Abstract
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 R 2 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 ( r 2 = 0.85) as well as entire cultivars ( r 2 = 0.94). We concluded NIR spectroscopy has the potential to estimate FD classes of alfalfa.
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Claims 4
Claim · model-written summary
The best NIR equation had calibration R squared 0.90 and mean and standard error 7.93 ± 1.14.
- Taxon
- alfalfa
Medicago sativat0 - Outcome
- calibration R 2e0
- Value
- 0.90e0
- Qualifier
- 7.93 ± 1.14e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The optimum equation had a calibration R 2 of 0.90 and a mean and standard error of 7.93 ± 1.14”
t0“Alfalfa”
Claim · model-written summary
Blind validation predicted individual plant fall dormancy class with r squared 0.85.
- Taxon
- alfalfaMedicago sativat0
- Outcome
- FD class of individual plantse0
- Value
- 0.85e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Blind validation samples showed that this equation could accurately predict the FD class of individual plants ( r 2 = 0.85)”
t0“Alfalfa”
Claim · model-written summary
Blind validation predicted cultivar fall dormancy class with r squared 0.94.
- Taxon
- alfalfaMedicago sativat0
- Outcome
- entire cultivarse0
- Value
- 0.94e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“as well as entire cultivars ( r 2 = 0.94)”
t0“Alfalfa”
Claim · model-written summary
NIR spectroscopy was judged potentially useful for alfalfa fall dormancy class estimation.
- Taxon
- alfalfaMedicago sativae0
- Outcome
- estimate FD classese0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“We concluded NIR spectroscopy has the potential to estimate FD classes of alfalfa”