Evidence map›Paper›PMID 37653871›Full record

ReviewPlants (Basel, Switzerland)2023

Unveiling the Mysteries of Non-Mendelian Heredity in Plant Breeding.

Mohsen Yoosefzadeh Najafabadi, Mohsen Hesami, Istvan Rajcan

Open access · goldAbstract readReview
In one paragraph

Review in Plants (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.1field-weighted citation impact, top 6% of its field
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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Naturally Occurring Triploidy in Cannabis.Plants (Basel, Switzerland) · 2023
    Article
  10. 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

3 authors at 1 institution in 1 country.

Mohsen Yoosefzadeh NajafabadiDepartment of Plant Agriculture, University of Guelph, Guelph, ON N1G 2W1, Canada.ORCID 0000-0003-3631-4493
Mohsen HesamiDepartment of Plant Agriculture, University of Guelph, Guelph, ON N1G 2W1, Canada.ORCID 0000-0001-5289-1835
Istvan RajcanDepartment of Plant Agriculture, University of Guelph, Guelph, ON N1G 2W1, Canada.ORCID 0000-0001-5156-2482
University of Guelph · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mendelian heredity is the cornerstone of plant breeding and has been used to develop new varieties of plants since the 19th century. However, there are several breeding cases, such as cytoplasmic inheritance, methylation, epigenetics, hybrid vigor, and loss of heterozygosity (LOH), where Mendelian heredity is not applicable, known as non-Mendelian heredity. This type of inheritance can be influenced by several factors besides the genetic architecture of the plant and its breeding potential. Therefore, exploring various non-Mendelian heredity mechanisms, their prevalence in plants, and the implications for plant breeding is of paramount importance to accelerate the pace of crop improvement. In this review, we examine the current understanding of non-Mendelian heredity in plants, including the mechanisms, inheritance patterns, and applications in plant breeding, provide an overview of the various forms of non-Mendelian inheritance (including epigenetic inheritance, cytoplasmic inheritance, hybrid vigor, and LOH), explore insight into the implications of non-Mendelian heredity in plant breeding, and the potential it holds for future research.

Indexed as

Beavis effectchromosomal rearrangementscytoplasmic inheritanceepigeneticshybridizationloss of heterozygositypolyploidy

Identifiers

PMID37653871
PMCPMC10221147
OpenAlexW4376137375

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.