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浙江大学学报（农业与生命科学版）
Journal of Zhejiang University (Agriculture and Life Sciences)  2017, Vol. 43 Issue (2): 146-152    DOI: 10.3785/j.issn.1008-9209.2017.02.236
Quantitative genetics & bioinformatics     
 Association analysis revealed importance of dominance effects on days to silk of maize nested association mapping (NAM) population
MONIR Md. Mamun, ZHU Jun*
&(Institute of Bioinformatics, Zhejiang University, Hangzhou 310058, China)
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Abstract   Full model and multi-loci additive model were used to analyze the days to silk (DS, female flowering) of maize nested association mapping (NAM) population. Analysis with the full model revealed that small effects of additive, dominance, epistasis, and their environmental interactions of many loci controlled the DS of maize NAM population. Dominance related effects had large impacts on the trait. Estimated total heritability was 79.86%, whereas 50.52% was due to dominance related effects. Environmental specific genetic effects also revealed as imperative for DS, explained 27.31% phenotypic variations. The highly significant (-log10 PEW>5) quantitative trait SNPs (QTSs) identified were 50 for full model, but 47 for additive model with low heritability (31.65%). Utilizing the association analysis results of DS, genotypes and total genetic effects of superior lines, superior hybrids were predicted that could be useful for future breeding program.

Published: 25 March 2017
CLC:  Q 348  
Fund:   National Natural Science Foundation of China (No. 31371250)
Corresponding Authors: ZHU Jun (http://orcid.org/0000-0002-8509-8304), E-mail: jzhu@zju.edu.cn   
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MONIR Md. Mamun
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Cite this article:

MONIR Md. Mamun, ZHU Jun.  Association analysis revealed importance of dominance effects on days to silk of maize nested association mapping (NAM) population. Journal of Zhejiang University (Agriculture and Life Sciences), 2017, 43(2): 146-152.

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http://www.zjujournals.com/agr/10.3785/j.issn.1008-9209.2017.02.236     OR     http://www.zjujournals.com/agr/Y2017/V43/I2/146


关联分析揭示显性效应对玉米巢式定位群体抽穗期的重要性（英文）

采用关联定位全模型和多位点加性模型，分析了玉米巢式关联定位群体抽丝期的遗传效应。全模型关联分 析揭示，玉米抽丝期受微效多基因的加性、显性、上位性及其环境互作控制，其中显性效应最为重要。在估算的总 遗传率（79.86%）中，与显性效应相关的遗传率高达50.52%，其次是环境互作效应的遗传率（27.31%）。检测到的极 显著（-log10 PEW>5）数量性状单核苷酸多态性位点数为全模型50个和加性模型47个（遗传率=31.65%）。基于关联 分析玉米抽丝期的结果，预测了最优自交系和最优杂交组合的基因型组配方式及相应的遗传效应值，可用于指导 玉米群体优异位点的精准分子选择。
 
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