| Peer-Reviewed

Studies on Genetic Variability of Common Bean (Phaseolus vulgaris L.) Varieties for Yield and Yield Related Traits in Western Ethiopia

Received: 3 January 2022     Accepted: 19 January 2022     Published: 28 January 2022
Views:       Downloads:
Abstract

The objectives of the study were to determine genetic variability, interrelationships among different traits, and to estimate genetic divergence among the nineteen common bean varieties. Nineteen common bean varieties were tested for yield and yield related traits in completely randomized block design in three replications at Uke Research and Technology Demonstration Site, in 2018 cropping season. The analysis of variance showed that the varieties were significantly different for all traits except for days to 50% flowering and number of seed per pod. Among all tested varieties Anger gave the maximum yield (4.03 t/ha) followed by Awash 1 (3.93 t/ha) and Awash-2 (3.49 t/ha). Genotypic and phenotypic coefficient of variation values greater than 30% were obtained for plant height, leaf area, pod length, and seed yield indicating high variations among the tested genotypes. Heritability values greater than 60% were obtained for plant height, leaf area, inter node length, pod length, number node per plant, number of pod per plant, 100-seed weight, seed yield, biological yield and harvest index; Genetic advance as a percent of mean values were greater than 30% for plant height, leaf area, inter node length, pod length, number of node per plant, number of pod per plant, seed yield, biological yield and harvest index indicating, the traits are governed by additive genes. Genotypic and phenotypic correlation coefficient showed that seed yield was significantly and positively correlated with biological yield and harvest index both at genotypic and phenotypic levels, indicating they are true indicator for higher seed yield. Whereas the correlation between seed yields and other traits not strong in magnitudes. The principal component analysis indicated that the first four principal components explained 84.78% of the total variation in the varieties, suggesting the characters considered were sufficient to explain the total variations. The genetic divergence (D2) analysis indicated that the 19 varieties were grouped in to four clusters and distances between these clusters were significantly different between all the cluster combinations. This indicates that there is an opportunity to bring about improvement through hybridization of varieties from different clusters and subsequent selection from the segregating generations. Generally, the tested varieties had ample genetic variations and yield potential to use in the future breeding program in western Ethiopia.

Published in International Journal of Applied Agricultural Sciences (Volume 8, Issue 1)
DOI 10.11648/j.ijaas.20220801.15
Page(s) 41-49
Creative Commons

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.

Copyright

Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

Common Bean, Genetic Advance, Genotype, Heritability, Phenotype

References
[1] Acland, J. D., 1971. East African Crops. Longman Group limited. London. p. 20-25.
[2] Adhikari, G. and M. P. Pandey. 1982. Genetic variability in some quantitative characters on scope for improvement in chickpea. Chickpea Newsletter, June Icn, 7: 4-5.
[3] Arora, P. P., 1991. Genetic variability and its relevance in chickpea improvement. International Chickpea Newsletter 25: 9-10.
[4] Arya, P. S. and Ajai Rana 1999. Study of direct and indirect influence of some yield traits on green pod yield in French bean (Phaseolus vulgaris L.). Advance in Hort. and Forestry. 6: 99-100.
[5] Asati, B. S. and A. K. Singh. 2008. Genetic components studies in French bean (Phaseolus vulgaris L.). New Agriculturist; 19 (1/2): 117-123.
[6] Azizi, F., A. Rezai, and S. M. Maybodi. 2001. Genetic and phenotypic variability and factor analysis for morphological traits in genotypes of common bean (Phaseolus vulgaris L.). J. Science and Tech. Agri. And Natural Resources. 5 (3): 127-141.
[7] Ajibade, S. R. (2000). Pedigree selection in cowpea. Nigeria Journal of Botany 13: 29-33.
[8] Amare Abebe and Haile Kefene, 1989. Country reports Eastern Africa. Ethiopia. p. 110-120. In: proceedings of a workshop on bean varietal improvement in Africa. Maseru, Lesotho. 30 Jan- 2 Feb., 1989. CIAT African Workshop Series No 4.
[9] Balkaya A, Ergun A. Diversity and use of pinto bean (Phaseolus vulgaris L.) populations from Samsun, Turkey. New Zealand J. of Crop and Horticulture Science. 2008; 36: 189-197.
[10] Bendangkumzuk Walling and H. P. Chatturvedi. 2014. Genetic variability, characters association and path coefficient analysis in French Bean Genotypes of Nagaland. Indian Res. J. Genet. and Biotech.; 6 (2): 397-401.
[11] Bhushan, K. B., Sandeep Jadli, Omvati Verma and Amit K. Goswami. 2008. Plant characters, correlation and path coefficient analysis of seed yield in exotic French bean germplasm. Inter. J. Agri. Sci., 4 (2): 667-669.
[12] Centro International de Agricultura Tropical (CIAT), 1996a. The cultivated species of phaseoulus: study guide to be used as supplement to the audotutorial unit on the same topic. Cali, Colombia. CLAT.
[13] Chahal, G. S. and S. S. Gosal, 2002. Principles and Procedures of Plant Breeding: Biotechnology and Conventional Approaches. Narosa Publishing House, New Delhi. 604P.
[14] CSA (Central Statistics Agency of Ethiopia) (2017) Report on area and crop production of major crops for 2016 Meher season, 1: 125.
[15] Dabholkar. 1999. Elements of Biometrical Genetics. Concept Publishing Company, New Delhi.
[16] Dahiya, A. Sharma, S. K. Singh and K. P. Alok kumar. 2000. Variability studies in French bean (Phaseolus vulgaris L.). Annals of Biology; 16 (2): 201-204.
[17] Das, D. P. S., 2005. Divergence and stability studies in French bean (Phaseolus vulgaris L.). M.sc. Thesis, the university of Agricultural Sciences, Dharvard, India.
[18] Deshmukh, S. N., Basu, M. S. and Reddy, P. S. 1999. Genetic variability, character association and path coefficient analysis of quantitative traits in Viginia bunch varieties of ground nut. Indian Journal of Agricultural Science, 56: 515-518.
[19] Fikru Mekonnen, 2004. Genetic variability and inter- relationship of agronomic characters affecting seed yield in desi type Chickpea (Cicer arietinum L.). An M.Sc thesis submitted to the School of Graduate Studies, Addis Ababa University.
[20] Gepts P, Papa R, Coulibaly S et al (1999) Wild legume diversity and domestication – insights from molecular methods. In Vaughan D (ed), Wild legumes, Proc. 7th MAFF International Workshop on Genetic Resources. National Institute of Agrobiological Resources, Tsukuba, Japan, pp 19–31.
[21] Getahun Degu and Yeshi Chiche, 1989. Evaluation of farmer’s preference for haricot bean varieties. Shebedino farming system zone, Sidamo region. Awassa Research center. IAR. Working paper No. 6.
[22] Ghosh, K. P., Islam, A. K. M. A., Mian, M. A. K. and Hossain, M. M. (2010). Variability and character association in F2 segregating population of different commercial hybrids of Tomato (Solanum lycopersicum L.). J. Appl. Sci. Environ. 14 (2): 91-95.
[23] Hamdi, A. and Erskine, W. (1990). Heritability of plant height and lowest pod height in lentil. Agricultural Research Review 68: 1497-1509.
[24] Imru Assefa, 1985. Bean production in Ethiopia. In: Regional workshop on potential for field beans (Phaseolus vulgaris L.) in West Asia and North Africa. Aleppo, Syria. 1983. Cali, Colombia. P. 15-38.
[25] Institute of Agricultural Research (IAR), 1990. Research on haricot bean in Ethiopia. An assessment of status, progress, priorities, and strategies. Proceedings of a national workshop, 1-3 October, 1990. Addis Ababa, Ethiopia. p. 89-97.
[26] Jay Prakash and R. B. Ram. 2014. Genetic variability, correlation and path analysis for seed yield and yield related traits in French bean under Lucknow condition. International Journal of Innovative Sci., Engineering and Tech. 1 (6).
[27] Junaif, N. Wani, K. P. Khan, S. H. Hussain, K. Jabeen N. and H. M Ummyiah. H. M 2010. Gentic variability in dwarf French bean (Phaseolus vulgaris L.). Asian J. of Horticulture; 5 (1): 117-118.
[28] Kamaluddin and Shahid Ahmed. 2011. Variability, correlation and path analysis for yield and yield related traits in common bean. Indian J. of Hort.; 68 (1): 56-60.
[29] Karasu, A. and Oz, M., 2010. A study on coefficient analysis and association between agronomical characters in dry bean (Phaseolus vulgaris L.). Bulgarian Journal of Agricultural Science, 16, pp. 203-211.
[30] Khorgade, P. W., M. N. Narkhede, and S. K. Raut, 1985. Genetic variability studies in chickpea. International Chickpea Newsletter 10: 11-13.
[31] Kidane Giorgis, Amare Abebe, Adhanom Negasi, Legesse Dadi and Woldeyesus Sinebo, 1990. Cereal/Legume intercropping research in Ethiopia. In: waddington, S. R., A. F. E. Palmer, and O. T. Edje (eds.). Research methods for cereal/legume intercropping. Proceedings of a workshop on Research methods for cereal/legume intercropping in Eastern and Southern Africa. Mexico, D. F., CIMMYT.
[32] Kimani P. M., 1999. Common Bean in Africa. Its origin, production, and improvement, a brief note, University of Nairobi, Department of Crop Sciences, Nairobi, Kenya.
[33] Leakey, C. L. I., 1970. Crop improvement in East Africa. The improvement of bean (Phaseolus vulgaris L.) in East Africa. Common wealth agricultural bureaux, Frenham Roya, England. p 99-101.
[34] Mishra Smaranika, Manish Kumar and G. S. Sahu. 2008. Relationships among yield contributing characters in pole type French bean (Phaseolus vulgaris L.). Orissa J. of Hort.; 36 (2): 108-113.
[35] Pandey, V., V. K. Singh and D. K. Upadhyay. 2013. Determination of green pod yield components in French bean (Phaseolus vulgaris L.) through correlation and path coefficient analysis. Vegtos; 26 (2): 438-443.
[36] Purseglove, J. W., 1968. Tropical crops: Dicotyledons 1. Longmans Green and Co. Ltd. London. p. 304-310.
[37] Praveen Kumar Angadi Patil, M. G. Lokesha, R. Hussian, S. A. Hanchinmani, C. N. and Sreenivas, A. G. 2011. Genetic variability, heritability, and genetic advance in French bean (Phaseolus vulgaris L.). Evironment and Ecology; 29 (4): 1922-1925.
[38] Rai, N., B. S. Asati, A. K. Singh and D. S., Yadav. 2006. Genetic variability, characters association and path coefficient study in pole type French bean. Indian J. of Hort; 63 (2): 188-191.
[39] Raffi, S. A. and U. K. Nath. 2004. Variability, heritability, genetic advance and relationship of yield and yield contributing characters in dry bean (Phaseolus vulgaris L.). J. Biol. Sci. 4 (2): 157-159.
[40] Samal, K. M., P. N. Jagadev and D. Lenka, 1989. Genetic divergence in chickpea. International Chickpea Newsletter 21: 5-6.
[41] Shinde, S. S. and A. D. Dumbre. 2001. Correlation and path coefficient analysis in French bean. J. Maharashtra. Agril. Univ., 26 (1): 48-49.
[42] Singh, S. P., Teran, H., Moline, A. and Gutierrez, J. A. 1991. Genetics of seed yield and its components in common beans of Andean origin. Crop science Vol. 5 (7) 500-510.
[43] Singh, A. K., A. P. Singh, S. B. Singh and V. Singh. 2009. Relationship and path analysis for green pod yield and its contributing characters over environments in French bean (Phaseolus vulgaris L.). Legume Res., 32 (4): 270-273.
[44] Singh, A. K., K. P. Singh and B. K. Singh. 2007. Genetic variability, heritability and genetic advance in French bean (Phaseolus vulgaris L.). Haryana J. of Horticulture; 36 (3/4): 352-353.
Cite This Article
  • APA Style

    Welde Ketema, Negash Geleta. (2022). Studies on Genetic Variability of Common Bean (Phaseolus vulgaris L.) Varieties for Yield and Yield Related Traits in Western Ethiopia. International Journal of Applied Agricultural Sciences, 8(1), 41-49. https://doi.org/10.11648/j.ijaas.20220801.15

    Copy | Download

    ACS Style

    Welde Ketema; Negash Geleta. Studies on Genetic Variability of Common Bean (Phaseolus vulgaris L.) Varieties for Yield and Yield Related Traits in Western Ethiopia. Int. J. Appl. Agric. Sci. 2022, 8(1), 41-49. doi: 10.11648/j.ijaas.20220801.15

    Copy | Download

    AMA Style

    Welde Ketema, Negash Geleta. Studies on Genetic Variability of Common Bean (Phaseolus vulgaris L.) Varieties for Yield and Yield Related Traits in Western Ethiopia. Int J Appl Agric Sci. 2022;8(1):41-49. doi: 10.11648/j.ijaas.20220801.15

    Copy | Download

  • @article{10.11648/j.ijaas.20220801.15,
      author = {Welde Ketema and Negash Geleta},
      title = {Studies on Genetic Variability of Common Bean (Phaseolus vulgaris L.) Varieties for Yield and Yield Related Traits in Western Ethiopia},
      journal = {International Journal of Applied Agricultural Sciences},
      volume = {8},
      number = {1},
      pages = {41-49},
      doi = {10.11648/j.ijaas.20220801.15},
      url = {https://doi.org/10.11648/j.ijaas.20220801.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijaas.20220801.15},
      abstract = {The objectives of the study were to determine genetic variability, interrelationships among different traits, and to estimate genetic divergence among the nineteen common bean varieties. Nineteen common bean varieties were tested for yield and yield related traits in completely randomized block design in three replications at Uke Research and Technology Demonstration Site, in 2018 cropping season. The analysis of variance showed that the varieties were significantly different for all traits except for days to 50% flowering and number of seed per pod. Among all tested varieties Anger gave the maximum yield (4.03 t/ha) followed by Awash 1 (3.93 t/ha) and Awash-2 (3.49 t/ha). Genotypic and phenotypic coefficient of variation values greater than 30% were obtained for plant height, leaf area, pod length, and seed yield indicating high variations among the tested genotypes. Heritability values greater than 60% were obtained for plant height, leaf area, inter node length, pod length, number node per plant, number of pod per plant, 100-seed weight, seed yield, biological yield and harvest index; Genetic advance as a percent of mean values were greater than 30% for plant height, leaf area, inter node length, pod length, number of node per plant, number of pod per plant, seed yield, biological yield and harvest index indicating, the traits are governed by additive genes. Genotypic and phenotypic correlation coefficient showed that seed yield was significantly and positively correlated with biological yield and harvest index both at genotypic and phenotypic levels, indicating they are true indicator for higher seed yield. Whereas the correlation between seed yields and other traits not strong in magnitudes. The principal component analysis indicated that the first four principal components explained 84.78% of the total variation in the varieties, suggesting the characters considered were sufficient to explain the total variations. The genetic divergence (D2) analysis indicated that the 19 varieties were grouped in to four clusters and distances between these clusters were significantly different between all the cluster combinations. This indicates that there is an opportunity to bring about improvement through hybridization of varieties from different clusters and subsequent selection from the segregating generations. Generally, the tested varieties had ample genetic variations and yield potential to use in the future breeding program in western Ethiopia.},
     year = {2022}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Studies on Genetic Variability of Common Bean (Phaseolus vulgaris L.) Varieties for Yield and Yield Related Traits in Western Ethiopia
    AU  - Welde Ketema
    AU  - Negash Geleta
    Y1  - 2022/01/28
    PY  - 2022
    N1  - https://doi.org/10.11648/j.ijaas.20220801.15
    DO  - 10.11648/j.ijaas.20220801.15
    T2  - International Journal of Applied Agricultural Sciences
    JF  - International Journal of Applied Agricultural Sciences
    JO  - International Journal of Applied Agricultural Sciences
    SP  - 41
    EP  - 49
    PB  - Science Publishing Group
    SN  - 2469-7885
    UR  - https://doi.org/10.11648/j.ijaas.20220801.15
    AB  - The objectives of the study were to determine genetic variability, interrelationships among different traits, and to estimate genetic divergence among the nineteen common bean varieties. Nineteen common bean varieties were tested for yield and yield related traits in completely randomized block design in three replications at Uke Research and Technology Demonstration Site, in 2018 cropping season. The analysis of variance showed that the varieties were significantly different for all traits except for days to 50% flowering and number of seed per pod. Among all tested varieties Anger gave the maximum yield (4.03 t/ha) followed by Awash 1 (3.93 t/ha) and Awash-2 (3.49 t/ha). Genotypic and phenotypic coefficient of variation values greater than 30% were obtained for plant height, leaf area, pod length, and seed yield indicating high variations among the tested genotypes. Heritability values greater than 60% were obtained for plant height, leaf area, inter node length, pod length, number node per plant, number of pod per plant, 100-seed weight, seed yield, biological yield and harvest index; Genetic advance as a percent of mean values were greater than 30% for plant height, leaf area, inter node length, pod length, number of node per plant, number of pod per plant, seed yield, biological yield and harvest index indicating, the traits are governed by additive genes. Genotypic and phenotypic correlation coefficient showed that seed yield was significantly and positively correlated with biological yield and harvest index both at genotypic and phenotypic levels, indicating they are true indicator for higher seed yield. Whereas the correlation between seed yields and other traits not strong in magnitudes. The principal component analysis indicated that the first four principal components explained 84.78% of the total variation in the varieties, suggesting the characters considered were sufficient to explain the total variations. The genetic divergence (D2) analysis indicated that the 19 varieties were grouped in to four clusters and distances between these clusters were significantly different between all the cluster combinations. This indicates that there is an opportunity to bring about improvement through hybridization of varieties from different clusters and subsequent selection from the segregating generations. Generally, the tested varieties had ample genetic variations and yield potential to use in the future breeding program in western Ethiopia.
    VL  - 8
    IS  - 1
    ER  - 

    Copy | Download

Author Information
  • Wollega University Research and Technology Park, Wollega University, Nekemte, Ethiopia

  • National Wheat Research Program, Ethiopian Institute of Agricultural Research, Asella, Ethiopia

  • Sections