Evaluation of the Dualex for the Assessment of Corn Nitrogen Status

Tremblay, N.; Wang, Zhijie; Belec, C

doi:10.1080/01904160701555689

Cited by 51 publications

(45 citation statements)

References 29 publications

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“…This means that FLAV concentration was more relevant when the crop was more developed, even if the actual values were lower at flowering (Table 3). These results agree with other studies [28], which have shown a good correlation between SPAD and Chl Dualex ® readings in corn at seven different sampling dates.…”

Section: Optical Ground-level Measurementssupporting

confidence: 83%

“…FLAV and ANTH tended to decrease with increasing N application treatment, while the FERARI showed no difference between treatments. These results are in agreement with [8,28], who observed that N deficiency reduced Chl content and increased polyphenols. At stem elongation, the same trend was observed for indices obtained from leaf clip sensors, but results were unclear for Multiplex ® indices.…”

Section: Optical Ground-level Measurementssupporting

confidence: 82%

“…These results show the need to study crop N status and water stress together and support the idea of developing indices that can distinguish between both effects [42]. In some studies in which ground-level sensors were used [8,28], indices based on ratios between Chl and Phen (NBI, FERARI) were better indicators of N crop status than single Chl indices. This was not the case in our study, perhaps due to an interference between Phen accumulation due to crop water and N status.…”

Section: Application To N Fertilizer Recommendationmentioning

confidence: 82%

“…Since the epidermis absorbs UV-induced fluorescence, but transmits red light, epidermis absorbance can be determined by comparing both. The Nitrogen Balance Index (NBI), calculated as the ratio between Chl and FLAV content, has been used to assess N nutritional status in wheat and corn [11,28].…”

Section: Ground-level Optical Determinationsmentioning

confidence: 99%

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Airborne Hyperspectral Images and Ground-Level Optical Sensors As Assessment Tools for Maize Nitrogen Fertilization

2014

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Estimating crop nitrogen (N) status with sensors can be useful to adjust fertilizer levels to crop requirements, reducing farmers' costs and N losses to the environment. In this study, we evaluated the potential of hyperspectral indices obtained from field data and airborne imagery for developing N fertilizer recommendations in maize (Zea mays L.). Measurements were taken in a randomized field experiment with six N fertilizer rates ranging from zero to 200 kg·N·ha sensors, and airborne data were acquired by flying a hyperspectral and a thermal sensor 300 m over the experimental site. The hyperspectral imagery was used to calculate greenness, chlorophyll and photochemical indices for each plot. The Pearson coefficient was used to quantify the correlation between sensor readings and agronomic measurements. A statistical procedure based on the N-sufficient index was used to determine the accuracy of each index at distinguishing between N-deficient and N-sufficient plots. Indices based on airborne measurements were found to be as reliable as measurements taken with ground-level equipment at assessing crop N status and predicting yield at flowering. At stem elongation, the reflectance ratio, R750/R710, and fluorescence retrieval (SIF760) were the only indices that yielded significant results when compared to crop yield. Field-level SPAD readings, the airborne R750/R710 index and SIF760 had the lowest error rates when distinguishing N-sufficient OPEN ACCESSRemote Sens. 2014, 6 2941 from N-deficient treatments, but error reduction is still recommended before commercial field application.

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Section: Optical Ground-level Measurementssupporting

confidence: 83%

Section: Optical Ground-level Measurementssupporting

confidence: 82%

Section: Application To N Fertilizer Recommendationmentioning

confidence: 82%

Section: Ground-level Optical Determinationsmentioning

confidence: 99%

See 2 more Smart Citations

Airborne Hyperspectral Images and Ground-Level Optical Sensors As Assessment Tools for Maize Nitrogen Fertilization

2014

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“…Campbell et al (2007) found that combinations of fluorescence and reflectance at specific wavebands improved the ability to detect stresses. Tremblay et al (2007) for wheat and maize and Cartelat et al (2005) for wheat also found that the chlorophyll/ polyphenolics ratio appreciably improves the correlations with CNS. To date, the limitation of this approach probably is its small sampling scale as for PSNC or chlorophyll meter tests.…”

Section: Leaf/crop Chlorophyll Fluorescence-based Methods (Near Sensimentioning

confidence: 76%

Potato Crop Nitrogen Status Assessment to Improve N Fertilization Management and Efficiency: Past–Present–Future

2008

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Improving nitrogen use efficiency is important for the potato crop, because of its relatively low ability to take up available soil mineral nitrogen (N). Splitting of N fertilizer application is a suitable approach to better match N need and supply. In-season crop N monitoring methods are therefore required to support such strategies. This paper deals with the state of the art and potential development of characteristics, use and implementation of well known and more recent methods aimed to assess in-season potato Crop Nitrogen Status (CNS). A short overview of this concept is given for the potato crop. The most important and available methods for CNS assessment are evaluated for their accuracy, precision, sensitivity, sensibility and feasibility. These are: the petiole sap nitrate concentration test; the leaf chlorophyll concentration measurement using a handheld chlorophyll meter; the measurement of crop light reflectance through a hand-held radiometer using passive sensors. More recent methods still under investigation based on near, ground-based, air-borne or space-borne remote sensing are discussed for their scientific and practical interest in the near future. The current and potential use and implementation of these methods into decision support systems for potato N fertilization management aimed at improving the potato crop nitrogen use efficiency are analysed by: comparing relative and raw data; establishing threshold values of CNS; and combining or integrating the CNS values into models dedicated to N recommendation or to crop growth simulation.

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Leaf and canopy optical characteristics as crop‐N‐status indicators for field nitrogen management in corn

Rambo

Xiong

et al. 2010

Z. Pflanzenernähr. Bodenk.

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Evaluation of the Dualex for the Assessment of Corn Nitrogen Status

Cited by 51 publications

References 29 publications

Airborne Hyperspectral Images and Ground-Level Optical Sensors As Assessment Tools for Maize Nitrogen Fertilization

Airborne Hyperspectral Images and Ground-Level Optical Sensors As Assessment Tools for Maize Nitrogen Fertilization

Potato Crop Nitrogen Status Assessment to Improve N Fertilization Management and Efficiency: Past–Present–Future

Leaf and canopy optical characteristics as crop‐N‐status indicators for field nitrogen management in corn

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