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9 datasets found
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Prediction of multiple-trait and multiple-environment genomic data using reco... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaIn genomic-enabled prediction, the task of improving the accuracy of the prediction of lines in environments is difficult because the available information is generally sparse and usually has low correlations between traits. In current genomic selection, while researchers have a large amount of information and appropriate statistical models to process it,...Created January 20, 2025 • Updated January 20, 2025 -
Rapid cycling genomic selection in a multi-parental tropical maize population N3 | TTL | RDF/XML | JSON-LD
CIMMYT Ethiopia^^Created January 20, 2025 • Updated January 20, 2025 -
A variational Bayes genomic-enabled prediction model with genotype × environm... N3 | TTL | RDF/XML | JSON-LD
CIMMYT Ethiopia^^Created January 20, 2025 • Updated January 20, 2025 -
Genomic-enabled prediction in maize using kernel models with genotype × envir... N3 | TTL | RDF/XML | JSON-LD
CIMMYT Ethiopia^^Created January 20, 2025 • Updated January 20, 2025 -
Genomic Selection in Plant Breeding: Advances and Perspectives N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaN/ACreated January 20, 2025 • Updated January 20, 2025 -
Replication Data for: Investigating genomic prediction strategies for grain c... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaVitamin A deficiency continues to cause challenges around the world including in areas where maize is an important component of human diets. Biofortification offers one solution for alleviating this deficiency. A Carotenoid Association Mapping panel, developed by the International Maize and Wheat Improvement Center (CIMMYT) contains 380 inbred lines...Created January 20, 2025 • Updated January 20, 2025 -
Replication Data for: Genetic Dissection of Resistance to Gray Leaf Spot by C... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaGray leaf spot (GLS) is a major maize foliar disease in sub-Saharan Africa that can substantially reduce yields for farmers. This dataset contains supporting phenotypic and genotypic data used in the analysis of the genetic architecture of GLS resistance in maize. The data in this paper relate to several different sets of germplasm: (1) The IMAS (Improved...Created January 20, 2025 • Updated January 20, 2025 -
Replication Data for: A multivariate Poisson deep learning model for genomic ... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaGenomic selection (GS) is an important method used in plant and animal breeding. The experimental data provided in this study contain counting data. These datasets were used to support research on efficient methodologies for multivariate count data outcomes including a multivariate Poisson deep neural network (MPDN) model, a conventional multivariate...Created January 20, 2025 • Updated January 20, 2025 -
Replication Data for: Joint use of genome, pedigree and their interaction wit... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaIn this study, we evaluated genome-based prediction using 35,403 wheat lines from the Global Wheat Breeding Program of the International Maize and Wheat Improvement Center (CIMMYT). We implemented eight statistical models that included genome-wide molecular marker and pedigree information in two different validation schemes. All models included main...Created January 20, 2025 • Updated January 20, 2025
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