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Developing Denim Like Wash Effect on Corduroy Garments and Investigation of Different Physical Properties of Washed Corduroy Garments 被引量:2
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作者 Gazi Farhan Ishraque Toki Akash Banik +5 位作者 Taosif Ahmed Rony Mia Rezaul Karim Khan Alave Jarin Jahan Md. Mostafizur Rahman Palash Md. Salman Farsee 《Journal of Textile Science and Technology》 2021年第1期1-13,共13页
Corduroy yarn is generally introduced in a fabric structure of garments due to developing different designs in terms of appearance of fabric which is called corduroy garment. In this study, both corduroy and denim gar... Corduroy yarn is generally introduced in a fabric structure of garments due to developing different designs in terms of appearance of fabric which is called corduroy garment. In this study, both corduroy and denim garments have been made to develop a denim-like wash effect on corduroy garments that will create a new fashion, value addition and sustainability in washing technology. Both the garments are treated with the same washing process. Also, some physical properties have been investigated for both washed garments such as Washing Effect Test, Tear Strength Test, GSM Test, and Rubbing Test. Then a comparative study has been done on both washed garments. The appearance of washed corduroy garments is satisfactory. The physical properties also show a better result. Finally, a satisfactory result is achieved from this work. 展开更多
关键词 Washing and Finishing Treatments DENIM CORDUROY Rubbing Test Tearing Strength Gram Per square meter Test
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Multivariate Cluster and Principle Component Analyses of Selected Yield Traits in Uzbek Bread Wheat Cultivars 被引量:1
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作者 Shokista Sh. Adilova Dilafruz E. Qulmamatova +2 位作者 Saidmurad K. Baboev Tohir A. Bozorov Aleksey I. Morgunov 《American Journal of Plant Sciences》 2020年第6期903-912,共10页
Investigation of genetic diversity of geographically distant wheat genotypes is </span><span style="font-family:Verdana;">a </span><span style="font-family:Verdana;">useful ... Investigation of genetic diversity of geographically distant wheat genotypes is </span><span style="font-family:Verdana;">a </span><span style="font-family:Verdana;">useful approach in wheat breeding providing efficient crop varieties. This article presents multivariate cluster and principal component analyses (PCA) of some yield traits of wheat, such as thousand-kernel weight (TKW), grain number, grain yield and plant height. Based on the results, an evaluation of economically valuable attributes by eigenvalues made it possible to determine the components that significantly contribute to the yield of common wheat genotypes. Twenty-five genotypes were grouped into four clusters on the basis of average linkage. The PCA showed four principal components (PC) with eigenvalues ></span><span style="font-family:""> </span><span style="font-family:Verdana;">1, explaining approximately 90.8% of the total variability. According to PC analysis, the variance in the eigenvalues was </span><span style="font-family:Verdana;">the </span><span style="font-family:Verdana;">greatest (4.33) for PC-1, PC-2 (1.86) and PC-3 (1.01). The cluster analysis revealed the classification of 25 accessions into four diverse groups. Averages, standard deviations and variances for clusters based on morpho-physiological traits showed that the maximum average values for grain yield (742.2), biomass (1756.7), grains square meter (18</span><span style="font-family:Verdana;">,</span><span style="font-family:Verdana;">373.7), and grains per spike (45.3) were higher in cluster C compared to other clusters. Cluster D exhibited the maximum thousand-kernel weight (TKW) (46.6). 展开更多
关键词 Bread Wheat Principal Component Analysis Dispersion Cluster Analysis Grain Yield Spike Number Per square meter Drought Stress Thousand-Kernel Weight
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