Genetic variability studies in selected genotypes of khirni (Manilkara hexandra)

Khirni is one of the minor fruit crop of tropics. It is a well–known for medicinal and commercial importance. Totally, twenty six khirni genotypes were evaluated for yield, yield contributing characters and bio-chemical features during 2022-2023 at Department of Fruit Science, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, to estimate the extent of genotypic and phenotypic variability among them. The analysis of variance revealed highly significant differences among the genotypes for all studied traits. The magnitude of phenotypic coefficient of variation (PCV) was greater than the genotypic coefficient of variation (GCV) for all the character. High PCV and GCV (>20%) were recorded for average yield per tree, number of flowers per fascicle, seed weight, number of leaves per seedling and seedling vigour. Low expression of phenotypic coefficient of variation (<10%) were observed for acidity followed by total sugars, vitamin C, reducing sugars and non reducing sugars. High heritability (>90%) estimates were obtained for average yield per tree, vitamin C, seedling vigour, length of seedling, total sugars, reducing sugars, germination percent, seed weight, non reducing sugars and fruit weight. The highest genetic advance was also observed for the average yield per tree, seed weight and seedling vigour. Based on yield and yield-contributing traits, as well as germination studies, the genotypes MGK-31 and MGK-60were identified as promising for future khirni breeding improvement programs.

Authors

Publication Details

Journal
Electronic Journal of Plant Breeding
Published
2025-04-08
DOI
https://doi.org/10.37992/2025.1601.006
Primary Topic
Phytochemical and Pharmacological Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genetic variability studies in selected genotypes of khirni (Manilkara hexandra)

Swati Bharad, A. D. Ingole, Shashwat P. Mahalle, N. A. Khairkar et al.
Electronic Journal of Plant Breeding
Phytochemical and Pharmacological Studies
article

Genetic variability studies in selected genotypes of khirni (Manilkara hexandra)

Swati Bharad, A. D. Ingole, Shashwat P. Mahalle, N. A. Khairkar, G. G. Jadhav, U. A. Raut
article en

Abstract

Khirni is one of the minor fruit crop of tropics. It is a well–known for medicinal and commercial importance. Totally, twenty six khirni genotypes were evaluated for yield, yield contributing characters and bio-chemical features during 2022-2023 at Department of Fruit Science, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, to estimate the extent of genotypic and phenotypic variability among them. The analysis of variance revealed highly significant differences among the genotypes for all studied traits. The magnitude of phenotypic coefficient of variation (PCV) was greater than the genotypic coefficient of variation (GCV) for all the character. High PCV and GCV (>20%) were recorded for average yield per tree, number of flowers per fascicle, seed weight, number of leaves per seedling and seedling vigour. Low expression of phenotypic coefficient of variation (<10%) were observed for acidity followed by total sugars, vitamin C, reducing sugars and non reducing sugars. High heritability (>90%) estimates were obtained for average yield per tree, vitamin C, seedling vigour, length of seedling, total sugars, reducing sugars, germination percent, seed weight, non reducing sugars and fruit weight. The highest genetic advance was also observed for the average yield per tree, seed weight and seedling vigour. Based on yield and yield-contributing traits, as well as germination studies, the genotypes MGK-31 and MGK-60were identified as promising for future khirni breeding improvement programs.

Electronic Journal of Plant BreedingVol. 16(1)
Openalex Percentile: Top 89%
Phytochemical and Pharmacological 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.