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9,071 to 9,080 of 10,803 Results
CSISA_NOPT_Rice_RawDataFINAL.csv
Apr 5, 2017 - Nutrient Omission Plot Technique Trials from Bihar, Uttar Pradesh and Odisha
Plain Text - 114.4 KB - MD5: ec41a69c4183d8ac5eb62c6514795745
RawData
NOPT trials for rice
CSISA_NOPT_Wheat_RawDataFINAL.csv
Apr 5, 2017 - Nutrient Omission Plot Technique Trials from Bihar, Uttar Pradesh and Odisha
Plain Text - 36.2 KB - MD5: a007bb0ea777a36478edd0e7bb776bca
RawData
NOPT trials for wheat
CSISAPhaseIIINOPT_WheatCodebook.pdf
CSISAPhaseIIINOPT_WheatCodebook.pdf
Apr 5, 2017 - Nutrient Omission Plot Technique Trials from Bihar, Uttar Pradesh and Odisha
Adobe PDF - 240.9 KB - MD5: cd0401263632270f8751deb1f86b7bc8
Codebook
Codebook for wheat datasets
CSISAPhaseIINOPT_RiceCodebook.pdf
CSISAPhaseIINOPT_RiceCodebook.pdf
Apr 5, 2017 - Nutrient Omission Plot Technique Trials from Bihar, Uttar Pradesh and Odisha
Adobe PDF - 279.9 KB - MD5: 1794be1aab03e3032707fc97ef9d5508
Codebook
Codebook for rice datasets
DATASET1to3.Maize.rdata
Mar 9, 2017 - A variational Bayes genomic-enabled prediction model with genotype × environment interaction
Unknown - 376.8 KB - MD5: 0b0889757980aefa3f3bae20d3ecc318
Phenotypic Data
Maize data
DATASET4to5.Wheat.rdata
Mar 9, 2017 - A variational Bayes genomic-enabled prediction model with genotype × environment interaction
Unknown - 459.3 KB - MD5: c59905b897fe95f9d600f78cd42b4fba
Phenotypic Data
Wheat data
DATASET6.Wheat_Yield1.rdata
Mar 9, 2017 - A variational Bayes genomic-enabled prediction model with genotype × environment interaction
Unknown - 5.2 MB - MD5: 4a3ec390c48988b3203c50904a8b78da
Phenotypic Data
Wheat yield data
Metasheet.pdf
Metasheet.pdf
Feb 28, 2017 - Survey to assess the impact of multi-level factors of change on farm trajectories in Southern Bangladesh
Adobe PDF - 103.9 KB - MD5: 1afb9d26eaf3d4b4f7eca241d289f509
Metadata
Detailed information on the data collection methodology and variables contained in datasets
HELdataset.zip
Feb 16, 2017 - Genomic-enabled prediction in maize using kernel models with genotype × environment interaction
Unknown - 3.2 MB - MD5: 5ec14850d84981924150ab72a73ffd3b
Phenotypic Data
HEL dataset
USPdataset.zip
Feb 16, 2017 - Genomic-enabled prediction in maize using kernel models with genotype × environment interaction
Unknown - 8.3 MB - MD5: ea15b012992ef6cfd169e4c2595d2c2b
Phenotypic Data
UPS dataset
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