Nitrogen assay in winter wheat by short-time instrumental photon activation analysis and its comparison with the Kjeldahl method

Mádlíková, Marcela; Krausová, Ivana; Mizera, Jiří; Táborský, J; Faměra, O.; Chvátil, David

doi:10.1007/s10967-018-5881-6

Cited by 17 publications

(4 citation statements)

References 30 publications

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“…The crop samples of different growth stages are divided into stems and leaves, dried, and ground. Then, 0.25g of the ground samples are weighed, and the NC of the samples is measured by the Kjeldahl method [ 28 ].…”

Section: Methodsmentioning

confidence: 99%

Digital image processing technology under backpropagation neural network and K-Means Clustering algorithm on nitrogen utilization rate of Chinese cabbages

et al. 2021

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The purposes are to monitor the nitrogen utilization efficiency of crops and intelligently evaluate the absorption of nutrients by crops during the production process. The research object is Chinese cabbage. The Chinese cabbage population with different agricultural parameters is constructed through different densities and nitrogen fertilizer application rates based on digital image processing technology, and an estimation NC (Nitrogen Content) model is established. The population is classified through the K-Means Clustering algorithm using the feature extraction method, and the Chinese cabbage population quality BPNN (Backpropagation Neural Network) model is constructed. The nonlinear mapping relationship between different agricultural parameters and population quality, and the contribution rate of each indicator, are studied. The nitrogen utilization of Chinese cabbage is monitored effectively. Results demonstrate that the proposed NC estimation model has correlation coefficients above 0.70 in different growth stages. This model can accurately estimate the NC of the Chinese cabbage population. The results of the Chinese cabbage population quality BPNN model show that the population planting density based on the seedling number is reasonable. The constructed population quality evaluation model has a high R2 value and a comparatively low RMSE (Root Mean Square Error) value for the quality evaluation of Chinese cabbage in different periods, showing that it applies to evaluate the population quality of Chinese cabbage in different growth stages. The constructed nitrogen utilization model and quality evaluation model can monitor the nutrient utilization of crops in different growth stages, ascertain the agricultural characteristics of other yield groups in different growth stages, and clarify the performance of agricultural parameters in different growth stages. The above results can provide some ideas for crop growth intelligent detection.

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Section: Methodsmentioning

confidence: 99%

Digital image processing technology under backpropagation neural network and K-Means Clustering algorithm on nitrogen utilization rate of Chinese cabbages

et al. 2021

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“…Previous studies have recommended the paired t-test for the evaluation of the similarity of spectroscopy results such as X-ray fluorescence (XRF) and NAA methods (Abuarra, Bauk, Hashim, Kandaiya, Tousi, Ababneh 2014;Al-Jarrah et al 2016;Zaichick and Zaichick 2016;Mádlíková et al 2018;Tousi, 2022b). In this study, the paired t-test was selected for its suitability for a statistical population with less than 30 samples (Sayfi and Nikbakht 2016;Tousi et al 2018).…”

Section: Methodsmentioning

confidence: 99%

Evaluation of Some Toxic Trace Elements in Crocus Sativus L. and Soil Using Neutron Activation Analysis Technique

Tousi

2023

Philipp Agric Scientist

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Neutron activation analysis was used in this research to measure the concentrations of aluminum (Al), bromine (Br), chlorine (Cl), mercury (Hg), arsenic (As), and thorium (Th) in soil and saffron plants as well as their contamination, enrichment, and translocation rates. The edible part of the saffron showed a higher Hg concentration than the WHO/FAO-permitted level in the urban area. The soil was not intoxicated and contaminated by Al, As, and Th except in the urban areas, which were slightly polluted by As. The calculated contamination degree and pollution load index indicated that the soil was almost uncontaminated. The enrichment factors (EF) showed minimal enrichment levels of Al and Th and low As contamination, which may still increase due to human activities in the environment. The tested elements’ translocation abilities were also evaluated by the paired t-test statistical method and indexes of translocation, and it was found that Al, As, and Th can quickly relocate into different soil depths. Saffron was also evaluated as a very poor absorber of the elements studied. While Cl and Th can easily move from the saffron’s corm to its aerial parts, Al and Hg merely translocate from the corm to the petal. It was also found that Al, Cl, and Th can move between the petals and the thread.

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“…Determination of the proximate composition: crude protein was measured using the micro-Kjeldahl method [ 12 ]; the fat content was measured by Soxhlet extraction [ 13 ]; and the measurement of soluble substances, ash, and crude fiber was performed following the methods described by Wang et al [ 14 ].…”

Section: Methodsmentioning

confidence: 99%

Effects of Rosa roxburghii Tratt Must on the Growth, Nutrient Composition, and Antioxidant Activity of Pleurotus ostreatus Mycelia

Chen

Liu

2022

Molecules

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Rosa roxburghii Tratt, a Rosaceae plant endemic to China, produces fruit with high nutritional and medicinal value. The effects of R. roxburghii must on the growth, nutrient composition, and antioxidant activity of Pleurotus ostreatus mycelia was investigated. We measured the mycelial growth rate, proximate composition, amino acid and crude polysaccharide content, and the antioxidant activity of the crude polysaccharides of P. ostreatus mycelia cultivated under different concentrations of R. roxburghii must (2%, 4%, and 8%, v/v). Low concentrations of R. roxburghii must (2% and 4%) promoted mycelial growth, while a high concentration (8%) inhibited mycelial growth. Low concentrations of R. roxburghii must had no significant effects on the soluble substances, fat, ash, and crude fiber in P. ostreatus mycelia, but significantly increased the crude protein and total amino acid contents (p < 0.05). The addition of R. roxburghii must at low concentrations significantly increased the crude polysaccharide content in mycelia (p < 0.05) but had no impact on the scavenging of hydroxyl radicals and 2,2-diphenyl-1-picrylhydrazyl (DPPH). Therefore, R. roxburghii must at low concentration can be used as a substrate for P. ostreatus cultivation to increase the protein and polysaccharide contents in mycelia.

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Nitrogen assay in winter wheat by short-time instrumental photon activation analysis and its comparison with the Kjeldahl method

Cited by 17 publications

References 30 publications

Digital image processing technology under backpropagation neural network and K-Means Clustering algorithm on nitrogen utilization rate of Chinese cabbages

Digital image processing technology under backpropagation neural network and K-Means Clustering algorithm on nitrogen utilization rate of Chinese cabbages

Evaluation of Some Toxic Trace Elements in Crocus Sativus L. and Soil Using Neutron Activation Analysis Technique

Effects of Rosa roxburghii Tratt Must on the Growth, Nutrient Composition, and Antioxidant Activity of Pleurotus ostreatus Mycelia

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