Evidence map›Paper›PMID 40225354›Full record

ReviewTheScientificWorldJournal2025

Genetic Engineering for Cereal Crop Yield Improvement and Disease Resistant Breeding.

Asaye Demelash Limenie, Mastewal Alehegn

Abstract readReview
In one paragraph

Review in TheScientificWorldJournal, 2025. 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. 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

2 authors.

Asaye Demelash LimenieCollege of Agriculture and Natural Resource, Debre Markos University, Debre Markos, Ethiopia.ORCID https://orcid.org/0000-0002-8050-545X
Mastewal AlehegnCollege of Agriculture and Natural Resource, Debre Markos University, Debre Markos, Ethiopia.ORCID https://orcid.org/0000-0001-5604-6030

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic engineering has revolutionized the field of agriculture, providing innovative solutions to enhance crop productivity and resilience against diseases. Among the various crops, cereals hold a pivotal position in global food security, feeding a significant portion of the world population. Genetic engineering, in cereal crop breeding, has opened new avenues for yield improvement and the development of disease-resistant varieties. Growing population and climate change, traditional breeding methods alone are insufficient to meet the increasing demand for food while ensuring sustainability. Genetic engineering offers a precise and efficient approach to introduce desirable traits into cereal crops, thereby improving yield and reducing the impact of diseases. One of the primary objectives of genetic engineering in cereal crops is to enhance yield potential. This can be achieved by modifying genes associated with key traits such as photosynthetic efficiency, stress tolerance, and nutrient use efficiency. For instance, genetic engineering can be used to increase the efficiency of light capture and conversion into biomass, thereby boosting yield. Disease resistance is another critical area where genetic engineering can make a significant impact. Pathogens and pests pose a constant threat to cereal crops, leading to significant yield losses. Genetic engineering techniques allow the introduction of genes encoding resistance to diseases, such as those from wild relatives or from other organisms. Here, evidence shows that the incorporation of

Indexed as

Crops, AgriculturalDisease ResistanceEdible GrainGenetic EngineeringPlant BreedingPlant DiseasesBacillus thuringiensisPlants, Genetically Modifiedcropdiseasegenetic engineeringresistant breedingyield

Identifiers

PMID40225354
PMCPMC11986181

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.