Search Results - Tenis~

  1. Exante economic analysis of biological control of coconut mite in Benin by Oleke, J.M., Manyong, Victor M., Mignouna, Djana B., Isinika, A., Mutabazi, K.D., Hanna, R., Sabelis, M.

    Published 2013
    “…The coconut mite, Aceria guerreronis Keifer, has been identified as one of the pests that pose a threat to the coconut industry in Benin. The study presents the simulation results of the economic benefits of the biological control of coconut mites in Benin using a standard economic surplus model. …”
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    Journal Article
  2. Mites associated with stored grain commodities in Benin, West Africa by Zannou, I., Adebo, H.O., Zannou, E., Hell, K.

    Published 2013
    “…To determine the acarofauna that infests cowpea, maize, paddyrice and sorghum in Benin (West Africa), surveys were conducted in some principalmarkets (Dantokpa, Glazoue and Parakou) of this country. …”
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    Journal Article
  3. Solar drying technology: a pilot design in Benin Republic by Alenkhe, E.B., Onadipe, O.O., Sanni, Lateef O.

    Published 2012
    “…The dryer was installed in Hounvi village in Benin republic; one of the project countries. The design, which is a combination of solar and indirect heating of the drying chamber, consists of a drying building roofed with white plastics while the inside contains drying trays on raised platforms. …”
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    Conference Proceedings
  4. Traditional agroforestry systems and biodiversity conservation in Benin (West Africa) by Fifanou, V.G., Ousmane, C., Gauthier, B., Brice, S.

    Published 2011
    “…The present study focused on the floristic diversity within traditional agroforestry parkland systems around the Pendjari Biosphere Reserve in Benin and showed the diversity of tree species in the area as well as socio-economic factors which affect the practice of this farming system. …”
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    Journal Article
  5. Critical Decisions for Ensuring Plant or Animal Breeding is Gender-Responsive by Ashby, Jacqueline A., Polar, Vivian, Thiele, Graham

    Published 2018
    “…It lays out an approach that involves the systematic inclusion of relevant information about gender differences in critical decisions made at key points in the breeding cycle. …”
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    Brief

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