1,721,031 research outputs found
Proposta di un modello di classificazione del colore del mantello nei gatti e sua interpretazione genetica.
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Probiotica con batteri lattice. Esperienze sul vitello.
No full textValutazione dell'efficacia della somministrazione nei primi momenti dalla nascita di un ceppo di Streptococcus faecium e Streptococcus faecalis sullo stato di salute e sulle prestazioni produttive del vitello. La prova ha ridotto la morbilità di forme enteriche ed il consumo alimentar
Genome-wide scan for runs of homozygosity in South American Camelids
Full text linkBackground: Alpaca (Vicugna pacos), llama (Lama glama), vicugna (Vicugna vicugna) and guanaco (Lama guanicoe), are the camelid species distributed over the Andean high-altitude grasslands, the Altiplano, and the Patagonian arid steppes. Despite the wide interest on these animals, most of the loci under selection are still unknown. Using whole-genome sequencing (WGS) data we investigated the occurrence and the distribution of Runs Of Homozygosity (ROHs) across the South American Camelids (SACs) genome to identify the genetic relationship between the four species and the potential signatures of selection. Results: A total of 37 WGS samples covering the four species was included in the final analysis. The multi-dimensional scaling approach showed a clear separation between the four species; however, admixture analysis suggested a strong genetic introgression from vicugna and llama to alpaca. Conversely, very low genetic admixture of the guanaco with the other SACs was found. The four species did not show significant differences in the number, length of ROHs (100-500 kb) and genomic inbreeding values. Longer ROHs (> 500 kb) were found almost exclusively in alpaca. Seven overlapping ROHs were shared by alpacas, encompassing nine loci (FGF5, LOC107034918, PRDM8, ANTXR2, LOC102534792, BSN, LOC116284892, DAG1 and RIC8B) while nine overlapping ROHs were found in llama with twenty-five loci annotated (ERC2, FZD9, BAZ1B, BCL7B, LOC116284208, TBL2, MLXIPL, PHF20, TRNAD-AUC, LOC116284365, RBM39, ARFGEF2, DCAF5, EXD2, HSPB11, LRRC42, LDLRAD1, TMEM59, LOC107033213, TCEANC2, LOC102545169, LOC116278408, SMIM15, NDUFAF2 and RCOR1). Four overlapping ROHs, with three annotated loci (DLG1, KAT6B and PDE4D) and three overlapping ROHs, with seven annotated genes (ATP6V1E1, BCL2L13, LOC116276952, BID, KAT6B, LOC116282667 and LOC107034552), were detected for vicugna and guanaco, respectively. Conclusions: The signatures of selection revealed genomic areas potentially selected for production traits as well as for natural adaptation to harsh environment. Alpaca and llama hint a selection driven by environment as well as by farming purpose while vicugna and guanaco showed selection signals for adaptation to harsh environment. Interesting, signatures of selection on KAT6B gene were identified for both vicugna and guanaco, suggesting a positive effect on wild populations fitness. Such information may be of interest to further ecological and animal production studies
La pecora Mascherina: origine, biometria, produzione e rilievi alla macellazione; profili genotipici e fenotipici.
No full textEstimates of non-genetic effects for measures of hunting performance in short-haired and rough-haired Italian hound
Full text linkThe aim of this work was to estimate the effects of eight non-genetic factors (sex, type of coat, pigmentation, type of the trial, the number of the judges in the jury, the location where the competition took place, the subjectivity of the judge and the breeders) on the assessment of seven hunting traits (morphology, the breed style, search, approach, find, pursuit and voice) for the short-haired and rough-haired Italian Hound. The data consisted of 3172 field trial records between the years 2016 and 2017. The Mann–Whitney test and Kruskal–Wallis test showed that each factor was statistically significant for some traits: the sex of the dogs was statistically significant only for the evaluation of the morphology the type of coat for breed style, search, approach, find and voice; the pigmentation for all traits excluding approach; the number of judges for morphology, approach and find; the type of trial for all traits excluding voice. Spearman’s ρ (rho) correlation showed that high phenotypic correlations were between morphology, breed style and search. These traits showed low to moderate correlations with the other traits except breed style and search vs. pursuit. Furthermore, principal component analysis for the factor judge, location and breeders showed that among the seven traits assessed during the trials, the morphology and the breed style had the highest loading on the final score. Our results suggest that the effect of all the non-genetic factors analysed must be taken into account by the judges during the evaluation of the dogs.Highlights We evaluated the effects of eight non-genetic factors on the assessment of seven hunting traits for the Italian Hound. All the non-genetic factors had influence on some of the hunting traits considered. Principal component analysis showed that the highest loading for morphology and breed style are on location, judge and breeder. High phenotypic correlations were between morphology, breed style, search and pursuit
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