CIMMYT Research Data

Free, open access repository of research studies developed by CIMMYT scientists.

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7,811 to 7,820 of 10,508 Results

CIMMYT-2013-2018_Genotypic_data_readme.txt Oct 30, 2018 - Genotypic data from CIMMYT bread wheat breeding lines used in the Feed the Future Innovation Lab for Applied Wheat Genomics Plain Text - 1.2 KB - MD5: 3eecaab3d20aab5752477dfb7dca5ec8 2018_Data_Release_v.22019_Data_Release_v.32020_Data_Release_v.42021_Data_Release_v.52022_Data_Release_v.6Readme Details about the information contained in the genotypic data file
A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data Oct 26, 2018 Montesinos-López, Osval A.; Montesinos-López, Abelardo; Crossa, Jose; Cuevas, Jaime; Montesinos-López, José Cricelio; Gutiérrez, Zitlalli Salas; Lillemo, Morten; Juliana, Philomin; Singh, Ravi, 2018, "A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data", https://hdl.handle.net/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.
Data_EYT_Set_4.RData.gz Oct 26, 2018 - A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data Gzip Archive - 4.3 MB - MD5: d89c19aa2d574666d7e60b00be99d867
Data_EYT_Set_5.RData.gz Oct 26, 2018 - A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data Gzip Archive - 4.4 MB - MD5: 648b8504a29690109dbbb2c93c4adbcd
Data_EYT_Set_6.RData.gz Oct 26, 2018 - A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data Gzip Archive - 6.8 MB - MD5: 170f30875373b5db186a0a854ab30d2a
Data_EYT_Set_7.RData.gz Oct 26, 2018 - A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data Gzip Archive - 7.0 MB - MD5: 7eadf14b110d8863226ec817e7c0c577
Data_Maize_Set_1.RData.gz Oct 26, 2018 - A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data Gzip Archive - 374.3 KB - MD5: e3954a629bc843561362f80d8e09a90c
Data_Wheat_Iranian_Set_3.RData.gz Oct 26, 2018 - A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data Gzip Archive - 41.1 MB - MD5: fd6c1e6305f656eb8476209bba629a03
Data_Wheat_Set_2.RData.gz Oct 26, 2018 - A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data Gzip Archive - 458.8 KB - MD5: bdebf18268314e8e14812abb2b1751d0
Zero-Tillage adoption and its welfare impacts at the farm household level Oct 24, 2018 Keil, Alwin; Michalski, Joel, 2016, "Zero-Tillage adoption and its welfare impacts at the farm household level", https://hdl.handle.net/11529/10840, CIMMYT Research Data & Software Repository Network, V3 The purpose of the study was (1) to assess the performance of ZT wheat as compared to conventional-tillage wheat in farmers' fields in six CSISA target districts in Bihar; (2) to assess farmers’ resource endowment, risk exposure, risk preferences, and risk management practices; (...

CIMMYT-2013-2018_Genotypic_data_readme.txt

Oct 30, 2018 - Genotypic data from CIMMYT bread wheat breeding lines used in the Feed the Future Innovation Lab for Applied Wheat Genomics

Plain Text - 1.2 KB -

2018_Data_Release_v.22019_Data_Release_v.32020_Data_Release_v.42021_Data_Release_v.52022_Data_Release_v.6Readme

Details about the information contained in the genotypic data file

A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data

Oct 26, 2018

Montesinos-López, Osval A.; Montesinos-López, Abelardo; Crossa, Jose; Cuevas, Jaime; Montesinos-López, José Cricelio; Gutiérrez, Zitlalli Salas; Lillemo, Morten; Juliana, Philomin; Singh, Ravi, 2018, "A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data", https://hdl.handle.net/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.

Data_EYT_Set_4.RData.gz

Oct 26, 2018 - A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data

Gzip Archive - 4.3 MB -

Data_EYT_Set_5.RData.gz

Oct 26, 2018 - A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data

Gzip Archive - 4.4 MB -

Data_EYT_Set_6.RData.gz

Oct 26, 2018 - A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data

Gzip Archive - 6.8 MB -

Data_EYT_Set_7.RData.gz

Oct 26, 2018 - A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data

Gzip Archive - 7.0 MB -

Data_Maize_Set_1.RData.gz

Oct 26, 2018 - A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data

Gzip Archive - 374.3 KB -

Data_Wheat_Iranian_Set_3.RData.gz

Oct 26, 2018 - A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data

Gzip Archive - 41.1 MB -

Data_Wheat_Set_2.RData.gz

Oct 26, 2018 - A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data

Gzip Archive - 458.8 KB -

Zero-Tillage adoption and its welfare impacts at the farm household level

Oct 24, 2018

Keil, Alwin; Michalski, Joel, 2016, "Zero-Tillage adoption and its welfare impacts at the farm household level", https://hdl.handle.net/11529/10840, CIMMYT Research Data & Software Repository Network, V3

The purpose of the study was (1) to assess the performance of ZT wheat as compared to conventional-tillage wheat in farmers' fields in six CSISA target districts in Bihar; (2) to assess farmers’ resource endowment, risk exposure, risk preferences, and risk management practices; (...

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