Marnin D. Wolfe

This study shows that monoculture selection captures most intercrop yield gains in cassava, but targeted testing with cowpea varieties is still needed for effective intercropping breeding.

The paper compares near-infrared spectroscopy (NIRS) and genomic selection for predicting seed protein in white lupin, finding NIRS provides accurate, low-cost screening while genomic prediction is better for parental selection.

The paper analyzes a cassava introgression from M. glaziovii, finding no direct effect on dry matter but segregation distortion and minor effects on vigor.

This paper uses whole-genome resequencing to analyze diversity and structure in crimson clover and develops a mid-density SNP capture panel for breeding applications.

The paper develops genomic mate selection criteria for outbred species, demonstrating accurate prediction of genetic variances and covariances in cassava to improve breeding outcomes.

This study performs a genome-wide association analysis on cassava to identify genetic loci associated with defensive, agro-morphological, and quality traits, uncovering 41 significant associations and candidate genes.

This study uses image analysis and genome-wide association to identify QTLs for cassava root shape and size traits, finding lower predictive accuracy compared to other traits but promising for high-throughput methods.

The paper identifies beneficial introgressed alleles from M. glaziovii in modern cassava germplasm, showing they improve traits like yield and disease tolerance and are under balancing selection.

This study identifies genomic regions associated with CBSD resistance in cassava using genome-wide association mapping and genomic prediction models.

This study evaluates genomic selection accuracy in cassava breeding across different prediction models and scenarios, finding that training population size significantly impacts accuracy.

This paper identifies genetic markers for dry matter and carotenoid content in cassava, finding physical linkage rather than pleiotropy explains their negative correlation.