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Application of ordinal logistic regression model for evaluation of skin quality grading data in Sheep

机译:序数逻辑回归模型在绵羊皮肤质量分级数据评估中的应用

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This study was conducted to compare and evaluate skin quality grading of two indigenous (Blackhead Ogaden?[B1]?and Hararghe Highland?[B2]) with two crossbreds (?Dorper?Blackhead Ogaden?[B3]?and ?Dorper?Haraghe Highland?[B4]?lambs. Following a 90 days feeding trial period, 6 lambs from each breed, a total of 24 lambs were randomly selected and slaughtered for the evaluation of skin quality grading. Visual inspection of the skin was undertaken by trained panel and skin quality grade was made according to 1 to 5 scales with 1 being excellent and 5 being poor. Ordinal logistic regression methodology was used for analyzing response outcomes.The results showed that, the preference ordering for skin quality grading to have the rank B2 > B4 > B3 > B1. Skin quality of the crossbred lambs “B3” was found to be better than indigenous breed “B1”; while the skin quality grading of the indigenous breed “B2”was found to be better than both “B4” and “B1”.
机译:这项研究的目的是比较和评估两种杂种(?Dorper?Blackhead Ogaden?[B3]?和?Dorper?Haraghe Highland)的两个土著人(Blackhead Ogaden? ?[B4]?羔羊在90天的饲养试验期后,从每个品种中选出6只羔羊,共随机选择和屠宰24只羔羊,以评估皮肤质量等级,并由经过培训的专家小组对皮肤进行目视检查。根据1〜5级的皮肤质量等级,以1级为优,5级为差,采用有序逻辑回归分析方法对反应结果进行分析,结果表明,皮肤质量等级的优先顺序为B2> B4。 > B3> B1。发现杂交羔羊“ B3”的皮肤质量优于本土品种“ B1”;而本土品种“ B2”的皮肤质量等级均优于“ B4”和“ B2” B1”。

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