At present nearly half of the world’s population is under some form of government restriction to curb the spread of COVID-19, an extremely contagious disease. In Bangladesh, in the wake of five deaths and 48 infections from COVID-19, between March 24 and May 30, 2020 the government imposed a nationwide lockdown. While this lockdown restricted the spread...

Tar spot complex (TSC) is an important foliar disease for tropical maize. The data provided in this dataset were used to estimate the effectiveness of genomic selection for improving TSC resistance. The results of the analysis are reported in the accompanying journal article

The database contains data about water use in barley (Hordeum vulgare) and maize (Zea Mays) production in the Mexican Bajío. Water use and grain yield were evaluated under conventional tillage and under conservation agriculture in permanent raised beds, both under furrow irrigation and under drip irrigation. The data in this study were collected between...

Genotyping-by-Sequencing data of a training set consisting of 1340 CIMMYT elite lines and a validation set including 1925 F2 individual derived from 38 crosses and 21 parents from the training set.

Significant grain yield losses and poor grain quality can be caused by Common rust a major foliar disease in maize. This dataset provides the genotypic and phenotypic data that were used to perform genome-wide association studies (GWAS) and linkage analysis mapping to dissect the architecture of common rust resistance.

This dataset contains the results from three regional trials carried out in Eastern Africa in 2019. Each report focuses on a different product profile. Two reports present data for product profile EA-PP1, It focuses on includes early/intermediate-maturing white maize with multiple stress tolerance (drought, low N, MLN, MSV, TLB, GLS, ear rots) for the...

Several different genome-based prediction models are available for the analysis of multi-trait data in genomic selection. The supplemental files included in this dataset provide six extensive multi-trait wheat datasets (quality and grain yield) that enable the comparison of performance of genomic-enabled-prediction when calculating the prediction...

GBS genotypic data for a panel of 266 spring wheat lines from China, CIMMYT and other countries.

LSMS-ISA 2010-11, LSMS-ISA 2013-14, and LSMS-ISA 2015-16 of Uganda

Odjo et al. (2020) reported results on the effect of different storage technologies on postharvest losses of maize. CIMMYT and its network of collaborators implemented a second part of these experiments in 2017 and 2018 to evaluate the effect of different storage storages technologies on grain and seed quality under “controlled” (i.e., managed by...

The experiment was conducted in 2016 and 2017 in three regions in Oaxaca, Mexico. The design of the study was to evaluate fifteen combinations of tillage and weed management practices at each of the three sites, with each trial consisting of three blocks with a different type of tillage: zero tillage (ZT), minimum tillage (MT) and conventional tillage...

In breeding, the plant net genetic merit may be predicted through the linear phenotypic selection index (LPSI). This paper associated with this dataset proposes a Bayesian LPSI (BLPSI). The supplemental files provided in this dataset include data that were used to compare the two indices as well as figures showing the results from these comparisons. The...

Phenotypic and genotypic data of WUYA x CIANOT79 (WC) and KATH x CIANOT79 (KC) populations, for QTL mapping on spot blotch resistance

In breeding, multi-trait data can be used with different models for genomic prediction analyses. The data files associated with this dataset were used to explore Bayesian multi-trait kernel methods for genomic prediction and to compare the performance of the different analyses.

This dataset contains information about the performance of maize inbred lines in Eastern Africa following inoculation with aflatoxin. The aflatoxin-related traits described in the dataset are: AFLTXB1 = Aflatoxin B1; AFLTXB2 = Aflatoxin B2; AFLTXG1 = Aflatoxin G1; AFLTXG2 = Aflatoxin G2, and AFLTXPPB = Aflatoxin Total.

Genotypic data for the South Asian panel with 184 lines intended for multiple diseases resistance analysis

Global data set of daily vapor pressure deficit calculated at time of maximum temperture from hourly ECMWF ERA5 air temperature and dewpoint temperature. The dataset has a global coverage over land, daily time step, from 1979 through 2020, and files are provided yearly.

Sparse testing can be used in plant breeding and genome-based prediction. In sparse testing not all of the lines are sown in all environments. The phenotypic and genotypic data files provided in this dataset were used to execute an analysis of three general cases of the composition of the sparse testing allocation design for wheat breeding.

Heat tolerance is becoming increasingly important for maize grown in the spring season in India because heat stress can lead to devastating yield loss. The genotypic data provided in this dataset were used to carry out GWAS analyses on 662 doubled haploid lines to identify SNPs significantly associated with several traits under normal and heat stress...

Daily weather data from 1979 to 2019. The variables included are precipitation (mm), relative humidity max, relative humidity min, short wave radiation (MJ/m2/d), temperature max (°C), temperature min (°C), vapor pressure deficit max (kPa), wind speed 2m (m/s) and wind speed 10m (m/s). Data are world wide with a resolution of 0.1° x 0.1°.