Integration of biotechnology, plant breeding and crop physiology. Dealing with complex interactions from a physiological perspective

Crop Physiology: Applications for Genetic Improvement and Agronomy: Second Edition

Volumn , Issue , 2015, Pages 487-503

  Andrade, Fernando H ^a   Sala, Rodrigo G ^b   Pontaroli, Ana C ^a   León, Alberto ^c   Castro, Sebastián ^a  

^a UNIVERSIDAD NACIONAL DE MAR DEL PLATA   (Argentina)

^b Monsanto   (Argentina)

^c Advanta Seeds   (Argentina)

Author keywords

Biotechnology; Crop physiology; Environment; Interaction; Interdisciplinary approach; Plant breeding; Traits; Yield potential; Yield stability

Indexed keywords

EID: 84942609647     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-0-12-417104-6.00019-4     Document Type: Chapter

References (144)

1. Abbate P., Andrade F., Lazaro L., et al. Grain yield increase in modern Argentinean wheat cultivars. Crop Sci. 1998, 38:1203-1209.
2. Abbate, P., Pontaroli, A., Lázaro, L., Gutheim, F., 2012. A method of screening for spike fertility in wheat. J. Agric. Sci. (Camb.) available on CJO2012 doi:10.1017/S0021859612000068.
3. Andrade, F., 2011. Latecnología y la producción agrícola. El pasado y los actuales de safíos. Ediciones INTA.
4. Andrade F.H., Ferreiro M. Reproductive growth of maize, sunflower and soybean at different source levels during grain filling. Field Crops Res. 1996, 48:155-165.
5. Andrade F., Vega C., Uhart S., Cirilo A., Cantarero M., Valentinuz O. Kernel number determination in maize. Crop Sci. 1999, 39:453-459.
6. Andrade F., Echarte L., Rizzalli R., Dellamaggiora A., Casanovas M. Kernel number prediction in maize under nitrogen or water stress. Crop Sci. 2002, 42:1173-1179.
7. Andrade F.H., Sadras V.O., Vega C.R., Echarte L. Physiological determinants of crop growth and yield in maize, sunflower and soybean. Applications to crop management, modeling and breeding. J. Crop Improve. 2005, 14:51-101.
8. Andrade F.H., Abbate P., Otegui M., Cirilo A., Cerrudo A. Ecophysiological basis for crop management. Am. J. Plant Sci. Biotechnol. 2010, 4:23-34.
9. Ashraf M. Inducing drought tolerance in plants: recent advances. Biotechnol. Adv. 2010, 28:169-183.
10. Austin D.F., Lee M. Detection of quantitative trait loci for grain yield and yield components in maize across generations in stress and nonstress environments. Crop Sci. 1998, 38:1296-1308.
11. Benedict J.H., Sachs E.S., Altman D.W., et al. Field performance of cotton expressing transgenic CryIA insecticidal proteins for resistance to Heliothis virescens and Helicover pazea (Lepidoptera: Noctuidae). J. Econ. Entomol. 1996, 89:230-238.
12. Berger B., Parent B., Tester M. High-throughput shoot imaging to study drought responses. J. Exp. Bot. 2010, 61:3519-3528.
13. Blázquez M. Flower development pathways. J. Cell Sci. 2000, 113:3547-3548.
14. Blum A. Drought resistance, water-use efficiency, and yield potential - are they compatible, dissonant, or mutually exclusive?. Aust. J. Agric. Res. 2005, 56:1159-1168.
15. Bolaños J., Edmeades G. The importance of the anthesis-silking interval in breeding for drought tolerance in tropical maize. Field Crops Res. 1996, 48:65-80.
16. Brookes G., Barfoot P. GM crops: global socio-economic and environmental impacts 1996-2011 2013, PG Economics Ltd, Dorchester, UK.
17. Bruce W.B., Edmeades G.O., Barker T.C. Molecular and physiological approaches to maize improvement to drought tolerance. J. Exp. Bot. 2002, 53:13-25.
18. Camadro E.L., Peloquin S.J. Cross-incompatibility between two sympatric polyploid Solanum species. Theor. Appl. Genet. 1981, 60:65-70.
19. Campos H., Cooper M., Habben J.E., Edmeades G.O., Schussler J.R. Improving drought tolerance in maize: a view from industry. Field Crops Res. 2004, 90:19-34.
20. Cantagallo J., Chimenti C., Hall A. Number of seeds per unit area in sunflower correlates well with a photothermal quotient. Crop Sci. 1997, 37:1780-1786.
21. Capelle V., Remoué C., Moreau L., et al. QTLs and candidate genes for desiccation and abscisic acid content in maize kernels. BMC Plant Biol. 2010, 10:2.
22. Capristo P., Rizzalli R., Andrade F. Ecophysiological yield components of maize hybrids with contrasting maturity. Agron. J. 2007, 99:1111-1118.
23. Cassman K., Grassini P., van Wart J. Crop yield potential, yield trends, and global food security in a changing climate. Handbook of climate change and agroecosystems 2010, Imperial College Press, London. D. Hillel, C. Rosenzweig (Eds.).
24. Castiglioni P., Warner D., Bensen R., et al. Bacterial RNA chaperones confer abiotic stress tolerance in plants and improved grain yield in maize under water-limited conditions. Plant Physiol. 2008, 147:446-455.
25. Castro, S., 2013. Estabilidad de rendimiento y mecanismo seco físiologícos sociados con la inflacion de granos en hibridos de maiz y en suslineas parentales. Tesis de Maestría FCA, UNMP.
26. Cattivelli L., Rizza F., Badeck F., Mazzucotelli E., Mastrangelo A., Francia E. Drought tolerance improvement in crop plants: an integrated view from breeding to genomics. Field Crops Res. 2008, 105:1-14.
27. Causse M., Rocher J., Henry A., Charcosset A., Prioul J., de Vienne D. Genetic detection of the relationship between carbon metabolism and early growth in maize with emphasis on key-enzyme loci. Mol. Breed. 1995, 1:259-272.
28. Caviglia O., Andrade F. Sustainable intensification of agriculture in the Argentinean Pampas: Capture and use efficiency of environmental resources. Am. J. Plant Sci. Biotechnol. 2010, 3:1-8.
29. Cerrudo A., Fernandez E., Di Matteo J., Robles M., Andrade F. Critical period for yield determination in maize. Crop Past. Sci. 2013, 64:580-587.
30. Chapman S.C., Cooper M., Podlich D.W., Hammer G.L. Evaluating plant breeding strategies by simulating gene action and dryland environments effects. Agron. J. 2003, 95:99-113.
31. Chapman S.C., Hammer G.L., Podlich D.W., Cooper M. Linking biophysical and genetic models to integrate physiology, molecular biology and plant breeding. Quantitative genetics, genomics and plant breeding 2002, 167-187. CAB International, Wallingford. M.S. Kang (Ed.).
32. Cirilo A.G., Actis M., Andrade F., Valentinuz O. Crop management affects dry-milling quality of flint maize kernels. Field Crops Res. 2011, 122:140-150.
33. Connor D.J., Hall A.J. Sunflower physiology. Sunflower technology and production 1997, 113-182. ASA, CSSA, and SSSA, Madison, WI. A.A. Schneiter (Ed.).
34. Cooper M., van Eeuwijk F., Hammer G., Podlich D., Messina C. Modeling QTL for complex traits: detection and context for plant breeding. Curr. Opin. Plant Biol. 2009, 12:231-240.
35. Creus C., Bazzalo M.E., Grondona M., Andrade F.H., León A.J. Disease expression and ecophysiological yield components in sunflower isohybrids with and without Verticillium dahliae resistance. Crop Sci. 2007, 47:703-710.
36. De Santa Eduviges, J. M., 2010. Potencial de rendimiento y tolerancia a sequía en híbridos de maíz. Tesis Magister Scientiae, Facultad de CienciasAgrarias, Universidad Nacional de Mar del Plata: Balcarce. Argentina.
37. Debaeke P., Aboudrare A. Adaptation of crop management to water-limited environments. Eur. J. Agron. 2004, 21:433-446.
38. Deikman J., Petracek M., Heard J. Drought tolerance through biotechnology: improving translation from the laboratory to farmers' fields. Curr. Opin. Biotechnol. 2012, 23:243-250.
39. Denison R.F. Darwinian agriculture: how understanding evolution can improve agriculture 2012, Princeton University Press, Princeton.
40. Deperi, S.I., Alonso, M.P., Woyann, L.G., Pontaroli, A.C., 2012. Detección de marcadores moleculares asociados a la fertilidad de la espiga de trigo pan. XIV Latin American Genetics Congress (Rosario, Argentina, October 28-31, 2012).
41. Donald C.M. The breeding of crop ideotypes. Euphytica 1968, 17:385-403.
42. Dosio G.A., Aguirrezábal L., Andrade F.H., Pereyra V.R. Solar radiation intercepted during seed filling and oil production in two sunflower hybrids. Crop Sci. 2000, 40:1637-1644.
43. Dunwell J.M. Novel food products from genetically modified crop plants: methods and future prospects. Int. J. Food Sci. Technol. 1998, 33:205-213.
44. Echarte L., Andrade F., Vega C., Tollenaar M. Kernel number determination in Argentinean maize hybrids released between 1965 and 1993. Crop Sci. 2004, 44:1654-1661.
45. Echarte L., Andrade F., Sadras V., Abbate P. Kernel weight and its response to source manipulations during grain filling in Argentinean maize hybrids released in different decades. Field Crops Res. 2006, 96:301-312.
46. Edmeades G. Progress in achieving and delivering drought tolerance in maize. An update 2013, ISAAA, Ithaca, New York.
47. Edmeades G.O., McMaster G.S., White J.W., Campos H. Genomics and the physiologist: bridging the gap between genes and crop response. Field Crops Res. 2004, 90:5-18.
48. Egli D., Bruening W. Shade and temporal distribution of pod production and pod set in soybean. Crop Sci. 2005, 45:1764-1769.
49. Elmore R.W., Roeth F.W., Klein R.N., et al. Glyphosate-resistant soybean cultivar response to glyphosate. Agron. J. 2001, 93:404-407.
50. Fischer R.A. Number of kernels in wheat crops and the influence of solar radiation and temperature. J. Agric. Sci. 1985, 105:447-461.
51. Fonts C., Andrade F.H., Grondona M., Hall A.J., León A.J. Phenological characterization of near-isogenic sunflower families bearing two QTL for photoperiodic response. Crop Sci. 2008, 48:1579-1585.
52. Funatsuki H., Kuroda M., Lazzeri P.A., Muller E., Lorz H., Kishinami I. Fertile transgenic barley generated by direct transfer to protoplasts. Theor. Appl. Genet. 1995, 91:707-712.
53. Gelvin S.B. Agrobacterium-mediated plant transformation: The biology behind the "gene-jockeying" tool. Microbiol. Mol. Biol. Rev. 2003, 67:16-37.
54. Gonzalez F., Terrile I., Falcon M. Spike fertility and duration of stem elongation as promising traits to improve potential grain number (and yield): variation in modern Argentinean wheats. Crop Sci. 2011, 51:1693-1702.
55. Gosal S., Wani S., Kang M. Biotechnology and drought tolerance. J. Crop. Improve. 2009, 23:19-54.
56. Grassini P., Eskridge K.M., Cassman K.G. Distinguishing between yield advances and yield plateaus in historical crop production trends. Nat. Commun. 2013, 4. doi:10.1038/ncomms3918.
57. Grillo S., Blanco A., Cattivelli L., Coraggio I., Leone A., Salvi S. Plant genetic and molecular responses to water deficit. Ital. J. Agron. 2010, 1:617-638.
58. Guo P., Bai G., Carver R., Li A., Bernardo R., Baum M. Transcriptional analysis between two wheat near-isogenic lines contrasting in aluminium tolerance under aluminium stress. Mol. Genet. Genomics 2007, 277:1-12.
59. Habben J., Zinselmeier C., Sun Y., et al. Effect of stress on gene expression profiles of corn reproductive tissues 2001, ASA-CSSA-SSSA, Madison, WI, Abstracts of the CSSA. CDROM.
60. Hall A.J., Richards R.A. Prognosis for genetic improvement of yield potential and water-limited yield of major grain crops. Field Crops Res. 2013, 143:18-33.
61. Hall A., Sadras V. Whither crop physiology?. Crop physiology: applications for genetic improvement and agronomy 2009, Macmillian Publishing Solutions. V. Sadras, D. Calderini (Eds.).
62. Hallauer A.R. History, contribution, and future of quantitative genetics in plant breeding: Lessons from maize. Crop Sci. 2007, 47:S4-S19.
63. Henikoff S., Comai L. Single nucleotide mutations for plant functional genomics. Annu. Rev. Plant Biol. 2003, 54:375-401.
64. Holland J.B. Genetic architecture of complex traits in plants. Curr. Opin. Plant Biol. 2007, 10:156-161.
65. Hussain S., Kayani M., Amjad M. Transcription factors as tools to engineer enhanced drought stress tolerance in plants. Biotechnol. Prog. 2011, 27:297-306.
66. Imaizumi T., Key S. Photoperiodic control of flowering: not only by coincidence. Trends Plant Sci. 2006, 11:550-558.
67. Ishitani M., Rao I., Wenzl P., Beebe S., Tohme J. Integration of genomics approach with traditional breeding towards improving abiotic stress adaptation: drought and aluminium toxicity as case studies. Field Crops Res. 2004, 90:35-45.
68. Izquierdo N., Aguirrezábal L., Andrade F., Geroudet C., Pereyra Iraola M., Valentinuz O. Intercepted solar radiation affects oil fatty acid composition in crop species. Field Crops Res. 2009, 114:66-74.
69. Izquierdo N., Aguirrezábal L., Andrade F., Pereyra V. Night temperature affects fatty acid composition in sunflower oil depending on the hybrid and the phenological stage. Field Crops Res. 2002, 77:115-126.
70. Jauhar P.P. Modern biotechnology as an integral supplement to conventional plant breeding: The prospects and challenges. Crop Sci. 2006, 46:1841-1859.
71. Jauhar P.P., Chibbar R.N. Chromosome-mediated and direct gene transfers in wheat. Genome 1999, 42:570-583.
72. Johnston S.A., den Nijs T.P.M., Peloquin S.J., Hanneman R.E. The significance of genic balance to endosperm development in interspecific crosses. Theor. Appl. Genet. 1980, 56:293-297.
73. Jones N., Ougham H., Thomas H. Markers and mapping: we are all geneticists now. New Phytol. 1997, 137:165-177.
74. Kholova J., Hash C., Kakkera A., Kocova M., Vadez V. Constitutive water-conserving mechanisms are correlated with the terminal drought tolerance of pearl millet. J. Exp. Bot. 2010, 61:369-377.
75. Landi P., Giuliani S., Salvi S., Ferri M., Tuberosa R., Sanguineti M. Characterization of root-yield-1.06, a major constitutive QTL for root and agronomic traits in maize across water regimes. J. Exp. Bot. 2010, 61:3553-3562.
76. León A.J., Andrade F.H., Lee M. Genetic mapping of factors affecting quantitative variation for flowering in sunflower (Helianthus annuus L.). Crop Sci. 2000, 40:404-407.
77. León A.J., Andrade F.H., Lee M. Genetic analysis of seed-oil concentration across generations and environments in sunflower (Helianthus annuus L.). Crop Sci. 2003, 43:135-140.
78. León A.J., Lee M., Andrade F.H. Quantitative trait loci for growing degree days to flowering and photoperiod response in sunflower (Helianthus annuus L.). Theor. Appl. Genet. 2001, 102:497-503.
79. León A.J., Lee M., Rufener G.K., Berry S.T., Mowers R.P. Use of RFLP markers for genetic linkage of oil percentage in sunflower seed (Helianthus annuus). Crop Sci. 1995, 35:558-564.
80. Lorenz A.J., Chao S., Asoro F., et al. Genomic selection in plant breeding: knowledge and prospects. Adv. Agron. 2011, 110:77-123.
81. Maccaferri M., Sanguineti M., Demontis A., et al. Association mapping in durum wheat grown across a broad range of water regimes. J. Exp. Bot. 2011, 62:409-438.
82. Mackay T. The genetic architecture of quantitative traits. Annu. Rev. Genet. 2001, 35:303-339.
83. Marc J., Palmer J.H. Photoperiodic sensitivity of inflorescence initiation and development in sunflower. Field Crops Res. 1981, 4:155-164.
84. Martínez R., Izquierdo N., González Belo R., Aguirrezábal L., Andrade F., Reid R. Oil yield components and oil quality of high stearic high oleic sunflower genotypes as affected by intercepted solar radiation during grain filling. Crop Past. Sci. 2012, 63:330-337.
85. Mastrangelo A., Mazzucotelli E., Guerra D., De Vita P., Cattivelli L. Improvement of drought resistance in crops: from conventional breeding to genomic selection. Crop stress and its management: perspectives and strategies 2012, 225-259. Springer, Netherlands. B. Wenkateswarlu (Ed.).
86. Masuelli R.W., Camadro E.L. Crossability relationships among wild potato species with different ploidies and endosperm balance numbers (EBN). Euphytica 1997, 94:227-235.
87. Masuka B., Araus J., Das B., Sonder K., Cairns J. Phenotyping for abiotic stress tolerance in maize. J. Integ. Plant Biol. 2012, 54:238-249.
88. Messmer R., Fracheboud Y., Bänziger M., Vargas M., Stamp P., Ribaut J. Drought stress and tropical maize: QTL-by-environment interactions and stability of QTLs across environments for yield components and secondary traits. Theor. Appl. Genet. 2009, 119:913-930.
89. Miflin B. Crop improvement in the 21st century. J. Exp. Bot. 2000, 51:1-8.
90. Morgan J., Condon A. Water use, grain yield and osmoregulation in wheat. Aust. J. Plant Physiol. 1986, 13:523-532.
91. Nagore, M., Echarte, L., Della Maggiora, A., Andrade, F., 2010. Rendimiento, consumo y eficiencia de uso del agua del cultivo de maíz bajoes trés hídrico. Actas IX Congreso Nacional de Maíz, Simposio Nacional de Sorgo, 107-109. 17 al 19 de Noviembre de 2010, Rosario, Buenos Aires.
92. Panio G., Motzo R., Mastrangelo A., et al. Molecular mapping of stomatal conductance related traits in durum wheat (Triticumturgidum ssp. durum). Ann. Appl. Biol. 2013, 162:258-270.
93. Passioura J.B. Roots and drought resistance. Agric. Water Manag. 1983, 7:265-280.
94. Passioura J.B. The drought environment: physical, biological and agricultural perspectives. J. Exp. Bot. 2007, 58:113-117.
95. Passioura J.B. Phenotyping for drought tolerance in grain crops: when is it useful to breeders?. Funct. Plant Biol. 2012, 39:851-859.
96. Passioura J.B., Angus J. Improving productivity of crops in water-limited environments. Adv.Agron. 2010, 106:37-75.
97. Pereyra-Irujo G., Gasco E., Peirone L., Aguirrezábal L. GlyPh: a low-cost platform for phenotyping plant growth and water use. Funct. Plant Biol. 2012, 39:905-913.
98. Pereyra-Irujo G.A., Velázquez L., Lechner L., Aguirrezábal L. Genetic variability for leaf growth rate and duration under water deficit in sunflower: Analysis of responses at cell, organ, and plant level. J. Exp. Bot. 2008, 59:2221-2232.
99. Pontaroli A.C. How can we foster crop improvement?. J. Basic Appl. Genet. 2012, 23:4-6. Available online at http://www.scielo.org.ar/scielo.php?script=sci.
100. Pontaroli, A.C., Abbate, P.E., Lázaro, L., et al., 2012. Wheat spike fertility: genetics and breeding applications of a key ecophysiological yield component. Workshop 'Applications of physiology in crop management and breeding'; 6th International Crop Science Congress, Bento Gonçalves, Brazil, August 6-10, 2012.
101. Prioul J., Quarrie S., Causse M., de Vienne D. Dissecting complex physiological functions through the use of molecular quantitative genetics. J. Exp. Bot. 1997, 48:1151-1163.
102. Raimondi J.P., Sala R.G., Camadro E.L. Crossability relationships among the wild diploid potato species Solanum kurtzianum, S. chacoense and S. ruiz-lealii from Argentina. Euphytica 2003, 132:287-295.
103. Ramesh S., Nagadhara D., Reddy V.D., Rao K.V. Production of transgenic indica rice resistant to yellow stem borer and sapsucking insects, using super-binary vectors of Agrobacterium tumefaciens. Plant Sci. 2004, 166:1077-1085.
104. Rebetzke G.J., Condon A.G., Richards R.A., Farquhar G.D. Selection for reduced carbon isotope discrimination increases aerial biomass and grain yield of rainfed bread wheat. Crop Sci. 2002, 42:39-745.
105. Rebetzke G.J., Richards R.A. Genetic improvement of early vigour in wheat. Aust. J. Agric. Res. 1999, 50:291-302.
106. Reymond M., Muller B., Leónardi A., Charcosset A., Tardieu F. Combining quantitative trait loci analysis and an ecophysiological model to analyse the genetic variability of the responses of maize leaf growth to temperature and water deficit. Plant Physiol. 2003, 131:664-675.
107. Reynolds M., Foulkes M., Slafer G., et al. Rising yield potential in wheat. J. Exp. Bot. 2009, 60:1899-1918.
108. Richards R.A. Crop improvement for temperate Australia - Future opportunities. Field Crops Res. 1991, 26:141-169.
109. Richards R.A., Lukacs Z. Seedling vigour in wheat - Sources of variation for genetic and agronomic improvement. Aust. J. Agric. Res. 2002, 53:41-50.
110. Robles, M., Cerrudo, A., Di Matteo, J., Barbieri, P., Rizzalli, R., Andrade, F., 2011. Nitrogen use efficiency of maize hybrids released in different decades. ASA Congress, USA, 2011.
111. Sadras V.O., Lawson C. Genetic gain in yield and associated changes in phenotype, trait plasticity and competitive ability of South Australian wheat varieties released between 1958 and 2007. Crop Past. Sci. 2011, 62:533-549.
112. Sadras V.O., Rodriguez D. The limit to wheat water use efficiency in eastern Australia. II. Influence of rainfall patterns. Aust. J. Agric. Res. 2007, 58:657-669.
113. Sala R., Andrade F., Cerono J. Quantitative trait loci associated with grain moisture at harvest for line per se and testcross performance in maize: a meta-analysis. Euphytica 2012, 185:429-440.
114. Sala, R.G., 2007. Morpho-phenological traits associated with grain moisture at harvest in maize (Zea mays L.). Genetic linkage analysis. Ph.D. thesis, Universidad Nacional de Mar del Plata, Balcarce, Argentina.
115. Salas J., Youssar L., Martínez-Force E., Garcés R. The biochemical characterization of a high-stearic acid sunflower mutant reveals the coordinated regulation of stearoyl-acyl carrier protein desaturases. Plant Physiol. Biochem. 2008, 46:109-116.
116. Salvi S., Tuberosa R. To clone or not to clone plant QTLs: present and future challenges. Trends Plant Sci. 2005, 10:297-304.
117. Salvi S., Tuberosa R., Chiapparino E., et al. Toward positional cloning of Vgt1, a QTL controlling the transition from the vegetative to the reproductive phase in maize. Plant Mol. Biol. 2002, 48:601-613.
118. Schrader L. Selection for metabolic balance in maize. Exploitation of physiological and genetic variability to enhance crop productivity 1985, 79-89. American Society of Plant Physiologists, Rockville, MD. J. Harper, L. Schraderand, R. Howell (Eds.).
119. Schwinning S., Ehleringer J.R. Water-use trade-offs and optimal adaptations to pulse-driven arid ecosystems. J. Ecol. 2001, 89:464-480.
120. Sharma H.C., Sharma K., Crouch J. Genetic transformation of crops for insect resistance: Potential and limitations. Crit. Rev. Plant Sci. 2004, 23:47-72.
121. Simko I., McMurry S., Yang H.M., Manschot A., Davies P.J., Ewing E.E. Evidence from polygene mapping for a causal relationship between potato tuber dormancy and abscisic acid content. Plant Physiol. 1997, 115:1453-1459.
122. Sinclair T., Messina C., Beatty A., Samples M. Assessment across the United States of the benefits of altered soybean drought traits. Agron. J. 2010, 102:475-482.
123. Sinclair T.R., Purcell L.C. Is a physiological perspective relevant in a 'genocentric' age?. J. Exp. Bot. 2005, 56:2777-2782.
124. Sinclair T.R., Purcell L.C., Sneller C.H. Crop transformation and the challenge to increase yield potential. Trends Plant Sci. 2004, 9:70-75.
125. Small I. RNAi for revealing and engineering plant gene functions. Curr. Opin. Biotechnol. 2007, 18:148-153.
126. Snape J., Foulkes M., Simmonds J., et al. Dissecting gene × environmental effects on wheat yields via QTL and physiological analysis. Euphytica 2007, 154:401-408.
127. Struik P.C., Cassman K.G., Koorneef M. A dialogue on interdisciplinary collaboration to bridge the gap between plant genomics and crop science. Scale and complexity in plant systems research: gene-plant-crop relations 2007, 319-328. Springer. J.H.J. Spiertz, P.C. Struik, H.H. Van Laar (Eds.).
128. Sun, S.S.M., Liu, Q., Chan, R.M.L., 2006. Genetic engineering of crops for improved nutritional quality. In: Xu, Z., Li, J., Xue, Y., Yang, W., (eds), Biotechnology and sustainable agriculture 2006 and beyond. Proceedings of the 11th IAPTC&B Congress, Beijing, China, pp. 283-287.
129. Tanksley D.S., Nelson C.J. Advanced backcross QTL analysis: a method for the simultaneous discovery and transfer of valuable QTL from unadapted germplasm into elite breeding lines. Theor. Appl. Genet. 1996, 92:191-203.
130. Tardieu F. Any trait or trait-related allele can confer drought tolerance: just design the right drought scenario. J. Exp. Bot. 2012, 63:25-31.
131. Tuberosa R., Salvi S. QTL for agronomic traits in maize production. Handbook of maize: its biology 2009, 501-541. Springer. J.L. Bennetzen, S.C. Hake (Eds.).
132. Tuberosa R., Salvi S., Giuliani S., et al. Genomics of root architecture and functions in maize. Root genomics 2011, 179-204. Springer. A. Costa de Oliveira, R. Varshney (Eds.).
133. Tuberosa R., Salvi S., Sanguineti M.C., Landi P., Maccaferri M., Conti S. Mapping QTLs regulating morpho-physiological traits and yield: case studies, shortcomings and perspectives in drought-stressed maize. Ann. Bot. 2002, 89:941-963.
134. Turner A., Beales J., Faure S., Dunford R., Laurie D. The pseudo-response regulator Ppd-H1 provides adaptation to photoperiod in barley. Science 2005, 310:1031-1034.
135. Uauy C., Distelfeld A., Fahima T., Blechl A., Dubcovsky J. A NAC gene regulating senescence improves grain protein, zinc and iron content in wheat. Science 2006, 314:1298-1301.
136. Uhart S., Andrade F. Source-sink relationship in maize grown in a cool temperate area. Agronomie 1991, 11:863-875.
137. Valverde F., Mouradov A., Soppe W., Ravenscroft D., Samach A., Coupland G. Photoreceptor regulation of constans protein in photoperiodic flowering. Science 2004, 303:1003-1006.
138. Voytas D. Plant genome engineering with sequence-specific nucleases. Annu. Rev. Plant Biol. 2013, 64:327-350.
139. Welcker C., Boussuge B., Bencivenni C., Ribaut J., Tardieu F. 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. J. Exp. Bot. 2007, 58:339-349.
140. Xu Y., Crouch J.H. Marker-assisted selection in plant breeding: From publications to practice. Crop Sci. 2008, 48:391-407.
141. Xu Y., Xie C., Wan J., He Z., Prasanna B. Marker-assisted selection in cereals: platforms, strategies and examples. Cereal genomics II 2013, 375-411. Springer. P. Gupta, R. Varshney (Eds.).
142. Yang S., Vanderbeld B., Wan J., Huang Y. Narrowing down the targets: towards successful genetic engineering of drought-tolerant crops. Mol. Plant 2010, 3:469-490.
143. Young N.D. A cautiously optimistic vision for marker-assisted breeding. Mol. Breed. 1999, 3:505-510.
144. Zaman-Allah M., Jenkinson D., Vadez V. A conservative pattern of water use, rather than deep or profuse rooting, is critical for the terminal drought tolerance of chickpea. J. Exp. Bot. 2011, 62:4239-4252.