Evidence map›Paper›PMID 29696027›Full record

ReviewFrontiers in plant science2018

Genomics-Enabled Next-Generation Breeding Approaches for Developing System-Specific Drought Tolerant Hybrids in Maize.

Thirunavukkarsau Nepolean, Jyoti Kaul, Ganapati Mukri, Shikha Mittal

Abstract readReview
In one paragraph

Review in Frontiers in plant science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
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  4. The speed breeding technology of five generations per year in cotton.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  5. Review
  6. Article
  7. Article
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  10. Mining genes regulating root system architecture in maize based on data integration analysis.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  11. Article
  12. Review
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  16. CRISPR-Cas technology in corn: a new key to unlock genetic knowledge and create novel products.Molecular breeding : new strategies in plant improvement · 2021
    Article
  17. Review
  18. Review
  19. Review
  20. 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.

Thirunavukkarsau NepoleanMaize Research Lab, Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Jyoti KaulMaize Research Lab, Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Ganapati MukriMaize Research Lab, Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Shikha MittalMaize Research Lab, Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breeding science has immensely contributed to the global food security. Several varieties and hybrids in different food crops including maize have been released through conventional breeding. The ever growing population, decreasing agricultural land, lowering water table, changing climate, and other variables pose tremendous challenge to the researchers to improve the production and productivity of food crops. Drought is one of the major problems to sustain and improve the productivity of food crops including maize in tropical and subtropical production systems. With advent of novel genomics and breeding tools, the way of doing breeding has been tremendously changed in the last two decades. Drought tolerance is a combination of several component traits with a quantitative mode of inheritance. Rapid DNA and RNA sequencing tools and high-throughput SNP genotyping techniques, trait mapping, functional characterization, genomic selection, rapid generation advancement, and other tools are now available to understand the genetics of drought tolerance and to accelerate the breeding cycle. Informatics play complementary role by managing the big-data generated from the large-scale genomics and breeding experiments. Genome editing is the latest technique to alter specific genes to improve the trait expression. Integration of novel genomics, next-generation breeding, and informatics tools will accelerate the stress breeding process and increase the genetic gain under different production systems.

Indexed as

accelerated line breedingbig databreeding informaticsdroughtgenomicsmaizenext-generation breedingrainfed

Identifiers

PMID29696027
PMCPMC5905169

What OpenQuestion 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 OpenQuestion graph.