Resultados de búsqueda - FIFA.~

Long-term drivers of food and nutrition security por Laborde Debucquet, David, Majeed, Fahd, Tokgoz, Simla, Torero, Máximo

“…Therefore, careful quantitative assessment is needed for each policy option. Finally, we propose a typology of variables that will help modelers adapt their models to study the different drivers through both direct and indirect effects.…”
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A rapid value chain analysis including agroecological assessment: Olive Oil Value Chain Analysis in El Kef Governorate, North-West Tunisia por Dhehibi, Boubaker, Souissi, Asma, M. Oumer, Ali, Frija, Aymen, Idoudi, Zied, Ouerghemmi, Hassen, Shiri, Zahra, Le, Quang Bao, Alary, Veronique, Rudiger, Udo, Rekik, Mourad, Oueslati-Zlaoui, Meriem, Dhraief, Mohamed Zied, Majri, Rihab, Ouji, Mourad

“…The 13 agroecological principles applied to the value chains selected by the participants are discussed and identified during the focus groups. Finally, the business model proposed based on the participatory approach with the main stakeholders in both locations is olive oil in Kef governorate. …”
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The agrifood system in PNG: Structure and drivers of transformation por Diao, Xinshen, Dorosh, Paul A., Escalante, Luis Enrique, Pradesha, Angga, Thurlow, James, Junyan, Tian

“…We go on to disaggregate PNG’s AFS across agricultural value chains, taking into consideration their different market structures and historical contribution to economic growth and transformation. Finally, we use a forward-looking economywide model to assess the diverse contributions that specific value chains can make to each of a set of broad development outcomes. …”
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Beyond the numbers: How urban households in Central America responded to the recent global crises por Hernandez, Manuel A., Robles, Miguel, Torero, Máximo

“…La primera golpeó a la región entre el 2007 y mediados del 2008, mientras que la segunda hizo lo propio hacia finales del 2008 y a lo largo del 2009. La inflación del sector de alimentos y bebidas fue particularmente notable durante el año 2007 y la primera mitad del 2008, sobrepasando en forma consistente el nivel de inflación general en Centroamérica. …”
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Access, adoption, and diffusion: Understanding the long-term impacts of improved vegetable and fish technologies in Bangladesh por Kumar, Neha, Quisumbing, Agnes R.

“…We argue that the differences in long-term and short-term impacts arise from several causes: differences in dissemination and targeting mechanisms that may affect what types of households adopt and benefit from the technologies; initial existing differences between control and treatment groups (controlled for using matching methods); the degree to which a technology is divisible and easily disseminated outside the treatment group; and finally, intrahousehold allocation processes that determine how gains from the new technology are allocated among household members.…”
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Agriculture and the economic transformation of Ethiopia por Mellor, John W., Dorosh, Paul A.

“…In order to achieve this rapid agricultural growth with positive economy-wide linkages, however, it is necessary to engage "middle farmers", large enough to adopt new technologies and produce significant marketed surpluses, but small and numerous enough to have spending patterns that drive a vibrant rural non-farm sector. Finally, public and private investments in road, electricity and telecommunications are also needed to reduce marketing costs and enable growth in rural market towns and secondary cities, and provide social services to rural people. …”
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Producer Support Estimates (PSEs) for agriculture in developing countries: measurement issues and illustrations from India and China por Mullen, Kathleen, Sun, Dongsheng, Orden, David, Gulati, Ashok

“…We also explore how relaxing or changing certain standard PSE assumptions (such as altering the “scaling up” procedure or computing the PSE as a percentage of value of production at world reference prices) can have large impacts on the results. Finally, for commodities that are near self-sufficiency, we follow Byerlee and Morris (1993) and define a relevant adjusted reference price based on the relationship between an estimated autarky price and the import and export prices. …”
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Defining a target population of environments in Africa for Brachiaria sp. and Guinea grass breeding por Mora, Brayan, Jauregui, Rosa Noemi, Llanos Herrera, Lizeth, Peters, Michael, Van Der Hoek, Rein, Notenbaert, An

“…K-Means was then used predict these groups in Colombia using the principal components calculated for this country. Finally, the process was adjusted by calculating the similarity between the centroid of one of the groups defined in Southeast and West Africa and the same group using the prediction for Colombia. …”
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Assessment of genetic diversity and heterotic alignment of CIMMYT and IITA maize inbred lines adapted to sub-Saharan Africa por Gonhi, T., Odong, T.L., Dramadri, I.O., Ochwo-Ssemakula, M., Chiteka, Z.A., Adjei, S.A., Muungani, D., Menkir, A., Badu-Apraku, B., Adejumobi, I., Uwimana, B., Dhliwayo, T., Wegary, D., Derera, J.

“…The STRUCTURE analysis revealed six subpopulations (fixation index value = 0.58), which depicts a moderate genetic diversity among the materials. …”
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A best way forward to the organisation of entomological training courses in sub-Saharan Africa por Jordaens, K., Meyer, M. de, Nuffel, M. van, Kirk-Spriggs, A.H., Sabuni, C., Mwatawala, M., Mujabwa, R., Kabota, S., Bellingan, T., Goergen, G., Mansell, M., Manrakhan, A., Sinzogan, A., Schutze, M.K., Thomas-Cabianca, A., Copeland, R., Muller, B., Virgilio, M., Bert, E., November, E., Midgley, J.

“…We believe that this kind of training courses presents a best way forward in the organisation of similar capacity building activities that will contribute to a sustainable network of entomologists. Finally, these training courses may be one of the many possible ways to reduce the gender inequality gap in biological sciences in the Afrotropical Region.…”
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Genomic insights of a native bacterial consortium for wheat production sustainability por Ayala Zepeda, Marisol, Valenzuela Ruiz, Valeria, Parra Cota, Fannie Isela, Chinchilla-Soto, Cristina, de la Cruz Torres, Eulogio, Ibba, Marí Itria, Estrada-Alvarado, María Isabel, de los Santos Villalobos, Sergio

“…The genomic bioinformatic analysis of the studied strains showed a great number of biofertilization-related genes regarding N and Fe acquisition, P assimilation, CO 2 fixation, Fe, P, and K solubilization, with important roles in agroecosystems, as well as genes related to the production of siderophores and stress response. …”
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A high-performance computational workflow to accelerate GATK SNP detection across a 25-genome dataset por Zhou, Yong, Kathiresan, Nagarajan, Yu, Zhichao, Rivera, Luis F., Yang, Yujian, Thimma, Manjula, Manickam, Keerthana, Chebotarov, Dmytro, Mauleon, Ramil, Chougule, Kapeel, Wei, Sharon, Gao, Tingting, Green, Carl D., Zuccolo, Andrea, Xie, Weibo, Ware, Doreen, Zhang, Jianwei, McNally, Kenneth L., Wing, Rod A.

“…We benchmarked HPC-GVCW on multiple crop species for performance and accuracy with comparable results with previously published reports (using GATK alone). Finally, we used HPC-GVCW in production mode to call SNPs on a “subpopulation aware” 16-genome rice reference panel with ~ 3000 resequenced rice accessions. …”
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A review of multimodal deep learning methods for genomic-enabled prediction in plant breeding por Montesinos-Lopez, Osval A., Chavira-Flores, Moises, Kismiantini, Crespo-Herrera, Leonardo A., Saint Pierre, Carolina, Huihui Li, Fritsche-Neto, Roberto, Khalid Al-Nowibet, Montesinos-Lopez, Abelardo, Crossa, José

“…We mention some of the available computational resources for the practical implementation of multimodal deep learning problems. We finally performed a review of applications of multimodal deep learning to genomic selection in plant breeding and other related fields. …”
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Methodology: ssb-MASS: a single seed-based sampling strategy for marker-assisted selection in rice por Arbelaez, Juan David, Tandayu, Erwin, Reveche, Maria Ymber, Jarana, Annalhea, van Rogen, Petra, Sandager, Line, Stolt, Patrik, Ng, Enghwa, Varshney, Rajeev K., Kretzschmar, Tobias, Cobb, Joshua

“…Integrated breeding approaches such as combining marker-assisted selection and rapid line fixation through single-seed-descent, can effectively increase the frequency of desirable alleles in a breeding program and increase the rate of genetic gain for quantitative traits by shortening the breeding cycle. …”
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The impact of non-tariff barriers on maize and beef trade in East Africa por Karugia, Joseph T., Wanjiku, J., Nzuma, J., Gbegbelegbe, Sika, Macharia, E., Massawe, Stella C., Freeman, H.A., Waithaka, M.M., Kaitibie, S.

“…Other policy recommendations include streamlining of administrative procedures at border points to improve efficiency, and speeding up the implementation of procedures at point of origin and at the border points. Finally, the study recommends the need to design and implement monitoring systems to provide feedback to the relevant authorities on the implementation of measures to remove unnecessary barriers to trade within the EAC region.…”
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Mapping populations at risk: improving spatial demographic data for infectious disease modeling and metric derivation por Tatem, Andrew J., Adamo, Susana, Bharti, Nita, Burgert, Clara R., Castro, Marcia, Dorelien, Audrey, Fink, Gunter, Linard, Catherine, John, Mendelsohn, Montana, Livia, Montgomery, Mark R., Nelson, Andrew, Noor, Abdisalan M., Pindolia, Deepa, Yetman, Greg, Balk, Deborah

“…Moreover, the importance of acknowledging, measuring, and accounting for uncertainty in spatial demographic datasets is outlined. Finally, a strategy for building an open-access database of spatial demographic data that is tailored to epidemiological applications is put forward.…”
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Mapping irrigated areas of Ghana using fusion of 30 m and 250 m resolution remote-sensing data por Gumma, Murali Krishna, Thenkabail, Prasad S., Hideto, Fujii, Nelson, Andrew, Dheeravath, Venkateswarlu, Busia, Dawuni, Rala, Arnel

“…A decision tree approach using Landsat 30 m one time data fusion with MODIS 250 m time-series data was adopted to classify, group, and label classes. Finally, classes were tested and verified using ground truth data and national statistics. …”
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HER+ Gender Equality Impact Story Book por CGIAR Initiative on Gender Equality, Cummings, Sarah

“…The fourth story, Adoption of sustainable land management interventions in Ethiopia, provides a summary of how HER+ WP3 PROTECT has collaborated with World Vision International and others to integrate co-designed sustainable land management interventions within Ethiopia’s social protection programming, reaching women in poor rural households. Finally, Sustainability systems address gender inequality in value chains from WP4 VOICE shows how HER+ has collaborated with ISEAL Alliance, a global membership organization for sustainability systems, to strengthen capacities to integrate gender equality considerations into Voluntary Sustainability Standards and programming. …”
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Daily bias-corrected weather data and daily simulated growth data of maize, millet, sorghum, and wheat in the changing climate of sub-Saharan Africa por Alimagham, Seyyedmajid, van Loon, Marloes P., Ramirez-Villegas, Julian, Berghuijs, Herman N. C, van Ittersum, Martin K.

“…The weather and crop growth data can provide key insights about agro-meteorological conditions and water-limited crop output to inform adaptation priorities and benchmark (gridded) crop simulations. Finally, the weather and simulated growth data can also be used for training machine learning techniques for extrapolation purposes.…”
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Randomized controlled trial (rct) study on gender inclusive approach to improve the adoption of the Site Specific Fertilizer Recommendation (SSFR) using digital service in ethiopia por Arouna, A., Yergo, W.G., Aboudou, R., Gbede, T.R.

“…In relation to food security and the poverty index, preliminary results showed that the most of farmers households have an acceptable level of dietary diversity, meal frequency and nutritional importance of the food groups consumed; and the poverty index of the population remains was 38%. Finally, regarding decision-making within the household, in 28% of cases, decisions are taken jointly by men and women; on the other hand, over 49% of decisions are taken solely by men.…”
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