Spectral characterization and prediction of nutrient content in winter leaves of litchi during flower bud differentiation in southern China

Spectral characterization and prediction of nutrient content in winter leaves of litchi during... Nutrient availability can affect the cracking rate of the litchi fruit tree, and the nutrient content of the canopy can be used to monitor availability and fertilizer needs of the litchi orchard. In this study, we analyzed the correlation between calcium (Ca), magnesium (Mg) and potassium (K) in canopy leaves and four indices of in situ spectral data of litchi canopy. These were reflectance (R), reciprocal-logarithm-transformed reflectance (log(1/R)), the first-order derivative of reflectance (dR) and the first-order derivative of reciprocal-logarithm-transformed reflectance (dlog(1/R)). The results showed that the spectra of the litchi canopy have common spectral characteristics. The correlation between the selected nutrients of the litchi canopy and R or log(1/R) was weak, that between the nutrients and dR was significant and with dlog(1/R) it was the most significant. The 1262 nm wavelength for dR and 1018 nm one for dlog(1/R) had the most significant correlation with Ca. The 1293 nm wavelength for dR and 1601 nm one for dlog(1/R) had the most significant correlation with Mg. The 1686 nm wavelength for dR and 1337 nm one for dlog(1/R) had the most significant correlation with K. Therefore, those wavelengths were chosen to create the regression equations for prediction. The linear regression equations performed the best when predicting canopy nutrient content of litchi for Ca at 1018 nm, Mg at 1601 nm and K at 1337 nm. Further, the formulated application of K2O played an important role in reducing the amount of K2O applied (50.6 g/plant on average) and in increasing the yield of the litchi tree by 4.4 kg/plant on average. These results are relevant for implementing a precision agriculture approach for litchi production and for environmental protection in South China or in other litchi production areas of the world. Other nutrients that affect litchi growth need to be studied in the future. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Precision Agriculture Springer Journals

Spectral characterization and prediction of nutrient content in winter leaves of litchi during flower bud differentiation in southern China

Loading next page...
 
/lp/springer_journal/spectral-characterization-and-prediction-of-nutrient-content-in-winter-Lqas6cAiMP
Publisher
Springer US
Copyright
Copyright © 2010 by Springer Science+Business Media, LLC
Subject
Life Sciences; Agriculture; Soil Science & Conservation; Remote Sensing/Photogrammetry; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Atmospheric Sciences
ISSN
1385-2256
eISSN
1573-1618
D.O.I.
10.1007/s11119-010-9213-2
Publisher site
See Article on Publisher Site

Abstract

Nutrient availability can affect the cracking rate of the litchi fruit tree, and the nutrient content of the canopy can be used to monitor availability and fertilizer needs of the litchi orchard. In this study, we analyzed the correlation between calcium (Ca), magnesium (Mg) and potassium (K) in canopy leaves and four indices of in situ spectral data of litchi canopy. These were reflectance (R), reciprocal-logarithm-transformed reflectance (log(1/R)), the first-order derivative of reflectance (dR) and the first-order derivative of reciprocal-logarithm-transformed reflectance (dlog(1/R)). The results showed that the spectra of the litchi canopy have common spectral characteristics. The correlation between the selected nutrients of the litchi canopy and R or log(1/R) was weak, that between the nutrients and dR was significant and with dlog(1/R) it was the most significant. The 1262 nm wavelength for dR and 1018 nm one for dlog(1/R) had the most significant correlation with Ca. The 1293 nm wavelength for dR and 1601 nm one for dlog(1/R) had the most significant correlation with Mg. The 1686 nm wavelength for dR and 1337 nm one for dlog(1/R) had the most significant correlation with K. Therefore, those wavelengths were chosen to create the regression equations for prediction. The linear regression equations performed the best when predicting canopy nutrient content of litchi for Ca at 1018 nm, Mg at 1601 nm and K at 1337 nm. Further, the formulated application of K2O played an important role in reducing the amount of K2O applied (50.6 g/plant on average) and in increasing the yield of the litchi tree by 4.4 kg/plant on average. These results are relevant for implementing a precision agriculture approach for litchi production and for environmental protection in South China or in other litchi production areas of the world. Other nutrients that affect litchi growth need to be studied in the future.

Journal

Precision AgricultureSpringer Journals

Published: Dec 14, 2010

References

  • Near infrared spectroscopy of forest soils to determine chemical and biological properties related to soil sustainability
    Ludwig, B; Khanna, PK; Bauhus, J; Hopmans, P
  • Visible, near infrared, mid infrared or combined diffuse reflectance spectroscopy for simultaneous assessment of various soil properties
    Rossel, RAV; Walvoort, DJJ; McBratney, AB; Janikc, LJ; Skjemstad, JO

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 12 million articles from more than
10,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Unlimited reading

Read as many articles as you need. Full articles with original layout, charts and figures. Read online, from anywhere.

Stay up to date

Keep up with your field with Personalized Recommendations and Follow Journals to get automatic updates.

Organize your research

It’s easy to organize your research with our built-in tools.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve Freelancer

DeepDyve Pro

Price
FREE
$49/month

$360/year
Save searches from
Google Scholar,
PubMed
Create lists to
organize your research
Export lists, citations
Read DeepDyve articles
Abstract access only
Unlimited access to over
18 million full-text articles
Print
20 pages/month
PDF Discount
20% off