Evidence map›Paper›PMID 32377039›Full record

ReviewPhysiology and molecular biology of plants : an international journal of functional plant biology2020

Marker-assisted selection for grain number and yield-related traits of rice (

Gayatri Gouda, Manoj Kumar Gupta, Ravindra Donde, Trilochan Mohapatra, Ramakrishna Vadde, Lambodar Behera

Abstract readReview
In one paragraph

Review in Physiology and molecular biology of plants : an international journal of functional plant biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Genome-wide association study reveals genetic loci for seed density per silique in rapeseed (Brassica napus L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Rapid Visual Detection of Elite Erect PanicleCurrent issues in molecular biology · 2024
    Article
  11. Identifcation and fine mapping ofFrontiers in plant science · 2024
    Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. 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.

Gayatri Gouda1ICAR-National Rice Research Institute, Cuttack, Odisha 753 006 India.
Manoj Kumar Gupta *2Department of Biotechnology and Bioinformatics, Yogi Vemana University, Kadapa, Andhra Pradesh 516 005 India.
Ravindra Donde *1ICAR-National Rice Research Institute, Cuttack, Odisha 753 006 India.
Trilochan Mohapatra3Secretary (DARE) and Director General (ICAR), Government of India, New Delhi, India.
Ramakrishna Vadde2Department of Biotechnology and Bioinformatics, Yogi Vemana University, Kadapa, Andhra Pradesh 516 005 India.
Lambodar Behera1ICAR-National Rice Research Institute, Cuttack, Odisha 753 006 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Continuous rise in the human population has resulted in an upsurge in food demand, which in turn demand grain yield enhancement of cereal crops, including rice. Rice yield is estimated via the number of tillers, grain number per panicles, and the number of spikes present per panicle. Marker-assisted selection (MAS) serve as one of the best ways to introduce QTLs/gene associated with yield in the rice plant. MAS has also been employed effectively in dissecting several other complex agricultural traits, for instance, drought, cold tolerance, salinity, etc. in rice plants. Thus, in this review, authors attempted to collect information about various genes/QTLs associated with high yield, including grain number, in rice and how different scheme of MAS can be employed to introduce them in rice (

Indexed as

Gene pyramidingGrain yieldMarker-assisted backcrossMarker-assisted selectionQTLs mapping for grain yieldRice

Identifiers

PMID32377039
PMCPMC7196572

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.