Effect of an algae feed additive on reducing enteric methane emissions from cattle.

IF 1.3 Q3 AGRICULTURE, DAIRY & ANIMAL SCIENCE
Translational Animal Science Pub Date : 2024-08-01 eCollection Date: 2024-01-01 DOI:10.1093/tas/txae109
Reba L Colin, Jessica L Sperber, Kassidy K Buse, Paul J Kononoff, Andrea K Watson, Galen E Erickson
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Abstract

Alga 1.0, a product containing bromoform, was fed to cattle to evaluate its effects on methane (CH 4 ) and carbon dioxide (CO 2 ) emissions and diet digestibility. Twelve nonlactating, nonpregnant Jersey cows (490 ± 19 kg body weight) were used in four replicated 3 × 3 Latin squares with three periods, each consisting of 21 d. Cows were blocked by feed intake (averaged intakes over 4 wk prior to trial) and assigned randomly to one of three treatments. Treatments included Alga 1.0 fed at 0, 69, and 103 g/d in a 0.454 kg/d dry matter (DM) top-dress daily in a modified distillers grains plus solubles (MDGS) carrier. Diet consisted of 60% dry-rolled corn, 20% corn silage, 15% modified distillers grains, and 5% supplement (DM basis). Headbox-style indirect calorimeters were utilized to evaluate gas production from individual cows with two nonconsecutive 23-h collections in each period. Data were analyzed using the GLIMMIX procedure of SAS with cow within square as experimental unit and as a random effect, and treatment and period as fixed effects. Linear and quadratic contrasts were used to compare treatments. Feeding Alga 1.0 linearly reduced dry matter intake (DMI, P < 0.01) by 10.1% for 69 g/d inclusion and 13.3% for 103 g/d inclusion compared to the control. Nutrient intakes decreased linearly (P < 0.01) due to lower DMI, but nutrient digestibility was not impacted (P ≥ 0.28). Inclusion of Alga 1.0 did not impact gross energy or digestible energy concentration of the diets expressed as Mcal/kg DM (P ≥ 0.22) but did linearly reduce energy intake (Mcal/d; P < 0.01). Feeding Alga 1.0 linearly reduced enteric CH4 emissions measured as g/kg DMI (P < 0.01) by 39 and 64% for 69 g/d and 103 g/d inclusion, respectively. Linear reductions (P < 0.01) of 64% to 65% were also observed in enteric CH4 emissions when expressed per kilogram of DM or organic matter digested. Respired CO2 as g/d linearly decreased (P = 0.03) for cattle fed Alga 1.0 but did not differ when expressed as g/kg of DMI (P ≥ 0.23). Oxygen consumption did not differ between treatments for g/d and g/kg DMI (P ≥ 0.19). In conclusion, feeding Alga 1.0 reduced DMI up to 13.3%, did not impact digestibility, and significantly reduced CH4 emissions up to 63%.

藻类饲料添加剂对减少牛的肠道甲烷排放的影响。
用含溴甲烷的产品 Alga 1.0 喂牛,以评估其对甲烷(CH 4 )和二氧化碳(CO 2 )排放以及日粮消化率的影响。12 头未哺乳、未怀孕的泽西奶牛(体重为 490 ± 19 千克)被用于 4 个重复的 3 × 3 拉丁方阵中,每个方阵有 3 个时期,每个时期为 21 天。奶牛根据采食量(试验前 4 周的平均采食量)进行分群,并随机分配到三种处理中的一种。处理包括 Alga 1.0,以 0、69 和 103 g/d 的干物质(DM)添加量每天 0.454 kg,以改良蒸馏谷物加溶质(MDGS)为载体。日粮包括 60% 的干轧玉米、20% 的玉米青贮、15% 的改良蒸馏谷物和 5% 的补充物(DM 基)。使用头箱式间接热量计评估每头奶牛的产气量,每个阶段收集两次不连续的 23 小时数据。使用 SAS 的 GLIMMIX 程序对数据进行分析,将方格内的奶牛作为实验单位和随机效应,将处理和时期作为固定效应。采用线性和二次对比来比较处理。饲喂 Alga 1.0 可线性降低干物质摄入量(DMI,P P P ≥ 0.28)。添加 Alga 1.0 不会影响日粮中以 Mcal/kg DM 表示的总能或可消化能浓度(P ≥ 0.22),但会线性降低能量摄入量(Mcal/d;P 4 排放量以 g/kg DMI 表示)(P 4 排放量以每公斤 DM 或消化的有机物表示。饲喂 Alga 1.0 的牛的二氧化碳释放量(克/天)呈线性下降(P = 0.03),但以克/千克 DMI 表示则无差异(P ≥ 0.23)。以克/日和克/千克 DMI 计算,不同处理间的耗氧量没有差异(P ≥ 0.19)。总之,饲喂 Alga 1.0 可使 DMI 降低 13.3%,不影响消化率,并可显著减少 63% 的甲烷排放量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Translational Animal Science
Translational Animal Science Veterinary-Veterinary (all)
CiteScore
2.80
自引率
15.40%
发文量
149
审稿时长
8 weeks
期刊介绍: Translational Animal Science (TAS) is the first open access-open review animal science journal, encompassing a broad scope of research topics in animal science. TAS focuses on translating basic science to innovation, and validation of these innovations by various segments of the allied animal industry. Readers of TAS will typically represent education, industry, and government, including research, teaching, administration, extension, management, quality assurance, product development, and technical services. Those interested in TAS typically include animal breeders, economists, embryologists, engineers, food scientists, geneticists, microbiologists, nutritionists, veterinarians, physiologists, processors, public health professionals, and others with an interest in animal production and applied aspects of animal sciences.
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