Genomic prediction of hybrids unobserved in field evaluations is crucial. In this study, we used genomic G×E models for hybrid prediction, where similarity between lines was assessed by pedigree and molecular markers, and similarity between environments was accounted for by environmental covariables.

Genomic, pedigree, grain yield and hyperspectral data for the manuscript

One of the major issues in plant breeding is the occurrence of genotype by environment (GE) interaction. Several models have been created to understand this phenomenon and explore it by selecting the most stable genotypes. In the genomic era, several models were employed to simultaneously improve selection by using markers and account for GE interaction....

CIMMYT has Meteorological Records for each station office in Mexico. Many variables of weather are measured per day (rawdata) from wh​​ich daily, monthly and yearly sumaries are generated.​ These climate variables are measured by meteorological station and some of them are shown daily or hourly. Some of those variables are: Temperature, Rainfall, Solar...

CIMMYT has Meteorological Records for each station office in Mexico. Many variables of weather are measured per day (rawdata) from wh​​ich daily, monthly and yearly sumaries are generated.​ These climate variables are measured by meteorological station and some of them are shown daily or hourly. Some of those variables are: Temperature, Rainfall, Solar...

CIMMYT has Meteorological Records for each station office in Mexico. Many variables of weather are measured per day (rawdata) from wh​​ich daily, monthly and yearly sumaries are generated.​ These climate variables are measured by meteorological station and some of them are shown daily or hourly. Some of those variables are: Temperature, Rainfall, Solar...

CIMMYT has Meteorological Records for each station office in Mexico. Many variables of weather are measured per day (rawdata) from wh​​ich daily, monthly and yearly sumaries are generated.​ These climate variables are measured by meteorological station and some of them are shown daily or hourly. Some of those variables are: Temperature, Rainfall, Solar...

CIMMYT has Meteorological Records for each station office in Mexico. Many variables of weather are measured per day (rawdata) from wh​​ich daily, monthly and yearly sumaries are generated.​ These climate variables are measured by meteorological station and some of them are shown daily or hourly. Some of those variables are: Temperature, Rainfall, Solar...

CIMMYT has Meteorological Records for each station office in Mexico. Many variables of weather are measured per day (rawdata) from wh​​ich daily, monthly and yearly sumaries are generated.​ These climate variables are measured by meteorological station and some of them are shown daily or hourly. Some of those variables are: Temperature, Rainfall, Solar...

CIMMYT has Meteorological Records for each station office in Mexico. Many variables of weather are measured per day (rawdata) from wh​​ich daily, monthly and yearly sumaries are generated.​ These climate variables are measured by meteorological station and some of them are shown daily or hourly. Some of those variables are: Temperature, Rainfall, Solar...

The emergence of wheat-blast disease in Bangladesh in the 2015-16 wheat (Triticum aestivum) crop threatens the food security of South Asia. As wheat is the second most important staple and India has been emerging as a net wheat exporter, a potential spread of the disease from Bangladesh to India could have devastating impacts on India’s overall food...

Machine learning (ML) is a field of computer science that uses statistical techniques to give computer systems the ability to "learn" (i.e., progressively improve performance on a specific task) from data, without being explicitly programmed to do this. ML is closely related to (and often overlaps with) computational statistics, which also focuses on...

Household survey was conducted by International Maize and Wheat Improvement Centre (CIMMYT) as part of CGIAR research program on Climate Change Agriculture and Food Security (CCAFS) in Karnal district of Haryana state and Vaishali district of Bihar state in India. The overall aim is to identify high-yield low-emission development pathways in cereal...

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.

CIMMYT annually distributes improved germplasm developed by its researchers and partners in international nurseries trials and experiments. The High Rainfall Wheat Screening Nursery (HRWSN) contains spring bread wheat (Triticum aestivum) germplasm adapted to high rainfall areas (Mega-environment 2).

CIMMYT annually distributes improved germplasm developed by its researchers and partners in international nurseries trials and experiments. The High Rainfall Wheat Screening Nursery (HRWSN) contains spring bread wheat (Triticum aestivum) germplasm adapted to high rainfall areas (Mega-environment 2).

The Semi-Arid Wheat Yield Trial (SAWYT) is a replicated yield trial that contains spring bread wheat (Triticum aestivum) germplasm adapted to low rainfall, drought prone environments typically receiving less than 500 mm of water available during the cropping cycle. The combination of water-use efficiency and water responsive broad adaptation plus yield...

The Elite Selection Wheat Yield Trial (ESWYT) is a replicated yield trial that contains spring bread wheat (Triticum aestivum) germplasm adapted to Mega-environment 1 (ME1) which represents the optimally irrigated, low rainfall areas. Major stresses include leaf, stem and yellow rusts, Karnal bunt, and lodging. Representative areas include the Gangetic...

The International Bread Wheat Screening Nursery (IBWSN) is designed to rapidly assess a large number of advanced generation (F3-F7) lines of spring bread wheat under Mega-environment 1 (ME1) which represents diversity for a wide range of latitudes, climates, daylengths, fertility conditions, water management, and (most importantly) disease conditions. The...

The 2016 Agronomy Panel Survey (APS) for Tanzania is the first wave of a yearly farm household panel dataset collected under the BMGF-funded project Taking Maize Agronomy to Scale in Africa (TAMASA), in collaboration with the Sustainable Intensification Innovation Lab (SIIL). The APS is a detailed farm household survey with agronomic, yield and soils...