Variability and correlation study for forage traits in cowpea (Vigna unguiculata (L). Walp)
Abstract
The present study was conducted with 12 genotypes including two checks at AICRP on Forage Crops Unit, Professor Jayashankar Telangana Agricultural University, Rajendranagar, Hyderabad during Kharif 2025. The objective of the study was to determine the extent of variability, correlations and path coefficients among different forage and quality traits. The high value of Phenotypic Coefficient of Variation (PCV) and Genotypic Coefficient of Variation (GCV) was observed for Leaf-stem Ratio followed by Green Fodder Yield. High heritability (> 90%) was estimated for leaf stem ratio and green fodder yield, while more than 70% heritability was observed for most of the characters such as green fodder yield, dry matter yield, crude protein and leaf stem ratio. Higher genetic advance was observed for Leaf-Stem Ratio (79.20%) and green fodder yield. Green fodder yield had significantly positive correlation with green fodder yield per day (0.869), dry matter yield (0.935) and dry matter yield per day (0.777) which indicates that direct selection for these traits will be helpful for the improvement of green fodder yield in Cowpea.
Full Text
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Introduction
Cowpea (Vigna unguicullata (L.) Walp) is one of the members of genus Vigna which includes around 80 species throughout the tropics. Africa is the main area of production for cowpea as it is more suitable for low input agriculture. (Dalbir et al., 2017). Cowpea is a quick growing, single cut nutritious legume cultivated in both Kharif and summer season in Telangana, cowpea is grown throughout the year. It is gaining importance in the recent years due to its high food value, good fodder and used as an excellent green manure crop. It is quick-growing, tolerates moderate shade and drought by producing higher forage yield often utilized as hay and silage besides fresh feeding. The green vines with pods serve as excellent forage to livestock (Sushma 2020) [20] . Cowpea is grown for various purposes e.g. pulse, vegetable, green pod and as fodder crop. Cowpea provides excellent quality forage and gives a heavy vegetative growth that covers the ground so well that it checks the soil erosion. (Sahu, 2021 and Devinder et al., 2022) [15] . Among the forage traits, improvement of green fodder yield along with its quality is a major objective for plant breeder, but fodder yield in cowpea is a complex character which depends on the expression of various independent characters, therefore, it is essential to know the association among the various qualitative and quantitative forage traits so as to initiate an effective selection programme aiming at the improvement of forage yield and its quality. For selecting the desired genotypes for future breeding programmes, the assessment of genetic variability for various forage traits is of great importance (Baranda et al., 2018) [4] . Genotypic and Phenotypic coefficients of variability, heritability and genetic advance are considered as very important parameters for the yield improvement (Denton and Nwangburuka, 2011) [8] . Heritability of a character is important for a cowpea breeder because it provides an idea of the genetic control for the expression of a particular character (Chopra, 2000) [6] . Therefore, the present study was carried out to assess the variability with the help of genetic parameters like the coefficient of variability, heritability, genetic advance and association analysis.
Materials and Methods
The present study was conducted during the Kharif season of 2025 with 12 genotypes at Forage Crops Unit, Agriculture Research Institute, Professor Jayashankar Telangana Agriculture University, Rajendranagar. The material was evaluated in randomized block design in ten rows of three meter with row to row spacing 30 cm and plant to plant spacing of 10 cm along with two checks in three replications. Recommended package of practices was followed to raise a good crop. Observations were recorded on plant height, leaf stem ratio, green fodder yield per hectare per day (kg/ha/day), dry matter yield per hectare per day (kg/ha/day), green fodder yield per hectare and dry matter yield per hectare. The data was analyzed for estimating phenotypic and genotypic coefficient of variation (Burton and De Vane (1953) [5] , heritability in-broad sense (Hanson et al., 1956) [11] , genetic advance (Allard, 1960) [2] , correlation (Johnson et al., 1955) [12] and path analysis (Dewey and Lu, 1959) [10] were followed in the present study.
Results and discussion
Green fodder yield is a complex trait and it is affected by many characters. Being a quantitative trait, it is affected by the different environments. So, there is a need to deeply understand the interrelationship between green fodder yield and its contributing traits. The estimates of Phenotypic Coefficient of Variation (PCV) was higher than the Genotypic Coefficient of Variation (GCV) for all the traits understudy (Table 1), which indicates the influence of environment on the expression of these traits. The highest value of PCV was observed for leaf stem ratio, green fodder yield and dry fodder yield. These results were in the accordance to the results obtained by Vamshi et al., (2022) [21] , Khan et al. (2015) [13,14] and Rohila (2020). Above results suggested that due to higher values of PCV and GCV for Leaf-Stem Ratio, and Dry Matter Yield, so selection for these traits will be effective in future for increasing the green fodder yield.
Heritability and genetic advance
Perusal from the Table 1 indicates that high heritability was present for the characters such as leaf stem ratio (86.3%), green fodder yield per day (75.9%). Similar results were reported by Phogat et al. (2017) [7,18] for leaf-stem ratio and green fodder yield per day. The highest genetic advance was observed for leaf-stem ratio (42.41%) and green fodder yield per day (33.03) and green fodder yield (24.29) whereas moderate genetic advance was recorded for dry fodder yield per day (14.74%). The low genetic advance was recorded for plant height (4. 84%) and dry fodder yield (10.14%). Khan et al. (2015) [13,14] also reported similar results in their study for heritability and genetic advance. In the present study, high heritability combined with high genetic advance as per cent of mean for leaf-stem ratio and green fodder yield per day. So, more focus should be directed towards the improvement of leaf stem ratio so that green fodder yield can be ultimately increased. From these results, it can be concluded that there is low environmental influence on these traits and genes act additively in the expression of these traits. Moderate or low heritability combined with low genetic advance were recorded for plant height and dry fodder yield which indicates that this trait is governed by non-additive gene action and there is a greater environmental influence on the expression of such traits.
Phenotypic correlation
Green fodder yield is a complex trait affected by the number of other traits which might have positive as well as negative effects on this trait. So, for the improvement of green fodder yield and its components, knowledge of association among different traits, effects and cause of relationship will be helpful for the selection of appropriate breeding method for increasing green fodder yield. Correlation analysis clearly revealed that the magnitude of phenotypic correlation is lower than the genotypic correlation but they showed similar trend in direction. Low phenotypic correlation means that the expression of these traits is influenced by the environment. Correlation coefficient among various traits is presented in the Table 2. Green fodder yield had significantly positive correlation with green fodder yield per day (0.869), dry matter yield (0.935) and dry matter yield per day (0.777) which indicates that direct selection for these traits will be helpful for the improvement of green fodder yield in Cowpea. Similar results were obtained by Khan et al. (2015) [13,14] , Rohila et al. (2019) [19] in sorghum, Mushtaq et al. (2013) [16] in oats and Devinder et al. (2022) in cowpea. The positive association between green fodder yield and dry matter yield observed in the present study is also in close agreement with Navaselvakkumaran et al. (2019) [17] , who reported significant positive correlation between green fodder yield and dry matter yield per plant in fodder cowpea, and with Akshitha et al. (2024) [1] , who recorded that green fodder yield was positively and significantly associated with dry fodder yield and dry fodder yield per plant per day in forage sorghum germplasm lines. Green fodder yield per day was positively significant correlation.
Phenotypic correlation
Conclusion
Selection criteria for dry fodder yield, plant height, leaf stem ratio and green fodder yield per day will be significant for the improvement of green fodder yield in the material under study.
References
- Akshitha NY, Kumari P, Pahuja SK, Kharor N, Mor VS, Amit, Phogat DS. Studies on correlation, path analysis and principal component analysis for yield, quality and seed parameters in forage sorghum. Range Manag Agrofor. 2024;45(2):255-263.
- Allard RW. Principles of Plant Breeding. New York: John Wiley & Sons; 1960. p. 20-24, 88-89.
- Amandeep R, Kapoor R, Singh G. Genetic variability and association study among exotic germplasm accessions in fodder oats (Avena sativa L.). Forage Res. 2021;46(4):332336.
- Walp.). Int J Curr Microbiol Appl Sci. 2018;7:3013-3023.
- Burton GW, DeVane EH. Estimating genetic variability in tall fescue (Festuca arundinacea) from replicated clonal material. Agron J. 1953;45:478-481.
- Chopra VL. Plant Breeding: Theory and Practice. 2nd ed. New Delhi: Oxford & IBH Publishing Co. Pvt. Ltd.; 2000. p. 10.
- Phogat DS, Panchta R, Kumari P, Niwas R, Arya S. Variability, correlation and path analysis studies in fodder cowpea (Vigna unguiculata (L.) Walp.). Trends Biosci. 2017;10(3):1130-1132.
- Denton OA, Nwangburuka CC. Heritability, genetic advance and character association in six yield-related characters of Solanum anguivi. Asian J Agric Res. 2011;5:201-207.
- Singh DP, Jain M, Goyal M. Assessment of variability and association analysis for forage traits in cowpea (Vigna unguiculata (L.) Walp.). Forage Res. 2022;48(3):315-319.
- Dewey DR, Lu HH. A correlation and path coefficient analysis of components of crested wheatgrass seed production. Agron J. 1959;51:515-518.
- Hanson CH, Robinson HF, Comstock RE. Biometrical studies on yield in segregating populations of Korean lespedeza. Agron J. 1956;48(6):268-272.
- Johnson HW, Robinson HF, Comstock RE. Genotypic and phenotypic correlations in soybean and their implications in selection. Agron J. 1955;47:477-483.
- Khan H, Viswanatha KP, Sowmya HC. Study of genetic variability parameters in cowpea (Vigna unguiculata (L.) Walp.) germplasm lines. Bioscan. 2015;10(2):747-750.
- Khan S, Ali F, Shah S. Genetic variability and correlation studies for fodder yield and its components in cowpea (Vigna unguiculata L. Walp.). Sarhad J Agric. 2015;31(4):212-220.
- Sahu M. Studies on genetic architecture through variability parameters and association analysis in cowpea (Vigna unguiculata (L.) Walp.). Bangladesh J Bot. 2021;50(3):557564.
- Mushtaq A, Gul Z, Mir SD, Dar ZA, Dar SH, Shahida I, Ganaie A. Estimation of correlation coefficient in oats ( L.) for forage yield, grain yield and their contributing traits. Int J Plant Breed Genet. 2013;7(3):188-191.
- Navaselvakkumaran T, Babu C, Sudhagar R, Sivakumar SD. Studies on interrelationship and path coefficient analysis of fodder yield and yield component traits in fodder cowpea (Vigna unguiculata L. Walp.). Electron J Plant Breed. 2019;10(2):1110-1117.
- Phogat DS, Kumar S, Singh B. Genetic variability and correlation studies for fodder yield and quality traits in cowpea (Vigna unguiculata L. Walp.). Forage Res. 2017;43(1):45-52.
- Rohila N, Arya S, Kumari P, Pinki. Correlation and path coefficient analysis of various sorghum genotypes (Sorghum bicolor (L.) Moench) for quality traits. Electron J Plant Breed. 2019;11:306-309.
- Shivamogga: University of Agricultural and Horticultural Sciences; 2020. p. 1-110.
- Vamshi SS, Subramanian A, Ezhilarasi T, Gurusamy K, Ganesan KN. Analysis of genetic parameters, trait association and genetic diversity in fodder cowpea (Vigna unguiculata (L.) Walp.). Electron J Plant Breed. 2022;13(2):361-368.
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