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Genetic parameter estimation and selection in advanced breeding population of white Guinea yam
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Date
2021Author
Norman, P.E.
Tongoona, P.B.
Danquah, A.
Danquah, E.Y.
Agre, P.A.
Agbona, A.
Asiedu, R.
Asfaw, A.
Type
Review Status
Peer ReviewTarget Audience
Scientists
Metadata
Show full item recordAbstract/Description
White Guinea yam (Dioscorea rotundata Poir.) is an important tuber crop grown extensively in tropical regions of West African yam belt. Tuber yield, dry matter content, and tolerance to yam mosaic virus are key traits used for identification and selection of superior varieties for commercial deployment. In this study, we estimated genetic parameters for fresh tuber yield, tuber dry matter content, and quantitative field tolerance to yam mosaic virus in 49 clones grown in multi-environment trials (METs). We conducted genomic prediction involving 6337 single nucleotide polymorphisms (SNPs) and phenotypic field evaluation of data collected on the three traits from four sites. Additive genetic and non-genetic factors contributed significantly to phenotypic variation of studied yam traits in METs but to varying degrees. The non-genetic effects were relatively high for most of the measured traits. Narrow-sense heritability values were low (<0.30) for all studied traits. Further analysis of the performance of the clones at test sites with additive main effects and multiplicative interaction (AMMI) analysis exhibited significant genotype by environment interactions (GEI) for the three traits. The AMMI identified TDr10/00412, TDr11/00055, and TDr09/00135 clones with lowest mean trait stability index and outstanding performance for fresh tuber yield (t ha−1), tuber dry matter, and mosaic virus resistance across sites. The elite clones identified could serve as useful source of alleles for the genetic improvement of the crop and possibly considered for release to farmers.
https://dx.doi.org/10.1080/15427528.2021.1881012
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Permanent link to this item
https://hdl.handle.net/20.500.12478/7100IITA Authors ORCID
Prince Emmanuel Normanhttps://orcid.org/0000-0002-0150-8610
Paterne AGREhttps://orcid.org/0000-0003-1231-2530
Robert Asieduhttps://orcid.org/0000-0001-8943-2376
Asrat Asfawhttps://orcid.org/0000-0002-4859-0631
Digital Object Identifier (DOI)
https://dx.doi.org/10.1080/15427528.2021.1881012