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1 to 10 of 588 Results
Oct 27, 2020
Molnar, Terence; Carvalho Andrade, Marcela; Chanona, Enrique Rodriguez; Chepetla Calderon, Daniel; Burgueño, Juan; Crossa, José, 2020, "CIMMYT Maize Genetic Resource Lines",, CIMMYT Research Data & Software Repository Network, V1
CIMMYT makes available to the public a set of maize inbred lines called CIMMYT Maize Genetic Resource Lines (CMGRL). The CMGRLs are derived from crosses between elite CIMMYT lines and landrace accessions, populations or synthetics from the CIMMYT Germplasm Bank. CMGRLs are intend...
Oct 24, 2020
Montesinos-López, Abelardo; Montesinos-López, Osval Antonio; Montesinos-López, José Cricelio; Flores-Cortes, Carlos Alberto; de la Rosa, Roberto; Crossa, Jose, 2020, "Replication Data for: A guide for generalized kernel regression methods for genomic-enabled prediction",, CIMMYT Research Data & Software Repository Network, V1
The data contained in these datasets can be used to implement Bayesian generalized kernel regression methods for genome-enabled prediction in the statistical software R, The accompanying paper describes the building process of 7 kernel methods (linear, polynomial, sigmoid, Gaussi...
Oct 18, 2020
Kibe, Maguta; Nair, Sudha K.; Das, Biswanath; Bright, Jumbo M.; Makumbi, Dan; Kinyua, Johnson; Suresh, L M; Beyene, Yoseph; Olsen, Michael S.; Prasanna, B.M.; Gowda, Manje, 2020, "Replication Data for: Genetic Dissection of Resistance to Gray Leaf Spot by Combining Genome-Wide Association, Linkage Mapping and Genomic Prediction in Tropical Maize Germplasm",, CIMMYT Research Data & Software Repository Network, V1
Gray 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 thi...
Oct 16, 2020
Sukumaran, Sivakumar; Crossa, Jose; Jarquín, Diego; Lopes, Marta; Reynolds, Matthew P., 2016, "Genomic and pedigree prediction with genotype × environment interaction in spring wheat grown in South and Western Asia, North Africa, and Mexico",, CIMMYT Research Data & Software Repository Network, V3
Increases in genetic gains in grain yield can be accelerated through genomic selection (GS). In the present study seven genomic prediction models under two cross validation scenarios were evaluated on the Wheat Association Mapping Initiative population of 287 advanced elite lines...
Oct 3, 2020
Puhl, Laura E; Crossa, Jose; Sebastian, Munilla; Cantet, R. J. C., 2020, "Additive genetic variance and covariance between relatives in wheat crosses with variable parental ploidy levels",, CIMMYT Research Data & Software Repository Network, V3
Synthetic hexaploid wheat was developed and used in breeding to introduce new genetic diversity into bread wheat, through interspecific hybridization of T. tauschii (diploid) and durum wheat T. turgidum (tetraploid) to produce synthetic derivatives. Therefore, one may infer that...
Sep 30, 2020 - CIMMYT Seeds of Discovery
Martini, Johannes W. R.; Toledo, Fernando H.; Sansaloni, Carolina; Robles Ortiz, Cynthia; Crossa, Jose; Cuevas, Jaime; Sukumaran, Sivakumar, 2020, "Replication Data for: Genomic prediction within and across families in wheat pre-breeding populations",, CIMMYT Research Data & Software Repository Network, V1
The genetic diversity housed in germplasm banks may provide valuable contributions to breeding efforts. It is important to understand the best way to introduce this diversity into elite breeding materials. This files in this dataset provide phenotypic and genotypic data used to c...
Sep 21, 2020
Hodson, David P.; Jaleta, Moti; Tesfaye, Kindie; Yirga, Chilot; Beyene, Habekirstos; Kilian, Andrzej; Carling, Jason; Disasa, Tesfaye; Alemu, Sisay Kidane; Daba, Tadessa; Alemayehu, Yoseph; Badebo, Ayele; Abeyo, Bekele; Erenstein, Olaf, 2020, "Wheat National Survey for DNA fingerprinting in Ethiopia",, CIMMYT Research Data & Software Repository Network, V1
This dataset include data from a national wheat survey in Ehiopia in 2016 during the main season for a DNA fingerprinting study. The data contain wheat varieties genotyped using DNA fingerprinting (DNA FP), farmers recall survey and matching of DNA FP with farmers recall.
Sep 19, 2020
Sehgal, Deepmala; Mondal, Suchismita; Crespo-Herrera, Leonardo; Velu, Govindan; Juliana, Philomin; Huerta-Espino, Julio; Shrestha, Sandesh; Poland, Jesse; Singh, Ravi; Dreisigacker, Susanne, 2020, "Haplotype-based genome-wide association study unveils stable genomic regions for grain yield in CIMMYT spring bread wheat",, CIMMYT Research Data & Software Repository Network, V1
Genetic architecture of grain yield (GY) has been extensively investigated in wheat using genome wide association study (GWAS) approach. However, most studies have used small panel sizes in combination with large genotypic data, typical examples of the so-called ‘large p small n’...
Sep 9, 2020
Poland, Jesse; Dreisigacker, Susanne; Shrestha, Sandesh; Wu, Shuangye; Singh, Ravi; Mondal, Suchismita; Juliana, Philomin; Crossa, Jose; Rutkoski, Jessica, 2016, "Genotypic data from CIMMYT bread wheat breeding lines used in the Feed the Future Innovation Lab for Applied Wheat Genomics",, CIMMYT Research Data & Software Repository Network, V4, UNF:6:DnTu/CFQeiDziR40QxBhzg== [fileUNF]
Genetic profiling of wheat breeding lines from the CIMMYT bread wheat breeding program was carried out over several years.
Sep 9, 2020
Global Wheat Program; IWIN Collaborators; Singh, Ravi; Payne, Thomas, 2020, "1st Stem Rust Resistance Screening Nursery",, CIMMYT Research Data & Software Repository Network, V1
The Stem Rust Resistance Screening Nursery is a single replicate nursery that contains diverse spring bread wheat (Triticum aestivum) germplasm adapted to all mega-environments with total 50-100 entries and white/red grain color.
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