# Predictive breeding and marker-assisted selection for grain quality and freezing tolerance in durum wheat

## TL;DR

Researchers improved durum wheat's freezing tolerance and grain quality using genetic analysis and breeding techniques.

## Contribution

A novel breeding pipeline integrating GWAS, genomic prediction, and marker-assisted selection for durum wheat traits.

## Key findings

- Five significant marker-trait associations for freezing tolerance were identified on chromosomes 2A, 2B, 3B, 4A, and 5A.
- A strong MTA on chromosome 5A explained 27% of phenotypic variance for freezing tolerance.
- A multi-trait genomic selection model successfully identified optimal parental lines for freezing tolerance and gluten traits.

## Abstract

Durum wheat, a globally significant crop for high-quality pasta production, remains vulnerable to unseasonal freezing events, a risk that is intensified with climate variability. To address this challenge, we combined genome-wide association studies (GWAS), genomic prediction, and marker-assisted selection to improve both freezing tolerance and grain quality in durum wheat. A panel of 250 diverse accessions, comprising cold-adapted lines from Eastern Europe and high-quality genotypes from Southern Europe, was genotyped using a 25K SNP array. Clear genetic differentiation by geographical origin and growth habit highlighted contrasting allelic patterns for adaptation and quality traits. Phenotypic evaluations were carried out in experimental field trials over two consecutive growing seasons in Italy and Russia to assess the freezing tolerance and quality performance of the genetic materials. GWAS identified five significant marker-trait associations (MTAs) for freezing tolerance on chromosomes 2A, 2B, 3B, 4A, and 5A. Notably, a strong MTA on chromosome 5A (physical position 488.2 Mb) individually explained up to 27% of the phenotypic variance (PVE), co-localizing with the critical Fr-A2 cold-stress regulatory locus. Significant associations for grain-quality traits were localized on a 1B chromosome hotspot (541–652 Mb). A multi-trait genomic selection model integrating freezing tolerance, grain weight, and gluten traits enabled the identification of optimal parental lines, resulting in measurable gains across simulated generations. From the top-ranked crosses, BC2F2 populations were developed and genotyped with KASP markers targeting validated MTAs. Lines carrying favorable alleles for both freezing tolerance and gluten strength were successfully selected, confirming the predictive accuracy of the model. The integration of GWAS, diversity-preserving genomic prediction, and functional marker validation offers a robust and scalable pipeline for breeding cold-resilient, high-quality durum wheat, providing tangible tools to adapt Mediterranean and similar wheat systems to increasing climate variability.