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• W2973038154 abstract "Nitrogen (N) losses from agricultural systems increase air and water pollution, and these losses are highly correlated with the excessive fertilization. An adjusted N fertilization is then a key factor in increasing the N fertilizer efficiency, and leaf clip sensors can help to improve it. This study (combining five different field experiments in Central Spain) tried to identify the ability of the clip sensors in maize N status identification and yield prediction, comparing two different devices (SPAD-502® and Dualex®) and identifying the best protocol for maize leaf sampling. As a result, the study demonstrated that different leaf clip chlorophyll sensors presented similar results, although some differences appeared at larger N concentrations. Complementary polyphenol information (as flavonol) can improve the maize N deficiency prediction. Moreover, valuable information for a proper sampling protocol was obtained with this study. It proved that the sampling position (in the leaf and in the plant) and sampling time were crucial for a better estimation of the maize N status. Proper fertilization recommendations could be achieved based on clip chlorophyll sensor measurements." @default.
• W2973038154 created "2019-09-19" @default.
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• W2973038154 date "2019-09-09" @default.
• W2973038154 modified "2023-09-30" @default.
• W2973038154 title "Predicting N Status in Maize with Clip Sensors: Choosing Sensor, Leaf Sampling Point, and Timing" @default.
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• W2973038154 doi "https://doi.org/10.3390/s19183881" @default.
• W2973038154 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6766790" @default.
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