Search datasets for "queryValue"
119 datasets found for "queryValue"
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Replication Data for: Efficient Arabinoxylan Assay for Wheat: Exploring Varia... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaThis dataset is derived from a study focused on developing an efficient method for arabinoxylan quantification, called PentoQuant. It includes phenotypic and molecular characterization data from 606 bread wheat samples developed through the spring bread wheat breeding program. The dataset comprises total and water-extractable arabinoxylan content values...Created January 20, 2025 • Updated January 20, 2025 -
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 -
Effect of Body Condition Score and Nutritional Flushing on the Reproductive P... N3 | TTL | RDF/XML | JSON-LD
Ethiopian Institute of Agricultural Research (EIAR)The objective of this experiment was to evaluate the effect of body condition score (BCS) and short-term supplementation with high levels of energy and protein sources on the reproductive performance of 180 does consisting of 90 Spanish and 90 Spanish x Boer (60 ½ Boer = F1-cross; and 30 ¾ Boer = F2-cross) genotypes. Each of the 3 genotypes was equally...Created March 18, 2023 • Updated December 30, 2023 -
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 -
Combining Ability of Lowland Adapted Ethiopian Sorghum Hybrids for Yield N3 | TTL | RDF/XML | JSON-LD
Ethiopian Institute of Agricultural Research (EIAR)This study was conducted with the objective to assess the performances of hybrids developed from early and medium maturing lowland adapted Ethiopian sorghum inbred lines. A total of 95 hybrids and three checks were tested using alpha lettuce design with two replications at Meiso and Sheraro. All agronomic practices were done on time as recommended. Based...Created March 18, 2023 • Updated December 30, 2023 -
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 -
Physicochemical Changes of Apple (Malus domestica) Fruit Cultivars as Influen... N3 | TTL | RDF/XML | JSON-LD
Ethiopian Institute of Agricultural Research (EIAR)This research was conducted to understand changes of physicochemical properties of fruits of three apple cultivars as influenced by stage of maturity and packaging types over storage period of three weeks. The research was designed to replicate practices by the producers and along the value chains and to assess the fruit quality under the conditions of...Created March 18, 2023 • Updated December 30, 2023 -
Lower Seed Rates Favor Seed Multiplication Ratio with Minimal Impact on Seed ... N3 | TTL | RDF/XML | JSON-LD
Ethiopian Institute of Agricultural Research (EIAR)Field and laboratory studies were conducted in split plot design of three replications to determine effects of four sowing rates (50, 75, 100, 125 kg ha-1) and three row spacing (10, 20, 30 cm) on seed multiplication ratio, seed yield, and seed quality of wheat at Kulumsa and Assasa from 2012 to 2014. Results indicated that lower seed rates gave better...Created March 18, 2023 • Updated December 30, 2023 -
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 -
Performance Evaluation of Engine Operated Potato Grader N3 | TTL | RDF/XML | JSON-LD
Ethiopian Institute of Agricultural Research (EIAR)Traditional methods of grading potato tubers require high labor-hour, cause fatigue to workers and has low output. Hence, engine driven machine capable of grading potato tubers into different size classes was evaluated. The grader prototype consisted of feeding table, grading cylinder and catchment tray. Grading capacity, grading system efficiency,...Created March 18, 2023 • Updated June 19, 2024
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