Genetic divergence studies of mango germplasms for tree, fruit yield and quality attributes under the Shivalik Foothills of Uttarakhand

Aim: To evaluate genetic variability and divergence in various traits among mango germplasms in the Tarai region of Uttarakhand. Methodology: The present study was conducted at Horticulture Research Centre, Pantnagar, Uttarakhand for two consecutive years (2021-22 and 2022-23). The genotypic and phenotypic coefficients of variation, heritability, genetic advance and genetic gain were estimated by the standard methods. Genetic divergence estimated by Principal Component Analysis (PCA) was subjected to multivariate statistical analysis. Results: The analysis of variance showed a significant difference for studied attributes, indicating a considerable amount of variability. The phenotypic coefficient of variation (PCV) value was consistently higher compared to genetic coefficient of variation (GCV). Tree growth, flowering, fruit, stone and quality parameters exhibited high genetic coefficient of variation, heritability and significant genetic advance as well as percentage of the mean. The divergence study identified various fruit, yield and plant growth attributes as the most influential trait in determining diversity. Interpretation: Traits exhibiting high genetic variability are crucial for breeders in selecting suitable germplasm, as highlighted by the Bi-plot analysis, which identified PMSS-7 and PMSS-11 as genetically distinct and particularly valuable for breeding programs. Key words: Bi-plot analysis, Divergence, Germplasms, Genetic diversity, Mango

Authors

Publication Details

Journal
Journal of Environmental Biology
Published
2025-05-05
DOI
https://doi.org/10.22438/jeb/46/3/mrn-5500
Primary Topic
Plant Physiology and Cultivation Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genetic divergence studies of mango germplasms for tree, fruit yield and quality attributes under the Shivalik Foothills of Uttarakhand

Jitendra Singh Shivran, Raj Kumar Jat, Indu Kumari, M. L. Jat et al.
Journal of Environmental Biology
Plant Physiology and Cultivation Studies
article

Genetic divergence studies of mango germplasms for tree, fruit yield and quality attributes under the Shivalik Foothills of Uttarakhand

Jitendra Singh Shivran, Raj Kumar Jat, Indu Kumari, M. L. Jat, Rakesh Kumar, Anita Singh
article en

Abstract

Aim: To evaluate genetic variability and divergence in various traits among mango germplasms in the Tarai region of Uttarakhand. Methodology: The present study was conducted at Horticulture Research Centre, Pantnagar, Uttarakhand for two consecutive years (2021-22 and 2022-23). The genotypic and phenotypic coefficients of variation, heritability, genetic advance and genetic gain were estimated by the standard methods. Genetic divergence estimated by Principal Component Analysis (PCA) was subjected to multivariate statistical analysis. Results: The analysis of variance showed a significant difference for studied attributes, indicating a considerable amount of variability. The phenotypic coefficient of variation (PCV) value was consistently higher compared to genetic coefficient of variation (GCV). Tree growth, flowering, fruit, stone and quality parameters exhibited high genetic coefficient of variation, heritability and significant genetic advance as well as percentage of the mean. The divergence study identified various fruit, yield and plant growth attributes as the most influential trait in determining diversity. Interpretation: Traits exhibiting high genetic variability are crucial for breeders in selecting suitable germplasm, as highlighted by the Bi-plot analysis, which identified PMSS-7 and PMSS-11 as genetically distinct and particularly valuable for breeding programs. Key words: Bi-plot analysis, Divergence, Germplasms, Genetic diversity, Mango

Journal of Environmental BiologyVol. 46(3)
Openalex Percentile: Top 93%
Plant Physiology and Cultivation Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.