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Selecciona los temas de tu interés y recibe en tu correo las publicaciones más actuales
Prashant Vikram Carolina Saint Pierre Thomas Payne Juan Burgueño Carolina Sansaloni (2017, [Dataset])
The Linked Topcross Population (LTP) was generated to introgress useful traits from wheat germplasm bank accessions, including synthetic hexaploids and landraces, into elite wheat varieties. In addition to generating pre-breeding materials selected for important traits such as heat and drought tolerance, this population has been used to generate data that can be useful for several applications, including genome-wide association studies.
Evaluation of Maize Landraces for Drought Tolerance in 2015
Terence Molnar Samuel Trachsel Juan Burgueño (2018, [Dataset])
Maize landraces were evaluated for drought tolerance in three locations in 2015.
Berhanu Tadesse Ertiro Yoseph Beyene Dan Makumbi Suresh L.M. Manje Gowda Anani Bruce Vijay Chaikam Fidelis Owino Walter Chivasa Aparna Das Nicholas J. Davis Pieter Rutsaert Juan Burgueño Prasanna Boddupalli (2023, [Dataset])
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 Eastern Africa and similar agro-ecological zones. Following rigorous trialing and a stage-gate advancement process and culminating in the 2022 Eastern Africa Regional On-Farm Trials, CIMMYT has advanced a total of 6 new elite maize hybrids, each of which met the stringent performance criteria for CIMMYT’s eastern Africa early (EAPP1B), intermediate (EAPP1A) or late (EAPP2) maize breeding pipelines. Phenotypic data collected in Stage 4 and Stage 5 trials for the selected hybrids as well as information about the trial sites are provided in this dataset. These trials were conducted through a network of partners, including NARES and private seed companies, in Eastern Africa under various management and environmental conditions.
KDSmart: Training Materials and Sample Files
Sarah Hearne Terence Molnar Kate Dreher Claudio César Ayala Hernández (2016, [Dataset])
KDSmart is an app that can be used for data collection on any Android-based tablet or smartphone. It has many helpful features for capturing data in field and lab settings. This study contains documents and presentations that describe how KDSmart can be used and includes example files for traits, trials/nurseries, and tags that can be downloaded and serve as templates for loading on any device running KDSmart. KDSmart es una aplicación que se puede utilizer para captura de datos en cualquier dispositivo tablet o smartphone que tenga base Android. Tiene características muy útiles para captura de datos en campo y laboratorio. Este estudi o contiene documentación y presentaciones que describen como se puede utilizar KDSmart, incluyendo como ejemplos archivos de características, ensayos/viveros y etiquetas, que se pueden descargar como formatos para cargarlos en cualquier dispositivo que contenga KDSmart.
Pablo Jaramillo-López Marcela Sarabia Simon Fonteyne Abel Saldivia Tejeda Nele Verhulst Mette Vestergård John Larsen (2023, [Dataset])
Six seed treatments were tested for 2 growing cycles (summer of 2021 and 2022) in a field experiment with maize (Zea mays L.) and barley (Hordeum vulgare L.) under conservation agriculture in the Mexican highlands, at CIMMYT’s experiment station of El Batán Texcoco, the State of Mexico, Mexico. The experiment was a randomized complete block design with 3 replicates, with separate areas for maize and barley. The six seed treatments included a negative control, a chemical seed treatment (different for maize and barley, depending on common practices in the area), Trichoderma, Metarhizium, a commercial mixture of plant growth promoting rhizobacteria, and a combination of Trichoderma and Metarhizium. Soil and root samples were taken at two and three sampling times during the 2021 crop cycle for barley and maize, respectively. Yield and yield components were determined at the end of the crop cycle in 2021 and 2022. The soil and root samples were used to measure root growth (root biomass per core), root colonization with mycorrhizal fungi, root infection with pathogens (Polymyxa, Pythium, Microdochium), soil microbial communities in terms of biomarker fatty acids, and ecological guilds of soil nematodes (Bacterivores, fungivores, plant parasitic and predators).
Genotypic data for the IND296 panel
Xinyao He Pawan Singh arun joshi Gyanendra Singh (2023, [Dataset])
GBS genotypic data for an Indian panel with 296 common wheat accessions.
Genotypic data (DArTAG panel 2) for the IBWSN and SAWSN
Susanne Dreisigacker (2023, [Dataset])
DArTAG panel 2 validation data on 1454 CIMMYT spring bread wheat elite lines included in the 53, 54 and 55IWBWSN and 38, 39 and 40 SAWSN. DArTAG panel 2 consists of 3897 selected SNPs.
Guillermo Gerard Paolo Vitale Susanne Dreisigacker Morten Lillemo Jose Crossa (2023, [Dataset])
This study provides supplemental data to support the study on Optimizing Genomic-Enabled Prediction: A Feature Weighting Approach for Enhancing within Family Accuracy.
21st High Temperature Wheat Yield Trial
Ravi Singh Carolina Saint Pierre (2023, [Dataset])
CIMMYT annually distributes improved germplasm developed by its researchers and partners in international nurseries trials and experiments. The High Temperature Wheat Yield Trial (HTWYT) is a replicated yield trial that contains spring bread wheat (Triticum aestivum) germplasm adapted to Mega-environment 1 (ME1) which represents high temperature areas.
Terence Molnar (2015, [Dataset])
This dataset contains pedigree information for the maize breeding materials generated through the Seeds of Discovery-Ma sAgro Biodiversidad project from 2013 through 2015. These tropical, subtropical and highland materials are being developed to introduce novel alleles for tar spot resistance, drought tolerance, and high-anthocyanin content into elite maize lines.