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Genetic Divergence and Heritability of 42 Coloured Upland Rice Genotypes (Oryzasativa) as Revealed by Microsatellites Marker and Agro-Morphological Traits

机译:微卫星标记和农业形态特征揭示的42种彩色旱稻基因型(Oryzasativa)的遗传发散性和遗传力

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摘要

Coloured rice genotypes have greater nutritious value and consumer demand for these varieties is now greater than ever. The documentation of these genotypes is important for the improvement of the rice plant. In this study, 42 coloured rice genotypes were selected for determination of their genetic divergence using 25 simple sequence repeat (SSR) primers and 15 agro-morphological traits. Twenty-one out of the 25 SSR primers showed distinct, reproducible polymorphism. A dendrogram constructed using the SSR primers clustered the 42 coloured rice genotypes into 7 groups. Further, principle component analysis showed 75.28% of total variations were explained by the first—three components. All agro-morphological traits showed significant difference at the (p≤0.05) and (p≤0.01) levels. From the dendrogram constructed using the agro-morphological traits, all the genotypes were clustered into four distinct groups. Pearson’s correlation coefficient showed that among the 15 agro-morphological traits, the yield contributing factor had positive correlation with the number of tillers, number of panicles, and panicle length. The heritability of the 15 traits ranged from 17.68 to 99.69%. Yield per plant and harvest index showed the highest value for both heritability and genetic advance. The information on the molecular and agro-morphological traits can be used in rice breeding programmes to improve nutritional value and produce higher yields.
机译:有色稻米基因型具有更大的营养价值,现在消费者对这些品种的需求比以往任何时候都更大。这些基因型的文献对于改良水稻植株很重要。在这项研究中,选择了42种有色水稻基因型,使用25个简单序列重复(SSR)引物和15种农业形态学特征来确定其遗传差异。 25个SSR引物中有21个显示出独特的,可重复的多态性。使用SSR引物构建的树状图将42种有色水稻基因型分为7组。此外,主成分分析表明,总变异的75.28%由前三个成分解释。在(p≤0.05)和(p≤0.01)的水平上,所有农业形态性状均表现出显着差异。从利用农业形态性状构建的树状图,所有基因型被分为四个不同的组。皮尔逊相关系数表明,在15种农业形态性状中,产量贡献因子与分till数,穗数和穗长成正相关。这15个性状的遗传力在17.68%至99.69%之间。单株产量和收获指数显示出最高的遗传力和遗传优势。有关分子和农业形态性状的信息可用于水稻育种计划,以提高营养价值并提高产量。

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