Brachiaria brizantha is the most common forage
plant used in cattle pastures. The field plant population is the main
parameter for cattle nutrition; it is mainly determined by the genotype
and physiological quality of the seed, that is, seed vigor. Seed vigor
standard tests are considered time-consuming and laborious. Fourier
transformed infrared (FTIR) spectroscopy was used to classify the
seed cultivar and vigor from two different genotypes of B.
brizantha, namely, Marandu and Paiaguás cultivars.
Two batches from each group were used for classification by applying
FTIR and machine learning algorithms. The algorithms with a higher
overall accuracy in the leave-one-out cross-validation were also validated
by an external validation using a dedicated set of samples exclusively
separated for this purpose. The results indicate that molecular spectroscopy
combined with machine learning analysis presents great potential for
the classification of B. brizantha seeds.
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