Literature DB >> 32780888

Remote monitoring system as a tool for calving management in Mediterranean Buffalo heifers (Bubalus bubalis).

Emanuela Rossi1, Nicola Ferri1, Martina Crociati2, Maurizio Monaci2, Giuseppe Stradaioli3, Lakamy Sylla2.   

Abstract

Buffalo breeding is common in Southern Italy. Dystocia compromises dam's and newborn health and welfare. Difficult parturition could be solved through prompt calving assistance, even if the identification of the beginning of delivery is challenging. Herein, we aimed to evaluate a remote calving alarm system in 15 Mediterranean buffalo heifers. An intravaginal probe was placed close to the external cervical os once premonitory signs of delivery were observed. No vaginal discharge nor signs of discomfort were notified in the days following the insertion of the probe. Heifers calved from 48 to 72 hr after the alarm was activated. The system correctly warned the farm personnel at the beginning of stage II of parturition, except for 2 cases. In the former, the intravaginal probe was expelled but the poor carrier network coverage negatively affected phone's signal quality; in the latter, recurrent vaginal prolapse was responsible for non-retention of the probe. Overall median expulsive phase was 68 ± 8 min, while the expulsion of a female calf took 54 ± 22.0 min and 90 ± 34.0 min in males, with significant difference (p =.02). Deliveries were homogeneously distributed across a 24-hr interval. No retention of foetal membranes nor metritis was identified at postpartum clinical examination. The calving alarm system used in this work was well tolerated in buffalo heifers. The introduction of smart technology in buffalo farming could contribute to the overall farm net return by reducing calf losses, especially for calves born from sexed-sorted semen, and by increasing animal welfare through quick resolution of dystocia. Further studies will be necessary to evaluate the net return in buffalo farms which will implement a remote calving alarm system on a wider population.
© 2020 Wiley-VCH GmbH.

Entities:  

Keywords:  GSM; buffalo; calving assistance; remote calving monitoring

Mesh:

Year:  2020        PMID: 32780888     DOI: 10.1111/rda.13805

Source DB:  PubMed          Journal:  Reprod Domest Anim        ISSN: 0936-6768            Impact factor:   2.005


  6 in total

1.  Assessment of Sensitivity and Profitability of an Intravaginal Sensor for Remote Calving Prediction in Dairy Cattle.

Authors:  Martina Crociati; Lakamy Sylla; Giuseppe Stradaioli; Maurizio Monaci; Alfonso Zecconi
Journal:  Sensors (Basel)       Date:  2021-12-14       Impact factor: 3.576

Review 2.  How to Predict Parturition in Cattle? A Literature Review of Automatic Devices and Technologies for Remote Monitoring and Calving Prediction.

Authors:  Martina Crociati; Lakamy Sylla; Arianna De Vincenzi; Giuseppe Stradaioli; Maurizio Monaci
Journal:  Animals (Basel)       Date:  2022-02-08       Impact factor: 2.752

3.  Effect of Culling Management Practices on the Seroprevalence of Johne's Disease in Holstein Dairy Cattle in Central Italy.

Authors:  Martina Crociati; Luca Grispoldi; Athanasios Chalias; Maurizio Monaci; Beniamino Cenci-Goga; Lakamy Sylla
Journal:  Vet Sci       Date:  2022-03-28

4.  Delayed First Milking in Unassisted Overnight Calving Did Not Affect the Quality of Colostrum but Influenced Serum Brix Refractometry in Holstein Calves at Two Days of Life.

Authors:  Daniel Gustavo Manosalva; Luca Grispoldi; Marco Spagnolo; Martina Crociati
Journal:  Animals (Basel)       Date:  2022-06-28       Impact factor: 3.231

Review 5.  Accuracy to Predict the Onset of Calving in Dairy Farms by Using Different Precision Livestock Farming Devices.

Authors:  Ottó Szenci
Journal:  Animals (Basel)       Date:  2022-08-08       Impact factor: 3.231

6.  Maternal and Neonatal Behaviour in Italian Mediterranean Buffaloes.

Authors:  Lydia Lanzoni; Matteo Chincarini; Melania Giammarco; Isa Fusaro; Alessia Gloria; Alberto Contri; Nicola Ferri; Giorgio Vignola
Journal:  Animals (Basel)       Date:  2021-05-28       Impact factor: 2.752

  6 in total

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