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dc.contributor.authorRodriguez, Divina Gracia P.
dc.contributor.authorBullock, David S.
dc.contributor.authorBoerngen, Maria A.
dc.date.accessioned2019-09-17T08:37:49Z
dc.date.available2019-09-17T08:37:49Z
dc.date.created2019-05-24T13:08:38Z
dc.date.issued2019
dc.identifier.citationAgronomy Journal. 2019, 111 (2), 725-735.nb_NO
dc.identifier.issn0002-1962
dc.identifier.urihttp://hdl.handle.net/11250/2617147
dc.description.abstractWe examine the origins, implications, and consequences of yield-based N fertilizer management. Yield-based algorithms have dominated N fertilizer management of corn (Zea mays) in the United States for almost 50 yr, and similar algorithms have been used all over the world to make fertilizer recommendations for other crops. Beginning in the mid-1990s, empirical research started to show that yield-based rules-of-thumb in general are not a useful guide to fertilizer management. Yet yield-based methods continue to be widely used, and are part of the principal algorithms of nearly all current “decision tool” software being sold to farmers for N management. We present details of the theoretical and empirical origins of yield-based management algorithms, which were introduced by George Stanford (1966, 1973) as a way to make N fertilizer management less reliant on data. We show that Stanford’s derivation of his “1.2 Rule” was based on very little data, questionable data omissions, and negligible and faulty statistical analysis. We argue that, nonetheless, researchers, outreach personnel, and private-sector crop management consultants were obliged to give some kind of N management guidance to farmers. Since data generation is costly, it is understandable that a broad, “ball park” rule-of-thumb was developed, loosely based on agronomic principles. We conclude by suggesting that technology changes now allow for exciting new possibilities in data-intensive fertilizer management research, which may lead to more efficient N management possibilities in the near future.nb_NO
dc.language.isoengnb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectDIFMnb_NO
dc.subjectData-Intensive Farm Managementnb_NO
dc.subjectEONRnb_NO
dc.subjectEconomically optimal nitrogen ratenb_NO
dc.titleThe Origins, Implications, and Consequences of Yield-Based Nitrogen Fertilizer Managementnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.rights.holderCopyright © 2019 by the American Society of Agronomynb_NO
dc.source.pagenumber725-735nb_NO
dc.source.volume111nb_NO
dc.source.journalAgronomy Journalnb_NO
dc.source.issue2nb_NO
dc.identifier.doi10.2134/agronj2018.07.0479
dc.identifier.cristin1700091
dc.relation.projectAndre: USDA Nat Inst of Food and Agr Food Sec Pr - 2016-68004-24769nb_NO
dc.relation.projectAndre: USDA NIFA’s Hatch Project 470-362nb_NO
cristin.unitcode7677,1,0,0
cristin.unitnameDivisjon for matproduksjon og samfunn
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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