General concepts in integrated pest and disease management

Modeling, Management and Epidemiology.- How to Create and Deploy Infection Models for Plant Pathogens.- A Review of Resurgence and Replacement Causing Pest Outbreaks in IPM.- The Role of Plant Disease Epidemiology in Developing Successful Integrated Disease Management Programs.- Concepts for Plant Protection in Changing Tropical Environments.- Management of Postharvest Diseases in Stone and Pome Fruit Crops.- Integrated Approaches for Carrot Pests and Diseases Management.- Emerging Technologies in IPM/IDM.- Integrated Agricultural Pest Management Through Remote Sensing And Spatial Analyses.- Applications Of Information Technology In IPM.- Biology And Applications Of Bacillus Thuringiensis In Integrated Pest anagement.- Mycorrhizae In The Integrated Pest And Disease Management.- Molecular Aspects in IPM/IDM.- Integrated Management Of Insect Borne Viruses By Means Of Transmission Interference As An Alternative To Pesticides.- Novel Tensio-Active Microbial Compounds for Biocontrol Applications.- Molecular Detection in Integrated Pest and Disease Management.

[1]  B. Jacobsen.  Role of plant pathology in integrated pest management. , 1997, Annual review of phytopathology.

[2]  J. Rotem.  Techniques of Controlled-Condition Experiments , 1988 .

[3]  A. Viau,et al.  Regionalization of outputs of two crop protection models using geostatistical tools and NOAA-AVHRR images , 2005 .

[4]  G. H. Brenchley,et al.  Aerial Photography for the Study of Plant Diseases , 1968 .

[5]  Maggi Kelly,et al.  Support vector machines for predicting distribution of Sudden Oak Death in California , 2005 .

[6]  Mark R. T. Dale,et al.  Spatial Pattern Analysis in Plant Ecology: Spatial Pattern Analysis in Plant Ecology , 1999 .

[7]  J. Russo,et al.  Decision Support Systems: Quenching the Thirst. , 2002, Plant disease.

[8]  Richard Latin,et al.  Disease-warning systems for processing tomatoes in eastern North America: are we there yet? , 1995 .

[9]  Faith R. Kearns,et al.  Geospatial Informatics for Management of a New Forest Disease: Sudden Oak Death , 2004 .

[10]  A. V. Van Bruggen,et al.  Spatial analysis of lettuce downy mildew using geostatistics and geographic information systems. , 2001, Phytopathology.

[11]  Armando Apan,et al.  Detecting sugarcane ‘orange rust’ disease using EO-1 Hyperion hyperspectral imagery , 2004 .

[12]  P. Burrough,et al.  Principles of geographical information systems , 1998 .

[13]  G. Fitzgerald,et al.  Spectral and thermal sensing for nitrogen and water status in rainfed and irrigated wheat environments , 2006, Precision Agriculture.

[14]  D. Gadoury,et al.  Forecasting ascospore dose of Venturia inaequalis in commercial apple orchards , 1986 .

[15]  Jay T. Akridge,et al.  2008 PRECISION AGRICULTURAL SERVICES DEALERSHIP SURVEY RESULTS , 2008 .

[16]  W. Wilcox,et al.  The epidemiology of powdery mildew on concord grapes. , 2001, Phytopathology.

[17]  T. Heisel,et al.  Annual weed distributions can be mapped with kriging , 1996 .

[18]  B. Fitt,et al.  Spore dispersal in relation to epidemic models , 1986 .

[19]  W. E. Machardy,et al.  The Retention and Redistribution of Captan on Apple Foliage , 1984 .

[20]  N. C. Kenkel,et al.  Pattern of Self‐Thinning in Jack Pine: Testing the Random Mortality Hypothesis , 1988 .

[21]  P. W. Steiner.  Predicting apple blossom infections by Erwinia amylovora using the MARYBLYT model. , 1990 .

[22]  H. Jones,et al.  Combining thermal and visible imagery for estimating canopy temperature and identifying plant stress. , 2004, Journal of experimental botany.

[23]  Soizik Laguette,et al.  Remote sensing applications for precision agriculture: A learning community approach , 2003 .

[24]  K. Price,et al.  Spectral retrogression and insect damage in lodgepole pine successional forests , 1998 .

[25]  James A. Duthie,et al.  Models of the response of foliar parasites to the combined effects of temperature and duration of wetness. , 1997, Phytopathology.

[26]  L. Madden,et al.  Influence of temperature and wetness duration on infection of immature strawberry fruit by Phytophthora cactorum , 1985 .

[27]  G. Tylka,et al.  Use of remote sensing to detect soybean cyst nematode-induced plant stress. , 2002, Journal of nematology.

[28]  L. Madden,et al.  FAST, a Forecast System for Alternaria solani on Tomato , 1978 .

[29]  D. L. Boykin,et al.  Site-specific Approaches to Cotton Insect Control. Sampling and Remote Sensing Analysis Techniques , 2005, Precision Agriculture.

[30]  P. M. Phipps,et al.  Development of a pathogen growth response model for the Virginia peanut leaf spot advisory program , 1993 .

[31]  T. Michailides,et al.  Factors Affecting Latent Infection of Prune Fruit by Monilinia fructicola. , 2001, Phytopathology.

[32]  Liangzhi Gao,et al.  Rice clock model―a computer model to simulate rice development , 1992 .

[33]  J. Willers,et al.  EVALUATION OF REMOTE SENSING TO IDENTIFY VARIABILITY IN COTTON PLANT GROWTH AND CORRELATION WITH LARVAL DENSITIES OF BEET ARMYWORM AND CABBAGE LOOPER (LEPIDOPTERA:NOCTUIDAE) , 2003 .

[34]  Xiangming Xu,et al.  Modelling Plant Disease Epidemics , 2003 .

[35]  A. Jones,et al.  A model for detecting infection periods of Coccomyces hiemalis on sour cherry. , 1981 .

[36]  D. Gadoury,et al.  Ascocarp dehiscence and ascospore discharge in Uncinula necator , 1990 .

[37]  M. Eversmeyer,et al.  Models of Early Spring Survival of Wheat Leaf Rust in the Central Great Plains. , 1998, Plant disease.

[38]  J. Colhoun,et al.  Effects of Environmental Factors on Plant Disease , 1973 .

[39]  T. B. Sutton,et al.  A simple generic infection model for foliar fungal plant pathogens. , 2005, Phytopathology.

[40]  J. Zack,et al.  Site-Specific Weather Information Without On-Site Sensors. , 2001, Plant disease.

[41]  and R A Krause,et al.  Predictive Systems: Modern Approaches to Disease Control , 1975 .

[42]  Scott A. Isard,et al.  The Establishment of a National Pest Information Platform for Extension and Education , 2006 .

[43]  P. A. Magarey,et al.  A computer-based simulator for rational management of grapevine downy mildew (Plasmopara viticola). , 1991 .

[44]  W. D. Woodson,et al.  Geostatistical Characterization of the Spatial Distribution of Adult Corn Rootworm (Coleoptera: Chrysomelidae) Emergence , 1998 .

[45]  W. Pfender.  Prediction of stem rust infection favorability, by means of degree-hour wetness duration, for perennial ryegrass seed crops. , 2003, Phytopathology.

[46]  Stan G. Daberkow,et al.  Farm and Operator Characteristics Affecting the Awareness and Adoption of Precision Agriculture Technologies in the US , 2003, Precision Agriculture.

[47]  R. Bugiani,et al.  Forecasting models and warning services in Emilia‐Romagna (Italy) , 1996 .

[48]  I. M. Scotford,et al.  Applications of Spectral Reflectance Techniques in Northern European Cereal Production: A Review , 2005 .

[49]  J. R. Jensen.  Biophysical Remote Sensing , 1983 .

[50]  Susan L. Ustin,et al.  Hyperspectral remote sensing for invasive species detection and mapping , 2002, IEEE International Geoscience and Remote Sensing Symposium.

[51]  E. Oerke.  Crop losses to pests , 2005, The Journal of Agricultural Science.

[52]  James Woodward,et al.  Biological invasions as global environmental change , 1996 .

[53]  D. Westfall,et al.  Evaluating Farmer Defined Management Zone Maps for Variable Rate Fertilizer Application , 2000, Precision Agriculture.

[54]  L. Madden,et al.  Influence of temperature and wetness duration on infection of strawberry flowers by Botrytis cinerea and disease incidence of fruit originating from infected flowers , 1987 .

[55]  Norman C. Elliott,et al.  Using digital image analysis and spectral reflectance data to quantify damage by greenbug (Hemitera: Aphididae) in winter wheat , 2006 .

[56]  J. Marois,et al.  Development of an infection model for Botrytis bunch rot of grapes based on wetness duration and temperature. , 1995 .

[57]  Bivariate pattern analysis of jack pine - trembling aspen interaction , 1994 .

[58]  J R Riley,et al.  REMOTE SENSING IN ENTOMOLOGY , 1989 .

[59]  P. J. Pinter,et al.  Remote sensing for crop protection , 1993 .

[60]  M. Kogan,et al.  Integrated pest management: historical perspectives and contemporary developments. , 1998, Annual review of entomology.

[61]  James A. Larson,et al.  Adoption of Site-Specific Information and Variable-Rate Technologies in Cotton Precision Farming , 2004, Journal of Agricultural and Applied Economics.

[62]  D. Westfall,et al.  Temporal and Spatial Stability of Soil Test Parameters Used in Precision Agriculture , 2006 .

[63]  Thomas Panagopoulos,et al.  Analysis of spatial interpolation for optimising management of a salinized field cultivated with lettuce , 2006 .

[64]  A. Peled,et al.  Spectral indices for precise agriculture monitoring , 2006 .

[65]  Jennifer A. Miller,et al.  Land-Cover Change Monitoring with Classification Trees Using Landsat TM and Ancillary Data , 2003 .

[66]  David Lonsdale,et al.  Tree diseases and landscape processes: the challenge of landscape pathology. , 2004, Trends in ecology & evolution.

[67]  Nello Cristianini,et al.  Support Vector Machines and Kernel Methods: The New Generation of Learning Machines , 2002, AI Mag..

[68]  R. Latin,et al.  A model based on temperature and leaf wetness duration for establishment of alternaria leaf blight of muskmelon , 1992 .

[69]  K. Kelling,et al.  Plant pathogen population dynamics in potato fields. , 2002, Journal of nematology.

[70]  D. Gadoury,et al.  A revision of Mill's criteria for predicting apple scab infection periods. , 1989 .

[71]  M. Gleason,et al.  Forecasting Site-Specific Leaf Wetness Duration for Input to Disease-Warning Systems. , 2006, Plant disease.

[72]  A. Jones.  Evaluation of the Computer Model MARYBLYT for Predicting Fire Blight Blossom Infection on Apple in Michigan , 1992 .

[73]  R. D. Berger.  Early Blight of Celery: Analysis of Disease Spread in Florida , 1973 .

[74]  J. Shuman,et al.  Integrating a host-resistance factor into the FAST system to forecast early blight of potato , 2008, American Journal of Potato Research.

[75]  Noel A Cressie,et al.  Statistics for Spatial Data. , 1992 .

[76]  S. Prasher,et al.  Classification of hyperspectral data by decision trees and artificial neural networks to identify weed stress and nitrogen status of corn , 2003 .

[77]  Dennis D. Calvin,et al.  A developmental database to support insect phenology models , 2007 .

[78]  F. C. BAWDEN,et al.  Infra-Red Photography and Plant Virus Diseases , 1933, Nature.

[79]  M. S. Moran,et al.  Multispectral Remote Sensing and Site-Specific Agriculture: Examples of Current Technology and Future Possibilities * , 2015 .

[80]  Svend Christensen,et al.  A decision algorithm for patch spraying , 2003 .

[81]  E. Civerolo,et al.  Spatial Analysis of Almond Leaf Scorch Disease in the San Joaquin Valley of California: Factors Affecting Pathogen Distribution and Spread. , 2005, Plant disease.

[82]  R. Spotts.  Effect of leaf wetness duration and temperature on the infectivity of Guignardia bidwellii on grape leaves. , 1977 .

[83]  H. R. Jackson.  Microdensitometer Measurements of Sequential Aerial Photographs of Field Beans Infected with Bacterial Blight , 1975 .

[84]  J. Zack,et al.  Estimating disease risk at the whole plant level with General Circulation Models. , 2000, Environmental pollution.

[85]  John R. Jensen,et al.  Introductory Digital Image Processing: A Remote Sensing Perspective , 1986 .

[86]  D. Gadoury,et al.  Integration of pesticide application schedules for disease and insect control in apple orchards of the northeastern United States , 1989 .

[87]  W. Wilcox,et al.  Ontogenic resistance to powdery mildew in grape berries. , 2003, Phytopathology.

[88]  Leslie A. Real,et al.  Spatial pattern and process in plant-pathogen interactions , 1996 .

[89]  P. C. Robert.  Precision agriculture: a challenge for crop nutrition management , 2002 .

[90]  T. Kobayashi,et al.  Detection of rice panicle blast with multispectral radiometer and the potential of using airborne multispectral scanners. , 2001, Phytopathology.

[91]  C. Populer.  Chapter 12 – Changes in Host Susceptibility with Time , 1978 .

[92]  R. Weisz,et al.  Site-specific integrated pest management for high value crops: sample units for map generation using the Colorado potato beetle (Coleoptera: Chrysomelidae) as a model system. , 1995, Journal of economic entomology.

[93]  Y. Cohen.  The combined effects of temperature, leaf wetness, and inoculum concentration on infection of cucumbers with Pseudoperonospora cubensis. , 1977 .

[94]  H. Nilsson.  Remote sensing and image analysis in plant pathology. , 1995, Annual review of phytopathology.

[95]  D. Shtienberg,et al.  Incorporation of Weather Forecasting in Integrated, Biological-Chemical Management of Botrytis cinerea. , 1997, Phytopathology.

[96]  Albert Olioso,et al.  Using multidirectional thermography to characterize water status of cotton , 2003 .

[97]  Minghua Zhang,et al.  Remote Sensed Spectral Imagery to Detect Late Blight in Field Tomatoes , 2005, Precision Agriculture.

[99]  J. Baerdemaeker,et al.  Yield variability related to landscape properties of a loamy soil in central Belgium , 2006 .

[100]  John F. Reid,et al.  DEVELOPMENT OF A PRECISION SPRAYER FOR SITE-SPECIFIC WEED MANAGEMENT , 1999 .

[101]  R. Colwell.  Determining the prevalence of certain cereal crop diseases by means of aerial photography , 1956 .

[102]  T. Gillespie,et al.  Modeling Leaf Wetness in Relation to Plant Disease Epidemiology , 1992 .

[103]  S. Prasher,et al.  Application of support vector machine technology for weed and nitrogen stress detection in corn , 2006 .

[104]  R. Weisz,et al.  Site-Specific Integrated Pest Management for High-Value Crops: Impact on Potato Pest Management , 1996 .

[105]  E. Montesinos,et al.  Evaluation of FAST as a forecasting system for scheduling fungicide sprays for control of Stemphylium vesicarium on pear. , 1992 .

[106]  R. Magarey,et al.  Estimating Surface Wetness on Plants , 2005 .

[107]  L. Madden,et al.  How to Develop Plant Disease Forecasters , 1988 .

[108]  Elizabeth Pattey,et al.  Variability of seasonal CASI image data products and potential application for management zone delineation for precision agriculture , 2005 .

[109]  J. Lowenberg‐DeBoer,et al.  Precision Agriculture and Sustainability , 2004, Precision Agriculture.

[110]  Minghua Zhang,et al.  Spectral discrimination of Phytophthora infestans infection on tomatoes based on principal component and cluster analyses , 2002 .

[111]  S. Ustin,et al.  Detection of stress in tomatoes induced by late blight disease in California, USA, using hyperspectral remote sensing , 2003 .

[112]  D. Rizzo,et al.  Effects of Temperature and Water Vapor Pressure on Conidial Germination and Lesion Expansion of Sphaerotheca macularis f. sp. fragariae. , 2003, Plant disease.

[113]  C. C. Barton,et al.  Where in the world are my field plots? Using GPS effectively in environmental field studies , 2004 .

[114]  S. Fleischer,et al.  Spatial Analysis of Counts of Western Com Rootworm (Coleoptera: Chrysomelidae) Adults on Yellow Sticky Traps in Corn: Geostatistics and Dispersion Indices , 1993 .

[115]  N. Grünwald,et al.  Potato Late-Blight Management in the Toluca Valley: Forecasts and Resistant Cultivars. , 2000, Plant disease.

[116]  J. Northover,et al.  Early and late-season susceptibility of peach fruits to Monilinia fructicola , 1988 .

[117]  A. Stensvand,et al.  Ascospore Release and Infection of Apple Leaves by Conidia and Ascospores of Venturia inaequalis at Low Temperatures. , 1997, Phytopathology.

[118]  C. E. Main,et al.  A regional analysis of the meteorological aspects of the spread and development of blue mold on tobacco , 1984 .

[119]  J. Ogawa,et al.  Influence of wetness period and temperature on infection and development of shot-hole disease of almond caused by Wilsonomyces carpophilus. , 1990 .

[120]  Michael Anthony Fidanza,et al.  Development and field validation of a brown patch warning model for perennial ryegrass turf , 1996 .

[121]  Stephan J. Maas,et al.  Spider Mite Detection and Canopy Component Mapping in Cotton Using Hyperspectral Imagery and Spectral Mixture Analysis , 2004, Precision Agriculture.

[122]  S. Fleischer,et al.  Site-specific integrated pest management impact on development of esfenvalerate resistance in Colorado potato beetle (Coleoptera: Chrysomelidae) and on densities of natural enemies. , 1997 .

[123]  J. R. Jensen.  Remote Sensing of the Environment: An Earth Resource Perspective , 2000 .

[124]  D. Gadoury,et al.  Effects of temperature on the development of pseudothecia of Venturia inaequalis , 1982 .

[125]  L. Tian,et al.  A Review on Remote Sensing of Weeds in Agriculture , 2004, Precision Agriculture.

[126]  Hans-R Langner,et al.  A Special Vegetation Index for the Weed Detection in Sensor Based Precision Agriculture , 2006, Environmental monitoring and assessment.