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Search Results: 1 - 10 of 461855 matches for " A. Sabbioni "
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Reproductive parameters of “Nero di Parma” sows reared outdoor and indoor
A. Sabbioni,V. Beretti,A. Zanon,P. Superchi
Italian Journal of Animal Science , 2010, DOI: 10.4081/ijas.2007.1s.712
Morphological evolution of Bardigiano horse
A. Sabbioni,V. Beretti,A. Zanon,G.P. Pagani
Italian Journal of Animal Science , 2010, DOI: 10.4081/ijas.2005.2s.412
Abstract: The Bardigiano horse is a local breed of the province of Parma. Since the institution of the Stud Book in 1977, the breed has improved its diffusion and is currently present with 110 stallions and over 1700 mares in 43 provinces in Italy and beyond that in Germany, Switzerland and Hungary.
Factors affecting the shape of the lactation curve in Reggiana cattle
A. Sabbioni,V. Beretti,A. Zanon,P. Franceschi
Italian Journal of Animal Science , 2011, DOI: 10.4081/ijas.2003.s1.278
Abstract: Reggiana is a local breed of cattle, reared in Northern Italy, with a low population size (916 milk recorded cows during 2001). The breed is appreciated because of milk composition characteristics for transformation, particularly for colloidal Ca and P content, rheological properties and k-CASB gene frequency (Mariani et al., 1998).Mean productive levels are 5401 kg milk, 3.51% fat, 3.38% protein (AIA, 2001). The breed is selected mainly for protein yield (kg), but literature about lactation curve is not available. Objectives of the research are to describe the lactation curve of Reggiana cattle by applying the Wood model and to evaluate some factors affecting its shape.
Relationships between body composition, backfat depth and reproductive efficiency in gilts
P. Superchi,M. Merenda,C. Sussi,A. Sabbioni
Italian Journal of Animal Science , 2011, DOI: 10.4081/ijas.2003.s1.355
Abstract: Intensive genetic selection allowed to obtained gilts attaining just 30-40% of target mature body lean tissue mass and even further less of target mature body fatty tissue mass at the beginning of reproduction activity (Whittemore, 1996). Fat resources of actual gilts are equivalent to 14- 15 mm backfat thickness (P2) at conception (Caugant et al. 1999) and are low in comparison with old genotypes (fat mass twice than lean mass)...
Effect of the proportion of Duroc genes in crosses with Large White and Landrace pigs on the characteristics of seasoned Parma ham
Alberto Sabbioni,Valentino Beretti,Alessio Zanon,Paola Superchi
Italian Journal of Animal Science , 2010, DOI: 10.4081/ijas.2004.31
Abstract: The aim of this study was to estimate the linear and quadratic effects of the proportion of Duroc genes on the characteristics of seasoned Parma hams by means of a covariance model. The study was carried out on 167 pigs (87 castrated males, 80 females) from different crosses among Duroc (D), Large White (LW) and Landrace (L) breeds, slaughtered at 300 d of age (live weight 170 kg). All pigs were raised under similar conditions. The curing period was 380 days. The proportion of Duroc genes was 0% (LWxL; n. 33), 25% [(LWx(DxL); n. 31 and Lx(DxLW); n. 35)] and 50% [Dx(LWx(LWxL)); n. 68]. The increase in the proportion of Duroc genes had a positive linear effect (P<0.01) and a negative quadratic effect (P=0.01) on the yield of deboned ham while ham fat thickness decreased linearly (P=0.07) and increased quadratically (P<0.01). A higher proportion of Duroc genes was also linearly associated with a lower lightness (P<0.01) and a less yellow color (P=0.09) of the biceps femoris muscle; positive quadratic coefficients have been shown for lightness (P<0.01), yellowness (P=0.01) and hue (P=0.03). The chemical composition of the semitendinosus muscle featured a linear increase in moisture (P<0.01) and decrease in fat (P=0.03) and non protein nitrogen (P=0.01) content, in addition to significant quadratic effects with an increase in the proportion of Duroc genes. In conclusion, crossbreeding with the Duroc breed (up to 50%) makes it possible to obtain positive quality characteristics of cured Parma ham.
Effect of sex and season of birth on Gompertz growth curve parameters in “Nero di Parma” pigs
Alberto Sabbioni,Valentino Beretti,Raffaele Manini,Claudio Cervi
Italian Journal of Animal Science , 2010, DOI: 10.4081/ijas.2009.719
Abstract: The growth curves of “Nero di Parma” pigs were studied by applying the Gompertz equation to 1069 body weight (BW) records from 285 pigs (156 females, 129 castrated males) born in 11 outdoor and 5 indoor herds; pigs were fed commercial complete feeds offered ad libitum and, on a limited basis in the outdoor system, diets were integrated with pasture. The parameters of the Gompertz equation were compared with reference to sex and season of birth. Mature BW for castrated males (229.0 kg) was 3.5% greater than that for females (221.3 kg) (P<0.05), but growth rate was 7.6% lower (7.38*10-3 vs 7.99*10-3, respectively) (P<0.05) and age at maturity (205.7 vs 189.6 d, respectively) was 16.1 d greater (P<0.05). Summer and winter born pigs showed a lower mature BW (P<0.05) than those born in other seasons. Summer born pigs grew slower than those born in spring (9.57%), winter (9.58%) and autumn (21.47%) (P<0.05). Earlier maturing pigs were those born in autumn, followed by those born in winter, spring and summer, respectively. Regardless of sex and season of birth, pigs showed their maximum ADG (ADGmax) of 635 g/d at 82.6 kg BW. Castrated males have a lower ADGmax than females (622 vs 650 g/d) at a heavier weight (84.2 vs 81.4 kg). Autumn born pigs showed the highest ADGmax (695 g/d), reached at 84.9 kg BW. The growth performance of “Nero di Parma” pigs is greater than those reported for Italian domestic pig breeds. The significant effect of the studied environmental factors on the growth curve in this genetic type will make it possible to choose the best rearing conditions in relation to its usual weight at slaughter (>180 kg).
Effect of Duroc genes proportion on growth performance and on carcass and meat quality characteristics in heavy pigs
Alberto Sabbioni,Paola Superchi,Claudia Sussi,Alberto Bonomi
Italian Journal of Animal Science , 2010, DOI: 10.4081/ijas.2002.17
Abstract: By means of the application of covariance models, the linear effects of the proportion of Duroc genes were evaluated with respect to growth (from 6 to 170 kg live weight) and feed/gain ratios, as well as carcass (lean cuts, adipose cuts, linear measures, backfat thickness, loin area and lean percentage) and meat quality (L* a* b* colour, reflectance, electrical conductivity, pH) in 167 heavy pigs (87 castrated males, 80 females) from different crosses of Duroc (D), Large White (LW) and Landrace (L) breeds, from 25 to approximately 300 d of age. The pigs were weighed at 25, 105, 170, 235 d and at the end of the trial (298 ± 6 d of age), and were raised under the same conditions. The proportion of Duroc genes was 0% (LWxL; no. 33), 25% [(LWx(DxL); n. 31 and Lx(DxLW); n. 35)] and 50% [Dx(LWx(LWxL)); n. 68]. The increase in the proportion of Duroc genes negatively affected the live weight at the different ages (P<0.05), but the weight at slaughtering was not affected (P>0.10). In fact, during the final phase (from 120 to 170 kg l.w.) the effect of the Duroc breed on daily gain became positive (P=0.08), and the feed/gain ratios were significantly lower (P=0.02). The carcass composition was not significantly influenced by the increase in the proportion of Duroc genes, with the exception of a rise in the weight of neck (P<0.01) and flare fat (P=0.02) and a reduction of ham (P=0.09). Carcass length resulted lower as the proportion of Duroc genes increased (P<0.01); at 24 h from slaughtering, meat colour showed lower values for lightness (P=0.08), redness (P=0.02) and yellowness (P=0.03).
Hydrolyzable and fermentable carbohydrates in North Italian pastures for horses
Paola Superchi,Alberto Sabbioni,Valentino Beretti,Ilaria Vecchi
Italian Journal of Animal Science , 2010, DOI: 10.4081/ijas.2010.e66
Abstract: Digestive and metabolic disorders in the horse were previously associated with hydrolyzable and nonhydrolyzable but rapidly fermentable components of nonstructural carbohydrates, particularly fructans. Aim of the study was to assess the contribution of the carbohydrate fractions to the composition of pastures in specific areas of Italy ordinarily designed for horses feeding. Seventy-seven samples from 11 pastures differing for floristic composition were collected across two growing seasons from April 18th 2008 to May 10th 2009 in the foothills (380 m a.s.l.) of the province of Parma (Italy). All samples were collected during the vegetative growth phase. To identify the bioclimatologic conditions of the growth, the average fortnightly thermohygrometric index (THI) was used. Slow fermentable carbohydrates mean concentration (NDF: 510.6, ADF: 274.7, ADL: 31.5 g/kg DM) reflected the typical chemical composition of high-quality grass and grass-legume mixtures. Among the nonstructual carbohydrates (NSC 199.9 g/kg DM), hydrlolyzable carbohydrates content accounted for about the 18%. Nonhydrolyzable but rapidly fermentable carbohydrates were constituted for about the 23% by fructans (37.7 g/kg DM, range 15.5 to 138.2). The environmental conditions significantly affected the carbohydrate concentration in forages. Between NSC, fructans concentration in pastures was affected by bioclimatologic conditions (P<0.05). The floristic composition influenced the fructans content at a lesser extent. These results indicate a high variability of fructans concentration and reflect what previously observed in other areas. In any case the high levels observed for fructans in some geographic areas are not been achieved. Further interdisciplinary studies in this area between veterinarians and forage researchers is clearly warranted.
Milk production and lactation curves of Bianca Val Padana and Italian Friesian dairy cows in relation to the management system
Alberto Sabbioni,Valentino Beretti,Luigi Tardini,Sandra Vezzali
Italian Journal of Animal Science , 2012, DOI: 10.4081/ijas.2012.e26
Abstract: The aim of this study was to evaluate milk production and lactation curve parameters of Bianca Val Padana (BVP) and Italian Friesian (IF) cattle reared in the same herds in relation to different housing-feeding systems. Therefore, 8488 test-day records of 103 BVP and 367 IF cows from 7 herds were used; 2 herds had free stalls and total mixed ration feeding (FS-TMR group) and 5 had tie stalls and traditional feeding (TS-TF group). Data for milk production (kg), fat, protein, lactose production (kg) and content (%), and somatic cell score (SCS) were submitted to analysis by ANOVA, using a model with breed, housingfeeding type, test day, herd within housingfeeding type, season of calving, lactation number, class of days in milk, and two- and threeway interactions as fixed factors. A mixed model according to Wood’s equation in linear form was also performed. Interactions between breed and type of housing-feeding were always significant (P<0.05), except for milk fat percentage and SCS. Daily milk, fat, protein and lactose productions were lower in TS-TF compared to FS-TMR, but the reduction was significantly higher (P<0.05) in IF than in BVP. Protein percentage showed an opposite trend in the two breeds depending on the type of housing-feeding. The lactation curves were continuously decreasing for BVP in FS-TMR housing-feeding type. In TS-TF rearing conditions, BVP showed an earlier week at peak and a lower peak production than IF. In conclusion, BVP seems to be better adapted to TS-TF rearing conditions than IF.
Application of different growth models to “Nero di Parma” pigs
Alberto Sabbioni,Valentino Beretti,Raffaele Manini,Claudio Cervi
Italian Journal of Animal Science , 2010, DOI: 10.4081/ijas.2009.s2.537
Abstract: The growth curves of 280 “Nero di Parma” pigs from birth to maturity were calculated by applying nine different models (regressions from 1st to 4th degree and nonlinear regressions following the Brody, Logistic, Janoschek, Bertalannfy and Gompertz models) to 1109 individual records of body weight (BW) from two different data sets. The goodness of fit of experimental data was calculated by means of Residual Variance, Akaike Information Criterion, Residual Standard Deviation and R2. The best fit was obtained by Gompertz equation, as follows: BW(kg)= 240.2±2.4 * esp (-exp (-0.0069±0.0001*(age(d)–213.5±3.1))). Regardless to the model, all correlations between actual and estimated BW were highly significant (P<0.001): the highest correlation (0.980) was obtained by the application of the Gompertz equation. In conclusion the growth of “Nero di Parma” pigs can be well described by applying the Gompertz model to field data.
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