1 to 10 of 62 Results
Jul 2, 2020 - The Alliance of Bioversity International and CIAT Dataverse
Perez, Lisset; Lavelle, Patrick; Rudbeck, Martin; Castro-Nunez, Augusto; Camilo, Karen; Vanegas, Martha; Sachet, Erwan; Romero Sanchez, Miguel A.; Suarez Salazar, Juan C.; Solarte, Antonio; Francesconi, Wendy; Quintero, Marcela, 2020, "Farmscape composition and livelihood sustainability in deforested landscapes of Colombian Amazonia", https://doi.org/10.7910/DVN/EJNDO5, Harvard Dataverse, V1, UNF:6:uGMP0UM98nOK4/PtM8x2Ug== [fileUNF]
A total of 341 households were interviewed, 176 (51.6%) in the Andean foothills (with cattle raising as a dominant activity), and 165 (48.4%) in the hillside area where crop farming is dominant. The sample is representative of the four municipalities, according to the Colombian Census carried out in 2005. We used a stratified optimal random samplin... |
Jul 2, 2020 -
Farmscape composition and livelihood sustainability in deforested landscapes of Colombian Amazonia
MS Excel Spreadsheet - 39.0 KB -
MD5: 2aef82706f620a5f5ce06fd0fdd5c9ca
Data Dictionary |
Jul 2, 2020 -
Farmscape composition and livelihood sustainability in deforested landscapes of Colombian Amazonia
Tabular Data - 20.9 KB - 23 Variables, 176 Observations - UNF:6:w+6X6zasB9Bqivbh5gtQrg==
Database of 23 variables for 176 observations for Colombia with codebook (variables description). Database in .xlsx format |
Jul 2, 2020 -
Farmscape composition and livelihood sustainability in deforested landscapes of Colombian Amazonia
Tabular Data - 19.6 KB - 25 Variables, 165 Observations - UNF:6:bmPFskV2Tsfke2zogV25XQ==
Database of 25 variables for 165 observations for Colombia with codebook (variables description). Database in .xlsx format |
Jun 25, 2020 - The Alliance of Bioversity International and CIAT Dataverse
Siles, Pablo; Tellez, Orlando; Peng, Yuan-Ching; Zeledón, Yasser, 2020, "Impact of NPK fertilization on upland rice yield, Nicaragua", https://doi.org/10.7910/DVN/H0HUSY, Harvard Dataverse, V1, UNF:6:t6JfXEH7AIeMiuA9WotrhA== [fileUNF]
This dataset contains information of experiments carried out upland rice in two regions of Nicaragua (Caribbean and Pacific Region), as well as a compilation of soils data from different regions in Nicaragua collected during 2019 in seed banks of rice and beans. The experiments were designed to explore the effects of N, P and K in the yield of upla... |
Jun 25, 2020 -
Impact of NPK fertilization on upland rice yield, Nicaragua
MS Excel Spreadsheet - 45.5 KB -
MD5: c02fabe9d01aeee21fbb4e7e1449ce22
This table contains the list of parameters measured in the field and laboratory with their description and units. |
Jun 25, 2020 -
Impact of NPK fertilization on upland rice yield, Nicaragua
Tabular Data - 10.5 KB - 22 Variables, 34 Observations - UNF:6:lblENZ+oalx1H97hxYjFZg==
Soil fertility data in different areas of Nicaragua |
Jun 25, 2020 -
Impact of NPK fertilization on upland rice yield, Nicaragua
Tabular Data - 53.0 KB - 26 Variables, 200 Observations - UNF:6:IL8TolrYg/Sv1zlEVNI7Fg==
Upland rice yield in the Caribbean region of Nicaragua with the influence of the application of NPK |
Jun 25, 2020 -
Impact of NPK fertilization on upland rice yield, Nicaragua
Tabular Data - 52.9 KB - 26 Variables, 200 Observations - UNF:6:vXBWZ+2Yv4FsXjC8n+sMMA==
Upland rice yield in the Pacific region of Nicaragua with the influence of the application of NPK |
Jun 23, 2020 - CIAT - International Center for Tropical Agriculture Dataverse
Peng, Yuan-Ching; Siles, Pablo; Zeledón, Yasser; Dorado, Hugo Andres; Rivera-Palacio, Juan, 2020, "Upland rice from technological validation areas and community banks of seeds in Nicaragua", https://doi.org/10.7910/DVN/CKRZTT, Harvard Dataverse, V2, UNF:6:O7d0clOhMqPPoOKOo7Mhxg== [fileUNF]
This dataset contains 438 crop cycles for upland rice in 22 departments of Nicaragua that were collected with INTA (Instituto Nacional de Tecnología Agropecuaria) in the period 2016 – 2020. In the dataset, 100 and 338 records came from technological validation areas and community banks of seeds, respectively. Each location was georeferenced. Variab... |