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43rd Elite Selection Wheat Yield Trial
Ravi Singh Carolina Saint Pierre (2023, [Dataset])
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 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.
Khondoker Mottaleb (2023, [Dataset])
Applying the difference-in-difference (DID) estimation procedure, this study quantifies the wheat blast (Magnaporthe oryzae pathotype Triticum) induced losses in wheat yield, quantity of wheat sold, consumed, or stored, as well as wheat grain value in Bangladesh in 2016 following a disease outbreak that affected over 15,000 hectares. Estimates show that the blast-induced yield loss was 540 kg ha-1 on average for households in the blast-affected districts. Estimated total wheat production loss was approximately 8,205 tons worth USD 2.1 million following the outbreak. Based on these insights, we discuss the need for long-term assured investment and concerted research efforts in controlling transboundary diseases such as wheat blast, including the importance of weather-forecast driven early warning systems and the dissemination of blast-resistant varieties.
Zerka Rashid Shyam Sunder Sharma Sudha Nair (2022, [Dataset])
The economically important post flowering stalk rot (PFSR) disease of maize known as Fusarium stalk rot (FSR) is caused by Fusarium verticillioides. A genome wide association study (GWAS) was conducted with 342 maize lines for identification and validation of genomic regions associated with FSR resistance. The genotypic and phenotypic data used for the analysis are included in this dataset and the results are reported in the accompanying article.
Wheat Blast Data for seven CIMMYT wheat nurseries during the 2022 cropping cycle
Pawan Singh Xinyao He Maria Itria Ibba (2023, [Dataset])
Wheat head blast index (%) data for seven CIMMYT nurseries (12HPAN, 13HLBSN, 13HZAN, 38SAWSN, 52IDSN, 53IBWSN, 54IBWSN) is presented. Field trials took place in Quirusillas and Okinawa (Bolivia) and Jashore (Bangladesh) during the 2022 cycles. Two sowings were made in each location/cycle.
32ND High Rainfall Wheat Screening Nursery
Ravi Singh Carolina Saint Pierre (2022, [Dataset])
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).
Striga presence in Africa: Historic data from different sources
Hugo De Groote Jonne Rodenburg Marc Cotter (2022, [Dataset])
Combines presence data of Striga hermonthica and Striga asiatica on different crops from four different sources, obtained from online publications or authors.
Genotypic and phenotypic data on wheat blast for the Alondra/Milan and Caninde#2/Milan-S populations
Xinyao He Pawan Singh (2021, [Dataset])
GBS genotypic data and raw phenotypic data on wheat blast for two bi-parental populations Alondra/Milan and Caninde#2/Milan-S
Khondoker Mottaleb (2021, [Dataset])
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.
Michael Olsen Prasanna Boddupalli Felix San Vicente Garcia XUECAI ZHANG (2021, [Dataset])
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
Evaluation of herbicides for weed control in beans in El Batán, México (2016)
Ravi Gopal Singh (2022, [Dataset])
Effectiveness of herbicides were compared during 2016 in El Batán, México. The results will be used to make recommendations to maize farmers for weed control.