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Optimal Leaf Positions for SPAD Meter Measurement in Rice

Overview of attention for article published in Frontiers in Plant Science, May 2016
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Title
Optimal Leaf Positions for SPAD Meter Measurement in Rice
Published in
Frontiers in Plant Science, May 2016
DOI 10.3389/fpls.2016.00719
Pubmed ID
Authors

Zhaofeng Yuan, Qiang Cao, Ke Zhang, Syed Tahir Ata-Ul-Karim, Yongchao Tian, Yan Zhu, Weixing Cao, Xiaojun Liu

Abstract

The Soil Plant Analysis Development (SPAD) chlorophyll meter is one of the most commonly used diagnostic tools to measure crop nitrogen status. However, the measurement method of the meter could significantly affect the accuracy of the final estimation. Thus, this research was undertaken to develop a new methodology to optimize SPAD meter measurements in rice (Oryza sativa L.). A flatbed color scanner was used to map the dynamic chlorophyll distribution and irregular leaf shapes. Calculus algorithm was adopted to estimate the potential positions for SPAD meter measurement along the leaf blade. Data generated by the flatbed color scanner and SPAD meter were analyzed simultaneously. The results suggested that a position 2/3 of the distance from the leaf base to the apex (2/3 position) could represent the chlorophyll content of the entire leaf blade, as indicated by the relatively low variance of measurements at that position. SPAD values based on di-positional leaves and the extracted chlorophyll a and b contents were compared. This comparison showed that the 2/3 position on the lower leaves tended to be more sensitive to changes in chlorophyll content. Finally, the 2/3 position and average SPAD values of the fourth fully expanded leaf from the top were compared with leaf nitrogen concentration. The results showed the 2/3 position on that leaf was most suitable for predicting the nitrogen status of rice. Based on these results, we recommend making SPAD measurements at the 2/3 position on the fourth fully expanded leaf from the top. The coupling of dynamic chlorophyll distribution and irregular leaf shapes information can provide a promising approach for the calibration of SPAD meter measurement, which can further benefit the in situ nitrogen management by providing reliable estimation of crops nitrogen nutrition status.

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Mendeley readers

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The data shown below were compiled from readership statistics for 303 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 303 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 15%
Student > Master 43 14%
Student > Bachelor 39 13%
Researcher 31 10%
Student > Doctoral Student 19 6%
Other 33 11%
Unknown 94 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 137 45%
Engineering 18 6%
Biochemistry, Genetics and Molecular Biology 16 5%
Environmental Science 10 3%
Earth and Planetary Sciences 4 1%
Other 18 6%
Unknown 100 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 May 2016.
All research outputs
#20,330,976
of 22,875,477 outputs
Outputs from Frontiers in Plant Science
#16,156
of 20,264 outputs
Outputs of similar age
#289,565
of 337,040 outputs
Outputs of similar age from Frontiers in Plant Science
#398
of 519 outputs
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