Ncube K T, Hadebe K, Dzomba E F, Soma P, Frylinck L, Muchadeyi F C
Biotechnology Platform, Agricultural Research Council, Private Bag X5, Onderstepoort, 0110, South Africa.
Discipline of Genetics, School of Life Sciences, University of KwaZulu-Natal, Private Bag X01, Scottsville, 3209, South Africa.
Trop Anim Health Prod. 2020 May;52(3):1277-1286. doi: 10.1007/s11250-019-02128-1. Epub 2019 Dec 18.
Goats play a major role in poor marginalized communities of South Africa for food security and socio-economic purposes. Majority of the goats are raised in villages with poor infrastructure and resources, therefore facing challenges that affect growth performance which leads to low mature weights. Investigating growth profiles will shed light on growth performances and will aid in goat improvement and selection. This study investigated the growth profiles and genomic structure of SA indigenous breeds raised in different production systems to unravel the genetic potential of indigenous goat populations. Live weights and morphological body measurements were collected from a total of 83 kids representing the commercial meat-producing SA Boer (n = 14); the indigenous veld goats (IVG) of NC Skilder (n = 14), Mbuzi (n = 13), and Xhosa lob (n = 14) raised under intensive systems; and nondescript village goat populations (n = 14) raised in intensive and others (n = 14) raised in extensive production systems. The remaining 72 of 83 phenotyped goats were genotyped using the Illumina Caprine SNP50K BeadChip. The SA Boer had a higher weight (28.96 ± 0.30 kg) gain as compared to other populations. The Mbuzi population was the smallest (14.83 ± 0.33 kg), while the village goats raised in Pella Village were relatively smaller (17.55 ± 0.37 kg) than those raised on the research farm (19.55 ± 0.36 kg). The study concluded that both genetics and management systems can lead to improved growth performance in goat production. The outputs of this study can be used to identify suitable breeds and potential genotypes for optimal growth and establish optimal goat management systems suitable for communal farmers for improved productivity.
在南非贫困的边缘化社区,山羊在粮食安全和社会经济方面发挥着重要作用。大多数山羊饲养在基础设施和资源匮乏的村庄,因此面临着影响生长性能的挑战,导致成熟体重偏低。研究生长曲线将有助于了解生长性能,并有助于山羊的改良和选育。本研究调查了在不同生产系统中饲养的南非本土品种的生长曲线和基因组结构,以揭示本土山羊种群的遗传潜力。共收集了83只羔羊的活重和形态学身体测量数据,其中包括代表商业产肉品种南非布尔山羊(n = 14);在集约化系统下饲养的NC Skilder的本土草原山羊(IVG)(n = 14)、姆布齐山羊(n = 13)和科萨洛布山羊(n = 14);以及在集约化系统中饲养的无特定品种的乡村山羊种群(n = 14)和在粗放生产系统中饲养的其他山羊(n = 14)。对83只进行了表型分析的山羊中的其余72只使用Illumina Caprine SNP50K BeadChip进行基因分型。与其他种群相比,南非布尔山羊的体重增加更高(28.96 ± 0.30千克)。姆布齐山羊种群最小(14.83 ± 0.33千克),而在佩拉村饲养的乡村山羊比在研究农场饲养的山羊相对更小(17.55 ± 0.37千克)(研究农场饲养的山羊体重为19.55 ± 0.36千克)。该研究得出结论,遗传因素和管理系统都可以提高山羊生产中的生长性能。本研究结果可用于识别适合最佳生长的品种和潜在基因型,并建立适合社区农民的最佳山羊管理系统,以提高生产力。