Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 33723
Title Nitrogen effects in sugar beet growing: a module for decision support.
Author(s) Smit, A.B.; Struik, P.C.; Niejenhuis, J.H. van
Source Netherlands Journal of Agricultural Science 43 (1995). - ISSN 0028-2928 - p. 391 - 408.
Department(s) Agronomy
Publication type Refereed Article in a scientific journal
Publication year 1995
Keyword(s) beta vulgaris - decision making - linear programming - management - models - nitrogen - nitrogen fertilizers - operations research - research - simulation - soil - sugarbeet - work flow - yield increases - yield losses - yields
Categories Crop Husbandry
Abstract PIEteR, a field-specific production model for sugarbeet in the Netherlands, is described. The model was developed as a basis for decision support, for example in determining N fertilizer requirements. Root and sugar yields, sugar content, (K Na) and alpha -amino-N contents, extractability index, operating receipts (a measure for financial returns) and residual nitrogen in leaves are modelled as function of N availability, defined as (N-fertilizer rate Nmin, 0-60 cm (soil, February)), and included in PIEteR as a so-called 'N-module'. Analysis of experimental data showed that root and sugar yield were optimal at 240 and 200 kg N ha-1, respectively. Sugar content and extractability index decreased, and (K Na) and alpha -amino-N contents and fresh leaf yield increased with increasing N-availability. The operating receipts were optimal with 180 kg ha-1, or with a nitrogen fertilizer rate of 130 kg ha-1, assuming an Nmin-amount in soil in February of 50 kg ha-1. The results of the analysis were the basis for the functions in the N-module. In an independent test on data of 100 fields, the prediction errors for root and sugar yields and financial results decreased by about 2% and the explained variances increased by about 15% by including the N-module.
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