Zinc Enrichment in Two Contrasting Genotypes of Triticum aestivum L. Grains: Interactions between Edaphic Conditions and Foliar Fertilizers

Luís, Inês Carmo; Lidon, Fernando C.; Pessoa, Cláudia Campos; Marques, Ana Coelho; Coelho, Ana Rita F.; Patanita, Manuel; Dôres, José; Ramalho, José C.; Silva, Maria Manuela; Almeida, Ana Sofia; Pais, Isabel P.; Pessoa, Maria Fernanda; Reboredo, Fernando H.; Legoinha, Paulo; Guerra, Mauro; Leitão, Roberta G.

doi:10.3390/plants10020204

Cited by 22 publications

(11 citation statements)

References 60 publications

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“…Leaf-gas exchange parameters, determined in the field trials, using six randomized leaves per treatment, on 17 September, 2 and 15 October, followed the methods described by [8]. Selenium content in the whole flour was determined using an XRF analyzer (model XL3t 950 He GOLDD +) under a helium atmosphere, previously calibrated with reference standards provided by the Thermo Fisher Scientific [9]. After this, for each sample, measurements were carried out in triplicate with emission radiation for 180 s. For data analysis, the software NITON Data Transfer (XL 3t-36653) was used.…”

Section: Leaf Gas Exchange Measurements and Analysis Of Selenium Cont...mentioning

confidence: 99%

Precision Agriculture as Input for the Rice Grain (Oryza sativa L.) Biofortification with Selenium

et al. 2021

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Using two rice genotypes as a test system (OP1505 and OP1509), the aim of this study was to develop an agronomic workflow for Se biofortification through foliar fertilization (with sodium selenate and sodium selenite). During the biofortification process, the state of the culture (slope, surface drainage, water lines and normalized differences vegetation index—NDVI), using an Unmanned Aerial Vehicles synchronized by global positioning system (GPS) was further assessed. It was found that after sowing, the water-drainage pattern became profoundly altered, following the artificial pattern, created by grooves between plots. NDVI values, compared to the control, did not show significant differences. These data were correlated with physiological monitoring during biofortification. Furthermore, it was found by eco-physiological data obtained through leaf gas exchanges, that the application of 300 g Se ha−1 did not show any toxicity effects in the biofortified plants. In the context of innovation, it was concluded that the application of precision agriculture techniques in conjunction with leaf-gas exchange measurements allow for an efficient monitoring of the experimental field conditions and the development of the rice cycle during the implementation of the biofortification workflow.

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Section: Leaf Gas Exchange Measurements and Analysis Of Selenium Cont...mentioning

confidence: 99%

Precision Agriculture as Input for the Rice Grain (Oryza sativa L.) Biofortification with Selenium

et al. 2021

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“…Calcium contents were determined in leaves after the 4th foliar application (21 June), being cut, dried (at 60 • C, until constant weight) and grounded, using a XRF analyzer (model XL3t 950 He GOLDD+) under He atmosphere, according to [24].…”

Section: Calcium Content In Leavesmentioning

confidence: 99%

Monitoring of a Calcium Biofortification Workflow for Tubers of Solanum tuberosum L. cv. Picasso Using Smart Farming Technology

Coelho

Luís

Marques

et al. 2021

The 1st International Electronic Conference on Agronomy

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Due to the rapid growth of the population worldwide and the need to provide food safety in large crop productions, UAVs (unmanned aerial vehicles) are being used in agriculture to provide valuable data for decision making. Accordingly, through precision agriculture, efficient management of resources, using data obtained by the technologies, is possible. Through remote sensed data collected in a crop region, it is possible to create NDVI (normalized difference vegetation index) maps, which are a powerful tool to detect stresses, namely, in plants. Accordingly, using smart farm technology, this study aimed to assess the impact of Ca biofortification on leaves of Solanum tuberosum L. cv. Picasso. As such, using an experimental production field of potato tubers (GPS coordinates: 39°16′38,816′′ N; 9°15′9128′′ W) as a test system, plants were submitted to a Ca biofortification workflow through foliar spraying with CaCl2 or, alternatively, chelated calcium (Ca-EDTA) at concentrations of 12 and 24 kg·ha−1. A lower average NDVI in Ca-EDTA 12 kg·ha−1 treatment after the fourth foliar application was found, which, through the application of the CieLab scale, correlated with lower L (darker color) and hue parameters, regarding control plants. Additionally, a higher Ca content was quantified in the leaves. The obtained data are discussed, and it is concluded that Ca-EDTA 12 kg·ha−1 triggers lower vigor in Picasso potatoes leaves.

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“…Accumulation of Zn in randomized grape leaves was analyzed after three foliar sprays, using a XRF analyzer (model XL3t 950 He GOLDD+), under He atmosphere [14]. The grape leaves were cut, dried (at 60 • C, until constant weight), ground and processed into pellets.…”

Section: Quantification Of Zn In Grape Leaf'smentioning

confidence: 99%

Application of Multispectral Images to Monitor the Productive Cycle of Vines Fortified with Zinc

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In the context of an exponentially growing population and resource limitations, precision agriculture techniques can improve efficiency in the agricultural sector. This can be achieved by monitorization and quick detection of changes in crops, resulting in smart resource use, waste reduction and maximization of production. In a field located in Palmela (Portugal), three foliar sprays of ZnO and ZnSO4 were performed in Vitis vinifera variety Fernão Pires, for production of biofortified single-vine wine. Field characterization was performed with soil sampling and UAVs (with altimetric measurement sensors), synchronized by GPS. Vegetations indexes and characterization of drainage capacity and slopes were then interpolated with mineral content, monitored with X-ray Fluorescence analysis. Morphologically, the experimental parcel had a slight slope (maximum of 1.10 m) with irrigation and nutrient availability in soil requiring special attention (i.e., just one-third of the parcel had higher capacity to water drainage). NDVI values reflected better physiological values in the N–NE region. Zinc increases in leaves were directly proportional with the applied concentrations in vines sprayed with ZnSO4 and ZnO; the concentration of 60% (900 g ha−1) revealed a greater vigor. In conclusion, the use of smart farm techniques and their crossing with analytical procedures allows the characterization and monitoring of vines, and a higher potential for optimization of wine production.

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Zinc Enrichment in Two Contrasting Genotypes of Triticum aestivum L. Grains: Interactions between Edaphic Conditions and Foliar Fertilizers

Cited by 22 publications

References 60 publications

Precision Agriculture as Input for the Rice Grain (Oryza sativa L.) Biofortification with Selenium

Precision Agriculture as Input for the Rice Grain (Oryza sativa L.) Biofortification with Selenium

Monitoring of a Calcium Biofortification Workflow for Tubers of Solanum tuberosum L. cv. Picasso Using Smart Farming Technology

Application of Multispectral Images to Monitor the Productive Cycle of Vines Fortified with Zinc

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