## 3 Results  
The summary descriptive statistics expressed as mean \(\pm\) standard deviation are reported in Table 3.  
The effects of breed, age class and DIM class on milk yield are reported in Table 4. The Bayesian analysis put in evidence a significant effect of breed and DIM: Alpine goats yielded a higher amounts of milk in a single milking than Nera Verzasca, when age class or DIM class were considered (Table 4 and Figure 1a,b). In both breeds, daily milk yield reached a zenith in the period 51-100 DIM, more evident in Alpine goats than Verzasca ones. Then, the milk yield progressively decreased, reaching values significantly lower than the ones at the beginning of lactation. Although milk fat and protein percentages did not differ between breeds, a decreasing trend in fat and protein percentage was observable during aging (statistically significant only for protein percentage) (Table 4 and Figure 1c,d); both the milk fat percentage and milk protein percentage had shown a \"U\" shape trend when considering DIM classes (Figure 1e,f). These two parameters, in fact, assumed their higher values at the beginning and at the end of lactation; while in the middle of it, they reached the lowest values. Milk lactose percentage was significantly higher in the Nera Verzasca than in the Alpine breed. This difference was maintained during all the lactation periods considered and maintained a constant, decreasing trend (Table 4 and Figure 1g,h). The fat/protein ratio in milk, as a fat mobilization index, changed significantly with DIM (Figure 1j), without evidencing differences between breeds or age class (Figure 1i). The fat/lactose ratio as a secondary fat mobilization index statistically overlapped to the fat/protein ratio, with significant influence of DIM class (Table 4 and Figure 1l). Somatic cell count (SCC) significantly increased both with age and DIM class, but no statistically significant differences were shown between breeds, although a higher value in SCC was observed in the Alpine breed milk (Tables 3 and 4 and Figure 1m,n). Tables 5 and 6 show the Bayesian correlation coefficients between milk variables in the two examined breeds. Correlations appeared similar between breeds, except for milk yield that differently correlated with some variables in different fashions if the Alpine or Nera Verzasca breed was considered. Milk fat percentage was strongly negatively correlated with milk yield, but this correlation was stronger in the Alpine than in the Nera Verzasca breed (Table 5). Analogue conclusions can be drawn for the fat/protein ratio (Table 5). An opposite behavior could be seen considering the milk yield and protein percentage (Table 5), with a stronger negative correlation in the Nera Verzasca breed with respect to the Alpine goat. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline  & **Breed** &
\begin{tabular}{c} **Milk Yield** \\ **(/d)** \\ \end{tabular} & **Fat (\%)** & **Protein (\%)** & **Lactose (\%)** & **SCC \({}^{1}\) (10\({}^{3}\)/mL)** \\ \hline \multirow{2}{*}{Mean \(\pm\) SD 2} & Alpine & 2.14 \(\pm\) 1.03 & 3.18 \(\pm\) 0.78 & 3.15 \(\pm\) 0.39 & 4.43 \(\pm\) 0.28 & 1216 \(\pm\) 2828 \\  & Verzasca & 1.68 \(\pm\) 0.84 & 3.27 \(\pm\) 0.82 & 3.24 \(\pm\) 0.41 & 4.55 \(\pm\) 0.26 & 798 \(\pm\) 1734 \\ \hline \multirow{2}{*}{Min \(-\) Max} & Alpine & 0.10 \(-\) 5.20 & 1.23 \(-\) 4.62 & 2.27 \(-\) 4.46 & 3.62 \(-\) 5.05 & 48 \(-\) 27,987 \\  & Verzasca & 0.10 \(-\) 4.00 & 1.52 \(-\) 4.78 & 2.48 \(-\) 4.77 & 3.66 \(-\) 5.14 & 27 \(-\) 17,311 \\ \hline \hline \end{tabular}  
* SCC—somatic cell count; 2 SD—standard deviation.  
\end{table} 
Table 3: Descriptive statistics for milk parameters in Alpine and Nera Verzasca goats.