Crossbreed Colorful German Noble Goat x Hair Goat (75%Colorful German Noble Goat and 25% Hair Goat), which were included in the synchronization and mating program, received fish oil as an omega-3 fatty acids source (Table 1) in their rations at different periods of pregnancy from mating to birth (Includes two periods containing: first half of pregnancy: period between mating and 75th day of pregnancy, second half of pregnancy: 76th day of pregnancy and between kidding). Achieved newborn male kids were distributed into four groups as the groupwhich received protected fat (PF) throughout gestation (PF - PF), the group that receivedprotected fat in the first half of the gestation - fish oil (FO) in the second half of the gestation (PF - FO), the group that received fish oilthroughout gestation (FO – FO) and the group that received fish oil in the first half of gestation – protected fat in the second half of the gestation (FO – PF).
The animal material consisted of 47 male kids aged 84.6 ± 2.44 days (mean ± standard deviation) having 14.5 ± 3.09 kg body weight.From 57 goats with an average body weight of 50.8 kg, male kids were obtained.This study, which investigated the effects of feeding the dams with diet containing omega-3 fatty acid at different periods of gestation, on the fattening performance, serum biochemical parameters and carcass characteristics of male kids, lasted for 56 days.
Forty-seven male goat kids (84.6 ± 2.44 days or bearth; 14.5 ± 3.09 kg body weight) were placed in pens (6 m x 12 m; width x length) according to the groups formed by maternal nutrition (PF – PF, PF – FO, FO – FO and FO – PF). Within these pens, 3 subgroups consisting of 3-5 kids in each were formed.TMRs (Total Mixed Ration) consisting of concentrate feed and dried alfalfa hay were used in the fattening of male kids.In the total mixed ration, the ratio of concentrate feed: roughage was arranged as 85: 15. The ingredients and nutrient composition of the concentrate feed and TMR used in the experiment are given in Tables 2 and 3, respectively.The water requirement of the kids was met ad libitum with the help of plastic buckets fixed to the compartments.
Determination of Live Weight and Live Weight Changes
Fattening male kids were individually weighed weekly before morning feeding. Live weight gain of animals were calculated by subtracting the previous weight from the last weighing and dividing the obtained value by the number of the elapsed days.
Individual blood samples were taken from the vena jugularis with serum tubes containing gel (9 ml, Ayset, Turkey) before morning feeding at the beginning (day 1), middle (day 28) and end (day 56) of the fattening period.The collected blood samples were transported to the Department of Feeds and Animal Nutrition Laboratory rapidity, where they were centrifuged at 4°C and 4000 rpm for 15 minutes (Universal 320R, Hettich, Germany), and the obtained sera were transferred into 1.5 ml Eppendorf tubes with the protocol number, and they were stored at -20°C until analyses. Aspartate aminotransferase (AST), alanine aminotransferase (ALT), gamma-glutamyl transferase (GGT) and alkaline phosphatase (ALP) activities, albumin, total protein, total cholesterol, glucose, triglycerides, magnesium, calcium concentrations in sera were detected on a biochemistry analyzer (BS-120 Vet, Mindray, China) with the commercially available kits provided by the manufacturer of the analyzer.Globulin level was calculated by subtracting albumin value from total protein value.
Collection of Data Related to Carcass and Meat Quality
At the end of the fattening period, 5 kids from each treatment group having live weight close to mean live weight were slaughtered in a private slaughterhouse.After slaughter, slaughter weight, skin, heart + lung (set), liver and hot carcass weights were recorded. The carcasses were stored at +4°C for 24 hours in a cold storage room. At the end of this period, cold carcass, fat around kidneys, cervical (neck), thigh, shoulder head, arm, lumbar (waist) and flank weights were determined (Darcan et al, 2006; Atay et al, 2007).
Color, pH, texture and fatty acid analyses were performed on 15 gr muscle samples taken from the Longissimus dorsi muscle at 1 hour after slaughter. In color analysis, L*, a*, b* values were determined by using Konika Minolta CM-5 instrument according to the method indicated by Calder (2003).
Texture analysis in the meat ofkid was performed using the TA-XT2 plus model (Stable Micro Systems, Godalming, UK) texture analyzer according to the method of Bourne (1978).Warner-Bratzler probe was used for shear force, hardness and adhesivenessparameters were determined using P/50 cylindricalprobe using 50kg load cell. Measurements were made using an immersion depth of 60% of the original height at a speed of 20 cm/min and an initial sensing force of 10 g.The samples used in the analysis were taken using a sampling apparatus with a certain diameter, and 6 replications were applied. At the end of testing, the values of hardness and external adhesiveness of tissue were determined.
Analysis of Fatty Acid Profile in Meats
Crude fat content and fatty acid profile were determined in meat samples taken from M. Longissimus dorsi of kids slaughtered at the end of the fattening period.Fat analysis in the samples was carried out according to the method applied by Bligh and Dyer (1959). The fatratio was calculated with the following formula:
Amount of fat (%)= {[final weighing (g) - first weighing (g)] x 100}: Amount of sample (g)
Fatty acid methyl esters (FAME) from extracted fatweredetermined according to the method indicated by Ichihara et al. (1996).
Fatty acid analysis was performed on GC Clarous 500 instrument (Perkin–Elmer, USA) using a flame ionization detector and an acid silicide salt tube SGE (30 m x 0.32 mm ID x 0.25 lm BP20 0.25 UM, USA).
Nutrient Analysis of the Feeds Used in the Experiment
Samples were taken from the roughage and mixed feed used in the trials, and dry matter, crude protein, crude oil and crude ash analyses were performed according to AOAC (1998). Neutral detergent fiber (NDF) and acid detergent fiber (ADF) analyses were carried out with filter bag technique on fiber analyzer (Ankom200 Fiber Analyzer, ANKOM Technology Corp., NY) using temperature resistant α-amylase and sodium sulfite as indicated by Vansoest et al. (1991).
Statistical Analysis
The SAS package program (SAS Institute Inc. 2014) was used in the statistical analysis of the collected data.The normal distribution tests for the data were performed with the Shapiro-Wilk test using the UNIVARIATE procedure, and the GLIMMIX (Stroup et al. 2018) procedure was used in the analysis. Statistical analyses were based on repeated measurement data analysis, and Combined Symmetry (CS), Heterogeneous Combined Symmetry (CSH), First Order Autoregressive (AR(1)), First Order Autoregressive with Heterogeneous Variance Structures [ARH(1)], Unstructured, First Order Ante dependence[ANTE(1)], Distance Exponent [SP(POW)] and Moving Average First Order Autoregressive [ARMA (1, 1)] were used as covariance structure (Çetin, 2009; Çetin and Bek, 2019).The smallest Akaike information criterion (AIC) was used to select the most appropriate covariance structure for the data.In the selection of this criterion, it was aimed to have the lowest Type 1 error.
In the statistical models, the maternal nutrition (rations provided to the goats during pregnancy: PF - PF, PF - FO, FO - FO and FO - PF), time (day, week or month) and maternal nutrition x time interaction were found to be fixed effects.In examination of fattening performance of male kids, initial live weight was assigned to the statistical model in the analysis of performance data, and slaughter weight was assigned to the statistical model in the analysis of carcass and fatty acid profile.
In all statistical analyzes, it was accepted as significant if the p value was less than ≤0.05, and as an increasing or decreasing trend if the p value was 0.05 < P ≤ 0.10. The least squares mean and the pooled standard errors calculated for these means are used in the tables.Pooled standard errors were calculated by multiplying the n of each group with the standard error of that group, then finding the grand total and then dividing this value by the total number of n.Tukey's multiple comparison test was used to compare the means in cases where the p value was ≤0.05.