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| Main Authors: | , , , , , |
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| Format: | Artículo científico |
| Language: | en |
| Published: |
Evolutionary applications
2025
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| Online Access: | https://pubmed.ncbi.nlm.nih.gov/41158441/ |
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| _version_ | 1868266132963590146 |
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| author | Beck, Samantha V May, Samuel A Kess, Tony Bradbury, Ian R Lozada-Soto, Emmanuel A Wellenreuther, Maren |
| author_facet | Beck, Samantha V May, Samuel A Kess, Tony Bradbury, Ian R Lozada-Soto, Emmanuel A Wellenreuther, Maren Beck, Samantha V May, Samuel A Kess, Tony Bradbury, Ian R Lozada-Soto, Emmanuel A Wellenreuther, Maren |
| collection | PubMed - marine biology |
| contents | Applying Genomic Offsets to Breeding Programmes: Bridging Evolutionary Insights With Practical Applications. Beck, Samantha V May, Samuel A Kess, Tony Bradbury, Ian R Lozada-Soto, Emmanuel A Wellenreuther, Maren As global temperatures rise and become more variable, the capacity of domestic species to adapt, while maintaining production efficiency, is becoming a pressing concern. In this context, genotype-by-environment (GxE) interactions pose a significant challenge for selective breeding, as traits that perform well in one environment may not in another. These interactions complicate the design of breeding programmes that aim to ensure long-term resilience while optimising short-term productivity. Genomic Offsets-a metric that can quantify the mismatch between current and future genotype-environment associations, predicting potential genetic mismatch to environmental change-may offer a promising solution. In this perspective piece, we explore potential applications of genomic offsets in agriculture and aquaculture, including their use as tools for risk assessment, selective breeding and cryopreservation. We discuss how genomic offsets can overcome hurdles posed by GxE interactions, addressing practical considerations such as data requirements and methodological frameworks, and needed validation efforts. By predicting genetic mismatches and guiding the selection of individuals best suited for changing environmental conditions, our proposed may help breeders proactively enhance the resilience of farmed populations. |
| format | Artículo científico |
| id | pubmed_41158441 |
| institution | PubMed |
| language | en |
| publishDate | 2025 |
| publisher | Evolutionary applications |
| record_format | pubmed |
| spellingShingle | Applying Genomic Offsets to Breeding Programmes: Bridging Evolutionary Insights With Practical Applications. Beck, Samantha V May, Samuel A Kess, Tony Bradbury, Ian R Lozada-Soto, Emmanuel A Wellenreuther, Maren Applying Genomic Offsets to Breeding Programmes: Bridging Evolutionary Insights With Practical Applications. Beck, Samantha V May, Samuel A Kess, Tony Bradbury, Ian R Lozada-Soto, Emmanuel A Wellenreuther, Maren As global temperatures rise and become more variable, the capacity of domestic species to adapt, while maintaining production efficiency, is becoming a pressing concern. In this context, genotype-by-environment (GxE) interactions pose a significant challenge for selective breeding, as traits that perform well in one environment may not in another. These interactions complicate the design of breeding programmes that aim to ensure long-term resilience while optimising short-term productivity. Genomic Offsets-a metric that can quantify the mismatch between current and future genotype-environment associations, predicting potential genetic mismatch to environmental change-may offer a promising solution. In this perspective piece, we explore potential applications of genomic offsets in agriculture and aquaculture, including their use as tools for risk assessment, selective breeding and cryopreservation. We discuss how genomic offsets can overcome hurdles posed by GxE interactions, addressing practical considerations such as data requirements and methodological frameworks, and needed validation efforts. By predicting genetic mismatches and guiding the selection of individuals best suited for changing environmental conditions, our proposed may help breeders proactively enhance the resilience of farmed populations. |
| title | Applying Genomic Offsets to Breeding Programmes: Bridging Evolutionary Insights With Practical Applications. |
| url | https://pubmed.ncbi.nlm.nih.gov/41158441/ |