Effects of winter wheat N status on assimilate and N partitioning in the mechanistic agroecosystem model DAISY
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Effects of winter wheat N status on assimilate and N partitioning in the mechanistic agroecosystem model DAISY. / Gyldengren, Jacob Glerup; Abrahamsen, Per; Olesen, Jørgen E.; Styczen, Merete; Hansen, Søren; Gislum, René.
I: Journal of Agronomy and Crop Science, Bind 206, Nr. 6, 2020, s. 784-805.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Effects of winter wheat N status on assimilate and N partitioning in the mechanistic agroecosystem model DAISY
AU - Gyldengren, Jacob Glerup
AU - Abrahamsen, Per
AU - Olesen, Jørgen E.
AU - Styczen, Merete
AU - Hansen, Søren
AU - Gislum, René
PY - 2020
Y1 - 2020
N2 - Nitrogen (N) management in modern farming needs to balance the interests of yield quantity and quality with environmental impact of reactive N lost to the atmosphere and aquatic environments. Mechanistic agroecosystem models are useful tools to analyse the combined effects of management options and natural conditions, including soil fertility and climate, site-specific optimal N application rates and environmental impact. An important component of the system description is the crop module, including the responses to N status and N stress. To improve the description of crop growth response to N status in the DAISY model system, we implemented an empirical model for N status effects in winter wheat on the partitioning of assimilated dry matter and N between leaves and stems, originally described by Ratjen and Kage (Journal of Agronomy and Crop Science, 2016, 202, 576s). To our knowledge, this mechanism has not been included in any of the most widespread and commonly used mechanistic agroecosystem models. We tested and compared the model performancewith and without the new N status response against data from a two-seasonwinter wheat experiment in Denmark, where crop growth and partitioning of drymatter and N were measured. Implementation of the new N status response function improved model performance and ensured a more robust crop growth description, especially in scenarios with periods of low crop N status or N stress. The mechanism mimics an adaptation strategy, where the crop balances N stress and growth potential by dynamically adjusting the leaf-stem ratio and thereby N demand. This behaviour opens a discussion regarding the empirical concept of a biomass driven critical N curve.
AB - Nitrogen (N) management in modern farming needs to balance the interests of yield quantity and quality with environmental impact of reactive N lost to the atmosphere and aquatic environments. Mechanistic agroecosystem models are useful tools to analyse the combined effects of management options and natural conditions, including soil fertility and climate, site-specific optimal N application rates and environmental impact. An important component of the system description is the crop module, including the responses to N status and N stress. To improve the description of crop growth response to N status in the DAISY model system, we implemented an empirical model for N status effects in winter wheat on the partitioning of assimilated dry matter and N between leaves and stems, originally described by Ratjen and Kage (Journal of Agronomy and Crop Science, 2016, 202, 576s). To our knowledge, this mechanism has not been included in any of the most widespread and commonly used mechanistic agroecosystem models. We tested and compared the model performancewith and without the new N status response against data from a two-seasonwinter wheat experiment in Denmark, where crop growth and partitioning of drymatter and N were measured. Implementation of the new N status response function improved model performance and ensured a more robust crop growth description, especially in scenarios with periods of low crop N status or N stress. The mechanism mimics an adaptation strategy, where the crop balances N stress and growth potential by dynamically adjusting the leaf-stem ratio and thereby N demand. This behaviour opens a discussion regarding the empirical concept of a biomass driven critical N curve.
KW - Faculty of Science
KW - critical N dilution curve
KW - crop physiology
KW - dynamic modelling
KW - nitrogen status
KW - nitrogen stress
KW - Winter wheat
U2 - 10.1111/jac.12412
DO - 10.1111/jac.12412
M3 - Journal article
VL - 206
SP - 784
EP - 805
JO - Journal of Agronomy and Crop Science
JF - Journal of Agronomy and Crop Science
SN - 0931-2250
IS - 6
ER -
ID: 241583489