TY - JOUR
T1 - Olfactory evaluation of boar taint: effect of factors measured at slaughter and link with boar taint compounds
AU - Heyrman, Evert
AU - Millet, Sam
AU - Tuyttens, Frank
AU - Ampe, Bart
AU - Janssens, Steven
AU - Buys, Nadine
AU - Wauters, Jella
AU - Vanhaecke, Lynn
AU - Aluwé, Marijke
PY - 2017
Y1 - 2017
N2 - There is a commitment by the European pig sector to ban surgical castration of male piglets in the European Union in 2018. One
alternative to castration is to raise entire male pigs, with an increased risk of boar taint. A field study was performed to: (1) evaluate interand
intra-farm variation in boar taint prevalence, (2) investigate factors measured at slaughter influencing boar taint and (3) evaluate the
relationship between sensorial scoring by a trained panel and the concentration of boar taint components. From 34 farms, neck fat
samples were collected from all entire male pigs in at least two slaughter batches per farm (78 batches; 9167 animals). In addition to
olfactory boar taint analysis, data were also collected on fresh skin lesions (score 0 to 3) at the slaughter line, slaughter weight, lean meat
percentage, duration of transport, time spent in lairage, total delivery duration, day length, shortening of days and outdoor mean
temperature. Using the hot iron method, neck fat samples were scored (eight-point scale) for boar taint. Average boar taint prevalence
(score ≥3) was 5.6 ± 2.5% and the mean difference between the maximum and minimum prevalence per farm was 4.3 ± 3.2%.
Androstenone (AND), skatole (SKA) and indole concentrations were measured for a subset (n = 254) of the samples. According to
binomial univariate mixed models, entire male pigs with a higher skin lesion score had higher odds of having boar taint ( P = 0.031), as
did fatter entire male pigs ( P<0.001). In the binomial multivariate mixed model lean meat percentage ( P<0.001) and outdoor mean
temperature ( P = 0.005) remained as only significant factors. Based on our results, we can conclude that these statistically significant at
least partially influence the prevalence of boar taint. According to the binomial univariate mixed models SKA concentration in liquid fat
seems a better predictor for boar taint than AND. There were no significant synergetic effects between boar taint compounds.
AB - There is a commitment by the European pig sector to ban surgical castration of male piglets in the European Union in 2018. One
alternative to castration is to raise entire male pigs, with an increased risk of boar taint. A field study was performed to: (1) evaluate interand
intra-farm variation in boar taint prevalence, (2) investigate factors measured at slaughter influencing boar taint and (3) evaluate the
relationship between sensorial scoring by a trained panel and the concentration of boar taint components. From 34 farms, neck fat
samples were collected from all entire male pigs in at least two slaughter batches per farm (78 batches; 9167 animals). In addition to
olfactory boar taint analysis, data were also collected on fresh skin lesions (score 0 to 3) at the slaughter line, slaughter weight, lean meat
percentage, duration of transport, time spent in lairage, total delivery duration, day length, shortening of days and outdoor mean
temperature. Using the hot iron method, neck fat samples were scored (eight-point scale) for boar taint. Average boar taint prevalence
(score ≥3) was 5.6 ± 2.5% and the mean difference between the maximum and minimum prevalence per farm was 4.3 ± 3.2%.
Androstenone (AND), skatole (SKA) and indole concentrations were measured for a subset (n = 254) of the samples. According to
binomial univariate mixed models, entire male pigs with a higher skin lesion score had higher odds of having boar taint ( P = 0.031), as
did fatter entire male pigs ( P<0.001). In the binomial multivariate mixed model lean meat percentage ( P<0.001) and outdoor mean
temperature ( P = 0.005) remained as only significant factors. Based on our results, we can conclude that these statistically significant at
least partially influence the prevalence of boar taint. According to the binomial univariate mixed models SKA concentration in liquid fat
seems a better predictor for boar taint than AND. There were no significant synergetic effects between boar taint compounds.
M3 - A1: Web of Science-article
SN - 1751-7311
VL - 11
SP - 2084
EP - 2093
JO - Animal
JF - Animal
IS - 11
ER -