ArticleJournal of animal science2026
Noninvasive in vivo measurement of abdominal fat in broiler breeder pullets with portable near infrared technology.
Article in Journal of 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In broiler breeder production, adequate body fat at the start of the laying period is considered crucial for maintaining reproductive efficiency. Currently, methods to measure body fat in these animals are either invasive, requiring euthanasia, or depend on the subjective skill of operators during pelvic bone palpation, limiting their practicality and accuracy. Therefore, this study aimed to evaluate the potential of two portables Near Infrared Spectroscopy (NIRS) devices with different optical configurations, weight, and price-the MicroNIRTM Pro 1700 (908-1,676 nm) and the SCiO (740-1,070 nm)-for their ability to predict abdominal fat as percentage of body weight in live pullet broiler breeders. A total of 285 pullets from three different strains were analyzed, collecting reflectance spectra at two anatomical regions (axillary and coccygeal). Modified partial least squares (MPLS) regression models were developed and evaluated using cross-validation and independent validation for accuracy. Models based on coccygeal spectra showed superior performance for both instruments. Among the evaluated models, the MicroNIR device applied to the coccyx region provided the best performance, with an rcv2 of 0.80 and a SECV of 0.19. In independent validation for accuracy, this model achieved an r2 of 0.77 and a SEP of 0.20, confirming its predictive capability. These results suggest that NIRS technology, combined with appropriate anatomical selection and chemometric modeling, offers a nondestructive and easy-to-use solution to improve in vivo assessments in the poultry industry.
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.