Capability of crop canopy sensing to predict crop parameters of cut grass swards aiming at early season variable rate nitrogen top dressings

G. Portz, M. Gnyp, J. Jasper
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引用次数: 5

Abstract

This study aims to evaluate actual biomass and N-uptake estimates with the Yara N-Sensor in intensively managed grass swards across several trial sites in Europe. The dataset was split by location into an independent calibration data (UK and Finland) and a validation data (Germany) for the first two cuts. Yara N-Sensor readings were better correlated with N-uptake (R²=0.71) than actual biomass (R²=0.53) for the 1ˢᵗ cut. At the 2ⁿᵈ cut, the R² values for both parameters were higher (0.80 and 0.56). A cross-validation with a German grass trial indicated the potential for predicting N-uptake (R²>0.8). It can be concluded that the technology has the potential to guide management decisions and variable rate nitrogen application on European grass swards.
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作物冠层遥感对刈割草地早季变量氮肥作物参数的预测能力
本研究旨在利用Yara N-Sensor在欧洲几个试验点的集约化管理的草地上评估实际生物量和n吸收估计。数据集按位置分为独立的校准数据(英国和芬兰)和前两次切割的验证数据(德国)。Yara N-Sensor读数与n吸收率(R²=0.71)的相关性优于实际生物量(R²=0.53)。在2 * *切割处,两个参数的R²值更高(0.80和0.56)。与德国草试验的交叉验证表明,预测氮吸收的潜力(R²>0.8)。可以得出结论,该技术具有指导欧洲草地管理决策和可变速率氮施用的潜力。
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Proceedings of the British Society of Animal Science Proceedings of the XIIIth International Symposium on Ruminant Physiology (ISRP 2019) Proceedings of the British Society of Animal Science Proceedings of the Seventeenth Biennial Conference of the Australasian Pig Science Association (APSA) Proceedings of the 9th Workshop on Modelling Nutrient Digestion and Utilization in Farm Animals (MODNUT)
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