ArticleJDS communications2026
Development and evaluation of a model to predict herd-level milk fat concentration in Irish spring-calving grazing dairy herds.
Article in JDS communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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Authors and funding
3 authors.
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Abstract
The objective of this quantitative study was to mathematically reparametrize a herd-level milk fat concentration model, based on grazing rotation, into a continuous day-of-year model. An additional objective was to evaluate the predictive performance of the reparameterized model using milk recording data from 5,165 spring-calving (Feb. to Apr.) herds in Ireland. The dataset included 13,788 individual herd-level milk sample recordings collected between February and November 2023. The grazing-rotation coefficients from the original model were aligned to their corresponding day-of-year, and continuous daily coefficients were generated using linear extrapolation. The daily coefficients were then integrated into the original multivariable linear regression model, replacing grazing rotation with day-of-year. The reparameterized model was initially evaluated for prediction accuracy and precision using the evaluation dataset reported by Heffernan et al. (2025a), and it demonstrated strong predictive ability (R
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