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White Lupin Adaptation to Moderately Calcareous Soils: Phenotypic Variation and Genome-Enabled Prediction
Date Issued
2023-03-02
Date Available
2024-11-12T16:43:20Z
Abstract
White lupin is a promising high-protein crop, the cultivation of which is limited by a lack of adaptation to soils that are even just mildly calcareous. This study aimed to assess the phenotypic variation, the trait architecture based on a GWAS, and the predictive ability of genome-enabled models for grain yield and contributing traits of a genetically-broad population of 140 lines grown in an autumn-sown environment of Greece (Larissa) and a spring-sown environment of the Netherlands (Ens) that featured moderately calcareous and alkaline soils. We found large genotype × environment interaction and modest or nil genetic correlation for line responses across locations for grain yield, a lime susceptibility score, and other traits, with the exception of individual seed weight and plant height. The GWAS identified significant SNP markers associated with various traits that were markedly inconsistent across locations, while providing direct or indirect evidence for widespread polygenic trait control. Genomic selection proved to be a feasible strategy, owing to a moderate predictive ability for yield and lime susceptibility in Larissa (the site featuring greater lime soil stress). Other supporting results for breeding programs where the identification of a candidate gene for lime tolerance and the high reliability of genome-enabled predictions for individual seed weight.
Sponsorship
European Commission Horizon 2020
Other Sponsorship
Ministry of Agricultural, Food and Forestry Policies of Italy
Type of Material
Journal Article
Publisher
MDPI
Journal
Plants
Volume
12
Issue
5
Start Page
1
End Page
18
Copyright (Published Version)
2023 The Authors
Language
English
Status of Item
Peer reviewed
ISSN
2223-7747
This item is made available under a Creative Commons License
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Name
White Lupin Adaptation to Moderately Calcareous Soils Phenotypic Variation and Genome-Enabled Prediction.pdf
Size
2.08 MB
Format
Adobe PDF
Checksum (MD5)
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