Publisher of Iranian Journals and Conference Proceedings

Please waite ..
Publisher of Iranian Journals and Conference Proceedings
Login |Register |Help |عضویت کتابخانه ها
Paper
Title

Prediction of survival rate in European white fish (Coregonus lavaretus) fry on three different feeding regimes

Year: 1390
COI: JR_JIFRO-10-2_001
Language: EnglishView: 25
This Paper With 15 Page And PDF Format Ready To Download

Buy and Download

با استفاده از پرداخت اینترنتی بسیار سریع و ساده می توانید اصل این Paper را که دارای 15 صفحه است به صورت فایل PDF در اختیار داشته باشید.
آدرس ایمیل خود را در کادر زیر وارد نمایید:

Authors

Abstract:

 During the early stages of white fish, survival rate is a very effective parameter on future fry’s sustainability, especially when they are going to be released into the natural habitat for restocking. The aim of this study is to define relationships between morphological and functional traits and the survival rate of the European white fish fry (Coregonus lavaretus) when they were fed with different feeding regimes. One hundred and fifty newly hatched white fish fry stocked into nine rearing cages, under a flow-through rearing system, were distributed randomly in a natural pond, and nourished for twelve weeks with three kinds of food, the rotifer (Brachionus  plicatilis), a compound Salmonidae commercial diet and a mixture of ۵۰% of each , all treated in triplicates. The backward method of regression procedure was used for statistical analysis.  Combinations of independent variables to multiple linear regression models were based on the changes in the R۲ statistics and the F-value were produced by adding or deleting an independent variable. The five variable combinations (individual weight, length, total weight gain, total feeding rate, and feed efficiency) predicted the larval survival rate in multiple linear regression models and supported by partial correlation. This study revealed that length and weight bear negative signs whenever they appear in these statistical relations. Also the higher the feeding rate, the survival rate increases accordingly regardless of the treatment effect. Finally, in mixed feed, predicting the survival rate is easier and more practical since the only parameters remaining in the equation are the length and weight of the fry. Perhaps this finding is because of the fact that the co feeding (rotifer and compound) can better satisfy the nutritional needs of these larvae than each feed alone.

Keywords:

Paper COI Code

This Paper COI Code is JR_JIFRO-10-2_001. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/1402143/

How to Cite to This Paper:

If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Ahmadi, M. R. and Mahmoudzadeh, H. and Babaei, M. and Shamsaei Mehrjand, M.,1390,Prediction of survival rate in European white fish (Coregonus lavaretus) fry on three different feeding regimes,https://civilica.com/doc/1402143

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :

  • ...

Research Info Management

Certificate | Report | من نویسنده این مقاله هستم

اطلاعات استنادی این Paper را به نرم افزارهای مدیریت اطلاعات علمی و استنادی ارسال نمایید و در تحقیقات خود از آن استفاده نمایید.

Share this page

More information about COI

COI stands for "CIVILICA Object Identifier". COI is the unique code assigned to articles of Iranian conferences and journals when indexing on the CIVILICA citation database.

The COI is the national code of documents indexed in CIVILICA and is a unique and permanent code. it can always be cited and tracked and assumed as registration confirmation ID.

Support