Predicting Take-All Severity in Second-Year Wheat Using Soil DNA Concentrations of Fungal Causal Agens | Plant Pest Modeling | Scoop.it

Bithel SL et al. (2012) published results of DNA-based take-all prediction of the risk of wheat disease. This information could improve prediction of the risk especially if it was combined with the weather data model.


The lack of accurate detection of Gaeumannomyces graminis var. tritici inoculum in soil has hampered efforts to predict the risk of severe take-all for wheat growers. The current study used a molecular method to quantify soil G. graminis var. tritici concentrations in commercial wheat fields in New Zealand and to compare them with the proportion of crops surpassing the thresholds for visible and moderate to severe take-all over three growing seasons.

The study evaluated a soil G. graminis var. tritici DNA-based take-all prediction system developed in Australia, with four take-all risk categories. These categories were found to be useful for predicting disease severity in second wheat but did not clearly separate risk between fields in medium- and high-risk categories.

Bithel SL et al. (2012) Predicting Take-All Severity in Second-Year Wheat Using Soil DNA Concentrations of Gaeumannomyces graminis var. tritici Determined with qPCR.- Plant Disease, Volume 96, Issue 3, Page 443-451, March 2012. http://dx.doi.org/10.1094/PDIS-05-11-0445