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54 datasets found
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Replication Data for: Sparse testing using genomic predication improves selec... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaIn multi-environment yield trials, the use of sparse testing genomic selection enables increasing selection intensity or testing environments. The data presented in this dataset were used in the evaluation of different sparse testing genomic selection strategies in the early yield testing stage of CIMMYT spring wheat breeding pipeline. Phenotypic,...Created January 20, 2025 • Updated January 20, 2025 -
Nine years of data on genotype by tillage interaction and performance progres... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaAdoption of agronomic practices based on zero tillage and residue retention is increasing, due to their potential for climate change adaptation and mitigation. Genotype by tillage interactions for yield are not well understood. Fourteen CIMMYT bread (Triticum aestivum) and durum (Triticum turgidum) wheat genotypes, created between 1964 and 2011, were...Created January 20, 2025 • Updated January 20, 2025 -
Replication Data for: Sparse kernel models provide optimization of training s... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaWhen genomic selection (GS) is used in breeding schemes, data from multiple generations can provide opportunities to increase sample size and thus the likelihood of extracting useful information from the training data. The Sparse Selection Index (SSI), is is a method for optimizing training data selection. The data files provided with this study include a...Created January 20, 2025 • Updated January 20, 2025 -
Replication Data for: Bayesian multi-trait kernel methods improve multi-envir... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaWhen multi-trait data are available and the degree of correlation between phenotypic traits is moderate or large, genomic prediction accuracy can increase when models are used that account for correlations between the phenotypic traits. The data files associated with this dataset were used to explore Bayesian multi-trait kernel methods for genomic...Created January 20, 2025 • Updated January 20, 2025 -
2021 CIMMYT Maize Southern Africa Product Announcement N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaNew and improved maize hybrids, developed by the CIMMYT Global Maize Program, are available for uptake by public and private sector partners, especially those interested in marketing or disseminating hybrid maize seed across southern Africa and similar agro-ecological zones. Following a rigorous trialing and a stage-gate advancement process culminating in...Created January 20, 2025 • Updated January 20, 2025 -
Replication Data for: Genome-based genotype × environment prediction enhances... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaPotato breeding efficiency can be improved by increasing the reliability of selection and identifying promising germplasm for crossing. The data provided in these datasets were used to compare the prediction accuracy of genomic-estimated breeding values for several potato (Solanum tuberosum L.) breeding clones and released cultivars evaluated in three...Created January 20, 2025 • Updated January 20, 2025 -
2021 CIMMYT Maize Latin America Product Announcement / Anuncio de Productos d... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaNew and improved maize hybrids, developed by the CIMMYT Global Maize Program, are available for uptake by public and private sector partners, especially those interested in marketing or disseminating hybrid maize seed across Latin America and similar agro-ecological zones. Following a rigorous trialing and a stage-gate advancement process culminating in...Created January 20, 2025 • Updated January 20, 2025 -
Replication Data for: Multi-generation genomic prediction of maize yield usin... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaGenomic prediction models may be used in plant breeding pipelines. They are often calibrated using multi-generation data and there is an open question of whether all available data or a subset of it should be used to calibrate genomic prediction models. Therefore, a study was undertaken to determine whether combining sparse selection indexes (SSIs) and...Created January 20, 2025 • Updated January 20, 2025 -
Replication Data for: Bayesian linear regression near infrared spectroscopy (... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaVitamin A deficiency (VAD) is a public health problem worldwide. For countries with a high per capita consumption of maize, breeding varieties with higher provitamin A carotenoid content than normal yellow maize — biofortification — can be a viable strategy to reduce VAD. Selection for provitamin A carotenoid content uses molecular markers and phenotypic...Created January 20, 2025 • Updated January 20, 2025 -
Response to early generation genomic selection for yield in wheat N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaGenotyping-by-Sequencing data of a training set consisting of 1340 CIMMYT elite lines and a validation set including 1925 F2 individual derived from 38 crosses and 21 parents from the training set.Created January 20, 2025 • Updated January 20, 2025 -
Replication Data for: Measurements for multi-trait genomic-enabled prediction... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaSeveral different genome-based prediction models are available for the analysis of multi-trait data in genomic selection. The supplemental files included in this dataset provide six extensive multi-trait wheat datasets (quality and grain yield) that enable the comparison of performance of genomic-enabled-prediction when calculating the prediction...Created January 20, 2025 • Updated January 20, 2025 -
ViTSel - Data visualization for selection N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaViTSel is and R based software to visualize results of multi-environmental multi-trait analysis for selection in plant breeding. Given a matrix of genotype by environments in rows and traits in columns it produces several descriptive statistics and figures to explore results. It has the capability of define different criteria to identify the best genotypes.Created January 20, 2025 • Updated January 20, 2025 -
New deep learning genomic prediction model for multi-traits with mixed binary... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaThe seven data sets are wheat data from CIMMYT Global Wheat Breeding program. They comprise different traits, like days to heading, days to maturity, grain yield, grain color, different type of leaf and stripe rust in wheat. Also the trials were run in different environments.Created January 20, 2025 • Updated January 20, 2025 -
Characterization of maize producing households in drought prone regions of Ea... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaAgriculture in eastern Africa is predominantly rainfed and maize is a major food crop, primarily produced for home consumption and the market by small-scale family farms. The study characterized farm households in the drought prone maize growing areas of eastern Africa synthesizing data from parallel household surveys in Ethiopia, Kenya, Uganda and...Created January 20, 2025 • Updated January 20, 2025
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