Vanessa Szambelan

Vanessa Szambelan


Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 March 2024 in Journal of Thermal Biology
Verified
Journal Article
Closed access
JLJéssica Lazzari
Jéssica Lazzari
JIJosé Victor Vieira Isola
José Victor Vieira Isola
VSVanessa Szambelan
Vanessa Szambelan
GMGabriel Menegazzi
Gabriel Menegazzi
Marcos BusanelloMarcos Busanello
Marcos Busanello
RMRafael Gianella Mondadori
Rafael Gianella Mondadori

6 August 2025 in Animals
Verified
Journal Article
Open access
PDF file
VSVanessa Szambelan
Vanessa Szambelan
Marcos BusanelloMarcos Busanello
Marcos Busanello
MLMariani schmalz Lindorfer
Mariani schmalz Lindorfer
Rômulo Batista RodriguesRômulo Batista Rodrigues
Rômulo Batista Rodrigues
JSJuliana Sarubbi Sarubbi
Juliana Sarubbi Sarubbi
This study aimed to evaluate daily patterns of hourly milking frequency (MF) in dairy cows milked with an automatic milking system (AMSs), considering the effects of season, parity order (PO), days in milk (DIM), and milk yield (MY). A retrospective longitudinal study was conducted on a commercial dairy farm in southern Brazil over one year using data from 130 Holstein cows and 94,611 milking events. MF data were analyzed using general linear models. Overall, hourly MF followed a consistent daily pattern, with peaks between 4:00 and 11:00 a.m. and between 2:00 and 6:00 p.m., regardless of season, PO, DIM, or MY category. MF was higher in primiparous (2.84/day, p = 0.0013), early-lactation (<106 DIM; 3.00/day, p < 0.0001), and high-yielding cows (≥45 L/day; 3.09/day, p < 0.0001). High-yielding cows also showed sustained milking activity into the late nighttime. Although seasonal and individual factors significantly affected MF, they had limited influence on the overall daily distribution of milkings. These results suggest stable behavioral patterns within the specific AMS management conditions observed in this study and suggest that adjusting milking permissions and feeding strategies based on cow characteristics may improve system efficiency.