Wheat Allele Introgression into Barbed Goatgrass Populations in Southern Spain

458 specimens of the wild wheat relative Aegilops triuncialis from 31 populations in a 60 km x 20 km area in Southern Spain were genotyped to estimate wheat admixture levels. The data, generated by Mila Pajkovic and published in 2020, includes results from Approximate Bayesian Computation modeling to estimate selfing rates and the magnitude and tempo of wheat allele introgression.

Use Cases

• Estimate wheat admixture levels in Ae. triuncialis populations using genotyped specimens to model crop-to-wild gene flow.
• Model the selfing rate and introgression magnitude of wheat alleles into wild populations using Approximate Bayesian Computation results.
• Analyze the geographic distance of wheat allele spread across 31 Ae. triuncialis populations in the Grazalema Mountain chain.

Strengths

• Data is based on an extensive survey of 458 specimens from 31 distinct populations.
• The study area covers a specific 60 km x 20 km region in Southern Spain, providing geographic context.
• Includes explicit modeling results, such as a calculated selfing rate of 97% for Ae. triuncialis.

Limitations

• The dataset size and specific file formats are unknown, limiting assessment of its scale and structure.
• The data is from a single geographic region (Southern Spain), which may not represent introgression patterns in other areas.
• No column names or sample data are provided, making it difficult to understand the exact data structure without downloading.

Provenance

Source

Dryad digital repository.

Collection Method

Specimens were genotyped with amplified fragment length polymorphism (AFLP); modeling used Approximate Bayesian Computation.

Freshness

Last updated in June 2020.

Geography

Grazalema Mountain chain, Andalusia, Southern Spain (60 km x 20 km area).