Predicting N Status in Maize with Clip Sensors: Choosing Sensor, Leaf Sampling Point, and Timing
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 stud...
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doaj-5380c2392404409399c4c364acdf63dc2020-11-25T02:01:01ZengMDPI AGSensors1424-82202019-09-011918388110.3390/s19183881s19183881Predicting N Status in Maize with Clip Sensors: Choosing Sensor, Leaf Sampling Point, and TimingJose Luis Gabriel0Miguel Quemada1María Alonso-Ayuso2Jon I. Lizaso3Diana Martín-Lammerding4Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA-INAGEA), 28040 Madrid, SpainCEIGRAM, Universidad Politécnica de Madrid, 28040 Madrid, SpainCEIGRAM, Universidad Politécnica de Madrid, 28040 Madrid, SpainCEIGRAM, Universidad Politécnica de Madrid, 28040 Madrid, SpainInstituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA-INAGEA), 28040 Madrid, SpainNitrogen (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<sup>®</sup> and Dualex<sup>®</sup>) 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.https://www.mdpi.com/1424-8220/19/18/3881chlorophyllpolyphenolnutrient deficiencyfertilizationprecision agriculture |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jose Luis Gabriel Miguel Quemada María Alonso-Ayuso Jon I. Lizaso Diana Martín-Lammerding |
spellingShingle |
Jose Luis Gabriel Miguel Quemada María Alonso-Ayuso Jon I. Lizaso Diana Martín-Lammerding Predicting N Status in Maize with Clip Sensors: Choosing Sensor, Leaf Sampling Point, and Timing Sensors chlorophyll polyphenol nutrient deficiency fertilization precision agriculture |
author_facet |
Jose Luis Gabriel Miguel Quemada María Alonso-Ayuso Jon I. Lizaso Diana Martín-Lammerding |
author_sort |
Jose Luis Gabriel |
title |
Predicting N Status in Maize with Clip Sensors: Choosing Sensor, Leaf Sampling Point, and Timing |
title_short |
Predicting N Status in Maize with Clip Sensors: Choosing Sensor, Leaf Sampling Point, and Timing |
title_full |
Predicting N Status in Maize with Clip Sensors: Choosing Sensor, Leaf Sampling Point, and Timing |
title_fullStr |
Predicting N Status in Maize with Clip Sensors: Choosing Sensor, Leaf Sampling Point, and Timing |
title_full_unstemmed |
Predicting N Status in Maize with Clip Sensors: Choosing Sensor, Leaf Sampling Point, and Timing |
title_sort |
predicting n status in maize with clip sensors: choosing sensor, leaf sampling point, and timing |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2019-09-01 |
description |
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<sup>®</sup> and Dualex<sup>®</sup>) 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. |
topic |
chlorophyll polyphenol nutrient deficiency fertilization precision agriculture |
url |
https://www.mdpi.com/1424-8220/19/18/3881 |
work_keys_str_mv |
AT joseluisgabriel predictingnstatusinmaizewithclipsensorschoosingsensorleafsamplingpointandtiming AT miguelquemada predictingnstatusinmaizewithclipsensorschoosingsensorleafsamplingpointandtiming AT mariaalonsoayuso predictingnstatusinmaizewithclipsensorschoosingsensorleafsamplingpointandtiming AT jonilizaso predictingnstatusinmaizewithclipsensorschoosingsensorleafsamplingpointandtiming AT dianamartinlammerding predictingnstatusinmaizewithclipsensorschoosingsensorleafsamplingpointandtiming |
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