Search Results - "Carlos

Tanzania - Africa RISING Baseline Evaluation Survey Questionnaires by Azzarri, Carlo, Haile, Beliyou, Charles, A., Roberts, C.

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Africa RISING data management plan by Azzarri, Carlo, Roberts, C., Bacou, M., Comanescu, M., Haile, Beliyou

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The farmers’ role in creating new genetic diversity by Fadda, Carlo

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Collaborative evaluation opportunities in Africa RISING Phase II by Azzarri, Carlo

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Agrobiodiversity data for supporting restoration of degraded ecosystem services by Arnaud, Elizabeth, Estrada-Carmona, Natalia, Valette, L., Gebrehawaryat, Y., Fadda, Carlo

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Using typologies for technology targeting by Groot, Jeroen C.J., Haile, Beliyou, Azzarri, Carlo

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Integrated policies to improve the energy–water–food system nexus to achieve the SGDs by Bollino, Carlo Andrea, Anbumozhi, Venkatachalam, Babu, Suresh Chandra, Eiji, Yamaji, Galeotti, Marzio

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Welfare effects of weather variability: Multi-country evidence from Africa south of the Sahara by Haile, Beliyou, Signorelli, Sara, Azzarri, Carlo, Johnson, Timothy

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El Niño-Southern oscillation impacts on agriculture and the national economy by Koo, Jawoo, Thurlow, James, Xie, Hua, Robertson, Richard D., Azzarri, Carlo, Kwon, Ho Young, Haile, Beliyou

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The excessive (and wasteful) consumption of food by Cafiero, Carlo

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Armed conflict and gendered participation in agrifood systems: Survey evidence from 29 African countries by Ronzani, Piero, Stojetz, Wolfgang, Azzarri, Carlo, Nico, Gianluigi, Mane, Erdgin, Brück, Tilman

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Gender pay gaps among agricultural and non-agricultural wage workers: A cross-country examination by Benali, Marwan, Slavchevska, Vanya, Piedrahita, Natalia, Davis, Benjamin, Sitko, Nicholas, Nico, Gianluigi, Azzarri, Carlo

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Digital tool integration, biodiversity, and the potato value chain in Kenya: Results from a baseline survey by Boukaka, Sedi Anne, Geoffrey, Baragu, Azzarri, Carlo

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Digital tool integration, biodiversity, and the potato value chain in Kenya: Results from a baseline survey by Boukaka, Sedi Anne, Geoffrey, Baragu, Azzarri, Carlo

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Breadwinner role and economic decision-making: Experimental evidence from Kenya by Vitellozzi, Sveva, Savadori, Lucia, Davis, Kristin E., Azzarri, Carlo, Kinuthia, Dickson, Ronzani, Piero

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Assessment of risks to human health associated with meat from different value chains in Nigeria: Using the example of the beef value chain by Okike, Iheanacho, Grace, Delia, Hussni, M., Dipeolu, M., Poole, Elizabeth J., Gachohi, John, Baker, Derek, Lore, Tezira A., Rushton, J., Makita, Kohei

“…Finally and based on inputs from the foregoing, the cost of treatment and lost productivity was estimated using Monte Carlo stochastic simulation to take into account uncertainty and variability that might have been introduced by the quality of data. …”
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Application of a Bayesian approach to quantify the impact of nitrogen fertilizer on upland rice yield in sub-Saharan Africa by Asai, H., Saito, Kazuki, Kawamura, K.

“…The results of the Markov chain Monte Carlo simulation indicated that greater precipitation improved YG with high credibility irrespective of soil type. …”
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Quantitative risk assessment of salmonellosis in Cambodian consumers through chicken and pork salad consumption by Chea, Rortana, Sinh Dang-Xuan, Hung Nguyen-Viet, Unger, Fred, Lindahl, Johanna F., Tum, S., Ty, C., Grace, Delia, Osbjer, K., Boqvist, Sofia

“…In the part of the study reported here, data on consumption, Salmonella in salad, dose-response, and predicted salmonellosis were modeled using Monte Carlo simulations at 10,000 iterations. The prevalence of Salmonella in chicken meat and pork were set to 42.6 and 45.1%, respectively, with average most probable number (MPN) per gram of Salmonella in chicken meat was 10.6 and in pork 11.1 MPN/g, based on an earlier study. …”
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Escherichia coli O157 serotype in beef carcasses post slaughterhouse in Nairobi and Eldoret, Kenya by Kago, J., Kang'ethe, Erastus K., Wangoh, J., Makita, K.

“…Probability of contamination was modeled and run through Monte Carlo simulation using winBUGS®. Prevalence and data from the questionnaire were analysed using SPSS Ver.17. …”
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How does access to agricultural markets relate to yield, food security, and poverty in northern Ghana? by Azzarri, Carlo, Haile, Beliyou, Castaing, P., Glover, Jerry, Kizito, Fred

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