|
Authors
Info
S. Lal1*,
S.K. Singh2,
A.K. Singh3
and N.K. Singh4
1ICAR-Central
Institute of Temperate
Horticulture, Srinagar-191 134, India
2Division of Fruits
and Horticultural
Technology, ICAR-Indian Agricultural
Research Institute,
New Delhi-110 012, India
3Horticultural
Sciences, ICAR,?
New Delhi-110 012, India
4ICAR-National
Research Centre
on Plant Biotechnology,
New Delhi-110 012, India
*Corresponding Author Email :
shivcith@gmail.com
|
Abstract
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.???
?
Interpretation: Pusa Arunima,
Pusa Shresth, Pusa Lalima, Mallika, Ramkela, Amrapali, Extreema, Neelum,
Gulab Jamun, S.B. Alibagh, Tommy Atkins, Primor-de-Amoreira genotypes were
found unique for fruit and yield attributing traits, thus making them
potential donor parent for fruit weight, fruit color, fruit diameter, fruit
shape, pulp and pulp: stone traits in mango hybridization? programme.
Key words: Genetic divergence, Mango genotypes, Multivariate
analysis, Techniques
|