Search datasets
251 datasets found
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The Global Popcorn Project N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaThe Global Popcorn Project began in 2014, by asking the basic question: How many popcorn accessions do we have in the Maize Collection of the CIMMYT Maize and Wheat Germplasm Bank? Six years later, we are closing in on answering that basic question and have also moved on to more complicated ones, with the help of an international team of graduate students...Created January 20, 2025 • Updated January 20, 2025 -
Long-term tillage and residue management experiment in San Luis Potosí, Mexico N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaAn experiment initiated in 1996 in the highlands of the state of San Luis Potosí, Mexico, evaluated different tillage methods and levels of soil cover under permanent raised beds for their effects on yield, profitability, and soil quality in an irrigated, summer maize- winter oats rotation. The experiment was located at the Experimental Station “San...Created January 20, 2025 • Updated January 20, 2025 -
NG 2016 NOTs soil leaf yield database N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaNutrient Ommission Trials (NOTs) from three states in Nigeria. Six treatments, yield, soil and ear leaf nutrient contents.Created January 20, 2025 • Updated January 20, 2025 -
TAMASA TZ APS 2017 CC MaizeYield v3 N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaTAMASA Agronomy Panel Survey 2016/17 Season. This file contains the maize grain yield from approximately 578 maize fields in the Southern Highlands, Northern and Eastern Zones of Tanzania in collected May-August 2017. Maize grain yield data can be linked to associated maize yield and soil by the common HHID.Created January 20, 2025 • Updated January 20, 2025 -
Tanzania VT TAMASA MetaData N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaExperiments at multiple locations in Tanzania (800 to 1500m) to calibrate development or phenology of maize varieties. Locations are Igeri, Minja, Mitalula, Mlaaleni, Monduli, Selian, Seatondale, Suluti, Uyole, W. Kilimanjaro. Observations include dates of emergence, tassel, silking and maturity; Daily min & max temperatures are in a separate fileCreated January 20, 2025 • Updated January 20, 2025 -
TZ TAMASA APS 2017 MZ Biomass Yield MetaData N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaSurvey at multiple locations in Tanzania (680 to 2100 m) to establish baseline biomass yields at farm level.Created January 20, 2025 • Updated January 20, 2025 -
TZ TAMASA APS 2016 Yield MetaData N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaCIMMYT and IITA. 2017. TAMASA Tanzania Agronomic Panel Survey for 2016. Version 1. Taking Maize Agronomy to Scale Project, CIMMYT and IITA. Tabular datasetCreated January 20, 2025 • Updated January 20, 2025 -
Replication Data for: Nonlinear heat effects on African maize as evidenced by... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaThis dataset provides supplementary files for the trials and sites described in the 2011 paper in https://www.nature.com/nclimate/ available at https://dx.doi.org/10.1038/NCLIMATE1043Created January 20, 2025 • Updated January 20, 2025 -
Deep kernel of genomic and near infrared predictions in multi-environment bre... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaIn genomic prediction deep learning artificial neural network are part of machine learning methods that incorporate parametric, non-parametric and semi-parametric statistical models. Kernel methods are seeing more flexible, and easier to interpret than neural networks. Kernel methods used in genomic predictions comprise the linear genomic best linear...Created January 20, 2025 • Updated January 20, 2025 -
Replication Data for: Estimation of Physiological Genomic Estimated Breeding ... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaThis file provides supporting material for the manuscript entitled ' Estimation of Physiological Genomic Estimated Breeding Values (PGEBV) Combining full Hyperspectral and Marker Data Across Environments for Grain Yield Under Combined Heat and Drought Stress in Tropical Maize (Zea mays L.)'. The file includes spreadsheets containing information on the...Created January 20, 2025 • Updated January 20, 2025 -
Livelihood Impacts of Commercial Maize Production in the Plateau Ecology of O... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaLarge tracts of land in the upland plateau ecology of Odisha are not suitable for rice production and are largely left fallow. In Mayurbhanj district of the plateau area, nearly half of the total cultivable area (43%) falls into the upland category that is not very suitable for growing rice. The tribal farming population either leave this land fallow or...Created January 20, 2025 • Updated January 20, 2025 -
Replication Data for: Genome-Wide Association Mapping And Genomic Prediction ... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaDrought stress, heat stress, and combination of drought stress and heat stress have been recognized as the major abiotic constraints to maize yields in the main production regions. The phenotypic data used in the current study had been published by Jill E. Cairns et al in 2013 in the journal of Crop Science 53 :1335–1346...Created January 20, 2025 • Updated January 20, 2025 -
TAMASA Tanzania. Yield and agronomy data from farmers' fields in 2014/2015 N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaReplicated crop-cuts and related agronomy data for maize from 142 farmers' fields in Southern, Eastern and Northern Zones in 2014/2015 season. The soils data from these fields can be found here.Created January 20, 2025 • Updated January 20, 2025 -
A Bayesian genomic multi-output regressor stacking model for predicting multi... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaA new statistical model is presented for genomic prediction on maize and wheat data comprising multi-trait, multi-environment data.Created January 20, 2025 • Updated January 20, 2025 -
Supplemental Materials for The Relative Efficiency of Three Constrained Multi... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaThis dataset provides supplemental information related to an investigation of constrained multistage linear phenotypic selection indices.Created January 20, 2025 • Updated January 20, 2025 -
Supplemental data for multi-trait, multi-environment deep learning modeling f... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaThis study provides supplemental data to support an investigation of the power of multi-trait deep learning (MTDL) models in terms of genomic-enabled prediction accuracy.Created January 20, 2025 • Updated January 20, 2025 -
BGGE: A new package for genomic prediction incorporating genotype by environm... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaOne of the major issues in plant breeding is the occurrence of genotype by environment (GE) interaction. Several models have been created to understand this phenomenon and explore it by selecting the most stable genotypes. In the genomic era, several models were employed to simultaneously improve selection by using markers and account for GE interaction....Created January 20, 2025 • Updated January 20, 2025 -
Program and sample data for SASHAYDIALL: A SAS Program for Hayman’s Diallel A... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaSASHAYDIALL is a code written in SAS to perform diallel analysis according to the method of Hayman (1954). The SASHAYDIALL program was written in SAS/IML and runs in SAS version 9.0 or higher. The SASHAYDIALL program requires an input ‘csv’ format data file that has replication, parent 1, parent 2, and the trait of interest for a single site experiment....Created January 20, 2025 • Updated January 20, 2025 -
TAMASA Ethiopia. Agronomy Panel Survey 2016. Household data; Focal plot N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaAPS consists of household- and plot-level data on 336 households in maize-growing areas of Jimma and Bako zones. This dataset consists of information about characteristics, agronomic history, input and management of the focal plot. dataset variables observations focal_plot_merged 65 336 input_focal...Created January 20, 2025 • Updated January 20, 2025 -
TAMASA Ethiopia. Agronomy Panel Survey 2016. Household data; Belg production ... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaAPS consists of household- and plot-level data on 336 households in maize-growing areas of Jimma and Bako zones. This dataset consists of information about Belg production and inputs in 2016. dataset variables observations belg_production_2016 30 357 belg_input_cost 9 696 belg_family_labor 22 357 belg_hired_services 15 338...Created January 20, 2025 • Updated January 20, 2025
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