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°.

Phenotypic and genotypic data of BARTAI x CIANOT79 (BC) and CASCABEL x CIANOT79 (CC) populations, for QTL mapping on spot blotch resistance

A large-scale genome-wide association study was carried out to dissect the genetic architecture of wheat grain yield potential and stress-resilience. Based on the findings, grain yield-associated marker profiles were generated for a large panel of 73,142 wheat lines and the grain-yield favorable allele frequencies were also determined. The marker profile...

These data describe the evaluation of landrace-derived pre-breeding materials for biotic and abiotic stress resistance as well as for blue maize production in 2018. Populations of interest for drought stress during flowering time, heat stress during flowering time, Tar Spot tolerance, and blue maize production were evaluated for yield potential and...

In breeding, the net genetic merit of candidates for selection is a linear combination of the breeding values of the traits of interest weighted by their respective economic values. This dataset contains the R code that accompanies a publication that describes an evaluation of linear phenotypic selection indices (LPSI) and Bayesian linear phenotypic...

We examined soil organic matter (OM) dynamics in a wheat (Triticum durum L.) – maize (Zea mays L.) irrigated bed planting system established in 1992 at the Campo Experimental Norman E. Borlaug (CENEB) near Ciudad Obregón, Sonora, Mexico (27°33’N, 109°09’W; elevation 38 m). The location has an arid subtropical climate with a mean annual temperature of 23.7...

Current limitations on phenotyping EW restrict the integration of this secondary trait into wheat breeding pipelines. In this study we evaluated the application of high-resolution spectral information as a proxy estimate of the trait and developed an efficient indirect method for the selection of genotypes with high EW density.