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Mateete A. Bekunda

Researcher at International Institute of Tropical Agriculture

Publications -  86
Citations -  7917

Mateete A. Bekunda is an academic researcher from International Institute of Tropical Agriculture. The author has contributed to research in topics: Agriculture & Soil fertility. The author has an hindex of 26, co-authored 81 publications receiving 6537 citations. Previous affiliations of Mateete A. Bekunda include Makerere University & International Institute of Minnesota.

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Post-harvest food losses in a maize-based farming system of semi-arid savannah area of Tanzania

TL;DR: Increasing farmers' technical know-how on adaptation of the farming systems to climate variability, and training on post-harvest management could reduce food losses, and improve poverty and household food security in semi-arid areas of Central and Northern Tanzania.

Our Nutrient World: the challenge to produce more food and energy with less pollution.

TL;DR: In this paper, the Global Overview develops essential themes to prepare societies to take the next steps in sustainable development and poverty eradication, including the importance of food security, sustainable management of nutrients, and the role of economies in a transition to a green economy.
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Indicators of soil quality : A South-South development of a methodological guide for linking local and technical knowledge

TL;DR: In this article, a participatory approach and a methodological guide were developed to identify and classify local indicators of soil quality and relate them to technical soil parameters, and thus develop a common language between farmers, extension workers and scientists.
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Measuring sustainable intensification in smallholder agroecosystems: A review

TL;DR: In this paper, a systematic, qualitative review of the literature identified sustainable intensification indicators, with a primary focus on African smallholder farming systems, and concluded that, while numerous metrics for evaluating SI systems exist, many often-cited indicators lack strong sets of associated metrics.