CIMMYT Research Data & Software Repository Network
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1114 research outputs found
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ROFT Design generator
No full textThe On-Farm Experimental Design application is a tool designed to help researchers plan and optimize experimental designs for On-Farm trials although not exclusively. The application automatically generates multiple balanced and partially balanced design configurations for which efficiency is calculated. Offering various options to suit different experimental requirements and efficiencies from which the researcher can choose the most suitable option. The tool is particularly useful for studying multiple treatments (checks and genotypes) distributed across multiple on-farm locations with the options to stratify the farmers by additional factors like region, country, gender
Replication Data for: Nonlinear Genomic Selection Index Accelerates Multi-Trait Crop Improvement
No full textThe data in this dataset are used to explore the Quadratic Genomic Selection Index (QGSI), a genomic extension of the quadratic phenotypic selection index (QPSI) that integrates genomic estimated breeding values (GEBVs) within a unified quadratic framework. Classical linear phenotypic (LPSI) and genomic (LGSI) selection indices assume additivity and linearity. This can limit their ability to exploit nonlinear trait relationships. QGSI combines additive, squared, and cross-product terms of GEBVs. It enables phenotype-free, rapid-cycle multi-trait selection while capturing genome-wide nonlinear relationships. Two genomic prediction strategies were used to evaluate QGSI: (i) a maximum-likelihood additive genomic model and (ii) a nonlinear multi-trait Gaussian kernel (reproducing kernel Hilbert space, RKHS) model that accommodates epistatic signals. Analyses were performed using multiple real wheat datasets. The results of the comparisons are reported in the accompanying article
Anonymized GENNOVATE Data
No full textThe GENNOVATE metadata is hosted separately on Dataverse and can be accessed via this DOI: https://doi.org/10.71682/10549388.
As a global comparative research initiative, GENNOVATE examines how gender norms and agency influence the adoption of agricultural and natural resource management innovations among men, women, and youth. This collection comprises qualitative datasets from 108 rural communities across 23 countries, representing over 7,000 participants from diverse socioeconomic and age groups. By capturing focus group discussions and individual interviews, the data provides a cross-contextual analysis of how gendered expectations—or social rules—shape an individual’s ability to access, adapt, and benefit from agricultural advancements
Preliminary yield and agronomic data for CIMMYT elite spring wheat lines carrying the N and H chromosome segments from Leymus racemosus and the I chromosome segments from Leymus mollis.
No full textPreliminary yield and agronomic trial data collected from 6 different trials carried out in the 2024/2025 season at CENEB Obregon field station. Trial 1,2 and 3 comprise of CIMMYT spring wheat introgression lines carrying the I chromosome from Leymus mollis while Trial 4, 5 and 6 comprise of lines carrying Leymus racemosus T3BL.3NS with BNI activity, H chromosomes also from L. racemosus, and some lines with the I chromosome from L. mollis
GENNOVATE Collection - Metadata
No full textThese are the rich metadata developed using the Open Ontology-Based Interoperable Information Asset Metadata Schema (OIMS) approach for a subset of the derived anonymized collection of qualitative data collected by GENNOVATE between 2014 and 2018 covering 54 case studies (rural communities) from 7 countries (Bangladesh
Ethiopia, India, Kyrgyzstan, Nepal, Pakistan and Uzbekistan).
The corresponding derived anonymized qualitative GENNOVATE dataset is available here https://doi.org/10.71682/1054937
Yield trial data of CIMMYT Elite Spring Wheat lines with the BNI short arm translocation (T3BL.3NsbS) from Leymus racemosus in South Asia
No full textYield trial data of CIMMYT Elite Spring Wheat lines with the BNI short arm translocation in South Asia, 2024/25
Replication Data for: Multi-Omics Prediction for Yellow Rust in Bread and Durum Wheat Through Conventional and AI-based Frameworks
No full textYellow rust (YR) is a major threat to both bread and durum wheat production. In this study, we evaluated alternatives to visual scoring. We tested the predictability (PA) using genomic and phenomic data for YR severity under multiple prediction scenarios in one biparental bread wheat and one biparental durum wheat population. YR scoring was conducted on two dates, with YR severity visually assessed while a multispectral camera on an unmanned aerial vehicle (UAV) was used to conduct high-throughput phenotyping (HTP). All lines were also genotyped. We tested a diverse set of models, including parametric, machine learning, and deep learning approaches. The results of the analysis are reported in the accompanying article
Grain yield, grain quality and soil nitrogen data of CIMMYT Elite Spring Wheat lines with the BNI short arm translocation (T3BL.3NsbS) from Leymus racemosus in MEXICO
No full textGrain Yield and Grain Protein data of CIMMYT Elite Spring Wheat lines with the BNI short arm translocation (T3BL.3NsbS) from Leymus racemosus
CIMMYT datasets of KASP and STS markers associated with the marker-assisted introgression of the BNI short arm translocation (T3BL.3NsbS) from Leymus racemosus of the study
No full textGenotyping data from marker-assisted introgression of the BNI short arm translocation (T3BL.3NsbS) into CIMMYT elite germplasm (2024 and 2025)
Mid-density genotypic data (DArTAGTM DNA fingerprints) of BNI short arm (T3BL.3NsbS) translocation lines and their recurrent parents
No full textA number of BNI short arm (T3BL.3NsbS) translocation lines and their recurrent parents were fingerprinted with the DArTAGTM bread wheat SNP panel which is included in the CGIAR mid-density genotyping services (https://excellenceinbreeding.org/toolbox/services/mid-density-genotyping-service). This data server as a pedigree verification data set for the translocation lines