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ARS Home » Southeast Area » Gainesville, Florida » Center for Medical, Agricultural and Veterinary Entomology » Insect Behavior and Biocontrol Research » Research » Publications at this Location » Publication #297220
Title: Determination of degree of infestation of triticale seed using NIR spectroscopy

Author
item KHEDER AGHA, MAHMOUD - University Of Florida
item SUK LEE, WON - University Of Florida
item WANG, CHUAN - University Of Florida
item Mankin, Richard
item BLIZNYUK, NIKOLAY - University Of Florida
item BUCKLIN, RAY - University Of Florida

Submitted to: Proceedings of the American Society of Agricultural and Biological Engineers International (ASABE)
Publication Type: Proceedings
Publication Acceptance Date: 7/8/2013
Publication Date: 7/21/2013
Citation: Kheder Agha, M.K., Suk Lee, W., Wang, C., Mankin, R.W., Bliznyuk, N., Bucklin, R.A. 2013. Determination of degree of infestation of triticale seed using NIR spectroscopy. Proceedings of the American Society of Agricultural and Biological Engineers International (ASABE). ASABE Paper No. 131592957.

Interpretive Summary: N/A

Technical Abstract: Insect infestation of seeds of the triticale hybrid, Triticosecale, causes extraordinary storage losses as a consequence of vulnerability of triticale seed to insect infestation and its soft coat. Rice weevil, Sitophilus oryzae (L.), is a common insect that causes infestation in Florida, which was the subject of this research. The objective of this research was to develop a method to determine the degrees of infestation (DI) in the seeds at two growth stages by measuring their spectral reflectance. To achieve this goal, triticale samples with eleven DI (0, 6, 11… and 62%) were prepared with two growth stages, larvae 2nd instar and adult outside seed, with three to four replications. The reflectance was measured from 400 to 2500 nm. The DI results were compared to manual inspection to evaluate the accuracy. The data was analyzed using stepwise multiple linear regression (SMLR). The result showed that the degree of infestation for larvae 2nd instar stage could be predicted using an average reflectance in 410 to 400 nm, with R2 0.87 using the SMLR method. The adult outside stage also resulted in a good prediction using the SMLR method, where it yielded four wavelengths (967, 791, 783, and 400 nm) that provided an acceptable result with an R2 of 0.87 for the adult outside stage. The prediction of early growth stages was more challenging than for late growth stage due to the smaller size of larvae 2nd instar stage compared to the adult stage. Overall, NIR spectroscopy was proven to be useful to detect insect infestation in triticale seed.