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451 to 460 of 978 Results
Wheat consumption dynamics in selected countries in Asia and Africa: Implications for wheat supply by 2030 and 2050
Dec 17, 2021 - CIMMYT Research Data
Mottaleb, Khondoker, 2021, "Wheat consumption dynamics in selected countries in Asia and Africa: Implications for wheat supply by 2030 and 2050", https://hdl.handle.net/11529/10548638, CIMMYT Research Data & Software Repository Network, V1
FAOSTAT data
Crop types of the Yaqui Valley during the 2016-17 winter growing season
Dec 16, 2021 - CIMMYT Research Data
Schulthess, Urs; Ortíz-Monasterio Rosas, José Iván, 2021, "Crop types of the Yaqui Valley during the 2016-17 winter growing season", https://hdl.handle.net/11529/10548637, CIMMYT Research Data & Software Repository Network, V1
Our study region is located in the northwest of Mexico, in the Yaqui Valley, where most farmers predominantly grow crops under irrigated conditions during the winter months. Sowing typically starts in late October. Dry bean is one of the first crops to be sown (Table 1). Wheat, t...
Replication Data for: Sparse kernel models provide optimization of training set design for genome-based prediction in multi-year wheat breeding data
Dec 3, 2021 - CIMMYT Research Data
Lopez-Cruz, Marco; Dreisigacker, Susanne; Crespo-Herrera, Leonardo; Bentley, Alison R.; Singh, Ravi; Mondal, Suchismita; Perez-Rodriguez, Paulino; Crossa, Jose, 2021, "Replication Data for: Sparse kernel models provide optimization of training set design for genome-based prediction in multi-year wheat breeding data", https://hdl.handle.net/11529/10548635, CIMMYT Research Data & Software Repository Network, V1
When 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 optimizi...
Genotypic data for the IND100&BGD100 panel
Dec 3, 2021 - CIMMYT Research Data
He, Xinyao; Singh, Pawan; Kabir, Muhammad Rezaul; Joshi, Arun K.; Singh, Gyanendra P., 2021, "Genotypic data for the IND100&BGD100 panel", https://hdl.handle.net/11529/10548634, CIMMYT Research Data & Software Repository Network, V1
GBS genotypic data for the IND100&BGD100 panel
Water use and grain yield with conservation agriculture and conventional tillage under furrow and drip irrigation for maize and barley in the Mexico Bajío
Nov 22, 2021 - CIMMYT Research Data
Verhulst, Nele; Fonteyne, Simon; Flores Garcia, Álvaro, 2021, "Water use and grain yield with conservation agriculture and conventional tillage under furrow and drip irrigation for maize and barley in the Mexico Bajío", https://hdl.handle.net/11529/10548578, CIMMYT Research Data & Software Repository Network, V2
The database contains data about water use in barley (Hordeum vulgare) and maize (Zea Mays) production in the Mexican Bajío. Water use and grain yield were evaluated under conventional tillage and under conservation agriculture in permanent raised beds, both under furrow irrigati...
Replication Data for: Genomic insights on global journeys of adaptive wheat genes that brought us to modern wheat (table 2)
Nov 16, 2021 - CIMMYT Research Data
Sehgal, Deepmala; Dixon, Laura; Pequeño, Diego; Hyles, Jessica; India, X; Crossa, Jose; Bentley, Alison; Dreisigacker, Susanne, 2021, "Replication Data for: Genomic insights on global journeys of adaptive wheat genes that brought us to modern wheat (table 2)", https://hdl.handle.net/11529/10548622, CIMMYT Research Data & Software Repository Network, V2, UNF:6:QTiysvcxQcIlhipn4RDY7A== [fileUNF]
This table contains information of all the flowering genes known so far in wheat.
Replication Data for: Genomic insights on global journeys of adaptive wheat genes that brought us to modern wheat (table 1)
Nov 16, 2021 - CIMMYT Research Data
Sehgal, Deepmala; Dixon, Laura; Pequeño, Diego; Hyles, Jessica; India, X; Crossa, Jose; Bentley, Alison; Dreisigacker, Susanne, 2021, "Replication Data for: Genomic insights on global journeys of adaptive wheat genes that brought us to modern wheat (table 1)", https://hdl.handle.net/11529/10548621, CIMMYT Research Data & Software Repository Network, V2
Compilation of information of all flowering QTL reported in 18 publications. This information has been used in meta-analysis conducted in the referred study to identify meta-QTL of flowering time.
54IBWSN, 39SAWSN, and 32HRWSN - Gene-based marker data for marker-assisted selection
Nov 16, 2021 - CIMMYT Research Data
Dreisigacker, Susanne, 2021, "54IBWSN, 39SAWSN, and 32HRWSN - Gene-based marker data for marker-assisted selection", https://hdl.handle.net/11529/10548630, CIMMYT Research Data & Software Repository Network, V1
Gene-based marker data from international screening nurseries for marker-assisted selection.
Replication Data for: Bayesian multi-trait kernel methods improve multi-environment genome based prediction
Nov 15, 2021 - CIMMYT Research Data
Montesinos-López, Osval A.; Montesinos-López, José Cricelio; Montesinos-López, Abelardo; Ramírez-Alcaraz, Juan Manuel; Poland, Jesse; Singh, Ravi; Dreisigacker, Susanne; Crespo Herrera, Leonardo Abdiel; Govindan, Velu; Juliana, Philomin; Huerta Espino, Julio; Shrestha, Sandesh; Varshney, Rajeev K.; Crossa, Jose, 2021, "Replication Data for: Bayesian multi-trait kernel methods improve multi-environment genome based prediction", https://hdl.handle.net/11529/10548629, CIMMYT Research Data & Software Repository Network, V1
When 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...
Daily wheat canopy temperature and meteorological data for IWIN locations
Nov 5, 2021 - CIMMYT Research Data
Montes, Carlo; Schulthess, Urs; Lashkari, Azam, 2021, "Daily wheat canopy temperature and meteorological data for IWIN locations", https://hdl.handle.net/11529/10548626, CIMMYT Research Data & Software Repository Network, V1
Dataset of daily canopy temperature and meteorological data from the ECMWF’s AgERA5 product for the period 1979 though 2020, and for 785 points belonging to the International Wheat Improvement Network (IWIN). Wheat canopy temperature was estimated from a linear model using maximu...
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