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Integrating canopy sensing and soil nitrogen for improved corn nitrogen management
Agronomy Journal ( IF 2.1 ) Pub Date : 2020-12-29 , DOI: 10.1002/agj2.20566
Gabriel Dias Paiao 1 , Fabián G. Fernández 1 , Jared A. Spackman 1 , Daniel E. Kaiser 1 , Sanford Weisberg 2
Affiliation  

Active canopy sensing may improve corn (Zea mays L.) nitrogen (N) management, but little has been done to evaluate soil N content to improve the utility of sensors. This study investigated the usefulness of integrating canopy sensing tools and soil N content to estimate grain yield and N requirement at various corn development stages. Six to seven N rates at 35–45 kg urea‐N ha–1 increments were pre‐plant applied in 12 sites throughout Minnesota. Canopy‐sensing measurements were obtained at the V4, V8, V12, and R1 stages. Soil (0–30 and 0–60 cm) NH4–N and NO3–N concentrations were measured at the V4, V8, and V12 stages. Adjusting sensor measurements with soil NO3–N (0–30 cm) measured at the V4 stage provided the best trade‐off between gains in prediction accuracy and practicality for soil sampling. At the V4 stage, predictions of N requirement with soil N alone (RMSE = 41.3 kg N ha–1) and soil‐N–adjusted sensor measurements (RMSE ranging from 39.6 to 42.7 kg N ha–1) were similar but better than predictions with unadjusted sensor measurements (RMSE ranging from 61.0 to 72.9 kg N ha–1). Although the utility of canopy sensing without soil‐N adjustments improved at later development stages, the most accurate predictions of N requirement were obtained with soil‐N–adjusted sensor measurements collected at V8 and V12 (RMSE as low as 32.5 kg N ha–1). Our study shows that early‐season canopy sensing (up to V8) coupled with soil N measurements may be a viable alternative to improve in‐season N management.

中文翻译:

结合冠层感应和土壤氮素,改善玉米氮素管理

主动冠层感测可以改善玉米(Zea mays L.)氮(N)的管理,但是很少进行评估土壤N含量以提高传感器实用性的工作。这项研究调查了整合冠层感测工具和土壤N含量以估算玉米不同发育阶段的籽粒产量和N需求的有用性。 在明尼苏达州的12个工厂中,以35–45 kg尿素-N ha –1的增量施用六到七个氮肥。在V4,V8,V12和R1阶段获得了机盖感应测量值。在V4,V8和V12阶段测量了土壤(0–30和0–60 cm)的NH 4– N和NO 3– N浓度。用土壤NO 3调整传感器的测量值在V4阶段测得的–N(0–30 cm)可在预测精度和土壤采样实用性之间取得最佳平衡。在V4阶段,仅土壤N(RMSE = 41.3 kg N ha –1)和土壤-N调整后的传感器测量值(RMSE范围从39.6至42.7 kg N ha –1)的氮需求预测是相似的,但好于预测未经调整的传感器测量值(RMSE范围从61.0到72.9 kg N ha –1)。尽管在以后的开发阶段无需进行土壤-N调整的冠层感测的实用性得到了改善,但是通过在V8和V12处进行土壤-N调整的传感器测量(RMSE低至32.5 kg N ha –1),可以最准确地预测氮需求。)。我们的研究表明,早期冠层感测(最高V8)与土壤氮素测量相结合,可能是改善季节氮素管理的可行替代方案。
更新日期:2020-12-29
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