Agricultural data for Ethiopia, gathered from research institutes and government sources into one searchable catalogue.
1–10 of 166 datasets
CIMMYT Ethiopia
This study presents the unimputed SNP profiles from genotyping-by-sequencing of the accession parents of the SeeD GWAS testcross panel.
CIMMYT Ethiopia
This study presents the imputed SNP profiles from genotyping-by-sequencing of the accession parents of the SeeD GWAS testcross panel. The positions in the VCF files have been mapped against version 4 of the maize genome. The imputation was performed using the Beagle software.
CIMMYT Ethiopia
In 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, there is still limited computing efficiency to do so. Although statistical models are usually mathematically elegant, they are also computatio nally inefficient, and they are impractical for many traits, lines, environments, and years because they need to sample from huge normal multivariate distributions. For these reasons, this study explores two recommender systems: a) item-based collaborative filtering (IBCF; method M1) and b) the matrix factorization algorithm (method M2) in the context of multiple traits and multiple environments. The IBCF and matrix factorization methods were compared with two conventional methods on simulated and real data. Results of the simulated and real data sets show that the IBCF technique (method M1) was slightly better in terms of prediction accuracy than the two conventional methods and the matrix factorization method when the correlation was moderately high. The IBCF technique is very attractive because it produces good predictions when there is high correlation between items (environment-trait combinations) and its implementation is computationally feasible, which can be useful for plant breeders who deal with very large data sets.
CIMMYT Ethiopia
In May 2006, a Maize Germplasm Network Meeting was held at CIMMYT Headquarters in Texcoco, Mexico, sponsored by the Crop Trust, the World Bank and CIMMYT. Thirty particip ants, from Mexican and international institutions, were invited by the meeting co-organizers, Dr. Suketoshi Taba, the Head of the CIMMYT Maize Collection at the time, and Dr. Major Goodman (North Carolina State University, USA), “…to develop and make recommendations on what, where, and how the world maize genetic resources should be conserved in the long term.” The end-product of this meeting was a document entitled, “Global Strategy for the Ex situ Conservation and Utilization of Maize Germplasm,” which was completed in September 2007 (http://repository.cimmyt.org/xmlui/handle/10883/17829). The objective of the document was “…to provide a framework for the efficient and effective ex situ conservation of the globally important collections of maize.” Close to a decade later, in February 2016, the International Maize Genetic Resources Advisory Committee (IMGRAC) was convened at CIMMYT Headquarters. The main objectives of this committee are to implement and update the global maize conservation strategy, provide global assessments, technical advice, and recommendations for the conservation and use of genetic resources of maize and related species to individual genebanks, other globally important holders of the crop collection, and the C rop Trust as needed. This advisory committee will reach out to the global user community through its representation, as well as through targeted communications and information sharing. The purpose of this meeting is not only to take stock of the areas of accomplishment, but also to address those that have stagnated. The 2007 global strategy provides a framework for an analysis of what has been successful and what has failed, and to prioritize our future actions. This site provides a platform for sharing the presentations given at the IMGRAC Meeting, as well as other documents that are generated by the group. IMGRAC Meeting Steering Committee: Denise E. Costich (CIMMYT), Michael Abberton (IITA), Paula Bramel (CropTrust), Cinta Romay (Cornell), Terry Molnar (CIMMYT) IMGRAC Committee Chair: Bill Tracy (University of Wisconsin-Madison)
CIMMYT Ethiopia
Cycle 2 formed by inter mating selected Cycle1 genotypes genotyped with 93 SNPs for GEBV estimation for grain yield
CIMMYT Ethiopia
Cycle 1 formed by inter mating selected S2 families genotypes genotyped with 84 SNPs for GEBV estimation for grain yield