Modeling growth, development and yield of cassava: A review

cg.authorship.typesCGIAR and developing country instituteen
cg.authorship.typesCGIAR and advanced research instituteen
cg.contributor.affiliationUniversity of Floridaen
cg.contributor.affiliationInternational Center for Tropical Agricultureen
cg.contributor.affiliationInternational Institute of Tropical Agricultureen
cg.contributor.affiliationCGIAR Research Program on Climate Change, Agriculture and Food Securityen
cg.contributor.affiliationAfrican Plant Nutrition Instituteen
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.donorBill & Melinda Gates Foundationen
cg.creator.identifierJames Cock: 0000-0001-9857-3568
cg.creator.identifierJulian Ramirez-Villegas: 0000-0002-8044-583X
cg.creator.identifierPieter Pypers: 0000-0001-8913-0589
cg.creator.identifierChristine Kreye: 0000-0001-6090-2856
cg.creator.identifierKODJOVI SENAM EZUI: 0000-0002-6898-6481
cg.creator.identifierLuis Augusto Becerra Lopez-Lavalle: 0000-0003-3520-2270
cg.creator.identifierLeidy Patricia Moreno Cadena: 0000-0002-8326-6124
cg.identifier.doihttps://doi.org/10.1016/j.fcr.2021.108140en
cg.isijournalISI Journalen
cg.issn0378-4290en
cg.journalField Crops Researchen
cg.reviewStatusPeer Reviewen
cg.subject.alliancebiovciatCASSAVAen
cg.subject.impactAreaNutrition, health and food security
cg.subject.impactAreaClimate adaptation and mitigation
cg.subject.sdgSDG 13 - Climate actionen
cg.subject.sdgSDG 2 - Zero hungeren
cg.volume267en
dc.contributor.authorMoreno Cadena, Leidy Patriciaen
dc.contributor.authorHoogenboom, Gerriten
dc.contributor.authorCock, James H.en
dc.contributor.authorRamírez Villegas, Julián Armandoen
dc.contributor.authorPypers, Pieteren
dc.contributor.authorKreye, Christineen
dc.contributor.authorTariku, Mekliten
dc.contributor.authorEzui, Kodjovi Senamen
dc.contributor.authorBecerra López Lavelle, Luis Augustoen
dc.contributor.authorAsseng, Sentholden
dc.date.accessioned2022-01-11T09:45:34Zen
dc.date.available2022-01-11T09:45:34Zen
dc.identifier.urihttps://hdl.handle.net/10568/117425
dc.titleModeling growth, development and yield of cassava: A reviewen
dcterms.abstractCassava is an important crop in the developing world. The goal of this study was to review published cassava models (18) for their capability to simulate storage root biomass and to categorize them into static and dynamic models. The majority (14) are dynamic and capture within season growth dynamics. Most (13) of the dynamic models consider environmental factors such as temperature, solar radiation, soil water and nutrient restrictions. More than half (10) have been calibrated for a distinct genotype. Only one of the four static models includes environmental variables. While the static regression models are useful to estimate final yield, their application is limited to the locations or varieties used for their development unless recalibrated for distinct conditions. Dy namic models simulate growth process and provide estimates of yield over time with, in most cases, no fixed maturity date. The dynamic models that simulate the detailed development of nodal units tend to be less accurate in determining final yield compared to the simpler dynamic and statistic models. However, they can be more safely applied to novel environmental conditions that can be explored in silico. Deficiencies in the current models are highlighted including suggestions on how they can be improved. None of the current dynamic cassava models adequately simulates the starch content of fresh cassava roots with almost all models based on dry biomass simulations. Further studies are necessary to develop a new module for existing cassava models to simulate cassava quality.en
dcterms.accessRightsOpen Access
dcterms.audienceScientistsen
dcterms.available2021-04-12
dcterms.bibliographicCitationMoreno-Cadena, P.; Hoogenboom, G.; Cock, J.H.; Ramirez-Villegas, J.; Pypers, P.; Kreye, C.; Tariku, M.; Ezui, K.S.; Becerra Lopez-Lavalle, L.A.; Asseng, S. (2021) Modeling growth, development and yield of cassava: A review. Field Crops Research 267:108140. 13 p. ISSN: 0378-4290en
dcterms.extent13 p.en
dcterms.issued2021-06
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherElsevieren
dcterms.subjectdry matter contenten
dcterms.subjectfood securityen
dcterms.subjectsimulation modelsen
dcterms.subjectsupport measuresen
dcterms.subjectcontenido de materia secaen
dcterms.subjectseguridad alimentariaen
dcterms.subjectmodelos de simulaciónen
dcterms.typeJournal Article

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