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Using plant growth modeling to analyze C source–sink relations under drought: inter- and intraspecific comparison

Overview of attention for article published in Frontiers in Plant Science, January 2013
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Title
Using plant growth modeling to analyze C source–sink relations under drought: inter- and intraspecific comparison
Published in
Frontiers in Plant Science, January 2013
DOI 10.3389/fpls.2013.00437
Pubmed ID
Authors

Benoît Pallas, Anne Clément-Vidal, Maria-Camila Rebolledo, Jean-Christophe Soulié, Delphine Luquet

Abstract

The ability to assimilate C and allocate non-structural carbohydrates (NSCs) to the most appropriate organs is crucial to maximize plant ecological or agronomic performance. Such C source and sink activities are differentially affected by environmental constraints. Under drought, plant growth is generally more sink than source limited as organ expansion or appearance rate is earlier and stronger affected than C assimilation. This favors plant survival and recovery but not always agronomic performance as NSC are stored rather than used for growth due to a modified metabolism in source and sink leaves. Such interactions between plant C and water balance are complex and plant modeling can help analyzing their impact on plant phenotype. This paper addresses the impact of trade-offs between C sink and source activities and plant production under drought, combining experimental and modeling approaches. Two contrasted monocotyledonous species (rice, oil palm) were studied. Experimentally, the sink limitation of plant growth under moderate drought was confirmed as well as the modifications in NSC metabolism in source and sink organs. Under severe stress, when C source became limiting, plant NSC concentration decreased. Two plant models dedicated to oil palm and rice morphogenesis were used to perform a sensitivity analysis and further explore how to optimize C sink and source drought sensitivity to maximize plant growth. Modeling results highlighted that optimal drought sensitivity depends both on drought type and species and that modeling is a great opportunity to analyze such complex processes. Further modeling needs and more generally the challenge of using models to support complex trait breeding are discussed.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
United States 1 <1%
India 1 <1%
Thailand 1 <1%
Panama 1 <1%
Unknown 101 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 30%
Student > Ph. D. Student 21 20%
Student > Master 13 12%
Student > Bachelor 5 5%
Lecturer 4 4%
Other 16 15%
Unknown 14 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 65 62%
Environmental Science 9 9%
Engineering 3 3%
Mathematics 2 2%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 2 2%
Unknown 22 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 November 2013.
All research outputs
#20,209,145
of 22,729,647 outputs
Outputs from Frontiers in Plant Science
#15,891
of 19,991 outputs
Outputs of similar age
#248,798
of 280,769 outputs
Outputs of similar age from Frontiers in Plant Science
#241
of 517 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 19,991 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 517 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.