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Enhancing predictive accuracy of yield traits in cassava through multi-trait genomic prediction

2026-07-06

Abstract excerpt

Multi-trait genomic prediction offers a practical route to improve selection for costly, complex traits in clonally propagated crops such as cassava. In a Brazilian breeding panel of 1,078 cassava clones genotyped with 25,923 SNPs and phenotyped for six agronomic traits, we compared single-trait (ST) and multi-trait (MT) GBLUP models. Stage-wise mixed models produced BLUEs that fed into ST and MT-GBLUP. We tested...

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Literature Corpus work
41341e51-28e6-5590-9089-9d960bf7c2e4
DOI
10.64898/2026.07.01.735838
Open publication

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Enhancing predictive accuracy of yield traits in cassava through multi-trait genomic predictionDOI 10.64898/2026.07.01.735838
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