2015
DOI: 10.1016/j.scienta.2015.05.011
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Use of nondestructive sensors to assess nitrogen status in potted poinsettia (Euphorbia pulcherrima L. (Willd. ex Klotzsch)) production

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Cited by 24 publications
(26 citation statements)
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References 15 publications
(14 reference statements)
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“…All sensor readings followed positive quadratic and linear trends as fertilizer rates increased, which corresponds with similar findings in other ornamental crops like dianthus, vinca (Catharanthus roseus (L.) G. Don), zinnia, geranium, and poinsettia (Schuch et al 1996;Altland et al 2002;Khan et al 2004;Smith et al 2004;Wang et al 2012aWang et al , 2012bBasyouni et al 2015). The linear response in all sensor readings across treatments over time can be attributed to the increased nutrient release from the CRF granules with increased temperatures (temperature data not shown), and irrigation frequency (Tables 1-3).…”
Section: Discussionsupporting
confidence: 84%
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“…All sensor readings followed positive quadratic and linear trends as fertilizer rates increased, which corresponds with similar findings in other ornamental crops like dianthus, vinca (Catharanthus roseus (L.) G. Don), zinnia, geranium, and poinsettia (Schuch et al 1996;Altland et al 2002;Khan et al 2004;Smith et al 2004;Wang et al 2012aWang et al , 2012bBasyouni et al 2015). The linear response in all sensor readings across treatments over time can be attributed to the increased nutrient release from the CRF granules with increased temperatures (temperature data not shown), and irrigation frequency (Tables 1-3).…”
Section: Discussionsupporting
confidence: 84%
“…Zhu et al (2012) showed that atLEAF readings were strongly correlated with the SPAD meter readings in five crop species: canola (Brassica napus L.), wheat, barley (Hordeum vulgare L.), potato, and corn. The atLEAF chlorophyll meter proved to correlate with poinsettia in greenhouse settings (Basyouni et al 2015). No previous use has been reported for the atLEAF chlorophyll meter to assess nutrient status in dianthus.…”
Section: Introductionmentioning
confidence: 96%
“…4). SPAD is directly related to leaf thickness, nitrogen concentration, chlorophyll level, and water status (Basyouni et al, 2015;Martínez and Guiamet, 2004). In our study, the higher SPAD with NR-SMC for lantana could have been related to the higher leaf nitrogen concentration associated with higher-frequency watering and, therefore, fertilization with each irrigation event because no difference in leaf thickness was detected in any of the cultivars (data not shown).…”
Section: Resultsmentioning
confidence: 56%
“…Tissue testing, such as petiole nitrate concentration, assessed by selective electrodes (Vitosh and Silva 1994;Sims et al 1995) or test strips (Sims et al 1995;Rodrigues 2004;Rodrigues et al 2005) and also chlorophyll measurements through portable tools (Schepers et al 1992; Rodrigues et al 2006;Arrobas, Aguiar, and Rodrigues 2016) may be valuable alternatives. The reflectance properties of the canopy, assessed by handheld spectroradiometers (Basyouni, Dunn, and Goad 2015;Dunn, Shrestha, and Goad 2016), imagery from satellite sensors (Gitelson, Peng, and Huemmrich 2014;Zhang et al 2014) or digital cameras (Hardin et al 2012;L opez-Bellido et al 2012) have also been used to estimate nutritional status of plants. Tissue tests are, however, more popular since they are available to a large research community as well as farmers.…”
Section: Introductionmentioning
confidence: 99%
“…The SPAD-502 chlorophyll meter (Minolta Camera Co. Ltd., Japan), which measures the transmittance of light through the leaf, has been widely used. Several studies have shown a significant linear relationship between SPAD-readings and laboratory determination of leaf chlorophyll concentration (Hawkins, Gardiner, and Comer 2009;Ruiz-Espinosa et al 2010;Ibrahim and Jaafar 2013) and between SPAD-readings and leaf N concentration (Ibrahim and Jaafar 2013;Uchino et al 2013;Mahajan et al 2014;Basyouni, Dunn, and Goad 2015). The FieldScout CM 1000 meter, more recently manufactured, evaluates by remote sensing the chlorophyll content in the leaves based on the chlorophyll reflectance.…”
Section: Introductionmentioning
confidence: 99%