Open AccessEstimation of Heritability, Genes Number and Multivariate Analysis Using Non- segregation and Segregation Generations in Two Cotton Crosses
Author(s) -
E. F. El-Hashash,
W. M. B. Yehia
Publication year - 2021
Publication title -
asian journal of biochemistry, genetics and molecular biology
Language(s) - English
Resource type - Journals
ISSN - 2582-3698
DOI - 10.9734/ajbgmb/2021/v9i330221
Subject(s) - heritability , multivariate statistics , yield (engineering) , biology , gene , genetics , mathematics , statistics , physics , thermodynamics
This study was conducted to evaluate the heritability methods, the genes number equations and comparison between them, as well as multivariate analysis of cotton yield and its components traits in the two crosses G.85 x TNB and G.86 x Suvin. Broad sense heritability (BSH) using Mahmud & Kramer (1951), Burton (1951), Weber & Moorthy (1952), Modified Weber & Moorthy (1952), Briggs & Krowles (1967), Mather & Jinks (1971), Lawrence & Jinks (1973) and Kotecha & Zimmerman (1978) methods, as well as narrow sense heritability using Warner (1952) and Modified Warner (1952) methods were calculated. The methods of BSH and NSH showed high values (BSH 1 for all studied traits in the six populations. According to biplot and based on the all populations, the PCs with the highest variability showed positive correlation to yield and its components, but, they differed in their degree of significance/insignificant and consistency in quantity. The PC of the relationship between the six generations revealed that the most appropriate generations for selecting these traits were BC1 generation in the cross G.85 x TNB as well as F2 and BC1 generations in the cross G.86 x Suvin. Backcrossing may be done for 2–5 cycles (BC2 – BC5) at Suvin parent for improving cotton yield in Egypt.