Characterization of Alternaria species causing leaf spot on Chinese cabbage in Shanxi province of China

Shi, Xiaojing; Zeng, Kexin; Wang, Xiangyu; Liang, Zhengmin; Wu, Xuehong

doi:10.1007/s42161-020-00740-x

Cited by 8 publications

(6 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The utilization of novel techniques, such as three-dimensional CNNs, facilitates the efficient calculation of spectral-spatial information, potentially leading to increased detection accuracies and an improved robustness to noise. Shi et al (2021) [21] developed a novel CropdocNet where spectral information was initially processed, followed by the processing of spectral-spatial relations in the subsequent layer. This model achieved an impressive accuracy of 98.09% in detecting potato late blight disease.…”

Section: Performance Comparison Between the Models And Limitationsmentioning

confidence: 99%

“…Brassica rapa pekinesis, known as kimchi cabbage, is a crucial agricultural commodity in South Korea because it serves as a primary ingredient in the traditional food, kimchi. However, kimchi cabbage is susceptible to a devastating foliar disease called leaf spot disease, which can cause yield loss and render edible leaves inedible [1]. Leaf spot is a common foliar disease of brassica crops caused by the fungal pathogen Alternaria alternata.…”

Section: Introductionmentioning

confidence: 99%

“…Sensors capable of rapidly and accurately identifying early disease symptoms are highly in demand. In this regard, hyperspectral imaging methods can serve as nondestructive approaches [1,2].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Detection of Black Spot Disease on Kimchi Cabbage Using Hyperspectral Imaging and Machine Learning Techniques

Kuswidiyanto,

Kim,

et al. 2023

Agriculture

View full text Add to dashboard Cite

The cultivation of kimchi cabbage in South Korea has always faced significant challenges due to the looming presence of Alternaria leaf spot (ALS), which is a fungal disease mainly caused by Alternaria alternata. The emergence of black spots resulting from Alternaria infection lowers the quality of the plant, rendering it inedible and unmarketable. The timely identification of this disease is crucial, as it provides essential data enabling swift intervention, thereby localizing the infection throughout the field. Hyperspectral imaging technologies excel in detecting subtle shifts in reflectance values induced by chemical differences within leaf tissues. However, research on the spectral correlation between Alternaria and kimchi cabbage remains relatively scarce. Therefore, this study aims to identify the spectral signature of Alternaria infection on kimchi cabbage and develop an automatic classifier for detecting Alternaria disease symptoms. Alternaria alternata was inoculated on various sizes of kimchi cabbage leaves and observed daily using a hyperspectral imaging system. Datasets were created based on captured hyperspectral images to train four classifier models, including support vector machine (SVM), random forest (RF), one-dimensional convolutional neural network (1D-CNN), and one-dimensional residual network (1D-ResNet). The results suggest that 1D-ResNet outperforms the other models with an overall accuracy of 0.91, whereas SVM, RF, and 1D-CNN achieved 0.80, 0.88, and 0.86, respectively. This study may lay the foundation for future research on high-throughput disease detection, frequently incorporating drones and aerial imagery.

show abstract

Section: Performance Comparison Between the Models And Limitationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Detection of Black Spot Disease on Kimchi Cabbage Using Hyperspectral Imaging and Machine Learning Techniques

Kuswidiyanto,

Kim,

et al. 2023

Agriculture

View full text Add to dashboard Cite

show abstract

“…The contamination of A. alternata has been detected in fruits [ 17 , 18 ], vegetables [ 19 ], cereals, and their products [ 20 , 21 ]. Tomato and its products are one of the critical targets for contamination by Alternaria toxins.…”

Section: Introductionmentioning

confidence: 99%

Crude Lipopeptides Produced by Bacillus amyloliquefaciens Could Control the Growth of Alternaria alternata and Production of Alternaria Toxins in Processing Tomato

Zhang,

Fan,

Dai

et al. 2024

Toxins

View full text Add to dashboard Cite

Alternaria spp. and its toxins are the main contaminants in processing tomato. Based on our earlier research, the current study looked into the anti-fungal capacity of crude lipopeptides from B. amyloliquefaciens XJ-BV2007 against A. alternata. We found that the crude lipopeptides significantly inhibited A. alternata growth and reduced tomato black spot disease incidence. SEM analysis found that the crude lipopeptides could change the morphology of mycelium and spores of A. alternata. Four main Alternaria toxins were detected using UPLC-MS/MS, and the findings demonstrated that the crude lipopeptides could lessen the accumulation of Alternaria toxins in vivo and in vitro. Meanwhile, under the stress of crude lipopeptides, the expression of critical biosynthetic genes responsible for TeA, AOH, and AME was substantially down-regulated. The inhibitory mechanism of the crude lipopeptides was demonstrated to be the disruption of the mycelial structure of A. alternata, as well as the integrity and permeability of the membrane of A. alternata sporocytes. Taken together, crude lipopeptides extracted from B. amyloliquefaciens XJ-BV2007 are an effective biological agent for controlling tomato black spot disease and Alternaria toxins contamination.

show abstract

“…Also, the pathogen contaminates the seeds of moderate resistant species and makes seeds un t for conservation or share with other genebanks (s) due to quarantine requirements. Further, these wild species differ in their climatic requirement, plant stature, leaf shape and size, plant Since different isolates of Alternaria brassicicola cause variable responses during host-pathogen interaction (Shi et al 2021). However, no attempt has been reported to screen the wild relative species against Alternaria brassicicola isolates causing leaf spot and curd blight in cauli ower, particularly in Indian conditions.…”

Section: Introductionmentioning

confidence: 99%

Screening wild Brassica species against Alternaria brassicicola (Schw.) Wiltsh for breeding Alternaria leaf spot resistance in Brassica vegetables

Singh,

Sagar,

Rao

et al. 2023

Genet Resour Crop Evol

View full text Add to dashboard Cite

Alternaria leaf spot (ALS) is a major disease of Brassica crops, and it causes huge economic losses to both the cultivated oilseed-and vegetable-Brassicas . The present study was aimed to develop a non-destructive robust method for screening of wild Brassica species and to nd resistant wild species against Alternaria brassicicola (Schw.) Wiltsh available in the germplasm. For this, 38 wild Brassica species were screened at adult plant stage by an in vitro detached leaf inoculation method in three consecutive years i.e. 2019-20, 2020-21 and 2021-22. The new screening protocol provides favourable environment (temperature 25±2 °C; relative humidity >90%) for the pathogen and retained the host leaves in condition (by placing sucrose 5% w/v in petiolar base) for disease development. The consistency in reactions of the species against A. brassicicola during all three years of testing indicates the robustness of the protocol. Further, the multiple parameters were recorded on leaf condition and disease response of the wild species. Complete resistance was observed in Capsella while resistance in Lepidium , Camelina and Biscutella . Both Capsella bursa pastoris (L.) Medik (early) and C. bursa pastoris (late) were symptomless resistant. Camelina sativa (L.) Crantz, Diplotaxis erucoides (L.) DC and Diplotaxis gomez-campoi Mart.-Laborde were found to be resistant against A. brassicicola . The signi cant correlation between disease parameters indicates the robustness and effectiveness of the screening protocol for wild Brassica species.

show abstract

Characterization of Alternaria species causing leaf spot on Chinese cabbage in Shanxi province of China

Cited by 8 publications

References 39 publications

Detection of Black Spot Disease on Kimchi Cabbage Using Hyperspectral Imaging and Machine Learning Techniques

Detection of Black Spot Disease on Kimchi Cabbage Using Hyperspectral Imaging and Machine Learning Techniques

Crude Lipopeptides Produced by Bacillus amyloliquefaciens Could Control the Growth of Alternaria alternata and Production of Alternaria Toxins in Processing Tomato

Screening wild Brassica species against Alternaria brassicicola (Schw.) Wiltsh for breeding Alternaria leaf spot resistance in Brassica vegetables

Contact Info

Product

Resources

About