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2,021 to 2,030 of 10,526 Results
MS Excel Spreadsheet - 9.1 MB - MD5: 39140c09fa37f5d508ae2c6582c771fc
Data base of maize trials with different rates of nitrogen. Yaqui Valley Cycle Cycle OI. 2014-2015.
MS Excel Spreadsheet - 9.1 MB - MD5: c36c529a27144ee3b1c273cb8ccd003d
Data base of maize trials with different rates of nitrogen. Yaqui Valley Cycle Cycle OI. 2015-2016.
Gzip Archive - 66.2 KB - MD5: 2efc5390b05387e044d442497eece4a4
Fieldbook
An empty Fieldbook designed for collecting trial data
Gzip Archive - 66.3 KB - MD5: fee41b536b751f1c17625db0322791c1
Fieldbook
An empty Fieldbook designed for collecting trial data
Oct 24, 2022
Ortíz-Monasterio Rosas, José Iván, 2022, "Nutrient omission experiments in maize crop, established in different regions of Mexico, during 2011, 2012 and 2013.", https://hdl.handle.net/11529/10548723, CIMMYT Research Data & Software Repository Network, V2
Nutrient omission experiments aim to identify nutritional deficiencies in maize production systems in different regions of Mexico.
Oct 24, 2022
Ortíz-Monasterio Rosas, José Iván, 2022, "Maize experiment with increasing rates of nitrogen to develop a calibration for the GreenSeeker in Guanajuato", https://hdl.handle.net/11529/10548815, CIMMYT Research Data & Software Repository Network, V1
This experiments were established with different rates of nitrogen in order to generate a wide range of values for NDVI and grain yield in order to develop a calibration model for the GreenSeeker in Sinaloa.
MS Excel Spreadsheet - 257.2 KB - MD5: 5fdb60fa92b1ac9b0fd55eb35ac5fe47
Data base of maize trials with different rates of nitrogen.
Oct 19, 2022
Montesinos-López, Osval A.; Saint Pierre, Carolina; Mosqueda-González, Brandon Alejandro; Bentley, Alison; Montesinos-López, Abelardo; Beyene, Yoseph; Gowda, Manje; Crespo Herrera, Leonardo Abdiel; Crossa, Jose, 2022, "Replication Data for: Optimizing sparse testing for genomic prediction of plant breeding crops", https://hdl.handle.net/11529/10548813, CIMMYT Research Data & Software Repository Network, V1
In plant breeding, sparse testing methods have been suggested to improve the efficiency of the genomic selection methodology. The data provided in this dataset were used to evaluate four methods for allocating lines to environments for sparse testing in multi-environment trials....
R Data - 455.3 KB - MD5: 306e9d81eb48341348aecaff8976059e
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