Invited review: Iodine level in dairy products-A feed-to-fork overview

The theme of iodine in the dairy sector is of particular interest due to the involvement and the interconnection of several stakeholders along the dairy food chain. Iodine plays a fundamental role in animal nutrition and physiology, and in cattle it is an essential micronutrient during lactation and for fetal development and the calf's growth. Its correct use in food supplementation is crucial to guarantee the animal's recommended daily requirement to avoid excess intake and long-term toxicity. Milk iodine is fundamental for public health, being one of the major sources of iodine in Mediterranean and Western diets. Public authorities and the scientific community have made great efforts to address how and to what extent different drivers may affect milk iodine concentration. The scientific literature concurs that the amount of iodine administered through animal feed and mineral supplements is the most important factor affecting its concentration in milk of most common dairy species. Additionally, farming practices related to milking (e.g., use of iodized teat sanitizers), herd management (e.g., pasture vs. confinement), and other environmental factors (e.g., seasonality) have been identified as sources of variation of milk iodine concentration. Overall, the aim of this review is to provide a multilevel overview on the mechanisms that contribute to the iodine concentration of milk and dairy products.

Predicting male dairy calf live weight for use in calf management decision support

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A robust yet simple statistical model for predicting young male dairy calf live weight was developed.

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The predictive model can be adapted to estimate the age when a calf reaches a target live weight.

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The model can be integrated into a decision support tool to inform calf labor and infrastructure management.

The growing awareness and scrutiny of the management of young dairy calves, especially male calves, necessitates a support tool to aid in the planning of resource allocation on dairy farms. There is a desire among some vendors for a minimum calf weight when purchasing young dairy bull calves. Hence, the objective of the present study was to investigate whether live weight of young calves (approximately 10–50 d old) can be predicted using readily accessible animal-level features, especially features that may be available in advance of birth. A multiple linear regression mixed model was developed with the live weight of 602 dairy bull calves aged between 10 and 42 d as the dependent variable; the age at which an animal is predicted to reach a predefined live weight was then estimated based on the model regression coefficients. Fixed effects included in the multiple regression model were dam parity, gestation length, and parental average genetic merit for relevant traits available in Ireland; namely, birth weight, birth size, and carcass weight. Herd of origin was included as a random effect, with all calves having been sold directly from the farm of birth. Live weight data were recorded at the point of sale when calves were, on average, 26 d old with a mean live weight of 56.6 kg. Animals were randomly assigned to 10 separate (i.e., folds) cross-validation data sets without replacement (i.e., each fold consisted of a different 10% of the data to test the model, with the remaining 90% of data being used to train the model) to quantify the accuracy of prediction. Across all data, the correlation between actual and predicted live weight was 0.76; the regression coefficient of actual live weight on predicted live weight across all data was 0.99. The root mean squared error of prediction varied from 4.40 to 6.66 kg per fold. Across all data, the root mean squared error was 5.61 kg, implying that 68% of live weight predictions were within 5.61 kg of the actual live weight. Given the potential availability of all model features in advance of birth (gestation length can be predicted from ultrasound examination of the pregnant uterus, although substituting parental average genetic merit for gestation length had minimal effect on model performance), predictions can be integrated into a dairy farm decision support tool to aid in the management of labor and infrastructure resources to achieve minimum live weight specifications before sale.

Whole-transcriptome profiling of sheep fed with a high iodine-supplemented diet

Iodine (I) is a micronutrient that mammals need for proper functionality of thyroid gland since it is the main component of thyroid hormones. Besides studies that have investigated the role of I in livestock nutrition, it is also important to know the transcriptomics changes in small ruminants following I supplementation. Therefore, the aim of this study was to investigate the effects of I on the whole blood transcriptome in sheep. Fifteen lactating cross-bred ewes (3 to 4-year-old, 55 to 65 kg BW) at their late lactation period were enrolled in this study. At the beginning, all the animals had a 2-week acclimation period where they were fed with a basal diet which includes an adequate level of I (2 mg I/animal per day) in the form of calcium iodate (CaI2O6). Then, the ewes were randomly divided into two groups and fed in individual troughs: the control group (n = 5) was maintained on basal diet and the experimental group (I, n = 10) was fed for 40 days with a diet containing a high I supplementation (equivalent to 30 mg I/animal per day), in the form of potassium iodide. Whole blood and milk were collected individually at the beginning (T0) and after the 40 days of supplementation (T40). Iodine quantification was assessed in serum and milk sample. Microarray gene expression analysis was performed on whole blood and, filtering data using a fold change >2 with an adjusted P < 0.05, we identified 250 differentially expressed genes (DEGs) in the I group (T40 v. T0). Looking for biological processes associated with our DEGs, we found significant association with cell growth regulation. Thus, our study unveils the role of I supplementation on gene expression in sheep improving the knowledge about micronutrients in animal nutrition.