Multimodel Inference for the Prediction of Disease Symptoms and Yield Loss of Potato in a Two-Year Crop Rotation Experiment

The second order Akaike information criterion was used for the assessment of 139 regression models for three responses of potato test crops: (a) incidence of Spongospora subterranea on the harvested tubers, (b) percentage of haulms infected with Verticillium dahliae, and (c) tuber yield. Six variab...

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Main Authors:	Wim Van den Berg, Jan Vos, Johan Grasman
Format:	Article
Language:	English
Published:	Hindawi Limited 2012-01-01
Series:	International Journal of Agronomy
Online Access:	http://dx.doi.org/10.1155/2012/438906

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spelling	doaj-1f22fa5eeb8040b383401a0e375f08c82020-11-24T22:43:33ZengHindawi LimitedInternational Journal of Agronomy1687-81591687-81672012-01-01201210.1155/2012/438906438906Multimodel Inference for the Prediction of Disease Symptoms and Yield Loss of Potato in a Two-Year Crop Rotation ExperimentWim Van den Berg0Jan Vos1Johan Grasman2Applied Plant Research for Arable Farming, Multifunctional Agriculture and Field Production of Vegetables, Wageningen UR, P.O. Box 430, 8200 AK Lelystad, The NetherlandsCentre for Crop Systems Analysis, Wageningen University, P.O. Box 430, 6700 AK Wageningen, The NetherlandsBiometris, Department of Mathematical and Statistical Methods, Wageningen University, P.O. Box 100, 6700 AC, Wageningen, The NetherlandsThe second order Akaike information criterion was used for the assessment of 139 regression models for three responses of potato test crops: (a) incidence of Spongospora subterranea on the harvested tubers, (b) percentage of haulms infected with Verticillium dahliae, and (c) tuber yield. Six variables that are likely related to the response variables were taken into consideration: soil infestations of the fungus Verticillium dahliae and of three nematode species (Globodera pallida, Trichodoridae, and Meloidogyne spp.) and, furthermore, soil pH and water soluble phosphor (P). Interactions between V. dahliae and 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 of V. dahliae and G. pallida and soil pH. The outcome also showed that tubers suffered more from S. subterranea for higher soil pH values. Finally, yield reduction from the presence of V. dahliae was enhanced by the presence of higher densities of G. pallida.http://dx.doi.org/10.1155/2012/438906
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Wim Van den Berg Jan Vos Johan Grasman
spellingShingle	Wim Van den Berg Jan Vos Johan Grasman Multimodel Inference for the Prediction of Disease Symptoms and Yield Loss of Potato in a Two-Year Crop Rotation Experiment International Journal of Agronomy
author_facet	Wim Van den Berg Jan Vos Johan Grasman
author_sort	Wim Van den Berg
title	Multimodel Inference for the Prediction of Disease Symptoms and Yield Loss of Potato in a Two-Year Crop Rotation Experiment
title_short	Multimodel Inference for the Prediction of Disease Symptoms and Yield Loss of Potato in a Two-Year Crop Rotation Experiment
title_full	Multimodel Inference for the Prediction of Disease Symptoms and Yield Loss of Potato in a Two-Year Crop Rotation Experiment
title_fullStr	Multimodel Inference for the Prediction of Disease Symptoms and Yield Loss of Potato in a Two-Year Crop Rotation Experiment
title_full_unstemmed	Multimodel Inference for the Prediction of Disease Symptoms and Yield Loss of Potato in a Two-Year Crop Rotation Experiment
title_sort	multimodel inference for the prediction of disease symptoms and yield loss of potato in a two-year crop rotation experiment
publisher	Hindawi Limited
series	International Journal of Agronomy
issn	1687-8159 1687-8167
publishDate	2012-01-01
description	The second order Akaike information criterion was used for the assessment of 139 regression models for three responses of potato test crops: (a) incidence of Spongospora subterranea on the harvested tubers, (b) percentage of haulms infected with Verticillium dahliae, and (c) tuber yield. Six variables that are likely related to the response variables were taken into consideration: soil infestations of the fungus Verticillium dahliae and of three nematode species (Globodera pallida, Trichodoridae, and Meloidogyne spp.) and, furthermore, soil pH and water soluble phosphor (P). Interactions between V. dahliae and 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 of V. dahliae and G. pallida and soil pH. The outcome also showed that tubers suffered more from S. subterranea for higher soil pH values. Finally, yield reduction from the presence of V. dahliae was enhanced by the presence of higher densities of G. pallida.
url	http://dx.doi.org/10.1155/2012/438906
work_keys_str_mv	AT wimvandenberg multimodelinferenceforthepredictionofdiseasesymptomsandyieldlossofpotatoinatwoyearcroprotationexperiment AT janvos multimodelinferenceforthepredictionofdiseasesymptomsandyieldlossofpotatoinatwoyearcroprotationexperiment AT johangrasman multimodelinferenceforthepredictionofdiseasesymptomsandyieldlossofpotatoinatwoyearcroprotationexperiment
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Multimodel Inference for the Prediction of Disease Symptoms and Yield Loss of Potato in a Two-Year Crop Rotation Experiment

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