scholarly journals DETERMINATION OF NUTRITION STATUS OF QUINCE (Cydonia oblonga MILL.) GARDENS BY LEAF ANALYSIS IN GEYVE DISTRICT, SAKARYA

2021 ◽  
Vol 7 (7) ◽  
Author(s):  
Korkmaz BELLİTÜRK
Keyword(s):  
Nutrition Status ◽  
Cydonia Oblonga ◽  
Leaf Analysis

scholarly journals Mineral Nutrition Status of Some Aromatic Plants Grown in Muğla, Determination of Their Soil Characteristics and Uses in the Kitchen

2020 ◽  
pp. 213-228
Author(s):  
Selma ATABEY ◽  
Mahmut YILDIZTEKİN ◽  
Atilla Levent TUNA ◽  
Okay NAZLI ◽  
Olcay CEYLAN ◽  
...  
Keyword(s):  
Mineral Nutrition ◽  
Soil Characteristics ◽  
Nutrition Status ◽  
Aromatic Plants

Determination of the gas exchange phenology in an evergreen coniferous forest from 7 years of eddy covariance flux data using an extended big-leaf analysis

2013 ◽  
Vol 28 (3) ◽  
pp. 373-385 ◽  
Author(s):  
Yoshiko Kosugi ◽  
Satoru Takanashi ◽  
Masahito Ueyama ◽  
Shinjiro Ohkubo ◽  
Hiroki Tanaka ◽  
...  
Keyword(s):  
Gas Exchange ◽  
Eddy Covariance ◽  
Coniferous Forest ◽  
Leaf Analysis ◽  
Flux Data

scholarly journals ANALYSIS EARLY DETECTION OF GROWTH AND DEVELOPMENT CHILDREN BY PRE – SCREENING QUESTIONNAIRE OF DEVELOPMENT (KPSP) AT CENTRAL JAKARTA IN OCTOBER 2017

2018 ◽  
Vol 2 (1) ◽  
pp. 45
Author(s):  
Nova Yulianti ◽  
Putri Argianti ◽  
Lily Herlina ◽  
Siti Nur Indah Oktaviani
Keyword(s):  
Early Childhood ◽  
Early Detection ◽  
Motor Development ◽  
Growth And Development ◽  
Early Childhood Teachers ◽  
Nutrition Status ◽  
Speech Delay ◽  
Cross Sectional ◽  
Sample Amount

ABSTRACTBackground. Indonesia is a developing country which is one of 117 countries that has three nutritional problems in toddlers namely stunting, wasting and overweight. Based on data of Basic Health Research (Riskesdas) on 2013 prevalence malnutrition in Indonesia has increased 1.7%. Approximately 16% of toddler experience motor development disorder and 1: 100 children have less intelligence and speech delay. The process of early detection and stimulation of growth and development into things that should not be underestimated in order to create a generation of quality successors who are able to grow and develop well. Early detection of growth and development is one effort that can be done early childhood teachers, mothers and teachers to detect any behavioral drift of growth.Methodology. This research used cross sectional with observational approach. Determination of location and sample using purposive sampling in BKB PAUD Serdang Urban Village Kemayoran Central Jakarta with sample amount 95 childrenResult. Showing that of 95 children 58 (61%) female and 37 (39%) men. Age of child in early childhood is highest in> 4 - 5 years amounted to 35 (36.8%) and 2 - 3 years amounted to 6 (6.3%). 1 Nutrition status was found less than 34 (37,9%), more nutrition 6 (6,3%) and Obesity 6 (6,3%). The results of early detection of child deviation by using Pre-Screening Development Questionnaire (KPSP) as many as 85 (89.5%) in accordance with the development, but there are 7 (7.4%) doubtful children and 3 (3.2) possibility of deviation.Key words. PAUD, KPSP

Protein markers of nutrition status as related to sex and age.

1986 ◽  
Vol 32 (2) ◽  
pp. 339-341 ◽  
Author(s):  
E Sachs ◽  
L H Bernstein
Keyword(s):  
Significant Variation ◽  
Blood Donors ◽  
Binding Capacity ◽  
Binding Protein ◽  
Retinol Binding Protein ◽  
Nutrition Status ◽  
Protein Markers ◽  
Highly Correlated ◽  
Iron Binding Capacity

Abstract We assessed age- and sex-related variation in those proteins commonly measured to evaluate protein catabolic losses in patients in acute care. We determined concentrations of iron and iron-binding capacity, transferrin, albumin, prealbumin, and retinol-binding protein in sera from 158 healthy blood donors and 48 hospitalized patients, then grouped the data according to age (by decade) and sex. There was no significant variation in either category. For the total nondiseased population the concentrations of three proteins (means SD, and range) were: transferrin, 2760, 510, 1740-3780 mg/L (population CV 18.5%); prealbumin, 296, 49, 200-390 mg/L (CV 16.6%); retinol-binding protein, 60, 127, 35-85 mg/L (CV 21.2%). Prealbumin and retinol-binding protein concentrations were highly correlated (r = 0.803). Because prealbumin can be easily monitored and its assay is subject to few interferences, we conclude that determination of prealbumin is suitable for assessing the existence and severity of nutritional metabolic deficits.

scholarly journals Determination of Nutrition Status of Apple Orchards in Doğanşehir, Malatya

2019 ◽  
Author(s):  
Hüseyin Karlıdağ ◽  
Fırat Ege Karaat ◽  
Tuncay Kan ◽  
İbrahim Kutalmış Kutsal ◽  
Hakan Yıldırım
Keyword(s):  
Nutrition Status ◽  
Apple Orchards

scholarly journals Nutrient Removal from Olive Trees by Fruit Yield and Pruning

HortScience ◽  
2015 ◽  
Vol 50 (3) ◽  
pp. 474-478 ◽  
Author(s):  
Ricardo Fernández-Escobar ◽  
Miguel A. Sánchez-Zamora ◽  
Jorge M. García-Novelo ◽  
Concepción Molina-Soria
Keyword(s):  
Mineral Composition ◽  
Nutrient Removal ◽  
Nitrogen Fertilization ◽  
The Other ◽  
Leaf Analysis ◽  
Long Term Experiments ◽  
Olive Trees ◽  
Abundant Element

The determination of nutrient removal from olive orchards could be of interest to estimate tree consumption and to provide information about the amount of nutrients to be applied when leaf analysis indicates the need for fertilization. In this work, nutrient removal from yield and pruning was determined from the control plots of two olive orchards located in different locations, in which two long-term experiments dealing with nitrogen fertilization were conducted. The trees from these plots received only potassium fertilizers during the 7 years of the experiments, because the previous season’s leaf analysis showed that the other nutrients were always above the threshold of sufficiency. Potassium was the most abundant element in the harvested fruits with an average of 4.42 g·kg−1 fresh fruit, which represents more than 50% of the mineral composition of the olive fruit, whereas calcium was the more abundant element in the pruning material with an average of 12.0 g·kg−1 and 6.87 g·kg−1, depending on the location, which represents more than 50% of the mineral composition of the pruning material. Nitrogen was the second more abundant element in both fruits (2.87 g·kg−1) and pruning material (6.87 and 5.40 g·kg−1, depending on the location), representing ≈35% of the mineral composition of both fruit and pruning material. The other nutrients were removed only in very small amounts. Expressed per hectare, the amounts of nutrients removed annually were: 57.9 kg·ha−1 per year calcium (Ca), 54.4 kg·ha−1 per year nitrogen (N), 45.5 kg·ha−1 per year potassium (K), 6.87 kg·ha−1 per year phosphorus (P), 3.79 kg·ha−1 per year magnesium (Mg), 0.12 kg·ha−1 per year copper (Cu), 0.11 kg·ha−1 per year boron (B), 0.08 kg·ha−1 per year manganese, and 0.05 kg·ha−1 per year zinc (Zn). These data show that olive trees remove small amounts of nutrients and, therefore, the need for fertilization is relatively low.

Application of Multi-Spectral Imaging Technique in the Determination of Leaves Nitrogen Level of Fruit Tree

2011 ◽  
Vol 181-182 ◽  
pp. 272-275 ◽  
Author(s):  
Hai Qing Yang ◽  
Gang Lv
Keyword(s):  
Imaging System ◽  
Back Propagation ◽  
Spectral Imaging ◽  
Fruit Tree ◽  
Nutrition Status ◽  
Calibration Error ◽  
Nitrogen Status ◽  
Infrared Wavelength ◽  
Error Back Propagation

A new optical instrument for fast determination of pear leaves nitrogen status was designed and fabricated. A multi-spectral imaging system was used as optical detector. In the paper, the principle of multi-spectral imaging for the measurement of leaves nitrogen status was first introduced. Then, the method of using error back propagation artificial neural network (BP-ANN) for calibration modeling was elaborated. Mean reflective light intensities in all images covering blue, green, red and infrared wavelength were taken as the input data to BP-ANN. The structure of BP-ANN with three layers has been optimized to minimize its calibration error. In the test, total 200 leave samples picked from Huang-hua pear trees planted in three orchards with different nitrogen fertilizing schemes. Among them, 150 samples were selected randomly out as for calibration set with the remaining 50 for prediction set. The result shows that correlation coefficient of R2 between predicted and measured values of nitrogen content reaches 0.82 with maximum prediction error less than 4.72(SPAD). The study suggests that the new optical method integrating multi-spectral images with BP-ANN is promising for fast diagnosis of fruit tree nutrition status.

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