Genomic Prediction and Genetic Correlation of Agronomic, Blackleg Disease, and Seed Quality Traits in Canola (Brassica napus L.)

Plants
Mulusew FikereHans D Daetwyler

Abstract

Genomic selection accelerates genetic progress in crop breeding through the prediction of future phenotypes of selection candidates based on only their genomic information. Here we report genetic correlations and genomic prediction accuracies in 22 agronomic, disease, and seed quality traits measured across multiple years (2015-2017) in replicated trials under rain-fed and irrigated conditions in Victoria, Australia. Two hundred and two spring canola lines were genotyped for 62,082 Single Nucleotide Polymorphisms (SNPs) using transcriptomic genotype-by-sequencing (GBSt). Traits were evaluated in single trait and bivariate genomic best linear unbiased prediction (GBLUP) models and cross-validation. GBLUP were also expanded to include genotype-by-environment G × E interactions. Genomic heritability varied from 0.31to 0.66. Genetic correlations were highly positive within traits across locations and years. Oil content was positively correlated with most agronomic traits. Strong, not previously documented, negative correlations were observed between average internal infection (a measure of blackleg disease) and arachidic and stearic acids. The genetic correlations between fatty acid traits followed the expected patterns based on oi...Continue Reading

References

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Citations

Mar 9, 2021·Frontiers in Genetics·Nur Shuhadah Mohd SaadJacqueline Batley
Jun 10, 2021·TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·Junrey AmasJacqueline Batley

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Methods Mentioned

BETA
imaging technology
infrared spectroscopy

Software Mentioned

Skim
AGROBASE
BEAGLE
ASReml
GBLUP

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