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Home > Effect of Varying Dietary Protein Levels on Growth Performance, Proximate and Elemental Composition of Thaila Catla Catla under Polyculture System from Southern Punjab, Pakistan

Effect of Varying Dietary Protein Levels on Growth Performance, Proximate and Elemental Composition of Thaila Catla Catla under Polyculture System from Southern Punjab, Pakistan

Thesis Info

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Author

Ishtiaq, Abir

Program

PhD

Institute

Bahauddin Zakariya University

City

Multan

Province

KPK

Country

Pakistan

Thesis Completing Year

2019

Thesis Completion Status

Completed

Subject

Zoology

Language

English

Link

http://prr.hec.gov.pk/jspui/bitstream/123456789/12265/1/Abir%20Ishtiaq-PhD%20Zoology-BZU%20Multan-2019%20prr.pdf

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676726007464

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Fish received increased attention as a potential source of animal protein and essential nutrients for human diets. Artificial food is required to maintain a high density of fish in farming conditions, than the natural fertility of the water. Fish reared in farming systems have different nutritional requirements than those in the wild. So, well-balanced feeds are necessary nutritionally for pond culture. Growth rate, efficiency of feed conversion and chemical composition of fish have a pronounced effect on the quantity and quality of food consumed. The growth and feed conversion ratio of a fish is remarkable tool to compute the acceptability of artificial feed. Thus, the aim of the present study was to investigate the growth performance, proximate and elemental composition of Catla catla reared under polyculture system by feeding artificial fish diets containing different levels of crude protein. For the present study, four different artificial fish diets with 15% CP (CP-15), 20% CP (CP-20), 25% CP (CP-25) and 30% CP (CP-30) were prepared by using locally available ingredients. Feeding trials were conducted in twelve earthen ponds at three different sites of southern Punjab, Pakistan (Figure I), during July to December, 2014. Catla catla were stocked at the rate of 3942 fish/ hectare (2000 fish/acre), having 30% of studying Major Carp, Catla catla, with Labeo rohita (60%) and Cirrhinus mrigala (10%) in the ponds. Four different artificial diets containing 15%, 20%, 25% and 30% of crude protein (CP-15, CP-20, CP-25 and CP-30, respectively) were offered at the rate of 4% of body weight of fish stock in four different treatments, T1, T2, T3 and T4, respectively. To adjust the feeding rate and to observe growth of fish, sampling was done at an interval of 30 days. The feeding trials lasted for 180 days. Various growth parameters such as percent weight gain, specific growth rate (SGR) and feed conversion ratio (FCR) were calculated by using standard formulae, at the end of feeding trial. Proximate composition of fish samples from each treatment was analyzed. Water content was determined by the oven drying method. Ash content was determined by using a muffle furnace. Fat content was measured by extraction in a mixture of chloroform and methanol. Protein content was estimated by difference from the mass of other main constituents. Elemental concentrations of Cd, Fe, K, Na, Pb and Zn in the fish samples of Catla catla were determined by using Flame Atomic absorption spectrophotometer. Differences among treatment means were determined by Duncan’s Multiple Range Test at a p<0.05 level of significance. Presently reported study suggested that among the different dietary protein levels (15%, 20%, 25% and 30% CP), tested for the study of growth performance of Catla catla under polyculture system with high stocking density (2000 fish/acre), 25% CP showed better FCR, survival and production. Hence, best protein level for optimum growth of Catla catla was observed to be 25% and it was not significantly different from that achieved by 30% (p<0.05) dietary protein level. Hence feed containing 25% CP was found to be satisfactory for fish growth instead of 30% CP. The present study also revealed feasibility of higher stocking density (upto 2000 fish/acre) especially in polyculture system. Estimated slope (b) values for LWRs in all four studied treatments and for overall data were found within the expected range of 2.5 - 3.5. Results for LWRs indicated negative allometric growth pattern in T1, positive allometric in T3 and T4, while isometric growth pattern in T2 for overall data. Mean percentages of moisture, ash, fat and protein contents in different treatments were ranged 74.82-77.05, 3.26-4.51, 5.10-5.18 and 13.52-15.94%, respectively. The dietary protein level 25% and 30% in fish feed would result in quality improvement of the chemical composition of fish. Proximate body composition of Catla catla of treatments having 25% CP and 30% CP were similar and found to be nonsignificantly higher than those fed with 15% and 20% CP. Hence feed containing 25% CP was found to be satisfactory for fish growth instead of 30% CP. Predictive regression equations in the present study demonstrated that body size significantly influenced the proximate body composition of Catla catla. Mean Fe, K, Na and Zn concentrations (μgg-1) in wet weight of Catla catla were found 58.58-95.05, 237.89-262.71, 379.44-396.78 and 14.47-16.55 μgg-1, reared under polyculture system by feeding various levels of fish feed in different treatments. Cadmium and lead were found below detectable limits in the body of Catla catla in all studied treatments. Analyzed metal concentrations were found lower than the permissible limits, proposed by different international organizations. For all studied treatments, the metal concentrations increased in the order: Cd=Pb<Zn<Fe<K<Na in the present work. Elevated trend was noticed among the essential metals and decreased trend among the nonessential metals were observed in the fish. Potassium concentrations in whole body of Catla catla presented differences (p < 0.05), however, iron, sodium and zinc concentrations showed no significance difference among studied treatments. Moreover, size of the fish found significantly correlated with Na and K, while remained constant with Fe and Zn concentration. The present work will help to improve fish production as well as promote aquaculture industry in the country. It will also be helpful in popularization of high stocking fish culture and use of artificial diets in public and private sector within the country. However, further studies on growth performance and chemical composition of fish by feeding various levels of dietary protein levels and inclusion of other fish species and hybrid fish in polyculture farming system may help in enhancing the production.
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چلے چلو کہ منزل ابھی نہیں آئی

چلے چلو کہ منزل ابھی نہیں آئی
نحمدہ ونصلی علی رسولہ الکریم امّا بعد فاعوذ بااللہ من الشیطن الرجیم
بسم اللہ الرحمن الرحیم
معزز اسا تذہ کرام اور میرے ہم مکتب شاہینو! آج مجھے جس موضوع پر لب کشائی کا موقع مل رہا ہے وہ ہے:’’چلے چلو کہ منزل ابھی نہیں آئی ‘‘
صدرِذی وقار!
منزل کے حصول کے لیے جدوجہد ہر ذی روح کی خواہش رہی ہے، ہر کس و ناکس اس کے لئے کدوکاوش کرتا ہے، اس کی زندگی کا ہر لمحہ حصولِ منزل کے لئے وقف ہوتا ہے، ہمہ قسم لوگ شبانہ روز اس مقصد کے حصول کی خاطر کوشاں رہتے ہیں ، حصول منزل میں ہر آنے والی رکاوٹوں کو ختم کرنے کے درپے ہوتے ہیں، اور پھر یونہی ان کے لمحاتِ زیست گزرتے رہتے ہیں۔
جنابِ صدر!
حشرات الارض سے لے کر انسان تک ہر ایک اپنی منزل کی طرف گامزن ہے، ہر ایک کی اپنی ایک منزل ہے، مورومگس کی منزل اور ہے، گل لالہ کی منزل اور ہے، جوئے نغمہ خواں کی منزل اور ہے، حر یرو پر نیاں کی منزل اور ہے، زمین پر رینگنے والی مخلوق کی منزل اور ہے، گل لالہ کے گردبھنبھنانے والی شہد کی مکھی کی منزل اور ہے، غلاظت پر چکر لگانے والی مکھی کی منزل اور ہے۔
صدرِ محترم!
گلستان میں عندلیب خوش الحان کی منزل اور ہے، برگد کے درخت پر موجود بوم کی منزل اور ہے، آبادی میں شجر سایہ دار کی منزل اور ہے، ویرانے میں خشک تنے والے درخت کی منزل اور ہے، فضاء میں محو پرواز عقاب وشاہین کی منزل اور ہے ،مُردار کے گرد چکر لگانے والی گدھ کی منزل اور ہے۔
پرواز ہے دونوں کی اسی ایک فضا میں
کرگس کا جہاں اور ہے شاہیں کا جہاں اور
جنابِ صدر!

Islāmic Perspective of Inter-Religious Dialogue: A Study of Faith Based Reconciliation

This paper intends to discuss the inter-religious dialogue and the Prophet’s engagement with the ‘Other’. Both dialogue and faith-based reconciliation provide a way to mankind by which the world will become peaceful place to live. In this violence torn world, reconciliation on the basis of faith is needed, so that unity may be created out of diversity. This paper argues that interfaith dialogical theory profits from a deep understanding of moral psychology and social learning theory. The paper highlights that reconciliation belongs to Abrahamic legacy, and also focuses on how Islam established and come up with advanced civilizations characterized by relatively harmonious co-existence between Muslims, Christians and Jews. It is through reconciliation that we regain our humanity. To work for reconciliation is to live and to show others what their humanity is. The paper also shed light on faith-based reconciliation in its Islamic perspective. It is this context the present paper has been drafted.

Optical Character Recognition for Printed Urdu Nastaliq Font

Optical Character Recognition (OCR) is one of the most investigated pattern classification problems that has received remarkable research attention for more than half a century. From the simplest systems recognizing isolated digits to end-to-end recognition systems, applications of OCRs vary from postal mail sorting to reading systems in scene images facilitating autonomous navigation or assisting the visually impaired. Despite tremendous research endeavors and availability of commercial recognition engines for many scripts, recognition of cursive scripts still remains an open and challenging research problem mainly due to the complexity of script, segmentation issues and large number of classes to recognize. Among these, Urdu makes the subject of our study. More specifically, this study investigates the recognition of printed Urdu text in Nastaliq style, the most widely employed script for Urdu text that is more complex than the Naskh style of Arabic. This work presents a holistic (segmentation-free) technique that exploits ligatures (partial words) as units of recognition. Urdu has a total of more than 26,000 unique ligatures, many of the ligatures, however, share the same main body (primary ligature) and differ only in the number and position of dots and diacritics (secondary ligatures). We exploit this idea to separately recognize the primary and secondary ligatures and later re-associate the two to recognize the complete ligature. Recognition is carried out using two techniques; the first of these is based on hand-crafted statistical features using hidden Markov models (HMMs). Features extracted using sliding windows are used to train a separate model for each ligature class. Feature sequences of the query ligature are fed to all the models and recognition is carried out through the model that reports the maximum probability. The second technique employs Convolutional Neural Networks (CNNs) to automatically extract useful feature representations from the classes and recognize the ligatures. We investigated the performance of a number of pre-trained networks using transfer learning techniques and trained our own set of networks from scratch as well. Experimental study of the system is carried out on two benchmark datasets of Urdu text, the ‘Urdu Printed Text Images’ (UPTI) database and the ‘Center of Language Engineering’ (CLE) database. A number of experimental scenarios are considered for system evaluation and the realized recognition rates are compared with state-of-the-art recognition systems for printed Urdu text. An interesting aspect of experimental study is the combination of unique ligatures in the two datasets to generate a large set of around 2800 unique primary and secondary ligatures covering a major proportion of the Urdu corpus. The system reports high classification rates (88.10% and 94.78% on CLE and UPTI query ligatures respectively) demonstrating the effectiveness of the proposed recognition techniques which can be adapted for other cursive scripts as well. The findings of this study are expected to be useful for the document recognition community in general and researchers targeting cursive scripts in particular.