CIMMYT Research Data & Software Repository Network

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CIMMYT institutional network of scientific datasets and software repositories.

Cereal Systems Initiative for South Asia (CSISA) Research Data

CIMMYT Research Data

CIMMYT Research Software

International Wheat Yield Partnership Research Data

Sustainable and Resilient Farming Systems Intensification in the Eastern Gangetic Plains (SRFSI) Research Data

Crops to End Hunger (CtEH) Data

CIMMYT Seeds of Discovery

BNI-CropSustaiN Research Data and Protocols

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3,931 to 3,940 of 13,425 Results

K.Rdata Aug 11, 2022 - Replication Data for: Modeling genotype × environment interaction for single and multi-trait genomic prediction in potato (Solanum tuberosum L.) R Data - 462.8 KB - MD5: d95cf1b8d7f4ef5e2ba9596994de3f45
Markers.Rdata Aug 11, 2022 - Replication Data for: Modeling genotype × environment interaction for single and multi-trait genomic prediction in potato (Solanum tuberosum L.) R Data - 562.1 KB - MD5: 42227b92d67472bc2be1dc6d3a48ba67
Pheno.Rdata Aug 11, 2022 - Replication Data for: Modeling genotype × environment interaction for single and multi-trait genomic prediction in potato (Solanum tuberosum L.) R Data - 65.0 KB - MD5: 8874f51ef1f1371b23dd5a63c1daabfe
Replication Data for: A comparison between three machine learning methods for multivariate genomic prediction using the Sparse Kernels Methods (SKM) library Aug 10, 2022 - CIMMYT Research Data Montesinos-López, Osval A.; Montesinos-López, Abelardo; Cano-Paez, Bernabé; Hernández-Suarez, Carlos Moisés; Santana Mancilla, Pedro Cesar; Crossa, Jose, 2022, "Replication Data for: A comparison between three machine learning methods for multivariate genomic prediction using the Sparse Kernels Methods (SKM) library", https://hdl.handle.net/11529/10548728, CIMMYT Research Data & Software Repository Network, V3 Genomic selection (GS) provides a new way for plant breeders select the best genotype. It draws upon historical phenotypic and genotypic information for training a statistical machine learning model which is used for predicting phenotypic (or breeding) values of new lines for whi...
SUPPEMENTARY RESULTS AND R-CODES FOR SKM-v1.docx Aug 10, 2022 - Replication Data for: A comparison between three machine learning methods for multivariate genomic prediction using the Sparse Kernels Methods (SKM) library MS Word - 401.8 KB - MD5: 437611ef7d5c9eabe9aed1ce7dfb52a3 CodeData
Community survey on stresses in maize production in six agroecological zones in Kenya Aug 9, 2022 - CIMMYT Research Data De Groote, Hugo; Kimenju, Simon; Omondi, Wilfred; Muteti, Francisca; Bruce, Anani, 2022, "Community survey on stresses in maize production in six agroecological zones in Kenya", https://hdl.handle.net/11529/10548770, CIMMYT Research Data & Software Repository Network, V1 This data set presents the results of 121 focus group discussions with men and women, in randomly selected communities, therefore representative of the six major maize agroecological zones in Kenya. Topics include biotic and abiotic stresses, in particular storage pests, maize le...
STMA comm survey 2018_all data_curated_V4.sav Aug 9, 2022 - Community survey on stresses in maize production in six agroecological zones in Kenya SPSS Binary - 1.1 MB - MD5: af1a43c6ecf8444fc5bd77d2b070b4ed
Striga presence in Africa: Historic data from different sources Aug 9, 2022 - CIMMYT Research Data De Groote, Hugo; Rodenburg, Jonne; Cotter, Marc; Mohamed, Kamal I., 2022, "Striga presence in Africa: Historic data from different sources", https://hdl.handle.net/11529/10548764, CIMMYT Research Data & Software Repository Network, V1 Combines presence data of Striga hermonthica and Striga asiatica on different crops from four different sources, obtained from online publications or authors.
Striga observations Africa different sources.sav Aug 9, 2022 - Striga presence in Africa: Historic data from different sources SPSS Binary - 289.5 KB - MD5: 23de0d9e460cd89f5fd40c3ef4880bd0
Striga presence combined data set v6 herm and asiat.xlsx Aug 9, 2022 - Striga presence in Africa: Historic data from different sources MS Excel Spreadsheet - 157.7 KB - MD5: 1ebc3468cdcc5ce5445fb478b3a71da6

K.Rdata

Aug 11, 2022 - Replication Data for: Modeling genotype × environment interaction for single and multi-trait genomic prediction in potato (Solanum tuberosum L.)

R Data - 462.8 KB -

Markers.Rdata

Aug 11, 2022 - Replication Data for: Modeling genotype × environment interaction for single and multi-trait genomic prediction in potato (Solanum tuberosum L.)

R Data - 562.1 KB -

Pheno.Rdata

Aug 11, 2022 - Replication Data for: Modeling genotype × environment interaction for single and multi-trait genomic prediction in potato (Solanum tuberosum L.)

R Data - 65.0 KB -

Replication Data for: A comparison between three machine learning methods for multivariate genomic prediction using the Sparse Kernels Methods (SKM) library

Aug 10, 2022 - CIMMYT Research Data

Montesinos-López, Osval A.; Montesinos-López, Abelardo; Cano-Paez, Bernabé; Hernández-Suarez, Carlos Moisés; Santana Mancilla, Pedro Cesar; Crossa, Jose, 2022, "Replication Data for: A comparison between three machine learning methods for multivariate genomic prediction using the Sparse Kernels Methods (SKM) library", https://hdl.handle.net/11529/10548728, CIMMYT Research Data & Software Repository Network, V3

Genomic selection (GS) provides a new way for plant breeders select the best genotype. It draws upon historical phenotypic and genotypic information for training a statistical machine learning model which is used for predicting phenotypic (or breeding) values of new lines for whi...

SUPPEMENTARY RESULTS AND R-CODES FOR SKM-v1.docx

Aug 10, 2022 - Replication Data for: A comparison between three machine learning methods for multivariate genomic prediction using the Sparse Kernels Methods (SKM) library

MS Word - 401.8 KB -

CodeData

Community survey on stresses in maize production in six agroecological zones in Kenya

Aug 9, 2022 - CIMMYT Research Data

De Groote, Hugo; Kimenju, Simon; Omondi, Wilfred; Muteti, Francisca; Bruce, Anani, 2022, "Community survey on stresses in maize production in six agroecological zones in Kenya", https://hdl.handle.net/11529/10548770, CIMMYT Research Data & Software Repository Network, V1

This data set presents the results of 121 focus group discussions with men and women, in randomly selected communities, therefore representative of the six major maize agroecological zones in Kenya. Topics include biotic and abiotic stresses, in particular storage pests, maize le...

STMA comm survey 2018_all data_curated_V4.sav

Aug 9, 2022 - Community survey on stresses in maize production in six agroecological zones in Kenya

SPSS Binary - 1.1 MB -

Striga presence in Africa: Historic data from different sources

Aug 9, 2022 - CIMMYT Research Data

De Groote, Hugo; Rodenburg, Jonne; Cotter, Marc; Mohamed, Kamal I., 2022, "Striga presence in Africa: Historic data from different sources", https://hdl.handle.net/11529/10548764, CIMMYT Research Data & Software Repository Network, V1

Combines presence data of Striga hermonthica and Striga asiatica on different crops from four different sources, obtained from online publications or authors.

Striga observations Africa different sources.sav

Aug 9, 2022 - Striga presence in Africa: Historic data from different sources

SPSS Binary - 289.5 KB -

Striga presence combined data set v6 herm and asiat.xlsx

Aug 9, 2022 - Striga presence in Africa: Historic data from different sources

MS Excel Spreadsheet - 157.7 KB -

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