Evidence map›Paper›PMID 31881838›Full record

ArticleBMC genomics2019

Genomic selection for non-key traits in radiata pine when the documented pedigree is corrected using DNA marker information.

Yongjun Li, Jaroslav Klápště, Emily Telfer, Phillip Wilcox, Natalie Graham, Lucy Macdonald, Heidi S Dungey

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.8field-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

16 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. 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

7 authors at 2 institutions in 2 countries.

Yongjun LiScion (New Zealand Forest Research Institute), Private Bag 3020, Rotorua, 3046, New Zealand. Yongjun.Li@agriculture.vic.gov.au.ORCID http://orcid.org/0000-0001-6937-3540
Jaroslav KlápštěScion (New Zealand Forest Research Institute), Private Bag 3020, Rotorua, 3046, New Zealand.
Emily TelferScion (New Zealand Forest Research Institute), Private Bag 3020, Rotorua, 3046, New Zealand.
Phillip WilcoxUniversity of Otago, 362 Leith Steet, North Dunedin, Dunedin, 9016, New Zealand.
Natalie GrahamScion (New Zealand Forest Research Institute), Private Bag 3020, Rotorua, 3046, New Zealand.
Lucy MacdonaldScion (New Zealand Forest Research Institute), Private Bag 3020, Rotorua, 3046, New Zealand.
Heidi S DungeyScion (New Zealand Forest Research Institute), Private Bag 3020, Rotorua, 3046, New Zealand.
Scion · NZUniversity of Otago · NZ

Funding

The Ministry of Business, Innovation and Employment of New Zealand RPBC1301The Radiata Pine Breeding Company NA
6 · The paper itself

Abstract

backgroundNon-key traits (NKTs) in radiata pine (Pinus radiata D. Don) refer to traits other than growth, wood density and stiffness, but still of interest to breeders. Branch-cluster frequency, stem straightness, external resin bleeding and internal checking are examples of such traits and are targeted for improvement in radiata pine research programmes. Genomic selection can be conducted before the performance of selection candidates is available so that generation intervals can be reduced. Radiata pine is a species with a long generation interval, which if reduced could significantly increase genetic gain per unit of time. The aim of this study was to evaluate the accuracy and predictive ability of genomic selection and its efficiency over traditional forward selection in radiata pine for the following NKTs: branch-cluster frequency, stem straightness, internal checking, and external resin bleeding.

resultsNine hundred and eighty-eight individuals were genotyped using exome capture genotyping by sequencing (GBS) and 67,168 single nucleotide polymorphisms (SNPs) used to develop genomic estimated breeding values (GEBVs) with genomic best linear unbiased prediction (GBLUP). The documented pedigree was corrected using a subset of 704 SNPs. The percentage of trio parentage confirmed was about 49% and about 50% of parents were re-assigned. The accuracy of GEBVs was 0.55-0.75 when using the documented pedigree and 0.61-0.80 when using the SNP-corrected pedigree. A higher percentage of additive genetic variance was explained and a higher predictive ability was observed when using the SNP-corrected pedigree than using the documented pedigree. With the documented pedigree, genomic selection was similar to traditional forward selection when assuming a generation interval of 17 years, but worse than traditional forward selection when assuming a generation interval of 14 years. After the pedigree was corrected, genomic selection led to 37-115% and 13-77% additional genetic gain over traditional forward selection when generation intervals of 17 years and 14 years were assumed, respectively.

conclusionIt was concluded that genomic selection with a pedigree corrected by SNP information was an efficient way of improving non-key traits in radiata pine breeding.

Indexed as

Genetic MarkersGenome, PlantGenomicsPedigreeSelection, GeneticGenetic VariationModels, GeneticPinusPlant BreedingPolymorphism, Single NucleotideGenetic MarkersAccuracyGenomic selectionNon-key traitsPedigree correctionPredictive abilityRadiata pine

Identifiers

PMID31881838
PMCPMC6935163
OpenAlexW2998634656

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.