2017
DOI: 10.1111/gfs.12284
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Development of an algorithm for relating pasture nitrogen status to yield response curves

Abstract: Determination of optimum nitrogen (N) fertilization rates which maximize pasture growth is challenging due to variability in plant requirements and likely near‐future supply of N by the soil. Remote sensing can be used for mapping N nutrition status of plants and to rapidly assess the spatial variability within a field. An algorithm is, however, lacking which relates the N status of the plants to the expected yield response to additions of N. An algorithm was developed based on a simulation study carried out u… Show more

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Cited by 3 publications
(1 citation statement)
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“…where Y is the grain yield (kg DM ha −1 ), Y max is the maximum yield under the climatic and edaphic conditions (kg DM ha −1 ), N r is the rate of N applied (kg N ha −1 ), Y 0 is the yield when no external N is applied (N r = 0), and β is an 'activity' coefficient, which is a measure of the availability of the applied nutrient to the crop. Following Vogeler et al [31], it is assumed that both Y 0 and β are dependent on the N uptake during early development:…”
Section: Methodsmentioning
confidence: 99%
“…where Y is the grain yield (kg DM ha −1 ), Y max is the maximum yield under the climatic and edaphic conditions (kg DM ha −1 ), N r is the rate of N applied (kg N ha −1 ), Y 0 is the yield when no external N is applied (N r = 0), and β is an 'activity' coefficient, which is a measure of the availability of the applied nutrient to the crop. Following Vogeler et al [31], it is assumed that both Y 0 and β are dependent on the N uptake during early development:…”
Section: Methodsmentioning
confidence: 99%