Abstract The Moxoto was the first local breed officially recognized by the Brazilian Ministry of Agriculture; it is under serious threat as well as other locally adapted goat breeds. To be inserted into conservation programs, it is necessary to characterize their phenotype profile. Many statistical tools are available to assess the phenotypic profile of endangered breeds, and, in this context, multivariate techniques may be useful, as they consider all the variables simultaneously. In this study, factor analysis, and canonical discriminant analysis were used to characterize the phenotypic profile of the Moxoto breed. It was used 11 morphometric variables (Head length =HL ; Face width = FW ; Head width = HW ; Body length = BL ;Chest girth = CG; Wither height = WH ; Sacral Region height = SRH; Croup width = CW; Croup length = CL; Shin perimeter = SP, and Ear size = ES) collected from different herds (populations), located in the center of breed origin. Through factor analysis, the variables CG, CL, FW, CW, WH, SRH, and ES were identified as the most important to explain the total variation. On the other hand, the variables HL, FW, HW, ES, CG, BL, SRH, and CW were identified as having greater discriminatory power to explain the variation between herds (populations). Multivariate analysis proved to be efficient to characterize the morphometric profile of the Moxoto breed, and these results may be the first step for a conservation program for the breed.

中文翻译：

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多变量分析是评估濒危山羊形态特征的有用工具吗？

摘要 Moxoto 是巴西农业部正式认可的第一个地方品种；它和其他适应当地的山羊品种一样受到严重威胁。要插入到保护程序中，有必要对它们的表型进行表征。许多统计工具可用于评估濒危品种的表型特征，在这种情况下，多变量技术可能很有用，因为它们同时考虑了所有变量。在这项研究中，因子分析和典型判别分析用于表征 Moxoto 品种的表型特征。它使用了 11 个形态测量变量（头长 = HL ; 脸宽 = FW ; 头宽 = HW ; 体长 = BL ;胸围 = CG; 肩高 = WH ; 骶区高度 = SRH; 臀部宽度 = CW; 臀部长度= CL；新周长 = SP，和耳朵大小 = ES) 从位于品种起源中心的不同畜群（种群）收集。通过因子分析，变量CG、CL、FW、CW、WH、SRH和ES被确定为解释总变异最重要的变量。另一方面，变量 HL、FW、HW、ES、CG、BL、SRH 和 CW 被确定为具有更大的区分力来解释畜群（种群）之间的差异。多变量分析被证明可以有效地表征 Moxoto 品种的形态特征，这些结果可能是该品种保护计划的第一步。另一方面，变量 HL、FW、HW、ES、CG、BL、SRH 和 CW 被确定为具有更大的区分力来解释畜群（种群）之间的差异。多变量分析被证明可以有效地表征 Moxoto 品种的形态特征，这些结果可能是该品种保护计划的第一步。另一方面，变量 HL、FW、HW、ES、CG、BL、SRH 和 CW 被确定为具有更大的区分力来解释畜群（种群）之间的差异。多变量分析被证明可以有效地表征 Moxoto 品种的形态特征，这些结果可能是该品种保护计划的第一步。