2014
DOI: 10.3329/jbau.v11i2.19900
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Molecular characterization and morphological clustering of exotic early maturing rice (Oryza sativa L.) lines

Abstract: Characterization and variability analysis is important for the improvement of crop plant. This study aimed to evaluate the morphological and molecular variation of exotic early maturing rice (Oryza sativa L.) lines. A total of 32 exotic rice lines collected from different locations were genotyped and clustered using selected SSR markers. Based on morphological dendrogram, the lines were grouped into three clusters viz.I, II and III. Cluster I, cluster II and cluster III had 12, 11, 9 lines respectively. The re… Show more

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Cited by 4 publications
(4 citation statements)
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“…number of spikelets per panicle (0.821, 6.631), day to maturity (0.889, 1.542) and panicle length (0.052, 0.992) resulted in highly significant association with grain yield per plant. Similar report was reported by and Mehetre et al 2003Sarker et al 2014 Sarma Sharma Table 2: Phenotypic and genotypic coefficient of variation, heritability and genetic advance (as % of mean) among Short duration genotypes for yield and yield attributing traits Table 3: Estimates of phenotypic and genotypic correlation coefficient for yield and yield attributing traits (*: Significant at 5% level of significance, **: Signficant at 1% level of significance) ( ). At the both phenotypic and genotypic level, days to maturity had positive indirect effect via, number of spikelets per panicle (0.436, 2.793), while it had positive indirect effect via plant height (0.817) at the phenotypic level only.…”
Section: Path Analysissupporting
confidence: 64%
“…number of spikelets per panicle (0.821, 6.631), day to maturity (0.889, 1.542) and panicle length (0.052, 0.992) resulted in highly significant association with grain yield per plant. Similar report was reported by and Mehetre et al 2003Sarker et al 2014 Sarma Sharma Table 2: Phenotypic and genotypic coefficient of variation, heritability and genetic advance (as % of mean) among Short duration genotypes for yield and yield attributing traits Table 3: Estimates of phenotypic and genotypic correlation coefficient for yield and yield attributing traits (*: Significant at 5% level of significance, **: Signficant at 1% level of significance) ( ). At the both phenotypic and genotypic level, days to maturity had positive indirect effect via, number of spikelets per panicle (0.436, 2.793), while it had positive indirect effect via plant height (0.817) at the phenotypic level only.…”
Section: Path Analysissupporting
confidence: 64%
“…Identification of diverse genotypes using molecular markers is advantageous over the conventional approach [ 39 ]. SSRs molecular markers have been widely applied in the genetic diversity analysis, genotypic identification and population structure estimation in several rice genetic studies, including basmati rice [ 1 , 4 11 , 40 – 45 ]. In the present study, 38 out of 40 markers were polymorphic and produced unique allelic profiles for the 141 basmati rice genotypes.…”
Section: Discussionmentioning
confidence: 99%
“…The higher distance between groups indicated greater genetic divergence between the genotypes of these groups (Dejen et al., 2021; Yadav, 2018). The selection of parents for hybridization should be made from two clusters with larger distances between the clusters to achieve maximum variability in the separation of the generations (Sarker et al., 2013; Viana et al., 2015; Hoogerheide et al., 2017). However, the smallest intercluster distance was observed between Clusters II and III ( D 2 = 2.96) followed by Clusters I and VII ( D 2 = 2.93).…”
Section: Resultsmentioning
confidence: 99%