Selection of Superior Traits and Diverse Parents in Maize (Zea mays L.) Based on Multivariate Analysis

Ayodhya Prasad Pandey *

Department of Genetics and Plant Breeding, Faculty of Agriculture Science and Technology, AKS University, Satna, Madhya Pradesh, India.

Brindaban Singh

Department of Genetics and Plant Breeding, Faculty of Agriculture Science and Technology, AKS University, Satna, Madhya Pradesh, India.

Rajbeer Singh Gaur

Department of Genetics and Plant Breeding, Faculty of Agriculture Science and Technology, AKS University, Satna, Madhya Pradesh, India.

Ankit Kumar Bhagat

Department of Genetics and Plant Breeding, Faculty of Agriculture Science and Technology, AKS University, Satna, Madhya Pradesh, India.

Neeraj Verma

Department of Genetics and Plant Breeding, Faculty of Agriculture Science and Technology, AKS University, Satna, Madhya Pradesh, India.

Suhel Mehandi

Department of Genetics and Plant Breeding, School of Agriculture, Lovely Professional University, Jalandhar, Punjab, India.

*Author to whom correspondence should be addressed.


Abstract

An experiment comprising 40 maize (Zea mays L.) genotypes was conducted in a randomized complete block design with three replications at research farm of Faculty of Agriculture Science and Technology, AKS University, Satna (M.P.) India. Highly significant (p ≤ 0.05) differences among genotypes were observed for all the traits studied. The genotypic and phenotypic coefficients of variation ranged from 2.40-32.34% and 2.89-32.68%, respectively, with relatively higher estimates for seed yield per plant, tassel length and seed index, indicating substantial genetic dispersion for these traits. Broad-sense heritability was high to very high for most characters (65.00–99.20%), and genetic advance as percent of mean ranged from 4.12 to 65.91%. Correlation analysis revealed that seed yield per plant was positively and highly significantly associated with cob length, cob diameter, cob weight, number of seeds per cob, number of cobs per plant and days to maturity, whereas days to 50% silking was negatively associated with yield, indicating the importance of sink traits and flowering synchrony in yield expression. Path analysis showed high explanatory power at both genotypic and phenotypic levels (R² = 0.9102 and 0.9018), with days to maturity, cob length/cob diameter and number of seeds per cob exhibiting positive direct effects on yield, confirming these as robust indirect selection criteria. Mahalanobis Danalysis grouped genotypes into six clusters with maximum divergence between Cluster IV and Cluster VI, indicating scope for exploiting heterosis by selecting parents from highly divergent clusters. 

Keywords: Maize, genetic variability, correlation, path coefficient, genetic divergence


How to Cite

Pandey, Ayodhya Prasad, Brindaban Singh, Rajbeer Singh Gaur, Ankit Kumar Bhagat, Neeraj Verma, and Suhel Mehandi. 2026. “Selection of Superior Traits and Diverse Parents in Maize (Zea Mays L.) Based on Multivariate Analysis”. Journal of Advances in Biology & Biotechnology 29 (2):361-76. https://doi.org/10.9734/jabb/2026/v29i23644.

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