Using activity and milk yield as predictors of fresh cow disorders.

Using activity and milk yield as predictors of fresh cow disorders.

Item
http://www.wikidata.org/entity/Q40540796
A field investigation of the use of the pedometer for the early detection of lameness in cattleIntegrating novel data streams to support biosurveillance in commercial livestock production systems in developed countries: challenges and opportunitiesBreeding and Genetics Symposium: really big data: processing and analysis of very large data sets.Movement Behaviour of Traditionally Managed Cattle in the Eastern Province of Zambia Captured Using Two-Dimensional Motion Sensors.Towards practical application of sensors for monitoring animal health; design and validation of a model to detect ketosis.Towards practical application of sensors for monitoring animal health: the effect of post-calving health problems on rumination duration, activity and milk yield.A decision-tree model to detect post-calving diseases based on rumination, activity, milk yield, BW and voluntary visits to the milking robot.Association between left-displaced abomasum corrected with 2-step laparoscopic abomasopexy and milk production in a commercial dairy farm in Italy
P2860

Using activity and milk yield as predictors of fresh cow disorders.

Item
http://www.wikidata.org/entity/Q40540796
description
2004 nî lūn-bûn
@nan
2004年の論文
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2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
2004年论文
@zh
2004年论文
@zh-cn
name
Using activity and milk yield as predictors of fresh cow disorders.
@en
type
label
Using activity and milk yield as predictors of fresh cow disorders.
@en
prefLabel
Using activity and milk yield as predictors of fresh cow disorders.
@en
P1433
P1476
P2093
P304
P31
P356
P407
P433
P478
P577
P698
P356
P1433
P1476
Using activity and milk yield as predictors of fresh cow disorders.
@en
P2093
P304
P31
P356
10.3168/JDS.S0022-0302(04)73192-6
P407
P433
P478
P577
P698