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Non-hierarchical cluster analysis for determination of resistance to worm infection in meat sheep
Tropical Animal Health and Production ( IF 1.7 ) Pub Date : 2020-11-20 , DOI: 10.1007/s11250-020-02484-3
Johnny Iglesias Mendes Araujo , Natanael Pereira da Silva Santos , Max Brandão de Oliveira , Luciano Silva Sena , Daniel Biagiotti , Aurino de Araujo Rego Neto , José Lindenberg Rocha Sarmento

The aim of this study was to determine the resistance to worm infection in Santa Inês sheep by combining different sets of gastrointestinal parasite resistance indicator traits, using the k-means algorithm. Records from 221 animals reared in the Mid-North sub-region of Brazil were used. The following phenotypes were used: hematocrit (HCT); white blood cell count; red blood cell count (RBC); hemoglobin (HGB); platelets; mean corpuscular hemoglobin; mean corpuscular volume; mean corpuscular hemoglobin concentration; fecal egg count (FEC); coloration of the ocular mucosa (FAMACHA score); body condition score (BCS); withers height; and rump height. Two files with phenotypic information of animals were edited: complete, including all traits, and reduced, in which only FAMACHA score, HCT, FEC, and BCS were used. For determination of worm resistance, three groups were formed using the k-means non-hierarchical clustering by combining the traits of the complete and reduced analyses. The animals of the group in which individuals had the lowest values for FEC and FAMACHA score, as well as the highest values for HCT, RBC, HGB, and BCS were classified as resistant. In the group with opposite values for the aforementioned traits, the animals were classified as sensitive. The animals of the group with values between the other two groups were classified as moderately resistant. The results obtained in complete and reduced analyses were equivalent. Thus, it is possible to identify animals of the Santa Inês sheep breed according to their status of resistance to worm infection based on a reduced trait set.



中文翻译:

用于确定肉羊对蠕虫感染的抗性的非层次聚类分析

这项研究的目的是通过组合不同组的胃肠道寄生虫抗药性指标性状来确定SantaInês绵羊对蠕虫感染的抗性,使用k-均值算法。使用了巴西中北部分区饲养的221只动物的记录。使用了以下表型:血细胞比容(HCT);白细胞计数;红细胞计数(RBC);血红蛋白(HGB)血小板 平均血红蛋白 平均红细胞体积;平均红细胞血红蛋白浓度;粪便卵数(FEC); 眼粘膜的着色(FAMACHA评分);身体状况评分(BCS);凋零的高度 和臀部的高度。编辑了两个具有动物表型信息的文件:完整(包括所有性状)和简化(仅使用FAMACHA评分,HCT,FEC和BCS)。为了确定蠕虫抗性,使用k-通过组合完整和简化分析的特征来表示非层次聚类。个体中FEC和FAMACHA得分最低,HCT,RBC,HGB和BCS最高的一组动物被归类为抗药性。在具有上述特征的相反值的组中,将动物分类为敏感。该组动物的其他两个组之​​间的值被分类为中等抵抗力。在完全和简化的分析中获得的结果是等效的。因此,有可能根据减少的性状集根据其对蠕虫感染的抵抗力状况,来确定SantaInês绵羊品种的动物。

更新日期:2020-11-21
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