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10,201 to 10,210 of 13,426 Results

Agricultural_Statistics_At_Glance-2015.pdf Oct 31, 2018 - Wheat holiday-India Adobe PDF - 5.8 MB - MD5: acbac109dc1eb7894e85b71638e48434
Annual_rpt_201617_E.pdf Oct 31, 2018 - Wheat holiday-India Adobe PDF - 7.9 MB - MD5: 8707871bc529f7f02649d9e16109fe5d
FHP_2015-16 (003).pdf Oct 31, 2018 - Wheat holiday-India Adobe PDF - 2.5 MB - MD5: 8eec6a511c0de50ce98e6dd98bd1723c
Figure 2.tab Oct 31, 2018 - Wheat holiday-India Tabular Data - 71.3 KB - 14 Variables, 424 Observations - UNF:6:eLuGfStNa+eL5Xggj5bv9A==
revisesimulation.xlsx Oct 31, 2018 - Wheat holiday-India MS Excel Spreadsheet - 70.7 KB - MD5: 2dd28bd4ec370dcd2efb687437cf6eb7
table31.xlsx Oct 31, 2018 - Wheat holiday-India MS Excel Spreadsheet - 14.8 KB - MD5: 474e0c6ea472aff8875a03944c693e3e
table32.xlsx Oct 31, 2018 - Wheat holiday-India MS Excel Spreadsheet - 14.0 KB - MD5: 144769b70eafac4b0d3397dc9e6d1eab
Table 3.tab Oct 31, 2018 - Wheat holiday-India Tabular Data - 2.0 KB - 18 Variables, 18 Observations - UNF:6:etYptL93kHuz8wBKKR6l7Q==
CIMMYT-2013-2018_Genotypic_data_readme.txt Oct 30, 2018 - Genotypic data from CIMMYT bread wheat breeding lines used in the Feed the Future Innovation Lab for Applied Wheat Genomics Plain Text - 1.2 KB - MD5: 3eecaab3d20aab5752477dfb7dca5ec8 2018_Data_Release_v.22019_Data_Release_v.32020_Data_Release_v.42021_Data_Release_v.52022_Data_Release_v.6Readme Details about the information contained in the genotypic data file
A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data Oct 26, 2018 - CIMMYT Research Data Montesinos-López, Osval A.; Montesinos-López, Abelardo; Crossa, Jose; Cuevas, Jaime; Montesinos-López, José Cricelio; Gutiérrez, Zitlalli Salas; Lillemo, Morten; Juliana, Philomin; Singh, Ravi, 2018, "A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data", https://hdl.handle.net/11529/10548141, CIMMYT Research Data & Software Repository Network, V1 A new statistical model is presented for genomic prediction on maize and wheat data comprising multi-trait, multi-environment data.

Agricultural_Statistics_At_Glance-2015.pdf