Performance of Half-Sib Progenies Developed from an Early Maturing Maize (Zea mays L.) Population in a Rain-Forest Location

Abstract

Problem: Half-sib progenies were developed in a maize breeding program of the Department of Crop Production and Protection of Obafemi Awolowo University Ile-Ife, Nigeria but have not been evaluated for further improvements. Aims: Therefore, this study was undertaken to evaluate the performances of the half-sib progenies, as well as estimate and determine the association among selected traits. Study Design: 160 half-sib progenies each developed in the late planting seasons of 2013 and 2014 from an early maturing maize population were used for this study. Each of the field trials were laid out in a 16 x 10 incomplete block design and replicated twice. Place and Duration of Study: The study was conducted during the early and late planting seasons of 2015 at the Teaching and Research Farm, Obafemi Awolowo University, Ile-Ife (7º28’N 4º33’E and 244 m above sea level). Methodology: All data collected were subjected to Analysis of Variance (ANOVA) and means were separated using Least Significant Difference (LSD) at 0.05 probability level. Genotypic and phenotypic variances were generated to calculate heritability estimates for all traits taken. Results: The results observed showed highly significant differences (P < 0.01) between seasons and among half-sib progenies from both years of development for all traits. Half-sib progenies developed in 2014 were also observed to perform better than those developed in 2013 for all traits studied. Heritability was high (72%) for ear height for the 2013 developed half-sib progenies and moderate at 45% for the 2014 half-sib progenies and this trait had highly significant and positive correlations with yield. Conclusion: It was concluded that sufficient genetic variability existed among the progenies that could be exploited to improve the population. However, it was recommended that these progenies could also be evaluated in multiple locations to ascertain their adaptability and performance.