Genomic Prediction and Genetic Correlation of Agronomic, Blackleg Disease, and Seed Quality Traits in Canola (Brassica napus L.)
Autor: | Denise M. Barbulescu, M. Michelle Malmberg, Philip A. Salisbury, German Spangenberg, Pankaj Maharjan, Joe Panozzo, Hans D. Daetwyler, Surya Kant, Noel O. I. Cogan, Mulusew Fikere, Sally L. Norton |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
0106 biological sciences
0301 basic medicine food.ingredient Blackleg Single-nucleotide polymorphism Plant Science Biology Best linear unbiased prediction canola 01 natural sciences Genetic correlation Article genomic selection 03 medical and health sciences food Gene–environment interaction Canola Ecology Evolution Behavior and Systematics Selection (genetic algorithm) Genetics blackleg disease Ecology grain yield Botany food and beverages Heritability genetic correlation 030104 developmental biology QK1-989 genotype-by-environment interaction fatty acid 010606 plant biology & botany |
Zdroj: | Plants Volume 9 Issue 6 Plants, Vol 9, Iss 719, p 719 (2020) |
ISSN: | 2223-7747 |
DOI: | 10.3390/plants9060719 |
Popis: | 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&ndash 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 oil biosynthesis pathways. Genomic prediction accuracy ranged from 0.29 for emergence count to 0.69 for seed yield. The incorporation of G × E translates into improved prediction accuracy by up to 6%. The genomic prediction accuracies achieved indicate that genomic selection is ready for application in canola breeding. |
Databáze: | OpenAIRE |
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