Evaluating Fecal DNA Metabarcoding to Estimate the Dietary Botanical Composition of Goats

IF 2.4 3区 环境科学与生态学 Q2 ECOLOGY Rangeland Ecology & Management Pub Date : 2024-04-06 DOI:10.1016/j.rama.2024.03.005
Robin Malik , Scott L. Kronberg , John R. Hendrickson , Drew A Scott , Edward S. DeKeyser , Kevin K. Sedivec
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Abstract

Improved techniques are needed to estimate the dietary species composition of grazing animals. The fecal DNA metabarcoding technique has been proposed as a noninvasive method to determine dietary species composition. However, studies suggest that it is more effective to qualitatively estimate species composition of wild and domestic animals than for accurately quantifying diet composition. The technique, using the trnL barcode, was evaluated with 10 individually penned goats, which were fed hand-harvested plant materials that were collected fresh each morning before known amounts of each type of plant materials were fed and completely consumed by the goats. Goats were fed at 3% of their body weight on a DM basis. Broadleaf plant materials fed were Russian olive (Elaeagnus angustifolia), silver buffaloberry (Shepherdia argentea), western snowberry (Symphoricarpos occidentalis), and wormwood sage (Artemisia absinthium) plus a mixture of predominantly smooth bromegrass (Bromus inermis), which also included small amounts of other grasses such as Kentucky bluegrass (Poa pratensis) and forbs such as leafy spurge (Euphorbia esula). Estimates of the dietary composition of the goats were different (P ≤ 0.04) from those of their known dietary composition, except for wormwood sage when expressed on a crude protein basis (P = 0.98), regardless of whether known composition was expressed on a dry matter or crude protein basis. Therefore, we conclude that the fecal DNA metabarcoding technique for estimating the dietary composition of goat diets is useful qualitatively but needs further development to be a better quantitative technique.

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评估粪便 DNA 代谢编码以估算山羊的膳食植物成分
需要改进技术来估计放牧动物的食物物种组成。粪便 DNA 代谢编码技术被认为是确定食物物种组成的一种非侵入性方法。然而,研究表明,这种方法更有效的是定性估计野生和家养动物的物种组成,而不是精确量化食物组成。该技术利用 trnL 条形码对 10 只单独圈养的山羊进行了评估,山羊每天早上在喂食已知数量的每种植物材料并完全消耗之前,都要喂食人工采摘的新鲜植物材料。山羊的饲喂量为其体重的 3%(DM)。喂食的阔叶植物材料有俄罗斯橄榄(Elaeagnus angustifolia)、银水杨(Shepherdia argentea)、西洋接骨木(Symphoricarpos occidentalis)和艾蒿鼠尾草(Artemisia absinthium),以及主要是光滑溴草(Bromus inermis)的混合物,其中还包括少量其他草类,如肯塔基蓝草(Poa pratensis)和草本植物,如叶刺芹(Euphorbia esula)。无论已知成分是以干物质还是粗蛋白为基础,山羊的膳食成分估计值都与已知膳食成分估计值不同(P ≤ 0.04),但以粗蛋白为基础表示的虫草鼠尾草除外(P = 0.98)。因此,我们得出结论:用粪便 DNA 代谢编码技术估算山羊日粮组成在定性方面是有用的,但需要进一步发展才能成为更好的定量技术。
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来源期刊
Rangeland Ecology & Management
Rangeland Ecology & Management 农林科学-环境科学
CiteScore
4.60
自引率
13.00%
发文量
87
审稿时长
12-24 weeks
期刊介绍: Rangeland Ecology & Management publishes all topics-including ecology, management, socioeconomic and policy-pertaining to global rangelands. The journal''s mission is to inform academics, ecosystem managers and policy makers of science-based information to promote sound rangeland stewardship. Author submissions are published in five manuscript categories: original research papers, high-profile forum topics, concept syntheses, as well as research and technical notes. Rangelands represent approximately 50% of the Earth''s land area and provision multiple ecosystem services for large human populations. This expansive and diverse land area functions as coupled human-ecological systems. Knowledge of both social and biophysical system components and their interactions represent the foundation for informed rangeland stewardship. Rangeland Ecology & Management uniquely integrates information from multiple system components to address current and pending challenges confronting global rangelands.
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