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9,811 to 9,820 of 12,618 Results
Table-8.3.xlsx
Jun 19, 2018 - Wheat blast: averting wheat blast in India
MS Excel Spreadsheet - 112.2 KB - MD5: 1ba4e0c4f26cdb24e98584ffa1bdd974
Table-8.4.xlsx
Jun 19, 2018 - Wheat blast: averting wheat blast in India
MS Excel Spreadsheet - 110.3 KB - MD5: aed14375b64bb9e710d6b99b62c97f4d
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 - CIMMYT Research Data
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 - CIMMYT Research Data
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 - CIMMYT Research Data
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==
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