QTL mapping for combining ability in different population-based NCII designs: a simulation study

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成果类型：

期刊论文

作者：

Li, Lanzhi;Sun, Congwei;Chen, Yuan;Dai, Zhijun;Qu, Zhen;...

通讯作者：

Xu, Chenwu

作者机构：

[Li, Lanzhi; Chen, Yuan; Dai, Zhijun; Sun, Congwei] Hunan Agr Univ, Coll Biosafety Sci & Technol, Hunan Prov Key Lab Biol & Control Plant Dis & Ins, Changsha 410128, Hunan, Peoples R China.

[Hu, Zhongli; Qu, Zhen; Zheng, Xingfei] Wuhan Univ, Coll Life Sci, State Key Lab Hybrid Rice, Wuhan 430072, Peoples R China.

[Mou, Tongmin; Yu, Sibin] Huazhong Agr Univ, Natl Key Lab Crop Genet Improvement, Wuhan 430070, Peoples R China.

[Xu, Chenwu] Yangzhou Univ, Coll Agr Sci, Div Biostat & Quantitat Genet, Yangzhou 225009, Peoples R China.

通讯机构：

[Xu, Chenwu] Y

Yangzhou Univ, Coll Agr Sci, Div Biostat & Quantitat Genet, Yangzhou 225009, Peoples R China.

语种：

英文

关键词：

combining ability;NCII design;QTL analysis;digenic;multiple alleles

期刊：

JOURNAL OF GENETICS

ISSN：

0022-1333

年：

2013

卷：

期：

页码：

529-543

DOI：

10.1007/s12041-013-0311-6

基金类别：

973 programNational Basic Research Program of China [2011CB100102]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [31000666]; China Postdoctoral Science foundationChina Postdoctoral Science Foundation [2012M511722]; Hunan Province Postdoctoral Science foundation [2012RS4039]

机构署名：

本校为第一机构

院系归属：

植物保护学院

摘要：

The NCII design (North Carolina mating design II) has been widely applied in studies of combining ability and heterosis. The objective of our research was to estimate how different base populations, sample sizes, testcross numbers and heritability influence QTL analyses of combining ability and heterosis. A series of Monte Carlo simulation experiments with QTL mapping were then conducted for the base population performance, testcross population phenotypic values and the general combining ability (GCA), specific combining ability (SCA) and Hmp (midparental heterosis) datasets. The results indic...

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QTL mapping for combining ability in different population-based NCII designs: a simulation study

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