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 Elite Spring 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 Valley (India), the Indus Valley (Pakistan), the Nile Valley (Egypt), irrigated river valleys in parts of China (e.g. Chengdu), and the Yaqui Valley (Mexico). This ME encompasses 36 million hectares spread primarily over Asia and Africa between 350S -350N latitudes. White (amber)-grained types are preferred by consumers of wheat in the vast majority of the areas. It is distributed to upto 200 locations and contains 50 entries.
This dataset contains the genotypic data used identify dispersal patterns of maize genetic diversity in the lowlands of South America. In the study, 184 maize accessions were characterized with 5,313 single nucleotide polymorphisms (SNPs).
The experiment was initiated in 2008 and concluded in 2018 to evaluate the performance of durum wheat (Triticum durum L.) under conventionally tilled (CTB) and permanent beds (PB) under two sowing irrigation practices and five nitrogen (N) fertilization treatments in northwestern Mexico. It was located at the Norman E. Borlaug Experiment Station (CENEB) near Ciudad Obregón, Sonora, Mexico (lat. 27°22010″N, long. 109°55051″E, 38 masl) and had a randomized complete block design for four environments (ENV) that combined tillage and sowing irrigation practice: CTB with wet and dry sowing and PB with wet and dry sowing. The PB treatments had been under conservation agriculture for over ten years previously to the experiment. Plots were defined by N fertilizer management, with three replicates. Plots were 3 m wide (4 beds of 0.75 m width) and 10 m long, a space of 30 m2. The CTB were tilled after each crop with a disk harrow to 20 cm depth and new beds were formed. The PB were only reshaped every year in the furrow without disturbing the soil on the bed. In wet sowing, 100-120 mm irrigation was applied two-to-three weeks before sowing; in dry sowing, the field was irrigated one or two days after sowing, which provided higher soil moisture content during germination than wet sowing. Four auxiliary irrigations of 80-100 mm were applied to all plots each cycle. The N fertilizer treatments consisted of a control treatment with no N fertilizer and five treatments with different doses and divisions between first and second fertilization applied as urea. The basal N application was done on the same day as the pre-sowing irrigation, applying the fertilizer in the furrow and incorporating it through irrigation. The N application at first node was completed immediately prior to the first auxiliary irrigation. Nitrogen was applied either once (basal) or split between pre-sowing and first node (split). The data set contains daily weather data for the weather station closest to the experimental site for 2008-2018 (reference evapotranspiration, precipitation, minimum and maximum temperature), yield data (grain yield, biomass yield and straw yield for durum wheat), grain quality data (test weight and thousand kernel weight), and plant physiological data (plant stand, days from flowering to maturity, NDVI) for 2009-2018, grain and straw N data for three years, soil temperature for two years and soil moisture for one year.
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 of COVID-19, in the absence of effective support, it can generate severe food and nutrition insecurity for daily wage-based workers. Of the 61 million employed labor force in Bangladesh, nearly 35% of them are paid on a daily basis. This study examines the food security and welfare impacts of the COVID-19 induced lockdown on daily wage workers both in the farm and nonfarm sectors in Bangladesh. Using information from more than 50,000 respondents complied from 2016-17 Household Income and Expenditure Survey (HIES) in Bangladesh, this study estimates daily wage rates as Bangladesh Taka (BDT) 272.2 in the farm sector and BDT 361.5 in the nonfarm sector. Using the estimated daily wages earnings, this study estimates that a one-day complete lockdown generates a US$64.2 million equivalent economic loss only considering the wage loss of the daily wage workers. After estimating the daily per capita food expenditure separately for farm and nonfarm households, this study estimates a minimum compensation package for the daily wage-based farm and nonfarm households around US $ 1 per day per household to ensure minimum food security for the daily wage-based worker households.
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 2016 and 2021 in CIMMYTs’ Bajío innovation hub in a research platform (a dedicated field experiment) and in innovation modules (side by side comparisons in farmers’ fields). For the platform, de data base contains data of three maize (summer) and three barley (winter) cycles, including water use, grain yield and data on key field operations. For the farmers’ fields, the data base contains the yield and water use data from 23 modules, as well as fuel use and soil health data from a subset of modules.
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.