Innovative Approaches for Detection and Management of Fruit Rot Diseases in Annual Hill Plasticulture Strawberry Production System
dc.contributor.author | Aljawasim, Baker Diwan | en |
dc.contributor.committeechair | Samtani, Jayesh Bharat | en |
dc.contributor.committeemember | Chandel, Abhilash Kumar | en |
dc.contributor.committeemember | Williams, Mark A. | en |
dc.contributor.committeemember | Rahman, Mahfuz | en |
dc.contributor.department | Plant Pathology, Physiology and Weed Science | en |
dc.date.accessioned | 2025-05-10T08:00:49Z | en |
dc.date.available | 2025-05-10T08:00:49Z | en |
dc.date.issued | 2025-05-09 | en |
dc.description.abstract | Fruit rot diseases, including anthracnose fruit rot (AFR) and Botrytis fruit rot (BFR) (grey mold) in strawberries, are caused by the acutatum species complex and Botrytis cinerea, respectively. These diseases present a major challenge to sustainable strawberry production in the United States, impacting both perennial and annual systems globally. The pathogens can survive in the transplants and the soil rhizosphere and later infect the plants. As a first step for disease management, it is crucial to identify plant diseases like AFR in their early stages. In recent years, remote sensing, including multispectral imaging, offers an advanced technological method for the early identification, mapping, and spatial tracking of pest and disease outbreaks. Additionally, anaerobic soil disinfestation (ASD) offers a promising alternative to conventional chemical fumigation techniques. It has proven effective in suppressing various pests, including fungi, bacteria, weeds and nematodes, while also enhancing soil health and crop production. Beneficial bacteria, like Bacillus spp., play a crucial role as biocontrol agents by inhibiting the growth of plant pathogens and promoting plant growth. The first study aimed to develop a new approach that integrates small unmanned aerial vehicles equipped with multispectral imaging (MSI) camera sensors to accurately identify the best vegetation indices (VIs) for the early detection of AFR caused by Colletotrichum nymphaeae and Colletotrichum fioriniae in strawberries. The results indicated that the Chlorophyll Index (CI) and Green Normalized Difference Vegetation Index (GNDVI) had the strongest correlations with AFR disease severity (%) and showed the most significant differences among all the VIs and reflectance values when distinguishing between infected and healthy plants across the two growing seasons. They consistently correlated with AFR disease severity during the early stages of fruit development. Furthermore, the notably lower reflection of CI values in C. nymphaeae-infected plants, compared to those infected with C. fioriniae and healthy plants, highlights the potential for differentiating between the two subspecies within the C. acutatum species complex. This approach could be a promising tool to monitor the severity of AFR disease infestations using field maps and drones to apply appropriate management techniques. The second study aimed to assess how ASD, beneficial bacteria, and their combinations could help reduce fruit rot diseases in strawberries, manage weeds, and improve crop yield and postharvest fruit quality. The results showed that ASD treatment significantly lowered the biomass of diseased fruits including AFR and BFR compared to the non-fumigated and Pic-Clor 60 fumigation treatments. Post-plant treatments that included B. velezensis IALR619, TerraGrow, and Oxidate 5.0 + TerraGrow led to a reduction in AFR compared to the non-inoculated treatment in the first growing season. The ASD and Pic-Clor 60 treatments resulted in a lower weed density in the strawberry planting holes compared to the non-fumigated control. The ASD treatment improved fruit firmness, total soluble solids (TSS), and the pH of fruit juice when compared to Pic-Clor 60 fumigation but reduced marketable and total yield. Our findings show that ASD and beneficial microbes have potential use for managing fruit rot diseases in organic farms, small farms, and limited resource growers. | en |
dc.description.abstractgeneral | Strawberries are a globally popular and nutritious fruit, but they face threats from fruit rot diseases such as anthracnose fruit rot (AFR) and Botrytis fruit rot (BFR). These diseases, caused by harmful fungi, can easily spread through soil and plant transplants, posing a significant challenge for farmers. Early detection is crucial for managing outbreaks, minimizing the reliance on chemical sprays, and preventing crop losses. For early detection of AFR diseases, we have investigated the use of drone technology equipped with specialized cameras capable of detecting changes in plant health. The study revealed that certain vegetation indices (which measure plant chlorophyll) were particularly effective in identifying AFR in strawberries at an early stage. This approach enables farmers to utilize drone-generated field maps to monitor infections and take proactive measures before the disease can spread further. Another aspect of the research examined eco-friendly strategies for managing soil pests and diseases. Many small farms and organic growers steer clear of chemical fumigants due to health, environmental, or regulatory issues. A nonchemical alternative method known as anaerobic soil disinfestation (ASD) was tested, along with beneficial bacteria that naturally protect plants. The results indicated that ASD significantly reduced fruit rot diseases, suppressed weeds, and enhanced the quality of strawberries. Additionally, beneficial microbes like Bacillus velezensis contributed to controlling AFR while improving fruit firmness and sweetness. In summary, this research showcases innovative approaches for sustainable strawberry farming. By integrating drone-based disease detection with natural soil treatments, growers can more effectively manage fruit rot, decrease chemical usage, and cultivate healthier, higher-quality strawberries. These methods could serve as an effective strategy for controlling plant diseases, particularly for organic growers, small farms, those with limited resources, or growers facing pest challenges in buffer areas before transplanting strawberry. | en |
dc.description.degree | Doctor of Philosophy | en |
dc.format.medium | ETD | en |
dc.identifier.other | vt_gsexam:42906 | en |
dc.identifier.uri | https://hdl.handle.net/10919/131416 | en |
dc.language.iso | en | en |
dc.publisher | Virginia Tech | en |
dc.rights | In Copyright | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.subject | anthracnose fruit rot | en |
dc.subject | disease stress | en |
dc.subject | remote sensing | en |
dc.subject | aerial multispectral sensing | en |
dc.subject | small unmanned aerial vehicle (UAVs) | en |
dc.subject | vegetation indices (VIs) | en |
dc.subject | anaerobic soil disinfestation | en |
dc.subject | brewer's spent grain | en |
dc.subject | beneficial microbes | en |
dc.subject | Bacillus spp. | en |
dc.subject | fumigation a | en |
dc.title | Innovative Approaches for Detection and Management of Fruit Rot Diseases in Annual Hill Plasticulture Strawberry Production System | en |
dc.type | Dissertation | en |
thesis.degree.discipline | Plant Pathology, Physiology and Weed Science | en |
thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
thesis.degree.level | doctoral | en |
thesis.degree.name | Doctor of Philosophy | en |
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