Potential of imaging spectroscopy as tool for pasture management
Potential of imaging spectroscopy as tool for pasture management
复制标题
成像光谱作为牧场管理工具的潜力
DOI:
10.1111/j.1365-2494.2005.00449.x
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发表时间:
2005
影响因子:
2.4
通讯作者:
G. Kasper
中科院分区:
文献类型:
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作者:
A. Schut;C. Lokhorst;M. Hendriks;J. Kornet;G. Kasper
The use of imaging spectroscopy to predict the herbage mass of dry matter (DM), DM content of herbage and crude fibre, ash, total sugars and mineral (N, P, K, S, Ca, Mg, Mn, Zn and Fe) concentrations was evaluated. The experimental system used measured reflectance between 404 and 1650 nm at high spatial (0·281·45 mm2) and spectral resolution. Data from two experiments with Lolium perenne L. mini-swards were used where the degree of sward damage or N-fertilizer application varied. Regression models were calibrated and validated and the potential reduction in prediction error with multiple observations was estimated. The mean prediction errors for DM mass, DM content and N, total sugars, ash and crude fibre concentrations were 235268 kg ha1, 9·616·8 g kg1, 2·43·4 g kg DM1, 16·227·7 g kg DM1, 5·86·5 g kg DM1 and 8·410·4 g kg DM1 respectively. The predictions for concentrations of P, K, S and Mg allowed identification of deficiency levels, in contrast to the concentrations of Na, Zn, Mn and Ca which could not be predicted with adequate precision. Prediction errors of DM mass may be maximally reduced to 95142 kg ha1 with 25 replicate measurements per field. It is concluded that imaging spectroscopy can provide an accurate means for assessment of DM mass of standing grass herbage. Predictions of macronutrient content and feeding value were satisfactory. The methodology requires further evaluation under field conditions.
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