2018
DOI: 10.1590/0001-3765201820180345
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Abstract: Our objective was to quantify the relationship between seasons of the year, milk production, and milk composition of a dairy farm based on data for 48 consecutive months, using multivariate statistical analyses. The dataset contained information on productive indexes and milk composition from the bulk tank milk, which was measured from milk samples, collected monthly and used to determine the total dry extract and defatted dry extract, lactose, fat, protein, somatic cell count, and total bacterial count. Seaso… Show more

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Cited by 12 publications
(5 citation statements)
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References 49 publications
(25 reference statements)
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“…between 05:00 and 05:30 hours). A similar practice is normal in the Noroeste Rio-grandense mesoregion (Haygert-Velho et al, 2018;Botton et al, 2019). Although only slight, this change in milking schedule affects the well-being of people and enables voluntary intake of feed by cows early in the morning (Van Soest, 1994), as it is consistent with the natural timing of the main daily meals for ruminants.…”
Section: Resultsmentioning
confidence: 97%
“…between 05:00 and 05:30 hours). A similar practice is normal in the Noroeste Rio-grandense mesoregion (Haygert-Velho et al, 2018;Botton et al, 2019). Although only slight, this change in milking schedule affects the well-being of people and enables voluntary intake of feed by cows early in the morning (Van Soest, 1994), as it is consistent with the natural timing of the main daily meals for ruminants.…”
Section: Resultsmentioning
confidence: 97%
“…FDA is a classical approach to identify a linear function of variables to distinguish samples from different groups as much as possible (Zou et al, 2018). This method has been widely applied in many fields, including facial recognition (Ruiz-Del-Solar & Navarrete, 2005), market research (IMP et al., 2018), and disease classification (Zou et al, 2018). In the present study, we successfully established a discriminant formula to distinguish patients with GC and CRC from healthy controls using the FDA method ( p < 0.01).…”
Section: Discussionmentioning
confidence: 99%
“…FDA is a classical approach to identify a linear function of variables to distinguish samples from different groups as much as possible (Zou et al, 2018). This method has been widely applied in many fields, including facial recognition (Ruiz-Del-Solar & Navarrete, 2005), market research (Imp et al, 2018), and disease classification (Zou et al, 2018). In the present study, we successfully established a discriminant formula to distinguish patients with GC and CRC from healthy controls using the FDA method (p < 0.01).…”
Section: Discussionmentioning
confidence: 99%