ArticleVeterinary and animal science2026
Near-infrared spectroscopy for predicting chemical composition and classifying local chicken meat.
Article in Veterinary and animal science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Near-infrared (NIR) spectroscopy was tested to predict meat quality and classify chicken parts, sex, and diet in a local chicken breed. Sixty chicks (both sexes) were reared under identical conditions until 120 days, then assigned to a low-lipidic (LL, 3.85% EE, ether extract) and a high-lipidic diet (HL, 9.49% EE). At 150 days, breast and thigh samples were collected, and physical traits -pH and color- and proximate composition -moisture, crude protein (CP), ether extract (EE), and ash- were determined using wet chemistry methods. Samples were scanned intact, ground, and freeze-dried with a benchtop NIR spectrometer (1100-2500 nm), and prediction models were developed on both fresh and dry matter bases. External validation (70/30% split) was applied for pH, yellowness, EE, and ash, whereas cross-validation was performed separately for breast and thigh for redness, lightness, moisture, and CP. Model performance was evaluated using the coefficient of determination in validation (R²
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.