Search datasets for "queryValue"
62 datasets found for "queryValue"
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Quantifying wheat blast disease induced yield and production losses of wheat:... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaApplying 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...Created January 20, 2025 • Updated January 20, 2025 -
CIMMYT Maize Lines (CMLs) - Pedigree and characterization data N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaCIMMYT has periodically announced CIMMYT Maize Lines (CMLs). CMLs are carefully selected inbred lines with good general combining ability and a significant number of value-adding traits such as drought tolerance, N use efficiency, acid soil tolerance, resistance to diseases, insects and parasitic weeds. In many instances, they are parental lines of...Created January 20, 2025 • Updated January 20, 2025 -
Replication Data for: Measurements for multi-trait genomic-enabled prediction... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaSeveral 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...Created January 20, 2025 • Updated January 20, 2025 -
Grain quality data from CIMMYT bread wheat breeding program (2010-2015) N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaBread wheat breeding lines from yield and elite yield trials are analyzed annually for grain quality traits at the Wheat Chemistry and Quality Laboratory of CIMMYT. The analysis done are the following: grain morphology (test weight and thousand kernel weight), grain hardness and protein content, flour yield, flour protein content, SDS-sedimentation test,...Created January 20, 2025 • Updated January 20, 2025 -
Round II: Gender-disaggregated household survey data on rural women empowerme... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaThis dataset was generated as part of a research project that aimed to identify relevant gender considerations associated with wheat varietal development and the modifications required in wheat seed value chains in order to ensure inclusive diffusion of varieties and faster varietal turnover. Understanding the role that women play in agricultural...Created January 20, 2025 • Updated January 20, 2025 -
Survey of open-air drying operators in Kenya, 2018: Study of the technical an... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaThis file contains the data from a survey conducted with 122 respondents, found drying maize in open air along the roads in the towns and urban centers of major maize growing areas of Kenya (Bungoma, Trans Nzoia, Uasin Gishu and Nakuru) and Nairobi. Most of them were maize traders, but there were also some farmers and a few millers. They were interviewed...Created January 20, 2025 • Updated January 20, 2025 -
Replication Data for: Genome-based prediction of multiple wheat quality trait... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaThe use of genomic prediction could greatly help to increase the efficiency of selecting for wheat quality traits by reducing the cost and time required for this analysis. This study contains data used to evaluate the prediction performances of 13 wheat quality traits under two multi-trait models [Bayesian multi-trait multi-environment (BMTME) and...Created January 20, 2025 • Updated January 20, 2025 -
Replication Data for: Bayesian linear regression near infrared spectroscopy (... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaVitamin A deficiency (VAD) is a public health problem worldwide. For countries with a high per capita consumption of maize, breeding varieties with higher provitamin A carotenoid content than normal yellow maize — biofortification — can be a viable strategy to reduce VAD. Selection for provitamin A carotenoid content uses molecular markers and phenotypic...Created January 20, 2025 • Updated January 20, 2025 -
Application of a genomics selection index to real and simulated data N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaWe apply a Genomic Selection Index (GSI) to simulated and real data sets with four traits and numerically we compared its efficiency with that of the phenotypic selection index (PSI) using the ratio of the GSI response over the PSI response. In addition, we used two additional criteria to compare the GSI vs PSI efficiency: the ratio of the average of the...Created January 20, 2025 • Updated January 20, 2025 -
Replication Data for: A comparison between three machine learning methods for... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaGenomic selection (GS) provides a new way for plant breeders select the best genotype. It draws upon historical phenotypic and genotypic information for training a statistical machine learning model which is used for predicting phenotypic (or breeding) values of new lines for which only genotypic information is available. Many statistical machine learning...Created January 20, 2025 • Updated January 20, 2025 -
TAMASA Tanzania. Agronomy Panel Survey (APS) 2016. Crop Cut & Soil data N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaThe 2016 Agronomy Panel Survey (APS) for Tanzania is the first wave of a yearly farm household panel dataset collected under the BMGF-funded project Taking Maize Agronomy to Scale in Africa (TAMASA), in collaboration with the Sustainable Intensification Innovation Lab (SIIL). The APS is a detailed farm household survey with agronomic, yield and soils...Created January 20, 2025 • Updated January 20, 2025 -
TAMASA Tanzania. Agronomy Panel Survey (APS) 2016. Household data N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaThe 2016 Agronomy Panel Survey (APS) for Tanzania is the first wave of a yearly farm household panel dataset collected under the BMGF-funded project Taking Maize Agronomy to Scale in Africa (TAMASA), in collaboration with the Sustainable Intensification Innovation Lab (SIIL). The APS is a detailed farm household survey with agronomic, yield and soils...Created January 20, 2025 • Updated January 20, 2025 -
TAMASA Tanzania. Agronomy Panel Survey (APS) 2017. Household data N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaThe 2017 Agronomy Panel Survey (APS) for Tanzania is the second wave of a yearly farm household panel dataset collected under the BMGF-funded project Taking Maize Agronomy to Scale in Africa (TAMASA), in collaboration with the Sustainable Intensification Innovation Lab (SIIL). The APS is a detailed farm household survey with agronomic, yield and soils...Created January 20, 2025 • Updated January 20, 2025 -
Wheat blast: averting wheat blast in India N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaThe emergence of wheat-blast disease in Bangladesh in the 2015-16 wheat (Triticum aestivum) crop threatens the food security of South Asia. As wheat is the second most important staple and India has been emerging as a net wheat exporter, a potential spread of the disease from Bangladesh to India could have devastating impacts on India’s overall food...Created January 20, 2025 • Updated January 20, 2025 -
Climate‑smart agriculture practices influence weed density and diversity in c... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaClimate-smart agriculture (CSA)-based management practices are getting popular across South-Asia as an alternative to the conventional system for particular weed suppression, resources conservation and environmental quality. An 8-year study (2012–2013 to 2019–2020) was conducted to understand the shift in weed density and diversity under different...Created January 20, 2025 • Updated January 20, 2025 -
Long-term conservation agriculture helps in the reclamation of sodic soils in... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaGlobally crop production is impaired by soil salinity and sodicity and to maintain the sustainability of the production systems under such degraded lands, conservation agriculture (CA) may be an alternative in arid and semiarid regions. An experiment was initiated with different agri-food systems with CA-based practices to understand the reclamation...Created January 20, 2025 • Updated January 20, 2025 -
Extending the marker × environment interaction model for genomic-enabled pred... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaThe marker × environment interaction (M×E) genomic model can be used to generate predictions for untested individuals and identify genomic regions whose effects are stable across environments and others that show environmental specificity. The objectives of this study were: (1) to extend the M×E interaction model using priors that produce shrinkage and...Created January 20, 2025 • Updated January 20, 2025 -
Crop performance and nitrogen use-efficiency in maize under conservation agri... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaA field experiment was conducted in maize under medium-term conservation agriculture (CA) based maizewheat system at BISA-CIMMYT, Ladhowal, Punjab during kharif 2019 to assess the effect of CA+ practices (CA with sub-surface drip irrigation) with variable N doses on maize. The CA+ treatments were residue retained (WR) permanent bed (PB) with sub-surface...Created January 20, 2025 • Updated January 20, 2025 -
Water budgeting in conservation agriculture‑based sub‑surface drip irrigation... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaIn water scarce regions of South Asia, diversification of rice with maize is being advocated towards sustainability of cereal-based cropping systems. Adoption of innovative agronomic management practices, i.e., conservation agriculture (CA) and sub-surface drip irrigation (SSDI) are considered as key strategies for much needed interventions to address the...Created January 20, 2025 • Updated January 20, 2025 -
Forgoing the fallow in Bangladesh’s stress-prone coastal deltaic environments... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaWorking with 64 farmers ineight production environments, we examined yield response to three genotypes, BG25 and BG27 (with salinity - and heat - tolerant traits) and BG21 (local check), across a gradient of sowing dates, grouped as ‘early’ (sown before 15 December) and ‘late’ (after 15 December), under 0, 100 and 133 and 0, 67 and 100 kg N ha-1 for...Created January 20, 2025 • Updated January 20, 2025
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