ABSTRACT
Fungicide programs for managing target spot of cotton caused by Corynespora cassiicola were evaluated over 15 site-years in the southeastern United States between 2014 and 2016. Two cultivars, hypothesized to vary in target spot susceptibility, PhytoGen 499WRF (PHY499) and Deltapine 1137B2RF (DPL1137), and four fungicides (azoxystrobin, flutriafol, pyraclostrobin, pyraclostrobin + fluxapyroxad) plus nontreated control, were compared. Fungicide programs consisted of 1) a single application at first flower or disease onset and 2) the first application followed by a second 14 days later. Treatments were applied in a factorial, randomized complete block design. Target spot onset and severity varied among site-years. Except when severity was low, target spot-associated defoliation was greater on PHY499 than on DP1137. Fungicides delayed disease development and defoliation, but application number had little impact. Based on a meta-analysis of 15 site-years, pyraclostrobin-based applications resulted in a 4 to 6% yield preservation, and yield preservation was greater at site-years with early disease onset and >40% target spot associated defoliation. Results suggest a single well-timed application of a pyraclostrobin-based fungicide reduces defoliation and protects cotton yield at locations with high target spot severity. Additional research is needed to identify risk factors for target spot-associated yield losses in cotton production systems.
Subject(s)
Ascomycota , Fungicides, Industrial , Gossypium , Plant Diseases , Southeastern United StatesABSTRACT
From 2013 to 2014, bacterial leaf spot epidemics incited by Pseudomonas syringae pv. syringae affected an estimated 3,000 ha of watermelon and squash in Florida, and caused foliar blighting and transplant losses in severely affected fields. To investigate the diversity of the causal agent, we isolated 28 P. syringae strains from diseased plants grown in 10 Florida and Georgia counties over the course of 2 years. Strains were confirmed as P. syringae through sequence analysis of the 16S ribosomal RNA, phenotypic, and biochemical profiling; however, 20 displayed an atypical phenotype by exhibiting nonfluorescent activity on King's medium B agar and being negative for ice-nucleating activity. Multilocus sequence analysis and BOX polymerase chain reaction revealed the presence of two haplotypes among the collected strains that grouped into two distinct clades within P. syringae phylogroup 2. Pathogenicity testing showed that watermelon, cantaloupe, and squash seedlings were susceptible to a majority of these strains. Although both haplotypes were equally virulent on cantaloupe, they differed in virulence on watermelon and squash. The distribution of one haplotype in 9 of 10 Florida and Georgia counties sampled indicated that these epidemics were associated with the recent introduction of a novel clonal P. syringae lineage throughout major watermelon production areas in Florida.
Subject(s)
Citrullus/microbiology , Cucurbita/microbiology , Molecular Epidemiology , Plant Diseases/microbiology , Pseudomonas syringae/isolation & purification , DNA, Bacterial/chemistry , DNA, Bacterial/genetics , DNA, Ribosomal/chemistry , DNA, Ribosomal/genetics , Florida , Multilocus Sequence Typing , Phenotype , Phylogeny , Plant Diseases/statistics & numerical data , Plant Leaves/microbiology , Polymerase Chain Reaction , Pseudomonas syringae/genetics , Pseudomonas syringae/pathogenicity , RNA, Ribosomal, 16S/genetics , VirulenceABSTRACT
Bacterial leaf spot of watermelon caused by Pseudomonas syringae has been an emerging disease in the southeastern United States in recent years. Disease outbreaks in Florida were widespread from 2013 to 2014 and resulted in foliar blighting at the early stages of the crop and transplant losses. We conducted a series of field trials at two locations over the course of two years to examine the chemical control options that may be effective in management of this disease, and to investigate the environmental conditions conducive for bacterial leaf spot development. Weekly applications of acibenzolar-S-methyl (ASM) foliar, ASM drip, or copper hydroxide mixed with ethylene bis-dithiocarbamate were effective in reducing the standardized area under the disease progress curve (P < 0.05). Pearson's correlation test demonstrated a negative relationship between the average weekly temperature and disease severity (-0.77, P = 0.0002). When incorporated into a multiple regression model with the square root transformed average weekly rainfall, these two variables accounted for 71% of the variability observed in the weekly disease severity (P < 0.0001). This information should be considered when choosing the planting date for watermelon seedlings as the cool conditions often encountered early in the spring season are conducive for bacterial leaf spot development.
ABSTRACT
Since 2003, growers of Florida watermelon [Citrullus lanatus (Thunb.) Matsum. and Nakai] have periodically suffered large losses from a disease caused by Squash vein yellowing virus (SqVYV), which is transmitted by the whitefly Middle East-Asia Minor 1 (MEAM1), formerly Bemisia tabaci (Gennadius) biotype B. Common cucurbit weeds like balsam apple (Momordica charantia L.) and smellmelon [Cucumis melo var. dudaim (L.) Naud.] are natural hosts of SqVYV, and creeping cucumber (Melothria pendula L.) is an experimental host. Study objectives were to compare these weeds and 'Mickylee' watermelon as sources of inoculum for SqVYV via MEAM1 transmission, to determine weed susceptibility to SqVYV, and to evaluate whitefly settling and oviposition behaviors on infected vs. mock-inoculated (inoculated with buffer only) creeping cucumber leaves. We found that the lowest percentage of watermelon recipient plants was infected when balsam apple was used as a source of inoculum. Watermelon was more susceptible to infection than balsam apple or smellmelon. However, all weed species were equally susceptible to SqVYV when inoculated by whitefly. For the first 5 h after release, whiteflies had no preference to settle on infected vs. mock-inoculated creeping cucumber leaves. After 24 h, whiteflies preferred to settle on mock-inoculated leaves, and more eggs were laid on mock-inoculated creeping cucumber leaves than on SqVYV-infected leaves. The transmission experiments (source of inoculum and susceptibility) show these weed species as potential inoculum sources of the virus. The changing settling preference of whiteflies from infected to mock-inoculated plants could lead to rapid spread of virus in the agroecosystem.
Subject(s)
Cucurbitaceae/virology , Hemiptera/physiology , Hemiptera/virology , Plant Diseases/virology , Potyviridae/physiology , Animals , Herbivory , Oviposition , Plant Weeds/virologyABSTRACT
Global climate change will have effects on diurnal temperature oscillations as well as on average temperatures. Studies on potato late blight (Phytophthora infestans) development have not considered daily temperature oscillations. We hypothesize that growth and development rates of P. infestans would be less influenced by change in average temperature as the magnitude of fluctuations in daily temperatures increases. We investigated the effects of seven constant (10, 12, 15, 17, 20, 23, and 27°C) and diurnally oscillating (±5 and ±10°C) temperatures around the same means on number of lesions, incubation period, latent period, radial lesion growth rate, and sporulation intensity on detached potato leaves inoculated with two P. infestans isolates from clonal lineages US-8 and US-23. A four-parameter thermodynamic model was used to describe relationships between temperature and disease development measurements. Incubation and latency progression accelerated with increasing oscillations at low mean temperatures but slowed down with increasing oscillations at high mean temperatures (P < 0.005), as hypothesized. Infection efficiency, lesion growth rate, and sporulation increased under small temperature oscillations compared with constant temperatures but decreased when temperature oscillations were large. Thus, diurnal amplitude in temperature should be considered in models of potato late blight, particularly when predicting effects of global climate change on disease development.
Subject(s)
Models, Statistical , Phytophthora infestans/physiology , Plant Diseases/statistics & numerical data , Solanum tuberosum/microbiology , Circadian Rhythm , Climate Change , Plant Diseases/microbiology , Plant Leaves/microbiology , TemperatureABSTRACT
Existing crop monitoring programs determine the incidence and distribution of plant diseases and pathogens and assess the damage caused within a crop production region. These programs have traditionally used observed or predicted disease and pathogen data and environmental information to prescribe management practices that minimize crop loss. Monitoring programs are especially important for crops with broad geographic distribution or for diseases that can cause rapid and great economic losses. Successful monitoring programs have been developed for several plant diseases, including downy mildew of cucurbits, Fusarium head blight of wheat, potato late blight, and rusts of cereal crops. A recent example of a successful disease-monitoring program for an economically important crop is the soybean rust (SBR) monitoring effort within North America. SBR, caused by the fungus Phakopsora pachyrhizi, was first identified in the continental United States in November 2004. SBR causes moderate to severe yield losses globally. The fungus produces foliar lesions on soybean (Glycine max) and other legume hosts. P. pachyrhizi diverts nutrients from the host to its own growth and reproduction. The lesions also reduce photosynthetic area. Uredinia rupture the host epidermis and diminish stomatal regulation of transpiration to cause tissue desiccation and premature defoliation. Severe soybean yield losses can occur if plants defoliate during the mid-reproductive growth stages. The rapid response to the threat of SBR in North America resulted in an unprecedented amount of information dissemination and the development of a real-time, publicly available monitoring and prediction system known as the Soybean Rust-Pest Information Platform for Extension and Education (SBR-PIPE). The objectives of this article are (i) to highlight the successful response effort to SBR in North America, and (ii) to introduce researchers to the quantity and type of data generated by SBR-PIPE. Data from this system may now be used to answer questions about the biology, ecology, and epidemiology of an important pathogen and disease of soybean.
ABSTRACT
Brassica carinata A. Braun, commonly referred to as Ethiopian rapeseed, a near relative of collards and mustard, has become the object of increasing interest as an oil crop. It has been reported that B. carinata adapts better and is more productive than B. napus (canola) in adverse conditions, such as clay and sandy soils and under low management cropping systems (1). In late February 2012, symptoms typical of sclerotinia stem rot were observed in B. carinata trials (cultivars 090867 EM and 080814 EM) at the University of Florida, North Florida Research and Education Center located in Quincy, FL. Approximately 20 to 30% of the B. carinata cultivar 090867 EM were observed to have symptoms and approximately 5% of cultivar 080814 EM displayed symptoms. Stems had white mycelia growing on the outside, plants were lodging and spherical to cylindrical, 3 to 8 mm, and black sclerotia were found outside and inside bleached stems. Sclerotia from diseased stems were surface sterilized and placed in 9-cm diameter petri plates on quarter strength potato dextrose agar (PDA) amended with 25% lactic acid. Fungal cultures consisting of white mycelia and medium-sized (mean 4 mm), black, irregular sclerotia were consistently recovered and identified as Sclerotinia sclerotiorum (Lib.) de Bary based on morphological characteristics (3). Sequence analyses were conducted on mycelium by extracting fungal DNA with the Qiagen DNeasy Plant Mini Kit (Valencia, CA). PCR amplification was performed using primers ITS1 and ITS4. The BLAST search revealed that the sequence (GenBank Accession No. JX307092) had 99 and 100% sequence identity with S. sclerotiorum GenBank accessions JN013184.1 and JN012606.1. Pathogenicity was determined by inoculating six 1-month-old B. carinata plants (cultivars 090867 EM and 080814 EM) that were grown in greenhouse pots (20 cm in diameter). Mycelia plugs (8 mm in diameter) were excised from the colony margin after 6 days of incubation at room temperature (approximately 25°C), and placed on stems, at the soil line, of B. carinata plants. Six control plants were inoculated with noncolonized PDA plugs. All plants were enclosed in plastic bags that had been sprayed with water on the inside to maintain high humidity and kept in the laboratory at room temperature (approximately 25°C). Symptoms similar to those observed in the field were evident after 3 days on inoculated plants and S. sclerotiorum was reisolated. In the controls, no symptoms developed and the fungus could not be isolated. The experiment was repeated with similar results. The majority of rapeseed production is in North Dakota, where sclerotinia stem rot caused by S. sclerotiorum is a major fungal disease affecting production (2). Currently, there is no significant B. carinata production in Florida; however, interest in biofuels could lead to an increase in planted acreage and sclerotinia stem rot could become a significant disease problem in areas of Florida were B. carinata is planted. To our knowledge, this is the first report of sclerotinia stem rot of B. carinata caused by S. sclerotiorum in Florida. References: (1) M. Cardone et al. Biomass and Bioenergy. 25:623, 2003. (2) L. E. del Río et al. Plant Dis. 91:191, 2007. (3) L. M. Kohn. Phytopathology 69:881, 1979.
ABSTRACT
Urediniospores of Phakopsora pachyrhizi, the soybean rust fungus, have a high probability of being removed from a soybean leaf by water runoff associated with subsequent rainfall after wet deposition. The effects of rainfall intensity, subsequent spore-free rainfall duration, and soybean leaf sample height on uredinia density were used to evaluate the retention of urediniospores on soybean leaf tissue. Rainfall simulations of 45 and 85 mm/h were conducted on potted soybean plants that were inoculated with 2 min of urediniospore-injected simulated rainfall and exposed to 0, 1, and 30 min of subsequent spore-free rainfall. Urediniospore retention was estimated using uredinia density values obtained from a detached leaf bioassay for the sample heights of soil level, mid-canopy, and upper-canopy. Soil level leaflets inoculated with the 45 mm/h rainfall intensity treatment had a higher (P < 0.01) mean number of uredinia/cm2 than the 85 mm/h treatment, even though they were inoculated with approximately 40% fewer urediniospores. Subsequent spore-free rainfall reduced (P < 0.01) uredinia density by as much as 38 and 91% for the 1- and 30-min durations, respectively. The relationship between uredinia density proportion and depth of rainfall was best fit using an inverse power empirical model. Our results indicate that a majority of the wet deposited P. pachyrhizi urediniospores would be removed from soybean leaf surfaces by subsequent rainfall, but sufficient percentages of spores (10 to 25%) will likely remain on the leaf tissue long enough to germinate and infect during heavy summer rains lasting ≥30 min.
ABSTRACT
Soybean rust, caused by Phakopsora pachyrhizi, may be the most important foliar disease of soybean. Within the last 10 years, the fungus has moved to many new geographical locations via spread of airborne urediniospores. The objective of this study was to determine the relationship between urediniospore viability and exposure to solar radiation. Urediniospores of P. pachyrhizi were exposed in Capitán Miranda, Paraguay, to determine the deleterious effects of sunlight. Concomitant total solar (0.285 to 2.8 µm) and ultraviolet (0.295 to 0.385 µm) irradiance measurements were used to predict urediniospore germination. Urediniospores exposed to doses of solar and ultraviolet (UV) radiation ≥27.3 MJ/m2 and ≥1.2 MJ/m2, respectively, did not germinate. The proportions of urediniospores that germinated, normalized with respect to the germination proportion for unexposed urediniospores from the same collections, were a linear function of solar irradiance (R2 = 0.83). UV measurements predicted normalized germination proportions equally well. Results of inoculation experiments with exposed P. pachyrhizi urediniospores supported the results of the germination trials, although the effects of moderate levels of irradiance varied. The relationship between urediniospore viability and exposure to solar radiation has been incorporated into the U.S. Department of Agriculture's soybean rust aerobiological model that provides North American soybean growers with decision support for managing soybean rust.
ABSTRACT
Fusarium graminearum (teleomorph Gibberella zeae) is the most common pathogen of Fusarium head blight (FHB) in North America. Ascospores released from the perithecia of G. zeae are a major source of inoculum for FHB. The influence of temperature and moisture on perithecial production and development was evaluated by monitoring autoclaved inoculated cornstalk sections in controlled environments. Perithecial development was assessed at all combinations of five temperatures (12, 16, 20, 24, and 28°C) and four moisture levels with means (range) -0.45 (-0.18, -1.16), -1.30 (-0.81, -1.68), -2.36 (-1.34, -3.53) and -4.02 (-2.39, -5.88) MPa. Moisture levels of -0.45 and -1.30 MPa and temperatures from 16 to 24°C promoted perithecial production and development. Temperatures of 12 and 28°C and moisture levels of -2.36 and -4.02 MPa either slowed or limited perithecial production and development. The water potential of -1.30 MPa had mature perithecia after 10 days at 20°C, but not until after 15 days for 24°C. In contrast, few perithecia achieved maturity and produced ascospores at lower moisture levels (-2.36 and -4.02 MPa) and low (12°C) and high (28°C) temperatures. In the future, it may be possible to use the information gathered in these experiments to improve the accuracy of FHB forecasting systems.