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3,931 to 3,940 of 13,434 Results
Replication Data for: Modeling genotype × environment interaction for single and multi-trait genomic prediction in potato (Solanum tuberosum L.)
Aug 11, 2022 - CIMMYT Research Data
Cuevas, Jaime; Reslow, Fredrik; Crossa, Jose; Ortiz, Rodomiro, 2022, "Replication Data for: Modeling genotype × environment interaction for single and multi-trait genomic prediction in potato (Solanum tuberosum L.)", https://hdl.handle.net/11529/10548784, CIMMYT Research Data & Software Repository Network, V1
Genomic prediction (GP) can be used in the breeding of polysomic polyploid plant species. Different models can be used to generate the genomic prediction including single trait and multi-trait models. The data provided in this dataset were used to investigate the accuracy of four...
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
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