Improving Selection Efficiency of Crop Breeding With Genomic Prediction Aided Sparse Phenotyping

文献类型： 外文期刊

第一作者： He, Sang

作者： He, Sang;Hayden, Matthew J.;Daetwyler, Hans D.;He, Sang;Jiang, Yong;Thistlethwaite, Rebecca;Trethowan, Richard;Hayden, Matthew J.;Daetwyler, Hans D.;Trethowan, Richard

作者机构：

关键词： sparse phenotyping; genomic prediction; multi-environment trials; response to selection; correlations between environments

期刊名称：FRONTIERS IN PLANT SCIENCE （ 影响因子：5.754； 五年影响因子：6.612 ）

ISSN： 1664-462X

年卷期： 2021 年 12 卷

页码：

收录情况： SCI

摘要： Increasing the number of environments for phenotyping of crop lines in earlier stages of breeding programs can improve selection accuracy. However, this is often not feasible due to cost. In our study, we investigated a sparse phenotyping method that does not test all entries in all environments, but instead capitalizes on genomic prediction to predict missing phenotypes in additional environments without extra phenotyping expenditure. The breeders' main interest - response to selection - was directly simulated to evaluate the effectiveness of the sparse genomic phenotyping method in a wheat and a rice data set. Whether sparse phenotyping resulted in more selection response depended on the correlations of phenotypes between environments. The sparse phenotyping method consistently showed statistically significant higher responses to selection, compared to complete phenotyping, when the majority of completely phenotyped environments were negatively (wheat) or lowly positively (rice) correlated and any extension environment was highly positively correlated with any of the completely phenotyped environments. When all environments were positively correlated (wheat) or any highly positively correlated environments existed (wheat and rice), sparse phenotyping did not improved response. Our results indicate that genomics-based sparse phenotyping can improve selection response in the middle stages of crop breeding programs.

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