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Selection for reduced carbon isotope discrimination increases aerial biomass and grain yield of rainfed bread wheat

Published on Jan 1, 2002in Crop Science1.64
· DOI :10.2135/cropsci2002.7390
Greg J. Rebetzke31
Estimated H-index: 31
(CSIRO: Commonwealth Scientific and Industrial Research Organisation),
Anthony G. Condon34
Estimated H-index: 34
(CSIRO: Commonwealth Scientific and Industrial Research Organisation)
+ 1 AuthorsGraham D. Farquhar102
Estimated H-index: 102
(ANU: Australian National University)
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Abstract
Genetic gain is characteristically slow when selecting directly for increased grain yield under water-limited conditions. Genetic increases in grain yield may be achieved through increases in aerial biomass following selection for greater transpiration efficiency (TE as aerial biomass/water transpired). Strong negative correlations between TE and carbon isotope discrimination (A) in wheat (Triticum aestivum L.) suggest that selection of progeny with low Δ may increase TE and aerial biomass under water-limited conditions. This study investigated how early generation, divergent selection for A affected aerial biomass and grain yield among 30 low- and 30 high-Δ, 'Hartog'-like, BC 2 F 4:6 progeny and the recurrent, high-A parent Hartog. Lines were evaluated in nine environments varying for seasonal rainfall (235-437 mm) and hence grain yield (1.3-6.2 Mg/ha). Selection for low A in early generation progeny was associated with significantly (P < 0.01) smaller Δ, higher grain yield (+5.8%), aerial biomass (+2.7%), harvest index (+3.3%), and kernel size (+4.8%) in tested lines. Kernel number was the same for low- and high-A selected groups. Grain yield advantage of the low Δ group increased with reductions in environment mean yield (r = -0.89, P < 0.01) and total seasonal rainfall (r = -0.85, P < 0.01) indicating the benefit of low Δ, and therefore high TE for genetic improvement of grain yield in lower rainfall environments. Narrow-sense heritability on a singleplot basis was much greater for A (h 2 = 0.63 ± 0.10) than for either aerial biomass (0.06 ± 0.05) or grain yield (0.14 ± 0.04). Strong genetic correlations between A and both aerial biomass (r g = -0.61 ± 0.14) and grain yield (-0.58 ± 0.12) suggest Δ could be used for indirect selection of these traits in early generations. Selection of low Δ (high TE) families for the advanced stages of multiple-environment testing should increase the probability of recovering higher-yielding wheat families for water-limited environments.
  • References (30)
  • Citations (322)
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References30
Newest
#1R. A. Richards (CSIRO: Commonwealth Scientific and Industrial Research Organisation)H-Index: 52
#2Greg J. Rebetzke (CSIRO: Commonwealth Scientific and Industrial Research Organisation)H-Index: 31
Last.A. F. van Herwaarden (CSIRO: Commonwealth Scientific and Industrial Research Organisation)H-Index: 14
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#1T. A. Malik (H.I., S.I.: University of Agriculture, Faisalabad)H-Index: 5
#2D. Wright (Bangor University)H-Index: 2
Last.D. S. Virk (Bangor University)H-Index: 1
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#1M. van Ginkel (CIMMYT: International Maize and Wheat Improvement Center)H-Index: 29
#2D. S. Calhoun (CIMMYT: International Maize and Wheat Improvement Center)H-Index: 2
Last.S. Rajaram (CIMMYT: International Maize and Wheat Improvement Center)H-Index: 38
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#1M. Akhlasur Rahman (Bangladesh Rice Research Institute)H-Index: 3
#2Michael J. Thomson (A&M: Texas A&M University)H-Index: 4
Last.Abdelbagi M. Ismail (IRRI: International Rice Research Institute)H-Index: 45
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#1Xiaoxi Li (CSIRO: Commonwealth Scientific and Industrial Research Organisation)
#2Cathrine Heinz Ingvordsen (CSIRO: Commonwealth Scientific and Industrial Research Organisation)H-Index: 1
Last.R. A. Richards (CSIRO: Commonwealth Scientific and Industrial Research Organisation)H-Index: 52
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#1Fadia Chairi (University of Barcelona)H-Index: 3
#2Rut Sanchez-Bragado (University of Lleida)
Last.J. L. Araus (University of Barcelona)H-Index: 49
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#1Zhenyu Yang (TUM: Technische Universität München)H-Index: 2
#2Jinghui Liu (TUM: Technische Universität München)H-Index: 1
Last.Hans Schnyder (TUM: Technische Universität München)H-Index: 36
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#1Greg J. Rebetzke (CSIRO: Commonwealth Scientific and Industrial Research Organisation)H-Index: 31
#2Jose Jimenez-Berni (CSIRO: Commonwealth Scientific and Industrial Research Organisation)H-Index: 8
Last.D.J. Smith (CSIRO: Commonwealth Scientific and Industrial Research Organisation)
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#1Robert J. Twohey (UIUC: University of Illinois at Urbana–Champaign)H-Index: 1
#2Lucas M. Roberts (UIUC: University of Illinois at Urbana–Champaign)H-Index: 1
Last.Anthony Joseph Studer (UIUC: University of Illinois at Urbana–Champaign)H-Index: 9
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