Zobrazeno 1 - 10
of 196
pro vyhledávání: '"Lassen, Jan"'
Autor:
van Staaveren, Nienke *, Rojas de Oliveira, Hinayah *, Houlahan, Kerry *, Chud, Tatiane C.S., Oliveira Jr., Gerson A., Hailemariam, Dagnachew, Kistemaker, Gerrit, Miglior, Filippo, Plastow, Graham, Schenkel, Flavio S., Cerri, Ronaldo, Sirard, Marc Andre, Stothard, Paul, Pryce, Jennie, Butty, Adrien, Stratz, Patrick, Abdalla, Emhimad A.E., Segelke, Dierck, Stamer, Eckhard, Thaller, Georg, Lassen, Jan, Manzanilla-Pech, Coralia Ines V., Stephansen, Rasmus B., Charfeddine, Noureddine, García-Rodríguez, Aser, González-Recio, Oscar, López-Paredes, Javier, Baldwin, Ransom, Burchard, Javier, Parker Gaddis, Kristen L., Koltes, James E., Peñagaricano, Francisco, Santos, José Eduardo P., Tempelman, Robert J., VandeHaar, Michael, Weigel, Kent, White, Heather, Baes, Christine F. †
Publikováno v:
In Journal of Dairy Science March 2024 107(3):1510-1522
Publikováno v:
In Journal of Dairy Science December 2023 106(12):9006-9015
Publikováno v:
In Applied Ocean Research April 2022 121
Autor:
Sorg, Diana, Difford, Gareth F., Mühlbach, Sarah, Kuhla, Björn, Swalve, Hermann H., Lassen, Jan, Strabel, Tomasz, Pszczola, Marcin
Publikováno v:
In Computers and Electronics in Agriculture October 2018 153:285-294
Publikováno v:
Manzanilla Pech, C I V, Stephansen, R B & Lassen, J 2023, ' Genetic parameters for feed intake and body weight in dairy cattle using high throughput 3D cameras in Danish commercial farms ', Journal of Dairy Science .
Recording difficult phenotypes on a large scale is becoming possible with the incorporation of recently developed new technologies. One of these new technologies is the use of 3D cameras on commercial farms to measure feed intake and body weight (BW)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pure_au_____::d6be34dd938015d97e4c5ca8bafba974
https://pure.au.dk/portal/da/publications/genetic-parameters-for-feed-intake-and-body-weight-in-dairy-cattle-using-high-throughput-3d-cameras-in-danish-commercial-farms(163a55e2-4430-4f85-bf86-76e619fbe7ea).html
https://pure.au.dk/portal/da/publications/genetic-parameters-for-feed-intake-and-body-weight-in-dairy-cattle-using-high-throughput-3d-cameras-in-danish-commercial-farms(163a55e2-4430-4f85-bf86-76e619fbe7ea).html
Publikováno v:
In Journal of Dairy Science December 2016 99(12):9857-9863
Autor:
Lassen, Jan, Løvendahl, Peter
Publikováno v:
In Journal of Dairy Science March 2016 99(3):1959-1967
Autor:
Negussie, Enyew, González-Recio, Oscar, Battagin, Mara, Bayat, Ali-Reza, Boland, Tommy M., de Haas, Yvette, García-Rodríguez, Aser, Garnsworthy, P. C., Gengler, Nicolas, Kreuzer, Michael, Kuhla, Björn, Lassen, Jan, Peiren, Nico, Pszczola, Marcin, Schwarm, Angela, Soyeurt, Hélène, Vanlierde, Amélie, Yan, Tianhai, Biscarini, Filippo
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
Journal of Dairy Science, 105 (6)
Journal of dairy science (2022): 1–17. doi:10.3168/jds.2021-20158
info:cnr-pdr/source/autori:Negussie E.; Gonzalez-Recio O.; Battagin M.; Bayat A.-R.; Boland T.; de Haas Y.; Garcia-Rodriguez A.; Garnsworthy P.C.; Gengler N.; Kreuzer M.; Kuhla B.; Lassen J.; Peiren N.; Pszczola M.; Schwarm A.; Soyeurt H.; Vanlierde A.; Yan T.; Biscarini F./titolo:Integrating heterogeneous across-country data for proxy-based random forest prediction of enteric methane in dairy cattle/doi:10.3168%2Fjds.2021-20158/rivista:Journal of dairy science/anno:2022/pagina_da:1/pagina_a:17/intervallo_pagine:1–17/volume
Journal of Dairy Science (JDS)
Journal of Dairy Science, 105(6), 5124-5140
Journal of Dairy Science 105 (2022) 6
instname
Journal of Dairy Science, 105 (6)
Journal of dairy science (2022): 1–17. doi:10.3168/jds.2021-20158
info:cnr-pdr/source/autori:Negussie E.; Gonzalez-Recio O.; Battagin M.; Bayat A.-R.; Boland T.; de Haas Y.; Garcia-Rodriguez A.; Garnsworthy P.C.; Gengler N.; Kreuzer M.; Kuhla B.; Lassen J.; Peiren N.; Pszczola M.; Schwarm A.; Soyeurt H.; Vanlierde A.; Yan T.; Biscarini F./titolo:Integrating heterogeneous across-country data for proxy-based random forest prediction of enteric methane in dairy cattle/doi:10.3168%2Fjds.2021-20158/rivista:Journal of dairy science/anno:2022/pagina_da:1/pagina_a:17/intervallo_pagine:1–17/volume
Journal of Dairy Science (JDS)
Journal of Dairy Science, 105(6), 5124-5140
Journal of Dairy Science 105 (2022) 6
Direct measurements of methane (CH4) from individual animals are difficult and expensive. Predictions based on proxies for CH4 are a viable alternative. Most prediction models are based on multiple linear regressions (MLR) and predictor variables tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::445cfc8e73cb7c6742c3178e3822ba26
http://hdl.handle.net/10261/269388
http://hdl.handle.net/10261/269388
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