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7,941 to 7,950 of 10,508 Results
Table-8.5_0.tab
Jun 19, 2018 - Wheat blast: averting wheat blast in India
Tabular Data - 18.4 KB - 24 Variables, 67 Observations - UNF:6:cHJkHHKqlP9vMFoe9DWPWQ==
Table-8.6.xlsx
Jun 19, 2018 - Wheat blast: averting wheat blast in India
MS Excel Spreadsheet - 19.5 KB - MD5: 3f75c43c1f7ee978cc7fa28c2de739f6
SeeD GWAS Panel Accession Collection Site GIS-Derived Environmental Data
Jun 14, 2018
Hearne, Sarah; Sonder, Kai; Wilson, Julien, 2018, "SeeD GWAS Panel Accession Collection Site GIS-Derived Environmental Data", https://hdl.handle.net/11529/10548079, CIMMYT Research Data & Software Repository Network, V1
Historic accession collection site environmental data derived from CRU and other data resources.
Maize Accession GIS extracted data curated GWAS panel with SaID AI 2018 update1.xlsx
Jun 14, 2018 - SeeD GWAS Panel Accession Collection Site GIS-Derived Environmental Data
MS Excel Spreadsheet - 6.8 MB - MD5: bdd703f08be096373268c5c52db332de
Deep learning genomic-enabled prediction of plant traits
Jun 13, 2018
Montesinos-López, Abelardo; Montesinos-López, Osval A.; Gianola, Daniel; Crossa, Jose, 2018, "Deep learning genomic-enabled prediction of plant traits", https://hdl.handle.net/11529/10548082, CIMMYT Research Data & Software Repository Network, V1
Machine learning (ML) is a field of computer science that uses statistical techniques to give computer systems the ability to "learn" (i.e., progressively improve performance on a specific task) from data, without being explicitly programmed to do this. ML is closely related to (...
DataSets_DL.rar
Jun 13, 2018 - Deep learning genomic-enabled prediction of plant traits
RAR Archive - 53.5 MB - MD5: 501f5155e0ace71d010f4132fb3baa18
Identifying high-yield low-emission pathways for the cereal production in South Asia
Jun 7, 2018
Sapkota, Tek B.; Aryal, Jeetendra P.; Khatri-Chhetri, Arun; Shirsath, Paresh B; Arumugam, Ponraj; Stirling, Clare M., 2018, "Identifying high-yield low-emission pathways for the cereal production in South Asia", https://hdl.handle.net/11529/10548077, CIMMYT Research Data & Software Repository Network, V2, UNF:6:5kNA+QcDnMGOgK0NnR9nyQ== [fileUNF]
Household survey was conducted by International Maize and Wheat Improvement Centre (CIMMYT) as part of CGIAR research program on Climate Change Agriculture and Food Security (CCAFS) in Karnal district of Haryana state and Vaishali district of Bihar state in India. The overall aim...
GHG_emission - Dataset-1.tab
Jun 7, 2018 - Identifying high-yield low-emission pathways for the cereal production in South Asia
Tabular Data - 1023.6 KB - 18 Variables, 4564 Observations - UNF:6:vqEUOBmqgrGaUwTz1Kgmzg==
GHG_emission - Metadata.tab
Jun 7, 2018 - Identifying high-yield low-emission pathways for the cereal production in South Asia
Tabular Data - 1.2 KB - 6 Variables, 18 Observations - UNF:6:nh8p1xbhhJL6LtJUeiDrbg==
48IDYN_Genotypes_Data.xls
May 4, 2018 - 48th International Durum Yield Nursery
MS Excel Spreadsheet - 6.5 KB - MD5: 35ac7878b2345922d762c34844e91dcf
IWIN Germplasm Data
List of genotypes included on the nursery
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