استفاده از مدل ریاضی بردار پشتیبان غیرخطی برای ارزیابی عملکرد رشد، شاخص‌های بیوشیمیایی خون و ایمنی جوجه‌های گوشتی تغذیه‌شده با پودر میوه کور (Capparis spinosa L.) و مقایسه آن با مدل خطی درجه سوم

نوع مقاله : مقاله پژوهشی

نویسندگان

زهره سیدی ¹

سیدجواد حسینی واشان ¹

محمد قاسم اکبری ²

¹ گروه علوم دامی، دانشکده کشاورزی، دانشگاه بیرجند، بیرجند، ایران

² گروه آمار دانشکده علوم ریاضی و آمار، دانشگاه بیرجند، بیرجند، ایران

10.22067/ijasr.2025.91876.1234

چکیده

این آزمایش به‌منظور بررسی اثر مصرف سطوح پودر میوه کور (.Capparis spinosa L) بر عملکرد رشد، لاشه و شاخص‌های بیوشیمیایی خون جوجه‌های گوشتی برارزش‌شده توسط مدل رگرسیون بردار پشتیبان غیرخطی و مدل خطی درجه سوم انجام گرفت. در این پژوهش از 300 قطعه جوجه گوشتی راس 308 یک‌روزه با شش تیمار آزمایشی شامل سطوح مختلف 0، 3، 6، 9، 12 و 15 درصد پودر میوه کور در پنج تکرار (هر تکرار شامل 10 قطعه جوجه) در قالب طرح کاملاً تصادفی استفاده شد. در طول دوره پرورش، جوجه‌ها به آب و خوراک دسترسی آزاد داشتند. صفات عملکرد رشد، لاشه و شاخص­های بیوشیمیایی خون با مدل رگرسیون بردار پشتیبان غیرخطی (SVR) و مدل خطی درجه سوم برازش شدند. نتایج نشان داد که بیشترین مصرف خوراک جوجه‌های گوشتی مرتبط با دوره‌های رشد، پایانی و کل دوره در سطح شش درصد و در دوره آغازین در سطح نُه درصد پودر میوه کور بود. وزن بدن جوجه‌های گوشتی در دوره آغازین و رشد روند کاهشی داشت. در دوره آغازین و کل دوره پرورش به‌ترتیب تا سطوح شش و سه درصد پودر میوه کور افزایشی و بعد از آن کاهشی گردید. افزایش وزن بدن جوجه‌های گوشتی در دوره‌های آغازین در سطح شش و در دوره‌های رشد و پایانی در سطح سه درصد پودر میوه کور مشاهده شد. ضریب تبدیل خوراک در دوره‌های پایانی و کل دوره جوجه‌های گوشتی تغذیه‌شده با پودر میوه کور در سطوح سه و نُه درصد کمترین بودند. بالاترین مقدار ضریب تعیین در اجزاء لاشه جوجه‌های گوشتی بین دو مدل رگرسیون بردار پشتیبان غیرخطی و مدل درجه سوم خطی مرتبط به متغیر سینه (R²= 0.94%) مدل رگرسیون بردار پشتیبان بود. در شاخص‌های بیوشیمیایی خون جوجه‌های گوشتی بالاترین ضریب تعیین بین دو مدل، مربوط به متغیرهای کلسترول و LDL با R²= 0.98% به دست آمد. نتایج مقایسه شاخص‌های نکوئی مدل‌ها نشان داد که مدل رگرسیون بردار پشتیبان غیرخطی با داشتن ضریب تعیین بالاتر، میانگین مربعات خطا و مجموع مربعات مدل رگرسیون بردار پشتیبان غیرخطی کمتر در مقایسه با مدل خطی درجه سوم برآورد بهتری از عملکرد رشد، درصد لاشه و شاخص‌های بیوشیمیایی خون جوجه‌های گوشتی دارد. از طرفی، نتایج این تحقیق حاکی از این بود که مدل رگرسیون بردار پشتیبان غیرخطی در کل دوره پرورش برای عملکرد، لاشه و شاخص‌های بیوشیمیایی خون با دقت بیشتری در مقایسه با مدل خطی درجه سوم ارائه کرد.

کلیدواژه‌ها

کلسترول

کیفیت لاشه

گلوکز

ضریب تبدیل خوراک

مدل رگرسیونی

موضوعات

• تغذیه طیور

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عنوان مقاله English

Comparison Two Models of Nonlinear Support Vector Mathematical and Cubic Linear Model to Evaluate the Growth Performance, Blood Biochemical Indexes, and Immunity of Broilers Fed with Capparis spinosa L. Fruit Powder

نویسندگان English

Zohreh Seyedi ¹

Seyyed javad Hosseini-vashan ¹

Mohammad Ghasem Akbary ²

¹ Department of Animal Science, College of Agriculture, University of Birjand, Birjand, Iran

² Department of Statistic, College of Mathematic and Statistic, University of Birjand, Birjand, Iran

چکیده English

Introduction:  The widespread use of growth-promoting antibiotic compounds (antibiotics) in the past two decades has caused antibiotic resistance in different bacterial strains in poultry and humans, resulting in reduced response rates to group. Non‑antibiotic compounds such as organic acids, enzymes, and phytobiotics are considered effective alternatives to antibiotics. Phytobiotics are incorporated into livestock diets to enhance growth and reproductive performance by improving nutrient utilization and thereby increasing the quality of animal‑derived product. Capparis Spinosa L. is a drought-resistant plant from the Capparis genus of the Capparidaceae family. Flower buds, roots, fresh leaves, and mature fruits are used for medicinal purposes. Dietary inclusion of dried leaf powder of Capparis Spinosa L. at a level of 15 g/kg in the diet without any adverse effects on performance in laying hens. Predicting broiler performance using mathematical growth models and resulting curves is essential in breeding fast-growing broiler chickens. The purpose of this study was to compare two statistical models: nonlinear support vector regression and cubic linear regression model in evaluating growth performance, carcass traits, and blood biochemical indices of broiler chickens fed diets containing different levels of Capparis Spinosa L. fruit powder.
 
Materials and Methods:  In this study, 300 one-day-old Ross broiler chicks (Ross 308) were used with six experimental groups including different levels of 0, 3, 6, 9, 12, and 15% Capparis Spinosa L. fruit powder in five replications (each replication consisted of 10 chicks) in a completely randomized design. During the rearing period, the chicks had ad libitum access to feed and water. Body weight of the chicks and feed residues were recorded at the starter, grower, and finisher periods. Then the average daily weight gain, daily feed consumption, and feed conversion ratio were calculated. Two birds from each replicate were weighed and slaughtered on day 42 for carcass traits evaluation. The yield and ratio of carcass components to live weight were calculated. Blood biochemical parameters (glucose, cholesterol, and triglycerides) were determined using a spectrophotometric autoanalyzer (Biosystem 15A autoanalyzer, Biosystem Company) and commercial biochemical kits (Zistchemi Co., Iran). The growth performance, carcass traits, and blood biochemical indices were fitted with a nonlinear support vector regression (SVR) model and linear cubic regression. The coefficient of determination (R²) and mean square error (MSE) were used to select the most appropriate model.
 
Results and Discussion: The results showed that with increasing levels of Capparis Spinosa L. fruit powder, no significant changes were observed in growth performance, carcass traits and blood biochemical parameters of broiler chickens. Feed intake was highest during the grower, finisher, and total periods in broilers fed diets containing 6% Capparis spinosa L. fruit powder, whereas during the starter period, the highest feed intake was observed at the 9% inclusion level. The body weight of broilers decreased during the initial and growth periods. During the starter and overall growth periods, body weight increased up to inclusion levels of 6% and 3% Capparis spinosa L. fruit powder, respectively, and then declined at higher inclusion rates. The weight gain of broilers was observed in the early periods at a level of 6 and in the growth and final periods at 3% Capparis Spinosa L. fruit powder. Feed conversion ratio in the final period and total broilers fed diets containing Capparis Spinosa L. fruit powder at levels of 3 and 9% had the lowest feed conversion ratio. Among carcass components, the highest coefficient of determination was observed for breast yield using the nonlinear support vector regression (SVR) model (R² = 0.94). In biochemical indices of broiler chicken blood, the highest coefficient of determination between the two studied models related to cholesterol and LDL variables was obtained with (R²= 0.98). The results of comparing the goodness-of-fit indices of the models showed that the nonlinear support vector regression model, with a higher coefficient of determination, lower mean square error, and lower sum of squares of the nonlinear support vector regression model, had a better estimate of growth performance, carcass percentage, and blood biochemical indices of broiler chickens compared to the cubic linear model. In a study, linear and nonlinear models (Gompertz, three-parameter logistic, and Richards) were compared to describe the growth patterns of broiler chickens, and it was reported that the Richards model had higher efficiency in predicting and fitting the growth performance of broiler chickens. Stated that machine learning (SVR) models effectively predict carcass characteristics based on body weight measurements. Using a regression model to predict breast muscle relative weight and abdominal fat is non-destructive and inexpensive, so this method has the potential for generalization.
 
Conclusion: The results of the present study indicate that nonlinear support vector regression models are effective approaches for predicting growth performance, carcass traits , and blood biochemical parameters of broiler chickens.

کلیدواژه‌ها English

Carcass quality

Cholesterol

Feed conversion ratio

Glucose

Regression model

Authors retain the copyright. This is an open access article distributed under Creative Commons Attribution 4.0 International License (CC BY 4.0)

سپاسگزاری

این تحقیق  با عنوان " استفاده از مدل ریاضی بردار پشتیبان غیرخطی برای ارزیابی عملکرد رشد، شاخص‌های بیوشیمیایی خون و ایمنی جوجه‌های گوشتی تغذیه‌شده با پودر میوه کور (Capparis spinosa L.) و مقایسه آن با مدل خطی درجه سوم"در قالب طرح پژوهشی به شماره ابلاغیه 3118/د/1404 مورخ 17/02/1404 با استفاده از اعتبارات دانشگاه بیرجند انجام شده است و  بدینوسیله تشکر و قدردانی می شود.

 

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