EL Shal, M., Arab, S., Mohamed, M. (2022). Assessment of Variability, Heritability and Genetic Advance Toward some Bread Wheat Genotypes for Drought Tolerance Indices. Journal of Plant Production, 13(1), 25-31. doi: 10.21608/jpp.2022.119631.1092
M. H. EL Shal; S. A. Arab; M. M. Mohamed. "Assessment of Variability, Heritability and Genetic Advance Toward some Bread Wheat Genotypes for Drought Tolerance Indices". Journal of Plant Production, 13, 1, 2022, 25-31. doi: 10.21608/jpp.2022.119631.1092
EL Shal, M., Arab, S., Mohamed, M. (2022). 'Assessment of Variability, Heritability and Genetic Advance Toward some Bread Wheat Genotypes for Drought Tolerance Indices', Journal of Plant Production, 13(1), pp. 25-31. doi: 10.21608/jpp.2022.119631.1092
EL Shal, M., Arab, S., Mohamed, M. Assessment of Variability, Heritability and Genetic Advance Toward some Bread Wheat Genotypes for Drought Tolerance Indices. Journal of Plant Production, 2022; 13(1): 25-31. doi: 10.21608/jpp.2022.119631.1092
Assessment of Variability, Heritability and Genetic Advance Toward some Bread Wheat Genotypes for Drought Tolerance Indices
1National Gene Bank, Agriculture Research Center (ARC, Giza, Egypt
2Wheat Research Department, Field Crop Research Institute, Agricultural Research Center (ARC), Giza, Egypt.
Abstract
Twenty genotypes as well as five commercial cultivars (Triticum aestivum L.) were evaluated under normal and water stress conditions to identify drought tolerant bread wheat genotypes based on yield traits and drought tolerance indices. Analysis of variance for mean square of genotypes showed high significance of all studied genotypes for the traits. The mean performance showed that the highest yield value was recorded by Giza 168 followed by Giza 171 under normal and water stress irrigation. The values of all studied traits for phenotypic coefficient of variation (PCV) were higher than genotypic coefficient of variation (GCV). The maximum PCV and GCV were recorded for number of spikes m-2, the estimates of broad-sense heritability showed that there was gradation for all the studied traits with values ranged from 25% to 92% and 30% to 91% under both treatments. Drought tolerance indices showed that Giza 171, Giza 168, Sids 12 and Sakha 94 were the best genotypes for drought tolerance with high mean productivity values under most drought indices. Data analysis of correlation coefficients between drought tolerance indices showed that it could be a good phenomenon for selection of genotypes having high stress tolerance by using the best selection indices.