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8,921 to 8,930 of 12,513 Results
06CHTTEW18.xls
Aug 11, 2019 - International Early White Hybrid Trial - IEWH0611
Unknown - 137.5 KB - MD5: 93c55e727198c37f3368327c46fa3060
Original Fieldbooks
CHTTEW18
06CHTTEW5-1.xls
Aug 11, 2019 - International Early White Hybrid Trial - IEWH0611
MS Excel Spreadsheet - 84.0 KB - MD5: 39a7281506713ee43e90c63b62b475d7
Means per Individual Trials
06CHTTEW5.xls
Aug 11, 2019 - International Early White Hybrid Trial - IEWH0611
Unknown - 137.5 KB - MD5: 185f5568d4da6aca666ad1b3c678d4da
Original Fieldbooks
CHTTEW5
06CHTTEW-Combined.xls
Aug 11, 2019 - International Early White Hybrid Trial - IEWH0611
MS Excel Spreadsheet - 35.0 KB - MD5: 75aa6ad1f7bcb68420742f1dd96c35af
Combined Analysis
06CHTTEW-Dendogram.pdf
06CHTTEW-Dendogram.pdf
Aug 11, 2019 - International Early White Hybrid Trial - IEWH0611
Adobe PDF - 13.8 KB - MD5: 0960e6714f444c39c69ff0bc21bb4dd9
Combined Analysis
CHTTEW 2006 The tree procedure Ward's minimum variance cluster analysis
06CHTTEW-Grain Yield.xls
Aug 11, 2019 - International Early White Hybrid Trial - IEWH0611
MS Excel Spreadsheet - 29.0 KB - MD5: f97895ea65da34f9ebde0ed06de7560f
Combined Analysis
06CHTTEW-Locations.xls
Aug 11, 2019 - International Early White Hybrid Trial - IEWH0611
MS Excel Spreadsheet - 28.5 KB - MD5: 7b8fcaaad89932368b3922c72118c17c
Locations
Long-term tillage and residue management experiment in San Luis Potosí, Mexico
Aug 4, 2019 - CIMMYT Research Data
Verhulst, Nele; Fonteyne, Simon; Martinez Gamiño, Miguel-Angel; Saldivia Tejeda, Abel, 2019, "Long-term tillage and residue management experiment in San Luis Potosí, Mexico", https://hdl.handle.net/11529/10548248, CIMMYT Research Data & Software Repository Network, V1, UNF:6:IoKHUBaC8wFwyZ40ygz99g== [fileUNF]
An experiment initiated in 1996 in the highlands of the state of San Luis Potosí, Mexico, evaluated different tillage methods and levels of soil cover under permanent raised beds for their effects on yield, profitability, and soil quality in an irrigated, summer maize- winter oat...
DAT-PUB-Soledad.tab
Aug 4, 2019 - Long-term tillage and residue management experiment in San Luis Potosí, Mexico
Tabular Data - 3.8 KB - 5 Variables, 86 Observations - UNF:6:IoKHUBaC8wFwyZ40ygz99g==
Deep kernel of genomic and near infrared predictions in multi-environment breeding trials
Jul 18, 2019 - CIMMYT Research Data
Cuevas, Jaime; Montesinos-López, Osval A.; Juliana, Philomin; Pérez-Rodríguez, Paulino; Burgueño, Juan; Guzman, Carlos; Montesinos-López, Abelardo; Crossa, Jose, 2019, "Deep kernel of genomic and near infrared predictions in multi-environment breeding trials", https://hdl.handle.net/11529/10548180, CIMMYT Research Data & Software Repository Network, V4
In genomic prediction deep learning artificial neural network are part of machine learning methods that incorporate parametric, non-parametric and semi-parametric statistical models. Kernel methods are seeing more flexible, and easier to interpret than neural networks. Kernel met...
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