Shea (Vitellaria paradoxa Gaertn C. F.) fruit yield assessment and management by farm households in the Atacora district of Benin
Autor: | Grace B. Villamor, Kpérkouma Wala, Koffi Akpagana, Benjamin Kofi Nyarko, Koutchoukalo Aleza |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
0106 biological sciences
Farms Yield (finance) Land management Dendrology Soil Science Social Sciences lcsh:Medicine Crops Plant Science Human Geography 01 natural sciences Fruits Trees Agricultural land Agricultural Soil Science Land Use Benin lcsh:Science Productivity Family Characteristics Multidisciplinary Land use Geography Agroforestry Ecology and Environmental Sciences lcsh:R Organisms Biology and Life Sciences Eukaryota Regression analysis Agriculture 04 agricultural and veterinary sciences Plants Professions Agricultural soil science People and Places 040103 agronomy & agriculture Earth Sciences 0401 agriculture forestry and fisheries Agricultural Workers Population Groupings lcsh:Q 010606 plant biology & botany Ericales Research Article Crop Science |
Zdroj: | PLoS ONE, Vol 13, Iss 1, p e0190234 (2018) PLoS ONE |
ISSN: | 1932-6203 |
Popis: | Vitellaria paradoxa (Gaertn C. F.), or shea tree, remains one of the most valuable trees for farmers in the Atacora district of northern Benin, where rural communities depend on shea products for both food and income. To optimize productivity and management of shea agroforestry systems, or "parklands," accurate and up-to-date data are needed. For this purpose, we monitored120 fruiting shea trees for two years under three land-use scenarios and different soil groups in Atacora, coupled with a farm household survey to elicit information on decision making and management practices. To examine the local pattern of shea tree productivity and relationships between morphological factors and yields, we used a randomized branch sampling method and applied a regression analysis to build a shea yield model based on dendrometric, soil and land-use variables. We also compared potential shea yields based on farm household socio-economic characteristics and management practices derived from the survey data. Soil and land-use variables were the most important determinants of shea fruit yield. In terms of land use, shea trees growing on farmland plots exhibited the highest yields (i.e., fruit quantity and mass) while trees growing on Lixisols performed better than those of the other soil group. Contrary to our expectations, dendrometric parameters had weak relationships with fruit yield regardless of land-use and soil group. There is an inter-annual variability in fruit yield in both soil groups and land-use type. In addition to observed inter-annual yield variability, there was a high degree of variability in production among individual shea trees. Furthermore, household socioeconomic characteristics such as road accessibility, landholding size, and gross annual income influence shea fruit yield. The use of fallow areas is an important land management practice in the study area that influences both conservation and shea yield. |
Databáze: | OpenAIRE |
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