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ARS Home » Plains Area » Manhattan, Kansas » Center for Grain and Animal Health Research » Stored Product Insect and Engineering Research » Research » Research Project #437963

Research Project: Impacting Quality through Preservation, Enhancement, and Measurement of Grain and Plant Traits

Location: Stored Product Insect and Engineering Research

Publications (Clicking on the reprint icon Reprint Icon will take you to the publication reprint.)

NIR spectroscopy for rapid measurement of moisture and cannabinoid contents of industrial hemp (Cannabis sativa) Reprint Icon - (Peer Reviewed Journal)
Su, K., Maghirang, E.B., Tan, J., Yoon, J., Armstrong, P.R., Kachroo, P., Hildebrand, D. 2022. NIR spectroscopy for rapid measurement of moisture and cannabinoid contents of industrial hemp (Cannabis sativa). Industrial Crops and Products. https://doi.org/10.1016/j.indcrop.2022.115007.

Evaluation of dosimeter tubes for monitoring phosphine fumigations Reprint Icon - (Peer Reviewed Journal)
Brabec, D.L., Morrison III, W.R., Campbell, J.F., Arthur, F.H., Bruce, A.I., Yeater, K.M. 2021. Evaluation of dosimeter tubes for monitoring phosphine fumigations. Journal of Stored Products Research. 91. Article 101762. https://doi.org/10.1016/j.jspr.2021.101762.

Developing a multi-spectral NIR LED-based instrument for detection of pesticide residues containing chlorpyrifos-methyl in rough, brown and milled rice Reprint Icon - (Peer Reviewed Journal)
Rodriguez, F.S., Armstrong, P.R., Maghirang, E.B., Yaptenco, K.F., Scully, E.D., Arthur, F.H., Brabec, D.L., Adviento-Borbe, A.A., Suministrado, D.C. 2020. Developing a multi-spectral NIR LED-based instrument for detection of pesticide residues containing chlorpyrifos-methyl in rough, brown and milled rice. Transactions of the ASABE. 36(6):983-993. https://doi.org/10.13031/aea.14001.

An autoencoder and artificial neural network-based method to estimate parity status of wild mosquitoes from near-infrared spectra Reprint Icon - (Peer Reviewed Journal)
Milali, M.P., Kiware, S.S., Govella, N.J., Okumu, F., Bansal, N., Bozdag, S., Charlwood, J.D., Maia, M.F., Ogoma, S.B., Dowell, F.E., Corliss, G.F., Sikulu-Lord, M.T., Povinelli, R.J. 2020. An autoencoder and artificial neural network-based method to estimate parity status of wild mosquitoes from near-infrared spectra. PLoS One. 15(6):e0234557. https://doi.org/10.1371/journal.pone.0234557.

Generation and characterization of a soybean line with a Vernonia galamensis diacylglycerol acyltransferase-1 gene and a myo-inositol 1-phosphate synthase knockout mutation Reprint Icon - (Peer Reviewed Journal)
Al-Amery, M., Fowler, A., Unrine, J.M., Armstrong, P.R., Maghirang, E.B., Su, K., De Melo, J., Yuan, F., Shu, Q., Hildebrand, D. 2020. Generation and characterization of a soybean line with a Vernonia galamensis diacylglycerol acyltransferase-1 gene and a myo-inositol 1-phosphate synthase knockout mutation. Lipids. 12253. https://doi.org/10.1002/lipd.12253.

Ability of near-infrared spectroscopy and chemometrics to predict the age of mosquitoes reared under different conditions Reprint Icon - (Peer Reviewed Journal)
Ong, O.W., Kho, E.A., Esperanca, P.M., Freebairn, C., Dowell, F.E., Devine, G.J., Churcher, T.S. 2020. Ability of near-infrared spectroscopy and chemometrics to predict the age of mosquitoes reared under different conditions. Parasites & Vectors. 13:160. https://doi.org/10.1186/s13071-020-04031-3.