Evidence map›Paper›PMID 31227781›Full record

ArticleScientific reports2019

Marker-trait associations and genomic predictions of interspecific pear (Pyrus) fruit characteristics.

Satish Kumar, Chris Kirk, Cecilia Hong Deng, Angela Shirtliff, Claudia Wiedow, Mengfan Qin, Jun Wu, Lester Brewer

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. 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
4.4field-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

24 citing papers in PubMed, 34 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Genomic selection for crop improvement in fruits and vegetables: a systematic scoping review.Molecular breeding : new strategies in plant improvement · 2024
    Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

8 authors at 2 institutions in 2 countries.

Satish KumarThe New Zealand Institute for Plant and Food Research Limited, Hawke's Bay Research Centre, Havelock North, New Zealand. satish.kumar@plantandfood.co.nz.
Chris KirkThe New Zealand Institute for Plant and Food Research Limited, Palmerston North Research Centre, Palmerston North, New Zealand.
Cecilia Hong DengThe New Zealand Institute for Plant and Food Research Limited, Mount Albert Research Centre, Auckland, New Zealand.ORCID http://orcid.org/0000-0002-2954-762X
Angela ShirtliffThe New Zealand Institute for Plant and Food Research Limited, Motueka Research Centre, Motueka, New Zealand.
Claudia WiedowThe New Zealand Institute for Plant and Food Research Limited, Palmerston North Research Centre, Palmerston North, New Zealand.
Mengfan QinCentre of Pear Engineering Technology Research, Nanjing Agricultural University, Nanjing, 210095, China.
Jun WuCentre of Pear Engineering Technology Research, Nanjing Agricultural University, Nanjing, 210095, China.
Lester BrewerThe New Zealand Institute for Plant and Food Research Limited, Motueka Research Centre, Motueka, New Zealand.
Plant & Food Research · NZNanjing Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interspecific pear (Pyrus spp.) hybrid populations are often used to develop novel cultivars. Pear cultivar breeding is a lengthy process because of long juvenility and the subsequent time required for reliable fruit phenotyping. Molecular techniques such as genome-wide association (GWA) and genomic selection (GS) provide an opportunity to fast-forward the development of high-value cultivars. We evaluated the genetic architecture of 10 pear fruit phenotypes (including sensory traits) and the potential of GS using genotyping-by-sequencing of 550 hybrid seedlings from nine interrelated full-sib families. Results from GWA suggested a complex polygenic nature of all 10 traits as the maximum variance explained by each marker was less than 4% of the phenotypic variance. The effect-size of SNPs for each trait suggested many genes of small effect and few of moderate effect. Some genomic regions associated with pear sensory traits were similar to those reported for apple - possibly a result of high synteny between the apple and pear genomes. The average (across nine families) GS accuracy varied from 0.32 (for crispness) to 0.62 (for sweetness), with an across-trait average of 0.42. Further efforts are needed to develop larger genotype-phenotype datasets in order to predict fruit phenotypes of untested seedlings with sufficient efficiency.

Indexed as

Genetic MarkersGenome, PlantGenome-Wide Association StudyPolymorphism, Single NucleotidePyrusGenetic Markers

Identifiers

PMID31227781
PMCPMC6588632
OpenAlexW2950324330

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.