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首页> 外文期刊>Australian Journal of Crop Science >Molecular and morphological characterization of Indian farmers rice varieties (Oryza sativa L.)
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Molecular and morphological characterization of Indian farmers rice varieties (Oryza sativa L.)

机译：印度农民水稻品种（Oryza sativa L.）的分子和形态特征

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Genetic relatedness among Indian farmers’ rice varieties were assessed using 24 distinct rice microsatellite markers. The 41 rice genotypes studied included 14 improved varieties and 27 landraces collected from different parts of India. The number of alleles per microsatellite locus ranged from 2 to 4, averaging 2.79 alleles per locus. Polymorphism information content (PIC) values ranged from 0 to 0.66, with an average of 0.38. The band size for a given microsatellite locus varied between 80 bp and 580 bp. Characterization of the varieties was also done for various morphological parameters including number of grains per panicle, thousand grain weight, length and breadth of whole and milled grains, cooking qualities like grain elongation ratio, grain aroma and alkali spreading value. Cluster analyses were used to group cultivars by constructing dendrograms based on SSR marker analysis and morphological characterization of grains. The dendrogram based on molecular marker analysis grouped the 41 rice cultivars into four diverse groups. Genetic relatedness was observed for most of the varieties in cluster II for grain quality traits- aroma and grain length/breadth. Clustering of these varieties according to their genotypes as well as phenotypes revealed the possible linkage or pleiotropic effects of the genomic regions associated with some grain quality traits. Information generated through cluster analysis based on phenotypic and genotypic data could be efficiently used in breeding rice varieties harboring grain quality traits. Pure-line selection can be made using farmer varieties that are characterized morphologically and phenotypically in the study.
机译：使用24种不同的水稻微卫星标记评估了印度农民水稻品种之间的遗传相关性。研究的41种水稻基因型包括从印度不同地区收集的14个改良品种和27个地方品种。每个微卫星基因座的等位基因数量范围为2至4，平均每个基因座2.79个等位基因。多态信息含量（PIC）值的范围从0到0.66，平均为0.38。给定微卫星基因座的带大小在80 bp和580 bp之间变化。还对各种形态参数进行了表征，包括每穗粒数，千粒重，全谷粒和磨碎谷粒的长度和宽度，蒸煮品质如谷粒伸长率，谷粒香气和碱度扩散值。聚类分析通过基于SSR标记分析和谷物形态特征构建树状图来对品种进行分组。基于分子标记分析的树状图将41个水稻品种分为四个不同的组。集群II中大多数品种的谷物品质性状（香气和谷物长度/宽度）均具有遗传相关性。根据它们的基因型和表型对这些品种进行聚类，揭示了与某些谷物品质性状相关的基因组区域可能的连锁或多效性效应。通过基于表型和基因型数据的聚类分析产生的信息可以有效地用于育种具有谷粒品质性状的水稻品种。可以使用在研究中具有形态和表型特征的农民品种进行纯系选择。

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