关联分析在水稻产量性状遗传研究中的应用

doi:10.16178/j.issn.0528-9017.20210709

摘要/Abstract

摘要：

水稻地方品种具有丰富的遗传多样性、变异性和大量有价值的基因,长期以来一直被认为是多种有价值基因的来源。对不同水稻种质资源重测序,有助于挖掘有益的等位基因或单倍型变异,进而利用其遗传多样性。关联分析作为挖掘和分析复杂数量性状位点的有效方法,能够快速鉴定自然群体中的有益等位变异,定位与目标性状高度关联的候选基因,在水稻产量性状遗传研究中发挥了巨大作用。本文简要描述了关联分析的基本原理,综述了关联分析在水稻产量性状遗传研究中的进展,并讨论关联分析在未来水稻育种工作中的应用。

关键词: 关联分析, 连锁不平衡, 水稻, 产量性状

中图分类号:

S511

卢钰霞, 张再君, 田志宏. 关联分析在水稻产量性状遗传研究中的应用[J]. 浙江农业科学, 2021, 62(7): 1293-1298.

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关联分析在水稻产量性状遗传研究中的应用

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