International Journal of Agricultural and Applied Sciences (IJAAS)
5thInternational Conference on "Climate Change and Its Impact (CCI 2023)"
International Journal of Agricultural and Applied Sciences, December 2022, 3(2):19-21
ISSN: 2582-8053
https://doi.org/10.52804/ijaas2022.323
Research Article
Correlation study of yield attributing traits in maize (Zea mays L.)
Zalak Chauhan1*, S. N. Shah2, Chinki S. Chaudhary3 and Parthsinh Rahevar1
1GUNI – Kantaben Kashiram Institute of Agriculture Sciences and Research, Ganpat University, Gujrat, India
2Department of Agronomy, B.A.C.A., A.A.U., Anand, Gujrat, India
3Department of Agronomy, N.M.C.A., N.A.U., Navsari, Gujrat, India
Corresponding author e-mail: zalakchauhan8@gmail.com
(Received: 14/06/2022; Revised: 01/010/2022; Accepted: 20/10/2022)
ABSTRACT
Trial was led at College Agronomy Farm, B. A. College of Agriculture, Anand Agricultural University, Anand, Gujarat, India during rabi season of the years 2019-20 and 2020-21 to study the association of yield attributing traits in maize under INM treatments. Number of cobs per plant sowing highly significant positive correlation with the all-other traits under evaluation. Number of cobs per plant and Number of seeds per cob in the year 2019-20 showing positive significant genotypic correlation with the grain yield per plant whereas phenotypic correlation is non-significant. Evaluation of the maize with the same treatments for the two subsequent years and getting same result, suggesting efficacy of the experimental selection and validating the results. This study will provide early yield prediction by considering effect of INM treatments on yield attributes.
Keywords: Correlation, Maize, INM and Selection.