Asparagus stem blight,also known as“asparagus cancer”,is a serious plant disease with a regional distribution.The widespread occurrence of the disease has had a negative impact on the yield and quality of asparagus ...Asparagus stem blight,also known as“asparagus cancer”,is a serious plant disease with a regional distribution.The widespread occurrence of the disease has had a negative impact on the yield and quality of asparagus and has become one of the main problems threatening asparagus production.To improve the ability to accurately identify and localize phenotypic lesions of stem blight in asparagus and to enhance the accuracy of the test,a YOLOv8-CBAM detection algorithm for asparagus stem blight based on YOLOv8 was proposed.The algorithm aims to achieve rapid detection of phenotypic images of asparagus stem blight and to provide effective assistance in the control of asparagus stem blight.To enhance the model’s capacity to capture subtle lesion features,the Convolutional Block AttentionModule(CBAM)is added after C2f in the head.Simultaneously,the original CIoU loss function in YOLOv8 was replaced with the Focal-EIoU loss function,ensuring that the updated loss function emphasizes higher-quality bounding boxes.The YOLOv8-CBAM algorithm can effectively detect asparagus stem blight phenotypic images with a mean average precision(mAP)of 95.51%,which is 0.22%,14.99%,1.77%,and 5.71%higher than the YOLOv5,YOLOv7,YOLOv8,and Mask R-CNN models,respectively.This greatly enhances the efficiency of asparagus growers in identifying asparagus stem blight,aids in improving the prevention and control of asparagus stem blight,and is crucial for the application of computer vision in agriculture.展开更多
Botryosphaeriaceae species are important causal agents of blueberry stem blight worldwide. Blueberry stem blight has become an important disease, potentially affecting the quality and production of blueberries in Chin...Botryosphaeriaceae species are important causal agents of blueberry stem blight worldwide. Blueberry stem blight has become an important disease, potentially affecting the quality and production of blueberries in China. It is difficult and time-consuming to identify at the species level using morphological methods. The aim of this study was to develop polymerase chain reaction（PCR） assays for the diagnosis and early detection of latent infections of blueberry stems by Botryosphaeria spp. Species-specific primers, based on the ribosomal DNA internal transcribed spacer region and β-tubulin gene, were designed and selected for use in PCR assays. Three primer pairs, Lt347-F/R for Lasiodiplodia theobromae, Np304-F/R for Neofusicoccum parvum and FaF/Bt2b for Botryosphaeria dothidea, successfully amplified specific PCR fragments of different sizes on pure cultures or from blueberry stems inoculated and naturally infected blueberry plants with three pathogens, respectively. These primers did not amplify any PCR fragments from other blueberry stem disease-associated pathogens, such as Phomopsis spp. and Pestalotiopsis spp. This PCR protocol could detect as low as 1 00 pg to 1 ng of purified fungal DNA. This PCR-based protocol could be used for the diagnosis and detection of these pathogens from pure cultures or from infected blueberry plants.展开更多
A mixture of six Georgia isolates of Phytophthora capsici (Leon.), the causal agent of phytophthora blight, were used for greenhouse mass screening of over 700 accessions of Capsicum annuum for both stem blight and fo...A mixture of six Georgia isolates of Phytophthora capsici (Leon.), the causal agent of phytophthora blight, were used for greenhouse mass screening of over 700 accessions of Capsicum annuum for both stem blight and foliar blight. From this screening, it was determined that resistance to both forms of the disease were relatively common in the germplasm, but resistance to one form of the disease was not strongly correlated to resistance to the other form. Ten accessions previously shown to possess root rot resistance were tested for resistance to stem rot and leaf blight, and were found to also be highly resistant to these forms of the disease. It appears that single accessions have resistance to foliar, stem and root rot caused by P. capsici, which may simplify breeding for resistance to all three forms of the disease.展开更多
基金supported by the Feicheng Artificial Intelligence Robot and Smart Agriculture Service Platform(381387).
文摘Asparagus stem blight,also known as“asparagus cancer”,is a serious plant disease with a regional distribution.The widespread occurrence of the disease has had a negative impact on the yield and quality of asparagus and has become one of the main problems threatening asparagus production.To improve the ability to accurately identify and localize phenotypic lesions of stem blight in asparagus and to enhance the accuracy of the test,a YOLOv8-CBAM detection algorithm for asparagus stem blight based on YOLOv8 was proposed.The algorithm aims to achieve rapid detection of phenotypic images of asparagus stem blight and to provide effective assistance in the control of asparagus stem blight.To enhance the model’s capacity to capture subtle lesion features,the Convolutional Block AttentionModule(CBAM)is added after C2f in the head.Simultaneously,the original CIoU loss function in YOLOv8 was replaced with the Focal-EIoU loss function,ensuring that the updated loss function emphasizes higher-quality bounding boxes.The YOLOv8-CBAM algorithm can effectively detect asparagus stem blight phenotypic images with a mean average precision(mAP)of 95.51%,which is 0.22%,14.99%,1.77%,and 5.71%higher than the YOLOv5,YOLOv7,YOLOv8,and Mask R-CNN models,respectively.This greatly enhances the efficiency of asparagus growers in identifying asparagus stem blight,aids in improving the prevention and control of asparagus stem blight,and is crucial for the application of computer vision in agriculture.
基金supported financially by the National Natural Science Foundation of China (31301610)
文摘Botryosphaeriaceae species are important causal agents of blueberry stem blight worldwide. Blueberry stem blight has become an important disease, potentially affecting the quality and production of blueberries in China. It is difficult and time-consuming to identify at the species level using morphological methods. The aim of this study was to develop polymerase chain reaction（PCR） assays for the diagnosis and early detection of latent infections of blueberry stems by Botryosphaeria spp. Species-specific primers, based on the ribosomal DNA internal transcribed spacer region and β-tubulin gene, were designed and selected for use in PCR assays. Three primer pairs, Lt347-F/R for Lasiodiplodia theobromae, Np304-F/R for Neofusicoccum parvum and FaF/Bt2b for Botryosphaeria dothidea, successfully amplified specific PCR fragments of different sizes on pure cultures or from blueberry stems inoculated and naturally infected blueberry plants with three pathogens, respectively. These primers did not amplify any PCR fragments from other blueberry stem disease-associated pathogens, such as Phomopsis spp. and Pestalotiopsis spp. This PCR protocol could detect as low as 1 00 pg to 1 ng of purified fungal DNA. This PCR-based protocol could be used for the diagnosis and detection of these pathogens from pure cultures or from infected blueberry plants.
文摘A mixture of six Georgia isolates of Phytophthora capsici (Leon.), the causal agent of phytophthora blight, were used for greenhouse mass screening of over 700 accessions of Capsicum annuum for both stem blight and foliar blight. From this screening, it was determined that resistance to both forms of the disease were relatively common in the germplasm, but resistance to one form of the disease was not strongly correlated to resistance to the other form. Ten accessions previously shown to possess root rot resistance were tested for resistance to stem rot and leaf blight, and were found to also be highly resistant to these forms of the disease. It appears that single accessions have resistance to foliar, stem and root rot caused by P. capsici, which may simplify breeding for resistance to all three forms of the disease.
