Cem Tırınk

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Verified

Cem verified their affiliation via an institutional email.

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• PhD
• Professor (Associate) at Iğdır Üniversitesi

The main idea of the current study was to estimate carcass tissue composition using fat thickness and longissimus thoracis (LT) traits real-time ultrasound measurements (USM) in Black Belly ewe lambs through multiresponse multivariate adaptive regression splines (MARS) algorithms. Twenty-four hours before slaughter, subcutaneous (SFT) and kidney-fa...

The aim of this study is to evaluate the model performance in the classification of FAMACHA© scores using Support Vector Machines (SVMs) with a focus on the estimation of the FAMACHA© scoring system used for early diagnosis and treatment management of parasitic infections. FAMACHA© scores are a color-based visual assessment system used to determine...

This study aimed to compare the performance of five growth function models (Brody, Von Bertalanffy, Logistic, Gompertz, and Morgan-Mercer-Flodin) in predicting the growth patterns of Merino crossbred sheep in West Java, Indonesia. The analysis was conducted separately for male and female sheep, and the models were evaluated based on various statist...

This study determined to predict the dry matter intake (DMI) in growing male Pelibuey sheep by using 3 different machine learning methods. Individual data was obtained from 130 animals whose average body weight (ABW) was 23 ± 6 kg and the DMI was 1.04 ± 0.27 kg/d from an experiment conducted under tropical conditions. To create the database, the fo...

Prediction of body weight (BW) using biometric measurements is an important tool especially for animal welfare and automatic phenotyping tools that needs mathematical models. In this study, it was aimed to predict the BW using body length (BL), chest girth (CG) and width of the waist (WW) for rabbits of the maternal form of Hyla NG. The standard ra...

Research Article Cite this article: Vázquez-Martínez I et al. Predicting the body weight of crossbred Holstein × Zebu dairy cows using multivariate adaptive regression splines algorithm. Journal of Dairy Research https://doi. Abstract This study aimed to estimate live body weight from body measurements for Holstein × Zebu dairy cows (n = 156) reare...

The aim of this study was to define the growth by using nonlinear functions in intensive feedlot system with XGBoost algorithm. To achieve this aim, five nonlinear functions were implemented. To implementation of the study, Brown Swiss (n=41) and Simental (n=95) breed were used. Each nonlinear functions were examined for each breed. According to th...

Seasonal variations significantly impact lambs’ birth weight and post-natal growth of lambs, yet the underlying physiological mechanisms remain insufficiently explored. Therefore, this study examined the effects of mating season on lamb birth weight, placental characteristics, maternal concentrations of insulin-like growth factors (IGFs) in plasma,...

Simple Summary Accurately estimating body weight is crucial for managing water buffalo health and optimizing feeding strategies. This study explored the effectiveness of machine learning models in predicting body weight based on body measurements. Principal component analysis was employed to reduce the dimensionality of the data and identify the mo...

Simple Summary The objective of our study was to evaluate the predictive ability of a multi-trait genomic prediction model to estimate heritability and genetic correlations of traits such as 305-day milk yield, milk fat percentage, milk protein percentage, milk lactose percentage, and milk dry matter percentage in the Polish Holstein population. Re...

Determination of live weight, which is one of the most important features that determine meat production, is a very important issue for herd management and sustainable livestock. In this context, the necessity of finding alternative methods has emerged, especially in rural conditions, due to the difficulties to be experienced in finding the weighin...

This study aimed to predict Blackbelly sheep carcass tissue composition using ultrasound measurements and machine learning models. The models evaluated were decision trees, random forests, support vector machines, and multi-layer perceptrons and were used to predict the total carcass bone (TCB), total carcass fat (TCF), and total carcass muscle (TC...

The current study aimed to predict final body weight (weight of fourth months of age to select the future reproducers) by using birth weight, birth type, sex, suckling weight, age at suckling weight, weaning weight, age at weaning weight, and age of final body weight for the Romane sheep breed. For this purpose, classification and regression tree (...

This study aimed to utilize the XGBoost and MARS algorithms to predict present weight from body measurements. The algorithms have the potential to model nonlinear relationships between body measurements and weight, and this study attempted to find a model that provided the most accurate predictions of present weight. The current study was conducted...

Simple Summary This study aimed to estimate body weight from various biometric measurements and features such as genotype (share of Suffolk and Polish Merino genotypes), birth weight (BiW), sex, birth type and body weight at 12 months of age (LBW) and some body measurements such as withers height (WH), sacrum height (SH), chest depth (CD), chest wi...

This paper aims to predict male and female camels’ mature weight (MW) through various morphological traits using hybrid machine learning (ML) algorithms. For this aim, biometrical measurements such as birth weight (BW), length of face (FL), length of the neck (NL), a girth of the heart (HG), body length (BL), withers height (WH), and hind leg lengt...

Gelatin is a natural polymer that can be derived from collagen through hydrolysis. It most extensively used in diverse fields, mainly in pharmaceuticals and therapeutic. Herein Gelatin was newly extracted from camel (Camelus dromedarius) skin and irradiated with gamma rays from 60 Co source. Gelatin was optimized and characterization and functional...

The aim of this study was to determine the best non-linear function describing the growth of the Linda goose breed. To achieve this aim, five non-linear functions, such as exponential, logistic, von Bertalanffy, Brody and Gompertz, were employed to define the live weight-age relationship for male and female Linda geese. In the study, 2 397 body wei...

Simple Summary The present study was performed to estimate body weight (BW) from several body measurements, such as tail length (TL), shoulder height (SH), withers height (WH), body length (BL), chest circumference (CC), shank diameter (SD) and birth weight (BiW). The data set was taken from Muş Province of Türkiye. In this respect, 171 Anatolian b...

The study aimed was to determine the best nonlinear function describing the growth stages of the Japanese quail breed. To this aim, growth functions such as exponential, logistic, von Bertalanffy, Brody, and Gompertz were used as nonlinear functions is used in the description of the body weight-age relationship of male and female Japanese quails. T...

The animal breeding studies rapidly increased over the last century. When the genomic selection tool introduced, scientists and animal breeders have a new area to work with increasing computer power and genomic tolls. In this study, it was aimed to show the situation of last 25 years of the genomic selection studies. Results showed that the number...

Morkaraman sheep breed is a major breed reared in Eastern Anatolia of Turkey. This study was organized to predict birth weight from biometrical measurements such as withers height (WH), rump height (RH), chest circumference (CC) and body length (BL) taken from 44 Morkaraman lambs. For birth weight prediction, the CART data mining algorithm was perf...

Animal production is valuable importance for the human being and countries in terms of both economic and human nutrition. To increase the value of benefits from the livestock sector, there are many attempt to make policies. In this study, 26 different agricultural areas of Turkey according to their agricultural properties were clustered by using ma...

In this study, it was aimed to evaluate the performance of different estimators that will be used in regression analysis, which is one of the multivariate statistical methods in the presence of outliers in the data set. Sixth month live weight was estimated with various body measurements for Saanen kids taken from a private farm. In the data set, t...

A distinctive biological model, the camel, is auspicious livestock in drastic weather conditions. The location of Pakistan is at the hotspot regions where the disasters of environmental changes hit severely. The future hope for food security is a camel particularly for drought-stricken areas of the country, such as Cholistan, Thal, in Punjab, and T...

The aim of this study is to examine the direct, indirect and total effects of nutrient content properties on metabolizable energy contents of natural pasture feeds using path analysis. For this aim, the relationship between metabolizable energy and eight feed nutrient characteristics such as acid detergent lignin (ADL), acid detergent fiber (ADF),...

In this study, it is aimed to compare several data mining and artificial neural network algorithms to predict body weight from biometric measurements for the Th alli sheep breed. For this purpose, the prediction capabilities of Bayesian Regularized Neural Network (BRNN), Support Vector Regression (SVR), Random Forest Regression (RFR) and Multivaria...

The main idea of the study is to determine the trends in recent years in the field of animal science, by examining 379 studies with the term "genome-wide association studies" in the title of the article published within the scope of SCI-Expanded between 2007 and 2021, within the scope of bibliometric analysis. In this context, the term of “Genome-W...

The aim of the present work was to predict live body weight by means of some body measurements, i.e., SH, CG, and BG in indigenous Marecha camel breed. For this purpose, multivariate adaptive regression splines (MARS) algorithm was used at proportions of various training and test sets, i.e., 65:35, 70:30, and 80:20 in V-tenfold cross-validation. In...

Five non-linear functions, i.e. Gompertz, Logistic, Negative exponential, Brody and Bertalanffy, and multivariate adaptive regression splines (MARS) data mining algorithm were implemented with the objective to describe the body weight-age relationship of Harnai sheep of Balochistan, Pakistan. The data comprised of 1317 records of body weight from b...

Thalli sheep is a significant breed reared under tropical region of Punjab province of Pakistan. The present study was conducted to predict live body weight (LBW) by means of from some body measurements, i.e., chest girth (CG), belly girth (BG), rump height (RH), withers height (WH), neck girth (NG), and body length (BL) taken from 155 Thalli indig...

Mature weight is a significant trait that can be influenced by age, sex, breed, production system, and climate conditions in camels. In camel breeding, it is essential to describe breed standards of the studied camel breeds as part of morphological characterization and to determine morphological traits positively influencing mature weight within th...

In this study, it was aimed to compare the performance of proposed estimators in the presence of multicollinearity that will be used in regression analysis as an alternative to Least Squares. Birth weight was estimated by using placental features such as sex, placental efficiency, total cotyledon numbers, large cotyledon weight, medium cotyledon we...

Multivariate Adaptive Regression Splines (MARS) algorithm, as a modified form of classification and regression tree (CART) algorithm, is a nonparametric regression technique that aids to describe linear, nonlinear and interaction effects between sets of dependent and independent variables for classification and regression type solutions. An alterna...

Least square (LS) method is a common method used to estimate the coefficients in multiple regression models. The least square multiple regression models produce biased regression coefficients when the multicollinearity is encountered in the studied data sets. Multicollinearity problem can be solved by using some methods. As one of the methods, Ridg...

Honey bees are exposed to many damaging pathogens and parasites. Hygiene is a behavioral trait of honey bees (Apis mellifera) conferring economically useful and heritable resistance to damaging pathogens and parasites. For selection on hygienic behavior this study, it was aimed to determine the effect of selection on hygienic behavior in honey bees...

In this study, it is aimed to compare the reliability of the Least Squares Method (LS), Ridge and Liu Estimator for the data has non-normal distribution, multicollinearity. For this aim, we taken into consideration a data set which consist of body weight and body measurements taken from Saanen kids for 6 months, where body weights are estimated fro...

The aim of the study evaluates to the situation of milk production in dairy cattle for 18 cities in Black Sea Region. For this aim, 18 cities have been compared and classified about milk production. Data is including numbers of dairy cattle, milking dairy cattle and dairy cattle milk production for Black Sea Region. The data were obtained from Turk...

In this study, an attempt was made at predicting the values of selected reproductive parameters in Harnai sheep using different data mining algorithms (artificial neural networks-ANN, classification and regression trees-CART, chi-square automatic interaction detector-CHAID and multivariate adaptive regression splines-MARS) and indicating the most i...

R Programlama dili kullanarak giriş seviyesi istatistiksel problemlerin çözülmesi

The aim of this study was to determine the effect of some factors (sex, birth type, farm type, birth weight and weighting time) on weaning weight through CART and CHAID data mining algorithms. The classification and regression trees are modern analytic techniques that construct tree-based data-mining algorithms. Regression trees are used for the pu...

In this study, canonical correlation analysis (CCA) was applied to estimate the relationships between two sets (X-Y, water holding capacity (WHC) and pH-lightness (L *), redness (a *), yellowness (b *) values, respectively). Canonical correlation analysis was applied to data obtained from thigh and breast meats of 30 male Ross 308 broilers. Two can...

This study was conducted to determine the barn, nutrition and milking characteristics of enterprises raising water buffalo in Bafra. For this purpose, 45 enterprises were selected by using random sampling method. Data were obtained from survey which was made face to face with owners in their enterprises. Based on the data, indoor and semi-open barn...

In this study, two prediction models were developed for estimation of meat quality in broilers with ordinal regression and fuzzy logic methods. The material of the study consists of data from a research conducted at Gaziosmanpasa University Rotary Capital Management Poultry Farm Chicken Unit. pH, cooked loss and L * parameters of the product qualit...

Within the framework of general linear model, there is lack of information on comparatively examining data mining algorithms viz. CART, CHAID, C5.0, Exhaustive CHAID, MLP, RBF and particularly MARS, which derives a convenient prediction equation. All of the algorithms can be more informative than a classical method like multiple linear regressions...

It is known that smaller generalized cross validation (GCV) is better within the scope of the predictive model constructed by means of MARS algorithm, which is also recognized as a non-parametric regression analysis technique. In literature, there is no information about what an upper bound of GCV is in obtaining good fit for the MARS predictive mo...

The aim of the present work was to develop a prediction equation for predicting body weight (kg) of Mengali rams through Multivariate Adaptive Regression Splines (MARS) as a non-parametric regression technique that converts non-linear relationship structures into linear structures in reducing prediction error. In the explanation of the variability...

In animal science, sequential variation on quantitative traits during a certain time period should be precisely identified for regulating managerial conditions in animal experimental data. This study was conducted in order to investigate the effect of including some covariates on performance of covariance structures, fixed and random effects on the...

In animal science, sequential variation on quantitative traits during a certain time period should be precisely identified for regulating managerial conditions in animal experimental data. This study was conducted in order to investigate the effect of including some covariates on performance of covariance structures, fixed and random effects on the...

The goal of the current investigation was to predict the fleece weight from some physical wool characteristics of Akkaraman (47 heads) and Awassi ewes (108 heads) by using CHAID algorithm to obtain more flexible prediction through tree-based decision. All of the ewes were 2 years of age. The wool characteristics evaluated for the study were fleece...

The present investigation deals with comparing performance of different data mining algorithms viz., CHAID, EXHAUSTIVE CHAID, CART and ANN, in order to predict body weight from biometrical characteristics for a total of 161 Harnai lambs changing in age between 6-9 months. Minimum numbers of lambs in parent and child nodes were set 20:10 for first t...

Abstract.- The present investigation deals with comparing performance of different data mining algorithms viz., CHAID, EXHAUSTIVE CHAID, CART and ANN, in order to predict body weight from biometrical characteristics for a total of 161 Harnai lambs changing in age between 6-9 months. Minimum numbers of lambs in parent and child nodes were set 20:10...

Comparison statistics (ANOVA, Kruskal-Wallis etc.) can indicate whether there are differences among more than two groups, but they can’t indicate the source of the differences. Multiple comparison methods are statistical methods to examine the differences among three or more groups. In this study it was aimed to compare Dunnett and permutation test...