Performance prediction of F-1 hybrids between recombinant inbred lines derived from two elite maize inbred lines

文献类型： 外文期刊

第一作者： Guo, Tingting

作者： Guo, Tingting;Li, Jiansheng;Guo, Tingting;Li, Huihui;Zhang, Luyan;Wang, Jiankang;Guo, Tingting;Li, Huihui;Zhang, Luyan;Wang, Jiankang;Yan, Jianbing;Tang, Jihua;Zhang, Zhiwu

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期刊名称：THEORETICAL AND APPLIED GENETICS （ 影响因子：5.699； 五年影响因子：5.565 ）

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收录情况： SCI

摘要： Selection of recombinant inbred lines (RILs) from elite hybrids is a key method in maize breeding especially in developing countries. The RILs are normally derived by repeated self-pollination and selection. In this study, we first investigated the accuracy of different models in predicting the performance of F-1 hybrids between RILs derived from two elite maize inbred lines Zong3 and 87-1, and then compared these models through simulation using a wider range of genetic models. Results indicated that appropriate prediction models depended on genetic architecture, e.g., combined model using breeding value and genome-wide prediction (BV+GWP) has the highest prediction accuracy for high V (D)/V (A) ratio (> 0.5) traits. Theoretical studies demonstrated that different components of genetic variance were captured by different prediction models, which in turn explained the accuracy of these models in predicting the F-1 hybrid performance. Based on genome-wide prediction model (GWP), 114 untested F-1 hybrids possibly having higher grain yield than the original F-1 hybrid Yuyu22 (the single cross between Zong3 and 87-1) have been identified and recommended for further field test.

分类号： R394

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