Analysis of the Relationship between the Key Parameters of Grain Yield in Two Maize (Zea mays L.) Genotypes
Received Date: Jul 04, 2019 / Accepted Date: Jul 23, 2019 / Published Date: Aug 09, 2019
Abstract
We studied the relationship between key components of maize grain yield using two maize populations derived from two strains (BLC and JNE genotypes) with contrasting values of yield components. The BLC genotype has higher grain filling rate and heavier kernels while the JNE genotype has longer effective filling period and larger number of kernels per ear. In both populations, we observed a highly significant relationship between grain filling rate and kernel weight (r ≥ 0.90, p<0.001). Kernel weight was also correlated with effective filling period, but at a lower magnitude (r=0.29 for JNE genotype, and 0.30 for BLC genotype, p<0.05). These observations clearly showed that selecting for higher grain filling rate had a strong additive genetic effect on kernel weight. However, final grain yield per plant was much more influenced by number of kernels than kernel weight at a planting density of 42000 plants ha-1. A principal component analysis reveals that larger number of kernels and longer effective filling period are characteristics of the JNE genotype that had higher grain yield. Higher grain filling rate and heavier kernels were attributes of the BLC genotype that had comparatively lower grain yield.
Keywords: Key Components; Genotype; Maize; Grain Yield; Principal Components Analysis
Citation: Seka D, Bonny BS, Sie RS, Gourène BAA (2019) Analysis of the Relationship between the Key Parameters of Grain Yield in Two Maize (Zea mays L.) Genotypes. Adv Crop Sci Tech 7: 427. Doi: 10.4172/2329-8863.1000426
Copyright: © 2019 Seka D, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Share This Article
Recommended Journals
Open Access Journals
Article Tools
Article Usage
- Total views: 2315
- [From(publication date): 0-2019 - Dec 22, 2024]
- Breakdown by view type
- HTML page views: 1674
- PDF downloads: 641