Jamila Dirbas * ⁽¹⁾

(1). Cotton Research Administration, Aleppo, Syria

(*Corresponding author: Dr. Jamila Dirbas. E-Mail: jamila.dirbas@gmail.com ).

Received: 30/12/2022         Accepted: 31/01/2023

Abstract: 

The experiment was carried out at Jub Ramla Cotton Research Station during the seasons 2020, 2021 and 2022 according at a randomized complete block design with three replications, with the aim of studying the components of variation among local cotton strains and evaluating their performance to reach a new variety. Results of ANOVA analysis showed significant differences among the genotypes (strains and control variety) of the studied traits (productivity, lint percentage, and boll weight) for the three seasons, individually and collectively, except for the boll weight during the 2021 season. Environmental variance played the largest role in the appearance of the productivity trait, while genetic variance was the major contributor to the appearance of the lint percentage and boll weight. This was evident in the heritability (broad sense) values, which ranged from low for productivity, medium for boll weight, and high for lint percentage. Results of meta-analysis indicated the superiority of strains 32 (Aleppo 118 × Coker 139) and 29 (Aleppo 118 × Coker 139) for productivity, strain 42 (Aleppo 118 × Raqqa 5) for lint percentage, and strains 28 (Aleppo 118 × Coker 139) and 32 (Aleppo 118 × Coker 139) for boll weight, depending on their performance. Therefore, it can be tested in multi locations and large scales within field’s farmers to confirm its superiority and select the best one to develop a new high-yielding variety.

Keywords: Cotton, Variance Components, Diallel Cross, Local Cotton Strains, Productivity.

Full paper in Arabic: pdf