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Vol. 12, Issue 1 (2023)

Association studies among promising mango (Mangifera indica L.) hybrids utilizing quantitative traits

Author(s):
Gulshan Kumar, Manish Srivastav, Sreekanth HS, Jai Prakash, Sanjay Kumar Singh and Vinod
Abstract:
The success of any crop improvement programme depends upon variability present at the genetic level, and knowledge of association between traits directly or indirectly influencing contributing traits is the prerequisite. Present study witnessed significant direct positive and direct negative effects between economically important traits among mango hybrids. The minimum difference between GCV and PCV was observed for fruit weight indicating very less environmental influence on this trait. Similarly, heritability (h2BS) ranged from 0.49 to 0.99 and highest value for genetic advance (GA) and heritability (h2BS) was noted for fruit weight. The principal component analysis (PCA) revealed a major proportion (91%) of variability was contributed by the first five components. Correlation at genotypic and phenotypic levels revealed that fruit weight is significantly and positively influenced by fruit length and fruit width. Similarly, path analysis demonstrated positive and direct effects of fruit length and leaf blade length on fruit weight. The information generated in present investigation has significance in selection of traits directly affecting the fruit weight, thus, very helpful in future mango improvement programmes.
Pages: 723-728  |  243 Views  143 Downloads


The Pharma Innovation Journal
How to cite this article:
Gulshan Kumar, Manish Srivastav, Sreekanth HS, Jai Prakash, Sanjay Kumar Singh, Vinod. Association studies among promising mango (Mangifera indica L.) hybrids utilizing quantitative traits. Pharma Innovation 2023;12(1):723-728.

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