2023 NGN - Management strategies for wheat powdery mildew in southern NSW Data

The 2023 NGN project “Management strategies for wheat powdery mildew in southern NSW Data” delivered validation trials that demonstrated cost effective fungicide resistance management strategies for wheat powdery mildew . Wheat powdery mildew (WPM) can cause up to 25% yield loss in Australia with commonly grown varieties possessing poor resistance, ranging from susceptible/very susceptible (SVS) to very susceptible (VS). In the Northern region WPM is particularly problematic in the western lower rainfall areas of NSW in years of higher-than-average rainfall and irrigated paddocks, though is found throughout the wheat growing regions of NSW.

Data and file overview (D-3.2)

The data presented here is the 2023 NGN - Management strategies for wheat powdery mildew in southern NSW Project results. The results cover both research sites:

Balldale, NSW

Hillston, NSW (Irrigated)

Data files

The data are organised by research site and trial name. The trial name corresponds to trial details and analysis contained within the pdf results report.

This repository includes:

The most recent version of the excel data sheet(s) that record original data and contains related calculations (eg. plant density from plant counts). These are in similar formats for most trials.

The pdf copy of the most recent report on the experiment.

Methodological information (D-3.3)

Experimental design and treatment summaries are contained within the Annual results report contained within this repository (NSW WPM Trial Results.pdf).

Raw data has been summarised per plot into columns representing each assessment conducted using GDM ARM trial management software. Each sheet contains a key describing units and codes for each assessment. 

Environmental/experimental conditions (D-3.4)

·         The trial reports describe experimental or environmental conditions (including soil and climate details) affecting the interpretation of the relevant trial data.

Data-specific information (D-3.5)

·         The data spreadsheets are self-describing. The rows above the data typically contain the date, crop growth stage, a brief description of the assessment made and any notes made. A key is located in each sheet with further descriptions of units, codes and abbreviations used.

The research undertaken as part of these projects is made possible by the significant contributions of growers through both trial cooperation and the support of the GRDC, the authors would like to thank them for their continued support. FAR Australia gratefully acknowledges the support of its research and extension partner AgGrow Agronomy and Research.