Benchmarking study of quality parameters of Rivoli Bay selection of Kunzea pomifera (muntries): A new Indigenous crop from Australia

2017 ◽  
Vol 219 ◽  
pp. 287-293 ◽  
Author(s):  
Chi M. Do ◽  
Kate L. Delaporte ◽  
Carolyn J. Schultz
Keyword(s):  
Quality Parameters ◽  
Selection Of

Cam_Gate System in Product Quality Control, Optimal Selection of Inspecting-Sorting Automatic Machines

2013 ◽  
Vol 198 ◽  
pp. 445-450
Author(s):  
Krzysztof Łasiński
Keyword(s):  
Quality Control ◽  
Product Quality ◽  
Ccd Camera ◽  
Quality Parameters ◽  
System Structure ◽  
Optimal Selection ◽  
Product Quality Control ◽  
Factors Affecting ◽  
Dimensional Parameters ◽  
Selection Of

The paper addresses the possibilities of applying the cam_gate system to product quality control. Particular attention is paid to the concept of the test stand simulating the operation of the product quality control automatic machine with the use of the CCD camera. Dimensional parameters of rollers were measured by means of a micrometer screw and the CCD camera at the simulation stand in the cam_gate system and the results of measurements were compared. The paper presents the cost system structure of an enterprises and factors affecting the selection of inspecting-sorting automatic machines in the aspect of the prescribed quality parameters which condition the optimal selection.

scholarly journals Assessment of diversity by using morphological, biochemical and molecular approaches of selected basmati rice (Oryza sativa L.) varieties

2016 ◽  
Vol 8 (1) ◽  
pp. 69-76 ◽  
Author(s):  
A. Mishra ◽  
Pradeep Kumar ◽  
R. S. Sengar ◽  
P. Kumar ◽  
R. Singh ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Ssr Markers ◽  
Molecular Analysis ◽  
Oryza Sativa L ◽  
Quality Parameters ◽  
Basmati Rice ◽  
Molecular Approaches ◽  
Gel Consistency ◽  
Rice Genotypes ◽  
Selection Of

The study investigates the genetic diversity among the Basmati rice genotypes. Selected nine Basmati rice genotypes were studied for twelve morphological traits, biochemical parameters and for molecular analysis with 11 SSR markers. Pusa Sugandha 5 and Basmati 370, showed strong aroma while other varieties showed medium aroma. Alkali spreading value were intermediate in Basmati 386, Vallabh Basmati 22 and Vallabh Basmati 24 while other varieties showed high values. Pusa Basmati 1 and Basmati 386 showed soft category of gel consistency while in rest varieties it was under medium category. Amylose percentage in grains were ranged from 18.02% (Taraori basmati) to 22.0% (Basmati370). Molecular analysis with 11 SSR markers showed 125 allels with an average number of allels 11.36 per locus. All the markers showed specific type of banding pattern along with 82 polymorphic allels in different genotypes. This study focuses on application of statistical methods and techniques in analysis of genetic diversity of the agronomic data, biochemical aspects related to quality parameters and at the molecular level using SSR markers for clustering procedure making dendrogram that helps the more accurate selection of the superior basmati genotypes for the further studies of the breeders and researchers.

scholarly journals Grain Quality and Multivariate Analysis of Various Quality Parameters in Rice Genotypes

2019 ◽  
Vol 39 (04) ◽  
Author(s):  
Kasturi Majumder ◽  
Disharee Nath ◽  
Rambilash Mallick ◽  
Tapash Dasgupta
Keyword(s):  
Significant Variation ◽  
Grain Quality ◽  
Quality Parameters ◽  
Consumer Acceptance ◽  
High Yield ◽  
Rice Breeding ◽  
Quality Traits ◽  
Rice Varieties ◽  
Rice Genotypes ◽  
Selection Of

Thirty-six rice genotypes were evaluated for thirteen different quality parameters along with yield/plant to assess genetic estimates of the traits and the extent of genetic diversity among the varieties. Analysis of variance was conducted to determine GCV, PCV, heritability and GA of the genotypes with respect to all characters. Significant variation was observed in many traits among the genotypes offering scope for selection. Correlation analysis determined the nature of relationship among these characters. UPGMA studies revealed six major clusters and cluster I and II were the largest with maximum number of genotypes. The study identified that the varieties namely, Black Gora, Kalinga-2, Dudheswar, ARC 10086, IR-36, IR-64 and Nipponbare possessed good quality traits and high yield performance. The current study indicated that developing rice varieties for consumer acceptance with good grain quality traits along with high yield will be very useful in rice breeding and in selection of parents for hybridization to combine both high yield and improved quality traits.

scholarly journals DETERMINATION OF FEED QUALITY PARAMETERS OF LEAVES AND STEMS OF DIFFERENT ALFALFA GENOTYPES

2021 ◽  
Vol 10 (20) ◽  
pp. 118-121
Author(s):  
Onur Okumus ◽  
Beyza Ciftci ◽  
Sati Uzun ◽  
Mahmut Kaplan
Keyword(s):  
Protein Content ◽  
Crude Protein ◽  
Quality Parameters ◽  
Neutral Detergent Fiber ◽  
Crude Protein Content ◽  
Protein Ratio ◽  
Feed Quality ◽  
High Effect ◽  
Selection Of

This research was carried out to determine feed quality parameters of leaves and stems of different alfalfa genotypes. A total of 12 alfalfa genotypes was used as the plant material for the study. Alfalfa plants were harvested at the flowering stage. The plants were dried at 70°C and grinded in a hand-mill with 1 mm sieve for chemical analysis. In leaf, the acid detergent fiber (ADF) content of genotypes varied between 21.62 - 27.40%, the neutral detergent fiber (NDF) content between 33.98 - 39.95%, and crude protein content between 24.68 - 28.45%, whereas in stem ADF content of genotypes varied between 50.99 - 57.72%, NDF content between 66.96 - 76.79 %, crude protein content between 8.46 - 11.00%. The RFV ranged from 159.18 to 197.27% and 53.22 to 67.06% for leaf and stem respectively. The leaf to stem ratio of genotypes ranged from 0.72 to 1.60. Considering current results from different genotypes, genotype has a high effect on feed quality. In addition, the rate of leaf to stems is also effective on feed quality. While the protein ratio of the leaves was higher than the stems, the ADF and NDF contents were found to be lower than the stems. So, in the selection of alfalfa genotypes, attention should be paid to the leaf to stem ratio as well as the yield.

scholarly journals Korelasi Pertumbuhan Dan Kandungan Karaginan Kappaphycus alvarezii Dan Eucheuma Spinosum Dengan Jarak Penempatan Rakit Apung Yang Berbeda Di Desa Grujugan Kecamatan Gapura Kabupaten Sumenep [Correlation Of Growth And Carragenan Content Of Kappaphycus alvarezii And Eucheuma Spinosum By Different Distance Placement Of Floating Rafts At The Grujugan Village, Sub-District Gapura, Residence Of Sumenep]

2019 ◽  
Vol 5 (2) ◽  
pp. 217
Author(s):  
Lina Wafia Asmi, Sri Subekti, Moch.Amin Alamsjah
Keyword(s):  
Growth Rate ◽  
Block Design ◽  
Kappaphycus Alvarezii ◽  
Quality Parameters ◽  
Good Growth ◽  
Randomized Block Design ◽  
Final Harvest ◽  
Selection Of ◽  
Temperature Water ◽  
Floating Rafts

Abstract The selection of right location is an important succeed factor of the seaweed cultivation to make seaweed a good growth. Seaweed Kappaphycus alvarezii and Eucheuma spinosum contain carrageenan which has been widely used in several industries. The aim of the research is to determine the correlation of growth and carrageenan content K. alvarezii and E. spinosum by different distance placement of floating rafts. Research method using experimental method and experimental design using randomized block design, followed by Duncan's test or Mann Whitney U test and furthermore linear correlation to determine the correlation between growth and carrageenan content. The treatment using different cultivation locations. On K. alvarezii with a distance of 100 m from the beach (RK1), a distance of 400 m from the beach (RK2), and a distance of 700 m from the beach (RK3). E. spinosum at a distance of 100 m from the beach (RE1), a distance of 400 m from the beach (RE2), and the distance of 700 m from the beach (RE3). Each treatment was repeated 9 times. The main parameters observed in this study is the growth rate of once every 10 days, and the content of carrageenan obtained from the extraction of the final harvest. Supporting water quality parameters include: temperature, water transparency, current velocity, substance nutrients (nitrate and phosphate), salinity, and pH. The results showed seaweed K. alvarezii and E. spinosum cultivated at a distance at 400 m from beach has the highest growth rate and yield best carrageenan content. From the results of the calculation of growth and carrageenan content K. alvarezii and E. spinosum with distance floating rafts of different placements had a very strong correlation

scholarly journals Influence of the drying regime on the quality indicators of dry mare’s milk

2021 ◽  
Vol 937 (2) ◽  
pp. 022099
Author(s):  
S Yu Smolentsev ◽  
L M Sufyanova ◽  
A S Makarov ◽  
N Yu Garafutdinova ◽  
O I Shorkina ◽  
...  
Keyword(s):  
Heat Treatment ◽  
Quality Indicators ◽  
Experimental Studies ◽  
Quality Parameters ◽  
Optimum Temperature ◽  
Optimal Temperature ◽  
Drying Process ◽  
Milk Pasteurization ◽  
Drying Regime ◽  
Selection Of

Abstract The data on the influence of the temperature regime of the spray drying process on the quality parameters of dry mare’s milk are given. The results of experimental studies on the selection of the optimal drying mode for maximum preservation of the quality indicators of the final product are presented. It was revealed that the optimum temperature during the drying process of mare’s milk is the temperature at the entrance to the dryer t = 180°C, at the exit t = 70-80°C. The study of qualitative indicators with this drying mode showed that the particle size (more than 68%) was 117-140 microns, the solubility index was 0.18 ml of insoluble sediment in 50 ml of reconstituted mare’s milk, the moisture in dry mare’s milk was 3.8% (at t = 180°C), which met all the requirements of the standard. In addition, it was found that the correct heat treatment of mare’s milk before drying also affects the quality indicators of the dry product. The most optimal temperature for milk pasteurization is a temperature of no more than 60°C.

scholarly journals Responsiveness of buckwheat varieties to foliar applications by microfertilizer under forest steppe of the volga region

2020 ◽  
Vol 27 ◽  
pp. 00048
Author(s):  
Lilia R. Klimova ◽  
Fanusya Z. Kadyrova ◽  
Rogat V. Minikaev ◽  
Alsu T. Khusnutdinova
Keyword(s):  
Foliar Application ◽  
Formation Rate ◽  
Inverse Correlation ◽  
Quality Parameters ◽  
Water Soluble ◽  
Forest Steppe ◽  
Yield And Quality ◽  
Grain Yield And Quality ◽  
Growing Conditions ◽  
Selection Of

The yields of modern intensive varieties of buckwheat in arid regions are highly susceptible to adverse hydrothermal growing conditions. The selection of optimal compositions and technologies for using modern agrochemicals that provide an adaptogenic effect and a favourable vegetation regime of plants can be an effective way to stabilize the grain production of this warm-loving but the drought-resistant crop. Scientists have poorly studied these issues and the issues of efficient use of mineral nutrition resources in buckwheat. They studied the responsiveness of buckwheat varieties, that differ in the morphological and biological characteristics of plants, to the foliar application by Yara concentrated complex water-soluble fertilizers containing macroand microelements.The data obtained indicate the presence of varietal specificity, which manifests itself to varying degrees of plant responsiveness to foliar application in the formation of leaf area, grain yield and quality indicators of the crop. The authors made conclusions about the preferred dates for foliar application with the studied Yara complex micronutrient fertilizers. When the foliar application of microelements in the phase of the beginning of grain formation, the K-850 cultivar had the highest yield and the best quality parameters of grains. For the K-899 cultivar, the application in the russeting phase was most effective for grains and affected the best plumpness of the grains. The more powerful morphological potential of Batyr plants was not realized by an adequate increase in yield for the performed feeding. The authors observed a slight tendency to decrease the crude protein content in grains during the foliar application which is probably due to the inverse correlation of this trait with the formation rate of the organic mass of plants.

scholarly journals Mapping Water Quality Parameters in Urban Rivers from Hyperspectral Images Using a New Self-Adapting Selection of Multiple Artificial Neural Networks

2020 ◽  
Vol 12 (2) ◽  
pp. 336 ◽  
Author(s):  
Yishan Zhang ◽  
Lun Wu ◽  
Huazhong Ren ◽  
Yu Liu ◽  
Yongqian Zheng ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Neural Networks ◽  
Water Quality ◽  
Artificial Neural Networks ◽  
Oxygen Demand ◽  
Quality Parameters ◽  
Hyperspectral Remote Sensing ◽  
Water Quality Parameters ◽  
Proposed Model ◽  
Selection Of

Protection of water environments is an important part of overall environmental protection; hence, many people devote their efforts to monitoring and improving water quality. In this study, a self-adapting selection method of multiple artificial neural networks (ANNs) using hyperspectral remote sensing and ground-measured water quality data is proposed to quantitatively predict water quality parameters, including phosphorus, nitrogen, biochemical oxygen demand (BOD), chemical oxygen demand (COD), and chlorophyll a. Seventy-nine ground measured data samples are used as training data in the establishment of the proposed model, and 30 samples are used as testing data. The proposed method based on traditional ANNs of numerical prediction involves feature selection of bands, self-adapting selection based on multiple selection criteria, stepwise backtracking, and combined weighted correlation. Water quality parameters are estimated with coefficient of determination R 2 ranging from 0.93 (phosphorus) to 0.98 (nitrogen), which is higher than the value (0.7 to 0.8) obtained by traditional ANNs. MPAE (mean percent of absolute error) values ranging from 5% to 11% are used rather than root mean square error to evaluate the predicting precision of the proposed model because the magnitude of each water quality parameter considerably differs, thereby providing reasonable and interpretable results. Compared with other ANNs with backpropagation, this study proposes an auto-adapting method assisted by the above-mentioned methods to select the best model with all settings, such as the number of hidden layers, number of neurons in each hidden layer, choice of optimizer, and activation function. Different settings for ANNS with backpropagation are important to improve precision and compatibility for different data. Furthermore, the proposed method is applied to hyperspectral remote sensing images collected using an unmanned aerial vehicle for monitoring the water quality in the Shiqi River, Zhongshan City, Guangdong Province, China. Obtained results indicate the locations of pollution sources.

scholarly journals A multi-factorial mathematical model for the selection of electropolishing parameters with a view to reducing the environmental impact

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Paweł Lochyński ◽  
Sylwia Charazińska ◽  
Maciej Karczewski ◽  
Edyta Łyczkowska-Widłak
Keyword(s):  
Mathematical Model ◽  
Weight Loss ◽  
Stainless Steel ◽  
Current Density ◽  
Quality Parameters ◽  
Important Goal ◽  
Process Duration ◽  
Metal Processing ◽  
Selection Of

AbstractElectrochemical metal processing is a process that generates harmful pollution. An important goal often disregarded by researchers is not only the achievement of the best possible quality of electropolished surface, but also minimising the load of metal ions in the wastewater generated in the process. The conducted experiments on the electropolishing of stainless steel in laboratory conditions, varied time, temperature and current density conditions, as well as process bath contamination (ranging from 0 to 6% Fe mass) allowed us to develop a multi-factorial mathematical model. This model offers the possibility of being able to select the process parameters recommended for achieving the desired effects. It takes into account such surface quality parameters as roughness and gloss, process duration and current density that determine power consumption, as well as the weight loss of the electropolished element that influence the rate of contamination in processing baths and wastewater. The study presents the composition of a passive film of stainless steel after the electropolishing process at the initial and final stages of the process bath’s exploitation. The results obtained from XPS tests were then correlated with the results of corrosion tests and resistance to pitting corrosion in the environment of 0.1 M NaCl.

scholarly journals Developments of orchard tillers and their assessment of intercultural work quality for suitably in Tarai region of Pantnagar

2021 ◽  
Vol 46 (2) ◽  
pp. 28-37
Author(s):  
Namdev Kumar ◽  
Rajnarayan Pateriya ◽  
Jagdish Manikrao
Keyword(s):  
Field Performance ◽  
Field Capacity ◽  
Quality Parameters ◽  
Quality Parameter ◽  
Work Quality ◽  
Actual Field ◽  
Narrow Space ◽  
Seedbed Preparation ◽  
Quality Assessments ◽  
Selection Of

Rotary tillers implements are now projected as important tillage machinery for better seedbed preparation; however the ordinary rotavator being in line with the tractor center line at the rear cannot be used in orchards due to the hindrance posed due to narrow space between the plants. Therefore, the concept of a rotary offset tiller in other words orchard tillers was proposed, which could perform finer intercultural operation between the plants. Since there are some models of Indians and Foreign made rotary offset tiller available and their work quality parameter significantly plays a crucial role in selection of efficient, effective and appropriate machine for orchards. Therefore, present study is carried out with a purpose of selection of suitable and efficient orchard tillers on the basis of intercultural work quality parameters. The various intercultural machines like Rineri offset tiller, Saktiman offset tiller and Side shift tiller selected for this study and finally, orchard tillers were analysed for intercultural work quality for their suitability in Pant Tarai region of Uttarakhand. The work quality assessments concluded that side shift tiller was supposed to be best among all other type of intercultural machines because of less fuel consumption 3.5 l/h, less mean weight diameter 42 mm, higher actual field capacity 0.47 and high field performance index 86 %. Therefore, side shift tiller can be recommended to farmers and found to be suitable for intercultural operation in Pant Tarai region.

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