Genetic characterization of local breeds is essential to preserve their genomic variability, to advance conservation policies and to contribute to their promotion and sustainability. Genomic diversity of twenty European local pig breeds and a small sample of Spanish wild pigs was assessed using high density SNP chips. A total of 992 DNA samples were analyzed with the GeneSeek Genomic Profiler (GGP) 70 K HD porcine genotyping chip. Genotype data was employed to compute genetic diversity, population differentiation and structure, genetic distances, linkage disequilibrium and effective population size. Our results point out several breeds, such as Turopolje, Apulo Calabrese, Casertana, Mora Romagnola and Lithuanian indigenous wattle, having the lowest genetic diversity, supported by low heterozygosity and very small effective population size, demonstrating the need of enhanced conservation strategies. Principal components analysis showed the clustering of the individuals of the same breed, with few breeds being clearly isolated from the rest. Several breeds were partially overlapped, suggesting genetic closeness, which was particularly marked in the case of Iberian and Alentejana breeds. Spanish wild boar was also narrowly related to other western populations, in agreement with recurrent admixture between wild and domestic animals. We also searched across the genome for loci under diversifying selection based on FST outlier tests. Candidate genes that may underlie differences in adaptation to specific environments and productive systems and phenotypic traits were detected in potentially selected genomic regions.

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This study evaluates the potential of Fourier-Transform Near Infrared Spectroscopy (FT-NIRS) to estimate the chemical composition of fresh natural pastures of Tuscany without previous drying and grinding. Chemical composition of herbage samples is determined by applying usual chemistry. FT-NIRS calibration and cross-validation were developed applying spectra pre-treatment and two statistical models: partial least square regression and principal component regression. The results are evaluated in terms of coefficients of determination (R 2), root mean square error (RMSE) and residual prediction deviation (RPD). Calibration results, using partial least square models, obtained a R 2 in calibration greater than 0.95 for dry matter and crude protein, intermediate values (>0.75) for the fibre fraction and lower results for ash and crude fat (<0.75). The chemometric analysis shows lower results using principal component regression than partial least square models, although dry matter and acid detergent fibre obtained relatively high R 2 in calibration (0.876 and 0.863, respectively). Crossvalidation achieved both lower R 2 and higher errors than calibration. Despite the wide variability of the data set, the results suggest that coupling FT-NIRS with partial least squares analysis allows us to estimate some chemical parameters of natural pastures, while the use of principal component regression models needs further evaluation.

The objective of this work was to evaluate, under indoors and outdoors rearing, the effect of crossing Cinta Senese (CS) with Italian Large White (ILW) and Italian Duroc (ID) breeds. Starting from 72 d of age, 9 CS, 8 ILWxCS and 7 IDxCS were reared outdoors (OUT) in 3 paddocks of 2 ha and 8 CS, 10 ILWxCS and 8 IDxCS pigs were reared indoors (IN) in three pens of 20 m 2 . All pigs, fed the same commercial diets, were weighed and measured periodically and were slaughtered at a target live weight of 150 kg. Indoor-pigs grew faster than the outdoor ones and crossbred pigs showed higher average daily gain than CS breed (476, 437 and 387 g/d for IDxCS, ILWxCS and CS, respectively). Rearing system had moderate or null effect on carcass and sample cut composition whereas the OUT pigs, when compared to IN ones, showed higher moisture and lower IMF in Longissimus L. and Psoas M. muscles and higher cooking loss of meat (22.1 vs 18.4 %) that resulted also less red (a* 10.94 vs 12.04). CS had more fat in carcass and more bone in sample cut than the crossbreeds. ILWxCS showed lower IMF content and higher moisture in muscles and brighter and less red meat than the other breeds, while IDxCS produced the most tender meat after cooking. The use of Italian Duroc could be profitable on Cinta Senese to improve the farming performance without worsening the fresh meat quality.