Identifying cows at risk

I.D.E. van Dixhoorn; R.M. de Mol; J.T.N. van der Werf; C.G. van Reenen

Identifying cows at risk

I.D.E. van Dixhoorn, R.M. de Mol, J.T.N. van der Werf, C.G. van Reenen

Research output: Contribution to conference › Poster › Academic

Abstract

Dynamic, quantitative parameters for high-resolution physiological and behavioural measures, continuously acquired during the dry period have predictive value for the risk of cows to develop diseases during the early lactation period. Our results suggest that quantitative parameters derived from sensor data may reflect the level of resilience of individual cows

Original language	English
Publication status	Published - 8 Dec 2015
Event	CAS Symposium 'Strategies for our changing and complex world: concepts, methods and applications' output - Wageningen, Netherlands Duration: 8 Dec 2015 → …

Conference

Conference	CAS Symposium 'Strategies for our changing and complex world: concepts, methods and applications' output
Country/Territory	Netherlands
City	Wageningen
Period	8/12/15 → …

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https://edepot.wur.nl/378013

Cite this

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title = "Identifying cows at risk",

abstract = "Dynamic, quantitative parameters for high-resolution physiological and behavioural measures, continuously acquired during the dry period have predictive value for the risk of cows to develop diseases during the early lactation period. Our results suggest that quantitative parameters derived from sensor data may reflect the level of resilience of individual cows",

author = "{van Dixhoorn}, I.D.E. and {de Mol}, R.M. and {van der Werf}, J.T.N. and {van Reenen}, C.G.",

year = "2015",

month = dec,

day = "8",

language = "English",

note = "CAS Symposium 'Strategies for our changing and complex world: concepts, methods and applications' output ; Conference date: 08-12-2015",

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TY - CONF

T1 - Identifying cows at risk

AU - van Dixhoorn, I.D.E.

AU - de Mol, R.M.

AU - van der Werf, J.T.N.

AU - van Reenen, C.G.

PY - 2015/12/8

Y1 - 2015/12/8

N2 - Dynamic, quantitative parameters for high-resolution physiological and behavioural measures, continuously acquired during the dry period have predictive value for the risk of cows to develop diseases during the early lactation period. Our results suggest that quantitative parameters derived from sensor data may reflect the level of resilience of individual cows

AB - Dynamic, quantitative parameters for high-resolution physiological and behavioural measures, continuously acquired during the dry period have predictive value for the risk of cows to develop diseases during the early lactation period. Our results suggest that quantitative parameters derived from sensor data may reflect the level of resilience of individual cows

M3 - Poster

T2 - CAS Symposium 'Strategies for our changing and complex world: concepts, methods and applications' output

Y2 - 8 December 2015

ER -

Identifying cows at risk

Abstract

Conference

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