Genetic divergence analysis in chickpea germplasm

Shivwanshi, Renuka; Babbar, Anita

doi:10.18805/lr-3921

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…Low genetic diversity in the cultivated chickpea is one of the causes for narrow genetic base leading to lower yield gains in chickpea (Bharadwaj et al 2010, Shivwanshi andBabbar 2018). So, there is a need to develop genotypes for specific environment.…”

Section: Introductionmentioning

confidence: 99%

Genetic Diversity Analysis In Kabuli Chickpea (Cicer Arietinum L.) Genotypes Based On Quantitative Traits And Molecular Markers

2022

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Chickpea (Cicer arietinum L.) provides high quality protein for human and animal consumption as well as offers economic benefits to farmers because of the high market value for its grains. Fifty indigenous and exotic kabuli chickpea lines varying in seed yield and plant type were subjected to 20 SSR markers analysis for assessment of genetic diversity. Among twenty SSR primers, eleven of them were able to produce polymorphic bands. Quantitative traits based clustering pattern was found to be similar to molecular clustering for most of the kabuli genotypes such as JGK 1, JGK 2, JGK 3, JGK 32-1 and some of the ICRISAT (ICCVs) and ICARDA (FLIPs) lines. This indicated the association of used molecular markers with targeted quantitative traits in the present study. Bangladesh J. Bot. 51(3): 581-587, 2022 (September)

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Section: Introductionmentioning

confidence: 99%

Genetic Diversity Analysis In Kabuli Chickpea (Cicer Arietinum L.) Genotypes Based On Quantitative Traits And Molecular Markers

2022

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Elucidating genetic diversity and variability in Chickpea (Cicer arietinum L.) using yield attribution traits

Babbar,

Kujur,

Sharma

et al. 2023

ECJ

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Fifty-six desi chickpea (Cicer arietinum L.) advance breeding lines were evaluated in order to explore the possibility of genetic divergence for yield and its contributing traits using Mahalanobis’s D2 Statistics and Principal Component Analysis. High estimates of heritability, genetic advance, GCV and PCV were recorded for seed yield per plant (92.2%, 12.4%, 37.1% and 38.7%), biological yield per plant (88.1%, 21.9%, 29.1% and 31.0%) and harvest index (87.3%, 25.0%, 22.7% and 24.3%). All the test genotypes were sort into five discrete clusters. Biological yield/plant (23.5%), days to maturity (17.3%), harvest index (14.6%), seed yield/plant (11.3%), total number of pods/plant (7.4%) and 100 seed weight (6.49%) were found to have highest percentage contributions to genetic diversity in the present research. The first six principal components (PC1 19.7%, PC 16.2%, PC3 11.2%, PC4 9.69%, PC5 7.2% and PC6 6.69%) could explain 70.68% of the total of the interaction variation and have Eigen value more than one. Genotypes JG 2016-1411, JG 2016-9605, JG 2017-46, ICCV 16105, ICCV 16109, ICCV 16112 and ICCV 16116 were present in more than one PCs hence contributed maximum towards yield and can be used in various breeding programmes for yield improvement.

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Genetic divergence analysis in chickpea germplasm

Cited by 2 publications

References 5 publications

Genetic Diversity Analysis In Kabuli Chickpea (Cicer Arietinum L.) Genotypes Based On Quantitative Traits And Molecular Markers

Genetic Diversity Analysis In Kabuli Chickpea (Cicer Arietinum L.) Genotypes Based On Quantitative Traits And Molecular Markers

Elucidating genetic diversity and variability in Chickpea (Cicer arietinum L.) using yield attribution traits

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