ArticleAnimal science journal = Nihon chikusan Gakkaiho
Prediction of Lactoferrin Concentrations in Mature Milk From Japanese Holstein Cows Using Milk Infrared Spectral Data and Its Practical Applicability.
Article in Animal science journal = Nihon chikusan Gakkaiho. 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
11 authors.
Funding
Abstract
Lactoferrin is an important bioactive protein in milk associated with immune function in mammary glands. However, cost-effective measurement of lactoferrin concentration in mature milk remains challenging, thus highlighting the potential of Fourier transform infrared (FTIR) spectroscopy as a predictive tool. To practically implement FTIR-predicted lactoferrin concentrations, understanding both the methodological factors affecting prediction accuracy and the biological relevance of the predicted values is important. Therefore, this study aimed to identify the factors affecting the predictive accuracy of lactoferrin concentration in mature milk from Japanese Holstein cows using FTIR spectral data and evaluate the practical applicability of the predicted values. A total of 1624 milk samples were analyzed. Prediction models were developed using different spectral derivative preprocessing methods, spectral wavenumber ranges, and regression models. Predictive accuracies were generally comparable among the regression models, with Bayesian regularized neural network regression achieving the highest coefficient of determination (R
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.