Showing results for: [ wheat ]
Discovery proteomics data and quantitative proteomics data acquired on 15 commercial wheat cultivars and 8 MAGIC populations.
OCE-NCGS-PDF-Utpal Bose - - Published 06 Feb 2020
We sequenced small RNAs from the following five conditions: germinated spores (3 replicates), ungerminated spores (1 replicate), uninfected wheat (3 replicates) and infected wheat at 3dpi, 5dpi and 7d... morepi (3 replicates each). less
Characterisation of non-coding RNA cross talk mechanisms between fungal pathogens and plants and investigation of their role in pathogenicity - - Published 31 Oct 2018
Analysed quality (viscosity and baking) data from 4way MAGIC trials in Yanco, Wongan Hills and Narrabri. Traits include equivalent Falling Number (eFN), relative expression of Ta-AMY1, total alpha amy... morelase activity, ELISA based LMA detection, crumb firmness, loaf volume, loaf weight, number of cells, oven spring, slice area and slice brightness.less
SIPXXX_LMAnate - - Published 16 Aug 2018
Scans used to test accuracy of the GrainScan application. The genotypes have been de-identified, but scan filenames will allow analysis. Filenames are of the form 'genotype_batch_batchorder.jpg'.
Legacy data - GrainScan development - Published 04 Dec 2014
There is limited understanding about the landscape factors influencing the spatio-temporal distribution of insects, and how these can be manipulated to suppress pest populations in crops. Theory sugge... morests that the relative timing of pest and natural enemy arrival in crops may influence pest suppression; however there is a lack of data to substantiate this claim. We investigated the movement patterns of insects from native vegetation (NV) into nearby crop fields early in the cropping season, and the implications of these patterns for pest control services.less
CLSD-1180.4 GRDC IPM in Landscapes - Malaise trap data - Published 18 Nov 2014