Efficient detection of internal infestation in wheat based on biophotonics

Shi, Wei; Jiao, Keke; Liang, Yitao; Wang, Feng

doi:10.1016/j.jphotobiol.2015.12.016

Cited by 7 publications

(2 citation statements)

References 19 publications

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“…Donné et al (2016) performed segmentation of the corn plant using a convolutional ANN. Shi et al (2016) analyzed losses of quality and quantity of wheat seeds due to insects and created internal infestation detection model by means of pattern recognition techniques. Other technologies and systems of agroclimatic monitoring, systems of monitoring of anomalies through image processing are also employed (Mora et al, 2016).…”

Section: Traditional Technological Strategiesmentioning

confidence: 99%

Sustainable and technological strategies for basic cereal crops in the face of climate change: A literature review

GutiÃ©rrez¹,

Palacios²,

Ruiz-Vanoye³

et al. 2018

Afr. J. Agric. Res.

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At the international level, corn, wheat and rice are basic grains considered to be the most important food source for humans, as they are a fundamental part of the daily diet and represent more than 55% of the caloric intake. They make up the greater production and consumption in the world. Due to Climate Change, these highly vulnerable crops to extreme temperatures have suffered a reduction in quality and quantity of yields. In addition, there is an increase in the risk of production especially for small farmers who provide more than 75% of the world production. According to the projections for the year 2050, basic cereals will continue to be essential for food security and global survival. In turn, the temperature will continue to increase and will cause a decrease of up to 10% in yield for each increased degree celsius, in the absence of sustainable adaptation. The present work consists of a review of the literature of adaptation strategies in the face of Climate Change, which contributes to reestablishing the damage caused by the green revolution on basic cereal crops, the environment, and biodiversity, the technological strategies review was also included considering that it is a tool that offers valuable support to the farmer in the decision making inherent in the planning and improvement of their cereal crops.

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Section: Traditional Technological Strategiesmentioning

confidence: 99%

Sustainable and technological strategies for basic cereal crops in the face of climate change: A literature review

GutiÃ©rrez¹,

Palacios²,

Ruiz-Vanoye³

et al. 2018

Afr. J. Agric. Res.

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show abstract

“…Visual inspection, sampling and sieving are widely used for insect detection in grains (Aspaly et al, 2007). Other methods were developed to detect hidden infestations including staining of kernels to detect eggs, density separation (Shi et al, 2016), x-ray micro-tomography (Toews et al, 2006), acoustical sensors technique (Mankin et al, 2010), near infrared spectroscopy (Perez-Mendoza et al, 2005), Enzyme-Linked Immunosorbent Assay (ELISA) (Dunn et al, 2008) and uric acid analysis (Wehling et al, 1984). The accuracy of these methods depends on insect species, their developmental stage and grain type (Abels and Ludescher, 2003;Dasmahapatra, 2010).…”

Section: Introductionmentioning

confidence: 99%

Strategy for DNA extraction and detection from insect pests in stored home grain samples RESEARCH

Abbasi

Halaseh²,

Darwish³

et al. 2021

AQUJ

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Stored grains are subjected to infestations with more than 60 species of insects, that responsible for millions of dollars’ loss and cause several health problems including allergies and gastrointestinal disorders. Traditional detection techniques are laborious, expensive and not sensitive to detect insect contamination at the egg and larvae stages. Therefore, alternative methods are needed for rapid and sensitive detection. One obvious approach is to develop a molecular approach utilizing genetic information of the potential insect species that infest grains for amplification of specific target gene fragment utilizing polymerase chain reaction [PCR]. In the present study, a number of known infested grain samples were used in standardizing a method to isolate larvae and adult insects that were based on centrifugation washing method and a filtration washing method. The isolated insects were subjected to DNA extraction and PCR amplification of defined regions of cytochrome oxidase I (COI) gene followed by sequencing to identify the di"erent pest species. For PCR amplification new primers were designed and for this purpose the obtained COI sequences from di"erent insects were aligned to design two sets of primers (named: COI-PCR4 and COI-PCR5) specific for the indicated insect mitochondrial COI gene. The designed primers were tested for their specificity and sensitivity. The suitability of PCR primers and DNA extraction methods were evaluated on eleven samples of commercial grains utilizing each primer set with the two extraction methods.

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Comparative assessments between conventional and promising technologies for wheat aging or mold detection

Gong

Liang

et al. 2021

CEREAL RESEARCH COMMUNICATIONS

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Efficient detection of internal infestation in wheat based on biophotonics

Cited by 7 publications

References 19 publications

Sustainable and technological strategies for basic cereal crops in the face of climate change: A literature review

Sustainable and technological strategies for basic cereal crops in the face of climate change: A literature review

Strategy for DNA extraction and detection from insect pests in stored home grain samples RESEARCH

Comparative assessments between conventional and promising technologies for wheat aging or mold detection

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