ISSN : 0975-3710
EISSN : 0975-9107
V.V. UJJAINKAR1*, V.D. PATIL2
1Department Agricultural Botany, College of Agriculture, Dr Panjabrao Deshmukh Krishi Vidyapeeth, Akola, 444 104, MS, India
2Ex. Dean, Faculty of Agriculture, Dr Panjabrao Deshmukh Krishi Vidyapeeth, Akola, 444 104, MS, India
* Corresponding Author : vvujjainkar@gmail.com
Received : 01-05-2021 Accepted : 27-05-2021 Published : 30-05-2021
Volume : 13 Issue : 5 Pages : 10771 - 10775
Int J Agr Sci 13.5 (2021):10771-10775
Keywords : Combining ability, Cotton, Diallel, General and Specific Combining Ability
Conflict of Interest : None declared
Acknowledgements/Funding : Authors are thankful to research facilities and support provided by the Senior Research Scientist, (AICRP on Cotton), Cotton Research Unit and Department of Agricultural Botany, College of Agriculture, Dr Panjabrao Deshmukh Krishi Vidyapeeth, Akola, 444 104 (MS) India
Author Contribution : All authors equally contributed
Crop improvement deals essentially with selection of superior individuals within genetically heterogeneous populations. The basic objective of upland cotton genotypes is sought that meet the needs of three sectors of the economy viz., cotton growing community, the ginning industries and the textile complex. The ten upland cotton (Gossypium hirsutum L.) genotypes were crossed in complete diallel (10x10) excluding reciprocals to obtain the forty five F1 hybrid combinations were evaluated in two sets of environments on experimental farm of the Cotton Research Unit, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola (MS). The experimental design was randomized block design with three replications with repetition over two sets of environments. The analysis of variance was performed to test the significance of difference between the progenies for all the traits under investigation. The mean sum of squares due to GCA and SCA were highly significant for all the characters indicating the importance of both additive and non – additive gene effects in expression of these characters. The predictability ratio indicated that all most all the characters were found to be governed by additive components of genetic variance whereas plant height, seed cotton yield per plant, seed index and fibre strength were found to be controlled by additive as well as non–additive genetic components of genetic variance. In the present investigation the parents AKH–84635 and LRA–5166 expressed favorable GCA effects for most of the characters over the environments. Most of the cross combinations showed positive and significant specific combining ability effects for seed cotton yield per plant. Maximum positive significant SCA effects were recorded for seed cotton yield per plant in the cross by KH–118 x AKH–62 (17.15) followed by AKH–84635 x LRA–5166 (11.68) and JLH–1594 x AKH–24 (8.83). The crosses viz., AKH-44 x LRA-5166 and JLH-1594 x LRA-5166 may be advanced in further generations for development of superior genotypes
1. AbdurakhmonovI Y., Kohel R.J., Yu J.Z., Pepper A.E., Abdullaev A.A., Kushanov F.N., Salakhutdinov I.B., Buriev Z.T., Saha S., Scheffler B.E., Jenkins J.N. and Abdukarimov A. (2008) Genomics, 92 (2), 478-487.
2. Anonymous (2020) Annual Report 2020, AICRP on Cotton, ICAR-CICR., Coimbatore (TN)
3. Bhatade S.S. (1982) Cotton Develop.,11 (4), 31-34.
4. Chaudhari P.N., Borole D.N., Patil S.S. and Deshmukh M.P. (1993) J. Maharashtra agric. Univ.,18(3), 418-420.
5. Deshpande L.A., Baig K.S. and Nagare V.P. (2003) J. Maharashtra agric. Univ., 28(1), 36-39.
6. El Adl A.M., El Diasty Z.M., Awad A.A., Zenia A.M. and El Bary A.M.A. (2001) Egyptian J. Agril.Res.,79(2), 625-646.
7. El Debaby A.S., Kassem M.M., Awaad M.M., Hemaida G.M. (1997) Egyptian J. Agril. Res., 75(3), 753-757.
8. Fang D.D., Hinze L. L., Percy R.G., Li P.D. and Dewayne T.G. (2013) Euphytica, 191(3), 391.
9. Griffing B. (1956) Aust.J.Biol.Sci., 9, 463-493.
10. Jagtap D.R. and Kolhe A.K. (1987) Indian Soc. Cotton Improv. J., 12(1) , 5-10.
11. Kaushik L.S., Singh D.D. and Paroda R.S. (1984) Theor. Appl. Genet., 68(6), 487-491.
12. Nirania K.S., Chhabra B.S., Dutt Y. and Jain P.P. (2005) J. Cotton Res. Dev., 19(1), 21-26.
13. Panse V.G. and Sukhatme P.V. (1967) Statistical method for agricultural workers, ICAR Publication, New Delhi.
14. Patel U.G. and Mehta N.P. (1989) Cotton Dev.,18(3-4), 37-40.
15. Patil R.A., Chopde P.R. and Goud J.V. (1987 Indian J. Agric. Sci., 57(6), 402-406.
16. Patil U.G., Patel K.G., Maisuria A.T. and Chhimpi B.G. (1997) Gujarat Agric. Res. J., 23(1), 11-15.
17. Pavasia M.J.,Shukla P.T. and Patel U.G. (1999) J. Indian Soc. Cotton Improv., 24(1), 14-17.
18. Tyagi P., Gore M.A., Bowman D.T., Campbell B.T., Udall J.A., Kuraparthy V. (2014) Theor Appl Genetics, 127(2), 283-295.
19. Rakshe M. B., V. V. Ujjainkar and Pallavi Yergude (2019) Multilogic in Science, VIII (XXVIII) 131-135.
20. Sandhu B.S., Bhatia R.S., Singh A., Singh A., Verma M.M. and Virk D.S. and Chahal G.S. (1993) Heterosis breeding in Deshi cotton. Crop Improvement Society of India, Ludhiana, India.
21. Satange I. V. (1997) MSc Thesis, Dr Panjabrao Deshmukh Krishi Vidyapeeth, Akola, 444 104, Maharashtra, India.
22. Shummungavalli N. and Das L.D.V. (1995) Madras Agric. J., 82(6-8), 449-452.
23. Singh R.K. and Chaudhary B.D. (1985) Biometrical methods in Quantitative Genetics Analysis, Kalyani Publication, Ludhiana.
24. Sprauge G.F. and Tatum L.A.(1942) J. Amer. Soc. Agron., 4 (2) , 296-305.
25. Bharad S. (2004) PhD Thesis, Dr Panjabrao Deshmukh Krishi Vidyapeeth, Akola, 444 104, Maharashtra, India.
26. Tomar S.K. and Singh S.P. (1993) Indian J.Genet., 53 (1), 40-46.
27. Tuteja O.P. (2014) J. Cotton Res. Dev., 28(1), 1-6.
28. Ujjainkar V.V. and Patil V.D. (2020) International Journal of Agriculture Sciences, 12(12), 9991-9994.
29. Ujjainkar V.V., Patil V. D. and Moharil M.P. (2020) International Journal of Genetics, 12(6), 740-744.
30. Wendel J.F. and Albert V.A. (1992) Systematic Botany, 17(1), 115-143.
31. Xiaoli G., Yujie Q., Yinhua J., Shoupu H., Zhaoe P., Liru W. and Xiangming D. (2021) BMC Genomics, 22, 123.
32. Zareen Sarfraz, Muhammad Shahid Iqbal, Xiaoli Geng, Muhammad Sajid Iqbal, Mian Faisal Nazir, Haris Ahmed, Shoupu He, Yinhua Jia, Zhaoe Pan, Gaofei Sun, Saghir Ahmad, Qinglian Wang, Hongde Qin, Jinhai Liu, Hui Liu, Jun Yang, Zhiying Ma, Dongyong Xu, Jinlong Yang, Jinbiao Zhang, Zhikun Li, Zhongmin Cai, Xuelin Zhang, Xin Zhang, Aifen Huang, Xianda Yi, Guanyin Zhou, Lin Li, Haiyong Zhu, Baoyin Pang, Liru Wang, Junling Sun and Xiongming Du (2021) Frontiers in Plant Science, 12, 1-20.
33. Zhang Zheng Sheng, Li XianBi, Xiao YueHua, Luo Ming, Liu DaJun, Hunag Shun Li, Zhang FengXin (2003) Agricultural Sciences in China, 2(1), 13-18.
34. Zhou H., Zhang Y., Dong W.Q., Xu X.M. and Tang C.M. (2020) Photosynthetica, 59(1), 106-115.