2021
DOI: 10.1016/j.fcr.2021.108140
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Modeling growth, development and yield of cassava: A review

Abstract: Highlights The majority (14) of the reviewed cassava models are dynamic. Detailed dynamic models tend to be less accurate in determining final yield. Only one of the four static models includes environmental variables. Cassava models do not represent the dynamics of starch content in fresh weight.

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Cited by 23 publications
(25 citation statements)
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“…The RMSE n ranged from 4.35 to 14.92% at Wallen and from 7.44 to 15.08% at Bernard Lodge for all varieties. Similar values were reported in calibration for genotypes in Thailand by Phoncharoen, Banterng, Moreno-Cadena, et al (2021). In general, the model simulated earlier forking at Bernard Lodge for all varieties except the CM 6119-5.…”
Section: Forking Characteristicssupporting
confidence: 83%
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“…The RMSE n ranged from 4.35 to 14.92% at Wallen and from 7.44 to 15.08% at Bernard Lodge for all varieties. Similar values were reported in calibration for genotypes in Thailand by Phoncharoen, Banterng, Moreno-Cadena, et al (2021). In general, the model simulated earlier forking at Bernard Lodge for all varieties except the CM 6119-5.…”
Section: Forking Characteristicssupporting
confidence: 83%
“…Harvest index measures the proportion of total biomass accounted by the economic portion of the crop, in this case, the storage roots. It usually reflects the correlation that commonly occurs between total biomass and yield (Ramanujam, 1990; Alvez, 2002; Moreno‐Cadena et al., 2020, 2021; Phoncharoen, Banterng, Moreno‐Cadena, et al., 2021). The model predicted the end‐of‐season HI at both sites, with deviation percentages ranging from −27.8 to +28.1%.…”
Section: Resultsmentioning
confidence: 99%
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