ArticleHeliyon2023
Performance evaluation and genetic parameters estimation of multi-companies maize hybrids in Lamahi Dang, Nepal.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Selection, a basic and crucial step of breeding, can be made efficient through the estimates of genetic parameters. Ten multi-company's maize hybrids and two Nepalese maize hybrids were used as standard checks and evaluated in a randomized complete block design with three replications. Analysis of variance for different characters revealed significant differences for most of the characters among the genotypes used. The phenotypic coefficient of variation (PCV) was observed to be higher than the genotypic coefficient of variation (GCV) for all traits studied suggesting those traits interacted with the environment. The traits under study showed a wide range of heritability estimates (24%-90%). Among the characters, highest heritability and genetic advance were recorded for grain yield. Path coefficient analysis showed that the plant height, ear weight, number of kernel rows cob
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