Abstract
Abstract
Background
As the most widely cultivated fiber crop, cotton production depends on hybridization to unlock the yield potential of current varieties. A deep understanding of genetic dissection is crucial for the cultivation of enhanced hybrid plants with desired traits, such as high yield and fine fiber quality. In this study, the general combining ability (GCA) and specific combining ability (SCA) of yield and fiber quality of nine cotton parents (six lines and three testers) and eighteen F1 crosses produced using a line × tester mating design were analyzed.
Results
The results revealed significant effects of genotypes, parents, crosses, and interactions between parents and crosses for most of the studied traits. Moreover, the effects of both additive and non-additive gene actions played a notably significant role in the inheritance of most of the yield and fiber quality attributes. The F1 hybrids of (Giza 90 × Aust) × Giza 86, Uzbekistan 1 × Giza 97, and Giza 96 × Giza 97 demonstrated superior performance due to their favorable integration of high yield attributes and premium fiber quality characteristics. Path analysis revealed that lint yield has the highest positive direct effect on seed cotton yield, while lint percentage showed the highest negative direct effect on seed cotton yield. Principal component analysis identified specific parents and hybrids associated with higher cotton yield, fiber quality, and other agronomic traits.
Conclusion
This study provides insights into identifying potential single- and three-way cross hybrids with superior cotton yield and fiber quality characteristics, laying a foundation for future research on improving fiber quality in cotton.
Publisher
Springer Science and Business Media LLC
Reference65 articles.
1. Abdelghany AM, El-Banna AA, Salama EA, et al. The individual and combined effect of nanoparticles and biofertilizers on growth, yield, and biochemical attributes of peanuts (Arachis hypogea L.). Agronomy. 2022;12(2):398. https://doi.org/10.3390/agronomy12020398.
2. Abdulhamed ZA, Faiath SE, Ajaj HA, et al. Genetic parameters estimates through line×tester analysis for the stay green, yield and quality in maize (Zea mays L.). Ann Rom Soc Cell Biol. 2021;25:8597–611.
3. Akaogu I, Badu-Apraku B, Adetimirin V, et al. Genetic diversity assessment of extra-early maturing yellow maize inbreds and hybrid performance in Striga-infested and Striga-free environments. J Agric Sci. 2013;151(4):519–37. https://doi.org/10.1017/S0021859612000652.
4. Akter T, Islam A, Rasul M, et al. Evaluation of genetic diversity in short duration cotton (Gossypium hirsutum L.). J Cotton Res. 2019;2:1. https://doi.org/10.1186/s42397-018-0018-6.
5. Alwin DF, Hauser RM. The decomposition of effects in path analysis. Am Sociol Rev. 1975;40:37–47.