Abstract
Background: The selection of genotypes in breeding programs relies on accurate estimates of heritability for variables relevant to yield. The better genotypes may be chosen rapidly using statistical estimate. Seventeen advanced breeding lines and three commercial bread wheat (Triticum aestivum L.) genotypes (used as checks) were assessed regarding their genetic characteristics for yield-related traits in the cur-rent study.Methods: Grain yield's correlation with several possible qualities was investigated and compared to regional controls.Results: The results showed that the peduncle length was positively correlated with the spike length, plant height, and total number of spikes. There was a favorable correlation between grain yield and spike count. The number of tillers per square meter was favorably connected with days to maturity but nega-tively correlated with grain weight, moisture percentage, and gluten content. The percentage of protein and gluten also declined with the increasing quantity of grains in each spike. Weight per 1000 grains was favorably connected with moisture percent and negatively correlated with days to maturity. Day of matu-rity was positively correlated with yield, whereas day of blooming was negatively correlated. The number of tillers m-2 had strong heritability and rapid genetic improvement. The number of grains per spike, plant height, 1000-grain weight, peduncle length, days to maturity, and protein percentage all demon-strated high broad sense heritability and moderate genetic advance, whereas spike length and starch per-centage both displayed low heritability and poor genetic advance. The number of spikes per plant, plot yield, days to flowering, moisture%, and gluten% all showed moderate heritability with modest genetic progress.Conclusion: Following from the above, it is recommended that plant features with high heritability and genetic advancement be given preference in selection, while qualities with a negative link to grain output be subjected to cautious selection.(c) 2022 The Author(s). Published by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).