Background: Genetic diversity is an important prerequisite for the improvement of field pea through hybridization and selection. The current study was undertaken to assess genetic divergence among 10 parental lines and 45 F1 hybrids of field pea under TS and LS conditions to identify genetically diverse and superior genotypes for breeding high-yielding and heat stress-tolerant cultivars. Methods: A total of 55 genotypes, comprising 10 parental lines and 45 F1 hybrids, were evaluated under TS and LS conditions. Genetic divergence was assessed through Mahalanobis’ D2 statistics, while PCA was employed to determine the contribution of different traits to overall variability and to identify promising genotypes. Result: The maximum inter-cluster distances were recorded between clusters V and VI (timely sown) and clusters II and V (late sown), suggesting their potential for generating superior recombinants. PCA demonstrated that the leading four principal components explained 80.51% and 78.18% of the total variation under timely and late sowing, respectively. Seed yield/plant, biological yield/plant, pods/plant and primary branch/plant, secondary branches/plant were the main contributors to genetic divergence. The hybrids IPF 22-22 × IPF 22-24 and RFP 2020-2 × IPF 22-24 were identified as promising across environments, while parental lines IPF 22-22 and IPF 22-24 showed superior performance under late sowing, indicating their potential as heat stress-tolerant parents.
Laxmidas Verma, Anand Kumar, Deepak kumar Prajapati et al.· Legume Research An Internati...· 0 citations
Background: Chickpea (Cicer arietinum L.) classified as one of the greatest prominent pulse crops in India and contributes substantially to nutritional security through its high protein content. Genetic improvement of chickpea requires comprehensive knowledge on degree of the variability available within breeding materials and connection among different genotypes facilitates identification of promising parents and effective selection process. Keeping in view, the present study was done to examine the heritability, genetic variability, genetic divergence and trait associations among forty one chickpea genotypes in the agroclimatic circumstances of western Uttar Pradesh. Methods: The experiment was conducted on 41 genotypes of chickpea in research farm of Department of Genetic and Plant Breeding, CCS University Meerut (UP) India. Each genotype was sown during rabi season 2021-22 utilizing Randomize block design involving three replications. Five plant were randomly selected were utilized to record data for every genotype in each replication, covering the eleven characteristic traits that were being studied. Result: ANOVA demonstrated sufficient variability among the all evaluated genotypes for each trait. The highest GCV and PCV estimates were found for no. of seeds/plant, number of pods plant, hundred seeds weight, seed yield per plant, biological yield/ plant, branches/plant, total seeds/ pods, plant height. Heritability (bs) with GA as % of mean was highest for number of seeds/plant, followed by pods/plant, biological yield/plant, 100 seed weight, seed yield/plant, no. of seeds/pod. Correlation result demonstrate the number of seeds per plant significant positive associated with seed/ plant, pods/plant, harvest index, primary branches/plant, no. of seeds/pod, biological yield/plant. Path analysis demonstrated the harvest index, biological yield, no. of seed/pod and plant height exerted greatest positive direct effects on seed yield. In contrast, hundred seed weight, branches/plant, total seeds/plant, pods/plant revealed negative direct effect on seed yield. The intra cluster distance ranged from 2.261 to 2.918 in cluster I and III, respectively. Between cluster III and II showed high inter cluster distance in compression to between cluster I and III, cluster I and II. The genotypes RHD-52, BG-372, JG-2001-115 and K-1065 were identified as suitable for early flowering and maturity, whereas JG-226, DC-18-1107, ICC-8948, JG-2001-115, ICC-7549 and P-1106 were found superior for seed yield performance.
R. S. Thapa, Anand Kumar, Anuj Kumar et al.· Legume Research An Internati...· 0 citations
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