المؤلفون: Negussie, E., Gonzàlez Recto, O., de Haas, Y., Gengler, Nicolas, Soyeurt, Hélène, Peiren, N., Pszczola, M., Garnsworthy, P., Battagin, M., Bayat, A., Lassen, J., Yan, T., Boland, T., Kuhla, B., Strabel, T., Schwarm, A., Vanlierde, Amélie, Biscarini, F.

المصدر: Combining heterogeneous across-country data for prediction of enteric methane from proxies in dairy cattle. In Proceedings of the World Congress on Genetics Applied to Livestock Production. (2018).

مصطلحات موضوعية: enteric methane, heterogeneous data, prediction accuracy, methane proxies, random forest, dairy cattle, Life sciences :: Animal production & animal husbandry, Sciences du vivant :: Productions animales & zootechnie

جغرافية الموضوع: international

Relation: World Congress on Genetics Applied to Livestock Production (WCGALP) (February 2018)

URL الوصول: https://orbi.uliege.be/handle/2268/235423

المؤلفون: Negussi, Enyew, González Recio, Oscar, de Haas, Yvette, Gengler, Nicolas, Soyeurt, Hélène, Vanlierde, Amélie, Peiren, Nico, Pszczola, Marcin, Garnsworthy, Phil, Battagin, Mara, Bayat, Alireza, Lassen, Jan, Yan, Tianhai, Boland, Tommy, Kuhla, Björn, Strabel, Tomasz, Schwarm, Angela, Biscarini, Filippo

المصدر: Proceedings of the World Congress on Genetics Applied to Livestock Production
Proceedings of the World Congress on Genetics Applied to Livestock Production. Volume: Methods and Tools-Prediction 2
World Congress on Genetics Applied to Livestock Production (11th WCGALP 2018), pp. 1–8, Auckland, New Zealand, 11/02/2018-16/02/2018
info:cnr-pdr/source/autori:Enyew Negussie, Oscar González Recio, Yvette de Haas, Nicolas Gengler, Hélène Soyeurt, Amélie Vanlierde, Nico Peiren, Marcin Pszczola, Phil Garnsworthy, Mara Battagin, Alireza Bayat, Jan Lassen, Tianhai Yan, Tommy Boland, Björn Kuhla, Tomasz Strabel, Angela Schwarm, Filippo Biscarini/congresso_nome:World Congress on Genetics Applied to Livestock Production (11th WCGALP 2018)/congresso_luogo:Auckland, New Zealand/congresso_data:11%2F02%2F2018-16%2F02%2F2018/anno:2018/pagina_da:1/pagina_a:8/intervallo_pagine:1–8

مصطلحات موضوعية: methane proxies, prediction accuracy, dairy cattle, WIAS, Life Science, heterogeneous data, Fokkerij & Genomica, Enteric methane, Heterogeneous data, Prediction accuracy, Methane proxies, Random forest, Dairy cattle, random forest, enteric methane, Animal Breeding & Genomics

وصف الملف: application/pdf; application/application/pdf; application/octet-stream

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a56aa93fd560f4e05ad9f44559af726
https://research.wur.nl/en/publications/combining-heterogeneous-across-country-data-for-prediction-of-ent