Using triple test cross analysis to estimate genetic components and genetic correlation for some quantitative traits in cotton

Soliman, A. M.; Mabrouk, A. H.; Mahmoud, Badeaa A.; Darwesh, A. E. I.

doi:10.21608/aasj.2024.284046.1164

Using triple test cross analysis to estimate genetic components and genetic correlation for some quantitative traits in cotton

Document Type : Research article

Authors

Cotton Research Institute, Agricultural Research Center, Giza, Egypt

10.21608/aasj.2024.284046.1164

Abstract

The triple test cross analysis was used to study different components of genetic variation between 75 Triple Test Cross (TTC) families and their parents, F1 and F2 in one cotton cross (Giza 94 × Australy) for yield, its components and fiber quality traits. The 75 TTC families (25 L1, 25 L2 and 25 L3) were sown at Sakha Experimental Station, Agriculture Research Center, Kafr El-Sheikh government, Egypt during 2020, 2021, 2022 and 2023 growing seasons. The results showed that mean squares between L1, L2 and L3 (TTC) was significant for all studied traits, except boll weight, micronaire reading and fiber strength, while between L1 and L2 families were found to be significant for seed cotton yield/plant, lint cotton yield/plant and lint index. Overall epistatic gene effects had significant differences for lint cotton yield/plant, fiber length and uniformity index. The (i) fixable type (additive × additive) components of epistasis were more important than (j + l) non-fixable one in the inheritance of all studied traits, except lint index. Both additive and dominance components were significant for all the studied traits. Degree of dominance (√H/D) was less than the unity for seed cotton yield/plant, lint cotton yield/plant, seed index, fiber length, micronaire reading and uniformity index which showed over-dominance (greater than unity). Further, the correlation coefficient between the sum (L1i + L2i) and difference (L1i - L2i) was found to be negative and insignificant for all studied traits, except fiber length, fiber strength and uniformity index, which were positive and non-significant. Genotypic correlation was positive and significant between yield trait and some of its components. This could help cotton breeders to use indirect selection to increase yield productivity.

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