Optimal milking management leads to an increase in production efficiency while respecting animal welfare and health. Not all farms can equip themselves with high level technological systems for economic, generational and structural reasons. The aim of the study was to assess milking performances, cow behaviour and microclimatic condition in farm areas using an integrated data collection system based on surveys and low-cost sensors. The use of video recordings and mobile electronic flowmeters highlighted significant differences between farms that milked two and three times a day. Milking efficiency parameters (cow/hour; cows/stall per hour; milk/hour; milk/stall per hour) were calculated. In particular, the milk/stall per hour parameter emerged as the most interesting. Animal stay time, defined as the time running from when cows are moved from the housing to the beginning of the milking, was calculated and the highest value (76.3 minutes) was observed in farms with more than 10 stalls/row. Hobo pendant sensors were used in order to evaluate cows lying behaviour: no differences were observed between farms that milked two and three times a day (11.3 vs 11.0 h/d of lying). Microclimatic conditions were influenced by both the season (p < .001) and farm areas (p < .05) (holding area, milking parlour, housing area). Light intensity in milking parlour emerged as a critical point; further research is needed to understand the relation with udder hygiene and health. The integration of manual measurements with the use of low-cost sensors allowed to monitor the efficiency of the process and microclimatic condition in farm areas.

The use of integrated data collection system to evaluate milking performance, microclimatic condition and cows’ behaviour / S. Celozzi, M. Zucali, L. Bava, F.M. Tangorra, L. Zanini, A. Tamburini, A. Sandrucci. - In: ITALIAN JOURNAL OF ANIMAL SCIENCE. - ISSN 1828-051X. - 19:1(2020 Dec 14), pp. 856-864.

The use of integrated data collection system to evaluate milking performance, microclimatic condition and cows’ behaviour

S. Celozzi
Primo
;
M. Zucali
Secondo
;
L. Bava;F.M. Tangorra;A. Tamburini
Penultimo
;
A. Sandrucci
Ultimo
2020

Abstract

Optimal milking management leads to an increase in production efficiency while respecting animal welfare and health. Not all farms can equip themselves with high level technological systems for economic, generational and structural reasons. The aim of the study was to assess milking performances, cow behaviour and microclimatic condition in farm areas using an integrated data collection system based on surveys and low-cost sensors. The use of video recordings and mobile electronic flowmeters highlighted significant differences between farms that milked two and three times a day. Milking efficiency parameters (cow/hour; cows/stall per hour; milk/hour; milk/stall per hour) were calculated. In particular, the milk/stall per hour parameter emerged as the most interesting. Animal stay time, defined as the time running from when cows are moved from the housing to the beginning of the milking, was calculated and the highest value (76.3 minutes) was observed in farms with more than 10 stalls/row. Hobo pendant sensors were used in order to evaluate cows lying behaviour: no differences were observed between farms that milked two and three times a day (11.3 vs 11.0 h/d of lying). Microclimatic conditions were influenced by both the season (p < .001) and farm areas (p < .05) (holding area, milking parlour, housing area). Light intensity in milking parlour emerged as a critical point; further research is needed to understand the relation with udder hygiene and health. The integration of manual measurements with the use of low-cost sensors allowed to monitor the efficiency of the process and microclimatic condition in farm areas.
Milking; efficiency; sensors; microclimate;
Settore AGR/19 - Zootecnica Speciale
Settore AGR/09 - Meccanica Agraria
   Mungitura: Efficienza, sostenibiliTà ed equAlità
   META
   REGIONE LOMBARDIA - Agricoltura
   Domanda n. 201600545461
14-dic-2020
ago-2020
Article (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/766312
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