Developing perennial fruit crop models in APSIM Next Generation using grapevine as an example

dc.contributor.authorZhu, J
dc.contributor.authorParker, Amber
dc.contributor.authorGou, F
dc.contributor.authorAgnew, R
dc.contributor.authorYang, L
dc.contributor.authorGreven, M
dc.contributor.authorRaw, V
dc.contributor.authorNeal, S
dc.contributor.authorMartin, D
dc.contributor.authorTrought, MCT
dc.contributor.authorHuth, N
dc.contributor.authorBrown, HE
dc.contributor.editorHammer, G
dc.date.accessioned2022-01-12T01:41:08Z
dc.date.available2021-07-22
dc.date.issued2021-07-22
dc.date.submitted2021-07-20
dc.description.abstractA new model for grapevines (Vitis vinifera) is the first perennial fruit crop model using the Agricultural Production System sIMulator (APSIM) Next Generation framework. Modules for phenology, light interception, carbohydrate allocation, yield formation and berry composition were adapted or added into APSIM Next Generation to represent the nature of fruit-bearing vines. The simulated grapevine phenological cycle starts with the dormancy phase triggered by a critical photoperiod in autumn, and then goes through the subsequent phenophases sequentially and finally returns to dormancy for a new cycle. The canopy microclimate module within APSIM Next Generation was extended to allow for row crop light interception. The carbohydrate arbitrator was enhanced to consider both sink strength and sink priority to reflect carbohydrate reserve as a concurrent competing sink. Weather conditions and source-sink ratio at critical developmental stages were used to determine potential grapevine yield components, e.g. bunch number, berry number and berry fresh weight. The model was calibrated and tested extensively using four detailed data sets. The model captured the variations in the timing of measured budburst, flowering and véraison over 15 seasons across New Zealand for five different varieties. The calculated seasonal dynamics of light interception by the row and alley were consistent with field observations. The model also reproduced the dynamics of dry matter and carbohydrate reserve of different organs, and the wide variation in yield components caused by seasonal weather conditions and pruning regimes. The modelling framework developed in this work can also be used for other perennial fruit crops.
dc.format.extent23 pages
dc.identifierhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=elements_prod&SrcAuth=WosAPI&KeyUT=WOS:000745293200004&DestLinkType=FullRecord&DestApp=WOS_CPL
dc.identifier.doi10.1093/insilicoplants/diab021
dc.identifier.eissn2517-5025
dc.identifier.issn2517-5025
dc.identifier.otherYK6AN (isidoc)
dc.identifier.urihttps://hdl.handle.net/10182/14514
dc.language.isoen
dc.publisherOxford University Press on behalf of the Annals of Botany Company
dc.relationThe original publication is available from Oxford University Press on behalf of the Annals of Botany Company - https://doi.org/10.1093/insilicoplants/diab021 - http://dx.doi.org/10.1093/insilicoplants/diab021
dc.relation.isPartOfin silico Plants
dc.relation.urihttps://doi.org/10.1093/insilicoplants/diab021
dc.rights© The Author(s) 2021. Published by Oxford University Press on behalf of the Annals of Botany Company.
dc.rights.ccnameAttribution
dc.rights.ccurihttps://creativecommons.org/licenses/by/4.0/
dc.subjectAPSIM Next Generation
dc.subjectberry number
dc.subjectbunch number
dc.subjectcarbohydrate allocation
dc.subjectgrapevine
dc.subjectphenology
dc.subjectrow crop light interception
dc.subject.anzsrc2020ANZSRC::300805 Oenology and viticulture
dc.subject.anzsrc2020ANZSRC::460207 Modelling and simulation
dc.subject.anzsrc2020ANZSRC::300207 Agricultural systems analysis and modelling
dc.subject.anzsrc2020ANZSRC::3004 Crop and pasture production
dc.subject.anzsrc2020ANZSRC::3108 Plant biology
dc.subject.anzsrc2020ANZSRC::4901 Applied mathematics
dc.titleDeveloping perennial fruit crop models in APSIM Next Generation using grapevine as an example
dc.typeJournal Article
lu.contributor.unitLU
lu.contributor.unitLU|Agriculture and Life Sciences
lu.contributor.unitLU|Agriculture and Life Sciences|WFMB
lu.contributor.unitLU|Research Management Office
lu.contributor.unitLU|Research Management Office|OLD QE18
lu.contributor.unitLU|Research Management Office|OLD PE20
lu.identifier.orcid0000-0002-3601-0951
pubs.article-numberdiab021
pubs.issue2
pubs.notesFunctional-Structural Plant Models special issue
pubs.publication-statusPublished
pubs.publisher-urlhttp://dx.doi.org/10.1093/insilicoplants/diab021
pubs.volume3
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Zhu et al 2021 Developing perennial fruit crop models.pdf
Size:
3.23 MB
Format:
Adobe Portable Document Format
Description:
Published PDF version
Licence bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Deposit licence agreement - R@L.pdf
Size:
396.23 KB
Format:
Adobe Portable Document Format
Description: