ASSESSMENT OF GENETIC VARIABILITY AMONG SOYBEAN EXOTIC GENOTYPES FOR ADAPTABILITY AND YIELD
DOI:
https://doi.org/10.54112/bcsrj.v2023i1.298Keywords:
Soybean, exotic, varaition, correlation, adaptabilityAbstract
Comprehensive research was performed in the experimental area in Plant Breeding and Genetics situated in the University of Agriculture Faisalabad to estimate the analysis of variance and correlation of the soybean exotic accessions conducting a randomized complete block design comprising four check varieties. All recommended cultural and agronomic practices were followed homogenously for each experimental genotype during the study. The data for various morphological and phonological characters were recorded from sowing to harvesting and was subjected to measure the analysis of variance of amplified block design and analysis of simple correlation. The analysis of variance revealed that accessions were significantly dissimilar with one another parameter except for days to germination. The findings indicated the variation in the experimental population, reporting the scope of improvement in these traits. The breeding material carries the different ranges of characters such as height of plant starting 14 to 57cm, hundred seed weight from 6 to 42g, number of pods in plant from 4 to 42, number of grains per plant from 8 to 96, germination days from 4 to 10, weight of fresh plant ranges 7 to 186g, maturity days 74 to 135, day to flowering from 24 to 54 and weight of seeds per plant was 9 to 89g. SUMTER, 9831, STARR, Maxcy, 9041, Leslie, ada, and Norman were identi9fied as promising genotypes i9n terms of high yield with better adaptability. Results concluded that considering the plant height, number of pods, and number of seeds are the promising traits for the selection standards and to attain soybean yield.
Downloads
References
Ahmad, Q., Akram, Z., Shabbir, G., Ijaz, S. S., Ullah, A., Rasool, G., Naeem, M., & Ilyas, M. (2019). 78. Estimation of genetic variability among different soybean genotypes for yield and quality traits under the agro-climatic condition of Rawalpindi–Pakistan. Pure and Applied Biology (PAB) 8, 762-767.
Edugbo, R. E., Nwofia, G. E., & Fayeun, L. S. (2015). An Assessment of Soybean (, L. Merrill) Grain Yield in Different Environments Using AMMI and GGE Biplot Models in Humidorest Fringes of Southeast Nigeria. Agricultura Tropica et Subtropica 48, 82-90.
Graham, P. H., & Vance, C. P. (2003). Legumes: importance and constraints to greater use. Plant physiology 131, 872-877.
IFRIM, S. E., HAS, I., & MURESANU, E. (2012). The stability of yield and quality characters in some soybean Glycine max (L. Merr.) genotypes. Research Journal of Agricultural Science 44, 67-71.
Iqbal, Z., Arshad, M., Ashraf, M., Mahmood, T., & Waheed, A. (2008). Evaluation of soybean [Glycine max (L.) Merrill] germplasm for some important morphological traits using multivariate analysis. Pakistan Journal of Botany 40, 2323-2328.
Khurshid, H., Baig, D., Jan, S., Arshad, M., & Khan, M. (2017). Miracle crop: the present and future of soybean production in Pakistan. MOJ Biol Med 2, 189-191.
Kuswantoro, H. (2019). Performance, similarity and genetic parameters of agronomical characters of soybean [Glycine max (L) Merrill.] germplasms. Agriculture and Natural Resources 53, 228-236.
Malik, M. A., Cheema, M. A., Khan, H. Z., & Wahid, M. (2006). Growth and yield response of soybean (Glycine max L.) to seed inoculation and varying phosphorus levels. J. Agric. Res 44, 47-53.
Malik, M. F. A., Ashraf, M., Qureshi, A. S., & Ghafoor, A. (2007). Assessment of genetic variability, correlation and path analyses for yield and its components in soybean. Pakistan Journal of Botany 39, 405.
Marchiori, R., Hamawaki, O. T., Jorge, G. L., Mundim, F., Nogueira, A. P. O., Hamawaki, R. L., & de Sousa, L. B. (2015). Adaptability and stability of transgenic soybean lines and cultivars in the Brazilian macroregion 3 assessed by using parametric and nonparametric methods. African Journal of Biotechnology 14, 3248-3256.
Matei, G., Benin, G., Woyann, L. G., Dalló, S. C., Milioli, A. S., & Zdziarski, A. D. (2017). Agronomic performance of modern soybean cultivars in multi-environment trials. Pesquisa Agropecuária Brasileira 52, 500-511.
Pearson, K. (1956). Karl Pearson's early statistical papers. University Press.
Rehman, M., Khaliq, T., Ahmad, A., Wajid, S. A., Rasul, F., Hussain, J., & Hussain, S. (2014). Effect of planting time and cultivar on soybean performance in semi-arid Punjab. Pakistan. Global J. Sci. Front. Res. Agric. Vet 14, 41-45.
Saba, I., Sofi, P. A., Zeerak, N., Mir, R., & Gull, M. (2017). Using augmented design for evaluation of common bean (Phaseolus vulgaris L.) germplasm. International Journal of Current Microbiology and Applied Science 6, 246-254.
Shah, T., Zaffar, N., Kalsoom, A. I., & Jalal, A. (2017). Yield and quality traits of soybean cultivars response to different planting windows. International Journal of Statistics and Actuarial Science 1, 55-59.
Silva, K., Bruzi, A., Zambiazzi, E., Soares, I., Pereira, J., & Carvalho, M. (2017). Adaptability and stability of soybean cultivars for grain yield and seed quality. Genetics and Molecular Research 16.
Sousa, L., Hamawaki, O., Nogueira, A., Batista, R., Oliveira, V., & Hamawaki, R. (2015). Evaluation of soybean lines and environmental stratification using the AMMI, GGE biplot, and factor analysis methods.
Verma, N., & Izhar, T. (2017). Seasonal variations in soybean (Glycine max L. Merrill) genotypes under different environments. Journal of Pharmacognosy and Phytochemistry 6, 1326-1329.
Zhang, J., Song, Q., Cregan, P. B., Nelson, R. L., Wang, X., Wu, J., & Jiang, G.-L. (2015). Genome-wide association study for flowering time, maturity dates and plant height in early maturing soybean (Glycine max) germplasm. BMC genomics 16, 1-11.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 H RAZA, Z AHMED, M HASSAN, S SARWAR, S SALEEM, S SHAZAD, H QAMAR, M ALTAF, AR MALLHI, W SABIR, M AQEEL, AU REHMAN
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.