NIAB - National Institute of Agricultural Botany

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GrassDesign of Experiments website
For creating one and two dimensional incomplete block designs for any number of varieties and replicates.



Runs gene dropping simulations for any supplied pedigree structure and genotype data.


Marker-assisted selection assaysMarker-assisted selection assays
The NIAB online repository for marker-assisted selection assays.




Crop Transformation Services
Specialising in wheat transformation and providing the most efficient wheat transformation pipeline available in Europe.

NIAB MAGIC population resources
Information and files relevant to the NIAB MAGIC elite population

Wheat 90k SNP dataset
This dataset consists of 26,017 SNPs across 480 bread wheat (Triticum aestivum L.) accessions. SNP genotyping was performed using the wheat 90k Illumina iSelect SNP array (Wang et al., 2014. Doi: 10.1111/pbi.12183). Genotypes were predominantly sourced from the UK, France, Germany, and the Netherlands, but also includes accessions from Belgium, Canada, Denmark, Sweden, Switzerland and the USA.

Differentially penalized regression to predict agronomic traits from metabolites and markers. (DiPR)
DiPR is a simple modification to ridge regression which allows two or more sets of variables to be penalized separately. These are the files used to demonstrate its use to predicting field phenotypes by combining marker and metabolite data. Ward et al (2015) Differentially penalized regression to predict agronomic traits from metabolites and markers in wheat. BMC genetics 16.1:19.

TriticeaeGenome association mapping panel
Marker and phenotype data from the TriticeaeGenome panel of 376 elite lines, analysed in Bentley et al. (2014) Applying association mapping and genomic selection to the dissection of key traits in elite European wheat. Theoretical and Applied Genetics 127:2619-2633

Selection of diverse subsets of lines
An R script which uses genetic algorithms to select a subset of lines from a larger collection. The algorithm searches for the subset with either the greatest genetic diversity or which captures the greatest number of alleles. This is a replacement for similar functions previously available in the package PowerMarker. The method is described in: Maximising the potential of multi-parental populations in crop breeding, Ladejobi et al. 2016 (submitted).