461 to 470 of 952 Results
San Vicente, Felix; Chassaigne, Alberto; Dhliwayo, Thanda; Palacios Rojas, Natalia; Silva, Arturo; Zhang, Xuecai; Leyva, Mayolo; Olsen, Michael; Das, Aparna; Davis, Nicholas; Prasanna, B.M., 2021, "2021 CIMMYT Maize Latin America Product Announcement / Anuncio de Productos de Maíz de CIMMYT en Latinoamérica", https://hdl.handle.net/11529/10548612, CIMMYT Research Data & Software Repository Network, V2
New 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. Follow... |
Sep 6, 2021
Verhulst, Nele; Fischer, Tony; Honsdorf, Nora; Lilley, Julianne; Mondal, Suchismita; Ortíz-Monasterio Rosas, José Iván, 2021, "On-farm irrigated wheat yield in the Yaqui Valley in north-west Mexico from 1960 to 2019", https://hdl.handle.net/11529/10548614, CIMMYT Research Data & Software Repository Network, V1, UNF:6:Son4/++LRwAvBTyH5apX9Q== [fileUNF]
(prepared R.A.(Tony) Fischer 14 August 2021) This dataset contains three data files that were obtained and/or constructed an analysis of 60 years’ yield progress with irrigated wheat yield in northwest Mexico: 1. Wheat harvested area and average yield each harvest year for the ir... |
Aug 30, 2021
Montesinos-López, Osval A.; Montesinos-López, José Cricelio; Ramírez-Alcaraz, Juan Manuel; Poland, Jesse; Singh, Ravi; Dreisigacker, Susanne; Crespo Herrera, Leonardo Abdiel; Mondal, Suchismita; Govindan, Velu; Juliana, Philomin; Huerta Espino, Julio; Shrestha, Sandesh; Varshney, Rajeev K.; Montesinos-López, Abelardo; Crossa, Jose, 2021, "Replication Data for: Bayesian multi-trait kernel methods for multi-environment genome based prediction", https://hdl.handle.net/11529/10548565, CIMMYT Research Data & Software Repository Network, V2
In breeding, multi-trait data can be used with different models for genomic prediction analyses. The data files associated with this dataset were used to explore Bayesian multi-trait kernel methods for genomic prediction and to compare the performance of the different analyses. |
Aug 18, 2021
Rashid, Zerka; Kaur, Harleen; Babu, Veerendra; Kumar Singh, Pradeep; Harlapur, Sharanappa; Krishnan Nair, Sudha, 2021, "Replication Data for: Identification and validation of genomic regions associated with charcoal rot resistance in tropical maize by genome-wide association and linkage mapping", https://hdl.handle.net/11529/10548606, CIMMYT Research Data & Software Repository Network, V1
Charcoal rot, caused by the fungal pathogen, Macrophomina phaseolina, is a serious concern for small holder maize cultivation. It can cause significant yield loss and plant lodging at harvest. A genome wide association study (GWAS) was conducted using the CIMMYT Asia panel of 396... |
Aug 11, 2021
Verhulst, Nele; Saldivia Tejeda, Abel; Guan, Taiyu; Fonteyne, Simon, 2021, "Yield of maize, wheat and barley planted on wide and narrow permanent beds, under irrigated and rainfed conditions in Mexico", https://hdl.handle.net/11529/10548609, CIMMYT Research Data & Software Repository Network, V1, UNF:6:bMwiJ4W0pL9LG8olmN3meA== [fileUNF]
We investigated the effect of bed width on grain yield under irrigated and rainfed conditions, for crops grown on permanent beds, where the top of the raised beds is not tilled. The study included nine sites in Central Mexico, where wide and narrow permanent beds were compared at... |
Aug 9, 2021
Rosales, Aldo; Crossa, Jose; Cuevas, Jaime; Cabresa-Soto, Luisa; Dhliwayo, Thanda; Ndhela, Thokozile; Palacios-Rojas, Natalia, 2021, "Replication Data for: Bayesian linear regression near infrared spectroscopy (NIR) to predict provitamin A carotenoids content in maize breeding programs", https://hdl.handle.net/11529/10548607, CIMMYT Research Data & Software Repository Network, V1, UNF:6:Sn+Cha1IESek2Vd+7+VhgA== [fileUNF]
Vitamin 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. Selecti... |
Aug 8, 2021
Lopez-Cruz, Marco; Beyene, Yoseph; Gowda, Manje; Crossa, Jose; Pérez-Rodríguez, Paulino; de los Campos, Gustavo, 2021, "Replication Data for: Multi-generation genomic prediction of maize yield using parametric and non-parametric sparse selection indices", https://hdl.handle.net/11529/10548608, CIMMYT Research Data & Software Repository Network, V1
Genomic 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 und... |
Aug 5, 2021
Malaquias Costa, Flaviane; de Almeida Silva, Natalia Carolina; Vidal, Rafael; Clement, Charles Roland; de Oliveira Freitas, Fabio; Petroli, Cesar Daniel; Veasey, Elizabeth Ann, 2021, "Replication Data for: Maize dispersal patterns associated with different types of endosperm and migration of indigenous groups in lowland South America", https://hdl.handle.net/11529/10548583, CIMMYT Research Data & Software Repository Network, V1
This dataset contains the genotypic data used identify dispersal patterns of maize genetic diversity in the lowlands of South America. In the study, 184 maize accessions were characterized with 5,313 single nucleotide polymorphisms (SNPs). |
Aug 2, 2021
Molnar, Terence; Trachsel, Samuel; Burgueño, Juan; Sifuentes Ibarra, Ernesto; Vidal, Victor; Macías Cervantes, Jaime, 2018, "Evaluation of Maize Landraces for Drought Tolerance in 2015", https://hdl.handle.net/11529/2177350, CIMMYT Research Data & Software Repository Network, V4, UNF:6:RBQ51+yOWc3yB/mf/XO0jA== [fileUNF]
Maize landraces were evaluated for drought tolerance in three locations in 2015. |
Jul 20, 2021
Cao, Shiliang; Song, Junqiao; Yuan, Yibing; Zhang, Ao; Ren, Jiaojiao; Liu, Yubo; Qu, Jingtao; Hu, Guanghui; Zhang, Jianguo; Wang, Chunping; Cao, Jingsheng; Olsen, Michael; Prasanna, Boddupalli M.; San Vicente, Felix; Zhang, Xuecai, 2021, "Replication Data for: Genomic prediction of resistance to Tar Spot Complex of maize in multiple populations using genotyping-by-sequencing SNPs", https://hdl.handle.net/11529/10548579, CIMMYT Research Data & Software Repository Network, V1
Tar spot complex (TSC) is an important foliar disease for tropical maize. The data provided in this dataset were used to estimate the effectiveness of genomic selection for improving TSC resistance. The results of the analysis are reported in the accompanying journal article |
