Multimodel Inference for the Prediction of Disease Symptoms and Yield Loss of Potato in a Two-Year Crop Rotation Experiment
International Journal of Agronomy
The second order Akaike information criterion was used for the assessment of 139 regression models for three responses of potato test crops: (a) incidence ofSpongospora subterraneaon the harvested tubers, (b) percentage of haulms infected withVerticillium dahliae,and (c) tuber yield. Six variables that are likely related to the response variables were taken into consideration: soil infestations of the fungusVerticillium dahliaeand of three nematode species (Globodera
... Trichodoridae,andMeloidogynespp.) and, furthermore, soil pH and water soluble phosphor (P). Interactions betweenV. dahliaeand the three nematode species were included as well. Based on multimodelling, predictors are given a weight from which one may decide about the need to include them in a prediction of crop yield. The most important predictors were soil infestation levels ofV. dahliaeandG. pallidaand soil pH. The outcome also showed that tubers suffered more fromS. subterraneafor higher soil pH values. Finally, yield reduction from the presence ofV. dahliaewas enhanced by the presence of higher densities ofG. pallida.