Association analysis of yield and fibre quality characters in interspecific population of cotton (Gossypium spp.)
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Seed cotton yield and fibre quality are controlled by polygenes and highly influenced by the environment. Hence, selection merely based on yield is not effective. In order to enhance the yield potential of the cotton varieties, an understanding of the relationship among different characters is of more importance. Knowledge on the direct contribution of different characters to yield would be highly important for formulating a selection programme. Correlation and path coefficient analysis were carried out using 62 progenies of an interspecific backcross population (Gossypium hirsutum L. var. KC 3 x Gossypium barbadense L. var. Suvin) x KC 3. Genotypic correlation studies revealed that number of bolls per plant, boll weight, number of sympodia per plant, number of seeds per boll, seed index, lint index, days to first flowering, and plant height have a significant positive association with seed cotton yield per plant. Path coefficient analysis showed that number of bolls per plant contributed maximum direct effect to seed cotton yield per plant followed by boll weight and lint index. The highest positive indirect effect on seed cotton yield per plant was also observed through number of bolls per plant. This indicated that seed cotton yield per plant was highly influenced by number of bolls per plant directly and indirectly. Thus, a greater emphasis should be given to number of bolls per plant, boll weight, and lint index for increasing seed cotton yield per plant.
Key wordsbackcross correlation cotton direct effects path analysis seed cotton yield
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- Altaher AF, Singh RP. 2003. Yield components analysis in upland cotton (Gossypium hirsutum L.). J. Ind. Soc. Cotton Improv. 28: 151–157Google Scholar
- Annapurve SN, Deshmukh GS, Kausale SP, Kale UV. 2007. Correlation study of yield contributing characters in American cotton. J. Cotton Res. Dev. 21: 16–20Google Scholar
- Do-Thi-Ha-An, Ravikesavan R, Iyanar K. 2008. Genetic advance and heritability as a selection index for improvement of yield and quality in cotton. J. Cotton Res. Dev. 22: 14–18Google Scholar
- Goulden CH. 1959. Method of Statistical Analysis, 1st ed, Asia Publishing House, CalcuttaGoogle Scholar
- Kalpande HV, Bhale SD, Kale UV, Deshmukh JD, Gite VK, Kakde SS. 2008. Genetic variability and correlation studies in F3 generation of cotton (Gossypium hirsutum L.). Intl. J. Plant Sci. 3: 94–97Google Scholar
- Leela Pratap K, Chenga Reddy V, Rama Kumar PV, Rao VS. 2007. Correlation and path analysis for yield and yield component traits in cotton (Gossypium hirsutum L.). Andhra Agric. J. 54: 31–35Google Scholar
- Reddy YR, Reddy CVCM. 2008. Association and path analysis in inter and intraspecific hybrids of cotton. Plant Arch. 8: 355–357Google Scholar
- Sakthi AR, Kumar M, Ravikesavan R. 2007. Variability and association analysis using morphological and quality traits in cotton (Gossypium hirsutum L.). J. Cotton Res. Dev. 21: 148–152Google Scholar
- Samba Murthy JSV, Chamundeswari N. 2006. Yield component analysis in introgressed lines of upland cotton (Gossypium hirsutum L.). J. Cotton Res. Dev. 20: 1–4Google Scholar
- Singh RK, Choudhary BD. 1979. Biometrical methods in quantitative genetic analysis. 2nd Ed. Kalyani Publishers, New DelhiGoogle Scholar