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首页> 外文期刊>Tropical Animal Health and Production >The Mineral Scoring Technique and Evaluation of Indigenous Browse Species as Natural Mineral Phytocentres for Goats in African Rangelands
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The Mineral Scoring Technique and Evaluation of Indigenous Browse Species as Natural Mineral Phytocentres for Goats in African Rangelands

机译:非洲牧场山羊天然矿质植物中心的矿物评分技术和土著浏览物种评价

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摘要

The utilization and evaluation of indigenous browse species as natural mineral phytocentres for goats was examined by the combined use of mineral concentrations, mineral scores, browse accessibility and abundance in the Ankole rangeland, Uganda. The species Grewia bicolor and Carissa edulis with <140% mineral scores and <70% accessibility were the most valuable mineral phytocentres and were the victims of overgrazing. Acacia albida and Acacia abyssinica with <130% mineral scores but <30% browse accessibility were valuable for the cut-and-carry feeding system. Species mineral scores at average and maximum dietary recommendations were <60%, highlighting the mineral insufficiency of range browse for high-performance goats. Mineral supply potential was highest (35.0%) in the genus Acacia and lowest (5.3%) in Dichrostachys. Browse accessibility was <35% in 69.2% of species. Acacia hockii was the most abundant species (24.5%) but had the lowest mineral score (17.7%). Browse species (90–100%) were deficient in Fe, Mn, Cu and Zn. The combined use of mineral concentrations and mineral scoring technique was superior to the use of mineral concentrations alone in defining mineral adequacy, deficiency and supply potential, making the mineral scoring technique a valuable tool in browse management.
机译:通过对乌干达安科勒牧场的矿物质浓度,矿物质得分,浏览可及性和丰富度的综合利用,对土著浏览物种作为山羊的天然矿物植物中心的利用和评估进行了研究。矿物分数<140%和可及性<70%的双色Grewia coloured和Carissa edulis是最有价值的矿物植物中心,也是过度放牧的受害者。矿物分数<130%但浏览可达性<30%的相思树和相思树对插拔式饲喂系统很有价值。平均和最高饮食建议的物种矿物质得分小于60%,这突出说明了高性能山羊的范围浏览矿物质不足。金合欢属的矿物质供应潜力最高(35.0%),而金缕梅属的矿物质供应潜力最低(5.3%)。在69.2%的物种中,浏览可访问性<35%。霍卡相思是最丰富的物种(24.5%),但矿物分数最低(17.7%)。浏览物种(90-100%)缺乏铁,锰,铜和锌。矿物浓度和矿物评分技术的结合使用在确定矿物的充足性,不足和供应潜力方面优于单独使用矿物浓度,使矿物评分技术成为浏览管理中的重要工具。

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