dc.creatorBusanello, Marcos
dc.creatorFreitas, Larissa Nazareth de
dc.creatorWinckler, João Pedro Pereira
dc.creatorFarias, Hiron Pereira
dc.creatorDias, Carlos Tadeu dos Santos
dc.creatorCassoli, Laerte Dagher
dc.creatorMachado, Paulo Fernando
dc.date.accessioned2017-08-20T04:50:56Z
dc.date.accessioned2018-07-04T17:14:00Z
dc.date.available2017-08-20T04:50:56Z
dc.date.available2018-07-04T17:14:00Z
dc.date.created2017-08-20T04:50:56Z
dc.date.issued2017
dc.identifierIrish Veterinary Journal. 2017 Aug 15;70(1):26
dc.identifierhttp://www.producao.usp.br/handle/BDPI/51420
dc.identifier10.1186/s13620-017-0103-z
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1646459
dc.description.abstractAbstract Background Payment programs based on milk quality (PPBMQ) are used in several countries around the world as an incentive to improve milk quality. One of the principal milk parameters used in such programs is the bulk tank somatic cell count (BTSCC). In this study, using data from an average of 37,000 farms per month in Brazil where milk was analyzed, BTSCC data were divided into different payment classes based on milk quality. Then, descriptive and graphical analyses were performed. The probability of a change to a worse payment class was calculated, future BTSCC values were predicted using time series models, and financial losses due to the failure to reach the maximum bonus for the payment based on milk quality were simulated. Results In Brazil, the mean BTSCC has remained high in recent years, without a tendency to improve. The probability of changing to a worse payment class was strongly affected by both the BTSCC average and BTSCC standard deviation for classes 1 and 2 (1000–200,000 and 201,000–400,000 cells/mL, respectively) and only by the BTSCC average for classes 3 and 4 (401,000–500,000 and 501,000–800,000 cells/mL, respectively). The time series models indicated that at some point in the year, farms would not remain in their current class and would accrue financial losses due to payments based on milk quality. Conclusion The BTSCC for Brazilian dairy farms has not recently improved. The probability of a class change to a worse class is a metric that can aid in decision-making and stimulate farmers to improve milk quality. A time series model can be used to predict the future value of the BTSCC, making it possible to estimate financial losses and to show, moreover, that financial losses occur in all classes of the PPBMQ because the farmers do not remain in the best payment class in all months.
dc.languageen
dc.publisherBioMed Central
dc.relationIrish Veterinary Journal
dc.rightsThe Author(s).
dc.rightsopenAccess
dc.subjectDairy science
dc.subjectMastitis
dc.subjectPayment by milk quality
dc.subjectManagement
dc.subjectFinancial losses
dc.subjectBonuses and penalties
dc.subjectTime series analysis
dc.titleMonth-wise variation and prediction of bulk tank somatic cell count in Brazilian dairy herds and its impact on payment based on milk quality
dc.typeArtículos de revistas


Este ítem pertenece a la siguiente institución