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水稻(L.)粒数和产量相关性状的分子标记辅助选择

Marker-assisted selection for grain number and yield-related traits of rice ( L.).

作者信息

Gouda Gayatri, Gupta Manoj Kumar, Donde Ravindra, Mohapatra Trilochan, Vadde Ramakrishna, Behera Lambodar

机构信息

1ICAR-National Rice Research Institute, Cuttack, Odisha 753 006 India.

2Department of Biotechnology and Bioinformatics, Yogi Vemana University, Kadapa, Andhra Pradesh 516 005 India.

出版信息

Physiol Mol Biol Plants. 2020 May;26(5):885-898. doi: 10.1007/s12298-020-00773-7. Epub 2020 Mar 27.

Abstract

Continuous rise in the human population has resulted in an upsurge in food demand, which in turn demand grain yield enhancement of cereal crops, including rice. Rice yield is estimated via the number of tillers, grain number per panicles, and the number of spikes present per panicle. Marker-assisted selection (MAS) serve as one of the best ways to introduce QTLs/gene associated with yield in the rice plant. MAS has also been employed effectively in dissecting several other complex agricultural traits, for instance, drought, cold tolerance, salinity, etc. in rice plants. Thus, in this review, authors attempted to collect information about various genes/QTLs associated with high yield, including grain number, in rice and how different scheme of MAS can be employed to introduce them in rice ( L.) plant, which in turn will enhance rice yield. Information obtained to date suggest that, numerous QTLs, e.g., , , associated with grain number and yield-related traits, have been identified either via mapping or cloning approaches. These QTLs have been successfully introduced into rice plants using various schemes of MAS for grain yield enhancement in rice. However, sometimes, MAS does not perform well in breeding, which might be due to lack of resources, skilled labors, reliable markers, and high costs associated with MAS. Thus, by overcoming these problems, we can enhance the application of MAS in plant breeding, which, in turn, may help us in increasing yield, which subsequently may help in bridging the gap between demand and supply of food for the continuously growing population.

摘要

人口的持续增长导致了粮食需求的激增,这反过来又要求提高包括水稻在内的谷类作物的谷物产量。水稻产量是通过分蘖数、每穗粒数和每穗穗数来估算的。标记辅助选择(MAS)是在水稻植株中引入与产量相关的QTL/基因的最佳方法之一。MAS也已有效地用于剖析水稻植株中的其他几个复杂农业性状,例如干旱、耐寒性、盐度等。因此,在本综述中,作者试图收集有关水稻中与高产(包括粒数)相关的各种基因/QTL的信息,以及如何采用不同的MAS方案将它们引入水稻植株中,这反过来又将提高水稻产量。迄今为止获得的信息表明,通过图谱绘制或克隆方法已经鉴定出许多与粒数和产量相关性状相关的QTL,例如 、 、 。这些QTL已通过各种MAS方案成功引入水稻植株中,以提高水稻的籽粒产量。然而,有时MAS在育种中表现不佳,这可能是由于缺乏资源、熟练劳动力、可靠的标记以及与MAS相关的高成本。因此,通过克服这些问题,我们可以加强MAS在植物育种中的应用,这反过来可能有助于我们提高产量,进而可能有助于缩小不断增长的人口的粮食供需差距。

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