HEAL DSpace

Adapting the potentially mineralizable N concept for the prediction of fertilizer N requirements

Αποθετήριο DSpace/Manakin

Εμφάνιση απλής εγγραφής

dc.contributor.author Campbell, CA en
dc.contributor.author Jame, YW en
dc.contributor.author Akinremi, OO en
dc.contributor.author Cabrera, ML en
dc.date.accessioned 2014-06-06T06:42:45Z
dc.date.available 2014-06-06T06:42:45Z
dc.date.issued 1995 en
dc.identifier.issn 01671731 en
dc.identifier.uri http://dx.doi.org/10.1007/BF00750500 en
dc.identifier.uri http://62.217.125.90/xmlui/handle/123456789/797
dc.subject CERES model en
dc.subject crop rotations en
dc.subject fertilizer N requirements en
dc.subject LEACHM model en
dc.subject potentially mineralizable N en
dc.subject.other crop rotation en
dc.subject.other fertilizer en
dc.subject.other nitrogen en
dc.title Adapting the potentially mineralizable N concept for the prediction of fertilizer N requirements en
heal.type journalArticle en
heal.identifier.primary 10.1007/BF00750500 en
heal.publicationDate 1995 en
heal.abstract Quantification of N dynamics in the ecosystem has taken on major significance in today's society, for economic and environmental reasons. A major fraction of the available N in soils is derived from the mineralization of organic matter. For decades, scientists have attempted to quantify the rate at which soils mineralize N, but the complexity of the N cycle has made this a major task. Further, agronomists have long sought soil test methods that are practical, yet will provide accurate means of predicting the amounts and rates of release of N from soils. Such tests would allow us to make more precise fertilization decisions. This paper discusses the potentially mineralizable N concept, first promoted by Stanford and colleagues [61, 62, 64], and suggests how it may be incorporated into deterministic models, such as CERES and LEACHM, so as to provide more accurate estimates of N mineralization under field conditions. We also suggest how the potentially mineralizable N concept may be coupled to quick, routine laboratory methods of determining available soil N, such as the hot 2 M KCl extracted NH4-N method recently developed by Gianello and Bremner [35], and used together with deterministic N models, such as CERES, for predicting probable fertilizer N requirements. © 1995 Kluwer Academic Publishers. en
heal.publisher Kluwer Academic Publishers en
heal.journalName Fertilizer Research en
dc.identifier.issue 1-3 en
dc.identifier.volume 42 en
dc.identifier.doi 10.1007/BF00750500 en
dc.identifier.spage 61 en
dc.identifier.epage 75 en


Αρχεία σε αυτό το τεκμήριο

Αρχεία Μέγεθος Μορφότυπο Προβολή

Δεν υπάρχουν αρχεία που σχετίζονται με αυτό το τεκμήριο.

Αυτό το τεκμήριο εμφανίζεται στην ακόλουθη συλλογή(ές)

Εμφάνιση απλής εγγραφής

Αναζήτηση DSpace


Σύνθετη Αναζήτηση

Αναζήτηση

Ο Λογαριασμός μου

Στατιστικές