Dunia Pino Del Carpio

Improving root characterisation for genomic prediction in cassava

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.

RNA polymerase mapping in plants identifies enhancers enriched in causal variants

The paper identifies enhancer regions in cassava using RNA polymerase mapping and shows they are enriched with causal variants affecting fitness and root composition.

Genome-wide association mapping and genomic prediction unravels CBSD resistance in a Manihot esculenta breeding population

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

Leveraging Transcriptomics Data for Genomic Prediction Models in Cassava

The paper evaluates genomic prediction models for Cassava Brown Streak Disease using transcriptomics and GWAS data, finding only marginal improvements in prediction accuracy.

Prospects for genomic selection in cassava breeding

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

Genome-wide association and prediction reveals the genetic architecture of cassava mosaic disease resistance and prospects for rapid genetic improvement

This study identifies genetic loci associated with cassava mosaic disease resistance using genome-wide association and genomic prediction, revealing a major region and multiple smaller effect regions.