Effects of Genotype and Isolate on Expression of Dollar Spot in Seashore Paspalum

Steketee, Clinton J.; Martínez-Espinoza, Alfredo D.; Harris‐Shultz, Karen; Henry, Gerald M.; Raymer, Paul L.

doi:10.21273/hortsci.51.1.67

Cited by 11 publications

(13 citation statements)

References 17 publications

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“…This study, conducted under more controlled environmental conditions in growth room and greenhouse settings, although with only two isolates, corroborates the results of field trials conducted by Steketee et al (2016) in that we also found no interactive effect between seashore paspalum genotypes and dollar spot isolates. Chakraborty et al (2006) found no interaction between genotypes of creeping bentgrass ( Agrostis stolonifera L.) and dollar spot isolates.…”

Section: Resultssupporting

confidence: 91%

Section: Inoculation and Data Collectionsupporting

confidence: 88%

“…Interestingly, the more virulent isolate in the current study, UF0402, was collected from common bermudagrass, not from seashore paspalum. In contrast, the most virulent isolate in the Steketee et al (2016) study was collected from seashore paspalum, relative to four other isolates collected from another seashore paspalum, zoysiagrass ( Zoysia japonica Steudel), common bermudagrass, and creeping bentgrass.…”

Section: Resultsmentioning

confidence: 85%

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Response of Seashore Paspalum Genotypes to Two Isolates of Sclerotinia homoeocarpa

Benda

Flor

Harmon

et al. 2017

Intl Turfgrass Soc Res J

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Seashore paspalum (Paspalum vaginatum Schwartz) is a warm‐season turfgrass noted for its salt tolerance and is used on golf course fairways and greens. Dollar spot (Sclerotinia homoeocarpa F.T. Benn.) is an important disease of seashore paspalum, causing distinct silver dollar‐sized necrotic patches to form on the turf. Previous research by Flor et al. (2013) identified host plant resistance as a potential tool for dollar spot disease management using a single dollar spot isolate, UF0421. However, another isolate appeared more virulent in follow‐up experiments. With the intent of developing stronger selection pressure, disease response to these two characterized S. homoeocarpa isolates was compared in the current study under controlled environmental conditions using nine experimental lines of seashore paspalum and two commercial cultivars (‘SeaDwarf’ and ‘Sea Isle Supreme’) as controls. The second, putatively more virulent isolate consistently caused more damage to all 11 paspalum genotypes. An isolate × genotype interaction was not observed. Plant genotypes differed significantly in disease response, and all genotypes but one were consistent with the previous study. We successfully identified a more virulent strain of dollar spot. Using a more virulent strain will provide stronger selection pressure for development of resistance to dollar spot, allowing for clearer identification of resistant genotypes.

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Section: Resultssupporting

confidence: 91%

Section: Inoculation and Data Collectionsupporting

confidence: 88%

Section: Resultsmentioning

confidence: 85%

See 1 more Smart Citation

Response of Seashore Paspalum Genotypes to Two Isolates of Sclerotinia homoeocarpa

Benda

Flor

Harmon

et al. 2017

Intl Turfgrass Soc Res J

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“…To our knowledge, these UDB cultivars have not been evaluated for resistance to foliar diseases; however, another study demonstrated an increased leaf spot susceptibility of FloraDwarf compared with TifEagle and Tifdwarf cultivars (Brecht et al, 2007). Results of this study, together with previous studies, indicate that variation in disease resistance likely exists among modern UDB cultivars (Bonos et al, 2003; Brecht et al, 2007; Bonos and Weibel, 2008; Tomaso‐Peterson and Young, 2010; Steketee et al, 2016). Consequently, a thorough disease resistance assessment among UDB cultivars is warranted.…”

Section: Discussionsupporting

confidence: 72%

“…Host resistant cultivar selection has been demonstrated in many host‐pathogen interactions; however, the usefulness of this approach is dependent on the availability of host resistance to a particular disease (Couch, 1995; Brecht et al, 2007; Bonos and Weibel, 2008; Tomaso‐Peterson and Young, 2010; Watschke et al, 2013). Research of host resistance to turfgrass diseases among UDB cultivars is limited; however, studies in other cool‐ and warm‐season turfgrass species provide a basis for such investigations (Bonos et al, 2003; Brecht et al, 2007; Bonos and Weibel, 2008; Tomaso‐Peterson and Young, 2010; Steketee et al, 2016).…”

mentioning

confidence: 99%

Cultivar Selection, Cultural Management Practice, and Fungicide Application Influence Leaf Spot and Dollar Spot on Ultradwarf Bermudagrass

Vines

Allen

DuBien

et al. 2017

Crop Forage & Turfgrass Mgmt

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Core Ideas Ultradwarf bermudagrass cultivars show different susceptibility to foliar diseases. Cultural management practices have different effects on foliar diseases. Seasonal fungicide applications adequately controlled leaf spot and dollar spot. In the southern United States, putting greens are commonly grassed with an ultradwarf bermudagrass (UDB) [Cynodon dactylon (L.) Pers. × C. transvaalensis Burtt‐Davy] cultivar. However, these turfgrasses generate profuse amounts of thatch, which leads to increased pressure of diseases such as leaf spot, caused by Bipolaris cynodontis (Marignoni) Shoemaker, and dollar spot, caused by Sclerotinia homoeocarpa F.T. Bennett. This 2‐yr field study evaluated the effects of (i) cultivar selection (‘Champion’ and ‘MiniVerde’ UDB cultivars), (ii) cultural management practice (standard weekly applications of vertical mow [VM]; weekly applications of VM with once monthly substitutions of slice, spike, and scarify practices; and once monthly applications of slice, spike, and scarify practices alone), and (iii) fungicide application (application of fungicide and no application of fungicide) on leaf spot and dollar spot of UDB putting green turf. Leaf spot severity (LSS) was assessed by a visual estimation of percent symptomatic turf area (0–100%). Dollar spot incidence (DSI) was assessed as the number of dollar spot foci present. At most rating periods during active infection, MiniVerde had reduced LSS and DSI compared with Champion. Standard VM practices resulted in the greatest LSS and DSI. Once monthly substitutions of spike and scarify practices in weekly VM regimes reduced LSS and DSI compared with standard VM practices. The least LSS and DSI were observed with once monthly applications of alternative slice, spike, and scarify practices. Applications of fungicides reduced LSS and DSI compared with no application of fungicides.

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Leveraging deep learning for dollar spot detection and quantification in turfgrass

Kitchin,

Sneed,

McCall

2024

Crop Science

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This study evaluates the effectiveness of fine‐tuning a semantic segmentation model to identify and quantify dollar spot in turfgrasses, the most extensively managed and researched disease of turfgrasses worldwide. Using the DeepLabV3+ model, recognized for its capability to segment complex shapes and integrate multi‐scale contextual information, the research leveraged a diverse dataset comprising various turfgrass species, disease stages, and lighting conditions to ensure robust model training. The trained model is able to identify and segment disease instances accurately and precisely, and the results indicate the potential for model‐based assessment to outperform traditional visual assessment methods in speed, accuracy, and consistency. The development of deep learning models on extensive datasets like ImageNet requires significant computational resources. However, by fine‐tuning a pretrained semantic segmentation model, we adapted it for disease segmentation using only a standard personal computer's graphics processing unit. This approach not only conserves resources but also highlights the practicality of deploying advanced deep learning applications in turfgrass pathology with limited computational capacity. The proposed model provides a new tool for turfgrass researchers and professionals to rapidly and accurately quantify this important disease under real‐world growing conditions. Additionally, the findings suggest the potential to apply deep learning algorithms to other turfgrass diseases to support data‐driven decisions. This could enhance disease management practices and improve decision‐making processes for fungicidal treatments, thereby improving the economic and environmental sustainability of turfgrass management.

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Effects of Genotype and Isolate on Expression of Dollar Spot in Seashore Paspalum

Cited by 11 publications

References 17 publications

Response of Seashore Paspalum Genotypes to Two Isolates of Sclerotinia homoeocarpa

Response of Seashore Paspalum Genotypes to Two Isolates of Sclerotinia homoeocarpa

Cultivar Selection, Cultural Management Practice, and Fungicide Application Influence Leaf Spot and Dollar Spot on Ultradwarf Bermudagrass

Leveraging deep learning for dollar spot detection and quantification in turfgrass

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