10,151 to 10,160 of 12,633 Results
Oct 16, 2017 -
Phenotyping protocols used at Wheat Physiology, CIMMYT
Adobe PDF - 4.2 MB -
MD5: 98989a4f9dfbaf59c7aee2517b9ebbf4
Practical manual that describes the use of diverse phenotyping techniques through the wheat crop cycle for applied research. |
Oct 16, 2017 -
Phenotyping protocols used at Wheat Physiology, CIMMYT
Adobe PDF - 3.2 MB -
MD5: ed4a5f8bfa94a316bfdcd55e6cce4b86
Manual that outlines the basic theory behind physiological traits in wheat. |
Oct 16, 2017 -
Climatic data reported during the wheat cycle in Obregon (IWYP Hub) in 2015-2016 and 2016-2017
Unknown - 36.0 KB -
MD5: b093f653351328e2fd1b502b146da9b8
Climatic data reported during the 2015-2016 wheat cycle in Obregon, Sonora (Mexico). |
Oct 16, 2017 -
Climatic data reported during the wheat cycle in Obregon (IWYP Hub) in 2015-2016 and 2016-2017
Unknown - 31.4 KB -
MD5: 3915bfa4f59509a998378ffa49359825
Climatic data reported during the 2016-2017 wheat cycle in Obregon, Sonora (Mexico). |
Oct 16, 2017 -
Infrastructure, Germplasm Resources, and Services for the International Wheat Yield Partnership Hub (IWYP Hub) at CIMMYT
Unknown - 729.5 KB -
MD5: 331e639b848cc953a4445266cd43886b
Lists of Germplasm related to IWYP projects sown in Obregon season 2015-2016 |
Oct 16, 2017 -
Infrastructure, Germplasm Resources, and Services for the International Wheat Yield Partnership Hub (IWYP Hub) at CIMMYT
Unknown - 630.6 KB -
MD5: 4c54a4951a63dc659dc947941819c757
Lists of Germplasm related to IWYP projects sown in Obregon season 2016-2017 |
Oct 10, 2017 - CIMMYT Research Data
Montesinos-López, Osval A.; Montesinos-López, Abelardo; Crossa, Jose; Montesinos-López, José Cricelio; Mota-Sanchez, David; Estrada-Gonzalez, Fermin; Gilberg, Jussi; Singh, Ravi; Mondal, Suchismita; Juliana, Philomin, 2017, "Prediction of multiple-trait and multiple-environment genomic data using recommender systems", https://hdl.handle.net/11529/11099, CIMMYT Research Data & Software Repository Network, V2
In genomic-enabled prediction, the task of improving the accuracy of the prediction of lines in environments is difficult because the available information is generally sparse and usually has low correlations between traits. In current genomic selection, while researchers have a... |
Oct 10, 2017 -
Prediction of multiple-trait and multiple-environment genomic data using recommender systems
Unknown - 19.1 KB -
MD5: f543faa4b1f3c7b38397ae6e5309da2d
Phenotypic wheat data |
Oct 10, 2017 -
Prediction of multiple-trait and multiple-environment genomic data using recommender systems
Unknown - 369.0 KB -
MD5: 6a64605058cc14524a8bf9a0c96b6025
Genotypic maize data |
Oct 10, 2017 -
Prediction of multiple-trait and multiple-environment genomic data using recommender systems
Unknown - 451.4 KB -
MD5: bbbc8321e114ab9d957ccfd220ace5be
Genotypic wheat data |
