Assessment of genetic divergence of mango genotypes using multivariate techniques
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Title |
Assessment of genetic divergence of mango genotypes using multivariate techniques
Not Available |
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Creator |
S Lal, S K Singh, A K Singh, N K. Singh
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Subject |
Genetic divergence, mango, SSR
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Description |
Not Available
Aim: The study was carried out to assess the overall genetic variability of 60 mango (Mangifera indica) genotypes for important fruit quality and yield characteristics to select better parents for mango breeding programme. Methodology: A total of 17 variables were scored and subjected to multivariate analysis. ANOVA, descriptive statistics, cluster analysis and principal component analysis were used to investigate variability among the genotypes for the selected traits. Results: Significant phenotypic variability was observed for studied traits. Cluster analysis classified all genotypes into two major groups according to shared similarity. Principal component analysis revealed that traits like fruit weight, fruit diameter, pulp content and pulp: stone ratio contributed positively, while fruit shape index, TSS: acid ratio, stone and peel traits contributed negatively for a large proportion of the observed variability. Not Available |
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Date |
2019-12-05T09:52:46Z
2019-12-05T09:52:46Z 2019-06-01 |
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Type |
Research Paper
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Identifier |
Not Available
Not Available http://krishi.icar.gov.in/jspui/handle/123456789/28076 |
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Language |
English
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Relation |
Not Available;
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Publisher |
Not Available
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