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不同经济选育指数奶牛在季节性草地管理下的温室气体排放和氮效率。

Greenhouse gas emissions and nitrogen efficiency of dairy cows of divergent economic breeding index under seasonal pasture-based management.

机构信息

Teagasc, Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, Co. Cork, P61 C996, Ireland; School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, D04 N2E5, Ireland.

Teagasc, Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, Co. Cork, P61 C996, Ireland.

出版信息

J Dairy Sci. 2021 Jul;104(7):8039-8049. doi: 10.3168/jds.2020-19618. Epub 2021 Apr 30.

Abstract

Greenhouse gas (GHG) emissions and nitrogen (N) efficiencies were modeled for 2 genetic groups (GG) of Holstein-Friesian cows across 3 contrasting feeding treatments (FT). The 2 GG were (1) high economic breeding index (EBI) animals representative of the top 5% of cows nationally (elite) and (2) EBI representative of the national average (NA). The FT represented (1) generous feeding of pasture, (2) a slight restriction in pasture allowance, and (3) a high-concentrate feeding system with adequate pasture allowance. Greenhouse gas and N balance models were parameterized using outputs generated from the Moorepark Dairy Systems model, a stochastic budgetary simulation model, having integrated biological data pertaining to the 6 scenarios (2 GG × 3 FT) obtained from a 4-yr experiment conducted between 2013 and 2016. On a per hectare basis, total system GHG emissions were similar for both elite and NA across the 3 FT. Per unit of product, however, the elite group had 10% and 11% lower GHG emissions per kilogram of fat- and protein-corrected milk and per kilogram of milk solids (MSO; fat + protein kg), respectively, compared with the NA across the 3 FT. The FT incorporating high concentrate supplementation had greater absolute GHG emissions per hectare as well as GHG per kilogram of fat- and protein-corrected milk and MSO. The elite group had a slightly superior N use efficiency (N output/N input) and lower N surplus (N input - N output) compared with the NA group. The high concentrate FT had an inferior N use efficiency and a higher N surplus. The results of the current study demonstrate that breeding for increased EBI will lead to a general improvement in GHG emissions per unit of product as well as improved N efficiency. The results also illustrate that reducing concentrate supplementation will reduce GHG emissions, GHG emissions intensity, while improving N efficiency in the context of pasture-based dairy production.

摘要

温室气体(GHG)排放和氮(N)效率在荷斯坦-弗里生牛的 2 个遗传组(GG)中进行了建模,跨越了 3 个不同的饲养处理(FT)。这 2 个 GG 分别是:(1)高经济选育指数(EBI)动物,代表全国前 5%的奶牛(精英);(2)EBI 代表全国平均水平(NA)。FT 代表(1)牧场的丰饲,(2)牧场允许量的轻微限制,以及(3)高浓缩物饲养系统,具有充足的牧场允许量。温室气体和 N 平衡模型是使用 Moorepark 奶牛系统模型生成的输出进行参数化的,该模型是一个随机预算模拟模型,集成了与 2013 年至 2016 年期间进行的 4 年实验相关的 6 种情景(2 GG×3 FT)的生物数据。以每公顷为基础,在 3 个 FT 中,精英组和 NA 组的总系统 GHG 排放相似。然而,与 NA 组相比,精英组每单位产品的 GHG 排放量分别降低了 10%和 11%,每公斤脂肪-和蛋白校正奶和每公斤牛奶固体(MSO;脂肪+蛋白 kg)。在包含高浓缩物补充的 FT 中,每公顷的绝对 GHG 排放量以及每公斤脂肪-和蛋白校正奶和 MSO 的 GHG 排放量更大。与 NA 组相比,精英组的 N 利用效率(N 输出/N 输入)略有提高,N 盈余(N 输入-N 输出)较低。高浓缩物 FT 的 N 利用效率较低,N 盈余较高。本研究的结果表明,选育增加 EBI 将导致单位产品 GHG 排放的普遍改善,以及 N 效率的提高。结果还表明,减少浓缩物补充将减少 GHG 排放、GHG 排放强度,同时提高基于牧场的奶牛生产中的 N 效率。

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