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Forecasting the Population Development of within-Season Insect Crop Pests in Sub-Saharan Africa: The Pest Risk Information Service

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dc.contributor.authorDay Charlotte
dc.contributor.authorSean T Murphy
dc.contributor.authorJon Styles
dc.contributor.authorBryony Taylor
dc.contributor.authorTim Beale
dc.contributor.authorWilliam Holland
dc.contributor.authorFrances William
dc.contributor.authorAndy Shaw
dc.contributor.authorCambria Finegold
dc.contributor.authorMaryLucy Oronje
dc.contributor.authorBirgitta Oppong-Mensah
dc.contributor.authorNoah Phiri
dc.contributor.authorAlyssa Lowry
dc.contributor.authorElizabeth A Finch
dc.contributor.authorJosephine Mahony
dc.contributor.authorSuzy Wood
dc.contributor.authorLéna Durocher-Granger
dc.contributor.authorDuncan Chacha
dc.contributor.authorNorbert Maczey
dc.contributor.authorPablo Gonzalez-Moreno
dc.contributor.authorSarah E Thomas
dc.contributor.authorJoe Beeken
dc.contributor.authorJane Lewis
dc.contributor.authorGerado Lopez Saldana
dc.contributor.authorSolomon Duah
dc.contributor.authorMary Bundi
dc.contributor.authorLusike Wasilwa
dc.contributor.authorRuth Amata
dc.contributor.authorRuth Musila
dc.contributor.authorDaniel Mutisya
dc.contributor.authorChristine K Gitonga
dc.contributor.authorPatrick Kalama
dc.contributor.authorJohnson O Nyasani
dc.contributor.authorMatthews Matimelo
dc.contributor.authorHenry Mgomba
dc.contributor.authorChristopher Gaitu
dc.contributor.authorChristopher Ocloo
dc.contributor.authorIsaac Adjei-Mensah
dc.contributor.authorGodfried Ohene-Mensah
dc.contributor.authorJerry Asalma Nboyine
dc.contributor.authorBlessings Susuwele
dc.date.accessioned2024-07-05T12:15:23Z
dc.date.issued2024-01-22
dc.descriptionArticle
dc.description.abstractSmallholder farmers are the mainstay of the agricultural economies of sub-Saharan Africa (SSA), where they produce several crops, predominantly centered on maize. Smallholder productivity remains limited resulting from a range of confounding factors, but a primary cause is loss from pests and diseases, particularly insects. To improve productivity, recommendations for the mitigation of crop loss globally include early-warning and management systems for in-season indigenous pests. There are many early-warning systems in temperate regions; however, such systems are poorly established in Africa. This is in part due to the need for a combination of pest modeling, data handling and dissemination infrastructure, capacity, and resource provision. While each of these components is progressing in Africa, the means to successfully deploy such systems remain limited. To bridge this, the development of the Pest Risk Information Service (PRISE) began in 2017 for farmers in SSA. Implemented in Kenya, Ghana, Malawi, and Zambia, PRISE developed temperature-driven phenology models for major maize, bean, and tomato pests. Using downscaled and processed Earth Observation data to drive the models, PRISE partnered with African national agencies to communicate pre- and in-season pest alerts that forecast the time to act against key insect pests. Alerts were designed to be integrated into country-specific Good Agricultural Practice (GAP) recommendations to provide a complementary package to agricultural stakeholders. End line studies with farmers showed that those who received information about the target crops including PRISE pest forecasts, generally reported better outcomes in terms of reduced losses and increased incomes compared with farmers who did not.
dc.description.sponsorshipUK Space Agency International Partnerships PrCABI PlantwisePlus program as a collaboration between CABI and Assimila LTD
dc.identifier.citationCharlotte Day, Sean T Murphy, Jon Styles, Bryony Taylor, Tim Beale, William Holland, Frances Williams, Andy Shaw, Cambria Finegold, MaryLucy Oronje, Birgitta Oppong-Mensah, Noah Phiri, Alyssa Lowry, Elizabeth A Finch, Josephine Mahony, Suzy Wood, Léna Durocher-Granger, Duncan Chacha, Norbert Maczey, Pablo Gonzalez-Moreno, Sarah E Thomas, Joe Beeken, Jane Lewis, Gerado Lopez Saldana, Solomon Duah, Mary Bundi, Lusike Wasilwa, Ruth Amata, Ruth Musila, Daniel Mutisya, Christine K Gitonga, Patrick Kalama, Johnson O Nyasani, Matthews Matimelo, Henry Mgomba, Christopher Gaitu, Christopher Ocloo, Isaac Adjei-Mensah, Godfried Ohene-Mensah, Jerry Asalma Nboyine, Blessings Susuwele, Forecasting the population development of within-season insect crop pests in sub-Saharan Africa: the Pest Risk Information Service, Journal of Integrated Pest Management, Volume 15, Issue 1, 2024, 7, https://doi.org/10.1093/jipm/pmad026
dc.identifier.urihttps://academic.oup.com/jipm/article/15/1/7/7585279
dc.identifier.urihttps://repository.nrf.go.ke/handle/123456789/1125
dc.language.isoen
dc.publisherJournal of Integrated Pest Management
dc.subjectforecasting
dc.subjectinsect crop pest
dc.subjectsub-Saharan Africa
dc.subjectmodeling
dc.subjectEarth Observation
dc.titleForecasting the Population Development of within-Season Insect Crop Pests in Sub-Saharan Africa: The Pest Risk Information Service
dc.typeArticle
dspace.entity.typePublication

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