The Effect of Rain on Fiber and Yarn Quality of Cotton (G. hirsutum L.) Varieties in Two Different Growing Seasons

2022 ◽  
pp. 1-13
Author(s):  
Cevher Ilhan Cevheri
Keyword(s):  
Growing Seasons ◽  
Yarn Quality

The Spinning Quality Control Management Based on Decision Making by Data Mining Techniques

2018 ◽  
Vol 7 (1) ◽  
pp. 72
Author(s):  
Khalid AA Abakar ◽  
Chongwen Yu
Keyword(s):  
Data Mining ◽  
Kernel Functions ◽  
Support Vector ◽  
Ann Model ◽  
Data Mining Techniques ◽  
Yarn Quality ◽  
Yarn Properties ◽  
Svm Model ◽  
Rbf Kernel

This work demonstrated the possibility of using the data mining techniques such as artificial neural networks (ANN) and support vector machine (SVM) based model to predict the quality of the spinning yarn parameters. Three different kernel functions were used as SVM kernel functions which are Polynomial and Radial Basis Function (RBF) and Pearson VII Function-based Universal Kernel (PUK) and ANN model were used as data mining techniques to predict yarn properties. In this paper, it was found that the SVM model based on Person VII kernel function (PUK) have the same performance in prediction of spinning yarn quality in comparison with SVM based RBF kernel. The comparison with the ANN model showed that the two SVM models give a better prediction performance than an ANN model.

scholarly journals Microbial quality of linseed and fibre hemp plants during growing and harvest seasons

2008 ◽  
Vol 13 (4) ◽  
pp. 327 ◽  
Author(s):  
M. KOIVULA ◽  
H-R. KYMÄLÄINEN ◽  
L. VANNE
Keyword(s):  
Cannabis Sativa ◽  
Raw Materials ◽  
Microbiological Quality ◽  
Growing Season ◽  
Plate Count ◽  
Production Chain ◽  
Growing Seasons ◽  
Linum Usitatissimum L ◽  
Microbiological Analyses

Linseed (Linum usitatissimum L.) and fi bre hemp (Cannabis sativa L.) can be used as raw materials in various applications. In this study, microbiological quality and meteorological measurements were made during the growing seasons and harvesting periods of 2001 and 2002. The microbiological analyses were carried out with Hygicult® TPC and Y&F dipslides, and with a surface spreading method using Plate Count and Potato Dextrose agars. During the growing season of 2001 the conditions were mostly humid, whereas the growing season of 2002 was rather dry and warmer than that of 2001. The lack of water during the growing season of 2002 affected the growth of the plants. In the case of both hemp and fl ax, the mould and bacterial contents (cfu gdw-1) increased markedly at the end of the growing season of 2001. During the growing season of 2002 the increase in mould and bacterial contents was noticeable but more constant throughout the whole growing season. At the end of the growing seasons, the mould and bacteria contents were higher in 2001 than in 2002. The genera of moulds identifi ed included Cladosporium, Fusarium, Penicillium, Mucor and Alternaria. The microbiological safety should be controlled during the whole production chain, beginning with the cultivation and harvesting periods.;

scholarly journals Quality yarn index using AHP and Fuzzy method

2020 ◽  
Vol 71 (05) ◽  
pp. 487-491
Author(s):  
MOHAMED BEN HASSEN ◽  
MOHAMED TAHER HALIM ◽  
EMAD ABUALSAUOD ◽  
ASEM OTHMAN
Keyword(s):  
Fuzzy Theory ◽  
Relative Importance ◽  
Analytic Hierarchy ◽  
Yarn Quality ◽  
Multicriteria Problem ◽  
Global Quality ◽  
Matrix Coefficients ◽  
Mechanical And Physical Properties ◽  
Hierarchy Process

The yarn quality depends on many parameters: characteristics parameters, mechanical and physical properties. Making the hypothesis that the quality of the yarn is a multicriteria problem, in this paper, we propose a new method to determine the Quality Yarn Index QYI based on Analytic Hierarchy Process AHP and Fuzzy theory. A questionnaire was designed for experts of each field (weaving and knitting) to evaluate the relative importance for each property to determine coefficients of the AHP matrix. Results revealed that matrix coefficients changed with yarn application (weft or warp weaving and knitting) The QYI can be used in any application, where a rapid decision is needed, to evaluate the global quality of yarn and to make a comparison between different yarn qualities

scholarly journals Assessment of the Potential of 1-Methylcyclopropene Treatments to Maintain Fruit Quality of the Common Fig (Ficus carica L. cv. ‘Bursa Siyahi’) during Refrigerated Storage

2014 ◽  
Vol 42 (2) ◽  
pp. 516-522 ◽  
Author(s):  
Okan OZKAYA ◽  
Songül ÇÖMLEKÇIOGLU ◽  
Hatice DEMIRCIOGLU
Keyword(s):  
Respiration Rate ◽  
Cold Storage ◽  
Ficus Carica ◽  
Soluble Solids ◽  
First Year ◽  
Limited Effect ◽  
Growing Seasons ◽  
The Common ◽  
Second Year

The fig fruit is a unique, climacteric, highly perishable subject to rapid physiological breakdown. Application of 1-methylcyclopropene (1-MCP) was tested to delay ripening of black fig (Ficus carica L. cv. ‘Bursa Siyahi’) during storage overtwo growing seasons. Fruits were pre-cooled to 1 °C for 6 hours and afterwards treated with 500 or 1000 nl l-1 of 1-MCP for24 hours. Treated fruits were stored for 10 days at 1 °C, 90-95% RH and then evaluated. 1-MCP treatments showed thatethylene production, respiration rate, weight loss and concentrations of glucose, fructose and total soluble solids (TSS) were negatively correlated to the 1-MCP doses during cold storage (with the exception of TSS in the first year of experiment and respiration rate in the second year of the experiment). In contrast, pulp firmness and colour (ho) during cold storage werepositively correlated to the 1-MCP applied doses. Results of this study showed that although 1-methylcyclopropene applications slowed down fruit softening during the 10 days of storage, 1-methylcyclopropene appeared to have a relatively limited effect on slowing ripening of ‘Bursa Siyahi’ figs.

scholarly journals Effect of soil potassium on yield and quality of diverse sugar beet genotypes

2011 ◽  
Vol 48 (No. 9) ◽  
pp. 418-423
Author(s):  
M. Antunović ◽  
D. Rastija ◽  
M. Pospišil
Keyword(s):  
Sugar Beet ◽  
Negative Correlation ◽  
Potassium Concentration ◽  
Sugar Content ◽  
Root Yield ◽  
Beet Root ◽  
Growing Seasons ◽  
Yield And Quality ◽  
Sugar Beet Root

Aiming at determination differences in leaf and root potassium concentration of diverse sugar beet genotypes as well as its effect on sugar beet root quality and yield. Investigations comprising 15 sugar beet genotypes (five multigerm lines, five hybrids and five monogerm lines) were carried out on two soil types (Calcic luvisol: L-1 and L-3 and Calcic gleysol: L-2 and L-4) during two growing seasons. Root yield of the investigated genotypes on Calcic luvisol (50 t/ha) was higher, than on Calcic gleysol (34 t/ha). In general, multigerm lines were known for the highest leaf potassium concentration (2.75%), lowest root one (3.78 mmol/100 g root), highest sugar content (13.8%) and best root extractable sugar (1.5%). Monogerm lines had the lowest leaf potassium concentration (2.51%), highest root one (4.24 mmol/100 g root), lowest sugar content (12.9%), and the poorest extractable sugar (10.7%). Root yield of the investigated hybrids (48 t/ha) was higher by 16% compared to multigerm lines yield (42 t/ha) and as much as 35% higher compared to monogerm lines (36 t/ha). Sugar beet root potassium was in significantly negative correlation with sugar content at three localities (L-1: r = –0.485**, L-2: r = –0.096, L-3: r = –0.687**, L-4: r = –0.337**) whereas at all four localities it was in negative correlation with extractable sugar (L-1: r = –0.634**, L-2: r = –0.407**, L-3: r = –0.930**, L-4: r = –0.749**). Potassium concentration in sugar beet leaf was in significant positive correlation with sugar content at three localities (L-1: r = 0.382**, L-2: r = 0.231, L-3: r = 0.717**, L-4: r = 0.516**).

scholarly journals Biochemical and economical effect of application biostimulants containing seaweed extracts and amino acids as an element of agroecological management of bean cultivation

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Sławomir Kocira ◽  
Agnieszka Szparaga ◽  
Patryk Hara ◽  
Krzysztof Treder ◽  
Pavol Findura ◽  
...  
Keyword(s):  
Amino Acids ◽  
Antioxidant Activities ◽  
Positive Impact ◽  
Economic Benefits ◽  
Starch Accumulation ◽  
Seaweed Extracts ◽  
Growing Seasons ◽  
Data Application ◽  
Bean Plants

Abstract The implementation of agronomic activities, based on the use of biostimulants, is an important element of agroecological practices. Therefore, comprehensive research was carried on the use of biostimulants. A field experiment was performed in 2016–2018 with common bean of Mexican Black cultivar. In particular growing seasons, bean plants were treated with Kelpak SL (seaweed extracts) and Terra Sorb Complex (free amino acids) in the form of single and double spraying with two solutions concentrations. According to the obtained data, application of biostimulants increased the yield of bean. Better results were observed after the use of Kelpak SL. The application of preparations influenced nutritional and nutraceutical quality of bean seeds. Terra Sorb Complex caused the highest increase in proteins level. In the light of achieved data, biostimulants in similar level decreased the starch accumulation. The most promising results, in the context of nutraceutical value of bean, were obtained in the case of increasing level of fiber. A positive impact of biostimulants on the seeds antioxidant potential was noted, expressed by the increased synthesis of phenolics, flavonoid, anthocyanins and antioxidant activities. Results of this study, directly indicate economic benefits from the use of biostimulants, which are extremely important to the farmers.

A Study on Growth and Financial Performance of Selected Textile Companies in Coimbatore District

1970 ◽  
Vol 3 (2) ◽  
pp. 101-111
Author(s):  
P. Chellasamy ◽  
N. Sumathi
Keyword(s):  
Driving Force ◽  
Garment Industry ◽  
Cotton Yarn ◽  
Remarkable Improvement ◽  
Yarn Quality ◽  
Coimbatore District ◽  
The World ◽  
Cotton Yarns ◽  
Yarn Production

The textile and garment industry fulfils a pivotal role in the Indian economy. It is a major foreign exchange earner and, after agriculture, it is the largest employer with a total workforce of 35 mn. In 2005 textiles and garments accounted for about 14% of industrial production and 16% of export earnings. In cotton yarn production India has made a mark in the world textile scenario. It is the largest exporter of the cotton yarns in the world. Besides yarn exports, India’s growing garment industry is working as a driving force to improve the yarn quality and to increase the production of cotton yarn. This has resulted in an overall improvement in the quality of all textile products including yarn and fabric. The WTO era has seen remarkable improvement in export of textiles. To help the mills in bench marking, SITRA has conducted a survey on the cotton yarn quality for fine and superfine yarns, in which 58 mills from all over India have taken part.

The effect of growing sites on grain quality of oats and pasting properties of oatmeals

1999 ◽  
Vol 50 (8) ◽  
pp. 1409 ◽  
Author(s):  
M. X. Zhou ◽  
M. Glennie-Holmes ◽  
G. L. Roberts ◽  
K. Robards ◽  
S. Helliwell
Keyword(s):  
Chemical Composition ◽  
Pasting Properties ◽  
Kernel Weight ◽  
Milling Quality ◽  
Growing Seasons ◽  
South Wales ◽  
Grain Milling ◽  
Oil Concentration ◽  
Growing Conditions

To assess the effect of growing sites on oat quality, 8 varieties were grown at 13 sites in New South Wales, Australia, in the 1995–96 and 1996–97 growing seasons. Grain milling quality, chemical composition, and pasting properties differed significantly between sites and were related to both variety and growing conditions. Varieties were the main determining factor of kernel size, kernel weight, and oil concentration, whereas growing conditions accounted for most of the variance in groat percentage and protein concentration. Breeding and selection offer opportunities for improving oat quality, and selecting suitable sites to grow oats could greatly improve milling quality and pasting properties, and ensure appropriate chemical composition.

ANISE (PIMPINELLA ANISUM): CHANGES IN YIELDS AND COMPONENT COMPOSITION ON HARVESTING AT DIFFERENT STAGES OF PLANT MATURITY

2009 ◽  
Vol 45 (1) ◽  
pp. 117-126 ◽  
Author(s):  
ABDULHABIP ÖZEL
Keyword(s):  
Essential Oil ◽  
Block Design ◽  
Component Composition ◽  
Growth Stages ◽  
Growing Seasons ◽  
Maturation Stages ◽  
Plant Maturity ◽  
Harvesting Stage ◽  
Main Component

SUMMARYThis study investigated the effects of harvesting at different plant maturation stages on the yield and component compositions of aniseed. It was carried out on the Harran Plain (Sanliurfa, Turkey) in the 2002 and 2003 growing seasons. A randomized complete block design was used. The plants were harvested at 10 different growth stages and determinations were made of the yields of seed, the essential oil and its main component (E)-anethole, the weight of 1000 seeds, the number of umbels per plant, the number of seedless umbels per plant and number of seeds per umbel. Statistical analyses indicated that all properties studied were affected by the harvesting stage. The fourth harvesting stage gave the highest yields of seed, essential oil and (E)-anethole. The first and second harvesting stages provided the best quality of essential oils with a high (E)-anethole content.

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