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利用分子标记预测杂交水稻的产量及产量构成因素

[Prediction of yield and yield components in hybrid rice by using molecular markers].

作者信息

He Guang-Hua, Hou Lei, Li De-Mou, Luo Xiao-Ying, Niu Guo-Qing, Tang Mei, Pei Yan

机构信息

Center of Biotechnology, Southwest Agricultural University, Beibei Chongqing 400716, China.

出版信息

Yi Chuan Xue Bao. 2002 May;29(5):438-44.

Abstract

Yield and yield components in hybrid rice were investigated using AFLP, RAPD and SSR markers. Ten restorer and five male-sterile lines were crossed in all possible pairs resulting in 50 crosses. Positive loci, effect-increasing loci, effect-decreasing loci and non-environmental loci were selected from the 931 marker loci surveyed in the 15 parental lines and their correlation with yield and yield components were analyzed. The results indicated as follows (1) The correlation between genetic difference and yield and yield components calculated on all three molecular loci failed to reach significant level for most of the traits investigated and can not be used to predict yield and yield components directly. (2) Positive loci were of limited usefulness in the prediction of yield and yield components for their variation with different traits investigated despite that they can improve the correlation coefficient in some degree. (3) Effect-increasing and effect-decreasing loci can greatly improve correlation coefficient and may be used to predict the yield and yield components for their consistence with the environment. (4) The coefficient based on non-environmental loci was high though it was a bit lower than that based on effect-increasing and effect-decreasing loci. It indicated that environment had great effect on yield and yield components in rice.

摘要

利用AFLP、RAPD和SSR标记对杂交水稻的产量及产量构成因素进行了研究。将10个恢复系和5个不育系进行所有可能的成对杂交,共获得50个杂交组合。从15个亲本系中检测的931个标记位点中筛选出正向位点、增效位点、减效位点和非环境位点,并分析了它们与产量及产量构成因素的相关性。结果如下:(1)基于所有三个分子位点计算的遗传差异与产量及产量构成因素之间的相关性,对于大多数所研究的性状未达到显著水平,不能直接用于预测产量及产量构成因素。(2)正向位点在预测产量及产量构成因素方面作用有限,尽管它们在一定程度上能提高相关系数,但随所研究性状的不同而变化。(3)增效位点和减效位点能极大地提高相关系数,因其与环境的一致性,可用于预测产量及产量构成因素。(4)基于非环境位点的系数较高,尽管略低于基于增效位点和减效位点的系数。这表明环境对水稻产量及产量构成因素有很大影响。

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