COMBINING ABILITY ANALYSIS FOR MORPHOLOGICAL TRAITS IN BARLEY
Keywords:
barley, combining ability, GCA, SCA, hybrids, genetic potentialAbstract
Barley (Hordeum vulgare L.) is an important cereal crop cultivated globally for its various uses in food, feed, and beverage industries. Developing high-yielding barley cultivars with desirable agronomic traits is crucial for meeting the growing demands of a rising global population. This study employed a line × tester mating design to evaluate the combining ability and genetic potential of diverse barley lines for key morphological characteristics. The research aimed to identify superior parental combinations and promising F1 hybrids with high specific combining ability (SCA) for further breeding programs. A set of four diverse barley lines were crossed with three well-adapted testers. The resulting F1 hybrids, along with their parental lines, were evaluated for various morphological traits, including plant height, days to headings, 1000 grains weight, spike length, grains per spike, and grain yield per plant. Data analysis revealed significant variation among genotypes for all evaluated traits. General combining ability (GCA) and SCA effects were estimated, and promising lines and hybrid combinations exhibiting high GCA and SCA for desirable traits were identified. The findings of this study provide valuable insights into the genetic basis of morphological traits in barley and highlight the potential of line × tester analysis in identifying superior parental combinations for breeding programs aimed at developing improved barley cultivars with enhanced agronomic performance.
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Baumfeld Andre, E., Reynolds, R., Caubel, P., Azoulay, L., and Dreyer, N. A. (2020). Trial designs using real‐world data: the changing landscape of the regulatory approval process. Pharmacoepidemiology and drug safety 29, 1201-1212.
Begna, T. (2020). Major challenging constraints to crop production farming system and possible breeding to overcome the constraints. International Journal of Research Studies in Agricultural Sciences (IJRSAS) 6, 27-46.
Bohra, A., Saxena, K., Varshney, R. K., and Saxena, R. K. (2020). Genomics-assisted breeding for pigeonpea improvement. Theoretical and Applied Genetics 133, 1721-1737.
El Hanafi, S., Cherkaoui, S., Kehel, Z., Sanchez-Garcia, M., Sarazin, J.-B., Baenziger, S., and Tadesse, W. (2022). Hybrid seed set in relation with male floral traits, estimation of heterosis and combining abilities for yield and its components in wheat (Triticum aestivum L.). Plants 11, 508.
Ferioun, M., Srhiouar, N., Bouhraoua, S., El Ghachtouli, N., and Louahlia, S. (2023). Physiological and biochemical changes in Moroccan barley (Hordeum vulgare L.) cultivars submitted to drought stress. Heliyon 9.
Fonseca, J. M. O. (2021). Assessing the Genetic Variation, Performance, and Genomic Prediction of Grain Sorghum Hybrids Developed from US Public Breeding Programs, Texas A&M University.
Han, Y.-y., Wang, K.-y., Liu, Z.-q., Pan, S.-h., Zhao, X.-y., Zhang, Q., and Wang, S.-f. (2020). Research on hybrid crop breeding information management system based on combining ability analysis. Sustainability 12, 4938.
Katiyar, A., Sharma, A., Singh, S., Srivastava, A., and Vishwakarma, S. (2021). Combining ability analysis for yield traits in barley (Hordeum vulgare L.). Electronic Journal of Plant Breeding 12, 583-588.
Liliane, T. N., and Charles, M. S. (2020). Factors affecting yield of crops. Agronomy-climate change & food security, 9.
Lopes, M. A. (2023). Rethinking plant breeding and seed systems.
Mahmud, D. I., Abed Alsadek, M. S., and Omar, T. A. (2021). Combining Ability Analysis of F1 And F2 Generation in Flax Diallel Crosses. Journal of Plant Production 12, 423-428.
Medimagh, S., and Mansouri, S. Genetic Analysis for Seed Quality Traits in a Diallel Cross of Spring Barley. Crop Sci 53, 819-824.
Melchinger, A. E., Fernando, R., Stricker, C., Schön, C.-C., and Auinger, H.-J. (2023). Genomic prediction in hybrid breeding: I. Optimizing the training set design. Theoretical and Applied Genetics 136, 176.
Morales, N., Ogbonna, A. C., Ellerbrock, B. J., Bauchet, G. J., Tantikanjana, T., Tecle, I. Y., Powell, A. F., Lyon, D., Menda, N., and Simoes, C. C. (2022). Breedbase: a digital ecosystem for modern plant breeding. G3 12, jkac078.
Ober, E. S., Alahmad, S., Cockram, J., Forestan, C., Hickey, L. T., Kant, J., Maccaferri, M., Marr, E., Milner, M., and Pinto, F. (2021). Wheat root systems as a breeding target for climate resilience. Theoretical and Applied Genetics 134, 1645-1662.
Ovi, F. I., and Shova, R. J. (2023). The factual demand and the possibility of self-reliant in cotton cultivation in Bangladesh. Applied Sciences Research Periodicals 1, 19-35.
Rawat, M., Varshney, A., Rai, M., Chikara, A., Pohty, A. L., Joshi, A., Binjola, A., Singh, C. P., Rawat, K., and Rather, M. A. (2023). A comprehensive review on nutraceutical potential of underutilized cereals and cereal-based products. Journal of Agriculture and Food Research 12, 100619.
Rebouh, N. Y., Khugaev, C. V., Utkina, A. O., Isaev, K. V., Mohamed, E. S., and Kucher, D. E. (2023). Contribution of eco-friendly agricultural practices in improving and stabilizing wheat crop yield: A review. Agronomy 13, 2400.
Scott, M. F., Ladejobi, O., Amer, S., Bentley, A. R., Biernaskie, J., Boden, S. A., Clark, M., Dell’Acqua, M., Dixon, L. E., and Filippi, C. V. (2020). Multi-parent populations in crops: a toolbox integrating genomics and genetic mapping with breeding. Heredity 125, 396-416.
Swarup, S., Cargill, E. J., Crosby, K., Flagel, L., Kniskern, J., and Glenn, K. C. (2021). Genetic diversity is indispensable for plant breeding to improve crops. Crop Science 61, 839-852.
Ullah, M. A., Ahmed, M. A., Javed, I., Shafiq, M., Sherazi, S., and Waleed, R. (2024). Genetically modified crops global regulation: implications for food security and environmental sustainability. Journal of Life and Social Sciences 2024, 25.
Ullah, M. A., Farooq, A., Muhammad, S., Ahmed, M. A., Uzair, M., Raza, A., Kalyar, M. N. N., Kalyar, M. H. M., and Aroosa (2023). Phenotypic characterization of chickpea germplasms for heritability and association among traits. Journal of Life and Social Sciences 2023, 13.
Worku, M., De Groote, H., Munyua, B., Makumbi, D., Owino, F., Crossa, J., Beyene, Y., Mugo, S., Jumbo, M., and Asea, G. (2020). On-farm performance and farmers’ participatory assessment of new stress-tolerant maize hybrids in Eastern Africa. Field Crops Research 246, 107693.
Yu, K., Wang, H., Liu, X., Xu, C., Li, Z., Xu, X., Liu, J., Wang, Z., and Xu, Y. (2020). Large-scale analysis of combining ability and heterosis for development of hybrid maize breeding strategies using diverse germplasm resources. Frontiers in plant science 11, 660.
Zhang, A., Pérez-Rodríguez, P., San Vicente, F., Palacios-Rojas, N., Dhliwayo, T., Liu, Y., Cui, Z., Guan, Y., Wang, H., and Zheng, H. (2022). Genomic prediction of the performance of hybrids and the combining abilities for line by tester trials in maize. The Crop Journal 10, 109-116.
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Copyright (c) 2024 MNN KALYAR, MA ULLAH, A FAROOQ, MHM KALYAR, KD SHAH, A ABBAS (Author)
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