Journal article
Performance prediction of F1 hybrids between recombinant inbred lines derived from two elite maize inbred lines
Theoretical and applied genetics, Vol.126(1), pp.189-201
01/2013
Handle:
https://hdl.handle.net/2376/105970
PMID: 22972201
Abstract
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.
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Details
- Title
- Performance prediction of F1 hybrids between recombinant inbred lines derived from two elite maize inbred lines
- Creators
- Tingting Guo - National Maize Improvement Center, China Agricultural University, Beijing 100193, ChinaHuihui LiJianbing YanJihua TangJiansheng LiZhiwu ZhangLuyan ZhangJiankang Wang
- Publication Details
- Theoretical and applied genetics, Vol.126(1), pp.189-201
- Academic Unit
- Crop and Soil Sciences, Department of
- Publisher
- Germany
- Identifiers
- 99900546828401842
- Language
- English
- Resource Type
- Journal article