The Triticeae Toolbox

The Triticeae Toolbox (T3) webportal hosts data generated by the Triticeae Coordinated Agricultural Project (CAP), funded by the National Institute for Food and Agriculture (NIFA) of the United States Department of Agriculture (USDA). T3 contains SNP, phenotypic, and pedigree data from wheat and barley germplasm in the Triticeae CAP integrating rapidly expanding DNA marker and sequence data with traditional phenotypic data.

Ag Data Commons

Data from: Estimation of genetic parameters and their sampling variances for quantitative traits in the type 2 modified augmented design

The type 2 modified augmented design (MAD2) is an efficient unreplicated experimental design used for evaluating large numbers of lines in plant breeding and for assessing genetic variation in a population. Statistical methods and data adjustment for soil heterogeneity have been previously described for this design. In the absence of replicated test genotypes in MAD2, their total variance cannot be partitioned into genetic and error components as required to estimate heritability and genetic correlation of quantitative traits, the two conventional genetic parameters used for breeding selection. We propose a method of estimating the error variance of unreplicated genotypes that uses replicated controls, and then of estimating the genetic parameters. Using the Delta method, we also derived formulas for estimating the sampling variances of the genetic parameters. Computer simulations indicated that the proposed method for estimating genetic parameters and their sampling variances was feasible and the reliability of the estimates was positively associated with the level of heritability of the trait. A case study of estimating the genetic parameters of three quantitative traits, iodine value, oil content, and linolenic acid content, in a biparental recombinant inbred line population of flax with 243 individuals, was conducted using our statistical models. A joint analysis of data over multiple years and sites was suggested for genetic parameter estimation. A pipeline module using SAS and Perl was developed to facilitate data analysis and appended to the previously developed MAD data analysis pipeline (http://probes.pw.usda.gov/bioinformatics_tools/MADPipeline/index.html).

Genomics and Genetics

Data from: The Majority of Genotypes of the Virulence Gene inlA Are Intact among Natural Watershed Isolates of Listeria monocytogenes from the Central California Coast

Internalin A is an essential virulence gene involved in the uptake of the foodborne pathogen Listeria monocytogenes into host cells. It is intact in clinical strains and often truncated due to Premature Stop Codons (PMSCs) in isolates from processed foods and processing facilities. Less information is known about environmental isolates. We sequenced the inlA alleles and did Multi Locus Variable Number Tandem Repeat Analysis (MLVA) on 112 L. monocytogenes isolates from a 3-year period from naturally contaminated watersheds near a leafy green growing area in Central California.

Genomics and Genetics

SNP Genotyping Data from the Barley Experimental Population from "Two Genomic Regions Contribute Disproportionately to Geographic Differentiation in Wild Barley"

The 318 sampled wild barley accensions, known as the Wild Barley Diversity Collection (WBDC), were genotyped using the Illumina Golden Gate Genotyping Assay with two Barley Oligo Pool assay chips (BOPA1 and BOPA2). The genotype calls were based on machine-scored data using the program ALCHEMY and the SNPs were annotated using the program SNPMeta. The BOPA1 & 2 files contains the output of the ALCHEMY program.

barley image