In sub-Saharan Africa, substantial yield losses in maize are caused by Striga hermonthica (Del.) Benth., a parasitic weed. Limited genetic diversity for Striga resistance within the elite maize germplasm, as well as challenges with phenotyping for Striga under artificial infestation constrain breeding for Striga resistance. Genomic prediction may help accelerate the identification of Striga resistant lines for hybrid development. This dataset contains: (i) phenotypic data from 232 testcross (TC) hybrids that were evaluated in field trials under artificial Striga infestation at three locations in Kenya, and (ii) genotypic data for 606 doubled haploid (DH) lines. The results of this study on genomic prediction for Striga are published in the accompanying article.
