CIMMYT Research Data

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

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1,851 to 1,860 of 10,508 Results

Replication data for: Increased ranking change in wheat breeding under climate change Mar 10, 2023 Xiong, Wei; Reynolds, Matthew; Crossa, Jose; Schulthess, Urs; Sonder, Kai; Montes, Carlo; Addimando, Nicoletta; Singh, Ravi; Ammar, Karim; Gerard, Bruno; Payne, Thomas, 2022, "Replication data for: Increased ranking change in wheat breeding under climate change", https://hdl.handle.net/11529/10548836, CIMMYT Research Data & Software Repository Network, V2 A standard quantitative genetic model was used to examine how genotype-environment interactions have changed over the past decades from four spring wheat trial data sets. The variability of cross interactions for yield from one year to another is explained in more than 70% by cli...
Replication Data for: Multimodal Deep Learning Methods Enhance Genomic Prediction of Wheat Breeding Mar 9, 2023 Montesinos-López, Abelardo; Rivera Amado, Alma Carolina; Pinto, Francisco; Piñera Chavez, Francisco Javier; Gonzalez, David; Reynolds, Matthew; Pérez-Rodríguez, Paulino; Li, Huihui; Montesinos-López, Osval A.; Crossa, Jose, 2023, "Replication Data for: Multimodal Deep Learning Methods Enhance Genomic Prediction of Wheat Breeding", https://hdl.handle.net/11529/10548885, CIMMYT Research Data & Software Repository Network, V1 In plant breeding research, several statistical machine learning methods have been developed and studied for assessing the genomic prediction (GP) accuracy of unobserved phenotypes. To increase the GP accuracy of unobserved phenotypes while simultaneously accounting for the compl...
DS1.RData.gz Mar 9, 2023 - Replication Data for: Multimodal Deep Learning Methods Enhance Genomic Prediction of Wheat Breeding Gzip Archive - 463.4 KB - MD5: 0b8b0306583f37d63c813b36de6bd7e0
DS2.RData.gz Mar 9, 2023 - Replication Data for: Multimodal Deep Learning Methods Enhance Genomic Prediction of Wheat Breeding Gzip Archive - 689.2 KB - MD5: 2719510ea9434fc834b2461edb605a53
Quantifying wheat blast disease induced yield and production losses of wheat: A quasi-natural experiment Feb 14, 2023 Mottaleb, Khondoker, 2023, "Quantifying wheat blast disease induced yield and production losses of wheat: A quasi-natural experiment", https://hdl.handle.net/11529/10548859, CIMMYT Research Data & Software Repository Network, V1 Applying 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...
bldata.dta Feb 14, 2023 - Quantifying wheat blast disease induced yield and production losses of wheat: A quasi-natural experiment Stata Binary - 264.4 KB - MD5: 4714254b7c489906418c5e6c35e4bcef
prodlossfinal.do Feb 14, 2023 - Quantifying wheat blast disease induced yield and production losses of wheat: A quasi-natural experiment Stata Syntax - 13.9 KB - MD5: 8c6a2eeb69a54011f51de281f0e9b48a
Complementary practices supporting conservation agriculture in southern Africa. A review Feb 13, 2023 Thierfelder, Christian; Baudron, Frédéric; Setimela, Peter; Nyagumbo, Isaiah; Mupangwa,Walr; Mhlanga, Blessing; Lee, Nicole; Gérard, Bruno, 2023, "Complementary practices supporting conservation agriculture in southern Africa. A review", https://hdl.handle.net/11529/10548834, CIMMYT Research Data & Software Repository Network, V1 Conservation agriculture (CA)—the simultaneous application of minimum soil disturbance, crop residue retention, and crop diversification—is a key approach to address declining soil fertility and the adverse effects of climate change in southern Africa. Applying the three defining...
Agricultural terms from e-Agrology and their mapping with terms from OLS, AGROVOC and RHoMIS Feb 12, 2023 Garza Sánchez, Enrique; Ramirez Ortega, María de Lourdes; Ramos Duana, Cristhian Antonio; Nuñez Jimenez, Daniel, 2023, "Agricultural terms from e-Agrology and their mapping with terms from OLS, AGROVOC and RHoMIS", https://hdl.handle.net/11529/10548850, CIMMYT Research Data & Software Repository Network, V2 e-Agrology is a system that leverages data generated in the agricultural production cycle to optimize resources and improve the decision-making process in the field. Furthermore, linking e-agrology terms with tools such as OLS, AGROVOC and RHoMIS would help increase the reach of...
Maize seed businesses in Mexico Feb 10, 2023 Peña Castellón, Meliza; Donovan, Jason, 2023, "Maize seed businesses in Mexico", https://hdl.handle.net/11529/10548858, CIMMYT Research Data & Software Repository Network, V1 This research examines maize SMEs in Mexico that participated in MasAgro, and their capacity to produce new maize hybrids and commercialize these hybrids in a competitive seed market. For this research, 22 companies located in different regions of Mexico were interviewed. The sam...

Replication data for: Increased ranking change in wheat breeding under climate change

Mar 10, 2023

Xiong, Wei; Reynolds, Matthew; Crossa, Jose; Schulthess, Urs; Sonder, Kai; Montes, Carlo; Addimando, Nicoletta; Singh, Ravi; Ammar, Karim; Gerard, Bruno; Payne, Thomas, 2022, "Replication data for: Increased ranking change in wheat breeding under climate change", https://hdl.handle.net/11529/10548836, CIMMYT Research Data & Software Repository Network, V2

A standard quantitative genetic model was used to examine how genotype-environment interactions have changed over the past decades from four spring wheat trial data sets. The variability of cross interactions for yield from one year to another is explained in more than 70% by cli...

Replication Data for: Multimodal Deep Learning Methods Enhance Genomic Prediction of Wheat Breeding

Mar 9, 2023

Montesinos-López, Abelardo; Rivera Amado, Alma Carolina; Pinto, Francisco; Piñera Chavez, Francisco Javier; Gonzalez, David; Reynolds, Matthew; Pérez-Rodríguez, Paulino; Li, Huihui; Montesinos-López, Osval A.; Crossa, Jose, 2023, "Replication Data for: Multimodal Deep Learning Methods Enhance Genomic Prediction of Wheat Breeding", https://hdl.handle.net/11529/10548885, CIMMYT Research Data & Software Repository Network, V1

In plant breeding research, several statistical machine learning methods have been developed and studied for assessing the genomic prediction (GP) accuracy of unobserved phenotypes. To increase the GP accuracy of unobserved phenotypes while simultaneously accounting for the compl...

DS1.RData.gz

Mar 9, 2023 - Replication Data for: Multimodal Deep Learning Methods Enhance Genomic Prediction of Wheat Breeding

Gzip Archive - 463.4 KB -

DS2.RData.gz

Mar 9, 2023 - Replication Data for: Multimodal Deep Learning Methods Enhance Genomic Prediction of Wheat Breeding

Gzip Archive - 689.2 KB -

Quantifying wheat blast disease induced yield and production losses of wheat: A quasi-natural experiment

Feb 14, 2023

Mottaleb, Khondoker, 2023, "Quantifying wheat blast disease induced yield and production losses of wheat: A quasi-natural experiment", https://hdl.handle.net/11529/10548859, CIMMYT Research Data & Software Repository Network, V1

Applying 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...

bldata.dta

Feb 14, 2023 - Quantifying wheat blast disease induced yield and production losses of wheat: A quasi-natural experiment

Stata Binary - 264.4 KB -

prodlossfinal.do

Feb 14, 2023 - Quantifying wheat blast disease induced yield and production losses of wheat: A quasi-natural experiment

Stata Syntax - 13.9 KB -

Complementary practices supporting conservation agriculture in southern Africa. A review

Feb 13, 2023

Thierfelder, Christian; Baudron, Frédéric; Setimela, Peter; Nyagumbo, Isaiah; Mupangwa,Walr; Mhlanga, Blessing; Lee, Nicole; Gérard, Bruno, 2023, "Complementary practices supporting conservation agriculture in southern Africa. A review", https://hdl.handle.net/11529/10548834, CIMMYT Research Data & Software Repository Network, V1

Conservation agriculture (CA)—the simultaneous application of minimum soil disturbance, crop residue retention, and crop diversification—is a key approach to address declining soil fertility and the adverse effects of climate change in southern Africa. Applying the three defining...

Agricultural terms from e-Agrology and their mapping with terms from OLS, AGROVOC and RHoMIS

Feb 12, 2023

Garza Sánchez, Enrique; Ramirez Ortega, María de Lourdes; Ramos Duana, Cristhian Antonio; Nuñez Jimenez, Daniel, 2023, "Agricultural terms from e-Agrology and their mapping with terms from OLS, AGROVOC and RHoMIS", https://hdl.handle.net/11529/10548850, CIMMYT Research Data & Software Repository Network, V2

e-Agrology is a system that leverages data generated in the agricultural production cycle to optimize resources and improve the decision-making process in the field. Furthermore, linking e-agrology terms with tools such as OLS, AGROVOC and RHoMIS would help increase the reach of...

Maize seed businesses in Mexico

Feb 10, 2023

Peña Castellón, Meliza; Donovan, Jason, 2023, "Maize seed businesses in Mexico", https://hdl.handle.net/11529/10548858, CIMMYT Research Data & Software Repository Network, V1

This research examines maize SMEs in Mexico that participated in MasAgro, and their capacity to produce new maize hybrids and commercialize these hybrids in a competitive seed market. For this research, 22 companies located in different regions of Mexico were interviewed. The sam...

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