Evidence map›Paper›PMID 32727362›Full record

ArticleBMC genomics2020

Identification and characterization of QTLs for fruit quality traits in peach through a multi-family approach.

Zena J Rawandoozi, Timothy P Hartmann, Silvia Carpenedo, Ksenija Gasic, Cassia da Silva Linge, Lichun Cai, Eric Van de Weg, David H Byrne

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
6.5field-weighted citation impact, top 4% 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

26 citing papers in PubMed, 48 citations in OpenAlex.

  1. Genetic and Cyto-Histological Analyses inInternational journal of molecular sciences · 2025
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  5. Genetic architecture of key traits forHorticulture research · 2025
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  8. Review
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  10. Horticulture research · 2024
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  11. Article
  12. Article
  13. Marker-Assisted Selection in Breeding for Fruit Trait Improvement: A Review.International journal of molecular sciences · 2023
    Review
  14. Article
  15. Article
  16. Article
  17. Article
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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 5 institutions in 3 countries.

Zena J RawandooziDepartment of Horticultural Sciences, Texas A&M University, College Station, TX, 77843, USA. zjmansur@tamu.edu.ORCID http://orcid.org/0000-0002-4909-4293
Timothy P HartmannDepartment of Horticultural Sciences, Texas A&M University, College Station, TX, 77843, USA.
Silvia CarpenedoEmbrapa Clima Temperado, BR-392, km 78, Cx. Postal 403, Pelotas, Rio Grande do Sul, 96010-971, Brazil.
Ksenija GasicDepartment of Agricultural and Environmental Sciences, College of Agriculture, Forestry and Life Sciences, Clemson University, Clemson, SC, 29634, USA.
Cassia da Silva LingeDepartment of Agricultural and Environmental Sciences, College of Agriculture, Forestry and Life Sciences, Clemson University, Clemson, SC, 29634, USA.
Lichun CaiDepartment of Horticulture, Michigan State University, East Lansing, MI, 48824, USA.
Eric Van de WegDepartment of Plant Breeding, Wageningen University & Research, Wageningen, Netherlands.
David H ByrneDepartment of Horticultural Sciences, Texas A&M University, College Station, TX, 77843, USA.
Texas A&M University · USClemson University · USBrazilian Agricultural Research Corporation · BRMichigan State University · USWageningen University & Research · NL

Funding

National Institute of Food and Agriculture 2009-51181-05808
6 · The paper itself

Abstract

backgroundFruit quality traits have a significant effect on consumer acceptance and subsequently on peach (Prunus persica (L.) Batsch) consumption. Determining the genetic bases of key fruit quality traits is essential for the industry to improve fruit quality and increase consumption. Pedigree-based analysis across multiple peach pedigrees can identify the genomic basis of complex traits for direct implementation in marker-assisted selection. This strategy provides breeders with better-informed decisions and improves selection efficiency and, subsequently, saves resources and time.

resultsPhenotypic data of seven F

conclusionsA multi-family-based QTL discovery approach enhanced the ability to discover a new TA QTL at the distal end of LG5 and validated other QTLs which were reported in previous studies. Haplotype characterization of the mapped QTLs distinguishes this work from the previous QTL studies. Identified predictive SNPs and their original sources will facilitate the selection of parents and/or seedlings that have desired QTL alleles. Our findings will help peach breeders develop new predictive, DNA-based molecular marker tests for routine use in marker-assisted breeding.

Indexed as

Prunus persicaChromosome MappingFruitHumansPlant BreedingPolymorphism, Single NucleotideQuantitative Trait LociBlushFlexQTLHaplotypePeach QTLPedigree-based analysisSoluble solids concentrationTitratable acidity

Identifiers

PMID32727362
PMCPMC7392839
OpenAlexW3046060575

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.