Meta-analysis of the benefits of dietary Saccharomyces cerevisiae intervention on milk yield and component characteristics in lactating small ruminants

IF 1.8 Q2 AGRICULTURE, MULTIDISCIPLINARY Open Agriculture Pub Date : 2023-01-01 DOI:10.1515/opag-2022-0178
I. Ogbuewu, C. Mbajiorgu
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Abstract

Abstract Milk yield and components in small ruminants fed Saccharomyces cerevisiae (SC) have been investigated, but results were not consistent among investigators. Hence, this trial aimed to explore the efficacy of SC supplementation in improving milk yield and components (i.e., milk proteins, fat, lactose, total solids and ash) in small ruminants. A search performed in Scopus, PubMed and Google Scholar databases yield 1,826 studies, of which 26 met the inclusion criteria. Random-effects model was used to aggregate milk production variables. Meta-regression analysis examined the effect of the following moderators: SC type, ruminant type (sheep or goat), diet type, breed, duration of supplementation and supplementation levels on outcome measures. Subgroup analysis explored the influence of the following moderators: SC type and ruminant type on outcomes measures. SC had positive moderate effect on milk yield (standardised mean difference [SMD] = 0.72; p < 0.001; heterogeneity [I 2] = 73%) and small effect on milk proteins (SMD = 0.46; p = 0.004; I 2 = 83%), milk lactose (SMD = 0.17; p = 0.007; I 2 = 0%) and fat (SMD = 0.28; p = 0.016; I 2 = 70%). Subgroup analysis revealed that SC improved milk yield, lactose and proteins in lactating sheep and milk yield and fat in lactating goats. Our results show that moderators influenced the results of the meta-analysis and explained most of the sources of heterogeneity. In conclusion, SC should be included in small ruminant diets as it had small-to-moderate effects on milk yield and aspects of milk components.
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饲粮中添加酿酒酵母对泌乳小反刍动物产奶量及成分特性影响的meta分析
摘要对小反刍动物饲养酿酒酵母(SC)的产奶量和成分进行了研究,但研究者之间的结果并不一致。因此,本试验旨在探索补充SC在提高小型反刍动物产奶量和成分(即乳蛋白、脂肪、乳糖、总固体和灰分)方面的功效。在Scopus、PubMed和Google Scholar数据库中进行的搜索产生了1826项研究,其中26项符合纳入标准。随机效应模型用于聚合牛奶生产变量。荟萃回归分析检验了以下调节因子对结果测量的影响:SC型、反刍动物型(绵羊或山羊)、饮食类型、品种、补充时间和补充水平。亚组分析探讨了以下调节因子:SC型和反刍动物型对结果测量的影响。SC对产奶量有积极的中等影响(标准化平均差异[SMD]=0.72;p<0.001;异质性[I2]=73%),对乳蛋白(SMD=0.46;p=0.004;I2=83%)、乳乳糖(SMD=0.17;p=0.0027;I2=0%)和脂肪(SMD=0.28;p<0.016;I2=70%)的影响较小。亚组分析显示,SC提高了泌乳绵羊的产奶量、乳糖和蛋白质,并提高了泌乳山羊的产奶率和脂肪。我们的结果表明,调节因子影响了荟萃分析的结果,并解释了异质性的大部分来源。总之,SC应包括在小型反刍动物的饮食中,因为它对产奶量和奶成分有小到中等的影响。
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来源期刊
Open Agriculture
Open Agriculture AGRICULTURE, MULTIDISCIPLINARY-
CiteScore
3.80
自引率
4.30%
发文量
61
审稿时长
9 weeks
期刊介绍: Open Agriculture is an open access journal that publishes original articles reflecting the latest achievements on agro-ecology, soil science, plant science, horticulture, forestry, wood technology, zootechnics and veterinary medicine, entomology, aquaculture, hydrology, food science, agricultural economics, agricultural engineering, climate-based agriculture, amelioration, social sciences in agriculuture, smart farming technologies, farm management.
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