Junqi Zhu, A. Parker, F. Gou, R. Agnew, Linlin Yang, M. Greven, V. Raw, S. Neal, D. Martin, M. Trought, N. Huth, H. Brown
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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 datasets. 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. 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引用次数: 5
摘要
葡萄(Vitis vinifera L.)的新模型是第一个使用农业生产系统模拟器(APSIM)下一代框架的多年生水果作物模型。物候、光截获、碳水化合物分配、产量形成和浆果组成等模块被调整或添加到APSIM Next Generation中,以代表结果藤的性质。模拟的葡萄物候周期从秋季一个关键的光周期触发的休眠阶段开始,依次经历随后的物候阶段,最后回到休眠阶段进入新的周期。APSIM下一代中的冠层小气候模块被扩展到允许行作物光拦截。对碳水化合物仲裁者进行了改进,考虑了碳汇强度和碳汇优先级,以反映碳水化合物储备作为并发竞争汇的情况。关键发育阶段的天气条件和源汇比被用来确定潜在的葡萄产量成分,如束数、浆果数和浆果鲜重。该模型使用四个详细的数据集进行了广泛的校准和测试。该模型捕捉了新西兰5个不同品种在15个季节中测量的花蕾、开花和变节时间的变化。计算得到的行、巷截光季节动态与野外观测结果基本一致。该模型还再现了不同器官的干物质和碳水化合物储备的动态变化,以及季节天气条件和修剪制度引起的产量成分的广泛变化。在这项工作中开发的建模框架也可用于其他多年生水果作物。
Developing perennial fruit crop models in APSIM Next Generation using grapevine as an example
A new model for grapevines (Vitis vinifera L.) 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 datasets. 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.