2021
DOI: 10.3390/agronomy11091713
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Genetic Diversity in Local and Exotic Avena sativa L. (Oat) Germplasm Using Multivariate Analysis

Abstract: Avena sativa L., also known as Oat belongs to the Poaceae family, is one of the most significant crops that is grown for its seeds, fodder as well as for human consumption as oatmeal. In the current study, 236 genotypes of A. sativa were analysed for genetic diversity through agro-morphological and SDS-PAGE analysis. Cluster analysis based on agro-morphological characteristics grouped all the genotypes into nine clusters, whereas genotype numbers 537 and 728 were highly different from others. The seed yield pr… Show more

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Cited by 10 publications
(9 citation statements)
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“…Correlation analysis is important for the selection of traits and breeding methods (Ihsan et al, 2021). Plant height was found to be significantly correlated with days to maturity; spike length was significantly correlated with plant height.…”
Section: Discussionmentioning
confidence: 99%
“…Correlation analysis is important for the selection of traits and breeding methods (Ihsan et al, 2021). Plant height was found to be significantly correlated with days to maturity; spike length was significantly correlated with plant height.…”
Section: Discussionmentioning
confidence: 99%
“…Variation forms the basis for the selection of specific cereal genotypes for better utilization and conservation of high‐value genetic resources (Yadav et al, 2017). In addition to the interest in molecular markers for genetic diversity characterization, the use of biochemical markers is highly interesting, as these tools are often directly linked to desired nutritional, quality, and processing traits (Ihsan et al, 2021). Biochemical markers, including storage proteins, provide complementary information to molecular markers for assessing genetic variation, genetic structure, and phylogenetic relationships, and they have wide applications in efficient utilization, crop improvement, and conservation programs (Mzid et al, 2016; Ribeiro et al, 2012).…”
Section: Discussionmentioning
confidence: 99%
“…Understanding genetic diversity is one of the fundamental steps within genetic improvement programs, with the multivariate analysis approach being the most commonly used [69]. Generally, when there is a large amount of data, such as morphological, physiological, biochemical and molecular data, multivariate analyses are used with emphasis on the selection and preservation of genotypes with potential for use within the breeding program [69,70]. The use of dendrograms (Figure 2) to graphically describe the clustering method requires the cophenetic correlation coefficient to exceed 0.70 [63].…”
Section: Discussionmentioning
confidence: 99%