241 to 250 of 276 Results
Jun 10, 2020
Siles, Pablo; Tellez, Orlando; Kuo, Chin-Chien; Huang, Si-Dun; Zeledón, Yasser; Urroz, Norman; Peng, Yuan-Ching, 2020, "Impact of NPK and micronutrients fertilization on beans in Nicaragua", https://doi.org/10.7910/DVN/ZGXBMT, Harvard Dataverse, V1, UNF:6:5tdTGT5fmpSnqIl7Xmu/rg== [fileUNF]
This dataset contains information of experiments carried out beans in two regions of Nicaragua (Northern of the Central Region and Southern of the Pacific Region), as well as a compilation of soils data from different regions in Nicaragua collected from 2015 to 2019. The experiments were designed to explore the effects of macronutrients (N, P, K) a... |
Jun 8, 2020
Aguilar, Andrés; Dorado, Hugo; Siles, Pablo; Gonzalez, Gerzon; Peng, Yuan-Ching; Rivera-Palacio, Juan Camilo; Huang, Si-Dun; Kuo, Chin-Chien, 2020, "Agroecological zoning of Nicaragua through multiple factor analysis and cluster analysis", https://doi.org/10.7910/DVN/UP0JKM, Harvard Dataverse, V1
This dataset contains the final product of an agroecological zone classification for Nicaragua. The classification was created using data layers from worldclim, soilgrid and INETER (Instituto Nicaragüense de Estudios Territoriales). The unsupervised method used was k-means and its inputs were variables obtained from a dimensionality reduction achie... |
Jun 5, 2020
Huang, Si-Dun; Kuo, Chin-Chien; Peng, Yuan-Ching; Aguilar, Andrés; Siles, Pablo; Rivera-Palacio, Juan Camilo; Dorado, Hugo, 2020, "Bean crop cycle records from technology validation areas and seed banks", https://doi.org/10.7910/DVN/GUEFFE, Harvard Dataverse, V1, UNF:6:VNHRLOjxmutYDqQ2gR44ew== [fileUNF]
This dataset contains 721 crop cycles of community banks of seeds for beans in 9 departments of Nicaragua that were collected with INTA (Instituto Nacional de Tecnología Agropecuaria) in the period 2016 – 2019. Each location was georeferenced. Variables such as cultivar, planting practices, harvest date, region, and precipitation were also recorded... |
Jun 4, 2020
Siles, Pablo; Tellez, Orlando; Peng, Yuan-Ching; Zeledón, Yasser, 2020, "Impact of micronutrients on upland rice yield, Nicaragua", https://doi.org/10.7910/DVN/IBDWAV, Harvard Dataverse, V1, UNF:6:qdtD/fJ8nYYTFOY/e0TBjg== [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 from 2015 to 2019. The experiments were designed to explore the effects of micronutrients in the yield of upland rice. The experimen... |
May 19, 2020
Gaisberger, Hannes; Legay, Sylvain, 2020, "Walnut SSR raw data, Central Asia", https://doi.org/10.7910/DVN/VUP7OH, Harvard Dataverse, V1, UNF:6:254awoJkmwuQGPFAPzG/Aw== [fileUNF]
Between September 2013 and September 2015, samples of Juglans regia L. were collected from three countries in Central Asia: Tajikistan, Uzbekistan, and Kyrgyzstan. We selected 360 sample individuals from wild tree population (four populations of 30 individuals in each country) and 270 samples from cultivated populations from home gardens (three pop... |
May 12, 2020
de Sousa, Kauê; van Etten, Jacob; Poland, Jesse; Fadda, Carlo; Jannink, Jean-Luc; Gebrehawaryat, Yosef; Lakew, Basazen Fantahun; Mengistu, Dejene K.; Pè, Mario Enrico; Solberg, Svein Øivind; Dell'Acqua, Matteo, 2020, "Replication Data for: "Data-driven decentralized breeding increases genetic gain in challenging crop production environments"", https://doi.org/10.7910/DVN/OEZGVP, Harvard Dataverse, V1, UNF:6:QUZ55x4U3JRGMDb7PNfHpQ== [fileUNF]
A panel of fully genotyped 400 wheat lines derived from genebank accessions in two managed fields in the Ethiopian highlands in 2012 and 2013 were evaluated. We collected phenotypic data and farmer evaluation data in this trial. For the decentralized trial, we distributed a subset of 41 genotypes as packaged sets containing incomplete blocks of thr... |
May 8, 2020
Nyakundi, Fridah; Osiemo, Jamleck; Grosjean, Godefroy; Nguyen, Tam Ninh; Girvetz, Evan; Jaquet, Stephanie; Lizarazo, Miguel; Mburu, Rachael; Grey, Sebastian; Röhrig, Felicitas; Giles, James; Nowak, Andreea; Imbach, Pablo; Corner-Dolloff, Caitlin; Baedeker, Tobias; Konnonen, Minna; Jarvis, Andy, 2020, "Climate Smart Agriculture Country Profile Data", https://doi.org/10.7910/DVN/FO42EP, Harvard Dataverse, V1, UNF:6:juhKon5pkBwnFnYRp6zF7w== [fileUNF]
This article describes a Climate-Smart Agriculture (CSA) database collected from 34 countries, 16 in Africa, 7 in Asia and 11 in Latin America and the Caribbean (LAC) by the International Center for Tropical Agriculture (CIAT) in collaboration with various stakeholders in respective countries. The dataset is a combination of both quantitative and q... |
Apr 28, 2020
Beltrán, Lucila Marcela; Cruz-Garcia, Gisella S; Pradhan, Prajal; Quintero, Marcela, 2020, "Rural livelihood diversification decreases vulnerability to climate change in the Andean-Amazon foothills", https://doi.org/10.7910/DVN/A8XHJD, Harvard Dataverse, V1, UNF:6:FQUlx/WajFfG6HZI4OkieQ== [fileUNF]
A total of 256 surveys were analyzed for Caquetá and 227 surveys forYurimaguas. These surveys belong to the project "Sustainable Amazonian Landcapes" ( see below Related Datasets). All the households that participated in the survey did it freely and under prior informed consent. Households were asked about their farms’ agrobiodiversity (crops, catt... |
Apr 28, 2020
Lochetti, Gaia; Meldrum, Gennifer; Kodym, Andrea; Labarca Rojas, Yalbeiri, 2020, "Database of cultivated fleshy fruits", https://doi.org/10.7910/DVN/JX45FI, Harvard Dataverse, V1, UNF:6:SobuZ5ONlwxoQVqR8jrn/A== [fileUNF]
Database was created from the Mansfeld's Encyclopedia of Agricultural and Horticultural crops and integrated with variables on: 1) life form of the species, according to the Raunkiær system for plant classification, and 2)Google Scholar research results between 1998 and 2018 for the species |
Apr 22, 2020
Zaake, Paul; Paul, Birthe K.; Marshall, Karen; Notenbaert, An; Ouma, A. Emily; Dionec, Michel M.; Ouma, George O.; Ndambi, Asaah O., 2020, "Pig production in Uganda - adapting to climate change", https://doi.org/10.7910/DVN/KPVH8Q, Harvard Dataverse, V2, UNF:6:0jnJamiuqvncB3m30nlRcw== [fileUNF]
There is limited attention to impacts of climate change on pigs in Uganda by stakeholders, despite the potential vulnerability of pigs to climate change. Pigs are sensitive to heat-stress, as they do not have functioning sweat glands as other livestock species do, and have small lungs which reduces their ability to disseminate heat by panting. The... |
