Genomic selection for non-key traits in radiata pine when the documented pedigree is corrected using DNA marker information
Abstract Background Non-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 an...
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doaj-b254e37ef1244b35b0a413339419693c2020-12-27T12:08:43ZengBMCBMC Genomics1471-21642019-12-0120111010.1186/s12864-019-6420-8Genomic selection for non-key traits in radiata pine when the documented pedigree is corrected using DNA marker informationYongjun Li0Jaroslav Klápště1Emily Telfer2Phillip Wilcox3Natalie Graham4Lucy Macdonald5Heidi S. Dungey6Scion (New Zealand Forest Research Institute)Scion (New Zealand Forest Research Institute)Scion (New Zealand Forest Research Institute)University of OtagoScion (New Zealand Forest Research Institute)Scion (New Zealand Forest Research Institute)Scion (New Zealand Forest Research Institute)Abstract Background Non-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. Results Nine 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. Conclusion It 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.https://doi.org/10.1186/s12864-019-6420-8Genomic selectionNon-key traitsRadiata pinePedigree correctionAccuracyPredictive ability |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yongjun Li Jaroslav Klápště Emily Telfer Phillip Wilcox Natalie Graham Lucy Macdonald Heidi S. Dungey |
spellingShingle |
Yongjun Li Jaroslav Klápště Emily Telfer Phillip Wilcox Natalie Graham Lucy Macdonald Heidi S. Dungey Genomic selection for non-key traits in radiata pine when the documented pedigree is corrected using DNA marker information BMC Genomics Genomic selection Non-key traits Radiata pine Pedigree correction Accuracy Predictive ability |
author_facet |
Yongjun Li Jaroslav Klápště Emily Telfer Phillip Wilcox Natalie Graham Lucy Macdonald Heidi S. Dungey |
author_sort |
Yongjun Li |
title |
Genomic selection for non-key traits in radiata pine when the documented pedigree is corrected using DNA marker information |
title_short |
Genomic selection for non-key traits in radiata pine when the documented pedigree is corrected using DNA marker information |
title_full |
Genomic selection for non-key traits in radiata pine when the documented pedigree is corrected using DNA marker information |
title_fullStr |
Genomic selection for non-key traits in radiata pine when the documented pedigree is corrected using DNA marker information |
title_full_unstemmed |
Genomic selection for non-key traits in radiata pine when the documented pedigree is corrected using DNA marker information |
title_sort |
genomic selection for non-key traits in radiata pine when the documented pedigree is corrected using dna marker information |
publisher |
BMC |
series |
BMC Genomics |
issn |
1471-2164 |
publishDate |
2019-12-01 |
description |
Abstract Background Non-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. Results Nine 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. Conclusion It 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. |
topic |
Genomic selection Non-key traits Radiata pine Pedigree correction Accuracy Predictive ability |
url |
https://doi.org/10.1186/s12864-019-6420-8 |
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