A standard quantitative genetic model was used to examine how genotype-environment interactions have changed over the past decades from four spring wheat trial data sets. The variability of cross interactions for yield from one year to another is explained in more than 70% by climatic factors.

Climate change and soil fertility decline are major threats to smallholder farmers' food and nutrition security in southern Africa, and cropping systems that improve soil health are needed to address these challenges. Cropping systems that invest in soil organic matter, such as no-tillage (NT) with crop residue retention, have been proposed as potential...

Conservation agriculture (CA)—the simultaneous application of minimum soil disturbance, crop residue retention, and crop diversification—is a key approach to address declining soil fertility and the adverse effects of climate change in southern Africa. Applying the three defining principles of CA alone, however, is often not enough, and complementary...

Grain yield data collected from Conservation Agriculture (CA) systems across experiments of varying experimental duration, established in trial locations of Malawi, Mozambique, Zambia, and Zimbabwe under an increasingly variable climate. Data contains different agro-environmental yield response moderators such as type of crop diversifcation and amount of...

Weeds are responsible for major crop losses worldwide but can provide beneficial agroecosystem services. This study aimed to elucidate how arbuscular mycorrhizal fungi (AMF) in weeds respond to host identity and conservation agricultural practices. The study was carried out at two locations in Southern Africa during off-season and in-season maize...

Weed development is one of the major constraints to cereal cropping systems in Southern Africa with potential severe crop losses. Understanding weed community responses to different conservation agriculture (CA) components (i.e., no-tillage, NT; crop rotation, R; and mulching, M) and/or their combinations is crucial in Southern Africa where farmers apply...

Maize is increasingly being grown in the winter season in South Asia when there are low prevailing temperatures and frequent cold snaps. Therefore,.elite varieties must have cold resilience as an important trait. The current study identified a suite of genomic loci associated with grain yield along with agronomic traits such as flowering time and plant...

Dataset of total number of potential infections of wheat blast during the heading stage in Asia for the period 1981 though 2019 calculated using a generic infection model and hourly weather data from ERA5 reanalysis

In 2004 and 2005 CIMMYT organized Regional Trials to evaluate early-maturing (EPOP05) and intermediate- to late-maturing (ILPOP05) open-pollinated varieties (OPVs) across eastern and Southern Africa. Phenotypic data are provided in this dataset. These trials were conducted through a network of partners, including NARS and private seed companies, in...

Phenotypic data collected in 2019 Stage 4 and 2020 Stage 5 trials for CIMMYT maize hybrid JH1104 as well as information about the trial sites are provided in this dataset. These trials were conducted through a network of partners, including NARS and private seed companies in Eastern Africa under various management and environmental conditions.

Dataset of daily fine particular matter (PM2.5) emissions for the period 2012 though 2020. Emissions were calculated from wheat and rice production statistics and active fires from the Visible Infrared Imaging Radiometer Suite (VIIRS) 375-m product. Rice harvest period was considered from October to November, and wheat harvest from April through May.

Data from two CIMMYT and KALRO household surveys representative of six maize production areas or agroecological zones in Kenya. The surveys were conducted in 2010 and 2013 collected data on farmer demographics, adoption of improved technologies and practices, marketing, access to agricultural information, and farmer adaptation to climate change.

The Stem Rust Resistance Screening Nursery is a single replicate nursery that contains diverse spring bread wheat (Triticum aestivum) germplasm adapted to all mega-environments with total 50-100 entries and white/red grain color.

CIMMYT develops and distributes elite tropical CIMMYT maize lines (CMLs) for use around the world. This dataset contains genotypic profiles for all 615 of the CML lines released by 2022 and fourteen temperate maize inbred lines. All lines were genotyped with 180 kompetitive allele-specific PCR (KASP) markers. These data were used to generate a reference...

Wheat productivity in eastern Indo-Gangetic plain is sub-optimal that can largely be attributed to delayed wheat sowing and use of late sown varieties. Ideal time of sowing wheat in eastern India is first fortnight of November but in general, it gets delayed by 15-25 days. This delay puts farmers in a situation where they tend to prefer late sown...

Empirical studies of early generation genomic selection strategies for parental selection or population improvement are still lacking in wheat and other major crops. We show the potential of rapid-cycle recurrent GS to increase genetic gain for grain yield in wheat. We show a consistent realized genetic gain for grain yield after three cycles of...

This experiments were established with different rates of nitrogen in order to generate a wide range of values for NDVI and grain yield in order to develop a calibration model for the GreenSeeker in Sinaloa.

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. Following a rigorous trialing and a stage-gate advancement process culminating in...

In plant breeding, sparse testing methods have been suggested to improve the efficiency of the genomic selection methodology. The data provided in this dataset were used to evaluate four methods for allocating lines to environments for sparse testing in multi-environment trials. The analysis was conducted using a multi-trait and uni-trait framework. The...

This experiments were established with different rates of nitrogen in order to generate a wide range of values for NDVI and grain yield in order to develop a calibration model for the GreenSeeker in Oaxaca.