Predicting rice hybrid performance using univariate and multivariate GBLUP models based on North Carolina mating design II

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成果类型：

期刊论文

作者：

Wang, X.;Li, L.;Yang, Z.;Zheng, X.;Yu, S.;...

通讯作者：

Xu, C.;Hu, Z.

作者机构：

[Yang, Z.; Xu, C.; Wang, X.] Yangzhou Univ, Jiangsu Prov Key Lab Crop Genet & Physiol, Coinnovat Ctr Modern Prod Technol Grain Crops, Key Lab Plant Funct Genom,Minist Educ, Yangzhou 225009, Jiangsu, Peoples R China.

[Li, L.] Hunan Agr Univ, Coll Plant Protect, Hunan Prov Key Lab Biol & Control Plant Dis & Ins, Changsha, Hunan, Peoples R China.

[Hu, Z.; Zheng, X.] Wuhan Univ, Coll Life Sci, State Key Lab Hybrid Rice, Wuhan 430072, Peoples R China.

[Yu, S.] Huazhong Agr Univ, Coll Plant Sci & Technol, Wuhan 430070, Peoples R China.

通讯机构：

[Xu, C.] Y

[Hu, Z.] W

Yangzhou Univ, Jiangsu Prov Key Lab Crop Genet & Physiol, Coinnovat Ctr Modern Prod Technol Grain Crops, Key Lab Plant Funct Genom,Minist Educ, Yangzhou 225009, Jiangsu, Peoples R China.

Wuhan Univ, Coll Life Sci, State Key Lab Hybrid Rice, Wuhan 430072, Peoples R China.

语种：

英文

期刊：

Heredity

ISSN：

0018-067X

年：

2017

卷：

118

期：

页码：

302-310

DOI：

10.1038/hdy.2016.87

基金类别：

National Key Technology Research and Development Program of MOST [2016YFD0100303]; Priority Academic Program Development of Jiangsu Higher Education Institutions; National Natural Science FoundationsNational Natural Science Foundation of China (NSFC) [91535103, 31391632, 31200943]; National High-tech R&D Program (863 Program)National High Technology Research and Development Program of China [2014AA10A601-5]; Natural Science Foundations of Jiangsu ProvinceNatural Science Foundation of Jiangsu Province [BK2012261]; Natural Science Foundation of the Jiangsu Higher Education Institutions [14KJA210005]; Postgraduate Research and Innovation Project in Jiangsu Province [KYLX151368]; Innovative Research Team of Universities in Jiangsu Province

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本校为其他机构

院系归属：

植物保护学院

摘要：

Genomic selection (GS) is more efficient than traditional phenotype-based methods in hybrid breeding. The present study investigated the predictive ability of genomic best linear unbiased prediction models for rice hybrids based on the North Carolina mating design II, in which a total of 115 inbred rice lines were crossed with 5 male sterile lines. Using 8 traits of the 575 (115 × 5) hybrids from two environments, both univariate (UV) and multivariate (MV) prediction analyses, including additive and dominance effects, were performed. Using UV ...

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Predicting rice hybrid performance using univariate and multivariate GBLUP models based on North Carolina mating design II

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