Indian Journal of Agricultural Research
SCOPUSWeb of Science
  • Year: 2022
  • Volume: 56
  • Issue: 2

Character association and path analysis for yield components and biochemical traits in maize (Zea mays L.) genotypes

  • Author:
  • Prabhat Kumar Singh*, B. Sushma, Nidhi Kumari1
  • Total Page Count: 6
  • Page Number: 135 to 140

1Krishi Vigyan Kendra, Muzaffarpur(Additional), Dr. Rajendra Prasad Central Agricultural University, Pusa, Samastipur-848 125, Bihar, India

Department of Genetics and Plant Breeding, MSSSOA, Centurion University of Technology and Management, Paralakhemundi-761 211, Orissa, India

*Corresponding Author: Prabhat Kumar Singh, Department of Genetics and Plant Breeding, Centurion University of Technology and Management, Paralakhemundi-761 211, Orissa, India, Email: singhpk.gpb@gmail.com

Online Published on 09 May, 2022.

Abstract

Grain yield is a complex character so direct selection for yield as such can be misleading. Keeping in view, the present study aimed to assess the path coefficient analysis with correlation coefficient technique to establish the direct and indirect relationship between the yield and its component.

The present investigation carried out during kharif 2019 at Centurion University of Technology and Management, Odisha in randomized complete block design with 3 replication involving 20 maize genotypes. Data were collected from five randomly selected plnts on 20 agromorphic and biochemical traits. All the biochemical analysis estimated from leaf sample following standard procedure.

The traits shelled grain weight, cob diameter, number of grains per cob and anthesis silking interval were found to possess significant association in disirable direction with five ear weight at both genotypic and phenotypic levels. None of the biochemical trairts establishing significant positive association with yield. Highest positive direct effect on 5 ear weight was noticed by shelled grain weight (1.108) followed by phenols (0.115), internodal length (0.106) and days to 50 percent anthesis (0.102) indicating that the selection for these characters were likely to bring about an overall improvement in grain yield directly.

Keywords

Biochemical traits, Correlation analysis, Maize, Path coefficient