Evidence map›Paper›PMID 34546416›Full record

ArticlePlanta2021

Physiology and whole-plant carbon partitioning during stem sugar accumulation in sweet dwarf sorghum.

Benjamin A Babst, Abhijit Karve, Anthony Sementilli, Ismail Dweikat, David M Braun

Abstract read
PubMed Publisher
In one paragraph

Article in Planta, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Detecting Rapid Changes in Carbon Transport and Partitioning with Carbon-11 (Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  2. Article
  3. Article
  4. 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

5 authors.

Benjamin A BabstBiological, Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, NY, 11973-5000, USA. babst@uamont.edu.ORCID http://orcid.org/0000-0001-5657-0633
Abhijit KarveBiological, Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, NY, 11973-5000, USA.
Anthony SementilliBiological, Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, NY, 11973-5000, USA.
Ismail DweikatDepartment of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, 68583-0915, USA.
David M BraunDivisions of Plant and Biological Sciences, University of Missouri, Columbia, MO, 65211, USA.

Funding

Biological and Environmental Research DE-AC02-98CH10886Biological and Environmental Research DE-SC0006810Brookhaven National Laboratory Goldhaber Distinguished FellowshipDivision of Integrative Organismal Systems IOS-1025976National Institute of Food and Agriculture McEntire-Stennis project number 1009319
6 · The paper itself

Abstract

MAIN

conclusionA greater rate of phloem unloading and storage in the stem, not a higher rate of sugar production by photosynthesis or sugar export from leaves, is the main factor that results in sugar accumulation in sweet dwarf sorghum compared to grain sorghum. At maturity, the stem internodes of sweet sorghum varieties accumulate high concentrations of fermentable sugars and represent an efficient feedstock for bioethanol production. Although stem sugar accumulation is a heritable trait, additional factors that drive sugar accumulation in sorghum have not been identified. To identify the constraints on stem sugar accumulation in sweet sorghum, we used a combination of carbon-11 (

Indexed as

SorghumCarbonGene Expression Regulation, PlantPlant ProteinsSugarsCarbonPlant ProteinsSugarsCarbon-11 partitioningPhloem unloadingSucrose accumulationSweet sorghum

Identifiers

PMID34546416

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.