Methods for Functional Physiological Phenotyping and High-Order Data Quantification.

Ting Sun, Rujia Jiang, Yunxiu Liu, Pei Xu

Abstract read

In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact, top 84% of its field

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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 1 institution in 1 country.

Ting Sun *Key Laboratory of Specialty Agri-product Quality and Hazard Controlling Technology, College of Life Sciences, China Jiliang University, Hangzhou, China.

Rujia Jiang *Key Laboratory of Specialty Agri-product Quality and Hazard Controlling Technology, College of Life Sciences, China Jiliang University, Hangzhou, China.

Yunxiu LiuKey Laboratory of Specialty Agri-product Quality and Hazard Controlling Technology, College of Life Sciences, China Jiliang University, Hangzhou, China.

Pei XuKey Laboratory of Specialty Agri-product Quality and Hazard Controlling Technology, College of Life Sciences, China Jiliang University, Hangzhou, China. peixu@cjlu.edu.cn.

China Jiliang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This chapter presents the application of Plantarray, a high-throughput platform commercially available for noninvasive monitoring of plant functional physiology phenotyping (FPP). The platform continuously measures water flux in the soil-plant-atmosphere for each plant in dynamic environments. To better interpret the massive phenotypic data acquired with FPP, several quantitative analysis methods were demonstrated for various types of data. Simple mathematical models were utilized to fit characteristic parameters of plant transpiration response to drought stress. Additionally, ecophysiological models were employed to quantify the sensitivity of transpiration to radiation and vapor pressure deficit (VPD) as component traits and predict more complex higher-order traits. The established protocols provide a tangible tool for integrating FPP and model analysis to address complex traits.

Indexed as

PhenotypeDroughtsPlant Physiological PhenomenaPlant TranspirationStress, PhysiologicalWaterWaterComponent traitsEcophysiological modelFunctional physiological phenotypingHigher-order traitsMathematical modelPlantarray

Identifiers

PMID38656481

DOI10.3389/fgene.2021.743758

OpenAlexW4395078470

What OpenQuestion holds

Textmetadata

Read underepoch 390

Registered trials

None linked

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.