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Author Savary, S.; Jouanin, C.; Félix, I.; Gourdain, E.; Piraux, F.; Brun, F.; Willocquet, L.
Title Assessing plant health in a network of experiments on hardy winter wheat varieties in France: patterns of disease-climate associations Type Journal Article
Year 2016 Publication European Journal of Plant Pathology Abbreviated Journal Eur. J. Plant Pathol.
Volume 146 Issue (up) Pages 741-755
Keywords Puccinia triticina; Puccinia striiformis; Fusarium graminearum; Fusarium culmorum; Fusarium avenaceum; Blumeria graminis; Zymoseptoria tritici; Categorical data; Risk factor; Multiple pathosystem; Correspondence analysis; Logistic regression
Abstract A data set generated by a multi-year (2003–2010) and multi-site network of experiments on winter wheat varieties grown at different levels of crop management is analysed in order to assess the importance of climate on the variability of wheat health. Wheat health is represented by the multiple pathosystem involving five components: leaf rust, yellow rust, fusarium head blight, powdery mildew, and septoria tritici blotch. An overall framework of associations between multiple diseases and climate variables is developed. This framework involves disease levels in a binary form (i.e. epidemic vs. non-epidemic) and synthesis variables accounting for climate over spring and early summer. The multiple disease-climate pattern of associations of this framework conforms to disease-specific knowledge of climate effects on the components of the pathosystem. It also concurs with a (climate-based) risk factor approach to wheat diseases. This report emphasizes the value of large scale data in crop health assessment and the usefulness of a risk factor approach for both tactical and strategic decisions for crop health management.
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Language English Summary Language Original Title
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ISSN 0929-1873 1573-8469 ISBN Medium
Area CropM Expedition Conference
Notes CropMwp;wos; ftnot_macsur; Approved no
Call Number MA @ admin @ Serial 4755
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Author Kipling, R.
Title LiveM2016: International livestock modelling conference – Modelling grassland-livestock systems under climate change Type Report
Year 2016 Publication FACCE MACSUR Reports Abbreviated Journal
Volume 8 Issue (up) Pages L0.1-D1
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Notes Approved no
Call Number MA @ admin @ Serial 4841
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Author Foskolis, A.; Moorby, J.
Title Lifetime nitrogen efficiency of dairy cattle: Model description and sensitivity analysis Type Conference Article
Year 2016 Publication FACCE MACSUR Reports Abbreviated Journal
Volume 8 Issue (up) Pages SP8-9
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Abstract Conference poster PDF
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Area Expedition Conference LiveM2016: International livestock modelling conference – Modelling grassland-livestock systems under climate change
Notes Approved no
Call Number MA @ admin @ Serial 4842
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Author Wallach, D.; Thorburn, P.; Asseng, S.; Challinor, A.J.; Ewert, F.; Jones, J.W.; Rötter, R.; Ruane, A.
Title Overview paper on comprehensive framework for assessment of error and uncertainty in crop model predictions Type Report
Year 2016 Publication FACCE MACSUR Reports Abbreviated Journal
Volume 8 Issue (up) Pages C4.1-D
Keywords MACSUR_ACK; CropM
Abstract Crop models are important tools for impact assessment of climate change, as well as for  exploring management options under current climate. It is essential to evaluate the  uncertainty associated with predictions of these models. Several ways of quantifying  prediction uncertainty have been explored in the literature, but there have been no  studies of how the different approaches are related to one another, and how they are  related to some overall measure of prediction uncertainty. Here we show that all the  different approaches can be related to two different viewpoints about the model; either  the model is treated as a fixed predictor with some average error, or the model can be  treated as a random variable with uncertainty in one or more of model structure, model  inputs and model parameters. We discuss the differences, and show how mean squared  error of prediction can be estimated in both cases. The results can be used to put  uncertainty estimates into a more general framework and to relate different uncertainty  estimates to one another and to overall prediction uncertainty. This should lead to a  better understanding of crop model prediction uncertainty and the underlying causes of  that uncertainty. This study was published as (Wallach et al. 2016)
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Area Expedition Conference
Notes Approved no
Call Number MA @ office @ Serial 2954
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Author Calanca, P.
Title Modelling the impacts of seasonal drought on herbage growth under climate change Type Report
Year 2016 Publication FACCE MACSUR Reports Abbreviated Journal
Volume 8 Issue (up) Pages SP8-3
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Abstract Conference presentation PDF
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Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference LiveM2016: International livestock modelling conference – Modelling grassland-livestock systems under climate change
Notes Approved no
Call Number MA @ admin @ Serial 4837
Permanent link to this record