Relationships among airborne Cercospora beticola conidia concentration, weather variables and cercospora leaf spot severity in sugar beet (Beta vulgaris L.)

被引:19
作者
Tedford, Sherri L. [1 ]
Burlakoti, Rishi R. [2 ,4 ]
Schaafsma, Arthur W. [1 ]
Trueman, Cheryl L. [3 ]
机构
[1] Univ Guelph, Dept Plant Agr, Ridgetown Campus,120 Main St East, Ridgetown, ON N0P 2C0, Canada
[2] Weather INnovat Consulting LP, Chatham, ON N7L 0B1, Canada
[3] Univ Guelph, Ridgetown Campus,120 Main St East, Ridgetown, ON N0P 2C0, Canada
[4] Agr & Agri Food Canada, Agassiz, BC V0M 1A0, Canada
关键词
Cercospora beticola; Cercospora leaf spot; disease prediction; spore aerobiology; sugar beet; aerobiologie des spores; betterave a sucre; pronostic de la maladie; tache cercosporeenne; INFECTION; IMPACT; FIELD;
D O I
10.1080/07060661.2017.1410726
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Cercospora beticola is the most important pathogen of sugar beet in temperate climates and is the causal agent of Cercospora leaf spot (CLS). The relationships among weather variables, disease severity and the aerial concentration of C. beticola conidia were assessed in 2014 and 2015. Volumetric spore traps were deployed to quantify conidia concentration every 6h in Pain Court (PC) and Ridgetown (RT), Ontario. Mean daily air temperature (AT) and relative humidity (RH) were rarely at optimal levels for CLS development. Conidia were first detected in early May in RT both years and PC in 2015, and in mid-June in PC 2014. CLS symptoms were not observed until 75-91days after the first detection of conidia. Thus, the presence of conidia was not a limiting factor for disease development. Daily conidia concentration peaked (0.83 spores m(-3)) between 12 pm and 6 pm and was lowest (0.34 spores m(-3)) between 12 am and 6 am at all sites, providing evidence of a diurnal effect for airborne C. beticola conidia. A logistic curve explained the relationship between cumulative weekly conidia concentration and CLS severity (R(2)0.93, P<0.0001), but CLS severity associated with levels of conidia accumulation was variable among sites. Mean AT 0h before conidia capture was most influential on aerial conidia concentration compared with other weather variables (R-2=0.11, P<0.0001). Additional research is required to validate the relationship among mean daily AT, airborne C. beticola conidia and CLS epidemics.
引用
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页码:1 / 10
页数:10
相关论文
共 36 条
  • [1] [Anonymous], 2016, CANADIAN CLIMATE NOR
  • [2] Nonlinear Regression Models and Applications in Agricultural Research
    Archontoulis, Sotirios V.
    Miguez, Fernando E.
    [J]. AGRONOMY JOURNAL, 2015, 107 (02) : 786 - 798
  • [3] Battillani P, 1990, INFORMATORE AGRARIO, V46, P53
  • [4] Evaluation of the potential for sexual reproduction in field populations of Cercospora beticola from USA
    Bolton, Melvin D.
    Secor, Gary A.
    Rivera, Viviano
    Weiland, John J.
    Rudolph, Kurt
    Birla, Keshav
    Rengifo, Judith
    Campbell, Larry G.
    [J]. FUNGAL BIOLOGY, 2012, 116 (04) : 511 - 521
  • [5] Draycott P.A, 2006, Sugar Beet
  • [6] Forsyth FR, 1963, SUGAR BEET RES, V14, P319
  • [7] GOTTWALD TR, 1982, PHYTOPATHOLOGY, V72, P330
  • [8] Species concepts in Cercospora: spotting the weeds among the roses
    Groenewald, J. Z.
    Nakashima, C.
    Nishikawa, J.
    Shin, H. -D.
    Park, J. -H.
    Jama, A. N.
    Groenewald, M.
    Braun, U.
    Crous, P. W.
    [J]. STUDIES IN MYCOLOGY, 2013, (75) : 115 - 170
  • [9] Jacobsen BJ., 2009, COMPENDIUM BEET DIS, P7
  • [10] Survival, dispersal, and primary infection site for Cercospora beticola in sugar beet
    Khan, J.
    del Rio, L. E.
    Nelson, R.
    Rivera-Varas, V.
    Secor, G. A.
    Khan, M. F. R.
    [J]. PLANT DISEASE, 2008, 92 (05) : 741 - 745