Carcass Yields and Meat Composition of Roosters of the Portuguese Autochthonous Poultry Breeds: "Branca", "Amarela", "Pedrês Portuguesa", and "Preta Lusitânica".

Poultry meat is an important part of the human diet, and the valorisation of autochthonous breeds is a determinant for the sustainability of the rural areas. The increasing demand for niche products demands for better knowledge of the carcass characteristics and meat quality of these local populations. The present study aims to characterise the roosters' meat from the "Branca" (BR), "Amarela" (AM), "Pedrês Portuguesa" (PP), and "Preta Lusitânica" (PL) breeds.

Carcass and Meat Quality Traits of Males and Females of the "" Portuguese Autochthonous Chicken Breed.

The "Branca" breed is a dual-purpose Portuguese autochthonous chicken breed, produced in extensive systems and in small flocks, especially in the Entre Douro and Minho regions. A total of 40 birds (n = 20/sex) were slaughtered between 38 and 42 weeks (males) and 110 and 120 weeks (females), and carcass and meat quality parameters were evaluated. The results showed significantly higher weights and differences for males between sexes and pieces ( ≤ 0.

Chemical Composition of the "Galo de Barcelos" (Barcelos Rooster Raw Meat).

Ten roosters produced according to "Barcelos Confraria" rules and ten roosters of autochthonous "Amarela" breed, reared on a similar traditional production system, were analyzed, and the chemical profile of two of the most significant meat portions, breast and drumstick, was determined. The results demonstrated that the "Barcelos" rooster raw meat is rich in proteins (22.3%) and fat (4.

Using linear algebra for protein structural comparison and classification.

In this article, we describe a novel methodology to extract semantic characteristics from protein structures using linear algebra in order to compose structural signature vectors which may be used efficiently to compare and classify protein structures into fold families. These signatures are built from the pattern of hydrophobic intrachain interactions using Singular Value Decomposition (SVD) and Latent Semantic Indexing (LSI) techniques. Considering proteins as documents and contacts as terms, we have built a retrieval system which is able to find conserved contacts in samples of myoglobin fold family and to retrieve these proteins among proteins of varied folds with precision of up to 80%.