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  1. Assessment of the satisfaction of partners on site-specific fertilizer recommendations in selected districts of Ethiopia by Adimassu, Zenebe, Ebrahim, Mohammed, Tibebe, Degefie, Tamene, Lulseged D., Abera, Wuletawu, Tilaye, Asmalu, Mesfine, Tewodros, Liben, Feyera, Gashaw, Getachew, Tesfu, Daniel, Endrias, Abrham

    Published 2023
    “…However, farmers were not as such satisfied with the training approach and time allocation on CIS training. This implies that the training approach and time allocation for CIS should be improved for the future. …”
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    Informe técnico
  2. Food as the “silent weapon”: Russia’s gains and Ukraine’s losses by Welsh, Caitlin, Glauber, Joseph W.

    Published 2024
    “…In 2022, 258 million people suffered from acute food insecurity, an all-time high, according to the Global Report on Food Crises. …”
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    Informe técnico
  3. Supply-side dynamics of chickpeas and pigeon peas in India by Inbasekar, Kalimuthu, Roy, Devesh, Joshi, Pramod Kumar

    Published 2015
    “…India has been persistently deficient in pulses in spite of significant investment by the government over time. Using secondary data for a long period of time, from 1950 to 2011, we study how production of pulses has changed across regions and over time in India. …”
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    Artículo preliminar
  4. Weeding force saving to improve profitability of cassava-legumes cropping systems in eastern Democratic Republic of the Congo by Muke, A., Nabahungu, N.L., Kinche, K., Vanlauwe, B., Boeckx, P.

    Published 2025
    “…Results show that the use of herbicide translated into about 6 times less energy use than a hand hoe, accounting for a ca. 4 times reduced weeding workload, and a reduction in weeding time up to 84%. …”
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    Journal Article
  5. How did households in Mali cope with covariate shocks between 2018 and 2023? Exploration of a unique dataset by Marivoet, Wim, Hema, Aboubacar

    Published 2024
    “…This said, political violence has increased over time; food prices hiked in 2018, 2022 and 2023; rainy seasons were underperforming in 2021 and 2023; extreme weather events reached a peak in 2021; while the Gao region in 2023 suffered from all five shock domains at the same time. …”
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    Informe técnico
  6. Which machine learning algorithm is best suited for estimating reference evapotranspiration in humid subtropical climate? by Deb, P., Kumar, V., Urfels, A., Lautze, Jonathan F., Kamboj, B. R., Sharma, J. R., Yadav, S.

    Published 2025
    “…Timely and reliable estimates of reference evapotranspiration (ET0) are imperative for robust water resources planning and management. …”
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    Journal Article
  7. Bluetongue and epizootic haemorrhagic disease virus in local breeds of cattle in Kenya by Toye, Philip G., Batten, C.A., Kiara, Henry K., Henstock, M.R., Edwards, L., Thumbi, Samuel M., Poole, Elizabeth J., Handel, Ian G., Bronsvoort, B.M. de C., Hanotte, Olivier H., Coetzer, Jacobus A.W., Woolhouse, Mark E.J., Oura, C.A.L.

    Published 2013
    “…Comparison of the serology and real-time RT-PCR results revealed an unexpectedly large number of calves that were negative by serology but positive by real-time RT-PCR for EHDV. …”
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    Journal Article
  8. Comparative pharmacokinetics of diminazene in plasma, cerebrospinal fluid and lymph of goats by Mamman, M., McKeever, Declan J., Peregrine, A.S.

    Published 1995
    “…The concentration-versus-time data obtained were then analysed by standard non-compartmental procedures. …”
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    Conference Paper
  9. Coffea arabica yields decline in Tanzania due to climate change: global implications by Craparo, Alessandro Carmelo William, Asten, Piet J.A. van, Läderach, Peter R.D., Jassogne, Laurence T.P., Grab, S.W.

    Published 2015
    “…Using data from the northern Tanzanian highlands, we demonstrate for the first time that increasing night time (Tmin) temperature is the most significant climatic variable responsible for diminishing C. arabica yields between 1961 and 2012. …”
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    Journal Article
  10. Effect of extrusion variables on extrudates properties of water yam flour a response surface analysis by Oke, M.O., Awonorin, S., Sanni, Lateef O., Asiedu, Robert, Aiyedun, P.O.

    Published 2013
    “…It was observed that changing the feed moisture content, barrel temperature and screw speed significantly (P < 0.05) affected expansion ratio, torque, mass flow rate, residence time and specific mechanical energy of all the extrudates. …”
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    Journal Article
  11. Effect of bias correction of satellite-rainfall estimates on runoff simulations at the source of the Upper Blue Nile by Habib, E., Haile, Alemseged Tamiru, Sazib, N., Zhang, Y., Rientjes, T.H.M.

    Published 2014
    “…Three schemes are tested: space and time-invariant, time-variant and spatially invariant, and space and time variant. …”
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    Journal Article
  12. Flood forecasting in Niger-Benue basin using satellite and quantitative precipitation forecast data by Haile, Alemseged Tamiru, Tefera, F.T., Rientjes, T.H.M.

    Published 2016
    “…Availability of reliable, timely and accurate rainfall data is constraining the establishment of flood forecasting and early warning systems in many parts of Africa. …”
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    Journal Article
  13. Effect of climatic variability on malaria trends in Baringo County, Kenya by Kipruto, E.K., Ochieng, A.O., Anyona, D.N., Mbalanya, M., Mutua, Edna N., Onguru, D., Nyamongo, I.K., Estambale, B.B.A.

    Published 2017
    “…Changes in malaria prevalence corresponded to variations in rainfall and maximum temperature. Rainfall at a time lag of 2 months resulted in an increase in malaria transmission across the four zones while an increase in temperature at time lags of 0 and 1 month resulted in an increase in malaria cases in the riverine and highland zones, respectively. …”
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    Journal Article
  14. Evaluation of cassava cultivars for canopy retention and its relationship with field resistance to green spider mite by Nukenine, E.N., Dixon, Alfred G.O., Hassan, A.T., Asiwe, J.A.N.

    Published 1999
    “…Method I involves visual estimation and it takes the longest time; method II involves visual estimation and it takes the shortest time; and method III involves taking measurements and it takes a longer time than method II, but with a much shorter time than method I. …”
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    Journal Article
  15. Consumer demand heterogeneity and valuation of value-added pulse products: a case of precooked beans in Uganda by Aseete, Paul, Katungi, Enid M., Bonabana-Wabbi, Jackline, Birachi, Eliud Abucheli, Ugen, Michael Adrogu

    Published 2018
    “…Its consumption is, however, constrained by long cooking time, high cooking energy and water requirements. …”
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    Journal Article
  16. Local ecological knowledge can support improved management of small-scale fisheries in the Bay of Bengal by Ullah, Md. Hadayet, Abdul, Wahab, Rahman, Mohammad, Al, Shaheed, Uttam, Kumar, Rahman, Muhammad, Souhardya, Sazeed, Kabir, Ilias, Hossain, Md. Monayem, Rahman, Md. Bokthier, Chishty, Sk Md Saeef

    Published 2024
    “…Using FGD data, we systematically compared changes in fish catch rates and effort over time and space. Data were collected on major groups of species that had reasonable landing over time. …”
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    Journal Article
  17. Food Policy Research Capacity Indicators (FPRCI), 2011-2017: 2018 Global Food Policy Report Annex Table 4 by International Food Policy Research Institute

    Published 2018
    “…The final indicator ("publications per full-time equivalent researcher") is derived by dividing the number of international publications by the number of full-time equivalent researchers with a PhD, providing a measure of productivity.…”
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    Conjunto de datos
  18. Food Policy Research Capacity Indicators (FPRCI), 2011-2018: 2019 Global Food Policy Report Annex Table 3 by International Food Policy Research Institute

    Published 2019
    “…The final indicator ("publications per full-time equivalent researcher") is derived by dividing the number of international publications by the number of full-time equivalent researchers with a Ph.D., providing a measure of productivity.…”
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    Conjunto de datos
  19. Physiological mechanisms contributing to the QTL qDTY3.2effects on improved performance of rice Moroberekan x Swarna BC2F3:4 lines under drought by Grondin, Alexandre, Dixit, Shalabh, Torres, Rolando, Venkateshwarlu, Challa, Rogers, Eric, Mitchell-Olds, Thomas, Benfey, Philip N., Kumar, Arvind, Henry, Amelia

    Published 2018
    “…We hypothesize that the qDTY3.2 associated RSA phenotypes led to better use of water and metabolic resources which, combined with earlier flowering time, improved yield under drought."…”
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    Journal Article
  20. Nutrición y calidad by International Center for Tropical Agriculture

    Published 1985
    “…The influence of location, harvest time, and var. on cooking time, seed hardness, and CP content was also studied to determine if genetic or environmental variability, or interaction of the 2, can influence some cooking and nutritive seed characteristics. …”
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    Book Chapter

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