scholarly journals Climatic risk for potato late blight in the Andes region of Venezuela

2008 ◽  
Vol 65 (spe) ◽  
pp. 32-39 ◽  
Author(s):  
Beatriz Ibet Lozada Garcia ◽  
Paulo Cesar Sentelhas ◽  
Luciano Roberto Tapia ◽  
Gerd Sparovek

Potato is an important crop for Venezuelan agriculture. However, its production is highly affected by late blight (Phytophtora infestans), since weather is commonly favorable for this disease. The aim of this study was to determine the sowing dates of low climatic risk for potato late blight in the Andes region of Venezuela, with an agrometeorological disease model and geographical information system (GIS) tools. The disease model used in this study was developed by Hyre (1954) which requires daily rainfall and temperature data which were obtained from 106 weather stations, located at the States of Mérida, Táchira, and Trujillo, for a period of 31 years. Hyre's model was applied for all stations obtainig the following variables: number of disease favorable days (DFD); number of periods with ten consecutive favorable days, named disease occurrence (O); and number of sprays required for disease control (S). These variables were used to calculate the Maximum Risk Index (MRI) and the Probable Risk Index (PRI). The interpolation of these indexes was used to generate maps of climatic risk for each sowing date. MRI and PRI maps showed that the highest climatic risk for potato late blight occurrence was during the rainy season, from May to July, decreasing during dry and mid seasons. However, high disease risk variability was observed for all seasons. The maps generated by coupling an agrometeorological disease model and GIS also show that in great part of potato areas of Andes region the number of sprays could be reduced, but more investigations about that must be carried out.

Author(s):  
Andrei FLEȘERIU ◽  
Ioan OROIAN ◽  
Ioan BRAȘOVEAN ◽  
Constantin MIHAI - OROIAN ◽  
Daniela BORDEA

The aim of our study was to elaborate a system of risk analyse against Phytophtora infestans  (Mont) de Bary attack degree in potato, in connection with climatic factors, in Transylvanian Plane. The risk assessment for potato late blight attack was conducted in tree experimental points located in the counties of Transylvanian Plane: Alba, Cluj, and Mureș. The data were statistically processed using STATISTICA v. 7.0 programme. The analyse of phytosanitary risk assessment consisted in three stages: initiation of the risk assessment, evaluation of the risk analyse, and risk management. Initiation of the risk assessment and evaluation of the ris analyses were performed. The risk management against Phytophtora infestans (Mont) de Bary attack degree in potato initiated involves treatment strategies, using environmentally friendly products, combined to culture appropriate works and strategies, as culture rotations, disinfestations of equipments, and appropriate storage of tubers used for seeding.


2009 ◽  
Vol 149 (3-4) ◽  
pp. 419-430 ◽  
Author(s):  
P. Skelsey ◽  
G.J.T. Kessel ◽  
A.A.M. Holtslag ◽  
A.F. Moene ◽  
W. van der Werf

2005 ◽  
Vol 15 (3) ◽  
pp. 510-518 ◽  
Author(s):  
Kathleen M. Baker ◽  
William W. Kirk ◽  
Jeffrey M. Stein ◽  
Jeffrey A. Andresen

Concern in the agricultural community over observed and projected climate change has prompted numerous studies on the possible implications for crop yields. However, relatively little work has focused on disease management. In the upper Great Lakes region of the United States, late blight (Phytophthora infestans) of potato (Solanum tuberosum) is a temporally sporadic disease, occurring only when microclimate conditions within the canopy are favorable and inoculum is present. This and other studies indicate that historical climatological trends in the upper Great Lakes region have resulted in warmer and wetter growing season conditions, as well as local increases in precipitation totals and in the frequency of days with precipitation. Consequently, the risk of potato late blight is increasing. Historical trends in hourly weather variables and potato late blight risk as expressed by a modified Wallin disease severity value index were analyzed at seven regional weather stations from 1948–99. All sites showed significant trends in at least one of the risk estimates. While late blight risk was greatest at all locations in August, periods of increasing risk occurred across the region particularly during July. The increases in disease risk appeared to be associated with upward trends in dry bulb and dew point temperature at nearly all of the stations, especially during July and August. Increased risk of potato late blight has implications for extension agents and commercial horticulturists that include increased emphasis on grower education and application of integrated disease management techniques.


2021 ◽  
Author(s):  
Mladen Cucak ◽  
Rafael de Andrade Moral ◽  
Rowan Fealy ◽  
Keith Lambkin ◽  
Steven Kildea

Potato late blight remains the most significant disease threat of potato cultivation globally, often requiring expensive, time-consuming and environmentally unfriendly approaches to disease management. The goal of this research was to evaluate whether an estimation of potato late blight risk based on environmental factors can be reliably used to adjust the standard potato late blight management practices and the role of cultivar resistance under growing conditions and contemporary Phytophthora infestans populations in the Republic of Ireland. Using the modified Irish Rules model, it was possible to reduce fungicide usage by 58.7% on average, compared to current standard practices used by growers and without adversely compromising disease control and yield, with similar results achieved by the half dose programme. Host resistance levels were found to be correlated with a delay in the initiation of the epidemics, final foliar disease levels and reduction of fungicide usage. Disease levels on the highly resistant cultivars remained low and a clear selection pattern towards the P. infestans genotypes EU_13_A2 and EU_6_A1 was observed. An increase in the frequency of strains belonging to genotypes EU_13_A2 and EU_6_A1 was also observed to occur in the latter part of the trial growing seasons. Due to the increasingly dynamic nature of the population structure, associated with the continued evolution of the P. infestans population and the arrival of EU_36_A2 in the Republic of Ireland, routine population monitoring is required to ensure that potato late blight control strategies remain effective.


2004 ◽  
Vol 57 ◽  
pp. 25-29 ◽  
Author(s):  
W.R. Henshall ◽  
R.M Beresford

Current management of potato late blight (caused by Phytophthora infestans) in the Pukekohe district is by frequent application of fungicides but consumer concerns over chemical use may require more accurate targeting of spray applications to times of greatest disease risk Decision support systems incorporating potato late blight infection models have the potential to assist growers in modifying management practices Outputs of two overseas models and one developed locally were compared using data from two weather stations at Pukekohe (severe late blight area) and Lincoln (low disease risk) over the 2003/04 growing season Two of the models were too sensitive for Pukekohe conditions but the Smith model developed in the United Kingdom gave usable results No attempt was made to verify the performance of the models under field conditions


2006 ◽  
Vol 59 ◽  
pp. 150-154 ◽  
Author(s):  
W.R. Henshall ◽  
D. Shtienberg ◽  
R.M. Beresford

There are numerous disease prediction models for potato late blight based on recognition of weather conditions suitable for infection The models have the potential to target fungicide application to times of greatest need with a consequent reduction in chemical use The HartillYoung late blight model was developed about 20 years ago from disease and weather data recorded at the Pukekohe Research Station This paper presents the more sophisticated Shtienberg model which was developed recently from the same data but which treats components of the disease process separately The outputs of the HartillYoung and Shtienberg models and the established Fry model were analysed for the same input weather data at Pukekohe (high disease risk area) and Lincoln (low risk) over the last five growing seasons The Shtienberg model gave broadly similar results to the other two models


2018 ◽  
Vol 34 (6) ◽  
pp. 4-11
Author(s):  
V.K. Chizhik ◽  
◽  
E.A. Sokolova ◽  
V.V. Martynov ◽  
M.A. Kuznetsova ◽  
...  

2003 ◽  
Vol 72 (1) ◽  
pp. 31-41 ◽  
Author(s):  
Gerd Dercon ◽  
Jozef Deckers ◽  
Gerard Govers ◽  
Jean Poesen ◽  
Henrry Sánchez ◽  
...  

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