Nitrogen effects in sugar beet growing: a module for decision support.
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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dig-wur-nl-wurpubs-337232024-06-25 Smit, A.B. Struik, P.C. van Niejenhuis, J.H. Article/Letter to editor Netherlands Journal of Agricultural Science 43 (1995) ISSN: 0028-2928 Nitrogen effects in sugar beet growing: a module for decision support. 1995 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. en application/pdf https://research.wur.nl/en/publications/nitrogen-effects-in-sugar-beet-growing-a-module-for-decision-supp 10.18174/njas.v43i4.562 https://edepot.wur.nl/39543 Life Science Wageningen University & Research |
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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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Article/Letter to editor |
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Life Science |
author |
Smit, A.B. Struik, P.C. van Niejenhuis, J.H. |
author_facet |
Smit, A.B. Struik, P.C. van Niejenhuis, J.H. |
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Smit, A.B. |
title |
Nitrogen effects in sugar beet growing: a module for decision support. |
title_short |
Nitrogen effects in sugar beet growing: a module for decision support. |
title_full |
Nitrogen effects in sugar beet growing: a module for decision support. |
title_fullStr |
Nitrogen effects in sugar beet growing: a module for decision support. |
title_full_unstemmed |
Nitrogen effects in sugar beet growing: a module for decision support. |
title_sort |
nitrogen effects in sugar beet growing: a module for decision support. |
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https://research.wur.nl/en/publications/nitrogen-effects-in-sugar-beet-growing-a-module-for-decision-supp |
work_keys_str_mv |
AT smitab nitrogeneffectsinsugarbeetgrowingamodulefordecisionsupport AT struikpc nitrogeneffectsinsugarbeetgrowingamodulefordecisionsupport AT vanniejenhuisjh nitrogeneffectsinsugarbeetgrowingamodulefordecisionsupport |
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