Genetic divergence analysis in chickpea germplasm

Shivwanshi, Renuka; Babbar, Anita

doi:10.18805/lr-3921

Cited by 4 publications

(5 citation statements)

References 5 publications

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“…Short-duration varieties are useful in crop rotation and for demonstrating pest tolerance by escaping or avoiding attack during the reproductive phase of the plant since they require fewer days to mature. Researchers supporting the present findings were Dhuria and Babbar (2016), Tiwari and Babbar (2017), Shivwanshi and Babbar (2019), Rafiq et al (2020) and Tengse et al (2022). Elite genotypes can be selected based on these traits and used as donor parents in future hybridization programs.…”

Section: Resultssupporting

confidence: 82%

Strategic Approaches for Genetic Enhancement of Quantitative and Physiological Traits in Advanced Breeding Lines of Chickpea

Gond,

Kujur,

Chaudhary

et al. 2024

Environment and Ecology

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Performance on seed yield and yield attributing traits of 41 advance breeding lines were used to estimate parameters of genetic variability, association analysis and diversity analysis between seed yield and its contributing traits. Traits such as biological yield per plant, number of seeds per pod, seed yield per plant, stem thickness, height of first fruiting node, number of effective pods per plant, total number of pods per plant, harvest index and primary branches per plant revealed high genotypic and phenotypic coefficient of variation, heritability and genetic advance as percent of mean. High magnitude of positive direct effect and significantly positive correlations on seed yield per plant was found with number of effective pods per plant, biological yield per plant, harvest index and number of secondary branches per plant. Clustering analysis based on various morphological traits assorted 41 desi chickpea genotypes into four clusters. Traits like biological yield, plant height and 100 seed weight contributed most towards the genetic divergence. Genotypes ICCV211103, ICCV211106, ICCV211108, ICCV211111, ICCV211116, RVG 204, JG 24, JG 12, JG 16, Virat and Vishal recorded maximum positive principal component scores for the traits viz., plant height, total number of pods per plant, number of effective pods per plant, days to 50% flowering, days to maturity, stem thickness, biological yield per plant, harvest index, seed yield per plant, 100 seed weight and stem height at first fruiting node, therefore these genotypes will as promising donor lines for chickpea yield improvement.

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Section: Resultssupporting

confidence: 82%

Strategic Approaches for Genetic Enhancement of Quantitative and Physiological Traits in Advanced Breeding Lines of Chickpea

Gond,

Kujur,

Chaudhary

et al. 2024

Environment and Ecology

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“…The germplasm is a collection of genotypes which were used to improve crop varieties for yield increment to cope emerging demands [9]. Divergent parents were used for selection of improved genotypes for obtaining transgressive segregations has also been addressed.…”

Section: Genetic Divergence Using Mahalanobis's D 2 Analysismentioning

confidence: 99%

“…The characters with high contribution (%) towards the divergence should be given prime importance during selection [9]. The percentage of individual contribution towards genetic divergence by all the studied traits is presented in Table 4.…”

Section: Contribution Of Characters Towards Divergence Of the Genotypesmentioning

confidence: 99%

Assessment of Genetic Diversity among Quantitative Traits of Chickpea Genotypes

Panwar,

Singh,

et al. 2024

ACRI

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Chickpea (Cicer arietinum L.) is the most important pulse crop providing the livelihood to farmers. India is one of the topmost countries in chickpea production followed by middle-east. Assessment of morphological traits and their genetic diversity will help in increasing production of chickpea. A comprehensive evaluation of 44 distinct chickpea genotypes was conducted during 2020-21 Rabi season at RLBCAU, Jhansi. Utilizing Tocher's method and D2 values, the studied genotypes were meticulously organized into nine non-overlapping clusters, with cluster (I) comprising the most, featuring 17 genotypes, followed by cluster (II) with 12 genotypes. Significant genetic diversity was evident, especially between clusters (IV) and (VI) (2710.13) followed by (V) and (VI) (2565.51), highlighting the diversity among these genotypes. Key contributors to this divergence were 100-seed weight (48.8%), number of secondary branches per plant (26.5%), and seed yield per plant (9%). Cluster (VIII) exhibited higher mean values for days to maturity (140.57), while cluster (VII) had elevated values for the number of pods per plant (84.61). Genotypes like Phule G 171105, RVSSG 81, RLBG 6, GL-16063, and RKG 19-2 emerged as potential contributors to future breeding programs, promising significant hybrid vigour and superior heterotic segregants to advance chickpea genetics.

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“…Understanding genetic variation is crucial for recognize its availability and its potential application in breeding. Improvement in yield can be achieved by selecting the genotypes with desirable characters either alone or in combination with other morphological traits (Shivwanshi and Babbar, 2019).…”

Section: Introductionmentioning

confidence: 99%

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 4 publications

References 5 publications

Strategic Approaches for Genetic Enhancement of Quantitative and Physiological Traits in Advanced Breeding Lines of Chickpea

Strategic Approaches for Genetic Enhancement of Quantitative and Physiological Traits in Advanced Breeding Lines of Chickpea

Assessment of Genetic Diversity among Quantitative Traits of Chickpea Genotypes

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

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