Rapid estimation of nutritional elements on citrus leaves by near infrared reflectance spectroscopy
Identifieur interne : 001C61 ( Ncbi/Checkpoint ); précédent : 001C60; suivant : 001C62Rapid estimation of nutritional elements on citrus leaves by near infrared reflectance spectroscopy
Auteurs : Luis Galvez-Sola [Espagne] ; Francisco García-Sánchez [Espagne] ; Juan G. Pérez-Pérez [Espagne] ; Vicente Gimeno ; Josefa M. Navarro [Espagne] ; Raul Moral [Espagne] ; Juan J. Martínez-Nicolás [Espagne] ; Manuel Nieves [Espagne]Source :
- Frontiers in Plant Science [ 1664-462X ] ; 2015.
Abstract
Sufficient nutrient application is one of the most important factors in producing quality citrus fruits. One of the main guides in planning citrus fertilizer programs is by directly monitoring the plant nutrient content. However, this requires analysis of a large number of leaf samples using expensive and time-consuming chemical techniques. Over the last 5 years, it has been demonstrated that it is possible to quantitatively estimate certain nutritional elements in citrus leaves by using the spectral reflectance values, obtained by using near infrared reflectance spectroscopy (NIRS). This technique is rapid, non-destructive, cost-effective and environmentally friendly. Therefore, the estimation of macro and micronutrients in citrus leaves by this method would be beneficial in identifying the mineral status of the trees. However, to be used effectively NIRS must be evaluated against the standard techniques across different cultivars. In this study, NIRS spectral analysis, and subsequent nutrient estimations for N, K, Ca, Mg, B, Fe, Cu, Mn, and Zn concentration, were performed using 217 leaf samples from different citrus trees species. Partial least square regression and different pre-processing signal treatments were used to generate the best estimation against the current best practice techniques. It was verified a high proficiency in the estimation of N (Rv = 0.99) and Ca (Rv = 0.98) as well as achieving acceptable estimation for K, Mg, Fe, and Zn. However, no successful calibrations were obtained for the estimation of B, Cu, and Mn.
Url:
DOI: 10.3389/fpls.2015.00571
PubMed: 26257767
PubMed Central: 4511827
Affiliations:
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<front><div type="abstract" xml:lang="en"><p>Sufficient nutrient application is one of the most important factors in producing quality citrus fruits. One of the main guides in planning citrus fertilizer programs is by directly monitoring the plant nutrient content. However, this requires analysis of a large number of leaf samples using expensive and time-consuming chemical techniques. Over the last 5 years, it has been demonstrated that it is possible to quantitatively estimate certain nutritional elements in citrus leaves by using the spectral reflectance values, obtained by using near infrared reflectance spectroscopy (NIRS). This technique is rapid, non-destructive, cost-effective and environmentally friendly. Therefore, the estimation of macro and micronutrients in citrus leaves by this method would be beneficial in identifying the mineral status of the trees. However, to be used effectively NIRS must be evaluated against the standard techniques across different cultivars. In this study, NIRS spectral analysis, and subsequent nutrient estimations for N, K, Ca, Mg, B, Fe, Cu, Mn, and Zn concentration, were performed using 217 leaf samples from different citrus trees species. Partial least square regression and different pre-processing signal treatments were used to generate the best estimation against the current best practice techniques. It was verified a high proficiency in the estimation of N (Rv = 0.99) and Ca (Rv = 0.98) as well as achieving acceptable estimation for K, Mg, Fe, and Zn. However, no successful calibrations were obtained for the estimation of B, Cu, and Mn.</p>
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<biblStruct><analytic><author><name sortKey="Walsh, L M" uniqKey="Walsh L">L. M. Walsh</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Zude, M" uniqKey="Zude M">M. Zude</name>
</author>
<author><name sortKey="Pflanz, M" uniqKey="Pflanz M">M. Pflanz</name>
</author>
<author><name sortKey="Kaprielian, C" uniqKey="Kaprielian C">C. Kaprielian</name>
</author>
<author><name sortKey="Aivazian, B L" uniqKey="Aivazian B">B. L. Aivazian</name>
</author>
</analytic>
</biblStruct>
</listBibl>
</div1>
</back>
</TEI>
<affiliations><list><country><li>Espagne</li>
</country>
</list>
<tree><noCountry><name sortKey="Gimeno, Vicente" sort="Gimeno, Vicente" uniqKey="Gimeno V" first="Vicente" last="Gimeno">Vicente Gimeno</name>
</noCountry>
<country name="Espagne"><noRegion><name sortKey="Galvez Sola, Luis" sort="Galvez Sola, Luis" uniqKey="Galvez Sola L" first="Luis" last="Galvez-Sola">Luis Galvez-Sola</name>
</noRegion>
<name sortKey="Garcia Sanchez, Francisco" sort="Garcia Sanchez, Francisco" uniqKey="Garcia Sanchez F" first="Francisco" last="García-Sánchez">Francisco García-Sánchez</name>
<name sortKey="Garcia Sanchez, Francisco" sort="Garcia Sanchez, Francisco" uniqKey="Garcia Sanchez F" first="Francisco" last="García-Sánchez">Francisco García-Sánchez</name>
<name sortKey="Martinez Nicolas, Juan J" sort="Martinez Nicolas, Juan J" uniqKey="Martinez Nicolas J" first="Juan J." last="Martínez-Nicolás">Juan J. Martínez-Nicolás</name>
<name sortKey="Moral, Raul" sort="Moral, Raul" uniqKey="Moral R" first="Raul" last="Moral">Raul Moral</name>
<name sortKey="Navarro, Josefa M" sort="Navarro, Josefa M" uniqKey="Navarro J" first="Josefa M." last="Navarro">Josefa M. Navarro</name>
<name sortKey="Navarro, Josefa M" sort="Navarro, Josefa M" uniqKey="Navarro J" first="Josefa M." last="Navarro">Josefa M. Navarro</name>
<name sortKey="Nieves, Manuel" sort="Nieves, Manuel" uniqKey="Nieves M" first="Manuel" last="Nieves">Manuel Nieves</name>
<name sortKey="Perez Perez, Juan G" sort="Perez Perez, Juan G" uniqKey="Perez Perez J" first="Juan G." last="Pérez-Pérez">Juan G. Pérez-Pérez</name>
<name sortKey="Perez Perez, Juan G" sort="Perez Perez, Juan G" uniqKey="Perez Perez J" first="Juan G." last="Pérez-Pérez">Juan G. Pérez-Pérez</name>
</country>
</tree>
</affiliations>
</record>
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