Comparing process-based wheat growth models in their simulation of yield losses caused by plant diseases
出版年份 2021 全文链接
标题
Comparing process-based wheat growth models in their simulation of yield losses caused by plant diseases
作者
关键词
Plant diseases, Light stealers, Assimilate sappers, Comparison of models, Ecological intensification
出版物
FIELD CROPS RESEARCH
Volume 265, Issue -, Pages 108108
出版商
Elsevier BV
发表日期
2021-03-06
DOI
10.1016/j.fcr.2021.108108
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Modeling the Impact of Crop Diseases on Global Food Security
- (2020) Serge Savary et al. Annual Review of Phytopathology
- Development and Evaluation of a Leaf Disease Damage Extension in Cropsim-CERES Wheat
- (2019) Georg Röll et al. Agronomy-Basel
- The global burden of pathogens and pests on major food crops
- (2019) Serge Savary et al. Nature Ecology & Evolution
- Concepts, approaches, and avenues for modelling crop health and crop losses
- (2018) Serge Savary et al. EUROPEAN JOURNAL OF AGRONOMY
- Reverse modelling to estimate yield losses caused by crop diseases
- (2018) L. Willocquet et al. PLANT PATHOLOGY
- A review of wheat diseases-a field perspective
- (2017) Melania Figueroa et al. MOLECULAR PLANT PATHOLOGY
- A White Paper on Global Wheat Health Based on Scenario Development and Analysis
- (2017) S. Savary et al. PHYTOPATHOLOGY
- Production situations as drivers of crop health: evidence and implications
- (2017) S. Savary et al. PLANT PATHOLOGY
- Disease Impact on Wheat Yield Potential and Prospects of Genetic Control
- (2016) Ravi P. Singh et al. Annual Review of Phytopathology
- Coupling a generic disease model to the WARM rice simulator to assess leaf and panicle blast impacts in a temperate climate
- (2016) S. Bregaglio et al. EUROPEAN JOURNAL OF AGRONOMY
- Performance of DSSAT-Nwheat across a wide range of current and future growing conditions
- (2016) Belay T. Kassie et al. EUROPEAN JOURNAL OF AGRONOMY
- Problems, challenges and future of plant disease management: from an ecological point of view
- (2016) Dun-chun HE et al. Journal of Integrative Agriculture
- Integrating pest population models with biophysical crop models to better represent the farming system
- (2015) Jeremy P.M. Whish et al. ENVIRONMENTAL MODELLING & SOFTWARE
- A set of software components for the simulation of plant airborne diseases
- (2015) Simone Bregaglio et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Crop modelling for integrated assessment of risk to food production from climate change
- (2015) F. Ewert et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Identifying traits leading to tolerance of wheat to Septoria tritici blotch
- (2015) Bancal Pierre et al. FIELD CROPS RESEARCH
- FactoMineR: AnRPackage for Multivariate Analysis
- (2015) Sébastien Lê et al. Journal of Statistical Software
- Model simplification and development via reuse, sensitivity analysis and composition: A case study in crop modelling
- (2014) T. Stella et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Ecological intensification of agriculture—sustainable by nature
- (2014) Pablo Tittonell Current Opinion in Environmental Sustainability
- Estimating grain yield losses caused by septoria leaf blotch on durum wheat in Tunisia
- (2014) Samia Berraies et al. Chilean Journal of Agricultural Research
- Understanding Spatiotemporal Lags in Ecosystem Services to Improve Incentives
- (2013) Alexander K. Fremier et al. BIOSCIENCE
- Uncertainty in simulating wheat yields under climate change
- (2013) S. Asseng et al. Nature Climate Change
- Fertilization affects severity of disease caused by fungal plant pathogens
- (2012) S. D. Veresoglou et al. PLANT PATHOLOGY
- Climate change, plant diseases and food security: an overview
- (2011) S. Chakraborty et al. PLANT PATHOLOGY
- Simulating multiple pest damage in varying winter wheat production situations
- (2008) L. Willocquet et al. FIELD CROPS RESEARCH
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started