Asian Journal of Dairy and Food Research, volume 41 issue 4 (december 2022) : 395-402

Assessment of Genetic Divergence by Using Multivariate Analysis for Physico Chemical Characters of Mango Table and Juicy Cultivars Grown in Telangana Region

B. Soujanya, A. Kiran Kumar, S. Vanisri, M. Sreedhar, P. Saidiah, A. Bhagwan, G. Sathish
1College of Horticulture, Sri Konda Laxman Telangana State Horticultural University, Rajensranagar, Hyderabad-500 030, Telangana, India.
Cite article:- Soujanya B., Kumar Kiran A., Vanisri S., Sreedhar M., Saidiah P., Bhagwan A., Sathish G. (2022). Assessment of Genetic Divergence by Using Multivariate Analysis for Physico Chemical Characters of Mango Table and Juicy Cultivars Grown in Telangana Region. Asian Journal of Dairy and Food Research. 41(4): 395-402. doi: 10.18805/ajdfr.DR-1776.
Background: Mango (Mangifera indica L.) is well known for its diversity in Indian subcontinent and 1000 well known varieties are present all over the India among them 40 to 50 are having commercial importance. The present experiment was carried out at College of Horticulture, Rajendranagar during the year 2018-19 and 2019-20 to assess the genetic diversity in fifty mango cultivars using multivariate analysis over 25 physico-chemical characters.
Methods: To assess the genetic diversity using D2 analysis and principal component analysis over 50 mango cultivars during 2 consecutive years.
Result: In the present investigation, the first seven principal components with eigen values more than one contributed 78.50 % of cumulative variance among fifty genotypes. Fifty genotypes were grouped into eight clusters among them cluster I was the largest comprising of twenty-six genotypes. Average inter cluster distance ranged from 218.93 between cluster V and VII to 1475.21 between cluster IV to VIII. Intra cluster distance ranged from 0.00 in cluster V, VI, VII and VIII to 280.69 in cluster III. The present results are most divergent for fruit weight, total phenols content, total flavonoid content, DA reading, fibre content, beta carotene, antioxidant activity, fruit length, fruit thickness. Selection of genotypes from clusters that are far genetically and had the maximum association of physico chemical characters to obtain superior segregants in the advanced generation to improve the quality of breeding in the future.

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