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基于数量性状的孟加拉国香稻和优质稻种质资源变异性评估

Variability Assessment of Aromatic and Fine Rice Germplasm in Bangladesh Based on Quantitative Traits.

作者信息

Islam M Z, Khalequzzaman M, Bashar M K, Ivy N A, Haque M M, Mian M A K

机构信息

Genetic Resources and Seed Division, Bangladesh Rice Research Institute (BRRI), Gazipur 1701, Bangladesh.

CIAT, HarvestPlus, Banani, Dhaka 1213, Bangladesh.

出版信息

ScientificWorldJournal. 2016;2016:2796720. doi: 10.1155/2016/2796720. Epub 2016 Mar 31.

Abstract

The study was conducted to investigate genetic variability among 113 aromatic and fine local rice genotypes of which five were exotic in origin. The test genotypes were evaluated for 19 growth traits, yield components, and yield. All the quantitative traits varied significantly among the test genotypes. High heritability along with high genetic advance was observed for flag leaf area, secondary branches per panicle, filled grains per panicle, grain length, grain breadth, grain length breadth ratio, and 1000 grain weight. Such findings suggested preponderance of additive gene action in gene expression for these characters. Grain yield was significantly and positively correlated with days to flowering, days to maturity, panicle length, filled grains per panicle, and 1000 grain weight. According to D (2) cluster analysis, 113 test genotypes formed 10 clusters. Selection of parents from the clusters V and X followed by hybridization would possibly result in desirable heterosis for the development of heterotic rice hybrids. Finally, molecular characterizations of the studied germplasm are required for high resolution QTL mapping and validating the presence of candidate genes responsible for valuable characters.

摘要

本研究旨在调查113个香型和优质地方水稻基因型的遗传变异,其中5个为外来起源。对测试基因型的19个生长性状、产量构成因素和产量进行了评估。所有数量性状在测试基因型间差异显著。对于剑叶面积、每穗二次枝梗数、每穗实粒数、粒长、粒宽、粒长宽比和千粒重,观察到高遗传力和高遗传进展。这些发现表明这些性状在基因表达中加性基因作用占优势。籽粒产量与开花天数、成熟天数、穗长、每穗实粒数和千粒重显著正相关。根据D(2)聚类分析,113个测试基因型形成了10个聚类。从聚类V和X中选择亲本然后进行杂交,可能会产生理想的杂种优势,用于培育杂种优势水稻杂交种。最后,需要对研究的种质进行分子鉴定,以进行高分辨率QTL定位并验证负责有价值性状的候选基因的存在。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e73/4830757/1e0da1816173/TSWJ2016-2796720.001.jpg

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