Modeling growth, development and yield of cassava: A review

Vista sencilla de ítem
dc.creatorMoreno Cadena, Leidy Patricia
dc.creatorHoogenboom, Gerrit
dc.creatorCock, James H.
dc.creatorRamírez Villegas, Julián Armando
dc.creatorPypers, Pieter
dc.creatorKreye, Christine
dc.creatorTariku, Meklit
dc.creatorEzui, Kodjovi Senam
dc.creatorBecerra López Lavelle, Luis Augusto
dc.creatorAsseng, Senthold
dc.date2021-06
dc.date2022-01-11T09:45:34Z
dc.date2022-01-11T09:45:34Z
dc.date.accessioned2026-06-27T16:10:06Z
dc.descriptionCassava 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.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/117425
dc.identifier.urihttp://hdl.handle.net/123456789/124366
dc.languageen
dc.publisherElsevier
dc.rightsOpen Access
dc.sourceMoreno-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: 0378-4290
dc.subjectdry matter content
dc.subjectfood security
dc.subjectsimulation models
dc.subjectsupport measures
dc.subjectcontenido de materia seca
dc.subjectseguridad alimentaria
dc.subjectmodelos de simulación
dc.titleModeling growth, development and yield of cassava: A review
dc.typeJournal Article

Archivos

Colecciones

Instituto Internacional de Agricultura Tropical (IITA)