Efficiency of secondary traits in selecting for improved grain yield in extra‐early maize under Striga‐infested and Striga‐free environments |
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Authors: | Baffour Badu‐Apraku Richard O. Akinwale Muhydeen Oyekunle |
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Affiliation: | 1. Maize Improvement Unit, International Institute of Tropical Agriculture (UK) Limited, , Croydon, CR9 3EE UK;2. Department of Crop Production and Protection, Obafemi Awolowo University, , Ile‐Ife, Osun State, Nigeria |
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Abstract: | A base index involving Striga damage, number of emerged Striga plants and ears per plant is used for selecting for maize (Zea mays L.) grain yield under Striga infestation. There are contradictory reports on the reliability of number of emerged Striga plants for selecting for Striga resistance. The objective of this study was to confirm reliability of the secondary traits for selecting for improved grain yield under Striga infestation. Ten Striga‐resistant extra‐early cultivars were evaluated for 3 years under artificial Striga‐infested and Striga‐free environments in Nigeria. Analysis of variance combined across years and locations showed significant mean squares for genotype, year, location and their interactions for most traits. Sequential path analysis identified ear aspect as the only trait with significant direct effect on yield under artificial Striga infestation, while GGE biplot confirmed ear aspect, ears per plant and Striga damage as the most reliable traits. Ear aspect should be included in the base index for selecting for improved grain yield of extra‐early maize under Striga infestation, while the number of emerged Striga plants should be excluded. |
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Keywords: | GGE biplot secondary traits sequential path analysis striga resistance |
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