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CROP ECOLOGY, PRODUCTION & MANAGEMENT

Estimation of Fall Dormancy in Alfalfa by Near Infrared Reflectance Spectroscopy

^a Dep. of Agronomy Univ. of Missouri, Columbia, MO 65211
^b Dep. of Agronomy and Range Science, Univ. of California, Davis, CA 95616

* Corresponding author (KallenbachR{at}missouri.edu)

Estimating fall dormancy (FD) in alfalfa (Medicago sativa L.) is time-consuming and expensive. The objective of this study was to estimate the FD class of alfalfa using near infrared reflectance (NIR) spectroscopy. Eleven alfalfa cultivars ranging in FD from 1 to 11 were grown as spaced plants at four diverse locations. In early autumn, 55 to 65 plants were randomly selected at each location and FD determined for each plant. For each sample, NIR spectra were collected and FD values regressed against first and second derivative transformations of spectra by modified partial least squares regression. The optimum equation had a calibration R² of 0.90 and a mean and standard error of 7.93 ± 1.14. Blind validation samples showed that this equation could accurately predict the FD class of individual plants (r² = 0.85) as well as entire cultivars (r² = 0.94). We concluded NIR spectroscopy has the potential to estimate FD classes of alfalfa.

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