Chair for Animal Nutrition and Rangeland Management in the Tropics and Subtropics, University of Hohenheim, Fruwirthstraße 31, Stuttgart70599, Germany.
Division for Agriculture and Rural Development, Unique Forestry and Land Use GmbH, Schnewlinstraße 10, Freiburg79098, Germany.
Animal. 2020 Dec;14(12):2619-2627. doi: 10.1017/S1751731120001548. Epub 2020 Jun 30.
Although East Africa is home to one of the most advanced dairy industries in Sub-Saharan Africa, regional annual milk production is insufficient to meet the demand. The challenge of increasing milk yields (MYs) among smallholder dairy cattle farmers (SDCFs) has received considerable attention and resulted in the introduction of various dairy management strategies (DMSs). Despite adoption of these DMSs, MYs remain low on-farm and there is a large discrepancy in the efficacy of DMSs across different farms. Therefore, the present study sought to: (1) identify on-farm DMSs employed by East African SDCFs to increase MYs and (2) summarize existing literature to quantify the expected MY changes associated with these identified DMSs. Data were collected through a comprehensive literature review and in-depth semi-structured interviews with 10 experts from the East African dairy sector. Meta-analysis of the literature review data was performed by deriving four multivariate regression models (i.e. models 1 to 4) that related DMSs to expected MYs. Each model differed in the weighting strategy used (e.g. number of observations and inverse of the standard errors) and the preferred model was selected based on the root estimated error variance and concordance correlation coefficient. Nine DMSs were identified, of which only adoption of improved cattle breeds and improved feeding (i.e. increasing diet quality and quantity) consistently and significantly (P < 0.05) increased daily MYs across the available studies. Improved breeds alongside adequate feeding explained ≤50% of the daily MYs observed in the metadata while improved feeding explained ≤30% of the daily MYs observed across the different models. Conversely, calf suckling significantly (P < 0.05) reduced MYs according to model 2. Other variables including days in milk, trial length and maximum ambient temperature (used as a proxy for heat stress) contributed significantly to decreasing MYs. These variables may explain some of the heterogeneity in MY responses to DMSs reported in the literature. Our results suggest that using improved cattle breeds alongside improved feeding is the most reliable strategy to increase MYs on-farm in East Africa. Nevertheless, these DMSs should not be considered as standalone solutions but as a pool of options that should be combined depending on the resources available to the farmer to achieve a balance between using dairy cattle genetics, proper husbandry and feeding to secure higher MYs.
尽管东非拥有撒哈拉以南非洲地区最先进的乳业之一,但该地区的年度牛奶产量仍不足以满足需求。提高小农户奶牛养殖者(SDCF)牛奶产量(MY)的挑战已受到广泛关注,并导致了各种乳业管理策略(DMS)的引入。尽管采用了这些 DMS,但农场的 MY 仍然很低,不同农场的 DMS 效果存在很大差异。因此,本研究旨在:(1)确定东非 SDCF 用来提高 MY 的农场 DMS,(2)总结现有文献,量化与这些确定的 DMS 相关的预期 MY 变化。通过全面的文献综述和对来自东非乳业部门的 10 位专家的深入半结构化访谈收集数据。通过推导四个多元回归模型(即模型 1 至 4)来对文献综述数据进行元分析,该模型将 DMS 与预期 MY 相关联。每个模型在使用的加权策略(例如观察次数和标准误差的倒数)方面有所不同,并且根据根估计误差方差和协调相关系数选择首选模型。确定了 9 种 DMS,其中只有采用改良牛种和改良饲养(即提高饲料质量和数量)才能一致且显著(P <0.05)提高所有可用研究中的每日 MY。改良品种加上充足的饲料可以解释元数据中观察到的每日 MY 的≤50%,而改良饲料可以解释不同模型中观察到的每日 MY 的≤30%。相反,根据模型 2,犊牛吮吸会显著(P <0.05)降低 MY。其他变量包括泌乳天数、试验长度和最大环境温度(用作热应激的替代物)对降低 MY 有显著贡献。这些变量可以解释文献中报道的 DMS 对 MY 响应的一些异质性。我们的结果表明,在东非,使用改良牛种和改良饲养是提高农场 MY 的最可靠策略。然而,这些 DMS 不应被视为独立的解决方案,而应作为一个选项库,根据农民可用的资源进行组合,以在利用奶牛遗传、适当的饲养和喂养之间取得平衡,从而确保更高的 MY。