Genomic Designing for Biotic Stress Resistant Peanut

Bera, SK; Rani, Kirti; Kamdar, J. H.; Pandey, Manish K.; Desmae, Haile; Holbrook, C. Corley; Burow, Mark D.; Manivannan, N.; Bhat, Ramesh; Jasani, Mital D.; Bera, Satarupa S.; Badigannavar, Anand M.; Sunkad, Gururaj; Wright, Graeme C.; Janila, Pasupuleti; Varshney, Rajeev K.

doi:10.1007/978-3-030-91035-8_4

Cited by 4 publications

(3 citation statements)

References 341 publications

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“…17 Mechanical damages and climatic factors such as hot humid conditions and heat or drought stress injure the peanut pod walls, and the seed coat becomes cracked, through which fungal hyphae can invade the seeds and favor groundnut predisposed to aflatoxin contamination. 25 Under drought stress, the moisture content decreases in pods causing cracks in their walls and facilitating the penetration of mycotoxigenic-producing A. flavus fungi. After colonization of seeds biotic stress causes oxidative damage which ultimately causes cell death.…”

Section: Aflatoxins: a Major Threat To Peanut Cropmentioning

confidence: 99%

“…Among others in the mycotoxin family, most carcinogenic aflatoxins are classified into four different groups such as AFB1, AFB2, AFG1, and AFG2 (Figure ) based on their mutagenic potential and teratogenic, toxicogenic, and extreme hepatocarcinogenic properties . Mechanical damages and climatic factors such as hot humid conditions and heat or drought stress injure the peanut pod walls, and the seed coat becomes cracked, through which fungal hyphae can invade the seeds and favor groundnut predisposed to aflatoxin contamination . Under drought stress, the moisture content decreases in pods causing cracks in their walls and facilitating the penetration of mycotoxigenic-producing A. flavus fungi.…”

Section: Aflatoxins: a Major Threat To Peanut Cropmentioning

confidence: 99%

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Aflatoxins in Peanut (Arachis hypogaea): Prevalence, Global Health Concern, and Management from an Innovative Nanotechnology Approach: A Mechanistic Repertoire and Future Direction

Sultana,

Malik,

Raja

et al. 2024

ACS Omega

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Arachis hypogaea is the most significant oilseed nutritious legume crop in agricultural trade across the world. It is recognized as a valued crop for its contributions to nourishing food, as a cooking oil, and for meeting the protein needs of people who are unable to afford animal protein. Currently, its production, marketability, and consumption are hindered because of Aspergillus species infection that consequently contaminates the kernels with aflatoxins. Regarding health concerns, humans and animals are affected by acute and chronic aflatoxin toxicity and millions of people are at high risk of chronic levels. Most methods used to store peanuts are traditional and serve effectively for short-term storage. Now the question for long-term storage has been raised, and this promptly finds potential approaches to the issue. It is imperative to reduce the aflatoxin levels in peanuts to a permissible level by introducing detoxifying innovations. Most of the detoxification reports mention physical, chemical, and biological techniques. However, many current approaches are impractical because of time consumption, loss of nutritional quality, or weak detoxifying efficiency. Therefore, it is crucial to investigate practical, economical, and green methods to control Aspergillus flavus that address current global food security problems. Herein, a green and economically revolutionary way is a nanotechnology that has demonstrated its potential to connect farmers to markets, elevate international marketability, improve human and animal health conditions, and enhance food quality and safety by the management of fungal diseases. Due to the antimicrobial potential of nanoparticles, they act as nanofungicides and have an incredible role in the control of aflatoxins. Nanoparticles have ultrasmall sizes and therefore penetrate the fungal body and invade the pathogen machinery, leading to fungal cell death by ROS production, mutation in DNA, disruption of organelles, and membrane leakage. This is the first mechanistic overview that unveils a comprehensive insight into aflatoxin contamination in peanuts, its prevalence, health effects, and management in addition to nanotechnological interventions that serve as a triple defense approach to detoxify aflatoxins. The optimum use of nanofungicides ensures food safety and the development of goals, especially "zero hunger".

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Section: Aflatoxins: a Major Threat To Peanut Cropmentioning

confidence: 99%

Section: Aflatoxins: a Major Threat To Peanut Cropmentioning

confidence: 99%

Aflatoxins in Peanut (Arachis hypogaea): Prevalence, Global Health Concern, and Management from an Innovative Nanotechnology Approach: A Mechanistic Repertoire and Future Direction

Sultana,

Malik,

Raja

et al. 2024

ACS Omega

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“…Biotic variables, in particular plant illnesses and diseases, are a significant contributor to reducing the groundnut output in Groundnut crop production in India and many other countries. Groundnut crop is susceptible to a variety of bacterial and fungal diseases like collar rot, rust, stem rot, rosette, bud necrosis, and leaf spot identifiable through its leaves [11]. Use of AI based IT technologies like drones, robots, weather forecasts etc.…”

Section: Introductionmentioning

confidence: 99%

Effective Groundnut Crop Management by Early Prediction of Leaf Diseases through Convolutional Neural Networks

Kukadiya,

Meva,

Nidhi Arora

et al. 2023

Int. Res. J. multidiscip. Technovation

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Groundnut (Arachis hypogaea L.), is the sixth-most significant leguminous oilseed crop grown all over worldwide. Groundnut, due to its high content of various dietary fibers, is classified as a valuable cash, staple and a feed crop for millions of households around the world. However, due to varied environmental factors, the crop is quite prone to many kinds of diseases, identifiable through its leaves, for which Groundnut producers have to suffer major losses every year. An early detection of such diseases is essential in order to save this significant crop and avoid huge losses. This paper presents a novel Machine Learning based Deep Convolution Neural Network (CNN) model ‘CNN8GN’. The model uses transfer learning technique for detection of such diseases in Groundnuts at an early stage of crop production. A Groundnut real image data set containing a total of 5322 real images for six different classes of Groundnut leaf diseases, captured in the fields of Gujarat state (India) during September 2022 to February 2023, is generated for training, testing and evaluation of the proposed model. The proposed deep learning model architecture is designed on eight different layers and can be used on varied sized images using simple ReLu and Softmax activation functions. The performance of the proposed CNN8GN model on Groundnut real image dataset is examined using a detailed experimental analysis with other six pre-trained models: VGG16, InceptionV3, Resnet50, ResNet152V2, VGG19, and MobileNetV2. CNN8GN results are also examined in detail using different sets of input parameters values. The proposed model has shown significant improvements for disease detection in comparative analysis with 99.11% training and 91.25% testing accuracy.

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Next-Generation Crop Breeding Approaches for Improving Disease Resistance in Groundnut (Arachis hypogaea L.)

Bangaru,

Mathew,

Bagudam

et al. 2023

Diseases in Legume Crops

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Genomic Designing for Biotic Stress Resistant Peanut

Cited by 4 publications

References 341 publications

Aflatoxins in Peanut (Arachis hypogaea): Prevalence, Global Health Concern, and Management from an Innovative Nanotechnology Approach: A Mechanistic Repertoire and Future Direction

Aflatoxins in Peanut (Arachis hypogaea): Prevalence, Global Health Concern, and Management from an Innovative Nanotechnology Approach: A Mechanistic Repertoire and Future Direction

Effective Groundnut Crop Management by Early Prediction of Leaf Diseases through Convolutional Neural Networks

Next-Generation Crop Breeding Approaches for Improving Disease Resistance in Groundnut (Arachis hypogaea L.)

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