Zobrazeno 1 - 10
of 29
pro vyhledávání: '"G.M. Dallago"'
Publikováno v:
JDS Communications, Vol 5, Iss 5, Pp 484-489 (2024)
Tiestalls, known for restrictive housing, can reduce cows' locomotor skills over time. While outdoor access benefits clinically lame cows, its effect on nonclinically lame cows is less known. This study evaluated 1 h daily outdoor access on gait and
Externí odkaz:
https://doaj.org/article/52e0686035764ba18d5a41ebcab2f105
Publikováno v:
Animal, Vol 18, Iss 9, Pp 101281- (2024)
Selecting and raising dairy animals that are more likely to reach their potential is a strategy to increase milk production efficiency and overall profitability. However, indicators are necessary for the early identification of animals that are less
Externí odkaz:
https://doaj.org/article/a21f82efc7fe4a0d8c00473fdfab0b4f
Publikováno v:
Animal, Vol 16, Iss 10, Pp 100641- (2022)
The use of prerecorded data to remotely assess the herd welfare status is a promising approach to reduce the need for costly and time-consuming on-farm welfare assessments. Therefore, the objective of this study was to validate the Herd Status Index,
Externí odkaz:
https://doaj.org/article/88ae91add29549fcadc90df64d38a3da
Keeping profitable cows in the herd: A lifetime cost-benefit assessment to support culling decisions
Autor:
D. Warner, G.M. Dallago, O.W. Dovoedo, R. Lacroix, H.A. Delgado, R.I. Cue, K.M. Wade, J. Dubuc, D. Pellerin, E. Vasseur
Publikováno v:
Animal, Vol 16, Iss 10, Pp 100628- (2022)
Increasing the productive lifespan of dairy cows is important to achieve a sustainable dairy industry, but making strategic culling decisions based on cow profitability is challenging for farmers. The objective of this study was to carry out a lifeti
Externí odkaz:
https://doaj.org/article/a0783157dcc44cfab896bc20b35bf121
Autor:
A. Zambelis, M. Saadati, G.M. Dallago, P. Stecko, V. Boyer, J.-P. Parent, M. Pedersoli, E. Vasseur
Publikováno v:
Smart Agricultural Technology, Vol 1, Iss , Pp 100015- (2021)
Animal welfare research has raised concerns regarding the intensification of farm animal housing systems that offer limited opportunity for movement. Applying deep learning models to location tracking provides an opportunity for accurate and timely m
Externí odkaz:
https://doaj.org/article/cb95537e73f84eba862b6246509f241d
Akademický článek
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Autor:
K.L.C. Paula, J.K. Valentim, S.R.F. Pinheiro, D.M.C. Castiblanco, A.S. Santos, G.M. Dallago, D.A. Miranda, F.S. Dalólio
Publikováno v:
Revista Brasileira de Ciências Agrárias - Brazilian Journal of Agricultural Sciences. 16:1-6
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca9bd1de2a7d994c83be1558df6e6a1e
https://doi.org/10.5039/agraria.v16i4a9056
https://doi.org/10.5039/agraria.v16i4a9056
Autor:
V. Boyer, G.M. Dallago, M. Saadati, Marco Pedersoli, Elsa Vasseur, A. Zambelis, J.-P. Parent, P. Stecko
Publikováno v:
Smart Agricultural Technology, Vol 1, Iss, Pp 100015-(2021)
Animal welfare research has raised concerns regarding the intensification of farm animal housing systems that offer limited opportunity for movement. Applying deep learning models to location tracking provides an opportunity for accurate and timely m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26583c16a44104077531c6f7055ab896
http://www.sciencedirect.com/science/article/pii/S2772375521000150
http://www.sciencedirect.com/science/article/pii/S2772375521000150
Akademický článek
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Akademický článek
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