Evidence map›Paper›PMID 36966541›Full record

ArticlePlant signaling & behavior2023

Drought resistance evaluation of sugar beet germplasms by response of phenotypic indicators.

Wenbo Tan, Wangsheng Li, Jiajia Li, Dali Liu, Wang Xing

Full text read
In one paragraph

Article in Plant signaling & behavior, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. 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.

Wenbo TanNational Beet Medium-term Gene Bank, Heilongjiang University, Harbin, P. R. China.
Wangsheng LiNational Beet Medium-term Gene Bank, Heilongjiang University, Harbin, P. R. China.
Jiajia LiNational Beet Medium-term Gene Bank, Heilongjiang University, Harbin, P. R. China.
Dali LiuNational Beet Medium-term Gene Bank, Heilongjiang University, Harbin, P. R. China.
Wang XingNational Beet Medium-term Gene Bank, Heilongjiang University, Harbin, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sugar beet is a main sugar crop worldwide that often faces drought stress. The identification of drought tolerance of sugar beet germplasms is beneficial for breeding, but the research about it has been rarely reported. In this study, the drought tolerance of germplasms 92005-1, 94002-2 and 92021-1-1 was tested under simulated conditions. Seven days and 9% PEG treatment were the optimal conditions for evaluation, under which more phenotypic indicators showed significant difference in drought tolerance coefficient. The objective weighting and membership function method were established for evaluating the drought tolerance of different sugar beet germplasms. Drought stress decreased the biomass of leaves and roots of sugar beet germplasms. The drought-sensitive germplasm responded faster for leaf weight, root weight, plant height and root length. These indicators declined more significantly under long-term and severe stress. Increasing the root-shoot ratio and proline content were universal strategies of sugar beet germplasms to overcome drought stress. The drought-tolerant germplasms held higher peroxidase activity and better ability to scavenge reactive oxygen for preventing the damage.

Indexed as

Beta vulgarisDrought ResistanceAntioxidantsDroughtsAntioxidantsdrought tolerance evaluationphenotypic indicatorsresponsesugar beet germplasms

Identifiers

PMID36966541
PMCPMC10044154

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read40
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.