Replication Data for: Genomic Prediction of The Performance of Tropical Doubled Haploid Maize Lines under Artificial Striga hermonthica (Del.) Benth. Infestation

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.

Bibliographic Details

Main Authors:	Kimutai, Joan J.C., Makumbi, Dan, Burgueño, Juan, Pérez-Rodríguez, Paulino, Crossa, Jose, Gowda, Manje, Menkir, Abebe, Pacheco,Angela, Ifie, Beatrice E., Tongoona, Pangirayi, Danquah, Eric Y., Prasanna, B.M.
Other Authors:	Dreher, Kate
Format:	Experimental data biblioteca
Language:	English
Published:	CIMMYT Research Data & Software Repository Network 2024
Subjects:	Agricultural Sciences, genotypes, Zea mays, Maize, Striga hermonthica, Plant Breeding, Crop Improvement, Agricultural research,
Online Access:	https://hdl.handle.net/11529/10549033
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