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Research Article Open access CC BY 4.0

Correlation and Path Coefficient Analysis for Yield and Yield Components in Late Maturing Pro-vitamin A Synthetic Maize (Zea mays L.) Breeding Lines

David Oluwagbenga Olawamide, Lawrence Stephen Fayeun

Journal of Experimental Agriculture International · pp. 64–72 · Published 15 Feb 2020

10.9734/jeai/2020/v42i130452

Abstract

This study was conducted in a rainforest ecology of Southwestern Nigeria during 2016 and 2017 cropping seasons under rainfed conditions to estimate character association and path coefficient of grain yield (t ha-1) and its component characters, to identify characters whose selection could be used in improving maize grain yield (t ha-1). Fourteen late-maturing pro-vitamin A maize (PVAM) synthetics were conducted in a randomized complete block design with three replications. The following agronomic characters were recorded: plant stands per plot, days to 50% tasselling, days to 50% silking, anthesis-silking interval, plant height (cm), ear height (cm), number of ears harvested, field weight (kg), and grain yield (t ha-1). In both 2016 and 2017, plant stands per plot, the number of ears harvested and field weight (kg) correlated positively and significantly with grain yield (t ha-1) at the phenotypic and genotypic levels. Also, in both years, positive and significant phenotypic and genotypic correlations were found for plant stands per plot with number of ears harvested and field weight (kg), days to 50% tasselling with days to 50% silking, plant height (cm) with ear height (cm) and number of ears harvested with field weight (kg). Path analysis for both years at the phenotypic and genotypic levels identified field weight (kg) and the number of ears harvested to have a positive direct effect on grain yield (t ha-1), an indication that optimum plant population per plot is paramount to increasing grain yield (t ha-1). Hence, the number of ears harvested and field weight (kg) are characters that could be considered in the improvement of maize grain yield (t ha-1).

Breeding lines correlation coefficient grain yield selection.

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