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Accuracy of methane emissions predicted from milk mid-infrared spectra and measured by laser methane detectors in Brown Swiss dairy cows

机译:从牛奶中红外光谱预测的甲烷排放的准确性,并通过棕色瑞士奶牛的激光甲烷探测器测量

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摘要

Since heritability of CH_4 emissions in ruminantswas demonstrated, various attempts to generate largeindividual animal CH_4 data sets have been initiated.Predicting individual CH_4 emissions based on equationsusing milk mid-infrared (MIR) spectra is currentlyconsidered promising as a low-cost proxy. However,the CH_4 emission predicted by MIR in individuals stillhas to be confirmed by measurements. In addition, itremains unclear how low CH_4 emitting cows differ in intake,digestion, and efficiency from high CH_4 emitters.In the current study, putatively low and putatively highCH_4 emitting Brown Swiss cows were selected from theentire Swiss herdbook population (176,611 cows), usingan MIR-based prediction equation. Eventually, 15 lowand 15 high CH_4 emitters from 29 different farms werechosen for a respiration chamber (RC) experiment inwhich all cows were fed the same forage-based diet.Several traits related to intake, digestion, and efficiencywere quantified over 8 d, and CH_4 emission was measuredin 4 open circuit RC. Daily CH_4 emissions werealso estimated using data from 2 laser CH_4 detectors(LMD). The MIR-predicted CH_4 production (g/d) wasquite constant in low and high emission categories, inindividuals across sites (home farm, experimental station),and within equations (first available and refinedversions). The variation of the MIR-predicted valueswas substantially lower using the refined equation.However, the predicted low and high emitting cows (n= 28) did not differ on average in daily CH_4 emissionsmeasured either with RC or estimated using LMD,and no correlation was found between CH_4 predictions(MIR) and CH_4 emissions measured in RC. When individualswere recategorized based on CH_4 yield measuredin RC, differences between categories of 10 lowand 10 high CH_4 emitters were about 20%. Low CH_4emitting cows had a higher feed intake, milk yield, andresidual feed intake, but they differed only weakly ineating pattern and digesta mean retention times. LowCH_4 emitters were characterized by lower acetate andhigher propionate proportions of total ruminal volatilefatty acids. We concluded that the current MIR-basedCH_4 predictions are not accurate enough to be implementedin breeding programs for cows fed forage-baseddiets. In addition, low CH_4 emitting cows have to becharacterized in more detail using mechanistic studiesto clarify in more detail the properties that explain thefunctional differences found in comparison with othercows.
机译:由于反刍动物的CH_4排放的遗传被证明,各种各样的尝试产生大已启动单个动物CH_4数据集。基于方程预测单个CH_4排放使用牛奶中红外线(MIR)目前是被认为是有希望的低成本代理。然而,MIR在个人中预测的CH_4排放仍然存在必须通过测量来确认。另外,它仍然不清楚CH_4发射奶牛的摄入量不同,从高CH_4发射器的消化和效率。在目前的研究中,令人低廉且稳定的从棕色瑞士奶牛中选择了CH_4整个瑞士赫德书口(176,611奶牛),使用基于MIR的预测方程。最终,15个低来自29个不同农场的15个高CH_4发射器是选择呼吸室(RC)实验所有奶牛都喂养了相同的饲料饮食。几个与摄入,消化和效率相关的特征在8 d中量化,测量CH_4排放在4个开路RC中。每日CH_4排放量还使用来自2个激光CH_4探测器的数据估计(LMD)。 MIR预测的CH_4生产(G / D)是在低排放类别中相当不变,跨地网站(家​​庭农场,实验站),在方程中(首先可用和精致版本)。 miR预测值的变化使用精制方程基本上较低。但是,预测的低和高发奶牛(n= 28)每日CH_4排放的平均水平没有差异用RC测量或使用LMD估计,CH_4预测之间没有发现相关性(MIR)和RC中测量的CH_4排放。当个人时基于测量的CH_4产量重新分类在RC中,10个低低量之间的差异10个高CH_4发射器约为20%。低ch_4.发射奶牛的进料摄入量较高,牛奶产量和残留的饲料摄入量,但它们只有弱差别饮食模式和digesta意味着保留时间。低的CH_4发射器的特征在于醋酸少量更高的丙种比例的总瘤胃挥发性脂肪酸。我们得出结论,目前的MIR为基础CH_4预测不足以实现饲养饲料饲料饲养课程饮食。此外,低CH_4发射奶牛必须是使用机械研究更详细地表征更详细地澄清解释的属性与其他相比的功能差异奶牛。

著录项

  • 来源
    《Journal of dairy science》 |2020年第2期|2024-2039|共16页
  • 作者单位

    ETH Zurich Institute of Agricultural Sciences Universitaetstrasse 2 8092 Zurich Switzerland;

    ETH Zurich Institute of Agricultural Sciences Universitaetstrasse 2 8092 Zurich Switzerland Department of Animal and Aquacultural Sciences Norwegian University of Life Sciences PO Box 5003 1432 As Norway;

    Agroscope Ruminant Research Unit Route de la Tioleyre 4 1725 Posieux Switzerland;

    Agroscope Ruminant Research Unit Route de la Tioleyre 4 1725 Posieux Switzerland;

    Qualitas AG Chamerstrasse 56 6300 Zug Switzerland;

    Qualitas AG Chamerstrasse 56 6300 Zug Switzerland;

    Qualitas AG Chamerstrasse 56 6300 Zug Switzerland;

    Valorisation of Agricultural Products Department Walloon Agricultural Research Centre Chaussee de Namur 24 B-5030 Gembloux Belgium;

    Institute of Agricultural and Nutritional Sciences – Animal Breeding Martin Luther University Halle-Wittenberg Theodor-Lieser-Str. 11 06120 Halle Germany German Environment Agency (Umweltbundesamt) Woerlitzer Platz 1 06844 Dessau-Rosslau Germany;

    Leibniz Institute for Zoo and Wildlife Research (IZW) Berlin Alfred-Kowalke-Str. 17 10315 Berlin Germany;

    Clinic for Zoo Animals Exotic Pets and Wildlife Vetsuisse Faculty University of Zurich Winterthurerstrasse 260 8057 Zurich Switzerland;

    ETH Zurich Institute of Agricultural Sciences Universitaetstrasse 2 8092 Zurich Switzerland;

  • 收录信息 美国《科学引文索引》(SCI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    digestion; feed efficiency; methane prediction; proxy;

    机译:消化;饲料效率;甲烷预测;代理人;

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