Evidence map›Paper›PMID 32557592›Full record

ArticleThe New phytologist2020

Use of hydraulic traits for modeling genotype-specific acclimation in cotton under drought.

Diane R Wang, Martin D Venturas, D Scott Mackay, Douglas J Hunsaker, Kelly R Thorp, Michael A Gore, Duke Pauli

Abstract read
In one paragraph

Article in The New phytologist, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Diane R WangDepartment of Geography, University at Buffalo, Buffalo, NY, 14261, USA.ORCID 0000-0002-2290-3257
Martin D VenturasSchool of Biological Sciences, University of Utah, Salt Lake City, UT, 84112, USA.ORCID 0000-0001-5972-9064
D Scott MackayDepartment of Geography, University at Buffalo, Buffalo, NY, 14261, USA.ORCID 0000-0003-0477-9755
Douglas J HunsakerUS Arid-Land Agricultural Research Center, Maricopa, AZ, 37860, USA.
Kelly R ThorpUS Arid-Land Agricultural Research Center, Maricopa, AZ, 37860, USA.ORCID 0000-0001-9168-875X
Michael A GorePlant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, NY, 14853, USA.ORCID 0000-0001-6896-8024
Duke PauliSchool of Plant Sciences, University of Arizona, Tucson, AZ, 85721, USA.ORCID 0000-0002-8292-2388

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the genetic and physiological basis of abiotic stress tolerance under field conditions is key to varietal crop improvement in the face of climate variability. Here, we investigate dynamic physiological responses to water stress in silico and their relationships to genotypic variation in hydraulic traits of cotton (Gossypium hirsutum), an economically important species for renewable textile fiber production. In conjunction with an ecophysiological process-based model, heterogeneous data (plant hydraulic traits, spatially-distributed soil texture, soil water content and canopy temperature) were used to examine hydraulic characteristics of cotton, evaluate their consequences on whole plant performance under drought, and explore potential genotype × environment effects. Cotton was found to have R-shaped hydraulic vulnerability curves (VCs), which were consistent under drought stress initiated at flowering. Stem VCs, expressed as percent loss of conductivity, differed across genotypes, whereas root VCs did not. Simulation results demonstrated how plant physiological stress can depend on the interaction between soil properties and irrigation management, which in turn affect genotypic rankings of transpiration in a time-dependent manner. Our study shows how a process-based modeling framework can be used to link genotypic variation in hydraulic traits to differential acclimating behaviors under drought.

Indexed as

DroughtsGossypiumAcclimatizationGenotypeStress, PhysiologicalTextilesWaterWaterecophysiologygenetic variationGossypium hirsutumprocess-based modelsoil variability

Identifiers

PMID32557592
PMCPMC7586954

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.