Publications by authors named "B Portolano"

Visna/Maedi virus (VMV) is lentiviral disease of sheep responsible for severe production losses. Multiple genomic regions associated with infection were reported indicating genetic complexity. In this study, a combined genome-wide approach using a high-density SNP array has been performed, comparing VMV-infected ( = 78) and non-infected ( = 66) individuals of the Valle del Belice breed.

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With more than 150 recognized breeds, donkeys assume relevant economic importance, especially in developing countries. Even if the estimated number of heads worldwide is 53M, this species received less attention than other livestock species. Italy has traditionally been considered one of the cradles of European donkey breeding, and despite a considerable loss of biodiversity, today still counts nine autochthonous populations.

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Article Synopsis
  • - The study aimed to create a new type of cheese, called "Ewiss cheese" (EC), using sheep milk while employing traditional Swiss cheese technology, producing two variations with raw milk (RM) and pasteurized milk (PM).
  • - Microbiological analyses showed no significant differences in lactic acid bacteria between the RM-EC and PM-EC, with both types having mainly mesophilic LAB cocci initially, but shifting to LAB rods after 9 months of ripening.
  • - The resulting cheeses had different textural properties and compositions—RM-EC had higher protein and lactic acid content, while PM-EC had more propionic acid, and both emitted 46 diverse volatile compounds.
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Heterozygosity-rich regions (HRR) are genomic regions of high heterozygosity, which may harbor loci related to key functional traits such as immune response, survival rate, fertility, and other fitness traits. This study considered 30 Italian and 19 worldwide goat breeds genotyped with the Illumina GoatSNP50k BeadChip. The aim of the work was to study inter-breed relationships and HRR patterns using Sliding Window (SW) and Consecutive Runs (CR) detection methods.

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Differential somatic cell count (DSCC), the percentage of somatic cell count (SCC) due to polymorphonuclear leukocytes (PMNs) and lymphocytes (LYMs), is a promising effective diagnostic marker for dairy animals with infected mammary glands. Well-explored in dairy cows, DSCC is also potentially valid in sheep, where clinical and subclinical mastitis outbreaks are among the principal causes of culling. We pioneered the application of DSCC in dairy ewes by applying receiver-operating characteristic (ROC) curve analysis to define the most accurate thresholds to facilitate early discrimination of sheep with potential intramammary infection (IMI) from healthy animals.

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