Resultados de búsqueda - "Uganda"

  1. Yield perceptions, determinants and adoption impact of on farm varietal mixtures for common bean and banana in Uganda por Nankya, R., Mulumba, John W., Caracciolo, Francesco, Raimondo, M., Schiavello, F., Gotor, Elisabetta, Kikulwe, Enoch Mutebi, Jarvis, Devra I.

    Publicado 2017
    “…Despite the available evidence, promotion of this approach has remained limited in many countries, including Uganda. The factors that influence farmers’ adoption of varietal mixtures for common bean and banana were assessed, as well as the perceptions of farmers on the effects of mixtures on yields, through household surveys and statistical modelling. …”
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    Journal Article
  2. The culture of banana cultivation: an exploratory study of a local banana seed system in Central Uganda. por Kilwinger, Fleur B.M., Rietveld, Anne M., Almekinders, Conny J.M.

    Publicado 2017
    “…Banana is one of the most important staple crops in Central Uganda. In central Uganda most of the bananavarieties cultivated belong to the East African Highland Bananas (EAHB) which include food (Matooke) and beer (Mbidde) varieties. …”
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  3. Endophyte enhanced banana tissue culture: technology transfer through publicprivate partnerships in Kenya and Uganda por Dubois, T., Coyne, Danny L., Kahangi, E., Turoop, L., Nsubuga, E.

    Publicado 2006
    “…Tissue culture production facilities in Uganda are in their infancy, while in Kenya the situation is more developed. …”
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  4. Spatial distribution of nematode population densities and nematode damage in roots of three banana cultivars in Uganda por Talwana, Herbert A.L., Speijer, P., Waele, D. de

    Publicado 2000
    “…At Namulonge, central Uganda, where Radopholus similis was the dominant nematode species, and at Ntungamo, southwestern Uganda, where Pratylenchus goodeyi was the dominant species, suckers were removed from established mats and assessed for nematode reproduction and damage. …”
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    Journal Article
  5. Opportunities and pitfalls for researchers to contribute to the design of evidence-based agricultural policies: lessons from Uganda por Pali, Pamela N., Schut, Marc, Kibwika, P., Wairegi, L.W.I., Yami, M., Asten, Piet J.A. van, Manyong, Victor M.

    Publicado 2018
    “…Agricultural policies in sub-Saharan Africa have paid insufficient attention to sustainable intensification. In Uganda, agricultural productivity has stagnated with aggregate increases in crop production being attributed to expansion of cultivated land area. …”
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    Journal Article
  6. Analysis of Determinants of Productivity and Technical Efficiency among Smallholder Common Bean Farmers in Eastern Uganda por Waluse, K.S., Owuor, G., Nyachwo, J., Alokit, C., Birachi, Eliud Abucheli

    Publicado 2012
    “…The efficiency of crop production has important implications for farm yield and productivity; however, little is known about the efficiency of bean production in Uganda. This study evaluated factors influencing technical efficiency among smallholder farmers in eastern Uganda where bean growing is common to over 80% of the population. …”
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    Póster
  7. The cassava mosaic geminiviruses occurring in Uganda following the 1990s epidemic of severe cassava mosaic disease por Sseruwagi, P., Rey, M.E.C., Brown, J.K., Legg, James P.

    Publicado 2004
    “…Two previously described cassava mosaic geminiviruses: African cassava mosaic virus (ACMV) said East African cassava mosaic virus - Uganda variant (EACMV-UG2) were detected in Uganda. …”
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  8. Using household survey data to identify large-scale food security patterns across Uganda por Wichern, Jannike, Heerwaarden, Joost van, Bruin, S. de, Descheemaeker, Katrien K., Asten, Piet J.A. van, Giller, Kenneth E., Wijk, Mark T. van

    Publicado 2018
    “…We applied a stepwise regression kriging procedure to translate point information to spatially explicit patterns and create country-wide predictions with associated uncertainty estimates for indicators on food availability and related livelihood activities using household survey data from Uganda. With few exceptions, predictions of the indicators were weak, highlighting the difficulty in capturing variability at larger scale. …”
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    Journal Article

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