CIMMYT Research Data

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

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761 to 770 of 959 Results

BGGE: A new package for genomic prediction incorporating genotype by environments models Nov 9, 2018 Granato, Italo; Cuevas, Jaime; Luna, Francisco; Crossa, Jose; Burgueño, Juan; Fritsche-Neto, Roberto, 2018, "BGGE: A new package for genomic prediction incorporating genotype by environments models", https://hdl.handle.net/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...
A singular value decomposition Bayesian multiple-trait and multiple-environment genomic model Nov 8, 2018 Montesinos-López, Osval A.; Montesinos-López, Abelardo; Crossa, Jose; Kismiantini; Ramírez-Alcaraz, Juan Manuel, 2018, "A singular value decomposition Bayesian multiple-trait and multiple-environment genomic model", https://hdl.handle.net/11529/10547920, CIMMYT Research Data & Software Repository Network, V2 In this paper, we propose a two-stage analysis for multiple-trait data; in the first stage, we perform a singular value decomposition (SVD) on the resulting matrix of traits responses, and in the second stage, multiple trait analysis on transformed responses is performed. We use...
Wheat holiday-India Oct 31, 2018 Mottaleb, Khondoker, 2018, "Wheat holiday-India", https://hdl.handle.net/11529/10548144, CIMMYT Research Data & Software Repository Network, V1, UNF:6:8xNWOSO1oPI7IwTW9fSMxA== [fileUNF] This dataset consists of agricultural statistics reports from India for 2015, 2016 and 2017.
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.
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; (...
New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes Oct 22, 2018 Montesinos-López, Osval A.; Martín-Vallejo, Javier; Crossa, Jose; Gianola, Daniel; Hernández-Suarez, Carlos Moisés; Montesinos-López, Abelardo; Juliana, Philomin; Singh, Ravi, 2018, "New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes", https://hdl.handle.net/11529/10548140, CIMMYT Research Data & Software Repository Network, V1 The seven data sets are wheat data from CIMMYT Global Wheat Breeding program. They comprise different traits, like days to heading, days to maturity, grain yield, grain color, different type of leaf and stripe rust in wheat. Also the trials were run in different environments.
Evaluating Radar Satellite Based Remote Sensing for Conservation Agriculture Adoption Detection in North and Central Mexico Oct 8, 2018 Sonder, Kai; Schulthess, Urs; Chomé, Guillaume, 2018, "Evaluating Radar Satellite Based Remote Sensing for Conservation Agriculture Adoption Detection in North and Central Mexico", https://hdl.handle.net/11529/10548137, CIMMYT Research Data & Software Repository Network, V1 Conservation agriculture has been tested and out scaled for over 60 years in rural areas of Mexico, however the rate of adoption and dis adoption, as well as the current area under CA is unknown. Estimates range between 50,000 ha and over 800,000 ha depending on the source. Studi...
Supplemental Materials for The Relative Efficiency of Three Constrained Multistage Linear Phenotypic Selection Indices Oct 8, 2018 Cerón-Rojas, J.Jesús; Toledo, Fernando; Crossa, Jose, 2018, "Supplemental Materials for The Relative Efficiency of Three Constrained Multistage Linear Phenotypic Selection Indices", https://hdl.handle.net/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.
Supplemental data for multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traits Sep 28, 2018 Montesinos-López, Osval A.; Montesinos-López, Abelardo; Crossa, Jose; Gianola, Daniel; Hernández-Suarez, Carlos Moisés; Martín-Vallejo, Javier, 2018, "Supplemental data for multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traits", https://hdl.handle.net/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.
Supplemental data for hybrid wheat prediction using genomic, pedigree and environmental covariables interaction models Sep 21, 2018 Basnet, Bhoja Raj; Crossa, Jose; Pérez-Rodríguez, Paulino; Manes, Yann; Singh, Ravi; Rosyara, Umesh; Camarillo-Castillo, Fatima; Murua, Mercedes, 2018, "Supplemental data for hybrid wheat prediction using genomic, pedigree and environmental covariables interaction models", https://hdl.handle.net/11529/10548129, CIMMYT Research Data & Software Repository Network, V1 Genomic prediction of hybrids unobserved in field evaluations is crucial. In this study, we used genomic G×E models for hybrid prediction, where similarity between lines was assessed by pedigree and molecular markers, and similarity between environments was accounted for by envir...

BGGE: A new package for genomic prediction incorporating genotype by environments models

Nov 9, 2018

Granato, Italo; Cuevas, Jaime; Luna, Francisco; Crossa, Jose; Burgueño, Juan; Fritsche-Neto, Roberto, 2018, "BGGE: A new package for genomic prediction incorporating genotype by environments models", https://hdl.handle.net/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...

A singular value decomposition Bayesian multiple-trait and multiple-environment genomic model

Nov 8, 2018

Montesinos-López, Osval A.; Montesinos-López, Abelardo; Crossa, Jose; Kismiantini; Ramírez-Alcaraz, Juan Manuel, 2018, "A singular value decomposition Bayesian multiple-trait and multiple-environment genomic model", https://hdl.handle.net/11529/10547920, CIMMYT Research Data & Software Repository Network, V2

In this paper, we propose a two-stage analysis for multiple-trait data; in the first stage, we perform a singular value decomposition (SVD) on the resulting matrix of traits responses, and in the second stage, multiple trait analysis on transformed responses is performed. We use...

Wheat holiday-India

Oct 31, 2018

Mottaleb, Khondoker, 2018, "Wheat holiday-India", https://hdl.handle.net/11529/10548144, CIMMYT Research Data & Software Repository Network, V1, UNF:6:8xNWOSO1oPI7IwTW9fSMxA== [fileUNF]

This dataset consists of agricultural statistics reports from India for 2015, 2016 and 2017.

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.

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; (...

New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes

Oct 22, 2018

Montesinos-López, Osval A.; Martín-Vallejo, Javier; Crossa, Jose; Gianola, Daniel; Hernández-Suarez, Carlos Moisés; Montesinos-López, Abelardo; Juliana, Philomin; Singh, Ravi, 2018, "New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes", https://hdl.handle.net/11529/10548140, CIMMYT Research Data & Software Repository Network, V1

The seven data sets are wheat data from CIMMYT Global Wheat Breeding program. They comprise different traits, like days to heading, days to maturity, grain yield, grain color, different type of leaf and stripe rust in wheat. Also the trials were run in different environments.

Evaluating Radar Satellite Based Remote Sensing for Conservation Agriculture Adoption Detection in North and Central Mexico

Oct 8, 2018

Sonder, Kai; Schulthess, Urs; Chomé, Guillaume, 2018, "Evaluating Radar Satellite Based Remote Sensing for Conservation Agriculture Adoption Detection in North and Central Mexico", https://hdl.handle.net/11529/10548137, CIMMYT Research Data & Software Repository Network, V1

Conservation agriculture has been tested and out scaled for over 60 years in rural areas of Mexico, however the rate of adoption and dis adoption, as well as the current area under CA is unknown. Estimates range between 50,000 ha and over 800,000 ha depending on the source. Studi...

Supplemental Materials for The Relative Efficiency of Three Constrained Multistage Linear Phenotypic Selection Indices

Oct 8, 2018

Cerón-Rojas, J.Jesús; Toledo, Fernando; Crossa, Jose, 2018, "Supplemental Materials for The Relative Efficiency of Three Constrained Multistage Linear Phenotypic Selection Indices", https://hdl.handle.net/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.

Supplemental data for multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traits

Sep 28, 2018

Montesinos-López, Osval A.; Montesinos-López, Abelardo; Crossa, Jose; Gianola, Daniel; Hernández-Suarez, Carlos Moisés; Martín-Vallejo, Javier, 2018, "Supplemental data for multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traits", https://hdl.handle.net/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.

Supplemental data for hybrid wheat prediction using genomic, pedigree and environmental covariables interaction models

Sep 21, 2018

Basnet, Bhoja Raj; Crossa, Jose; Pérez-Rodríguez, Paulino; Manes, Yann; Singh, Ravi; Rosyara, Umesh; Camarillo-Castillo, Fatima; Murua, Mercedes, 2018, "Supplemental data for hybrid wheat prediction using genomic, pedigree and environmental covariables interaction models", https://hdl.handle.net/11529/10548129, CIMMYT Research Data & Software Repository Network, V1

Genomic prediction of hybrids unobserved in field evaluations is crucial. In this study, we used genomic G×E models for hybrid prediction, where similarity between lines was assessed by pedigree and molecular markers, and similarity between environments was accounted for by envir...

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