Use of introgression lines to determine the ecophysiological basis for changes in water use efficiency and yield in California processing tomatoes

Functional Plant Biology

Volumn 41, Issue 2, 2014, Pages 119-132

  Barrios Masias, Felipe H ^a   Chetelat, Roger T ^a   Grulke, Nancy E ^b   Jackson, Louise E ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b PACIFIC NORTHWEST RESEARCH STATION   (United States)

Author keywords

chloroplasts; determinate growth; leaf veins; Solanum lycopersicum; Solanum pennellii

Indexed keywords

ABOVEGROUND BIOMASS; CHLOROPLAST; CHROMOSOME; FRUIT; FRUIT SET; GAS EXCHANGE; GENE; INTROGRESSION; LEAF AREA; STOMATAL CONDUCTANCE; WATER USE EFFICIENCY; YIELD;

CALIFORNIA; UNITED STATES;

EID: 84891804508     PISSN: 14454408     EISSN: None     Source Type: Journal    
DOI: 10.1071/FP13097     Document Type: Article

References (44)

1. Bolaños JA, Hsiao TC (1991) Photosynthetic and respiratory characterization of field-grown tomato. Photosynthesis Research 28, 21-32. doi:10.1007/BF00027173
2. California Department of Water Resources (2012) 'California irrigation management information system.' (Department of Water Resources, Office of Water Use Efficiency: Sacramento). Available at: http://www.cimis.water.ca.gov [Verified 5 September 2013]
3. Campbell DE, Lyman M, Corse J, Hautala E (1986) On the relationships of net CO2 assimilation and leaf expansion to vegetative growth in Lycospersicum esculentum, var Jubilee. Plant Physiology 80, 711-715. doi:10.1104/pp.80.3.711
4. Carmel-Goren L, Liu YS, Lifschitz E, Zamir D (2003) The self-pruning gene family in tomato. Plant Molecular Biology 52, 1215-1222. doi:10.1023/B:PLAN. 0000004333.96451.11 (Pubitemid 37514741)
5. Comstock JP, McCouchSR, Martin BC, TauerCG, Vision TJ,XuYB, Pausch RC (2005) The effects of resource availability and environmental conditions on genetic rankings for carbon isotope discrimination during growth in tomato and rice. Functional Plant Biology 32, 1089-1105. doi:10.1071/FP05117 (Pubitemid 41752194)
6. Condon AG, Richards RA, Rebetzke GJ, Farquhar GD (2004) Breeding for high water-use efficiency. Journal of Experimental Botany 55, 2447-2460. doi:10.1093/jxb/erh277 (Pubitemid 39484217)
7. Emerson R (1929) The relation between maximum rate of photosynthesis and concentration of chlorophyll. The Journal of General Physiology 12, 609-622. doi:10.1085/jgp.12.5.609
8. Eshed Y, Zamir D (1994) A genomic library of Lycopersicon pennellii in Lycopersicon esculentum-a tool for fine mapping of genes. Euphytica 79, 175-179. doi:10.1007/BF00022516
9. Eshed Y, Zamir D (1995) An introgression line population of Lycopersicon pennellii in the cultivated tomato enables the identification and fine mapping of yield-associated QTL. Genetics 141, 1147-1162.
10. Evans LT, FischerRA(1999) Yield potential: its definition, measurement, and significance. Crop Science 39, 1544-1551. doi:10.2135/cropsci1999. 3961544x (Pubitemid 30061408)
11. Evans JR, Poorter H (2001) Photosynthetic acclimation of plants to growth irradiance: the relative importance of specific leaf area and nitrogen partitioning in maximizing carbon gain. Plant, Cell & Environment 24, 755-767. doi:10.1046/j.1365-3040.2001.00724.x (Pubitemid 32748085)
12. Farquhar GD, Richards RA (1984) Isotopic composition of plant carbon correlates with water-use efficiency of wheat genotypes. Australian Journal of Plant Physiology 11, 539-552. doi:10.1071/PP9840539 (Pubitemid 16276820)
13. Farquhar GD, O'Leary MH, Berry JA (1982) On the relationship between carbon isotope discrimination and the intercellular carbon dioxide concentration in leaves. Australian Journal of Plant Physiology 9, 121-137. doi:10.1071/PP9820121 (Pubitemid 13280643)
14. Feng Y-L, Fu G-L, Zheng Y-L (2008) Specific leaf area relates to the differences in leaf construction cost, photosynthesis, nitrogen allocation, and use efficiencies between invasive and noninvasive alien congeners. Planta 228, 383-390. doi:10.1007/s00425-008-0732-2
15. Fischer RA (2007) Understanding the physiological basis of yield potential in wheat. The Journal of Agricultural Science 145, 99-113. doi:10.1017/S0021859607006843 (Pubitemid 46340585)
16. Fischer RA, Rees D, Sayre KD, Lu ZM, Condon AG, Saavedra AL (1998) Wheat yield progress associated with higher stomatal conductance and photosynthetic rate, and cooler canopies. Crop Science 38, 1467-1475. doi:10.2135/cropsci1998. 0011183X003800060011x (Pubitemid 29019936)
17. Fleischer WE (1935) The relation between chlorophyll content and rate of photosynthesis. The Journal of General Physiology 18, 573-597. doi:10.1085/jgp.18.4.573
18. Gailing O, Langenfeld-Heyser R, Polle A, Finkeldey R (2008) Quantitative trait loci affecting stomatal density and growth in a Quercus robur progeny: implications for the adaptation to changing environments. Global Change Biology 14, 1934-1946. doi:10.1111/j.1365-2486.2008. 01621.x (Pubitemid 352003859)
19. Grandillo S, Zamir D, Tanksley SD (1999) Genetic improvement of processing tomatoes: a 20 years perspective. Euphytica 110, 85-97. doi:10.1023/A:1003760015485 (Pubitemid 29498833)
20. Gur A, Zamir D (2004) Unused natural variation can lift yield barriers in plant breeding. PLoS Biology 2, e245. doi:10.1371/journal.pbio.0020245 (Pubitemid 39532922)
21. Gur A, Osorio S, Fridman E, Fernie AR, Zamir D (2010) hi2-1, a QTL which improves harvest index, earliness and alters metabolite accumulation of processing tomatoes. Theoretical and Applied Genetics 121, 1587-1599. doi:10.1007/s00122-010-1412-8
22. Hanan JJ (1998) 'Greenhouses: advanced technology for protected horticulture'. (CRC Press LLC, Boca Raton)
23. Hanson BR, May DM (2006) Crop evapotranspiration of processing tomato in the San Joaquin Valley of California, USA. Irrigation Science 24, 211-221. doi:10.1007/s00271-005-0020-x
24. Jones CM, Rick CM, Adams D, Jernstedt J, Chetelat RT (2007) Genealogy and fine mapping of Obscuravenosa, a gene affecting the distribution of chloroplasts in leaf veins and evidence of selection during breeding of tomatoes (Lycopersicon esculentum; Solanaceae). American Journal of Botany 94, 935-947. doi:10.3732/ajb.94.6.935 (Pubitemid 47013700)
25. LeCain DR, Morgan JA, Zerbi G (1989) Leaf anatomy and gasexchange in nearly isogenic semidwarf and tall winter-wheat. Crop Science 29, 1246-1251. doi:10.2135/cropsci1989.0011183X0029000 50031x
26. Lichtenthaler HK (1987) Chlorophylls and carotenoids: pigments of photosynthetic biomembranes. Methods in Enzymology 148, 350-382. doi:10.1016/0076-6879(87)48036-1
27. Lu Z, Percy RG, Qualset CO, Zeiger E (1998) Stomatal conductance predicts yields in irrigated Pima cotton and bread wheat grown at high temperatures. Journal of Experimental Botany 49, 453-460. (Pubitemid 28153664)
28. Martin B, Tauer CG, Lin RK (1999) Carbon isotope discrimination as a tool to improve water-use efficiency in tomato. Crop Science 39, 1775-1783. doi:10.2135/cropsci1999.3961775x (Pubitemid 30061441)
29. McCune B, Grace JB (2002) 'Analysis of ecological communities.' (MjM Software Design, Gleneden Beach)
30. Morgan JA, LeCain DR, Wells R (1990) Semidwarfing genes concentrate photosynthetic machinery and affect leaf gas-exchange of wheat. Crop Science 30, 602-608.
31. Murchie EH, PintoM,Horton P (2009) Agriculture and the newchallenges for photosynthesis research. New Phytologist 181, 532-552. doi:10.1111/j.1469-8137. 2008.02705.x
32. Ortiz-Monasterio JI, Sayre KD, Rajaram S, McMahon M (1997) Genetic progress in wheat yield and nitrogen use efficiency under four nitrogen rates. Crop Science 37, 898-904. doi:10.2135/cropsci1997.0011183X 003700030033x (Pubitemid 27253303)
33. Passioura JB (2002) Environmental biology and crop improvement. Functional Plant Biology 29, 537-546. doi:10.1071/FP02020 (Pubitemid 34850298)
34. Poorter H, Evans JR (1998) Photosynthetic nitrogen-use efficiency of species that differ inherently in specific leaf area. Oecologia 116, 26-37. doi:10.1007/s004420050560 (Pubitemid 28398087)
35. Porter DR, MacGillivrayJH(1937) 'The production of tomatoes in California. California Agricultural Extension Service Circular 104.' (College of Agriculture, University of California: Berkeley)
36. Sinclair TR, Purcell LC, Sneller CH (2004) Crop transformation and the challenge to increase yield potential. Trends in Plant Science 9, 70-75. doi:10.1016/j.tplants.2003.12.008 (Pubitemid 38215135)
37. Stevens MA, Rick CM (1986) Genetics and breeding. In 'The tomato crop: a scientific basis for improvement'. (Eds JG Atherton, J Rudich) pp. 35-105. (Chapman and Hall: New York)
38. Tanaka Y, Shiraiwa T, Nakajima A, Sato J, Nakazaki T (2008) Leaf gas exchange activity in soybean as related to leaf traits and stem growth habit. Crop Science 48, 1925-1932. doi:10.2135/cropsci2007.12.0707
39. Terashima I, Araya T, Miyazawa S, Sone K, Yano S (2005) Construction and maintenance of the optimal photosynthetic systems of the leaf, herbaceous plant and tree: an eco-developmental treatise. Annals of Botany 95, 507-519. doi:10.1093/aob/mci049 (Pubitemid 41238690)
40. United States Department of Agriculture (USDA) 2009 'U.S. processing tomatoes: area, yield, production, and value, 1960-2009.' (USDA, Economics, Statistics, and Market Information System: Ithaca, NY) Available at: http://usda.mannlib.cornell.edu/MannUsda/[Verified 5
41. September 2013]. University of California Davis (UC Davis) (2012). 'USDA-NRCS soil survey geographic database (SSURGO) database.' (California Soil Resource Lab: Davis). Available at: http://casoilresource.lawr.ucdavis.edu/gmap/ [Verified 5 September 2013].
42. Watanabe N, Evans JR, Chow WS (1994) Changes in the photosynthetic properties of Australian wheat cultivars over the last century. Australian Journal of Plant Physiology 21, 169-183. doi:10.1071/PP9940169 (Pubitemid 2060913)
43. WentworthM, Murchie EH, Gray JE, Villegas D, Pastenes C, PintoM, Horton P (2006) Differential adaptation of two varieties of common bean to abiotic stress: II. Acclimation of photosynthesis. Journal of Experimental Botany 57, 699-709. doi:10.1093/jxb/erj061
44. Xu X, Martin B, Comstock JP, Vision TJ, Tauer CG, Zhao B, Pausch RC, Knapp S (2008) Fine mapping a QTL for carbon isotope composition in tomato. Theoretical and Applied Genetics 117, 221-233. doi:10.1007/s00122-008-0767-6