes with different resistance to root lodging. Maydica 43, 111-116.
196. Landi, P., Conti, S., Gherardi, F., Sanguineti, M. C., and Tuberosa, R. (1995). Genetic analysis of leaf ABA concentration and of agronomic traits in maize hybrids grown under different water regimes. Maydica 40, 179-186.
197. Landi, P., Frascaroli, E., and Sanguineti, M. C. (2000). Correlated responses to selection for reaction to abscisic acid applied to silks in maize. Maydica 45, 113-116.
198. Landi, P., Giuliani, M. M., Darrah, L. L., Tuberosa, R., Conti, S., and Sanguineti, M. C. (2001a). Variability for root and shoot traits in a maize population grown in hydroponics and in the field and their relationships with vertical root pulling resistance. Maydica 46, 177-182.
199. Landi, P., Sanguineti, M. C., Conti, S., and Tuberosa, R. (2001b). Direct and correlated responses to divergent selection for leaf abscisic acid concentration in two maize populations. Crop Sci. 41, 335-344.
200. Landi, P., Giuliani, S., Salvi, S., Ferri, M., Tuberosa, R., and Sanguineti, M. C. (2010). Characterization of root-yield-1.06, a major constitutive QTL for root and agronomic traits in maize across water regimes. J. Exp. Bot. 61, 3553-3562.
201. Landi, P., Sanguineti, M. C., Darrah, L. L., Giuliani, M. M., Salvi, S., Conti, S., and Tuberosa, R. (2002). Detection of QTLs for vertical root pulling resistance in maize and overlap with QTLs for root traits in hydroponics and for grain yield under different water regimes. Maydica 47, 233-243.
202. Landi, P., Sanguineti, M. C., Liu, C., Li, Y., Wang, T. Y., Giuliani, S., Bellotti, M., Salvi, S., and Tuberosa, R. (2007). Root-ABA1 QTL affects root lodging, grain yield, and other agronomic traits in maize grown under well-watered and water-stressed conditions. J. Exp. Bot. 58, 319-326.
203. Landi, P., Sanguineti, M. C., Salvi, S., Giuliani, S., Bellotti, M., Maccaferri, M., Conti, S., and Tuberosa, R. (2005). Validation and characterization of a major QTL affecting leaf ABA concentration in maize. Mol. Breed. 15,291-303.
204. Langridge, P. (2005). "Molecular breeding of wheat and barley," in Proceedings of the International Congress: In the Wake of the Double Helix: From the Green Revolution to the Gene Revolution, eds R. Tuberosa, R. L. Phillips, and M. Gale (Bologna, Italy: Avenue Media), 27-31 May, 279-286.
205. Lebreton, C., Lazic-Jancic, V., Steed, A., Pekic, S., and Quarrie, S. A. (1995). Identification of QTL for drought responses in maize and their use in testing causal relationships between traits.J. Exp. Bot. 46, 853-865.
206. Leinonen, I., Grant, O. M., Tagliavia, C. P. P., Chaves, M. M., and Jones, H. G. (2006). Estimating stomatal conductance with thermal imagery. Plant Cell Environ. 29, 1508-1518.
207. Letort, V., Mahe, P., Cournede, P. H., De Reffye, P., and Courtois, B. (2008). Quantitative genetics and functional-structural plant growth models: simulation of quantitative trait loci detection for model parameters and application to potential yield optimization. Ann. Bot. 101, 1243-1254.
208. Leung, H. (2008). Stressed genomics-bringing relief to rice fields. Curr. Opin. PlantBiol. 11,201-208.
209. Levitt, J. (1972). Responses of Plants to Environmental Stresses. New York, NY: Academic Press, 698.
210. Lippman, Z. B., Semel, Y., and Zamir, D. (2007). An integrated view of quantitative trait variation using tomato interspecific introgression lines. Curr. Opin. Genet. Dev. 17, 545-552.
211. Li, X. H., Liu, X. D., Li, M. S., and Zhang, S. H. (2003a). Identification of quantitative trait loci for anthesis-silking interval and yield components under drought stress in maize. Acta Bot. Sin. 45, 852-857.
212. Li, Z. K., Yu, S. B., Lafitte, H. R., Huang, N., Courtois, B., Hittalmani, S., Vijayakumar, C. H. M., Liu, G. F., Wang, G. C., Shashidhar, H. E., Zhuang, J. Y., Zheng, K. L., Singh, V. P., Sidhu, J. S., Srivantaneeyakul, S., and Khush, G. S. (2003b). QTL x environment interactions in rice. I. Heading date and plant height. Theor. Appl. Genet. 108, 141-153.
213. Lobell, D. B., Schlenker, W., and Costa-Roberts, J. (2011). Climate trends and global crop production since 1980. Science 333, 616-620.
214. Lopes, M. S., Reynolds, M. P., Jalal-Kamali, M. R., Moussa, M., Feltaous, Y., Tahir, I. S. A., Barma, N., Vargas, M., Mannes, Y., and Baum, M. (2012). The yield correlations of selectable physiological traits in a population of advanced spring wheat lines grown in warm and drought environments. Field Crops Res. 128, 129-136.
215. Ludlow, M. M., and Muchow, R. C. (1990). A critical evaluation of traits for improving crop yields in water-limited environments. Adv. Agron. 43, 107-153.
216. Luo, L. J. (2010). Breeding for water-saving and drought-resistance rice (WDR) in China. J. Exp. Bot. 61, 3509-3517.
217. Lu, Y L., Xu, J., Yuan, Z. M., Hao, Z. E, Xie, C. X., Li, X. H., Shah, T., Lan, H., Zhang, S. H., Rong, T. Z., and Xu, Y B. (2012). Comparative LD mapping using single SNPs and haplotypes identifies QTL for plant height and biomass as secondary traits of drought tolerance in maize. Mol. Breed. 30, 407-418.
218. Lu, Y., Zhang, S., Shah, T., Xie, C., Hao, Z., Li, X., Farkhari, M., Ribaut, J.-M., Cao, M., Rong, T., and Xu, Y (2010). Joint linkage-linkage disequilibrium mapping is a powerful approach to detecting quantitative trait loci underlying drought tolerance in maize. Proc. Natl. Acad. Sci. U.S.A. 107, 19585-19590.
219. Lynch, J. P. (2007). Roots of the second green revolution. Aust. J. Bot. 55,493-512.
220. Maccaferri, M., Sanguineti, M. C., Corneti, S., Ortega, J. L. A., Ben Salem, M., Bort, J., DeAmbrogio, E., del Moral, L. E G., Demontis, A., El-Ahmed, A., Maalouf, F., Machlab, H., Martos, V., Moragues, M., Motawaj, J., Nachit, M., Nserallah, N., Ouabbou, H., Royo, C., Slama, A., and Tuberosa, R. (2008). Quantitative trait loci for grain yield and adaptation of durum wheat (Triticum durum Desf.) across a wide range of water availability. Genetics 178, 489-511.
221. Maccaferri, M., Sanguineti, M. C., Demontis, A., El-Ahmed, A., del Moral, L. G., Maalouf, F., Nachit, M., Nserallah, N., Ouabbou, H., Rhouma, S., Royo, C., Villegas, D., and Tuberosa, R. (2011). Association mapping in durum wheat grown across a broad range of water regimes. J. Exp. Bot. 62, 409-438.
222. Mace, E. S., Singh, V., Van Oosterom, E. J., Hammer, G. L., Hunt, C. H., and Jordan, D. R. (2012). QTL for nodal root angle in sorghum (Sorghum bicolor L. Moench) co-locate with QTL for traits associated with drought adaptation. Theor. Appl. Genet. 124, 97-109.
223. Mackill, D. J. (2006). "Breeding for resistance to abiotic stresses in rice: the value of quantitative trait loci," in Plant Breeding: The Arnel, R. Hallauer International Symposium, eds K. R. Lamkey and M. Lee (Ames, IA: Blackwell Publishing), 201-212.
224. Malosetti, M., Ribaut, J.-M., Vargas, M., Crossa, J., and van Eeuwijk, E A. (2008). A multi-trait multi-environment QTL mixed model with an application to drought and nitrogen stress trials in maize (Zea mays L.). Euphytica 161, 241-257.
225. Mambelli, S., and Setter, T. L. (1998). Inhibition of maize endosperm cell division and endoreduplication by exogenously applied abscisic acid. Physiol. Plantarum 104, 266-272.
226. Manieri, J. M., Vaz, C. M. P., and De Maria, I. C. (2007). TDR spiral probe for moisture measurement in the soil profile. Revista Brasileira De Ciencia Do Solo 31, 191-198.
227. Manschadi, A. M., Christopher, J., Devoil, P., and Hammer, G. L. (2006). The role of root architectural traits in adaptation of wheat to water-limited environments. Funct. Plant Biol. 33,823-837.
228. Manschadi, A. M., Christopher, J. T., Hammer, G. L., and Devoil, P. (2010). Experimental and modelling studies of drought-adaptive root architectural traits in wheat (Triticum aestivum L.). Plant Biosyst. 144,458-462.
229. Marti, J., Bort, J., Slafer, G., and Araus, J. L. (2007). Can wheat yield be assessed by early measurements of NDVI? Ann. Appl. Biol. 150, 253-257.
230. Mathews, K. L., Malosetti, M., Chapman, S., McIntyre, L., Reynolds, M., Shorter, R., and van Eeuwijk, F. (2008). Multi-environment QTL mixed models for drought stress adaptation in wheat. Theor. Appl. Genet. 117, 1077-1091.
231. McBride, R., Candidoa, M., and Ferguson, J. (2008). Estimating root mass in maize genotypes using the electrical capacitance method. Arch. Agron. Soil Sci. 54,215-226.
232. McLaughlin, J. E., and Boyer, J. S. (2004). Sugar-responsive gene expression, invertase activity, and senescence in aborting maize ovaries at low water potentials. Ann. Bot. 94, 675-689.
233. McLaughlin, J. E., and Boyer, J. S. (2007). Functional reversion to identify controlling genes in multi-genic responses: analysis of floral abortion. J. Exp. Bot. 58, 267-277.
234. Merah, O. (2001). Potential importance of water status traits for durum wheat improvement under Mediterranean conditions. J. Agricul. Sci. 137, 139-145.
235. Merah, O., Deleens, E., Al Hakimi, A., and Monneveux, P. (2001). Carbon isotope discrimination and grain yield variations among tetraploid wheat species cultivated under contrasting precipitation regimes. J. Agron. Crop Sci. 186, 129-134.
236. Messina, C. D., Podlich, D., Dong, Z., Samples, M., and Cooper, M. (2011). Yield-trait performance landscapes: from theory to application in breeding maize for drought tolerance. J. Exp. Bot. 62, 855-868.
237. Messmer, R., Fracheboud, Y., Banziger, M., Vargas, M., Stamp, P., and Ribaut, J. M. (2009). Drought stress and tropical maize: QTL- by-environment interactions and stability of QTLs across environments for yield components and secondary traits. Theor. Appl. Genet. 119,913-930.
238. Mir, R. R., Zaman-Allah, M., Sreenivasulu, N., Trethowan, R., and Varshney, R. K. (2012). Integrated genomics, physiology and breeding approaches for improving drought tolerance in crops. Theor. Appl. Genet. 125, 625-645.
239. Mittler, R., and Blumwald, E. (2010). Genetic engineering for modern agriculture: challenges and perspectives. Annu. Rev. Plant Biol. 61, 443-462.
240. Mohamed, M. F., Keutgen, N., Tawfik, A. A., and Noga, G. (2002). Dehydration-avoidance responses of tepary bean lines differing in drought resistance. J. Plant Physiol. 159,31-38.
241. Moncada, P., Martinez, C. P., Borrero, J., Chatel, M., Gauch, H., Guimaraes, E., Tohme, J., and McCouch, S. R. (2001). Quantitative trait loci for yield and yield components in an Oryza sativa x Oryza rufipogon BC2F2 population evaluated in an upland environment. Theor. Appl. Genet. 102,41-52.
242. Mondini, L., Nachit, M. M., Porceddu, E., and Pagnotta, M. A. (2011). HRM technology for the identification and characterization of INDEL and SNP mutations in genes involved in drought and salt tolerance of durum wheat. Plant Genet. Resour. 9, 166-169.
243. Monneveux, P., and Ribaut, J.-M. (2006). "Secondary traits for drought tolerance improvement in cereals," in Drought Adaptation in Cereals, ed J.-M. Ribaut (Binghamton, NY: The Haworth Press, Inc), 97-143.
244. Montes, J., Melchinger, A., and Reif, J. (2007). Novel throughput pheno-typing platforms in plant genetic studies. Trends Plant Sci. 12, 433-436.
245. Morgan, J. W. (1984). Osmoregulation and water stress in higher plants. Annu. Rev. Plant Physiol. 35, 299-319.
246. Morison, J. I. L., Baker, N. R., Mullineaux, P. M., and Davies, W. J. (2008). Improving water use in crop production. Philos. Trans. R. Soc. B Biol. Sci. 363, 639-658.
247. Munns, R. (1988). Why measure osmotic adjustment? Aust. J. Plant Physiol. 15, 717-726.
248. Nagy, V., Stekauerova, V., Milics, G., Lichner, L., and Nemenyi, M. (2008). Harmonisation of different measuring methods of soil moisture used in Zitny ostrov (SK) and szigetköz (HU). Cereal Res. Commun. 36(Suppl. 5), 1475-1478.
249. Nelson, D., Repetti, P., Adams, T., Creelman, R., Wu, J., Warner, D., Anstrom, D., Bensen, R., Castiglioni, P., Donnarummo, M., Hinchey, B., Kumimoto, R., Maszle, D., Canales, R., Krolikowski, K., Dotson, S., Gutterson, N., Ratcliffe, O., and Heard, J. (2007). Plant nuclear factor Y (NF-Y) B subunits confer drought tolerance and lead to improved corn yields on water-limited acres. Proc. Natl. Acad Sci. U.S.A. 104, 16450-16455.
250. Nguyen, H. T., Babu, R. C., and Blum, A. (1997). Breeding for drought resistance in rice: physiology and molecular genetics considerations. Crop Sci. 37, 1426-1434.
251. Nhan, D. Q., Thaw, S., Matsuo, N., Xuan, T. D., Hong, N. H., and Mochizuki, T. (2006). Evaluation of root penetration ability in rice using the wax-layers and the soil cake methods. J. Fac. Agric. Kyushu Univ. 51,251-256.
252. Nissen, T., Rodriguez, V., and Wander, M. (2008). Sampling soybean roots: a comparison of excavation and coring methods. Commun. Soil Sci. Plant Anal. 39, 1875-1883.
253. Noborio, K. (2001). Measurement of soil water content and electrical conductivity by time domain reflectometry: a review. Comput. Electron. Agric. 31, 213-237.
254. Norton, G. J., and Price, A. H. (2009). Mapping of quantitative trait loci for seminal root morphology and gravitropic response in rice. Euphytica 166, 229-237.
255. Ober, E. S., Setter, T. L., Madison, J. T., Thompson, J. F., and Shapiro, P. S. (1991). Influence of water deficit on maize endosperm development: enzyme activities and RNA transcripts of starch and zein synthesis, abscisic acid, and cell division. Plant Physiol. 97, 154-164.
256. Olivares-Villegas, J. J., Reynolds, M. P., and McDonald, G. K. (2007). Drought-adaptive attributes in the Seri/Babax hexaploid wheat population. Funct. Plant Biol. 34, 189-203.
257. Ortiz, R., Braun, H. J., Crossa, J., Crouch, J. H., Davenport, G., Dixon, J., Dreisigacker, S., Duveiller, E., He, Z. H., Huerta, J., Joshi, A. K., Kishii, M., Kosina, P., Manes, Y., Mezzalama, M., Morgounov, A., Murakami, J., Nicol, J., Ferrara, G. O., Ortiz-Monasterio, J. I., Payne, T. S., Pena, R. J., Reynolds, M. P., Sayre, K. D., Sharma, R. C., Singh, R. P., Wang, J. K., Warburton, M., Wu, H. X., and Iwanaga, M. (2008). Wheat genetic resources enhancement by the International Maize and Wheat Improvement Center (CIMMYT). Genet. Resour. Crop Evol. 55, 1095-1140.
258. Ortiz, R., Iwanaga, M., Reynolds, M. P., Wu, H., and Crouch, J. H. (2007a). Overview on crop genetic engineering for drought-prone environments. J. SAT Agric. Res. 4, http://www.icrsat.org/journal/Speci alProject/sp3.pdf.
259. Ortiz, R., Trethowan, R., Ferrara, G. O., Iwanaga, M., Dodds, J. H., Crouch, J. H., Crossa, J., and Braun, H. J. (2007b). High yield potential, shuttle breeding, genetic diversity, and a new international wheat improvement strategy. Euphytica 157, 365-384.
260. Palta, J. A., Turner, N. C., French, R. J., and Buirchell, B. J. (2007). Physiological responses of lupin genotypes to terminal drought in a Mediterranean-type environment. Ann. Appl. Biol. 150,269-279.
261. Pantuwan, G., Fukai, S., Cooper, M., Rajatasereekul, S., and O'Toole, J. C. (2002). Yield response of rice (Oryza sativa L) genotypes to different types of drought under rain-fed lowlands - Part 3. Plant factors contributing to drought resistance. Field Crops Res. 73, 181-200.
262. Passioura, J. B. (1977). Grain yield, harvest index and water use of wheat. J. Aust. Inst. Agric. Sci. 43, 117-120.
263. Passioura, J. B. (1983). Roots and drought resistance. Agric. Water Manage. 7, 265-280.
264. Passioura, J. B. (1996). Drought and drought tolerance. Plant Growth Regul. 20, 79-83.
265. Passioura, J. B. (2002). Environmental biology and crop improvement. Funct. Plant Biol. 29, 537-546.
266. Passioura, J. B. (2006). The perils of pot experiments. Funct. Plant Biol. 33, 1075-1079.
267. Passioura, J. B. (2007). The drought environment: physical, biological and agricultural perspectives. J. Exp. Bot. 58, 113-117.
268. Passioura, J. B. (2010). Scaling up: the essence of effective agricultural research. Funct. Plant Biol. 37, 585-591.
269. Passioura, J. B., and Angus, J. F. (2010). Improving productivity of crops in water-limited environments. Adv. Agron. 106, 37-75.
270. Patzold, S., Mertens, F. M., Bornemann, L., Koleczek, B., Franke, J., Feilhauer, H., and Welp, G. (2008). Soil heterogeneity at the field scale: a challenge for precision crop protection. Precision Agric. 9, 367-390.
271. Peccoud, J., Vander Velden, K., Podlich, D., Winkler, C., Arthur, L., and Cooper, M. (2004). The selective values of alleles in a molecular network model are context dependent. Genetics 166, 1715-1725.
272. Pekic, S., Stikic, R., Tomljanovic, L., Andjelkovic, V., Ivanovic, M., and Quarrie, S. A. (1995). Characterization of maize lines differing in leaf abscisic acid content in the field. 1. Abscisic acid physiology. Ann. Bot. 75, 67-73.
273. Peleg, Z., Fahima, T., and Saranga, Y. (2007). Drought resistance in wild emmer wheat: physiology, ecology, and genetics. Isr. J. Plant Sci. 55, 289-296.
274. Peleg, Z., Saranga, Y., Krugman, T., Abbo, S., Nevo, E., and Fahima, T. (2008). Allelic diversity associated with aridity gradient in wild emmer wheat populations. Plant CellEnviron. 31,39-49.
275. Peleman, J. D., and Van der Voort, J. R. (2003). Breeding by design. Trends PlantSci. 8,330-334.
276. Pennisi, E. (2008). The blue revolution, drop by drop, gene by gene. Science 320, 171-173.
277. Pinto, R. S., Reynolds, M. P., Mathews, K. L., McIntyre, C. L., Olivares-Villegas, J. J., and Chapman, S. C. (2010). Heat and drought adaptive QTL in a wheat population designed to minimize confounding agronomic effects. Theor. Appl. Genet. 121, 1001-1021.
278. Poroyko, V., Spollen, W. G., Hejlek, L. G., Hernandez, A. G., LeNoble, M. E., Davis, G., Nguyen, H. T., Springer, G. K., Sharp, R. E., and Bohnert, H. J. (2007). Comparing regional transcript profiles from maize primary roots under well-watered and low water potential conditions. J. Exp. Bot. 58, 279-289.
279. Praba, M. L., Cairns, J. E., Babu, R. C., and Lafitte, H. R. (2009). Identification of physiological traits underlying cultivar differences in drought tolerance in rice and wheat. J. Agron. Crop Sci. 195, 30-46.
280. Price, A. H., and Tomos, A. D. (1997). Genetic dissection of root growth in rice (Oryza sativa L.). II: mapping quantitative trait loci using molecular markers. Theor. Appl. Genet. 95, 143-152.
281. Price, A. H., Cairns, J. E., Horton, P., Jones, H. G., and Griffiths, H. (2002a). Linking drought-resistance mechanisms to drought avoidance in upland rice using a QTL approach: progress and new opportunities to integrate stomatal and mesophyll responses. J. Exp. Bot. 53, 989-1004.
282. Price, A. H., Steele, K. A., Gorham, J., Bridges, J. M., Moore, B. J., Evans, J. L., Richardson, P., and Jones, R. G. W. (2002b). Upland rice grown in soil-filled chambers and exposed to contrasting water-deficit regimes I. Root distribution, water use and plant water status. Field Crops Res. 76, 11-24.
283. Price, A. H., Steele, K. A., Moore, B. J., and Jones, R. G. W (2002c). Upland rice grown in soil-filled chambers and exposed to contrasting water-deficit regimes. II. Mapping quantitative trait loci for root morphology and distribution. Field Crops Res. 76, 25-43.
284. Price, A. H., Tomos, A. D., and Virk, D. S. (1997a). Genetic dissection of root growth in rice (Oryza sativa L.). I: a hydroponic screen. Theor. Appl. Genet. 95, 132-142.
285. Price, A. H., Young, E. M., and Tomos, A. D. (1997b). Quantitative trait loci associated with stomatal conductance, leaf rolling and heading date mapped in upland rice (Oryza sativa). New Phytol. 137,83-91.
286. Quarrie, S. A. (1991). "Implications of genetic differences in ABA accumulation for crop production," in Abscisic Acid: Physiology and Biochemistry, eds W J. Davies and H. G. Jones (Oxford, UK: Bios Scientific Publishers), 227-243.
287. Quarrie, S. A., Whitford, P. N., Appleford, N. E. J., Wang, T. L., Cook, S. K., and Henson, I. E. (1988). A monoclonal antibody to (S)-abscisic acid: its characterisation and use in a radioimmunoassay for measuring abscisic acid in crude extracts of cereals and lupin leaves. Planta 173, 330-339.
288. Rabbani, M. A., Maruyama, K., Abe, H., Khan, M. A., Katsura, K., Ito, Y., Yoshiwara, K., Seki, M., Shinozaki, K., and Yamaguchi-Shinozaki, K. (2003). Monitoring expression profiles of rice genes under cold, drought, and high-salinity stresses and abscisic acid application using cDNA microarray and RNA gel-blot analyses. Plant Physiol. 133, 1755-1767.
289. Rafalski, J. A. (2011). Genomic tools for the analysis of genetic diversity. Plant Genet Resour. 9, 159-162.
290. Rahman, H., Pekic, S., Lazic-Jancic, V., Quarrie, S. A., Shah, S. M. A., Pervez, A., and Shah, M. M. (2011). Molecular mapping of quantitative trait loci for drought tolerance in maize plants. Genet. Mol. Res. 10, 889-901.
291. Rajendran, K., Tester, M., and Roy, S. J. (2009). Quantifying the three main components of salinity tolerance in cereals. Plant Cell Environ. 32,237-249.
292. Rascher, U., Blossfeld, S., Fiorani, E, Jahnke, S., Jansen, M., Kuhn, A. J., Matsubara, S., Martin, L. L. A., Merchant, A., Metzner, R., Muller-Linow, M., Nagel, K. A., Pieruschka, R., Pinto, F., Schreiber, C. M., Temperton, V. M., Thorpe, M. R., van Dusschoten, D., van Volkenburgh, E., Windt, C. W., and Schurr, U. (2011). Non-invasive approaches for phenotyping of enhanced performance traits in bean. Funct. Plant Biol. 38, 968-983.
293. Rauf, S., Sadaqat, H. A., Khan, I. A., and Ahmed, R. (2009). Genetic analysis of leaf hydraulics in sunflower (Helianthus annuus L) under drought stress. Plant Soil Environ. 55, 62-69.
294. Ravi, K., Vadez, V., Isobe, S., Mir, R. R., Guo, Y., Nigam, S. N., Gowda, M. V. C., Radhakrishnan, T., Bertioli, D. J., Knapp, S. J., and Varshney, R. K. (2011). Identification of sev eral small main-effect QTLs and a large number of epistatic QTLs for drought tolerance related traits in groundnut (Arachis hypogaea L.). Theor. Appl. Genet. 122, 1119-1132.
295. Rebetzke, G., Condon, A., Farquhar, G., Appels, R., and Richards, R. (2008a). Quantitative trait loci for carbon isotope discrimination are repeatable across environments and wheat mapping populations. Theor. Appl. Genet. 118, 123-137.
296. Rebetzke, G. J., van Herwaarden, A. F., Jenkins, C., Weiss, M., Lewis, D., Ruuska, S., Tabe, L., Fettell, N. A., and Richards, R. A. (2008b). Quantitative trait loci for water-soluble carbohydrates and associations with agronomic traits in wheat. Aust. J. Agric. Res. 59, 891-905.
297. Rebetzke, G. J., Condon, A. G., Richards, R. A., and Farquhar, G. D. (2002). Selection for reduced carbon isotope discrimination increases aerial biomass and grain yield of rainfed bread wheat. Crop Sci. 42, 739-745.
298. Rebetzke, G. J., Ellis, M. H., Bonnett, D. G., and Richards, R. A. (2007). Molecular mapping of genes for coleoptile growth in bread wheat (Triticum aestivum L.). Theor. Appl. Genet. 114, 1173-1183.
299. Ren, H. B., Wei, K. F., Jia, W S., Davies, W. J., and Zhang, J. H. (2007). Modulation of root signals in relation to stomatal sensitivity to root-sourced abscisic acid in drought-affected plants. J. Integr. Plant Biol. 49, 1410-1420.
300. Rensink, W. A. (2005). Microarray expression profiling resources for plant genomics. Trends Plant Sci. 10, 603-609.
301. Ren, Y., He, X., Liu, D., Li, J., Zhao, X., Li, B., Tong, Y., Zhang, A., and Li, Z. (2012). Major quantitative trait loci for seminal root morphology of wheat seedlings. Mol. Breed. 30, 139-148.
302. Reshmidevi, T. V., Jana, R., and Eldho, T. I. (2008). Geospatial estimation of soil moisture in rain-fed paddy fields using SCS-CN-based model. Agric. Water Manage. 95, 447-457.
303. Reymond, M., Muller, B., Leonardi, A., Charcosset, A., and Tardieu, E (2003). Combining quantitative trait loci analysis and an ecophysio-logical model to analyze the genetic variability of the responses of maize leaf growth to temperature and water deficit. Plant Physiol. 131, 664-675.
304. Reymond, M., Muller, B., and Tardieu, E (2004). Dealing with the genotype x environment interaction via a modelling approach: a comparison of QTLs of maize leaf length or width with QTLs of model parameters. J. Exp. Bot. 55, 2461-2472.
305. Reynolds, M., Dreccer, F., and Trethowan, R. (2007). Drought-adaptive traits derived from wheat wild relatives and landraces. J. Exp. Bot. 58, 177-186.
306. Reynolds, M., Manes, Y., Izanloo, A., and Langridge, P. (2009). Phenotyping approaches for physiological breeding and gene discovery in wheat. Ann. Appl. Biol. 155, 309-320.
307. Reynolds, M., Manes, Y., Izanloo, A., and Langridge, P. (2011). Raising yield potential of wheat. I. Overview of a consortium approach and breeding strategies. J. Exp. Bot. 62, 439-452.
308. Reynolds, M. P., and Pfeiffer, W. H. (2000). "Applying physiological strategies to improve yield potential," in Durum Wheat Improvement in the Mediterranean Region: New Challenges. Options Mediterranèennes, Vol. 40, eds C. Royo, M. M. Nachit, N. di Fonzo, and J. L. Araus (Zaragozza: CIHEAM), 95-103.
309. Reynolds, M. P., Mujeeb-Kazi, A., and Sawkins, M. (2005). Prospects for utilising plant-adaptive mechanisms to improve wheat and other crops in drought- and salinity-prone environments. Ann. Appl. Biol. 146, 239-259.
310. Reynolds, M. P., Rajaram, S., and Sayre, K. D. (1999). Physiological and genetic changes of irrigated wheat in the post-green revolution period and approaches for meeting projected global demand. Crop Sci. 39, 1611-1621.
311. Reynolds, M., and Tuberosa, R. (2008). Translational research impacting on crop productivity in drought-prone environments. Curr. Opin. Plant Biol. 11, 171-179.
312. Ribaut, J.-M. (ed.). (2006). Drought Adaptation in Cereals. Binghamton, NY, USA: The Haworth Press, Inc. p. 642.
313. Ribaut, J.-M., Hoisington, D., Banziger, M., Setter, T., and Edmeades, G. (2004). "Genetic dissection of drought tolerance in maize: a case study," in Physiology and Biotechnology Integration for Plant Breeding, eds H. T. Nguyen and A. Blum (New York, USA: Marcel Dekker, Inc.), 571-609.
314. Ribaut, J.-M., Hoisington, D. A., Deutsch, J. A., Jiang, C., and Gonzalez de Leon, D. (1996). Identification of quantitative trait loci under drought conditions in tropical maize. 1. Flowering parameters and the anthesis-silking interval. Theor. Appl. Genet. 92, 905-914.
315. Ribaut, J.-M., and Ragot, M. (2007). Marker-assisted selection to improve drought adaptation in maize: the backcross approach, perspectives, limitations, and alternatives.J. Exp. Bot. 58, 351-360.
316. Richards, R. A. (1991). Crop improvement for temperate Australia: future opportunities. Field Crops Res. 96, 141-169.
317. Richards, R. A. (1996). Defining selection criteria to improve yield under drought. Plant Growth Regul. 20, 157-166.
318. Richards, R. A. (2000). Selectable traits to increase crop photosynthesis and yield of grain crops. J. Exp. Bot. 51, 447-458.
319. Richards, R. A. (2006). Physiological traits used in the breeding of new cultivars for water-scarce environments. Agric. Water Manage. 80, 197-211.
320. Richards, R. A. (2008). Genetic opportunities to improve cereal root systems for dryland agriculture. Plant Prod. Sci. 11, 12-16.
321. Richards, R. A., Watt, M., and Rebetzke, G. J. (2007). Physiological traits and cereal germplasm for sustainable agricultural systems. Euphytica 154,409-425.
322. Richards, R., Rebetzke, G., Condon, A., and van Herwaarden, A. (2002). Breeding opportunities for increasing the efficiency of water use and crop yield in temperate cereals. Crop Sci. 42, 111-121.
323. Rossel, R. A. V., Walvoort, D. J. J., McBratney, A. B., Janik, L. J., and Skjemstad, J. O. (2006). Visible, near infrared, mid infrared or combined diffuse reflectance spectroscopy for simultaneous assessment of various soil properties. Geoderma 131, 59-75.
324. Rostoks, N., Mudie, S., Cardle, L., Russell, J., Ramsay, L., Booth, A., Svensson, J. T., Wanamaker, S. I., Walia, H., Rodriguez, E. M., Hedley, P. E., Liu, H., Morris, J., Close, T. J., Marshall, D. F., and Waugh, R. (2005). Genome-wide SNP discovery and linkage analysis in barley based on genes responsive to abiotic stress. Mol. Genet. Genomics 274, 515-527.
325. Royo, C., Martos, V., Ramdani, A., Villegas, D., Rharrabti, Y., and del Moral, L. E G. (2008). Changes in yield and carbon isotope discrimination of Italian and Spanish durum wheat during the 20th century. Agronomy J. 100, 352-360.
326. Ruta, N., Liedgen, M., Fracheboud, Y., Stamp, P., and Hund, A. (2010). QTLs for the elongation of axile and lateral roots of maize in response to low water potential. Theor. Appl. Genet. 120,621-631.
327. Sabadin, P. K., Malosetti, M., Boer, M. P., Tardin, E D., Santos, E G., Guimaraes, C. T., Gomide, R. L., Andrade, C. L. T., Albuquerque, P. E. P., Caniato, E E, Mollinari, M., Margarido, G. R. A., Oliveira, B. F., Schaffert, R. E., Garcia, A. A. F., van Eeuwijk, E A., and Magalhaes, J. V. (2012). Studying the genetic basis of drought tolerance in sorghum by managed stress trials and adjustments for pheno-logical and plant height differences. Theor. Appl Genet. 124, 1389-1402.
328. Sadok, W., Naudin, P., Boussuge, B., Muller, B., Welcker, C., and Tardieu, F. (2007). Leaf growth rate per unit thermal time follows QTL- dependent daily patterns in hun dreds of maize lines under natu rally fluctuating conditions. Plant CellEnviron. 30, 135-146.
329. Sadok, W., and Sinclair, T. R. (2011). Crops yield increase under water-limited conditions: review of recent physiological advances for soybean genetic improvement. Adv. Agron. 113,313-337.
330. Sadras, V. (2002). Interaction between rainfall and nitrogen fertilisation of wheat in environments prone to terminal drought: economic and environmental risk analysis. Field Crops Res. 77, 201-215.
331. Sadras, V. O., Reynolds, M. P., de la Vega, A. J., Petrie, P. R., and Robinson, R. (2009). Phenotypic plasticity of yield and phenology in wheat, sunflower and grapevine. Field Crops Res. 110,242-250.
332. Saini, H. S., and Westgate, M. E. (2000). Reproductive development in grain crops during drought. Adv. Agron. 68, 59-96.
333. Saint Pierre, C., Crossa, J. L., Bonnett, D., Yamaguchi-Shinozaki, K., and Reynolds, M. P. (2012). Phenotyping transgenic wheat for drought resistance. J. Exp. Bot. 63, 1799-1808.
334. Salekdeh, G. H., Reynolds, M., Bennett, J., and Boyer, J. (2009). Conceptual framework for drought phenotyping during molecular breeding. Trends Plant Sci. 14,488-496.
335. Salem, K. F. M., Roder, M. S., and Borner, A. (2007). Identification and mapping quantitative trait loci for stem reserve mobilisation in wheat (Triticum aestivumL.). Cereal Res. Commun. 35, 1367-1374.
336. Salvi, S., Corneti, S., Bellotti, M., Carraro, N., Sanguineti, M. C., Castelletti, S., and Tuberosa, R. (2011). Genetic dissection of maize phenology using an intraspecific introgression library. BMC Plant Biol. 11,4.
337. Salvi, S., Sponza, G., Morgante, M., Tomes, D., Niu, X., Fengler, K. A., Meeley, R., Ananiev, E. V., Svitashev, S., Bruggemann, E., Li, B., Hainey, C. F., Radovic, S., Zaina, G., Rafalski, J. A., Tingey, S. V., Miao, G. H., Phillips, R. L., and Tuberosa, R. (2007). Conserved noncoding genomic sequences associated with a flowering-time quantitative trait locus in maize. Proc. Natl. Acad. Sci. U.S.A. 104, 11376-11381.
338. Salvi, S., and Tuberosa, R. (2007). "Cloning QTLs in plants," in Genomics-Assisted Crop Improvement, Vol 1, Genomics approaches and platforms, eds R. K. Varshney and R. Tuberosa (Dordrecht, The Netherlands: Springer), 207-225.
339. Salvi, S., Tuberosa, R., Chiapparino, E., Maccaferri, M., Veillet, S., van Beuningen, L., Isaac, P., Edwards, K., and Phillips, R. L. (2002). Toward positional cloning of Vgt1, a QTL controlling the transition from the vegetative to the reproductive phase in maize. Plant Mol. Biol. 48, 601-613.
340. Sanguineti, M. C., Duvick, D. N., Smith, S., Landi, P., and Tuberosa, R. (2006). Effects of long-term selection on seedling traits and ABA accumulation in commercial maize hybrids. Maydica 51, 329-338.
341. Sanguineti, M. C., Giuliani, M. M., Govi, G., Tuberosa, R., and Landi, P. (1998). Root and shoot traits of maize inbred lines grown in the field and in hydroponic culture and their relationships with root lodging. Maydica 43, 211-216.
342. Sanguineti, M. C., Li, S., Maccaferri, M., Corneti, S., Rotondo, F., Chiari, T., and Tuberosa, R. (2007). Genetic dissection of seminal root architecture in elite durum wheat germplasm. Ann. Appl. Biol. 151, 291-305.
343. Sanguineti, M. C., Tuberosa, R., Landi, P., Salvi, S., Maccaferri, M., Casarini, E., and Conti, S. (1999). QTL analysis of drought related traits and grain yield in relation to genetic variation for leaf abscisic acid concentration in field-grown maize.J. Exp. Bot. 50, 1289-1297.
344. Saranga, Y., Menz, M., Jiang, C. X., Wright, R. J., Yakir, D., and Paterson, A. H. (2001). Genomic dissection of genotype x environment interactions conferring adaptation of cotton to arid conditions. Genome Res. 11, 1988-1995.
345. Sawkins, M. C., Farmer, A. D., Hoisington, D., Sullivan, J., Tolopko, A., Jiang, Z., and Ribaut, J.-M. (2004). Comparative Map and Trait Viewer (CMTV): an integrated bioinformatic tool to construct consensus maps and compare QTL and functional genomics data across genomes and experiments. Plant Mol. Biol. 56, 465-480.
346. Seiler, C., Harshavardhan, V. T., Rajesh, K., Reddy, P. S., Strickert, M., Rolletschek, H., Scholz, U., Wobus, U., and Sreenivasulu, N. (2011). ABA biosynthesis and degradation contributing to ABA homeosta-sis during barley seed development under control and terminal drought-stress conditions. J. Exp. Bot. 62, 2615-2632.
347. Seki, M., Umezawa, T., Urano, K., and Shinozaki, K. (2007). Regulatory metabolic networks in drought stress responses. Curr. Opin. Plant Biol. 10, 296-302.
348. Serraj, R., McNally, K. L., Slamet-Loedin, I., Kohli, A., Haefele, S. M., Atlin, G., and Kumar, A. (2011). Drought resistance improvement in rice: an integrated genetic and resource management strategy. PlantProd. Sci. 14, 1-14.
349. Serraj, R., and Sinclair, T. R. (2002). Osmolyte accumulation: can it really help increase crop yield under drought conditions? Plant Cell Environ. 25, 333-341.
350. Setter, T. L. (2006). "The role of abscisic acid under water-limited conditions," in Drought Adaptation in Cereals, ed J.-M. Ribaut (Binghamton, NY, USA: The Haworth Press, Inc.), 505-530.
351. Setter, T. L., Flannigan, B. A., and Melkonian, J. (2001). Loss of kernel set due to water deficit and shade in maize: carbohydrate supplies, abscisic acid, and cytokinins. Crop Sci. 41, 1530-1540.
352. Setter, T. L., Mambelli, S., Flannigan, B. A., and Kim, S. E. (1996). Water deficit inhibition of cell division in apical-kernel endosperms of maize: ABA and sugar responses. Plant Physiol. 111,225-225.
353. Sharp, R. E. (2002). Interaction with ethylene: changing views on the role of abscisic acid in root and shoot growth responses to water stress. Plant CellEnviron. 25, 211-222.
354. Sharp, R. E., Poroyko, V., Hejlek, L. G., Spollen, W. G., Springer, G. K., Bohnert, H. J., and Nguyen, H. T. (2004). Root growth maintenance during water deficits: physiology to functional genomics. J. Exp. Bot. 55, 2343-2351.
355. Shukla, A. K., Ladha, J. K., Singh, V. K., Dwivedi, B. S., Balasubramanian, V., Gupta, R. K., Sharma, S. K., Singh, Y., Pathak, H., Pandey, P. S., Padre, A. T., and Yadav, R. L. (2004). Calibrating the leaf color chart for nitrogen management in different genotype of rice and wheat in a systems perspective. Agron. J. 96, 1606-1621.
356. Sinclair, T. R. (2011). Challenges in breeding for yield increase for drought. Trends Plant Sci. 16, 289-293.
357. Sinclair, T. R., Messina, C. D., Beatty, A., and Samples, M. (2010). Assessment across the United States of the benefits of altered soybean drought traits. Agron. J. 102, 475-482.
358. Sinclair, T. R., and Purcell, L. C. (2005). Is a physiological perspective relevant in a 'genocentric' age? J. Exp. Bot. 56, 2777-2782.
359. Sinclair, T. R., Purcell, L. C., King, C. A., Sneller, C. H., Chen, P. Y., and Vadez, V. (2007). Drought tolerance and yield increase of soybean resulting from improved symbiotic N-2 fixation. Plant Genet. Resour. 101, 68-71.
360. Sinclair, T. R., Purcell, L. C., and Sneller, C. H. (2004). Crop transformation and the challenge to increase yield potential. Trends Plant Sci. 9, 70-75.
361. Sinclair, T. R., Zwieniecki, M. A., and Holbrook, N. M. (2008). Low leaf hydraulic conductance associated with drought tolerance in soybean. Physiol. Plant. 132,446-451.
362. Singh, V., van Oosterom, E. J., Jordan, D.R., Hunt, C. H., and Hammer, G. L. (2011). Genetic variabil ity and control of nodal root angle in sorghum. Crop Sci. 51, 2011-2020.
363. Siopongco, J., Sekiya, K., Yamauchi, A., Egdane, J., Ismail, A. M., and Wade, L. J. (2008). Stomatal responses in rainfed lowland rice to partial soil drying; evidence for root signals. PlantProd. Sci. 11,28-41.
364. Siopongco, J., Sekiya, K., Yamauchi, A., Egdane, J., Ismail, A. M., and Wade, L. J. (2009). Stomatal responses in rainfed lowland rice to partial soil drying; comparison of two lines. PlantProd. Sci. 12, 17-28.
365. Sirichandra, C., Wasilewska, A., Vlad, F., Valon, C., and Leung, J. (2009). The guard cell as a single-cell model towards understanding drought tolerance and abscisic acid action. J. Exp. Bot. 60, 1439-1463.
366. Slafer, G. A., Araus, J. L., Royo, C., and Garcia Del Moral, L. F. (2005). Promising eco-physiological traits for genetic improvement of cereal yields in Mediterranean environments. Ann. Appl. Biol. 146, 61-70.
367. Smit, A. L., and Groenwold, J. (2005). Root characteristics of selected field crops: data from the Wageningen Rhizolab (1990-2002). Plant Soil 272, 365-384.
368. Snape, J. W., Foulkes, M. J., Simmonds, J., Leverington, M., Fish, L. J., Wang, Y., and Ciavarrella, M. (2007). Dissecting gene x environmental effects on wheat yields via QTL and physiological analysis. Euphytica 154,401-408.
369. Soltani, A., and Sinclair, T. R. (2012). Optimizing chickpea phenology to available water under current and future climates. Eur. J. Agron. 38, 22-31.
370. Spielmeyer, W., Hyles, J., Joaquim, P., Azanza, F., Bonnett, D., Ellis, M. E., Moore, C., and Richards, R. A. (2007). A QTL on chromosome 6A in bread wheat (Triticum aestivum) is associated with longer coleoptiles, greater seedling vigour and final plant height. Theor. Appl. Genet. 115,59-66.
371. Spollen, W. G., LeNoble, M. E., Samuels, T. D., Bernstein, N., and Sharp, R. E. (2000). Abscisic acid accumulation maintains maize primary root elongation at low water potentials by restricting ethylene production. Plant Physiol. 122, 967-976.
372. Sreenivasulu, N., Sunkar, R., Wobus, U., and Strickert, M. (2010). Array platforms and bioinformatics tools for the analysis of plant transcrip-tome in response to abiotic stress. Methods Mol. Biol. 639, 71-93.
373. Steele, K. A., Price, A. H., Shashidhar, H. E., and Witcombe, J. R. (2006). Marker-assisted selection to introgress rice QTLs controlling root traits into an Indian upland rice variety. Theor. Appl. Genet. 112, 208-221.
374. Steele, K. A., Virk, D. S., Kumar, R., Prasad, S. C., and Witcombe, J. R. (2007). Field evaluation of upland rice lines selected for QTLs controlling root traits. Field Crops Res. 101, 180-186.
375. Subashri, M., Robin, S., Vinod, K. K., Rajeswari, S., Mohanasundaram, K., and Raveendran, T. S. (2009). Trait identification and QTL validation for reproductive stage drought resistance in rice using selective genotyping of near flowering RILs. Euphytica 166,291-305.
376. Swaminathan, M. S. (2005). "Towards an ever-green revolution," in Proceedings of the International Congress: In the Wake of the Double Helix: From the Green Revolution to the Gene Revolution, 27-31 May 2003, Bologna, Italy eds R. Tuberosa, R. L. Phillips, and M. Gale (Bologna, Italy: Avenue Media), 25-36.
377. Takai, T., Fukuta, Y., Sugimoto, A., Shiraiwa, T., and Horie, T. (2006). Mapping of QTLs controlling carbon isotope discrimination in the photosynthetic system using recom-binant inbred lines derived from a cross between two different rice (Oryza sativa L.) cultivars. Plant Prod. Sci. 9,271-280.
378. Talamè, V., Ozturk, N. Z., Bohnert, H. J., and Tuberosa, R. (2007). Barley transcript profiles under dehydration shock and drought stress treatments: a comparative analysis. J. Exp. Bot. 58, 229-240.
379. Talamè, V., Sanguineti, M. C., Chiapparino, E., Bahri, H., Ben Salem, M., Forster, B. P., Ellis, R. P., Rhouma, S., Zoumarou, W., Waugh, R., and Tuberosa, R. (2004). Identification of Hordeum sponta-neum QTL alleles improving field performance of barley grown under rainfed conditions. Ann. Appl. Biol. 144,309-319.
380. Tambussi, E. A., Bort, J., and Araus, J. L. (2007). Water use efficiency in C3 cereals under Mediterranean conditions: a review of physiological aspects. Ann. Appl. Biol. 150, 307-321.
381. Tan, L. B., Zhang, P. J., Liu, E X., Wang, G. J., Ye, S., Zhu, Z. F., Fu, Y. C., Cai, H. W., and Sun, C. Q. (2008). Quantitative trait loci underlying domestication and yield-related traits in an Oryza sativa x Oryza rufipogon advanced backcross population. Genome 51, 692-704.
382. Tangpremsri, T., Fukai, S., and Fischer, K. S. (1995). Growth and yield of sorghum lines extracted from a population for differences in osmotic adjustment. Aust. J. Agric. Res. 46, 61-74.
383. Tang, R. S., Zheng, J. C., Jin, Z. Q., Zhang, D., Huang, H., and Chen, L. G. (2008). Possible correlation between high temperature-induced floret sterility and endogenous levels of IAA, GAs and ABA in rice (Oryza sativa L.). Plant Growth Regul. 54, 37-43.
384. Tanksley, S. D., and McCouch, S. R. (1997). Seed banks and molecular maps: unlocking genetic potential from the wild. Science 277, 1063-1066.
385. Tardieu, E (2003). Virtual plants: modelling as a tool for the genomics of tolerance to water deficit. Trends Plant Sci. 8,9-14.
386. Tardieu, E (2012). Any trait or trait-related allele can confer drought tolerance: just design the right drought scenario. J. Exp. Bot. 63, 25-31.
387. Tardieu, F., Muller, B., and Reymond, M. (2003). Leaf growth regulation under drought: combining ecophys-iological modelling, QTL analysis and search for mechanisms. J. Exp. Bot. 54, 18-19.
388. Tardieu, F., Reymond, M., Muller, B., Granier, C., Simonneau, T., Sadok, W., and Welcker, C. (2005). Linking physiological and genetic analyses of the control of leaf growth under changing environmental conditions. Aust. J. Agric. Res. 56, 937-946.
389. Tardieu, F., and Tuberosa, R. (2010). Dissection and modelling of abiotic stress tolerance in plants. Curr. Opin. PlantBiol. 13, 206-212.
390. Tester, M., and Langridge, P. (2010). Breeding technologies to increase crop production in a changing world. Science 327, 818-822.
391. Texeira, L. R., Braccini, A. D. E., Sperandio, D., Scapim, C. A., Schuster, I., and Vigano, J. (2008). Evaluation of soybean cultivars regarding tolerance to water stress in substrate containing polyethylene glycol. Acta Sci. Agron. 30, 217-223.
392. Thomas, H., and Howarth, C. J. (2000). Five ways to stay green. J. Exp. Bot. 51,329-337.
393. Thompson, A. J., Andrews, J., Mulholland, B. J., McKee, J. M. T., Hilton, H. W., Black, C. R., and Taylor, I. B. (2007). Overproduction of abscisic acid in tomato increases transpiration efficiency and root hydraulic conductivity and influences leaf expansion. Plant Physiol. 143, 1905-1917.
394. Timperio, A. M., Egidi, M. G., and Zolla, L. (2008). Proteomics applied on plant abiotic stresses: role of heat shock proteins (HSP). J. Proteomics 71,391-411.
395. Tollenaar, M., and Lee, E. A. (2006). Dissection of physiological processes underlying grain yield in maize by examining genetic improvement and heterosis. Maydica 51, 399-408.
396. Tollenaar, M., and Wu, J. (1999). Yield improvement in temperate maize is attributable to greater stress tolerance. Crop Sci. 39, 1597-1604.
397. Trachsel, S., Kaeppler, S. M., Brown, K. M., and Lynch, J. P. (2011). Shovelomics: high throughput phe-notyping of maize (Zea mays L.) root architecture in the field. Plant Soil 341, 75-87.
398. Tracy, S. R., Roberts, J. A., Black, C. R., McNeill, A., Davidson, R., and Mooney, S. J. (2010). The X-factor: visualizing undisturbed root architecture in soils using X-ray computed tomography. J. Exp. Bot. 61, 311-313.
399. Trebbi, D., Maccaferri, M., de Heer, P., Sorensen, A., Giuliani, S., Salvi, S., Sanguineti, M. C., Massi, A., van der Vossen, E. A. G., and Tuberosa, R. (2011). High-throughput SNP discovery and genotyping in durum wheat (Triticum durum Desf.). Theor. Appl. Genet. 123, 555-569.
400. Trethowan, R., and Crossa, J. (2007). Lessons learnt from forty years of international spring bread wheat trials. Euphytica 157, 385-390.
401. Tuberosa, R. (2004). "Molecular approaches to unravel the genetic basis of water use efficiency," in Water Use Efficiency in Plant Biology, ed M. A. Bacon (Oxford, UK: Blackwell Publishing), 228-301.
402. Tuberosa, R., Giuliani, S., Parry, M. A. J., and Araus, J. L. (2007a). Improving water use efficiency in Mediterranean agriculture: what limits the adoption of new technologies? Ann. Appl. Biol. 150, 157-162.
403. Tuberosa, R., Salvi, S., Giuliani, S., Sanguineti, M. C., Bellotti, M., Conti, S., and Landi, P. (2007b). Genome-wide approaches to investigate and improve maize response to drought. Crop Sci. 47, S-120-S-141.
404. Tuberosa, R., Graner, A., and Varshney, R. K. (2011a). Genomics of plant genetic resources: an introduction. Plant Genet. Resour. 9, 151-154.
405. Tuberosa, R., Salvi, S., Giuliani, S., Sanguineti, M. C., Frascaroli, E., Conti S., and Landi, P. (2011b). "Genomics of root architecture and functions in maize," in Root genomics eds A. Costa de Oliveira and R. K. Varshney (Dordrecht, The Netherlands: Springer), 179-204.
406. Tuberosa, R., and Salvi, S. (2006). Genomics-based approaches to improve drought tolerance of crops. Trends Plant Sci. 11,405-412.
407. Tuberosa, R., Salvi, S., Sanguineti, M. C., Landi, P., Maccaferri, M., and Conti, S. (2002a). Mapping QTLs regulating morpho-physiological traits and yield: case studies, shortcomings and perspectives in drought-stressed maize. Ann. Bot. 89,941-963.
408. Tuberosa, R., Sanguineti, M. C., Landi, P., Giuliani, M. M., Salvi, S., and Conti, S. (2002b). Identification of QTLs for root characteristics in maize grown in hydroponics and analysis of their overlap with QTLs for grain yield in the field at two water regimes. Plant Mol. Biol. 48, 697-712.
409. Tuberosa, R., Salvi, S., Sanguineti, M. C., Maccaferri, M., Giuliani, S., and Landi, P. (2003). Searching for quantitative trait loci controlling root traits in maize: a critical appraisal. Plant Soil 255, 35-54.
410. Tuberosa, R., Sanguineti, M. C., and Landi, P. (1994). Abscisic acid concentration in the leaf and xylem sap, leaf water potential, and stomatal conductance in drought-stressed maize. Crop Sci. 34, 1557-1563.
411. Tuberosa, R., Sanguineti, M. C., Landi, P., Salvi, S., Casarini, E., and Conti, S. (1998). RFLP mapping of quantitative trait loci controlling abscisic acid concentration in leaves of drought-stressed maize (Zea mays L.). Theor. Appl. Genet. 97, 744-755.
412. Tuberosa, R., Sanguineti, M. C., Stefanelli, S., and Quarrie, S. A. (1992). Number of endosperm cells and weight of barley kernels in relation to endosperm abscisic acid content. Eur. J. Agron. 1, 125-132.
413. Tuinstra, M. R., Ejeta, G., and Goldsbrough, P. (1998). Evaluation of near-isogenic sorghum lines contrasting for QTL markers associated with drought tolerance. Crop Sci. 38, 835-842.
414. Turner, N. C. (1997). Further progress in crop water relations. Adv. Agron. 528,293-338.
415. Turner, N. C., Palta, J. A., Shrestha, R., Ludwig, C., Siddique, K. H. M., and Turner, D. W. (2007). Carbon isotope discrimination is not correlated with transpiration efficiency in three cool-season grain legumes (Pulses). J. Integr. Plant Biol. 49, 1478-1483.
416. Ulloa, M., Cantrell, R. G., Percy, R. G., Zeiger, E., and Lu, Z. M. (2000). QTL analysis of stomatal conductance and relationship to lint yield in an interspecific cotton. J. Cotton Sci. 4, 10-18.
417. Umezawa, T., Fujita, M., Fujita, Y., Yamaguchi-Shinozaki, K., and Shinozaki, K. (2006). Engineering drought tolerance in plants: discovering and tailoring genes to unlock the future. Curr. Opin. Biotechnol. 17,113-122.
418. Vadez, V., Deshpande, S. P., Kholova, J., Hammer, G. L., Borrell, A. K., Talwar, H. S., and Hash, C. T. (2011). Stay-green quantitative trait loci's effects on water extraction, transpiration efficiency and seed yield depend on recipient parent background. Funct. Plant Biol. 38, 553-566.
419. van Beem, J., Smith, M. E., and Zobel, R. W. (1998). Estimating root mass in maize using a portable capacitance meter. Agron. J. 90, 566-570.
420. van Eeuwijk, F. (2006). "Genotype by environment interaction-basics and beyond," in Plant Breeding: TheArnel, R. Hallauer International Symposium, eds K. R. Lamkey and M. Lee (Ames, IA, USA: Blackwell Publishing), 155-170.
421. van Eeuwijk, F. A., Malosetti, M., Yin, X. Y., Struik, P. C., and Stam, P. (2005). Statistical models for genotype by environment data: from conventional ANOVA models to eco-physiological QTL models. Aust. J. Agric. Res. 56, 883-894.
422. van Ginkel M., and Ogbonnaya, F. (2007). Novel genetic diversity from synthetic wheats in breeding cultivars for changing production conditions. Field Crops Res. 104, 86-94.
423. Vargas, M., van Eeuwijk, F. A., Crossa, J., and Ribaut, J.-M. (2006). Mapping QTLs and QTL x environment interaction for CIMMYT maize drought stress program using factorial regression and partial least squares methods. Theor. Appl. Genet. 112, 1009-1023.
424. Varshney, R. K., Nayak, S. N., May, G. D., and Jackson, S. A. (2009). Next-generation sequencing technologies and their implications for crop genetics and breeding. Trends Biotechnol. 27, 522-530.
425. Varshney, R. K., Paulo, M. J., Grando, S., van Eeuwijk, F. A., Keizer, L. C. P., Guo, P., Ceccarelli, S., Kilian, A., Baum, M., and Graner, A. (2012). Genome wide association analyses for drought tolerance related traits in barley (Hordeum vulgare L.). Plant Genet. Resour. 126, 171-180.
426. Varshney, R. K., Pazhamala, L., Kashiwagi, J., Gaur, P. M., Krishnamurthy, L., and Hoisington, D. (2011). "Genomics and physiological approaches for root trait breeding to improve drought tolerance in chickpea (Cicer arietinum L.)," in Root genomics eds A. Costa de Oliveira and R. K. Varshney (Dordrecht, The Netherlands: Springer), 233-250.
427. Venuprasad, R., Bool, M. E., Dalid, C. O., Bernier, J., Kumar, A., and Atlin, G. N. (2009a). Genetic loci responding to two cycles of divergent selection for grain yield under drought stress in a rice breeding population. Euphytica 167, 261-269.
428. Venuprasad, R., Dalid, C. O., Del Valle, M., Zhao, D., Espiritu, M., Cruz, M. T. S., Amante, M., Kumar, A., and Atlin, G. N. (2009b). Identification and characterization of large-effect quantitative trait loci for grain yield under lowland drought stress in rice using bulk-segregant analysis. Theor. Appl. Genet. 120, 177-190.
429. Venuprasad, R., Bool, M. E., Quiatchon, L., and Atlin, G. N. (2012). A QTL for rice grain yield in aerobic environments with large effects in three genetic backgrounds. Theor. Appl. Genet. 124, 323-332.
430. Vereecken, H., Huisman, J. A., Bogena, H., Vanderborght, J., Vrugt, J. A., and Hopmans, J. W. (2008). On the value of soil moisture measurements in vadose zone hydrology: a review. Water Resour. Res. 44, 21.
431. Verslues, P. E., Agarwal, M., Katiyar-Agarwal, S., Zhu, J. H., and Zhu, J. K. (2006). Methods and concepts in quantifying resistance to drought, salt and freezing, abiotic stresses that affect plant water status. Plant I 45, 523-539.
432. Vij, S., and Tyagi, A. K. (2007). Emerging trends in the functional genomics of the abiotic stress response in crop plants. Plant Biotechnol. J. 5, 361-380.
433. Vikram, P., Swamy, B. P. M., Dixit, S., Ahmed, H. U., Sta Cruz, M. T., Singh, A. K., and Kumar, A. (2011). qDTY(1.1), a major QTL for rice grain yield under reproductive-stage drought stress with a consistent effect in multiple elite genetic backgrounds. BMC Genet. 12, 89.
434. Wade, L. J., Kamoshita, A., Yamauchi, A., and Azhiri-Sigari, T. (2000). Genotypic variation in response of rainfed lowland rice to drought and rewatering. I. Growth and water use. PlantProd. Sci. 3, 173-179.
435. Wasilewska, A., Vlad, F., Sirichandra, C., Redko, Y., Jammes, F., Valon, C., Frey, N. F. D., and Leung, J. (2008). An update on abscisic acid signaling in plants and more. Mol. Plant 1, 198-217.
436. Wasson, A. P., Richards, R. A., Chatrath, R., Misra, S. C., Prasad, S. V. S., Rebetzke, G. J., Kirkegaard, J. A., Christopher J., and Watt, M. (2012). Traits and selection strategies to improve root systems and water uptake in water-limited wheat crops.J. Exp. Bot. 63, 3485-3498.
437. Waugh, R., Jannink, J. L., Muehlbauer, G. J., and Ramsay, L. (2009). The emergence of whole genome association scans in barley. Curr. Opin. PlantBiol. 12,218-222.
438. Welcker, C., Boussuge, B., Bencivenni, C., Ribaut, J.-M., and Tardieu, F. (2007). Are source and sink strengths genetically linked in maize plants subjected to water deficit? A QTL study of the responses of leaf growth and of Anthesis-Silking Interval to water deficit. J. Exp. Bot. 58, 339-349.
439. Welcker, C., Sadok, W., Dignat, G., Renault, M., Salvi, S., Charcosset, A., and Tardieu, F. (2011). A common genetic determinism for sensitivities to soil water deficit and evaporative demand: meta-analysis of quantitative trait loci and introgression lines of maize. Plant Physiol. 157, 718-729.
440. Werban, U., al Hagrey, S. A., and Rabbel, W (2008). Monitoring of root-zone water content in the laboratory by 2D geoelectrical tomography. J. Plant Nutr. Soil Sci. 171, 927-935.
441. White, J. W., Andrade-Sanchez, P., Gore, M. A., Bronson, K. F., Coffelt, T. A., Conley, M. M., Feldmann, K. A., French, A. N., Heun, J. T., Hunsaker, D. J., Jenks, M. A., Kimball, B. A., Roth, R. L., Strand, R. J., Thorp, K. R., Wall, G. W and Wang, G. Y (2012). Field-based phenomics for plant genetics research. Field Crops Res. 133, 101-112.
442. Winterhalter, L., Mistele, B., Jampatong, S., and Schmidhalter, U. (2011a). High throughput phenotyping of canopy water mass and canopy temperature in well-watered and drought stressed tropical maize hybrids in the vegetative stage. Eur. J. Agron. 35, 22-32.
443. Winterhalter, L., Mistele, B., Jampatong, S., and Schmidhalter, U. (2011b). High-throughput sensing of aerial biomass and above-ground nitrogen uptake in the vegetative stage of well-watered and drought stressed tropical maize hybrids. Crop Sci. 51,479-489.
444. Witcombe, J. R., Hollington, P. A., Howarth, C. J., Reader, S., and Steele, K. A. (2008). Breeding for abiotic stresses for sustainable agriculture. Philos. Trans. R. Soc. B Biol. Sci. 363, 703-716.
445. Xiong, Y C, Li, F. M., Zhang, T., and Xia, C. (2007). Evolution mechanism of non-hydraulic root-to-shoot signal during the anti-drought genetic breeding of spring wheat. Environ. Exp. Bot. 59, 193-205.
446. Xu, X., Yuan, H., Li, S., and Monneveux, P. (2007). Relationship between carbon isotope discrimination and grain yield in spring wheat under different water regimes and under saline conditions in the Ningxia Province (North-west China). J. Agron. Crop Sci. 193, 422-434.
447. Xu, Y B., and Crouch, J. H. (2008). Marker-assisted selection in plant breeding: from publications to practice. Crop Sci. 48,391-407.
448. Yadav, R. S., Sehgal, D., and Vadez, V (2011). Using genetic mapping and genomics approaches in understanding and improving drought tolerance in pearl millet. J. Exp. Bot. 62, 397-408.
449. Yang, J. C., Zhang, J. H., Liu, K., Wang, Z. Q., and Liu, L. J. (2007). Abscisic acid and ethylene interact in rice spikelets in response to water stress during meiosis. J. Plant Growth Regul. 26, 318-328.
450. Yang, S. J., Vanderbeld, B., Wan, J. X., and Huang, Y F. (2010). Narrowing down the targets: towards successful genetic engineering of drought-tolerant crops. Mol. Plant 3, 469-490.
451. Yang, Z., Sinclair, T. R., Zhu, M., Messina, C. D., Cooper, M., and Hammer, G. L. (2012). Temperature effect on transpiration response of maize plants to vapour pressure deficit. Environ. Exp. Bot. 78, 157-162.
452. Yin, X., and Struik, P. C. (2008). Applying modelling experiences from the past to shape crop systems biology: the need to converge crop physiology and functional genomics. New Phytol. 179, 629-642.
453. Yin, X., Struik, P. C., and Kropff, M. J. (2004). Role of crop physiology in predicting gene-to-phenotype relationships. Trends Plant Sci. 9, 426-432.
454. Yin, X. Y., Stam, P., Kropff, M. J., and Schapendonk, A. H. C. M. (2003). Crop modeling, QTL mapping, and their complementary role in plant breeding. Agron. J. 95, 90-98.
455. Yin, X. Y., Struik, P. C., van Eeuwijk, E A., Stam, P., and Tang, J. J. (2005). QTL analysis and QTL-based prediction of flowering phenology in recombinant inbred lines of barley. J. Exp. Bot. 56, 967-976.
456. Yu, G. R., Zhuang, J., Nakayama, K., and Jin, Y (2007). Root water uptake and profile soil water as affected by vertical root distribution. Plant Ecol. 189, 15-30.
457. Yue, B., Xue, W. Y., Xiong, L. Z., Yu, X. Q., Luo, L. J., Cui, K. H., Jin, D. M., Xing, Y Z., and Zhang, Q. F. (2006). Genetic basis of drought resistance at reproductive stage in rice: separation of drought tolerance from drought avoidance. Genetics 172, 1213-1228.
458. Zaman-Allah, M., Jenkinson, D. M., and Vadez, V. (2011a). A conservative pattern of water use, rather than deep or profuse rooting, is critical for the terminal drought tolerance of chickpea. J. Exp. Bot. 62, 4239-4252.
459. Zaman-Allah, M., Jenkinson, D. M., and Vadez, V. (2011b). Chickpea genotypes contrasting for seed yield under terminal drought stress in the field differ for traits related to the control of water use. Funct. Plant Biol. 38,270-281.
460. Zhang, H., Tan, G. L. L., Yang, L. N. N., Yang, J. C., Zhang, J. H., and Zhao, B. H. (2009). Hormones in the grains and roots in relation to post-anthesis development of inferior and superior spikelets in japonica/indica hybrid rice. Plant Physiol. Biochem. 47, 195-204.
461. Zhang, J., and Davies, W. J. (1990). Does ABA in the xylem control the rate of leaf growth in soil dried maize and sunflower plants? J. Exp. Bot. 41, 1125-1132.
462. Zhang, J. X., Nguyen, H. T., and Blum, A. (1999). Genetic analysis of osmotic adjustment in crop plants. J.Exp. Bot. 50, 291-302.
463. Zhao, X. Q., Xu, J. L., Zhao, M., Lafitte, R., Zhu, L. H., Fu, B. Y., Gao, Y M., and Li, Z. K. (2008). QTLs affecting morpho-physiological traits related to drought tolerance detected in overlapping introgression lines of rice (Oryza sativaL.). Plant Sci. 174, 618-625.
464. Zheng, B. Y., Shi, L. J., Ma, Y T., Deng, Q. Y., Li, B. G., and Guo, Y. (2008). Comparison of architecture among different cultivars of hybrid rice using a spatial light model based on 3-D digitising. Funct. Plant Biol. 35,900-910.
465. Zheng, H. J., Wu, A. Z., Zheng, C. C., Wang, Y F., Cai, R., Shen, X. F., Xu, R. R., Liu, P., Kong, L. J., and Dong, S. T. (2009). QTL mapping of maize (Zea mays) stay-green traits and their relationship to yield. Plant Breed. 128, 54-62.
466. Zhu, J., Ingram, P. A., Benfey, P. N., and Elich, T. (2011). From lab to field, new approaches to phenotyping root system architecture. Curr. Opin. Plant Biol. 14, 310-317.
467. Zhu, J. M., Mickelson, S. M., Kaeppler, S. M., and Lynch, J. P. (2006). Detection of quantitative trait loci for seminal root traits in maize (Zea mays L.) seedlings grown under differential phosphorus levels. Theor. Appl. Genet. 113, 1-10.