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1 to 10 of 92 Results
Dataset / Software
Dec 8, 2018 - CIMMYT Research Data
Yuan, Yibing; Cairns, Jill E.; Babu, Raman; Gowda, Manje; Makumbi, Dan; Magorokosho, Cosmos; Zhang, Ao; Liu, Yubo; Wang, Nan; Hao, Zhuanfang; San Vicente, Felix; Olsen, Michael S.; Prasanna, Boddupalli M. ; Lu, Yanli; Zhang, Xuecai, 2018, "Replication Data for: Genome-Wide Association Mapping And Genomic Prediction Analyses Reveal the Genetic Architecture of Grain Yield and Flowering Time Under Drought and Heat Stress Conditions in Maize", hdl:11529/10548156, CIMMYT Research Data & Software Repository Network, V1
Drought 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...
Dataset / Software
Nov 19, 2018 - CIMMYT Research Data
Nyagumbo, I; Rusinamhodzi, L; Mupangwa, W; Njeru, J; Craufurd, P; Nhambeni, B; Dias, D; Kamalongo, D; Siyeni, D; Ngwira, A; Sariah, J; Ngatoluwa, R; Makoko, B; Ayaga, G; Micheni, A; Nkonge, C; Atomsa, TB; Bedru, B; Kanampiu, F, 2017, "SIMLESA. On-station and on-farm agronomy data from 2010 to 2016.", hdl:11529/2223085, CIMMYT Research Data & Software Repository Network, V2
The file contains on-farm and on-station agronomy data sets generated in Eastern and Southern Africa between 2010 and 2016 under the Sustainable Intensification of Maize-Legume systems in Eastern and Southern Africa (SIMLESA) project. The five countries involved were Ethiopia, Ke...
Dataset / Software
Nov 9, 2018 - CIMMYT Research Data
Granato, Italo; Cuevas, Jaime; Luna, Francisco; Crossa, José; Burgueño, Juan; Fritsche-Neto, Roberto, 2018, "BGGE: A new package for genomic prediction incorporating genotype by environments models", hdl:11529/10548107, CIMMYT Research Data & Software Repository Network, V5
One 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 simul...
Dataset / Software
Oct 26, 2018 - CIMMYT Research Data
Montesinos-López, Osval A ; Montesinos-López, Abelardo; Crossa, Jose; Cuevas, Jaime; Montesinos-López, José Cricelio; Gutiérrez, Zitlalli Salas; Juliana,Philomin; Singh, Ravi, 2018, "A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data", hdl:11529/10548141, CIMMYT Research Data & Software Repository Network, V1
A new statistical model is presented for genomic prediction on maize and wheat data comprising multi-trait, multi-environment data.
Dataset / Software
Oct 8, 2018 - CIMMYT Research Data
Cerón-Rojas, J.Jesús; Toledo, Fernando; Crossa, Jose, 2018, "Supplemental Materials for The Relative Efficiency of Three Constrained Multistage Linear Phenotypic Selection Indices", hdl:11529/10548136, CIMMYT Research Data & Software Repository Network, V1
This dataset provides supplemental information related to an investigation of constrained multistage linear phenotypic selection indices.
Dataset / Software
Sep 28, 2018 - CIMMYT Research Data
Montesinos-López, Osval A ; Montesinos-López, Abelardo; Crossa, Jose; Gianola, Daniel ; Hernández-Suárez, Carlos M.; Martín-Vallejo, Javier, 2018, "Supplemental Data for Multi-trait, Multi-environment Deep Learning Modeling for Genomic-Enabled Prediction of Plant Traits", hdl:11529/10548134, CIMMYT Research Data & Software Repository Network, V1
This 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.
Dataset / Software
Jul 16, 2018 - CIMMYT Research Software
Makumbi, Dan; Alvarado, Gregorio; Crossa, José; Burgueño, Juan, 2018, "Program and sample data for SASHAYDIALL: A SAS Program for Hayman’s Diallel Analysis", hdl:11529/10548045, CIMMYT Research Data & Software Repository Network, V4, UNF:6:qb2UIHULo/KZ3V04rm33PA==
SASHAYDIALL 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,...
Dataset / Software
Apr 17, 2018 - CIMMYT Research Data
Banchayehu, A.; Chamberlin, J.; Craufurd, P.; Balemi, T.; Gurumu, G., 2018, "TAMASA Ethiopia. Agronomy Panel Survey 2016. Household data; Focal plot", hdl:11529/10548032, CIMMYT Research Data & Software Repository Network, V1
APS 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...
Dataset / Software
Apr 17, 2018 - CIMMYT Research Data
Banchayehu, A; Chamberlin, J; Craufurd, P; Gurumu, G; Balemi, T, 2018, "TAMASA Ethiopia. Agronomy Panel Survey 2016. Household data; Belg production and inputs", hdl:11529/10548031, CIMMYT Research Data & Software Repository Network, V1
APS 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_fa...
Dataset / Software
Dec 11, 2017 - CIMMYT Research Data
O. Oyakhilomen; Jordan Chamberlin; Julius Adewopo; K. Tijanni, 2017, "TAMASA Nigeria. Agronomy Panel Survey 2016. Crop cut data", hdl:11529/11154, CIMMYT Research Data & Software Repository Network, V1
This data covers the crop aspect of the Agronomy Panel Survey (APS) implemented in 99 selected communities across 17 LGAs in 22 randomly selected 10km x 10 km sampling grids from Kano, Kaduna and Katsina States. The XLS file has tabs for Metadata, Variables, Data and Data history...
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