University of Hertfordshire

By the same authors

Development of an automated smart trap for wheat pathogens

Research output: Contribution to conferencePoster

Standard

Development of an automated smart trap for wheat pathogens. / Kaye, Richard; Johnston, Ian; Baxter, Richard; Munro, Ian; Tracey, Mark; Day, Rodney; McCluskey, Daniel.

2017. Poster session presented at Innovation in plant biosecurity 2017, York, United Kingdom.

Research output: Contribution to conferencePoster

Harvard

Kaye, R, Johnston, I, Baxter, R, Munro, I, Tracey, M, Day, R & McCluskey, D 2017, 'Development of an automated smart trap for wheat pathogens' Innovation in plant biosecurity 2017, York, United Kingdom, 15/03/17 - 16/02/18, .

APA

Kaye, R., Johnston, I., Baxter, R., Munro, I., Tracey, M., Day, R., & McCluskey, D. (2017). Development of an automated smart trap for wheat pathogens. Poster session presented at Innovation in plant biosecurity 2017, York, United Kingdom.

Vancouver

Kaye R, Johnston I, Baxter R, Munro I, Tracey M, Day R et al. Development of an automated smart trap for wheat pathogens. 2017. Poster session presented at Innovation in plant biosecurity 2017, York, United Kingdom.

Author

Kaye, Richard ; Johnston, Ian ; Baxter, Richard ; Munro, Ian ; Tracey, Mark ; Day, Rodney ; McCluskey, Daniel. / Development of an automated smart trap for wheat pathogens. Poster session presented at Innovation in plant biosecurity 2017, York, United Kingdom.1 p.

Bibtex

@conference{baf38009384f45f1abc160e6ad2a0cee,
title = "Development of an automated smart trap for wheat pathogens",
abstract = "National surveys show fungicide use on wheat continues to increase despite fluctuations in disease pressure, reaching a 30 year high in 2012 (Defra). Septoria tritici is the most significant foliar disease in UK wheat causing between £43M to £53M in yield losses annually; Yellow and brown rust are more sporadic but have caused significant losses during high disease years. In all cases control is by fungicide application costing £82M annually (GFK Kynetec 2013). Effective disease management relies on either prophylactic pesticide use or significant manual intervention and time consuming assessment of crop disease indicators by farmers and agronomists. Furthermore indications are that current levels of pesticide use could lead to increased risk of pesticide resistance, if this should occur it is estimated that wheat yields could reduce by up to 20{\%}. To address this we have developed a prototype integrated and automated spore detection system, designed for unattended field application, to monitor and identify the presence of Septoria, brown and yellow rust. The prototype system incorporates novel cyclonic pathogen collection, on-board sample processing and isothermal DNA amplification chemistry (LAMP). We present the engineering design, optimisation and evaluation of our prototype system reporting on successfully completed laboratory testing and initial field trial results. This prototype will be the basis for the development of a commercially available system which, in addition to inoculum detection, will be capable of providing growers/agronomists with real-time information on inoculum moving into a crop enabling more effective timing and selection of fungicide application, and thus better control, increased yield, and improved environmental stewardship.",
author = "Richard Kaye and Ian Johnston and Richard Baxter and Ian Munro and Mark Tracey and Rodney Day and Daniel McCluskey",
year = "2017",
month = "3",
day = "16",
language = "English",
note = "Innovation in plant biosecurity 2017 ; Conference date: 15-03-2017 Through 16-02-2018",

}

RIS

TY - CONF

T1 - Development of an automated smart trap for wheat pathogens

AU - Kaye, Richard

AU - Johnston, Ian

AU - Baxter, Richard

AU - Munro, Ian

AU - Tracey, Mark

AU - Day, Rodney

AU - McCluskey, Daniel

PY - 2017/3/16

Y1 - 2017/3/16

N2 - National surveys show fungicide use on wheat continues to increase despite fluctuations in disease pressure, reaching a 30 year high in 2012 (Defra). Septoria tritici is the most significant foliar disease in UK wheat causing between £43M to £53M in yield losses annually; Yellow and brown rust are more sporadic but have caused significant losses during high disease years. In all cases control is by fungicide application costing £82M annually (GFK Kynetec 2013). Effective disease management relies on either prophylactic pesticide use or significant manual intervention and time consuming assessment of crop disease indicators by farmers and agronomists. Furthermore indications are that current levels of pesticide use could lead to increased risk of pesticide resistance, if this should occur it is estimated that wheat yields could reduce by up to 20%. To address this we have developed a prototype integrated and automated spore detection system, designed for unattended field application, to monitor and identify the presence of Septoria, brown and yellow rust. The prototype system incorporates novel cyclonic pathogen collection, on-board sample processing and isothermal DNA amplification chemistry (LAMP). We present the engineering design, optimisation and evaluation of our prototype system reporting on successfully completed laboratory testing and initial field trial results. This prototype will be the basis for the development of a commercially available system which, in addition to inoculum detection, will be capable of providing growers/agronomists with real-time information on inoculum moving into a crop enabling more effective timing and selection of fungicide application, and thus better control, increased yield, and improved environmental stewardship.

AB - National surveys show fungicide use on wheat continues to increase despite fluctuations in disease pressure, reaching a 30 year high in 2012 (Defra). Septoria tritici is the most significant foliar disease in UK wheat causing between £43M to £53M in yield losses annually; Yellow and brown rust are more sporadic but have caused significant losses during high disease years. In all cases control is by fungicide application costing £82M annually (GFK Kynetec 2013). Effective disease management relies on either prophylactic pesticide use or significant manual intervention and time consuming assessment of crop disease indicators by farmers and agronomists. Furthermore indications are that current levels of pesticide use could lead to increased risk of pesticide resistance, if this should occur it is estimated that wheat yields could reduce by up to 20%. To address this we have developed a prototype integrated and automated spore detection system, designed for unattended field application, to monitor and identify the presence of Septoria, brown and yellow rust. The prototype system incorporates novel cyclonic pathogen collection, on-board sample processing and isothermal DNA amplification chemistry (LAMP). We present the engineering design, optimisation and evaluation of our prototype system reporting on successfully completed laboratory testing and initial field trial results. This prototype will be the basis for the development of a commercially available system which, in addition to inoculum detection, will be capable of providing growers/agronomists with real-time information on inoculum moving into a crop enabling more effective timing and selection of fungicide application, and thus better control, increased yield, and improved environmental stewardship.

M3 - Poster

ER -