Peter Kulakow

Validation of SNP markers for marker-assisted selection of genotypes with increased carotenoid and dry matter contents in cassava

The paper validates SNP markers for marker-assisted selection in cassava to improve carotenoid and dry matter content, showing high correlation for carotenoids but lower for dry matter.

Genomic mating in outbred species: predicting cross usefulness with additive and total genetic covariance matrices

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

Genome-wide association analysis reveals new insights into the genetic architecture of defensive, agro-morphological and quality-related traits in cassava

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.

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.

Introgressed Manihot glaziovii Alleles in Modern Cassava Germplasm Benefit Important Traits and Are Under Balancing Selection

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.

Accuracies Of Univariate And Multivariate Genomic Prediction Models In African Cassava.

This study compares univariate and multivariate genomic prediction models for cassava traits, finding that multivariate models improve prediction accuracy in both single and multi-environment evaluations.

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 mapping of correlated traits in cassava: dry matter and total carotenoid content

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

Resistance genes in global crop breeding networks

The paper analyzes crop breeding networks for cassava, potato, rice, and wheat to evaluate their structure and resilience in deploying resistance genes against diseases.

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.

Marker-based estimates reveal significant non-additive effects in clonally propagated cassava (Manihot esculenta): implications for the prediction of total genetic value and the selection of varieties

The paper quantifies non-additive genetic variation in cassava using marker-based matrices and shows total genetic value correlates better with phenotypes than additive value for yield traits.