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 in | Theoretical and applied genetics Vol. 90; no. 3/4 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
1995
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Subjects | |
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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. |
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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 |
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