Evidence map›Paper›PMID 34783908›Full record

ArticleEnvironmental monitoring and assessment2021

Response of rice (Oryza sativa L.) cultivars to elevated ozone stress.

Ambikapathi Ramya, Periyasamy Dhevagi, Sengottiyan Priyatharshini, R Saraswathi, S Avudainayagam, S Venkataramani

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental monitoring and assessment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

6 authors.

Ambikapathi RamyaDepartment of Environmental Sciences, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, 641003, India.
Periyasamy DhevagiDepartment of Environmental Sciences, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, 641003, India. devagisivaraj@gmail.com.ORCID http://orcid.org/0000-0001-9212-0242
Sengottiyan PriyatharshiniDepartment of Crop Management, Vanavarayar Institute of Agriculture, Tamil Nadu, Pollachi, 642103, India.
R SaraswathiDepartment of Rice, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, 641003, India.
S AvudainayagamDhanalakshmi Srinivasan Agriculture College, Perambalur, Tamil Nadu, 621 212, India.
S VenkataramaniSpace and Atmospheric Sciences Division, Physical Research Laboratory, Ahmedabad, Gujarat, 380009, India.

Funding

indian space research organisation Geosphere Biosphere Programme (GBP) under Atmospheric Trace gases Chemistry Transport Modeling (ATCTM) Scheme
6 · The paper itself

Abstract

The plant response to elevated ozone stress reveals inter-species and intra-species disparity. Ozone-induced crop yield loss is predicted to increase in the future, posing a threat to the world economy. This study aims to evaluate the cultivar specific variation in rice exposed to elevated ozone. Fifteen short-duration rice cultivars were exposed to 50 ppb ozone for 30 days at reproductive stage. The physiological, biochemical, growth and yield traits of all test cultivars were significantly affected in response to elevated ozone. On an average, ozone stress decreased the tiller number by 22.52%, number of effective tillers by 30.43%, 1000 grain weight by 0.62% and straw weight by 23.83% over control. Spikelet sterility increased by 19.26% and linear multiregression 3D model significantly fits the spikelet sterility and photosynthetic traits with the R

Indexed as

OryzaOzoneEdible GrainEnvironmental MonitoringPlant BreedingOzoneElevated ozonePlant responsePrincipal component analysisRice cultivars

Identifiers

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.