Increasing farm size is an effective way to decrease the carbon footprint in dairy cattle production.

The purpose of this study was to investigate the effects of the farm size on the carbon footprint of dairy cattle farms in Isparta province in Türkiye. For this purpose, face-to-face interviews were conducted with 159 farms which represent 1866 dairy cattle farms in Isparta province. The number of animals on the farm was converted into animal unit (AU) and the farms were divided into three groups. Accordingly, farms were classified as small, medium, and large farms. The carbon footprint produced per AU in the farm was the sum of feed, enteric fermentation, CH4 from manure, CO2 from manure, N2O from manure, and anthropogenic emissions. The milk produced in the farms was standardized according to 4% fat and 3.3% protein (FPCM) and the ratio of meat to milk was found by dividing the total live weight gain produced except for cows by FPCM. Accordingly, 65% of the greenhouse gas emissions of dairy farms were allocated to milk and 35% to meat. Of the total emissions, enteric fermentation and emission on feed contributed the highest proportion. Results showed that when using the IPCC (2021) global warming potential (GWP) values, the carbon footprint for 1 kg of FPCM milk was 1.26 kg CO2-eq on average, whereas the carbon footprint for 1 kg of meat was 11.78 kg CO2-eq on average. Results showed that as farm size increased carbon footprint for a kilogram of FPCM and meat decreased and this showed the effectiveness of farm size on decreasing carbon footprint per unit of product.

Determination of climatologically suitable places in Türkiye for feedlot cattle production using the Comprehensive Climate Index model.

The purpose of this study was to determine climatologically suitable places to raise feedlot cattle in Türkiye. The Comprehensive Climate Index (CCI), a model that enables one to quantify beef cattle performance based on environmental conditions (temperature, relative humidity, wind speed, solar radiation) at any time in the year, was used to predict dry matter intake (DMI), average daily gain (ADG), and feed efficiency (FE) of feedlot cattle. Thirty years of daily average temperature, relative humidity, and wind speed values were obtained for 15 cities, namely, Antalya, Balikesir, Çorum, Diyarbakir, Edirne, Elazig, Erzincan, Erzurum, Eskisehir, Isparta, Izmir, Kayseri, Konya, Sivas, and Van. Measured daily solar radiation values were not available and values were calculated based on a formula that takes hemisphere, latitude, and day of the year into account. Since mostly dairy breed calves are placed into a feedlot in Türkiye, the Holstein option in the CCI model was chosen to calculate the maintenance energy requirement. Based on previous feedlot feeding studies conducted in Türkiye, it was assumed that calves would be placed on feed at 250 kg and be marketed at 520 kg, that the diet would have 2600 kcal/kg metabolic energy, and that DMI would be 2.31% of the body weight. Results indicate that cattle raised in Antalya (the hottest place) and Erzurum (the coldest place) had the lowest and highest DMI, respectively (P<0.05). Summer months depressed the DMI of cattle in hotter cities and winter months increased the DMI of cattle in colder cities (P<0.05). Feedlot cattle raised in hotter and colder regions of Türkiye had lower ADG than other places having a more temperate climate (P<0.05). In general, cattle raised in a hotter climate had better FE than those raised in a cold climate (P<0.05).

Effects of adding rumen-protected palm oil in diet on milk fatty acid profile and lipid health indices in Kivircik ewes.

This study aimed to determine the effect of the addition of rumen-protected palm oil making up 3% of the ration on lipid health indices and milk fatty acid composition of Kivircik ewes'. Kivircik ewes at two years of age, the same parity, lactation stage, and the same bodyweight (52.57 ± 5.80 kg) were chosen for this purpose. Two groups were formed, in which the control group was fed a basal diet without feed supplementation, whereas the treatment group received rumen-protected palm oil which corresponded to 3% of the ration. In order to protect palm oil, it was coated with calcium salts. Treatment increased the palmitic acid (C16:0) content of milk compared to the control group (P < 0.05) and tended to increase saturated fatty acids (SFA) and monounsaturated fatty acids (MUFA) (P = 0.14). An increase in SFA and MUFA was attributed to an increase in palmitic acid and oleic acid (C18:1), respectively (P < 0.05). Results indicated that the omega-6/omega-3 ratio (n-6/n-3) ranged between 0.61 and 2.63. The inclusion of palm oil in the diet tended to increase desirable fatty acids (DFAs) regardless of the week of milk sampled (P = 0.42). Treatment did not improve the atherogenicity index (AI), thrombogenicity index (TI), health-promoting index (HPI), and hypocholesterolemic/hypercholesterolemic (h/H) ratio. Results showed that adding rumen-protected palm oil is a plausible method to meet the energy intake of ewes required during lactation without negatively affecting lipid health indices.

The cost and profitability analysis of different dairy farm sizes.

Dairy cattle production is a substantial industry in Türkiye's livestock sector, with a significant economic impact. Because of its proximity to Türkiye's major market zone, the Mediterranean and Aegean regions, the province of Isparta can develop its milk production capacity and make investments in dairy production. Therefore, the purpose of this study was to look into production costs and drivers of profitability for dairy farms of various sizes in Isparta, a major milk-producing region in Türkiye. The study included data from 159 dairy cattle farms operating in the production period 2020-2021 in the designated area. Dairy farms were separated into three groups based on size and analysed consequently. The findings revealed that total feed consumption was higher on small-scale farms, while milk production was lower. Feed costs were the highest portion of the total production cost among the cost items (72.86%), followed by permanent labour costs (7.12%). Furthermore, milk sales income (64.39%) was the largest contributor to the average income in terms of the gross product value. Aside from milk production, it was discovered that cattle value appreciation (24.12%) increased farm income. Consequently, as farm size increased, production costs per animal unit fell while net profit rose. Finally, feed is the most significant input that boosts milk production costs. Also, larger farms were found to be more profitable in the study area. Thus, it was concluded that policies that could have a favourable effect on an increase in the cattle population on the farm should be advanced in the study area.