Zobrazeno 1 - 10
of 417
pro vyhledávání: '"S, Lerch"'
Publikováno v:
JDS Communications, Vol 5, Iss 4, Pp 283-286 (2024)
Precise in vivo measurement of reticulo-rumen content (volume and mass) is required for the study of digestive processes. Rumen-cannulated animals have been classically used for this purpose, and less invasive alternatives are currently investigated
Externí odkaz:
https://doaj.org/article/7211eb5c9e784668b339c8773470efc2
Autor:
C. Xavier, I. Morel, R. Siegenthaler, F. Dohme-Meier, S. Dubois, T. Luginbühl, Y. Le Cozler, S. Lerch
Publikováno v:
Animal, Vol 18, Iss 6, Pp 101174- (2024)
The dynamics of cattle body chemical composition during growth and fattening periods determine animal performance and beef carcass quality. The aim of this study was to estimate the empty body (EB) and carcass chemical composition of growing beef-on-
Externí odkaz:
https://doaj.org/article/a494d6a08f2c4f77a16f594e2913c3bb
Autor:
J. Demaeyer, J. Bhend, S. Lerch, C. Primo, B. Van Schaeybroeck, A. Atencia, Z. Ben Bouallègue, J. Chen, M. Dabernig, G. Evans, J. Faganeli Pucer, B. Hooper, N. Horat, D. Jobst, J. Merše, P. Mlakar, A. Möller, O. Mestre, M. Taillardat, S. Vannitsem
Publikováno v:
Earth System Science Data, Vol 15, Pp 2635-2653 (2023)
Statistical postprocessing of medium-range weather forecasts is an important component of modern forecasting systems. Since the beginning of modern data science, numerous new postprocessing methods have been proposed, complementing an already very di
Externí odkaz:
https://doaj.org/article/144bb11863294241bac719d5cb6e5518
Publikováno v:
Earth System Dynamics, Vol 13, Pp 1157-1165 (2022)
The Madden–Julian Oscillation (MJO) is a major source of predictability on the sub-seasonal (10 to 90 d) timescale. An improved forecast of the MJO may have important socioeconomic impacts due to the influence of MJO on both tropical and extratropi
Externí odkaz:
https://doaj.org/article/fdafe5ceaeec4960a7514b80bf01cede
Publikováno v:
Nonlinear Processes in Geophysics, Vol 27, Pp 349-371 (2020)
Many practical applications of statistical post-processing methods for ensemble weather forecasts require accurate modeling of spatial, temporal, and inter-variable dependencies. Over the past years, a variety of approaches has been proposed to addre
Externí odkaz:
https://doaj.org/article/b84b0e29d49b449994bf28c0ca8236b4
Publikováno v:
Nonlinear Processes in Geophysics, Vol 27, Pp 23-34 (2020)
Non-homogeneous regression is a frequently used post-processing method for increasing the predictive skill of probabilistic ensemble weather forecasts. To adjust for seasonally varying error characteristics between ensemble forecasts and correspondin
Externí odkaz:
https://doaj.org/article/45b44bcb74d14457a9b1a17a7ae05539
Publikováno v:
Nonlinear Processes in Geophysics, Vol 27, Pp 519-521 (2020)
The special issue on advances in post-processing and blending of deterministic and ensemble forecasts is the outcome of several successful successive sessions organized at the General Assembly of the European Geosciences Union. Statistical post-proce
Externí odkaz:
https://doaj.org/article/fee2fbb89edf4270808eb5f70a59fb64
Publikováno v:
Animal - Open Space. 2:100030
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ae2c3f9d5c199904222e0099d7a5d5b
https://doi.org/10.1016/j.anopes.2022.100030
https://doi.org/10.1016/j.anopes.2022.100030
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Akademický článek
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