Associations of Automatically Recorded Body Condition Scores with Measures of Production, Health, and Reproduction

Abstract

In the present study, we hypothesize that an automated body condition scoring system could be an indicator of health and pregnancy success in cows. Therefore, the objective of this study is to determine the relationship of the automated registered body condition score (BCS) with pregnancy and inline biomarkers such as milk beta-hydroxybutyrate (BHB), milk lactate dehydrogenase (LDH), milk progesterone (mP4), and milk yield (MY) in dairy cows. Indicators from Herd NavigatorTM were grouped into classes based on their arithmetic means. Values were divided into various classes: MY: ≤31 kg/day (first class—67.3% of cows) and >31 kg/day (second class—32.7%); BHB in milk: ≤0.06 mmol/L (first class—80.7% of cows) and >0.06 mmol/L (second class—16.9%); milk LDH activity: ≤27 µmol/min (first class—69.5% of cows) and >27 µmol/min (second class—30.5%); milk progesterone value: ≤15.5 ng/mL (first class—28.8% of cows) and >15.5 ng/mL (second class—71.2%); and BCS: 2.5–3.0 (first class—21.4% of cows), >3.0–3.5 (second class—50.8%), and >3.5–4.0 (third class—27.8%). According to parity, the cows were divided into two groups: 1 lactation (first group—38.9%) and ≥2 lactations (second group—61.1%). Based on our investigated parameters, BCS is associated with pregnancy success because the BCS (+0.29 score) and mP4 (10.93 ng/mL) of the pregnant cows were higher compared to the group of non-pregnant cows. The MY (−5.26 kg, p < 0.001) and LDH (3.45 µmol/min) values were lower compared to those in the group of non-pregnant cows (p < 0.01). Statistically significant associations of BCS and mP4 with the number of inseminations were detected. The number of inseminations among cows with the highest BCS of >3.5–4.0 was 42.41% higher than that among cows with the lowest BCS of 2.5–3.0 (p < 0.001). BCS can also be a health indicator. We found that the LDH content was greatest among cows with the highest BCS of >3.5–4.0; this value was 6.48% higher than that in cows with a BCS of >3.0–3.5 (p < 0.01). The highest MY was detected in cows with the lowest BCS of 2.5–3.0, which was 29.55% higher than that in cows with the highest BCS of >3.5–4.0 (p < 0.001). BCS was the highest in the group of cows with mastitis (4.96% higher compared to the group of healthy cows), while the highest statistically significant mean differences in body condition score (9.04%) were estimated between the mastitis and metritis groups of cows (p < 0.001).

Digital Innovations in Agriculture

“…In the thirty-sixth article [43], the authors hypothesised that an automated body condition scoring system could indicate health and pregnancy success in cows. Therefore, this study aimed to determine the association of automated recorded body condition score (BCS) with pregnancy and inline biomarkers, such as milk beta-hydroxybutyrate (BHB), milk lactate dehydrogenase (LDH), milk progesterone (mP4), and milk yield (MY) in dairy cows.…”

Retrospective study using biosensor data of a milking Holstein cow with jejunal haemorrhage syndrome

“…Biosensors provide information regarding reproduction and health problems by detecting rumination, temperature, activity, and pH; furthermore, biosensors can monitor oestrus, pregnancy, and parturition (Bruinje and Ambrose 2019; Lee and Seo 2021). Since biosensors can detect mastitis, lameness, and metabolic disorders, they offer further understanding of these conditions (Rutten et al 2013;Bayne et al 2016;Haladjian et al 2018;Antanaitis et al 2020;Alipio and Villena 2022;Antanaitis et al 2022). However, to the best of our knowledge, no studies have reported data collected using biosensors in dairy cattle with JHS.…”