selection strategy to accomodate genotype-by-environment interaction for grain yield of wheat: managed-environment for selection among genotypes

Selection for grain yield among wheat lines is complicated by large line-by-environment (L X E) interactions in Queensland, Australia. Early generation selection is based on an evaluation of many lines in a few environments. The small sample of environments, together with the large L X E interaction...

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Published inTheoretical and applied genetics Vol. 90; no. 3/4
Main Authors Cooper, M, Woodruff, D.R, Eisemann, R.L, Brennan, P.S, DeLacy, I.H
Format Journal Article
LanguageEnglish
Published 1995
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Abstract Selection for grain yield among wheat lines is complicated by large line-by-environment (L X E) interactions in Queensland, Australia. Early generation selection is based on an evaluation of many lines in a few environments. The small sample of environments, together with the large L X E interaction, reduces the realised response to selection. Definition of a series of managed-environments which provides discrimination among lines, which is relevant to the target production-environments, and can be repeated over years, would facilitate early generation selection. Two series of managed-environments were conducted. Eighteen managed-environments were generated in Series-1 by manipulating nitrogen and water availability, together with the sowing date, at three locations. Nine managed-environments based on those from Series-1 were generated in Series-2. Line discrimination for grain yield in the managed-environments was compared to that in a series of 16 random production-environments. The genetic correlation between line discrimination in the managed-environments and that in the production-environments was influenced by the number and combination of managed-environments. Two managed-environment selection regimes, which gave a high genetic correlation in both Series-1 and 2, were identified. The first used three managed-environments, a high input (low water and nitrogen stress) environment with early sowing at three locations. The second used six managed-environments, a combination of a high input (low water an nitrogen stress) and medium input (water and nitrogen stress) with early sowing at three locations. The opportunities for using managed-environments to provide more reliable selection among lines in the Queensland wheat breeding programme and its potential limitations are discussed.
AbstractList Selection for grain yield among wheat lines is complicated by large line-by-environment (L X E) interactions in Queensland, Australia. Early generation selection is based on an evaluation of many lines in a few environments. The small sample of environments, together with the large L X E interaction, reduces the realised response to selection. Definition of a series of managed-environments which provides discrimination among lines, which is relevant to the target production-environments, and can be repeated over years, would facilitate early generation selection. Two series of managed-environments were conducted. Eighteen managed-environments were generated in Series-1 by manipulating nitrogen and water availability, together with the sowing date, at three locations. Nine managed-environments based on those from Series-1 were generated in Series-2. Line discrimination for grain yield in the managed-environments was compared to that in a series of 16 random production-environments. The genetic correlation between line discrimination in the managed-environments and that in the production-environments was influenced by the number and combination of managed-environments. Two managed-environment selection regimes, which gave a high genetic correlation in both Series-1 and 2, were identified. The first used three managed-environments, a high input (low water and nitrogen stress) environment with early sowing at three locations. The second used six managed-environments, a combination of a high input (low water an nitrogen stress) and medium input (water and nitrogen stress) with early sowing at three locations. The opportunities for using managed-environments to provide more reliable selection among lines in the Queensland wheat breeding programme and its potential limitations are discussed.
Author Woodruff, D.R
Eisemann, R.L
DeLacy, I.H
Brennan, P.S
Cooper, M
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Snippet Selection for grain yield among wheat lines is complicated by large line-by-environment (L X E) interactions in Queensland, Australia. Early generation...
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SubjectTerms crop yield
environmental factors
genotype
genotype-environment interaction
grains
indirect selection
nitrogen
nutrient availability
plant breeding
selection criteria
selection methods
Triticum aestivum
water availability
Title selection strategy to accomodate genotype-by-environment interaction for grain yield of wheat: managed-environment for selection among genotypes
Volume 90
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