Assessment of the relations between crop yield variability and the onset and intensity of the West African Monsoon

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cg.authorship.typesCGIAR multi-centreen
cg.contributor.affiliationUniversity of Göttingenen
cg.contributor.affiliationInternational Crops Research Institute for the Semi-Arid Tropicsen
cg.contributor.affiliationInternational Livestock Research Instituteen
cg.contributor.affiliationInstitut Sénégalais de Recherches Agricolesen
cg.contributor.affiliationAgence Nationale de l'Aviation Civile et de la Météorologie, Senegalen
cg.contributor.donorWorld Banken
cg.contributor.donorCGIAR Trust Funden
cg.contributor.initiativeClimate Resilience
cg.contributor.initiativeLivestock and Climate
cg.contributor.initiativeWest and Central African Food Systems Transformation
cg.coverage.countrySenegal
cg.coverage.iso3166-alpha2SN
cg.coverage.regionAfrica
cg.coverage.regionWestern Africa
cg.creator.identifierJacob Emanuel Joseph: 0000-0002-0214-7298en
cg.creator.identifierFolorunso Mathew Akinseye: 0000-0002-8677-6306en
cg.creator.identifierNadine Worou: 0000-0001-7996-5478en
cg.creator.identifierAnthony Whitbread: 0000-0003-4840-7670en
cg.identifier.doihttps://doi.org/10.1016/j.agrformet.2023.109431en
cg.isijournalISI Journalen
cg.issn0168-1923en
cg.journalAgricultural and Forest Meteorologyen
cg.reviewStatusPeer Reviewen
cg.subject.actionAreaResilient Agrifood Systems
cg.subject.ilriAGRICULTUREen
cg.subject.ilriCLIMATE CHANGEen
cg.subject.ilriDRYLANDSen
cg.subject.impactAreaClimate adaptation and mitigation
cg.volume333en
dc.contributor.authorJoseph, Jacob Emanuelen
dc.contributor.authorAkinseye, Folorunso M.en
dc.contributor.authorWorou, Nadineen
dc.contributor.authorFaye, Aliouen
dc.contributor.authorKonte, Oumaren
dc.contributor.authorWhitbread, Anthony M.en
dc.contributor.authorRötter, Reimund P.en
dc.date.accessioned2023-06-05T13:04:26Zen
dc.date.available2023-06-05T13:04:26Zen
dc.identifier.urihttps://hdl.handle.net/10568/130624
dc.titleAssessment of the relations between crop yield variability and the onset and intensity of the West African Monsoonen
dcterms.abstractTimely information on the onset of rain is essential for effectively adapting to climate variability and increasing the resilience of rain-fed systems. However, defining optimal sowing dates based on the onset of rain has been challenging. We compared and analyzed the West African Monsoon onset according to Raman’s, modified Sivakumar’s, Yamada’s, and Liebmann’s definitions using station data from 13 locations in Senegal from 1981 to 2020. Subsequently, we systematically analyzed the effect of the differently estimated monsoon onsets(WAM-OS) on maize development. To this end, we applied the set of the generated WAM-OS as sowing dates in simulations of maize growth and yields, applying the Agricultural Production Systems sIMulator(APSIM) at 13 locations representing different agroclimatic regions across Senegal. We examined the impact of the sowing dates under variable conditions of soil organic carbon(SOC) and plant available water capacity(PAWC). Our analysis showed statistically significant differences between the WAM-OS dates, rainfall characteristics computed for these, and maize yields simulated using different sowing dates according to the WAM-OS definitions. We found Liebmann’s onset dates were most suitable for both hydrological and agronomic applications since they were characterized by the lowest probabilities of prolonged dry spells after onset, the highest amount of rainfall in the mid-season, and the highest simulated maize yields compared to other onset definitions. Our results highlight the importance of sowing dates and their accurate prediction for improving crop productivity in the study area. We also found SOC and PAWC were important factors that improved maize yields. We recommend improved access to climate information services to help smallholder farmers get timely information that helps them in their sowing decisions and encourage agronomic interventions that improve the SOC level, soil pore volume to retain more water and other soil properties directly(e.g., tillage) and indirectly(suited cropping systems) that contribute to enhancing crop productivity.en
dcterms.accessRightsLimited Access
dcterms.audienceAcademicsen
dcterms.audienceCGIARen
dcterms.audienceDonorsen
dcterms.audiencePolicy Makersen
dcterms.audienceScientistsen
dcterms.available2023-04-15en
dcterms.bibliographicCitationJoseph EJ, Akinseye F, Worou N, Faye A, Konte O, Whitbread AM, Rötter R. 2023. Assessment of the relations between crop yield variability and the onset and intensity of the West African Monsoon. Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA).en
dcterms.extent109431en
dcterms.issued2023-04en
dcterms.languageen
dcterms.licenseCopyrighted; all rights reserved
dcterms.publisherElsevieren
dcterms.subjectassessmenten
dcterms.subjectcropsen
dcterms.subjectmonsoonsen
dcterms.subjectfood securityen
dcterms.subjectresilienceen
dcterms.subjectproduction systemsen
dcterms.subjectforestryen
dcterms.typeJournal Article

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