HARNESSING THE GENETIC VARIABILITY AND TRAITS ASSOCIATION FOR MAIZE (ZEA MAYS L.) IMPROVEMENT

A. PANDEY¹, B. SINGH²*
¹Department of Genetics and Plant Breeding, Faculty of Agricultural Science and Technology, AKS University, Satna, 485001, Madhya Pradesh, India
²Department of Genetics and Plant Breeding, Faculty of Agricultural Science and Technology, AKS University, Satna, 485001, Madhya Pradesh, India
* Corresponding Author : vinee.rajput@gmail.com

Received : 10-06-2022     Accepted : 22-09-2022     Published : 30-09-2022
Volume : 14     Issue : 9       Pages : 11665 - 11668
Int J Agr Sci 14.9 (2022):11665-11668

Keywords : Genetic variability, Heritability, Correlation, Path analysis
Academic Editor : Namrata Dwivedi, Dr Avinash Singode, Dmello Basil Rudolph
Conflict of Interest : None declared
Acknowledgements/Funding : Authors are thankful to Department of Genetics and Plant Breeding, Faculty of Agricultural Science and Technology, AKS University, Satna, 485001, Madhya Pradesh, India
Author Contribution : All authors equally contributed

Analysis of variance (ANOVA) indicated that the mean sum of squares due to genotypes were highly significant for all the traits. The magnitude of GCV and PCV was observed high for the characters viz., harvest index followed by 100 seeds weight, days to 50% maturity, biological yield/plant and seed yield/plant. It indicates that selection of desired germplasm for these traits may be worthwhile for improving seed yield in future breeding programme. Broad sense heritability was estimated for all the characters under study. High heritability was observed for most of the traits and it was noted highest for cob ear weight, biological yield per plant, seed yield per cob, number of seeds per cob, days to 50% maturity, 100 seeds weight, days to 50% tessling, shelling percent and seed yield per plant. Seed yield per plant shows significant positive correlation with seed yield per cob and harvest index. Seed yield per plant shows significant negative correlation with days to 50% tessling, days to 50% silking. The maximum direct positive genotypic path on grain yield per plant was observed in followed by seed yield per cob, shelling percent, 100 seeds weight, number of leaves per plant, number of seeds per cob, number of rows per cob, cob ear weight, number of cobs per plant, plant height and days to 50% tessling. Maximum direct negative effect on grain yield per plant was observed in followed by harvest index, biological yield per plant, cob length, days to 50% maturity, days to 50% silking and cob diameter

1. Anwar T.S., Abellandsa A.L. and Cauny R.L. (2009) Agron. Abstr. American Soc. Agron., 82, 391-393.
2. Bhatiya F., Bajaj K. and Prasanna B.M. (2006) Euphytica, 129.
3. FAOSTAT (2016) Agriculture data, agricultural production. Retrieved from http://faostat.fao.org/site/567/
4. Choudhary M., Cochran D. and Cox H. (2015) Orissa J. Agric. Res., 5, 10-16.
5. Desheva B., Singh S.V. and Shashi J.P. (2015) Orissa J. Agric. Res., 5(1/2), 10-16.
6. Chaitali G. and Bini P. (2007) Functional Plant Bot., 30, 239-264.
7. Hushan S., Shariflou M.R. and Sharp P. (2013) Maydica, 49(2), 97-103.
8. Jhonson S.K., Johnson R.R. and Boyer J.S. (1955) Agron. J., 70, 678-688.
9. Kaddem M., Kabra N. and Rao N.Y. (2014) Transactions of Indian Society of Desert Technology and University Centre of Desert Studies, 10, 97-99.
10. Kalimullah H.S., Geetha K. and Ibrahim S.M. (2012) Ele. J. Plant Breed., 20(1), 1067-1072.
11. Mehandi S., Singh C.M. and Kushwaha V.K. (2013) The Bioscan, 8(4), 1481-1484.
12. Mehandi S., Singh I.P., Bohra A. and Singh C.M. (2015) Legume Research, 38(6), 758-762.
13. Kamani B., Magari R. and Kang M.S. (2009) Genotype-environment interaction: Progress and prospects. In M. S. Kang (Ed.), Quantitative genetics, genomics, and plant breeding. CABI Publications, Wallingford, Oxon, UK, 221-243.
14. Mecha N., Lal H. and Kumar G. (2014) Crop Sci., 43, 2018-2027.
15. Rajdeep S., Padmanaban J. and Manirajan S. (2014) Int. J. Plt. Sci., 5(1), 290-29.
16. Rajpoot A.A., Fahmi A.I. and Salma S.A. (2013) J. Genet. Plant Breed., 53, 119-127.
17. Shah K., Praveenkumar B. and Sridevi O. (2017) Trends Biosci., 7(16), 2279-2290.
18. Sharaan G., Prashanth Y., Narsimha R.V., Sudheer K.S. and Venkateshwara R.P. (2017)) Intl. J. Appl. Biol. Pharma. Technol., 5(1), 257-260.