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9,371 to 9,380 of 13,434 Results
1ST HRWYT.7z
Aug 15, 2019 - 1st to 10th High Rainfall Wheat Yield Trial
7Z Archive - 1.2 MB - MD5: c37bf1ab4ab025ea06f9034133272bc3
IWIN Summarized Data
Phenotypic traits raw data for all locations
2ND HRWYT.7z
Aug 15, 2019 - 1st to 10th High Rainfall Wheat Yield Trial
7Z Archive - 1.6 MB - MD5: 22602b22fc3e84291f3f023ee061beb7
IWIN Summarized Data
Phenotypic traits raw data for all locations
3RD HRWYT.7z
Aug 15, 2019 - 1st to 10th High Rainfall Wheat Yield Trial
7Z Archive - 749.2 KB - MD5: 393d635b39a5548783a4ed5415d622f1
IWIN Summarized Data
Phenotypic traits raw data for all locations
4TH HRWYT.7z
Aug 15, 2019 - 1st to 10th High Rainfall Wheat Yield Trial
7Z Archive - 1.2 MB - MD5: 3c5d64d71ce007d3f6df70c8b1721db2
IWIN Summarized Data
Phenotypic traits raw data for all locations
5TH HRWYT.7z
Aug 15, 2019 - 1st to 10th High Rainfall Wheat Yield Trial
7Z Archive - 1.6 MB - MD5: 98cab4cfa576c1f8e4c2252214726006
IWIN Summarized Data
Phenotypic traits raw data for all locations
6TH HRWYT.7z
Aug 15, 2019 - 1st to 10th High Rainfall Wheat Yield Trial
7Z Archive - 1.1 MB - MD5: 8974ade0bc00569496fa8937b5681629
IWIN Summarized Data
Phenotypic traits raw data for all locations
7TH HRWYT.7z
Aug 15, 2019 - 1st to 10th High Rainfall Wheat Yield Trial
7Z Archive - 1.3 MB - MD5: 6c8373fc03044a7dcef0f92f1c3f2132
IWIN Summarized Data
Phenotypic traits raw data for all locations
8TH HRWYT.7z
Aug 15, 2019 - 1st to 10th High Rainfall Wheat Yield Trial
7Z Archive - 1.4 MB - MD5: fd64fda3f3445f0fa9b3975b84a62225
IWIN Summarized Data
Phenotypic traits raw data for all locations
Deep kernel and deep learning for genomic-based prediction
Aug 15, 2019 - CIMMYT Research Data
Crossa, Jose; Martini, Johannes; Gianola, Daniel; Pérez-Rodríguez, Paulino; Burgueño, Juan; Singh, Ravi; Juliana, Philomin; Montesinos-López, Osval A.; Cuevas, Jaime, 2019, "Deep kernel and deep learning for genomic-based prediction", https://hdl.handle.net/11529/10548273, CIMMYT Research Data & Software Repository Network, V1
Deep learning (DL) is a promising method in the context of genomic prediction for selecting individuals early in time without measuring their phenotypes. iI this paper we compare the performance in terms of genome-based prediction of the DL method, deep kernel (arc-cosine kernel,...
Geno_eyt1516_1052linesand8402markers.7z
Aug 15, 2019 - Deep kernel and deep learning for genomic-based prediction
7Z Archive - 1.1 MB - MD5: ed49e029b92a168c4711b550b670e91b
Genotypic data_EYT1516
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