Spatial variation is a major source of error in agricultural field experiments affecting genotype performance prediction. Implementing statistical models that account for spatial effects can improve the prediction of genotype performance. This study evaluated the impact of the P-spline spatial correction method on the...
T. Setotaw, Christine Nyaga, David J. Waring et al.· PLoS ONE· 0 citations
Cassava (Manihot esculenta Crantz) is a tropical crop of major socioeconomic importance, whose productivity can be limited by sensitivity to herbicides used for weed management. This study aimed to perform a genome-wide association study (GWAS) in 194 cassava genotypes to identify genomic regions associated with tolera...
Reisane Teles Santiago, M. B. E. Souza, Diego Fernando Marmolejo Cortes et al.· Plant Molecular Biology· 0 citations
Genomic selection has become an important strategy in cassava breeding, enabling faster selection cycles and sustained genetic progress. Despite its widespread adoption, long-term evaluations integrating predictive performance, realized genetic gain, and genetic diversity remain scarce, particularly in clonally propaga...
G. M. de Freitas, Diana C. Solarte Certuche, J. Jannink et al.· bioRxiv· 0 citations
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