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 upper altitudes of Eastern Africa and similar agro-ecologies in other regions. Following a rigorous trialing and a stage-gate...

The Soil Intelligence System (SIS-India) mid-IR (MIR) dataset contains MIR spectra and wet chemistry measurements (pH, EC, OC, N, P, K, S, B, Zn, Cu, Mn, Fe) for 3182 soil samples collected from randomly selected rice-wheat farmer fields spread uniformly within a KVK (government extension system) domain/district in Bihar, India. Soil sampling was...

CIMMYT annually distributes improved germplasm developed by its researchers and partners in international nurseries trials and experiments. The High Rainfall Wheat Yield Trial (HRWYT) contains very top-yielding advance lines of spring bread wheat (Triticum aestivum) germplasm adapted to high rainfall, Wheat Mega-environment 2 (ME2HR).

Phenotypic data of HIBAP I panel evaluated under yield potential and heat stress conditions during Obregon wheat seasons 2015-16 and 2016-17. Combined data across years per environment. The HIBAP I panel is comprised of 149 high biomass spring wheat lines of a variety of elite and exotic backgrounds. It was demonstrated how strategic integration of exotic...

GBS genotypic data for a Indian panel with 298 common wheat accessions.

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-ecologies in other regions. Each year, CIMMYT’s Global Maize Program conducts regional on-station...

In 2019, we conducted a survey through face-to-face interviews with farmers in the El Bajío region of Guanajuato using the GeoODK mobile phone app, an open-source tool. A database (2014–2019) of presumably active farmers in the innovation hub containing their corresponding municipalities was used to select the respondents in two stages. First, respondents...

In multi-environment yield trials, the use of sparse testing genomic selection enables increasing selection intensity or testing environments. The data presented in this dataset were used in the evaluation of different sparse testing genomic selection strategies in the early yield testing stage of CIMMYT spring wheat breeding pipeline. Phenotypic,...

FAOSTAT data

Our study region is located in the northwest of Mexico, in the Yaqui Valley, where most farmers predominantly grow crops under irrigated conditions during the winter months. Sowing typically starts in late October. Dry bean is one of the first crops to be sown (Table 1). Wheat, the dominant crop, is usually sown between mid-November and mid-December,...

Adoption of agronomic practices based on zero tillage and residue retention is increasing, due to their potential for climate change adaptation and mitigation. Genotype by tillage interactions for yield are not well understood. Fourteen CIMMYT bread (Triticum aestivum) and durum (Triticum turgidum) wheat genotypes, created between 1964 and 2011, were...

When genomic selection (GS) is used in breeding schemes, data from multiple generations can provide opportunities to increase sample size and thus the likelihood of extracting useful information from the training data. The Sparse Selection Index (SSI), is is a method for optimizing training data selection. The data files provided with this study include a...

GBS genotypic data for the IND100&BGD100 panel

Gene-based marker data from international screening nurseries for marker-assisted selection.

When multi-trait data are available and the degree of correlation between phenotypic traits is moderate or large, genomic prediction accuracy can increase when models are used that account for correlations between the phenotypic traits. The data files associated with this dataset were used to explore Bayesian multi-trait kernel methods for genomic...

Dataset of daily canopy temperature and meteorological data from the ECMWF’s AgERA5 product for the period 1979 though 2020, and for 785 points belonging to the International Wheat Improvement Network (IWIN). Wheat canopy temperature was estimated from a linear model using maximum air temperature, vapor pressure deficit, and solar radiation as inputs. The...

Improvements to local maize production systems need to be developed and validated together with the local farmers in order to generate a lasting impact. Therefore, CIMMYT coordinated, as part of the work in its innovation hub in Chiapas, the installation of side-by-side comparisons of improved practices (innovation modules) as well as field demonstrations...

This dataset includes the code and data for reproducing the results shown on the paper "Effects of spatial resolution of terrain models on modelled discharge and soil loss in Oaxaca, Mexico".

This table contains information of all the flowering genes known so far in wheat.

Compilation of information of all flowering QTL reported in 18 publications. This information has been used in meta-analysis conducted in the referred study to identify meta-QTL of flowering time.