The study was designed to understand the correlation between variations of heart morphology and clinical chemistry profiles in testing boars. Principal component analysis and stepwise regression revealed that, among the cardiac morphological characteristics measured, heart weight (HW) was the chief indicator to express heart size, followed by posterior ventricular septum (PVS) and anterior ventricular septum (AVS) thickness. By stepwise regression analysis, an index of heart size = -16.87 + 0.021 X HW + 0.141 X PVS + 0.164 X AVS was obtained. It was also found that the clinicochemical profiles detected could be used to predict the cardiac size index. Glucose was the first indicator among those characteristics; the second and third were HBD and ALKP, respectively. The regression generated was index = -1.35 - 0.620 X Glucose + 1.831 X In (HBD) -1.732 X In (ALKP), r = 0.58 (P < 0.05).
The study was designed to understand the correlation between variations of heart morphology and clinical chemistry profiles in testing boars. Principal component analysis and stepwise regression revealed that, among the cardiac morphological characteristics measured, heart weight (HW) was the chief indicator to express heart size, followed by posterior ventricular septum (PVS) and anterior ventricular septum (AVS) thickness. By stepwise regression analysis, an index of heart size = -16.87 + 0.021 X HW + 0.141 X PVS + 0.164 X AVS was obtained. It was also found that the clinicochemical profiles detected could be used to predict the cardiac size index. Glucose was the first indicator among those characteristics; the second and third were HBD and ALKP, respectively. The regression generated was index = -1.35 - 0.620 X Glucose + 1.831 X In (HBD) -1.732 X In (ALKP), r = 0.58 (P < 0.05).