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Jun 13, 2018 -
Deep learning genomic-enabled prediction of plant traits
RAR Archive - 53.5 MB -
MD5: 501f5155e0ace71d010f4132fb3baa18
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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... |
Tabular Data - 1023.6 KB - 18 Variables, 4564 Observations - UNF:6:vqEUOBmqgrGaUwTz1Kgmzg==
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Tabular Data - 1.2 KB - 6 Variables, 18 Observations - UNF:6:nh8p1xbhhJL6LtJUeiDrbg==
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MS Excel Spreadsheet - 813.1 KB -
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MS Excel Spreadsheet - 217.6 KB -
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