Hispana. Acceso en línea al Patrimonio Cultural Digital Español

Está en:  › Datos do registro

A Decision Support System Based on Degree-Days to Initiate Fungicide Spray Programs for Peach Powdery Mildew in Catalonia, Spain

Identificadores del recurso

Marimon, N., Eduardo, I., Martínez-Minaya, J., Vicente, A., & Luque, J. (2020). A decision support system based on degree-days to initiate fungicide spray programs for peach powdery mildew in Catalonia, Spain. Plant Disease, 104(9), 2418-2425.

0191-2917

1943-7692 (e-ISSN)

http://hdl.handle.net/20.500.11939/6675

10.1094/PDIS-10-19-2130-RE

https://apsjournals.apsnet.org/doi/full/10.1094/PDIS-10-19-2130-RE

Procedencia

(ReDIVIA: Repositori Digital de l'Institut Valencià d'Investigacions Agràries)

Ficha

Título:: A Decision Support System Based on Degree-Days to Initiate Fungicide Spray Programs for Peach Powdery Mildew in Catalonia, Spain
Tema:: Beta regression; Podosphaera pannosa; H20 Plant diseases; Disease control; Epidemiology; Prunus persica
Descrición:: The incidence of peach powdery mildew (PPM) on fruit was monitored in commercial peach orchards to i) describe the disease progress in relation to several environmental parameters and ii) establish an operating threshold to initiate a fungicide spray program based on accumulated degree-day (ADD) data. A beta-regression model for disease incidence showed a substantial contribution of the random effects orchard and year, whereas relevant fixed effects corresponded to ADD, wetness duration, and ADD considering vapor pressure deficit and rain. When beta-regression models were fitted for each orchard and year considering only ADD, disease onset was observed at 242 ± 13 ADD and symptoms did not develop further after 484 ± 42 ADD. An operating threshold to initiate fungicide applications was established at 220 ADD, coinciding with a PPM incidence in fruit around 0.05. A validation was further conducted by comparing PPM incidence in i) a standard, calendar-based program, ii) a program with applications initiated at 220 ADD, and iii) a nontreated control. A statistically relevant reduction in disease incidence in fruit was obtained with both fungicide programs, from 0.244 recorded in the control to 0.073 with the 220-ADD alert program, and 0.049 with the standard program. The 220-ADD alert program resulted in 33% reduction in fungicide applications.
Fonte:: electronico
Idioma:
Autor/Productor:: Marimón, Neus; Eduardo, Iban; Martínez-Minaya, Joaquín; Vicent, Antonio; Luque, Jordi
Editor:: The American Phytopathological Society (APS)
Dereitos:: Atribución-NoComercial-SinDerivadas 3.0 España; http://creativecommons.org/licenses/by-nc-nd/3.0/es/; closedAccess
Data:: 2020-10-21T07:23:42Z; 2020
Tipo de recurso:: article; publishedVersion

oai_dc

Descargar XML

<?xml version="1.0" encoding="UTF-8" ?>

<oai_dc:dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
1. <dc:title>A Decision Support System Based on Degree-Days to Initiate Fungicide Spray Programs for Peach Powdery Mildew in Catalonia, Spain</dc:title>
2. <dc:creator>Marimón, Neus</dc:creator>
3. <dc:creator>Eduardo, Iban</dc:creator>
4. <dc:creator>Martínez-Minaya, Joaquín</dc:creator>
5. <dc:creator>Vicent, Antonio</dc:creator>
6. <dc:creator>Luque, Jordi</dc:creator>
7. <dc:subject>Beta regression</dc:subject>
8. <dc:subject>Podosphaera pannosa</dc:subject>
9. <dc:subject>H20 Plant diseases</dc:subject>
10. <dc:subject>Disease control</dc:subject>
11. <dc:subject>Epidemiology</dc:subject>
12. <dc:subject>Prunus persica</dc:subject>
13. <dc:description>The incidence of peach powdery mildew (PPM) on fruit was monitored in commercial peach orchards to i) describe the disease progress in relation to several environmental parameters and ii) establish an operating threshold to initiate a fungicide spray program based on accumulated degree-day (ADD) data. A beta-regression model for disease incidence showed a substantial contribution of the random effects orchard and year, whereas relevant fixed effects corresponded to ADD, wetness duration, and ADD considering vapor pressure deficit and rain. When beta-regression models were fitted for each orchard and year considering only ADD, disease onset was observed at 242 ± 13 ADD and symptoms did not develop further after 484 ± 42 ADD. An operating threshold to initiate fungicide applications was established at 220 ADD, coinciding with a PPM incidence in fruit around 0.05. A validation was further conducted by comparing PPM incidence in i) a standard, calendar-based program, ii) a program with applications initiated at 220 ADD, and iii) a nontreated control. A statistically relevant reduction in disease incidence in fruit was obtained with both fungicide programs, from 0.244 recorded in the control to 0.073 with the 220-ADD alert program, and 0.049 with the standard program. The 220-ADD alert program resulted in 33% reduction in fungicide applications.</dc:description>
14. <dc:date>2020-10-21T07:23:42Z</dc:date>
15. <dc:date>2020-10-21T07:23:42Z</dc:date>
16. <dc:date>2020</dc:date>
17. <dc:type>article</dc:type>
18. <dc:type>publishedVersion</dc:type>
19. <dc:identifier>Marimon, N., Eduardo, I., Martínez-Minaya, J., Vicente, A., & Luque, J. (2020). A decision support system based on degree-days to initiate fungicide spray programs for peach powdery mildew in Catalonia, Spain. Plant Disease, 104(9), 2418-2425.</dc:identifier>
20. <dc:identifier>0191-2917</dc:identifier>
21. <dc:identifier>1943-7692 (e-ISSN)</dc:identifier>
22. <dc:identifier>http://hdl.handle.net/20.500.11939/6675</dc:identifier>
23. <dc:identifier>10.1094/PDIS-10-19-2130-RE</dc:identifier>
24. <dc:identifier>https://apsjournals.apsnet.org/doi/full/10.1094/PDIS-10-19-2130-RE</dc:identifier>
25. <dc:language>en</dc:language>
26. <dc:rights>Atribución-NoComercial-SinDerivadas 3.0 España</dc:rights>
27. <dc:rights>http://creativecommons.org/licenses/by-nc-nd/3.0/es/</dc:rights>
28. <dc:rights>closedAccess</dc:rights>
29. <dc:publisher>The American Phytopathological Society (APS)</dc:publisher>
30. <dc:source>electronico</dc:source>
</oai_dc:dc>