Differentiation between milk from low-input biodynamic, intermediate-input organic and high-input conventional farming systems using fluorescence excitation spectroscopy (FES) and fatty acids

IF 1.4 4区 农林科学 Q3 AGRONOMY
Jenifer Wohlers, P. Stolz
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引用次数: 5

Abstract

ABSTRACT This study evaluated the ability of fluorescence excitation spectroscopy (FES) to differentiate milk samples from different origins. Three different farming systems were chosen: D-samples originating from low-input biodynamic farms (cows fed on hay or pasture); O-samples from intermediate-input organic farms (cows fed mainly on grass silage); and C-samples from high-input conventional farms (indoor housing, cows fed on maize and grass silage). Milk samples were collected every second month between July 2015 and June 2016 from 12 farms (four farms per system), and a total of 70 samples were obtained. Fat-, protein- and urea-concentrations, somatic-cell count and fatty acid levels (FA) were determined. FES-measurements were performed by exciting the sample with light of different wavelengths and detecting delayed luminescence. Differences between farming systems in each season were checked by ANOVA. Factors of season, system and breed were evaluated in a linear regression model. By linear-discriminant analysis, variables contributing to correct classification were analysed. Milk FAs, especially the concentration of omega-3 (n3) and omega-6 (n6) FAs, were different between farming systems, while conjugated linoleic acid (CLA) and C18:1t11 (tVA)-concentration was mainly influenced by season (pasture). FES-parameters showed slight seasonal variations, but strong farming-system impacts. Differentiation between the three farming systems was possible for 81% of the samples by using FAs as variables. FES-parameters discriminated up to 86% of the samples, and, in combination, 93% of the samples were classified correctly. These results indicated that FES-results contributed to correct discrimination and that FES-results may be linked with qualities different to the FA profile.
利用荧光激发光谱(FES)和脂肪酸区分低投入生物动力、中等投入有机和高投入传统农业系统的牛奶
摘要:本研究评估了荧光激发光谱(FES)区分不同产地牛奶样品的能力。选择了三种不同的耕作系统:d -样品来自低投入的生物动力农场(以干草或牧场喂养的奶牛);o -样本来自中等投入有机农场(主要以草青贮饲料喂养的奶牛);c -样本来自高投入的传统农场(室内饲养,以玉米和草青贮饲料喂养的奶牛)。2015年7月至2016年6月,每隔第二个月从12个农场(每个系统4个农场)采集牛奶样本,共获得70份样本。测定脂肪、蛋白质和尿素浓度、体细胞计数和脂肪酸水平(FA)。用不同波长的光激发样品并检测延迟发光来进行fes测量。每个季节不同耕作制度之间的差异采用方差分析进行检验。采用线性回归模型对季节、系统、品种等因素进行评价。通过线性判别分析,分析了有助于正确分类的变量。不同农作制度下,牛奶中脂肪酸含量,尤其是ω -3 (n3)和ω -6 (n6)脂肪酸含量存在差异,共轭亚油酸(CLA)和共轭亚油酸(C18:1t11)脂肪酸含量主要受季节(牧场)的影响。fes参数表现出轻微的季节变化,但对农业系统的影响较大。通过使用fa作为变量,81%的样本可以区分三种耕作制度。fes参数对86%的样本进行了区分,综合起来,93%的样本被正确分类。这些结果表明,fes结果有助于正确的区分,fes结果可能与不同于FA档案的品质有关。
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来源期刊
Biological Agriculture & Horticulture
Biological Agriculture & Horticulture 农林科学-农艺学
CiteScore
3.30
自引率
6.70%
发文量
18
审稿时长
>36 weeks
期刊介绍: Biological Agriculture & Horticulture aims to act as the central focus for a wide range of studies into alternative systems of husbandry, and particularly the biological or organic approach to food production. The Journal publishes work of a sound scientific or economic nature related to any aspect of biological husbandry in agriculture, horticulture and forestry in both temperate and tropical conditions, including energy and water utilization, and environmental impact.
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