Elucidating genetic diversity and variability in Chickpea (Cicer arietinum L.) using yield attribution traits
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...
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| Format: | Article |
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Action for Sustainable Efficacious Development and Awareness
2023-08-01
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| Series: | Environment Conservation Journal |
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| Online Access: | https://journal.environcj.in/index.php/ecj/article/view/2236 |
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| author | Anita Babbar Monica Jyoti Kujur Prachi Sharma Balkishan Chaudhary Monika Patel Archana Shakya |
| author_facet | Anita Babbar Monica Jyoti Kujur Prachi Sharma Balkishan Chaudhary Monika Patel Archana Shakya |
| author_sort | Anita Babbar |
| collection | DOAJ |
| description |
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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| first_indexed | 2024-03-08T21:38:15Z |
| format | Article |
| id | doaj.art-86f304a50cae486e98bec67d6436d5f7 |
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| language | English |
| last_indexed | 2024-03-08T21:38:15Z |
| publishDate | 2023-08-01 |
| publisher | Action for Sustainable Efficacious Development and Awareness |
| record_format | Article |
| series | Environment Conservation Journal |
| spelling | doaj.art-86f304a50cae486e98bec67d6436d5f72023-12-20T16:42:57ZengAction for Sustainable Efficacious Development and AwarenessEnvironment Conservation Journal0972-30992278-51242023-08-0124410.36953/ECJ.22362578Elucidating genetic diversity and variability in Chickpea (Cicer arietinum L.) using yield attribution traitsAnita Babbar0Monica Jyoti Kujur1Prachi Sharma 2Balkishan Chaudhary3Monika Patel4Archana Shakya5AICRP on Chickpea, Department of Plant Breeding and Genetics, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur, (MP), IndiaDepartment of Plant Breeding and Genetics, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur, (MP), IndiaDepartment of Plant Breeding and Genetics, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur, (MP), IndiaDepartment of Plant Pathology, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur, (MP), IndiaDepartment of Plant Pathology, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur, (MP), IndiaDepartment of Plant Breeding and Genetics, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur, (MP), India 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. https://journal.environcj.in/index.php/ecj/article/view/2236Genetic divergenceHeritabilityD2 analysisPCA |
| spellingShingle | Anita Babbar Monica Jyoti Kujur Prachi Sharma Balkishan Chaudhary Monika Patel Archana Shakya Elucidating genetic diversity and variability in Chickpea (Cicer arietinum L.) using yield attribution traits Environment Conservation Journal Genetic divergence Heritability D2 analysis PCA |
| title | Elucidating genetic diversity and variability in Chickpea (Cicer arietinum L.) using yield attribution traits |
| title_full | Elucidating genetic diversity and variability in Chickpea (Cicer arietinum L.) using yield attribution traits |
| title_fullStr | Elucidating genetic diversity and variability in Chickpea (Cicer arietinum L.) using yield attribution traits |
| title_full_unstemmed | Elucidating genetic diversity and variability in Chickpea (Cicer arietinum L.) using yield attribution traits |
| title_short | Elucidating genetic diversity and variability in Chickpea (Cicer arietinum L.) using yield attribution traits |
| title_sort | elucidating genetic diversity and variability in chickpea cicer arietinum l using yield attribution traits |
| topic | Genetic divergence Heritability D2 analysis PCA |
| url | https://journal.environcj.in/index.php/ecj/article/view/2236 |
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