Julkaisut - Selaus tekijän mukaan "Yvette, deHaas"

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    • Integrating heterogeneous across-country data for proxy-based random forest prediction of enteric methane in dairy cattle 

      Negussie, Enyew; Oscar, González-Recio; Mara, Battagin; Ali-Reza, Bayat; Tommy, Boland; Yvette, deHaas; Aser, Garcia-Rodriguez; Philip, Garnsworthy; Nicolas, Gengler; Michael, Kreuzer; Björn, Kuhla; Jan, Lassen; Nico, Peiren; Marcin, Pszczola; Angela, Schwarm; Hélène, Soyeurt; Amélie, Vanlierde; Tianhai, Yan; Filippo, Biscarini
      Journal of dairy science : 6 (Elsevier B.V., 2022)
      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) ...