Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Developing perennial fruit crop models in APSIM Next Generation using grapevine as an example
by
Raw, V
, Huth, N
, Greven, M
, Zhu, J
, Agnew, R
, Martin, D
, Trought, MCT
, Neal, S
, Hammer, Graeme
, Brown, HE
, Yang, L
, Parker, Amber
, Gou, F
in
Agricultural production
/ Arbitration
/ Carbohydrates
/ Crops
/ Developmental stages
/ Dormancy
/ Dry matter
/ Flowering
/ Fruit crops
/ Fruits
/ Interception
/ Light interception
/ Microclimate
/ Modules
/ Perennial crops
/ Seasonal variations
/ Weather
2021
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Developing perennial fruit crop models in APSIM Next Generation using grapevine as an example
by
Raw, V
, Huth, N
, Greven, M
, Zhu, J
, Agnew, R
, Martin, D
, Trought, MCT
, Neal, S
, Hammer, Graeme
, Brown, HE
, Yang, L
, Parker, Amber
, Gou, F
in
Agricultural production
/ Arbitration
/ Carbohydrates
/ Crops
/ Developmental stages
/ Dormancy
/ Dry matter
/ Flowering
/ Fruit crops
/ Fruits
/ Interception
/ Light interception
/ Microclimate
/ Modules
/ Perennial crops
/ Seasonal variations
/ Weather
2021
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Developing perennial fruit crop models in APSIM Next Generation using grapevine as an example
by
Raw, V
, Huth, N
, Greven, M
, Zhu, J
, Agnew, R
, Martin, D
, Trought, MCT
, Neal, S
, Hammer, Graeme
, Brown, HE
, Yang, L
, Parker, Amber
, Gou, F
in
Agricultural production
/ Arbitration
/ Carbohydrates
/ Crops
/ Developmental stages
/ Dormancy
/ Dry matter
/ Flowering
/ Fruit crops
/ Fruits
/ Interception
/ Light interception
/ Microclimate
/ Modules
/ Perennial crops
/ Seasonal variations
/ Weather
2021
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Developing perennial fruit crop models in APSIM Next Generation using grapevine as an example
Journal Article
Developing perennial fruit crop models in APSIM Next Generation using grapevine as an example
2021
Request Book From Autostore
and Choose the Collection Method
Overview
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.
Publisher
Oxford University Press on behalf of the Annals of Botany Company,Oxford University Press
Subject
This website uses cookies to ensure you get the best experience on our website.