LED-Induced fluorescence and image analysis to detect stink bug damage in cotton bolls

The sweet cherry Prunus avium L. and sour cherry Prunus cerasus L. are considered important fruit trees, providing valuable and delicious fruit worldwide. We compared the susceptibility of 10 cultivars of sweet cherry and 5 genotypes of sour cherry to Bryobia rubrioculus Scheuten feeding by manually counting brown spots and by measuring damaged leaf area using a computerized image analysis technique. Damaged leaves were individually scanned on a common flatbed color scanner on a white background. The cultivars and genotypes of sweet and sour cherries, based on the mean area percentage having feeding symptoms on the leaves, were classified into three groups: (1) "susceptible", i.e., Hamedan, BN 5150, BT 5148, Zard-90, KB 9 and KB 10; (2) "semi-resistant", i.e., KB 21, Sabima, BT 5124, KB 25 and Lambert; and (3) "resistant", i.e., Haj Yousefi, BO 5187, BT 5154 and Siah Mashhad. A corresponding increase in the mean value of the symptom area was observed as the number of adult brown mites increased per disc. The results of both methods were compared, and the advantages of each method were discussed.

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Cotton Insect Pest Management

Luttrell

Teague

Brewer

2015

Agronomy Monographs

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Cotton production is challenged worldwide by a diversity of arthropod pests that require management to prevent or reduce crop damage. Advances in arthropod control technologies and improved insect and crop management systems have dramatically reduced levels of arthropod damage and the need for insecticidal control of several key pests in cotton over the past 30 yr. The near-complete eradication of boll weevil (Anthonomous grandis Boheman) from the United States and the worldwide deployment of transgenic cottons expressing insecticidal proteins of Bacillus thuringiensis (Bt cotton) are among the most notable advances. Insects and mites are highly adaptable, and new pest problems have emerged that continue to challenge or limit cotton production and profitability. In this update of cotton insect pest management, we review evolving technologies for cotton arthropod management, the purposeful deployment of resistance management programs, dynamic responses of arthropod pests to management actions, and improved integration of insect and crop management systems. We emphasize ecological context, including varying spatial scales of management, and the adaptive capacity of the arthropods impacted by management decisions as continuing influences on humankind's effort to limit arthropod damage to cotton. E xtraordinary changes in management of insects and mites attacking cotton (Gossypium L.) have transpired since Ridgway et al. (1984) reviewed cotton protection practices in the previous Agronomy Monograph, Cotton. Reviews published subsequent to that period (Frisbie and Adkisson, 1985; Frisbie et al.detailed information on cotton insects and chronicle changes in insect management strategies in response to new pests, advances in control technologies, and changing management structures associated with insect resistance management and government regulations.

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LED-Induced fluorescence and image analysis to detect stink bug damage in cotton bolls

Cited by 4 publications

References 22 publications

Development of an automated pigmentation phenotyping and low- cost multispectral imaging system

Development of an automated pigmentation phenotyping and low- cost multispectral imaging system

Susceptibility of sweet and sour cherry cultivars/genotypes to feeding damage caused by Bryobia rubrioculus (Acari: Tetranychidae)

Cotton Insect Pest Management

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