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Adobe PDF - 784.5 KB -
MD5: 5bc3ea70c7a931c1b6cd24be89ee4202
Bangladesh data |
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MD5: 7c74abfae547c301eb2533157827010e
India data |
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MD5: eaf1c98a6f820b3f94ac3dddc1aba4fb
Pakistan Data |
Unknown - 29.1 KB -
MD5: 5f41726d80ef2ca17f2a402d927225b2
Simulatilon file for India, Pakistan and Bangladesh |
Jun 28, 2017 - CIMMYT Research Data
The Genomics and Genebank Workshop Planning Committee; Payne, Thomas; Hearne, Sarah; Abberton, Michael; Wenzl, Peter; Bramel, Paula; Ellis, Dave, 2017, "Genomics and Genebank Workshop on the use of genotypic data to rationalize genebank collections: diversity gaps and duplicates", https://hdl.handle.net/11529/10939, CIMMYT Research Data & Software Repository Network, V3
Genotyping and re-sequencing are among a suite of tools used to enable rapid and cost-effective tool to study genetic diversity. This workshop will explore its use in the genetic curation of accessi ons within and between collection(s). With such information across global collect... |
Jun 27, 2017 - CIMMYT Research Software
Fernando Aguate; Samuel Trachsel; Lorena González-Pérez; Juan Burgueño; José Crossa; Mónica Balzarini; David Gouache; Matthieu Bogard; Gustavo de los Campos, 2017, "Use of High-Resolution Image Data Outperforms Vegetation Indices in Prediction of Maize Yield: Supplementary Methods", https://hdl.handle.net/11529/10972, CIMMYT Research Data & Software Repository Network, V1
This is the supplementary methods of "Use of High-Resolution Image Data Outperforms Vegetation Indices in Prediction of Maize Yield" published in Crop Science · May 2017, DOI: 10.2135/cropsci2017.01.0007. It includes the raw data in R format and the R-code for the analysis. |
Jun 27, 2017 -
Use of High-Resolution Image Data Outperforms Vegetation Indices in Prediction of Maize Yield: Supplementary Methods
Unknown - 695.0 KB -
MD5: ad2a90490e7c619747d1690bddd1cd04
Raw data in R format |
Jun 27, 2017 -
Use of High-Resolution Image Data Outperforms Vegetation Indices in Prediction of Maize Yield: Supplementary Methods
HTML - 2.0 MB -
MD5: 6ec2dfc08226ef6b760d0b76c2040591
R- code to analyze data step by step |
