The response of a sorghum sudangrass cover crop to residual nitrogen and its relationship with spectral sensors

IF 1.3 Q3 AGRONOMY Agrosystems, Geosciences & Environment Pub Date : 2024-08-04 DOI:10.1002/agg2.20557
Julia Barra Netto-Ferreira, Diego Arruda Huggins de Sá Leitão, Winniefred Griffin, Lakesh K. Sharma, Gabriel Maltais-Landry
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Abstract

A sorghum sudangrass (SSG) cover crop grown after a cash crop could take up residual nitrogen (N) before it is lost. As in-field monitoring of SSG properties is laborious, predicting biomass and N concentrations with spectral sensors could be useful. At two sites in Live Oak, Florida, we evaluated the response of SSG to residual N from previous N fertilization and the performance of handheld and satellite sensors in estimating SSG properties. We quantified aboveground biomass, plant N, leaf greenness (NDVI), net potential N mineralization (PNM), and soil permanganate oxidizable carbon (POXC). Residual N did not affect SSG properties, PNM was highest at the highest N input rate in one site, and soil POXC was correlated with SSG properties (biomass and plant N). NDVI measured from a handheld sensor better predicted SSG properties than satellite imagery in these small plots, suggesting a greater potential to be a useful management tool.

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高粱苏丹草覆盖作物对残留氮的反应及其与光谱传感器的关系
在经济作物之后种植高粱苏丹草(SSG)覆盖作物,可以在氮素流失之前吸收残余氮素(N)。由于在田间监测高粱菅草的特性非常费力,因此利用光谱传感器预测生物量和氮浓度可能非常有用。在佛罗里达州活橡树的两个地点,我们评估了 SSG 对之前氮肥施用后残留氮的反应,以及手持式传感器和卫星传感器在估计 SSG 特性方面的性能。我们对地上生物量、植物氮、叶片绿度(NDVI)、净潜在氮矿化度(PNM)和土壤高锰酸盐可氧化碳(POXC)进行了量化。残留氮不影响 SSG 特性,在一个地点,氮输入率最高时 PNM 最高,土壤 POXC 与 SSG 特性(生物量和植物氮)相关。在这些小地块中,通过手持传感器测量的 NDVI 比卫星图像能更好地预测 SSG 特性,这表明它更有可能成为一种有用的管理工具。
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来源期刊
Agrosystems, Geosciences & Environment
Agrosystems, Geosciences & Environment Agricultural and Biological Sciences-Agricultural and Biological Sciences (miscellaneous)
CiteScore
2.60
自引率
0.00%
发文量
80
审稿时长
24 weeks
期刊最新文献
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