Correlation and path coefficient analysis of polygenic traits of upland cotton genotypes grown in Zimbabwe

Abstract

Cotton is a very important crop that consists of traits with different associationship due to genetic and environmental factors. In order to determine the degree of association between seed cotton yield and important traits, a study was done using an RCBD experiment with ten genotypes. Seed cotton yield, GOT, lint yield, boll weight, bolls per plant, seed weight, plant height, fibre length, elongation, fineness and strength data were collected and analysed. Genotypic and phenotypic correlation analysis was done in Meta R. Estimation of direct and indirect effects was done using path analysis in Microsoft Excel. Analysis of variance revealed significant differences for boll weight, seed weight, GOT and plant height. Seed cotton yield was correlated with lint yield (r = 0.71***), fibre elongation (r = 0.54***), bolls per plant (0.27***), seed weight (r = 0.22***), strength (r = 0.21***) and fineness (r = 0.13*) at genotypic level. Ginning outturn was correlated with lint yield (r = 0.70***), elongation (r = 0.60***) and strength (r = 0.50***). Boll weight was correlated with seed weight (r = 0.56***) whilst plant height was highly associated with fibre strength (r = 0.58***). The adjusted R Square (0.98), low standard error (0.12) and low residual effect (R = 0.01) in regression analysis indicated that ABOUT THE AUTHOR Chapepa Blessing is a plant breeder working at Cotton Research Institute of Zimbabwe as a cotton breeder. His research areas are developing, implementation analyzing data and information dissemination of the national cotton breeding program in the Department of Research and Specialist Services of the Ministry of Agriculture in the country. Other research interests include crop modelling using remote sensing technology and molecular tool applications. Marco Mare is also plant breeder at Cotton Research Institute and is involved in developing, implementation analyzing data and information dissemination of the national cotton breeding program. Washington Mubvekeri is the head of Cotton Research Institute and is responsible for all cotton research programs in the country.

Genetic variability, correlation and path analysis of upland cotton (Gossypium hirsutum L.) germplasm for seed cotton yield

“…Therefore, selection for these characters will aid in choosing genotypes with better seed cotton output per plant. Such features were also observed by Gnanasekaran et al (2018), Nawaz et al (2019) and Chapepa et al (2020). Internode length (r = 0.025) and the number of monopodia per plant (r = 0.078) showed non-significant positive correlation to seed cotton yield.…”

Salinity indices and path analysis in Egyptian long-staple cotton cultivars

“…Staple length and fiber strength were negatively linked with each other. (Chapepa et al, 2020) found that seed cotton yield was correlated with lint yield, bolls per plant, seed weight, strength, lint% and fineness at genotypic level. Ginning outturn was correlated with lint yield, and strength.…”

“…The boll weight followed by the number of bolls per plant, and the number of sympodia per plant were positively correlated with seed cotton yield per plant in the F 2 -populations (Joshi and Patil, 2018). The simple linear correlation and path coefficient analysis showed that seed cotton yield was highly significantly and positively correlated with most traits (Ahmed et al, 2019;Chapepa et al, 2020). The boll weight and number of bolls per plant had highest direct effect on seed cotton yield per plant, whereas traits like plant height, UHML, fiber strength and lint index had direct negative effect on yield (PG et al, 2018), and fiber elongation, fiber strength, and fiber fineness have direct positive effects on seed cotton yield (Queiroz et al, 2019).…”