Identifying key crop growth models for rain-fed potato (Solanum tuberosum L.) production systems in Atlantic Canada: A review with a working example

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creativework.keywords - en

root crops

dimension reduction

model selection

principal component analysis

potatoes

Atlantic Canada

creativework.keywords - fr

légumes-racines

réductin des dimensions

sélection du modèle

analyse en composantes principales

pomme de terre

Canada atlantique

dc.contributor.author

Islam, Mohammad

Li, Sheng

dc.date.accepted

2023-05-22

dc.date.accessioned

2024-12-09T22:07:57Z

dc.date.available

2024-12-09T22:07:57Z

dc.date.issued

2023-10-25

dc.description.abstract - en

The selective use of potato crop models is a key factor in increasing potato production. This requires a better understanding of the synergies and trade-off of crop management while accounting for the controlling effects of potato genetic and agro-climatic factors. Over the years, crop modeling for potato has relied on historical data and traditional management approaches. Improved modeling techniques have recently been exploited to target specific yield goals based on historical climatic records, future climate uncertainties and weather forecasts. However, climate change and new sources of information motivate better modeling strategies that might take advantage of the vast sources of information in the spectrum of actual, optimal and potential yield and potato management methodologies in a more systematic way. In this connection, two questions warrant interest: (i) how to deal with the variability of crop models relevant to their structure, data requirement and crop-soil-environmental factors, (ii) how to provide robustness to the selection process of a model for specific applications under unexpected change of their structure, data requirement and climatic factors. In this review, the different stages of potato model development are described. Thirty-three crop growth models are reviewed and their usage and characteristics are summarized. An overview of the literature is given, and a specific example is worked out for illustration purposes to identity key models suitable for potato management in the Atlantic provinces of Canada. Based on a categorical principal component analysis (CatPCA) procedure three potato models representing three principal components (PCs) were identified which will be useful for future potato production and yield simulation in this geographic area.

dc.identifier.citation

Islam, M., & Li, S. (2023). Identifying key crop growth models for rain-fed potato (Solanum tuberosum L.) production systems in Atlantic Canada: A review with a working example. American Journal of Potato Research, 100, 341–361. https://doi.org/10.1007/s12230-023-09915-5

dc.identifier.doi

https://doi.org/10.1007/s12230-023-09915-5

dc.identifier.issn

1099-209X

dc.identifier.uri

https://open-science.canada.ca/handle/123456789/3183

dc.language.iso

en

dc.publisher - en

Springer

dc.rights - en

Creative Commons Attribution 4.0 International (CC BY 4.0)

dc.rights - fr

Creative Commons Attribution 4.0 International (CC BY 4.0)

dc.rights.uri - en

https://creativecommons.org/licenses/by/4.0/

dc.rights.uri - fr

https://creativecommons.org/licenses/by/4.0/deed.fr

dc.subject - en

Agriculture

Potatoes

dc.subject - fr

Agriculture

Pomme de terre

dc.subject.en - en

Agriculture

Potatoes

dc.subject.fr - fr

Agriculture

Pomme de terre

dc.title - en

Identifying key crop growth models for rain-fed potato (Solanum tuberosum L.) production systems in Atlantic Canada: A review with a working example

dc.type - en

Article

dc.type - fr

Article

local.article.journaltitle - en

American Journal of Potato Research

local.article.journalvolume

100

local.pagination

341-361

local.peerreview - en

Yes

local.peerreview - fr

Oui

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