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dc.contributor.authorPersson, Tomas
dc.contributor.authorHöglind, Mats
dc.contributor.authorvan Oijen, Marcel
dc.contributor.authorKorhonen, Panu
dc.contributor.authorPalosuo, Taru
dc.contributor.authorJégo, Guillaume
dc.contributor.authorVirkajärvi, Perttu
dc.contributor.authorBélanger, Gilles
dc.contributor.authorGustavsson, Anne-Maj
dc.date.accessioned2019-04-08T10:43:51Z
dc.date.available2019-04-08T10:43:51Z
dc.date.created2019-01-11T12:57:57Z
dc.date.issued2018-11-26
dc.identifier.citationField crops research (Print). 2018, 231 81-92.nb_NO
dc.identifier.issn0378-4290
dc.identifier.urihttp://hdl.handle.net/11250/2593680
dc.description.abstractDifferent forage grass models are used to simulate forage yield and nutritive attributes, but these models are seldom compared, particularly those for timothy (Phleum pratense L.), a widely grown forage grass species in agricultural regions with a cold temperate climate. We compared the models BASGRA, CATIMO and STICS for their predictions of timothy crude protein (CP) concentration, neutral detergent fibre (NDF) concentration and NDF digestibility (dNDF), three important forage nutritive attributes. Data on CP and NDF concentrations, and dNDF and the associated weather and soil data for seven cultivars, taken from eight field experiments in Canada, Finland, Norway, and Sweden, were divided into calibration and validation datasets. Model parameters were estimated for each cultivar separately (cultivar-specific calibration) and for all cultivars together (generic calibration), using different methods for the three models. Normalized root mean square error (RMSE) in prediction of CP concentration varied between 16 and 26% for BASGRA, 45 and 101% for CATIMO and 23 and 40% for STICS across the two calibration methods and the calibration and validation datasets. Normalised RMSE in prediction of NDF concentration varied between 8 and 13% for BASGRA, 14 and 21% for CATIMO and 8 and 12% for STICS, while for dNDF it varied between 7 and 22% for BASGRA, 7 and 38% for CATIMO and 5 and 6% for STICS. Cultivar-specific calibration improved the performance of CATIMO and STICS, but not BASGRA, compared with generic calibration. The prediction accuracy for NDF concentration and dNDF with the three models was within the same range or better than that for forage dry matter (DM) yield of timothy. Overall, the three models performed well in predicting some nutritive attributes and yield in Northern Europe and Canada, but improvements are required, particularly to increase the prediction accuracy of CP concentration.nb_NO
dc.language.isoengnb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectBASGRAnb_NO
dc.subjectCATIMOnb_NO
dc.subjectCrude proteinnb_NO
dc.subjectFibrenb_NO
dc.subjectForage grassnb_NO
dc.subjectGrasslandnb_NO
dc.subjectNDFnb_NO
dc.subjectdNDFnb_NO
dc.subjectSTICSnb_NO
dc.titleSimulation of timothy nutritive value: A comparison of three process-based modelsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.rights.holder© 2018 Elsevier B.V. All rights reservednb_NO
dc.subject.nsiVDP::Landbruks- og Fiskerifag: 900::Landbruksfag: 910::Planteforedling, hagebruk, plantevern, plantepatologi: 911nb_NO
dc.source.pagenumber81-92nb_NO
dc.source.volume231nb_NO
dc.source.journalField crops research (Print)nb_NO
dc.identifier.doi10.1016/j.fcr.2018.11.008
dc.identifier.cristin1654896
dc.relation.projectNorges forskningsråd: 250643nb_NO
dc.relation.projectAndre: 277403nb_NO
dc.relation.projectAndre: 292836nb_NO
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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