Prediction of infection in plant products

A method for predicting the likelihood of infection in a collection of plant products of similar origin is disclosed. A subset of plant products is selected from the set of plant products. For each plant product in the subset, the expression level of one or more infection biomarkers is determined, and optionally the expression level of one or more housekeeper biomarkers is determined. A biomarker expression statistical dataset for the subset of plant products is determined based on the determined expression level of the one or more infection biomarkers and optionally the expression level of the one or more housekeeper biomarkers for each plant product in the subset. A likelihood of infection in the set of plant products is then predicted based at least in part on the determined biomarker expression statistical dataset of the subset of plant products. 公开了一种用于预测相似来源的植物产品的集合中感染的可能性的方法。从植物产品的集合中选择植物产品的子集。对于子集中的每个植物产品，确定一种或多种感染生物标志物的表达水平，以及任选地确定一种或多种管家生物标志物的表达水平。基于子集中的每个植物产品的确定的一种或多种感染生物标志物的表达水平和任选地一种或多种管家生物标志物的表达