Effect of salinity on gestation period, fry production, and growth performance of the sailfin molly (Poecilia latipinna lesueur) in captivity

Breeding and growth trials were carried out with Poecilia latipinna in different salinities (0.5, 10, 15, 25, and 35‰) and effects on gestation period, fry production, and fry growth (75 days) were examined. Results showed that while P. latipinna successfully spawned in all salinities, there was a significant difference in fry production among treatments. The minimum gestation period was 28 days in all salinities except fresh water (0.5‰); the maximum fry production was obtained in 25‰. Fry growth was highest in 10‰ and significantly differed (p<0.05) from the rest of treat- ments in terms of weight gain, specific growth rate (SGR), and feed conversion ratio (FCR). Maximum SGR was 3.35% per day in 10‰ salinity. FCR ranged 4.28-5.67. The results suggest that the optimum salinities for breeding and rearing P. latipinna are around 25‰ and 10‰, respectively

Assessment of Intermittent Leather based on Image Score Pattern

The process of intermittent leather inspection is being predominantly carried out with the support of human intervention based on homogenous distribution of colors. However, results of the observations between one experts to another expert may be different in opinion. Therefore, to emphasis some sort of supporting hand to the experts while taking decision, the authors have introduced to align intermitted leather images based on the Image Score Pattern algorithm. Which separates defect versus non-defect intermittent leather images from feature image datasets namely DGF, DLO, DGFLO and DLOGF consisting of 32 features generated from Gray Level Co-occurrence Matrix, Simple Linear Iterative Clustering and Minimum Spanning Tree Clustering from the training and testing datasets of about 1132 and 404 generated respectively. Gradient Boosting has implemented in finding the key feature among the Contrast, Dissimilarity, Homogeneity, Energy, Correlation and Angular Second Moment. The results of the classifier Support Vector Machine for these datasets confirms the accuracy of 84% for the proposed Image Score Pattern algorithm. The other performance measures such as Error Rate, Recall, False Positive Rate, Specificity, Precision and Prevalence  are also confirming that proposed method is performing in aligning of intermittent leathe

A Software Model for Estimation and Prediction of Unevenly Spaced Livestock Population

The prediction software for livestock population and availability of hides and skins, named as LivSoft is a simple software tool for the prediction of livestock population and estimation of availability of hides and skins from the predicted livestock population. This software is developed for the benefit of leather industry/sector. Database on livestock population has been obtained from livestock census data. It automatically does the calculation by using the parameters like annual growth rate and standard error, basically which forms an input for the statistical model to predict the livestock population and thereby estimating the availability of hides and skins. The predicted livestock population is validated / compared with the regression model. This version will predict the livestock population at the national level. Key words: Statistical Modelling, Database, Regression, Growth Rate, Net Off-Take Rate, Livsof

Compatibility of mulberry silk fabric with cow nappa leather for product development

The present work describes the application of silk fabric for leather garments and goods to support the leather products industry in identifying alternate raw material. The results show that the quilted silk fabric has the potential to be combined with cow nappa leather to make products with improved strength and enhanced aesthetic appeal. The major findings of this study also prove that on treatment with artificial alkaline perspiration, leather and silk-based samples behave inversely and this relation gives a clear direction to product designers and developers about the placement of leather and silk panels while making combination products. Apparently, this study helps the silk industry to attain the major share in the domestic and global market.

Compatibility of mulberry silk fabric with cow nappa leather for product development

298-304The present work describes the application of silk fabric for leather garments and goods to support the leather products industry in identifying alternate raw material. The results show that the quilted silk fabric has the potential to be combined with cow nappa leather to make products with improved strength and enhanced aesthetic appeal. The major findings of this study also prove that on treatment with artificial alkaline perspiration, leather and silk-based samples behave inversely and this relation gives a clear direction to product designers and developers about the placement of leather and silk panels while making combination products. Apparently, this study helps the silk industry to attain the major share in the domestic and global market

Vegetable Products as Dietary Pigment Sources for Juvenile Goldfish, Carassius auratus

Amaranthus leaf meal, moringa leaf meal, and red chili powder were chemically analyzed and evaluated as carotenoid sources in diets for juvenile goldfish, Carassius auratus. The fish readily accepted all test diets, indicating good palatability of the tested ingredients. In a 56-day growth trial, all growth performance indicators except survival significantly varied (p<0.05) between dietary treatments. The highest weight gain (1.19 g) was achieved by fish fed the diet containing krill meal (positive control diet), but this weight gain did not significantly differ from that of fish fed the diet containing red chili powder. Total carotenoids were significantly highest (p<0.05) in fish fed the diet containing red chili powder (2.07 μg/g) and very low in fish fed the diet containing no pigment supplement (negative control). Growth, skin coloration, and total carotenoids in the tissue were satisfactory in fish fed the diets containing amaranthus or moringa leaf meal

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Assessment of Intermittent Leather based on Image Score Pattern

605-614The process of intermittent leather inspection is being predominantly carried out with the support of human intervention based on homogenous distribution of colors. However, results of the observations between one experts to another expert may be different in opinion. Therefore, to emphasis some sort of supporting hand to the experts while taking decision, the authors have introduced an algorithm based on Image Score Pattern to distinguish between defect versus non-defect intermittent leather images. About 32 features generated from Gray Level Co-occurrence Matrix, Simple Linear Iterative Clustering and Minimum Spanning Tree Clustering from the training and testing datasets of about 1132 and 404 generated. The results of the classifier Support Vector Machine has confirmed the accuracy of 84% for the proposed Image Score Pattern method for these datasets. Similarly, other performance measures such as Precision, Recall, F1-Score, Specificity and Error Rate are also confirming that proposed method is performing in aligning of intermittent leather

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