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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Rapid estimation of nutritional elements on citrus leaves by near infrared reflectance spectroscopy
|
|---|---|
| Published in |
Frontiers in Plant Science, July 2015
|
| DOI | 10.3389/fpls.2015.00571 |
| Pubmed ID | |
| Authors |
Luis Galvez-Sola, Francisco García-Sánchez, Juan G. Pérez-Pérez, Vicente Gimeno, Josefa M. Navarro, Raul Moral, Juan J. Martínez-Nicolás, Manuel Nieves |
| 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. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 1% |
| Unknown | 97 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 16% |
| Student > Master | 15 | 15% |
| Researcher | 13 | 13% |
| Student > Doctoral Student | 6 | 6% |
| Student > Postgraduate | 6 | 6% |
| Other | 18 | 18% |
| Unknown | 24 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 47 | 48% |
| Engineering | 9 | 9% |
| Chemistry | 6 | 6% |
| Environmental Science | 2 | 2% |
| Earth and Planetary Sciences | 2 | 2% |
| Other | 4 | 4% |
| Unknown | 28 | 29% |
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 23 July 2015.
All research outputs
#20,283,046
of 22,817,213 outputs
Outputs from Frontiers in Plant Science
#16,010
of 20,116 outputs
Outputs of similar age
#220,283
of 263,718 outputs
Outputs of similar age from Frontiers in Plant Science
#199
of 251 outputs
Altmetric has tracked 22,817,213 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,116 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 251 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.