Evidence map›Paper›PMID 24686131›Full record

ArticlePlant signaling & behavior2014

Genetic engineering of crops: a ray of hope for enhanced food security.

Sarvajeet Singh Gill, Ritu Gill, Renu Tuteja, Narendra Tuteja

Abstract read
In one paragraph

Article in Plant signaling & behavior, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Establishment of a Novel and EfficientPlants (Basel, Switzerland) · 2021
    Article
  2. Article
  3. Physiology and molecular biology of plants : an international journal of functional plant biology · 2020
    Article
  4. Review
  5. Simultaneous Expression ofFrontiers in plant science · 2017
    Article
  6. Review
  7. 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

4 authors.

Sarvajeet Singh GillCentre for Biotechnology; MD University; Rohtak, India.
Ritu GillCentre for Biotechnology; MD University; Rohtak, India.
Renu TutejaInternational Centre for Genetic Engineering and Biotechnology; Aruna Asaf Ali Marg; New Delhi, India.
Narendra TutejaInternational Centre for Genetic Engineering and Biotechnology; Aruna Asaf Ali Marg; New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crop improvement has been a basic and essential chase since organized cultivation of crops began thousands of years ago. Abiotic stresses as a whole are regarded as the crucial factors restricting the plant species to reach their full genetic potential to deliver desired productivity. The changing global climatic conditions are making them worse and pointing toward food insecurity. Agriculture biotechnology or genetic engineering has allowed us to look into and understand the complex nature of abiotic stresses and measures to improve the crop productivity under adverse conditions. Various candidate genes have been identified and transformed in model plants as well as agriculturally important crop plants to develop abiotic stress-tolerant plants for crop improvement. The views presented here are an attempt toward realizing the potential of genetic engineering for improving crops to better tolerate abiotic stresses in the era of climate change, which is now essential for global food security. There is great urgency in speeding up crop improvement programs that can use modern biotechnological tools in addition to current breeding practices for providing enhanced food security.

Indexed as

Food SupplyGenetic EngineeringCrops, Agriculturalabiotic stressesagriculture biotechnologycrop improvementfood securitygenetic engineering

Identifiers

PMID24686131
PMCPMC4091186

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.