Chickpea is one of the important pulse crop next to faba bean and common bean in terms of area coverage and production in Ethiopia. It is usually grown as a source of cash, protein, maintaining soil fertility, used for animal feed and as fuel. Low genetic diversity, poor resistance against major diseases and abiotic stresses are major constraints in achieving high yield potential. Forty-nine kabuli chickpea experimental materials were studied at Debre Zeit and Akaki, Ethiopia with the objective of estimating genetic divergence among the genotypes and clustering them into genetically divergent class using multi-variate analysis technique in 2020 cropping season. Cluster analysis showed the 49 genotypes grouped into three clusters and one solitary. This implies that the genotypes used for the study were moderately divergent. The maximum distance was found between clusters II and IV followed by cluster III and IV. The minimum distance was found between cluster II and I. The first four principal components with eigenvalues greater than one explain about 74.3% of the total variation. genotype DZ-2012-CK-0290 from cluster I for grain yield and number of primary branch, DZ-2012-CK-0242 for high biological yield from cluster II; DZ-2012-CK-0249 for seed size from cluster III; DZ-2012-CK-0309 for early flowering and maturity from cluster III and DZ-2012-CK-0291 for number of seeds per pod, number of seeds per plant could be utilized in hybridization program for kabuli chickpea improvement.
Published in | International Journal of Energy and Environmental Science (Volume 6, Issue 4) |
DOI | 10.11648/j.ijees.20210604.15 |
Page(s) | 107-111 |
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2021. Published by Science Publishing Group |
Chickpea, Genetic Diversity, Cluster Analysis, Principal Component Analysis, Pulse Crop
[1] | Van der Maesen, L. J. G. (1987). Origin, history and taxonomy of chickpea. In: Saxena, M. C., Singh, K. B (Ed). The Chickpea. CAB international, Wallingford, UK, PP. 11-34. |
[2] | Atta, B. M., & Shah, T. M. (2009). Stability analysis of elite chickpea genotypes tested under diverse environments. Australia Journal of Crop Science, 3: 249-256. |
[3] | Wood, J. A., Knights, E. J., Harden. S., & Choct, M. (2012). Milling performance and other quality traits affected by seed shape in isogenic lines of desi chickpea (cicer arietinum l.). Journal of agricultural science, 4 (10): 244-252. |
[4] | Moreno, M. T., & Cubero, J. I., (1978). Variation in Cicer arietinum L. Euphytica, 27 (2), pp. 465-485. |
[5] | Pundir, R. P. S., Reddy, K. N., & Mengesha, M. H. (1991). Genetics of some physio-morphic and yield traits of chickpea (Cicer arietinum L.). Legume research, 14 (4): 157-161. |
[6] | Bejiga, G., & van der Maesen, L. J. G. (2006). Cicer arietinum L. Plant Resources of Tropical Africa in: Brink. M. Belay G (Ed); Cereals and Pulses; Published by PROTA Foundation, Wageningen, Netherlands/Backhuys, Leiden, Netherlands/CTA, Wageningen, Netherlands; pp. 42-46. |
[7] | CSA (Central Statistical Agency) (2020). Agricultural sample survey 2019 / 2020 report on area and production of major crops. (Private peasant holdings, Meher Season). Statistical Bulletin 587. Volume 1, Addis Ababa, Ethiopia. |
[8] | Legesse, D., Senait R., Asnake F., Demissie M, Gaur P. M, Gowda, C. L. L., & Bantilan, MSc. (2005). Adoption studies on improved chickpea varieties in Ethiopia. EARO (Addis Abeba, Ethiopia) and ICRISAT (Patancheru, India). |
[9] | Milner, J. A. (2000). Functional foods: the US perspective. Am J Clin Nutr., (71), S1654–S1659. |
[10] | Hasler, C. M. (2002). Functional foods, benefits, concerns and challenges; a position paper from the American Council on Science and Health. J Nutr., 132: 3772–3781. |
[11] | Kerem. Z., Lev-Yadun, S., & Gopher, A. (2007). Chickpea domestication in the Neolithic Levant through the nutritional perspective. J Archaeol Sci., 34, 1289–1293. |
[12] | Jukanti, A., Gaur, P., Gowda, C., & Chibbar, R. (2012). Nutritional quality and health benefits of chickpea (Cicer arietinum L.): A review. British Journal of Nutrition, 108 (S1), S11-S26. doi: 10.1017/S0007114512000797. |
[13] | ERCA, (Ethiopian Revenue and Customs Authority) (2017). Export Trade Statistics. http://www.erca.gov.et/. |
[14] | Ferede, S., Fikre, A., & Ahmed S. (2018). Assessing the competitiveness of smallholders Chickpea production in the central highlands of Ethiopia. Ethiopian Journal of Crop Science, 6 (2): pp. 51-65. |
[15] | Gaur, P. M., Jukanti, A. K., Srinivasan, S, Chaturvedi, S. K, Basu, P. S, Babbar, A., Jayalakshmi, V., Nayyar H., Devasirvatham, H., Mallikarjuna N., & Krishnamurthy L. (2014). Climate change and heat stress tolerance in chickpea in: Tuteja N, SS Gill SS (Ed); Climate change and plant abiotic stress tolerance; pp 839–855. |
[16] | Arumuganathan, K., & Earle, E. D. (1991). Nuclear DNA content of some important plant species. Plant Molecular Biology Reporter, 9: 208-219. |
[17] | Singh, B. D. (2002). Plant Breeding: Principles and Methods. Kalyani Publishers, New Delhi-Ludhiana. |
[18] | Chahal, G. S., & Gosal. S. S. (2002). Principles and procedures of plant breeding: biotechnological and conventional approach. Narosa Publishing House, New Delhi; pp 636. |
[19] | Mahalanobis, (1936). On the generalized distance in statistics. Proc. Nat. Inst. Sciences India, 2: 49–55. |
[20] | Rao, C. R. (1952). Advance statistical methods in biometrics research. Hafaer Pub. Co., Darion; pp 371-378. |
[21] | Singh, R. K., & Chaudhary, B. D. (1985). Biometrical Methods in Quantitative Genetic Analysis. Published by Kalyani, New Delhi-Ludhiana. |
[22] | Hajibarat, Z., Saidi, A., Hajibarat Z., & Talebi R. (2014). Genetic diversity and population structure analysis of landrace and improved chickpea (Cicer arietinum) genotypes using morphological and microsatellite markers. Enviromental and Experimental Biology, 12: 161-166. |
[23] | Temesgen, A., Mandefro, N., & Habtamu, Z. (2015). Genetic divergence study among Kabuli chickpea (Cicer arietinum L.) genotypes; Scholarly Journal of Agricultural Science, 5 (5): 183-188. |
[24] | Arora, R. N. (2018). Principal component analysis in kabuli chickpea (Cicer arietinum L.). IJCS., 6 (2): 2767-2768. |
APA Style
Fasil Hailu. (2021). Genetic Diversity Analysis for Agronomic Characteristics of Kabuli Chickpea (Cicer arietinum L.) Genotypes at Central Ethiopia. International Journal of Energy and Environmental Science, 6(4), 107-111. https://doi.org/10.11648/j.ijees.20210604.15
ACS Style
Fasil Hailu. Genetic Diversity Analysis for Agronomic Characteristics of Kabuli Chickpea (Cicer arietinum L.) Genotypes at Central Ethiopia. Int. J. Energy Environ. Sci. 2021, 6(4), 107-111. doi: 10.11648/j.ijees.20210604.15
AMA Style
Fasil Hailu. Genetic Diversity Analysis for Agronomic Characteristics of Kabuli Chickpea (Cicer arietinum L.) Genotypes at Central Ethiopia. Int J Energy Environ Sci. 2021;6(4):107-111. doi: 10.11648/j.ijees.20210604.15
@article{10.11648/j.ijees.20210604.15, author = {Fasil Hailu}, title = {Genetic Diversity Analysis for Agronomic Characteristics of Kabuli Chickpea (Cicer arietinum L.) Genotypes at Central Ethiopia}, journal = {International Journal of Energy and Environmental Science}, volume = {6}, number = {4}, pages = {107-111}, doi = {10.11648/j.ijees.20210604.15}, url = {https://doi.org/10.11648/j.ijees.20210604.15}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijees.20210604.15}, abstract = {Chickpea is one of the important pulse crop next to faba bean and common bean in terms of area coverage and production in Ethiopia. It is usually grown as a source of cash, protein, maintaining soil fertility, used for animal feed and as fuel. Low genetic diversity, poor resistance against major diseases and abiotic stresses are major constraints in achieving high yield potential. Forty-nine kabuli chickpea experimental materials were studied at Debre Zeit and Akaki, Ethiopia with the objective of estimating genetic divergence among the genotypes and clustering them into genetically divergent class using multi-variate analysis technique in 2020 cropping season. Cluster analysis showed the 49 genotypes grouped into three clusters and one solitary. This implies that the genotypes used for the study were moderately divergent. The maximum distance was found between clusters II and IV followed by cluster III and IV. The minimum distance was found between cluster II and I. The first four principal components with eigenvalues greater than one explain about 74.3% of the total variation. genotype DZ-2012-CK-0290 from cluster I for grain yield and number of primary branch, DZ-2012-CK-0242 for high biological yield from cluster II; DZ-2012-CK-0249 for seed size from cluster III; DZ-2012-CK-0309 for early flowering and maturity from cluster III and DZ-2012-CK-0291 for number of seeds per pod, number of seeds per plant could be utilized in hybridization program for kabuli chickpea improvement.}, year = {2021} }
TY - JOUR T1 - Genetic Diversity Analysis for Agronomic Characteristics of Kabuli Chickpea (Cicer arietinum L.) Genotypes at Central Ethiopia AU - Fasil Hailu Y1 - 2021/08/31 PY - 2021 N1 - https://doi.org/10.11648/j.ijees.20210604.15 DO - 10.11648/j.ijees.20210604.15 T2 - International Journal of Energy and Environmental Science JF - International Journal of Energy and Environmental Science JO - International Journal of Energy and Environmental Science SP - 107 EP - 111 PB - Science Publishing Group SN - 2578-9546 UR - https://doi.org/10.11648/j.ijees.20210604.15 AB - Chickpea is one of the important pulse crop next to faba bean and common bean in terms of area coverage and production in Ethiopia. It is usually grown as a source of cash, protein, maintaining soil fertility, used for animal feed and as fuel. Low genetic diversity, poor resistance against major diseases and abiotic stresses are major constraints in achieving high yield potential. Forty-nine kabuli chickpea experimental materials were studied at Debre Zeit and Akaki, Ethiopia with the objective of estimating genetic divergence among the genotypes and clustering them into genetically divergent class using multi-variate analysis technique in 2020 cropping season. Cluster analysis showed the 49 genotypes grouped into three clusters and one solitary. This implies that the genotypes used for the study were moderately divergent. The maximum distance was found between clusters II and IV followed by cluster III and IV. The minimum distance was found between cluster II and I. The first four principal components with eigenvalues greater than one explain about 74.3% of the total variation. genotype DZ-2012-CK-0290 from cluster I for grain yield and number of primary branch, DZ-2012-CK-0242 for high biological yield from cluster II; DZ-2012-CK-0249 for seed size from cluster III; DZ-2012-CK-0309 for early flowering and maturity from cluster III and DZ-2012-CK-0291 for number of seeds per pod, number of seeds per plant could be utilized in hybridization program for kabuli chickpea improvement. VL - 6 IS - 4 ER -