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פותח על ידי קלירמאש פתרונות בע"מ -
A Novel Plant-Climate Model to Predict Bloom Time of Deciduous Tree-Crops During Climate Shifts
Year:
2020
Source of publication :
World Food Day 2020
Authors :
שפרלינג, אור
;
.
Volume :
Co-Authors:
Facilitators :
From page:
22
To page:
23
(
Total pages:
2
)
Abstract:

Incentives:

Climate shifts are compromising productivity and limiting the expansion of deciduous tree-crops worldwide. To mitigate that, we need empirical data and a computational approach to guide farming applications. Biologically, multiple tree-species can produce sustainably in warmer or drier environments. Yet, it is difficult to predict their fit for site-specific climatic conditions. Researchers developed multiple plant-climate models to identify tree-crops' climatic requirements, mainly focusing on winter chill. However, the plant-climate models lacked a physiological framework that would enable upscaling to different climatic scenarios or new market varieties.

We set to develop a physiological framework for the climatic requirements of deciduous tree-crops. We recognized that dormant trees rely solely on stored energy, i.e., non-structural carbohydrates (NSC), for winter maintenance metabolism and spring bloom. We also acknowledged similarities between the empirical climate-plant models and the temperature-kinetics of starch metabolism. Hence, we postulated that dormant trees monitor winter progression by cellular adjustments to NSC metabolism.

Note:
Related Files :
blooming
climate change
fruit trees
Model
עוד תגיות
תוכן קשור
More details
DOI :
Article number:
0
Affiliations:
Database:
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
55551
Last updated date:
02/03/2022 17:27
Creation date:
12/07/2021 15:30
Scientific Publication
A Novel Plant-Climate Model to Predict Bloom Time of Deciduous Tree-Crops During Climate Shifts
A Novel Plant-Climate Model to Predict Bloom Time of Deciduous Tree-Crops During Climate Shifts .

Incentives:

Climate shifts are compromising productivity and limiting the expansion of deciduous tree-crops worldwide. To mitigate that, we need empirical data and a computational approach to guide farming applications. Biologically, multiple tree-species can produce sustainably in warmer or drier environments. Yet, it is difficult to predict their fit for site-specific climatic conditions. Researchers developed multiple plant-climate models to identify tree-crops' climatic requirements, mainly focusing on winter chill. However, the plant-climate models lacked a physiological framework that would enable upscaling to different climatic scenarios or new market varieties.

We set to develop a physiological framework for the climatic requirements of deciduous tree-crops. We recognized that dormant trees rely solely on stored energy, i.e., non-structural carbohydrates (NSC), for winter maintenance metabolism and spring bloom. We also acknowledged similarities between the empirical climate-plant models and the temperature-kinetics of starch metabolism. Hence, we postulated that dormant trees monitor winter progression by cellular adjustments to NSC metabolism.

Scientific Publication
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