Understanding the Effectiveness of Genomic Prediction in Tetraploid Potato

Use of genomic prediction (GP) in tetraploid is becoming more common. Therefore, we think it is the right time for a comparison of GP models for tetraploid potato. GP models were compared that contrasted shrinkage with variable selection, parametric vs. non-parametric models and different ways of accounting for non-additive genetic effects. As a complement to GP, association studies were carried out in an attempt to understand the differences in prediction accuracy. We compared our GP models on a data set consisting of 147 cultivars, representing worldwide diversity, with over 39 k GBS markers and measurements on four tuber traits collected in six trials at three locations during 2 years. GP accuracies ranged from 0.32 for tuber count to 0.77 for dry matter content. For all traits, differences between GP models that utilised shrinkage penalties and those that performed variable selection were negligible. This was surprising for dry matter, as only a few additive markers explained over 50% of phenotypic variation. Accuracy for tuber count increased from 0.35 to 0.41, when dominance was included in the model. This result is supported by Genome Wide Association Study (GWAS) that found additive and dominance effects accounted for 37% of phenotypic variation, while significant additive effects alone accounted for 14%. For tuber weight, the Reproducing Kernel Hilbert Space (RKHS) model gave a larger improvement in prediction accuracy than explicitly modelling epistatic effects. This is an indication that capturing the between locus epistatic effects of tuber weight can be done more effectively using the semi-parametric RKHS model. Our results show good opportunities for GP in 4x potato.

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Main Authors: Wilson, Stefan, Zheng, Chaozhi, Maliepaard, Chris, Mulder, Han A., Visser, Richard G.F., van der Burgt, Ate, van Eeuwijk, Fred
Format: Article/Letter to editor biblioteca
Language:English
Subjects:genome wide association study, genomic prediction, genotype by sequencing, non-additive effects, tetraploid potato,
Online Access:https://research.wur.nl/en/publications/understanding-the-effectiveness-of-genomic-prediction-in-tetraplo
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spelling dig-wur-nl-wurpubs-5866702024-10-02 Wilson, Stefan Zheng, Chaozhi Maliepaard, Chris Mulder, Han A. Visser, Richard G.F. van der Burgt, Ate van Eeuwijk, Fred Article/Letter to editor Frontiers in Plant Science 12 (2021) ISSN: 1664-462X Understanding the Effectiveness of Genomic Prediction in Tetraploid Potato 2021 Use of genomic prediction (GP) in tetraploid is becoming more common. Therefore, we think it is the right time for a comparison of GP models for tetraploid potato. GP models were compared that contrasted shrinkage with variable selection, parametric vs. non-parametric models and different ways of accounting for non-additive genetic effects. As a complement to GP, association studies were carried out in an attempt to understand the differences in prediction accuracy. We compared our GP models on a data set consisting of 147 cultivars, representing worldwide diversity, with over 39 k GBS markers and measurements on four tuber traits collected in six trials at three locations during 2 years. GP accuracies ranged from 0.32 for tuber count to 0.77 for dry matter content. For all traits, differences between GP models that utilised shrinkage penalties and those that performed variable selection were negligible. This was surprising for dry matter, as only a few additive markers explained over 50% of phenotypic variation. Accuracy for tuber count increased from 0.35 to 0.41, when dominance was included in the model. This result is supported by Genome Wide Association Study (GWAS) that found additive and dominance effects accounted for 37% of phenotypic variation, while significant additive effects alone accounted for 14%. For tuber weight, the Reproducing Kernel Hilbert Space (RKHS) model gave a larger improvement in prediction accuracy than explicitly modelling epistatic effects. This is an indication that capturing the between locus epistatic effects of tuber weight can be done more effectively using the semi-parametric RKHS model. Our results show good opportunities for GP in 4x potato. en application/pdf https://research.wur.nl/en/publications/understanding-the-effectiveness-of-genomic-prediction-in-tetraplo 10.3389/fpls.2021.672417 https://edepot.wur.nl/553404 genome wide association study genomic prediction genotype by sequencing non-additive effects tetraploid potato https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/ Wageningen University & Research
institution WUR NL
collection DSpace
country Países bajos
countrycode NL
component Bibliográfico
access En linea
databasecode dig-wur-nl
tag biblioteca
region Europa del Oeste
libraryname WUR Library Netherlands
language English
topic genome wide association study
genomic prediction
genotype by sequencing
non-additive effects
tetraploid potato
genome wide association study
genomic prediction
genotype by sequencing
non-additive effects
tetraploid potato
spellingShingle genome wide association study
genomic prediction
genotype by sequencing
non-additive effects
tetraploid potato
genome wide association study
genomic prediction
genotype by sequencing
non-additive effects
tetraploid potato
Wilson, Stefan
Zheng, Chaozhi
Maliepaard, Chris
Mulder, Han A.
Visser, Richard G.F.
van der Burgt, Ate
van Eeuwijk, Fred
Understanding the Effectiveness of Genomic Prediction in Tetraploid Potato
description Use of genomic prediction (GP) in tetraploid is becoming more common. Therefore, we think it is the right time for a comparison of GP models for tetraploid potato. GP models were compared that contrasted shrinkage with variable selection, parametric vs. non-parametric models and different ways of accounting for non-additive genetic effects. As a complement to GP, association studies were carried out in an attempt to understand the differences in prediction accuracy. We compared our GP models on a data set consisting of 147 cultivars, representing worldwide diversity, with over 39 k GBS markers and measurements on four tuber traits collected in six trials at three locations during 2 years. GP accuracies ranged from 0.32 for tuber count to 0.77 for dry matter content. For all traits, differences between GP models that utilised shrinkage penalties and those that performed variable selection were negligible. This was surprising for dry matter, as only a few additive markers explained over 50% of phenotypic variation. Accuracy for tuber count increased from 0.35 to 0.41, when dominance was included in the model. This result is supported by Genome Wide Association Study (GWAS) that found additive and dominance effects accounted for 37% of phenotypic variation, while significant additive effects alone accounted for 14%. For tuber weight, the Reproducing Kernel Hilbert Space (RKHS) model gave a larger improvement in prediction accuracy than explicitly modelling epistatic effects. This is an indication that capturing the between locus epistatic effects of tuber weight can be done more effectively using the semi-parametric RKHS model. Our results show good opportunities for GP in 4x potato.
format Article/Letter to editor
topic_facet genome wide association study
genomic prediction
genotype by sequencing
non-additive effects
tetraploid potato
author Wilson, Stefan
Zheng, Chaozhi
Maliepaard, Chris
Mulder, Han A.
Visser, Richard G.F.
van der Burgt, Ate
van Eeuwijk, Fred
author_facet Wilson, Stefan
Zheng, Chaozhi
Maliepaard, Chris
Mulder, Han A.
Visser, Richard G.F.
van der Burgt, Ate
van Eeuwijk, Fred
author_sort Wilson, Stefan
title Understanding the Effectiveness of Genomic Prediction in Tetraploid Potato
title_short Understanding the Effectiveness of Genomic Prediction in Tetraploid Potato
title_full Understanding the Effectiveness of Genomic Prediction in Tetraploid Potato
title_fullStr Understanding the Effectiveness of Genomic Prediction in Tetraploid Potato
title_full_unstemmed Understanding the Effectiveness of Genomic Prediction in Tetraploid Potato
title_sort understanding the effectiveness of genomic prediction in tetraploid potato
url https://research.wur.nl/en/publications/understanding-the-effectiveness-of-genomic-prediction-in-tetraplo
work_keys_str_mv AT wilsonstefan understandingtheeffectivenessofgenomicpredictionintetraploidpotato
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AT visserrichardgf understandingtheeffectivenessofgenomicpredictionintetraploidpotato
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