Genetic variability in exotic cowpea (Vigna unguiculata L.) genotypes

Authors

  • Shuvo Jit Saha Department of Genetics and Plant Breeding, Patuakhali Science and Technology University, Dumki, Patuakhali-8602, Bangladesh https://orcid.org/0009-0004-1075-0769
  • Abul Kashem Chowdhury Department of Genetics and Plant Breeding, Patuakhali Science and Technology University, Dumki, Patuakhali-8602, Bangladesh
  • Md Mainul Islam Rashad Department of Genetics and Plant Breeding, Patuakhali Science and Technology University, Dumki, Patuakhali-8602, Bangladesh https://orcid.org/0000-0001-5360-9408
  • Md Muktadir Alam Regional Agricultural Research Station (RARS), Bangladesh Agricultural Research Institute (BARI), Chattogram, Bangladesh
  • Sheikh Md Mohsen Farhan Faculty of Agriculture, Patuakhali Science and Technology University, Dumki, Patuakhali-8602, Bangladesh https://orcid.org/0009-0003-5687-6167

DOI:

https://doi.org/10.3329/ajmbr.v10i4.74668

Keywords:

correlation, heritability, genetic advance, yield traits, phenotypic variation

Abstract

Genetic variability plays a crucial role in hybridization and the development of crops with desirable traits. This study, conducted at the Regional Agricultural Research Station of the Bangladesh Agricultural Research Institute in Chattogram, focused on assessing genetic diversity, correlations, and path coefficients related to yield and other traits in 31 cowpea genotypes. The experiment, designed as a randomized complete block with three replications, revealed significant differences among the genotypes for all traits measured, as confirmed by analysis of variance. While most traits showed minimal differences between phenotypic and genotypic variances, plant height and yield per plant were more significantly influenced by environmental factors. The coefficients of variation were low for days to first flowering, days to 50% flowering, days to maturity, and days to harvesting; moderate for seeds per plant; and high for other traits. Plant height, thousand-seed weight, and yield per plant exhibited high heritability and substantial genetic advance, suggesting that direct selection for these traits would be effective due to their additive genetic control. The correlation analysis indicated significant positive relationships between yield per plant and several flowering and maturity traits at both the genotypic and phenotypic levels. Path analysis identified plant height, days to 50% flowering, days to harvesting, seeds per plant, pods per plant, and thousand-seed weight as having positive direct effects on yield per plant, implying that selection for these traits could enhance cowpea yield. Among the evaluated genotypes, E25 stood out as the highest yielding with 533.33 g yield per plant, early maturity at 84 days after sowing, moderate thousand-seed weight (124.33 g), seeds per plant (13.87), and plant height (103.33 cm), making it a promising candidate for hybridization. This research provides valuable insights for cowpea breeding programs, highlighting the importance of selecting specific traits like plant height, flowering time, and thousand-seed weight to develop high-yielding, resilient cowpea varieties adaptable to diverse agricultural conditions.

Asian J. Med. Biol. Res. 2024, 10(4), 148-156

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References

Ahmed N, AK Chowdhury, MS Uddin and MM Rashad, 2020. Genetic variability, correlation and path analysis of exotic and local hybrid maize (Zea mays L.) genotypes. Asian J. Med. Biol. Res., 6: 8-15.

Ajayi AT and AE Gbadamosi, 2020. Genetic variability, character association and yield potentials of twenty-five accessions of cowpea (Vigna unguiculata L. Walp). J. Pure Appl. Agric., 5: 1-16.

Akter M, A Mahmud, M Akter, MN Siddiqui and MA Khan, 2022. Dissecting the salt tolerance potential of cowpea genotypes based on morpho‐physiology and yield‐related attributes. Ann. Appl. Biol., 180: 428-37.

Atakora K, ME Essilfie, K Agyarko, HK Dapaah and KG Santo, 2023. Evaluation of yield and yield components of some cowpea (Vigna unguiculata (L.) Walp) genotypes in forest and transitional zones of Ghana. Agric. Sci., 14: 878-897.

Begum MM, MM Karim, MA Hossain, MM Rahman and MO Islam, 2016. Morphological characters and dry mass production in winter tomato as affected by foliar application of plant growth regulators. Asian Australas. J. Biosci. Biotechnol., 1: 514-520.

Belay F and K Fisseha, 2021. Genetic variability, heritability, genetic advance and divergence in Ethiopian cowpea [Vigna unguiculata (L) Walp] landraces. Int. J. Agric. Sci. Food Technol., 7: 138-46.

Boukar O, N Belko, S Chamarthi, A Togola, J Batieno, E Owusu, M Haruna, S Diallo, ML Umar and O Olufajo, 2019. Cowpea (Vigna unguiculata): genetics, genomics and breeding. Plant Breed., 138: 415-424.

Burton GW and EH De Vane, 1953. Estimating heritability in tall fescue (Festuca arundinacea) from replicated clonal material. Agron. J., 45: 478-481.

Dabholkar AR, 1992. Elements of biometrical genetics. Concept Publishing Company, India.

Delfina B, T Alessandro, D Francesca, V Andrea, V Patrizia, V Giampiero and C Luigi, 2016. Next generation breeding. Plant Sci., 242: 3-13.

Devi SM and P Jayamani, 2018. Genetic variability, heritability, genetic advance studies in cowpea germplasm [Vigna unguiculata (L.) Walp]. Electron. J. Plant Breed., 9: 476-481.

Dewey DR and KH Lu, 1959. A correlation and path‐coefficient analysis of components of crested wheatgrass seed production 1. Agron. J., 51: 515-518.

Dorvlo IK, G Amenorpe, HM Amoatey, S Amiteye, JT Kutufam, E Afutu, E Asare-Bediako and AA Darkwa, 2022. Improvement in cowpea variety Videza for traits of extra earliness and higher seed yield. Heliyon, 8: e12059.

Edukondalu B, RV Reddy, ST Rani, AC Kumari and B Soundharya, 2017. Studies on variability, heritability, correlation and path analysis for yield and yield attributes in rice (Oryza sativa L.). Int. J. Curr. Microbiol. Appl. Sci., 6: 2369-2376.

Gupta RK, AM Parmila, A Kumar and P Kumari, 2019. Study on genetic variability in cowpea [Vigna unguiculata (L.) Walp]. Curr. Appl. Sci. Technol., 33: 1-8.

Jiang L, S Wu, Y Liu and C Yang, 2021. Grain security assessment in Bangladesh based on supply-demand balance analysis. PLoS One, 16: e0252187.

Johnson HW, HF Robinson and RE Comstock, 1955. Estimates of genetic and environmental variabilaity in soybeans. Agron. J., 47: 314-318.

Kalambe AS, MP Wankhade, A Deshmukh, BR Chavan and AV Shinde, 2019. Correlation studies in cowpea (Vigna unguiculata L.). J. Pharmacogn. Phytochem., 8: 321-323.

Manggoel W, MI Uguru, ON Ndam and MA Dasbak, 2012. Genetic variability, correlation and path coefficient analysis of some yield components of ten cowpea [Vigna unguiculata (L.) Walp] accessions. J. Plant Breed. Crop Sci., 4: 80-86.

Meena HK, KR Krishna and B Singh, 2015. Genetic variability, heritability and genetic advance in cowpea (Vigna unguiculata (L.) Walp.). J. Plant Sci., 31: 13-16.

Mishra HN and SR Dash, 2009. A study on variability, character association and path analysis for green pod yield in yard long bean [Vigna unguiculata subsp. sesquipedalis (L.) Verdcourt]. Vegetable Sci., 36: 319-322.

Mofokeng MA, J Mashilo, P Rantso and H Shimelis, 2020. Genetic variation and genetic advance in cowpea based on yield and yield-related traits. Acta Agric. Scandinavica, Sec. B — Soil Plant Sci., 70: 381-391.

Nkhoma N, H Shimelis, MD Laing, A Shayanowako and I Mathew, 2020. Assessing the genetic diversity of cowpea [Vigna unguiculata (L.) Walp.] germplasm collections using phenotypic traits and SNP markers. BMC Genetics, 21: 110.

Pandiyan M, M Vaithilingan, A Krishnaveni, P Sivakumar, C Sivakumar, E Jamuna, B Sivakumar, M Sivaji, M Yuvaraj and P Senthilkumar, 2020. Genetic variability studies on cowpea genotypes. Int. J. Curr. Microbiol. Appl. Sci., 9: 3794-3797.

Robinson HF, RE Cornstock and PH Harvey, 1949. Estimates of heritability and the degree of dominance in corn. Agron. J., 41: 353-359.

Sayadat N, MM Rahman, AA Kabir, K Kamruzzaman, MA Rahman, MM Billah, S Mojumder and MT Islam, 2019. Effect of mulch and organic amendment on yield performance of dry direct seeded BORO rice. Asian Australas. J. Biosci. Biotechnol., 4: 48-59.

Sharma A, SP Mishra and L Gour, 2019. Heritable relationship and variability of yield and yield determinants in cow pea. Int. J. Chem. Stud., 7: 3605-3611.

Shoyeb M, MS Hossain, MS Islam, A Azad, MAR Sarkar and SM Rahman, 2017. Effect of growth regulators on in vitro multiplication of potato (Solanum tuberosum L.) cv. diamant. Asian Australas. J. Biosci. Biotechnol., 2: 81-88.

Singh RK and BD Chaudhury, 1985. Biometrical methods in quantitative genetic analysis. Kalyani Publisher, India.

Thapa B, NR Adhikari, R Darai and BP Kandel, 2021. Variability of exotic cowpea genotypes for agro-morphological traits in mid-western region of Nepal. Alinteri J. Agric. Sci., 36: 47-54.

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Published

2024-11-20

How to Cite

Saha, S. J., Chowdhury, A. K., Rashad, M. M. I., Alam, M. M., & Farhan, S. M. M. (2024). Genetic variability in exotic cowpea (Vigna unguiculata L.) genotypes. Asian Journal of Medical and Biological Research, 10(4), 148–156. https://doi.org/10.3329/ajmbr.v10i4.74668

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Research Articles