Soil properties predicted from mid-infrared spectral (MIRS) analysis of soil samples collected in 2023 (second year) before and/or after establishing on-farm trials on yield response to lime rates in Ethiopia

Selected soil properties were predicted from 232 topsoil samples subjected to spectral analysis (MIRS). A subset of samples were also subjected to wet chemistry analysis, and results were used to calibrate a machine-learning algorithm developed by the International Centre for Research in Agroforestry (ICRAF) in Kenya. Coordinates were truncated to protect farmer's privacy. Unless specified, all properties were predicted. This dataset can be linked with yield data (coming soon) and previous soil analysis data (https://hdl.handle.net/11529/10549136) through the unique farm identifer "fid". A link is provided to match terms used in the "terminag" GitHub (https://github.com/reagro/terminag/) as of June 2025.</p

CIMMYT-derived Fall Armyworm (FAW) Tolerant Elite Maize Hybrids for Eastern and Southern Africa

The fall armyworm (FAW; Spodoptera frugiperda) has emerged as a serious threat to maize production in Africa since 2016, and in Asia since 2018. Host plant resistance is an important component of integrated pest management (IPM). Leveraging on CIMMYT’s tropical insect-resistant maize germplasm developed in Mexico, coupled with elite stress-resilient maize germplasm developed in sub-Saharan Africa, CIMMYT conducted intensive efforts over three years to identify and validate sources of native genetic resistance to FAW in Africa. This included screening more than 3500 hybrids in 2018 and 2019. In 2020, CIMMYT evaluated a set of eight selected test hybrids (based on on-station results for FAW tolerance during trials in 2018-2019) along with four widely used commercial hybrids under different experiments/trials. The results of the trials for the three selected FAW tolerant hybrids as well as the checks are presented in this dataset

Varietal performance and farmer seed choice in Kenya: Experimental data from farmer interventions

Field survey conducted in Eastern Kenya, in Embu and Kirinyaga counties in March 2024, covering 1175 households

Soil properties predicted from mid-infrared spectral (MIRS) analysis of soil samples collected in 2023 (second year) before and/or after establishing on-farm trials on yield response to lime rates in Rwanda

Selected soil properties were predicted from 524 topsoil samples subjected to spectral analysis (MIRS). A subset of samples were also subjected to wet chemistry analysis, and results were used to calibrate a machine-learning algorithm developed by the International Centre for Research in Agroforestry (ICRAF) in Kenya. Coordinates were truncated to protect farmer's privacy. Unless specified, all properties were predicted. This dataset can be linked with yield data (coming soon) and previous soil analysis data (https://hdl.handle.net/11529/10549138) through the unique farm identifer "fid". A link is provided to match terms used in the "terminag" GitHub (https://github.com/reagro/terminag/) as of June 2025</p

2017 CIMMYT Product Announcement and Results of the Maize Regional Trials for for Southern Africa for 2017

The summary results of the Regional Trials for CIMMYT Maize Hybrids in Southern Africa for 2017. The trials include EHYB17 - Early maturing hybrids. IHYB17 - Medium maturing hybrids. WEHYB17 - Early and medium maturing WEMA hybrids. LHYB17 - Late maturing hybrids. WLHYB17 - Medium and late maturing WEMA hybrids. ADVQPM17 - QPM hybrids. </ol

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

Genotyping data from marker-assisted introgression of the BNI short arm translocation (T3BL.3NsbS) into CIMMYT elite germplasm (2024 and 2025)

Wheat Blast Data for four CIMMYT wheat nurseries during the 2024 cropping cycle

Wheat head blast index (%) data for four CIMMYT nurseries (15HLBSN, 15HZAN, 41SAWSN, and 56IBWSN) is presented. Field trials took place in Quirusillas and Okinawa (Bolivia) and Jashore (Bangladesh) during the 2024 cycles. Two sowings were made in each location/cycle except for Quirusillas where only one sowing was made

Monitoreo y caracterización fenológica y climatológica sobre áreas cultivadas en la región Mixteca Oaxaqueña

El conjunto de datos describe un monitoreo integral de la fenología en la región Mixteca de Oaxaca, México, una zona predominantemente agrícola de temporal en la que los pequeños agricultores cultivan milpa (maíz, frijol y calabaza) de manera tradicional. Para evaluar el impacto del cambio climático en los ciclos agrícolas, se emplearon datos satelitales de MODIS y datos meteorológicos en cuadrícula provenientes de plataformas como Daymet y AgERA5, con una resolución de 1 km, que abarcan desde 1980 hasta 2024. Estos datos permiten determinar con precisión el inicio, pico y final de la temporada de crecimiento de los cultivos en la región, así como analizar tendencias climáticas y fenoclimáticas a lo largo de más de 40 años. Los análisis revelan que, en promedio, la temporada de cultivo comienza alrededor del 3 de junio, con el pico vegetal entre el 12 de agosto y el 9 de septiembre, y la finalización en finales de noviembre. Además, se detectó un aumento en la frecuencia de eventos de sequía y una disminución significativa en las precipitaciones a partir de 2013, evidenciando un cambio en las condiciones climáticas que afecta directamente la producción agrícola. Los mapas geoespaciales generados con TIMESAT permiten visualizar estos cambios a diferentes escalas, facilitando la toma de decisiones para la gestión agrícola y la adaptación al cambio climático. El conjunto de datos incluye archivos en diversos formatos (PDF, ZIP, NetCDF, CSV), con información sobre precipitaciones, temperaturas, radiación solar y estadísticas fenológicas, abarcando desde 1980 hasta 2023. Estos datos serán utilizados para desarrollar soluciones personalizadas y específicas para cada subregión, con el fin de mitigar el impacto del cambio climático en los medios de vida de los pequeños agricultores en la región Mixteca. The dataset describes a comprehensive monitoring of phenology in the Mixteca region of Oaxaca, Mexico, an area predominantly engaged in rainfed agriculture where small farmers traditionally cultivate milpa (maize, beans, and squash). To evaluate the impact of climate change on agricultural cycles, satellite-based MODIS data and gridded meteorological data from platforms such as Daymet and AgERA5 were used, with a resolution of 1 km, covering the period from 1980 to 2024. These data allow for precise determination of the start, peak, and end of the crops’ growing season, as well as analysis of climatic and phenoclimatic trends over more than 40 years. The analyses reveal that, on average, the planting season begins around June 3rd, with the vegetation peak between August 12th and September 9th, and the harvest ending in late November. Additionally, an increase in the frequency of drought events and a significant decrease in rainfall since 2013 have been observed, indicating a change in climatic conditions that directly affects agricultural production. The geospatial maps generated with TIMESAT enable visualization of these changes across different scales, facilitating decision-making for agricultural management and climate adaptation. The dataset includes files in various formats (PDF, ZIP, NetCDF, CSV) containing information on precipitation, temperatures, solar radiation, and phenological statistics, covering the period from 1980 to 2023. These data will be used to develop tailored, subregion-specific solutions aimed at mitigating the impacts of climate change on the livelihoods of small farmers in the Mixteca region.</p

Replication Data for: Farm production, marketing, and children's nutritional outcomes in rural Zambia

The collected data originate from a study conducted in the Eastern and Northern provinces of Zambia during the low season (December 2019 to February 2020). The sample includes 528 households selected through random sampling in various agricultural camps, with information on agricultural production, marketing decisions, seasonal food prices, food consumption, nutritional content of crops, and anthropometric measures of children under five years old. The households are located in the districts of Katete in the Eastern Province and Mbala in the Northern Province. Additionally, sociodemographic data and information on access to services were collected, along with variables related to crop diversification and household resources. The data were used to analyze the relationship between nutrient deficiencies from own production (NDOP), food sale and consumption decisions, and child growth outcomes, employing econometric methods to address potential endogeneity biases.</p

2016 CIMMYT Product Announcement and Results of the Maize Regional Trials for for Southern Africa for 2016

Summarized results from the Regional Trials for CIMMYT Maize Hybrids in Southern Africa for 2016. These trials included: 1. EHYB16 – Early/extra-early maturing elite pre-released and released hybrids regional trial; 2. IHYB16 – Intermediate maturing elite pre-released and released hybrids regional trial; 3. LHYB16 – Late maturing elite pre-released and released hybrids regional trial; 4. WEHYB16 – Early maturing elite pre-released and released WEMA project hybrids regional trial; 5. WLHYB16 – Medium/Late maturing elite pre-released and released WEMA project hybrids regional trial; 6. ADVQPM16 – Advance elite pre-released and released quality protein maize (QPM) hybrids regional tria