551 to 560 of 1,122 Results
Jan 3, 2021 - CIMMYT Research Data
Badu-Apraku, Baffour; Garcia-Oliveira, Ana Luísa; Petroli, Cesar; Hearne, Sarah; Adeyemi Adewale, Samuel; Gedil, Melaku, 2020, "Replication Data for: Genetic diversity and population structure of early and extra-early maturing maize germplasm adapted to sub-Saharan Africa", https://hdl.handle.net/11529/10548533, CIMMYT Research Data & Software Repository Network, V2
DArTSeq SNPs were generated for 436 early and extra-early maturing maize inbreds developed by the IITA maize improvement program as well as three inbred maize lines developed by CIMMYT. SNP calling was done using a proprietary analytical pipeline developed by DArT P/L. The study... |
Dec 21, 2020 - CIMMYT Research Data
Kokhmetova, Alma; Sehgal, Deepmala; Ali, Shaukat; Atishova, Makpal; Kumarbayeva, Madina; Leonova, Irina; Dreisigacker, Susanne, 2020, "Replication Data for: Genome-wide association study of tan spot resistance in a hexaploid wheat collection from Kazakhstan", https://hdl.handle.net/11529/10548482, CIMMYT Research Data & Software Repository Network, V1
The genotypic data included in this dataset were generated using DArTseq by the SAGA genotyping laboratory in Mexico. The dataset contains 8,154 SNPs on candidate varieties from Kazakhstan and those released by CIMMYT-ICARDA-IWWIP program. These were evaluated for tan spot resist... |
Dec 19, 2020 - CIMMYT Research Data
Molnar, Terence; Willcox, Martha; Burgueño, Juan; Montiel Gomez, Noel O.; Sifuentes, M.C. Ernesto; Vidal, Victor, 2016, "Evaluation of Maize Landraces for Drought Tolerance in 2014", https://hdl.handle.net/11529/10832, CIMMYT Research Data & Software Repository Network, V2, UNF:6:Yy9whjqs4RtvYuop4qvxcg== [fileUNF]
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Dec 11, 2020 - CIMMYT Research Data
Camarillo-Castillo, Fatima; Huggins, Trevis D.; Mondal, Suchismita; Reynolds, Matthew; Tilley, Michael; Hays, Dirk B., 2020, "Replication Data for: High-resolution spectral information enables phenotyping of leaf epicuticular wax in wheat", https://hdl.handle.net/11529/10548539, CIMMYT Research Data & Software Repository Network, V1
Current limitations on phenotyping EW restrict the integration of this secondary trait into wheat breeding pipelines. In this study we evaluated the application of high-resolution spectral information as a proxy estimate of the trait and developed an efficient indirect method for... |
Dec 10, 2020 - CIMMYT Research Data
Hearne, Sarah; Franco, Jorge; Chen, Jiafa, 2019, "2019 release of SNP allele frequency data for maize accessions in the CIMMYT Germplasm Bank maize collection", https://hdl.handle.net/11529/10548142, CIMMYT Research Data & Software Repository Network, V2
The Maize Collection in the CIMMYT Germplasm Bank was genotyped using DArTSeq technology. Pooled DNA samples were generated from over 25,000 accessions. The counts of resulting SNPs were used to evaluate the allele frequencies of alleles present within the maize accessions. The g... |
Dec 8, 2020 - CIMMYT Research Data
Cerón-Rojas, J. Jesus; Perez-Elizalde, Sergio; Crossa, Jose, 2020, "Replication Data for: The relative efficiency of a Bayesian linear phenotypic selection index to predict the net genetic merit in plants", https://hdl.handle.net/11529/10548542, CIMMYT Research Data & Software Repository Network, V1
In breeding, the net genetic merit of candidates for selection is a linear combination of the breeding values of the traits of interest weighted by their respective economic values. This dataset contains the R code that accompanies a publication that describes an evaluation of li... |
Dec 7, 2020 - CIMMYT Research Data
Verhulst, Nele; Romero, Carlos M.; Hao, Xiying; Hazendonk, Paul; Chantigny, Martin; Fonteyne, Simon, 2020, "Soil organic matter dynamics after 27 years of different tillage-residue management in northern Mexico", https://hdl.handle.net/11529/10548541, CIMMYT Research Data & Software Repository Network, V1, UNF:6:kpbnrWUyYM/kDngyb+1Nxw== [fileUNF]
We examined soil organic matter (OM) dynamics in a wheat (Triticum durum L.) – maize (Zea mays L.) irrigated bed planting system established in 1992 at the Campo Experimental Norman E. Borlaug (CENEB) near Ciudad Obregón, Sonora, Mexico (27°33’N, 109°09’W; elevation 38 m). The lo... |
Nov 14, 2020 - CIMMYT Research Data
Sansaloni, Carolina; Franco, Jorge; Santos, Bruno; Percival-Alwyn, Lawrence; Singh, Sukhwinder; Petroli, Cesar; Campos, Jaime; Dreher, Kate; Payne, Thomas; Marshall, David; Kilian, Benjamin; Milne, Iain; Raubach, Sebastian; Shaw, Paul; Stephen, Gordon; Carling, Jason; Saint Pierre, Carolina; Burgueño, Juan; Crossa, Jose; Li, Huihui; Guzman, Carlos; Kilian, Andrzej; Wenzl, Peter; Amri, Ahmed; Uauy, Cristobal; Banziger, Marianne; Caccamo, Mario; Pixley, Kevin, 2020, "Replication Data for: Diversity analysis of 80,000 wheat accessions reveals consequences and opportunities of selection footprints", https://hdl.handle.net/11529/10548030, CIMMYT Research Data & Software Repository Network, V2
A diverse panel of domesticated hexaploid and tetraploid wheat lines and their tetraploid and diploid wild relatives were genotyped using the DArtSeq technology and characterized in a global wheat diversity analysis. |
Molnar, Terence; Carvalho Andrade, Marcela; Chanona, Enrique Rodriguez; Chepetla Calderon, Daniel; Burgueño, Juan; Crossa, Jose, 2020, "CIMMYT Maize Genetic Resource Lines", https://hdl.handle.net/11529/10548528, CIMMYT Research Data & Software Repository Network, V2
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 - CIMMYT Research Data
Montesinos-López, Abelardo; Montesinos-López, Osval A.; 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", https://hdl.handle.net/11529/10548532, 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... |
