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

Author:

Zhu Junqi1ORCID,Parker Amber2,Gou Fang3,Agnew Rob1,Yang Linlin1,Greven Marc4,Raw Victoria1,Neal Sue1,Martin Damian1,Trought Michael C T1,Huth Neil5,Brown Hamish Edward6

Affiliation:

1. The New Zealand Institute for Plant and Food Research Limited (PFR), Marlborough Research Centre, PO Box 845, Blenheim 7240, New Zealand

2. Department of Wine, Food and Molecular Biosciences, Faculty of Agriculture and Life Sciences, Lincoln University, PO Box 85084, Lincoln 7647, Christchurch, New Zealand

3. Bragato Research Institute, Marlborough Research Centre, PO Box 845, Blenheim 7240, New Zealand

4. Bordeaux Sciences Agro, 1 cours du Général de Gaulle, CS 40201 33175 Gradignan Cedex, France

5. CSIRO Agriculture and Food, PO Box 102, Toowoomba, Queensland 4350, Australia

6. The New Zealand Institute for Plant and Food Research Limited, Canterbury Agriculture & Science Centre, Private Bag 4704, Christchurch 8140, New Zealand

Abstract

Abstract A 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.

Funder

New Zealand Ministry of Business, Innovation and Employment

New Zealand Winegrowers

Sustainable Farming Fund

Sustainable Winegrowing New Zealand

Marlborough Research Centre Trust

Marlborough District Council

MBIE Strategic Science Investment Fund

Publisher

Oxford University Press (OUP)

Subject

Plant Science,Agronomy and Crop Science,Biochemistry, Genetics and Molecular Biology (miscellaneous),Modelling and Simulation

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