scholarly journals SNPs in Sheep: Characterization of Lithuanian Sheep Populations

Animals ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 2651
Author(s):  
Ruta Sveistiene ◽  
Miika Tapio
Keyword(s):  
Genetic Relatedness ◽  
Population Analysis ◽  
Geographical Area ◽  
Principal Component ◽  
Local Breed ◽  
Model Based Clustering ◽  
Sheep Breeds ◽  
Shared Ancestry ◽  
Native Sheep

In Lithuania, there are two recognised native sheep breeds: old native Lithuanian Coarsewooled and Lithuanian Blackface. In addition, in 2005, primitive Heidschnucke-type Skudde sheep were imported to Lithuania and were argued to possibly represent a lost Lithuanian sheep type. The aim of the study was to investigate the genetic variation in the two Lithuanian native sheep breeds, compare them with the imported Skudde sheep and establish the historical patterns of admixture and the genetic relatedness of Lithuanian sheep to British, Central European and Nordic sheep breeds included in the SheepHapMap study. In total, 72 individuals, representing two Lithuanian native and imported Skudde sheep breeds, were genotyped using a Neogen 12K Illumina Infinium chip. The population analysis was carried out by model-based clustering, principal component analysis and neighbour net analysis, and showed similar patterns for the Lithuanian sheep populations. Lithuanian Coarsewooled and Skudde in Lithuania have unique divergence and possibly some shared ancestry, while the Lithuanian Blackface conforms to a modern synthetic breed. The study clearly showed that the Coarsewooled and the Skudde breeds are distinct from each other. Historical data strongly suggest that the Coarsewooled breed represents a local breed, while the Skudde origin is less directly linked to the geographical area of modern-day Lithuania. Within the modern-day Lithuanian context, the Lithuanian Coarsewooled sheep is very important historical sheep type for conservation.

scholarly journals Genetic Characterization of Kazakh Native Sheep Breeds Using Mitochondrial DNA

2018 ◽  
Vol 18 (3) ◽  
pp. 341-348 ◽  
Author(s):  
Ilmira Mukhametzharova ◽  
Yessenbay Islamov ◽  
Saukymbek Shauyenov ◽  
Dulat Ibrayev ◽  
Sabina Atavliyeva ◽  
...  
Keyword(s):  
Mitochondrial Dna ◽  
Genetic Characterization ◽  
Sheep Breeds ◽  
Native Sheep

A Preliminary Characterization of Wools from Italian Native Sheep Breeds: Opportunities for New Productions and the Development of Rural Areas

2015 ◽  
Vol 12 (3) ◽  
pp. 265-275 ◽  
Author(s):  
Francesca Camilli ◽  
Alfonso Crisci ◽  
Antonio Mauro ◽  
Laura Bacci ◽  
Sara Di Lonardo ◽  
...  
Keyword(s):  
Rural Areas ◽  
Preliminary Characterization ◽  
Sheep Breeds ◽  
Native Sheep

Y chromosomal characterization of Turkish native sheep breeds

2011 ◽  
Vol 136 (2-3) ◽  
pp. 277-280 ◽  
Author(s):  
Y. Oner ◽  
J.H. Calvo ◽  
C. Elmaci
Keyword(s):  
Sheep Breeds ◽  
Native Sheep

scholarly journals Volatile and Non-Volatile Characterization of White and Rosé Wines from Different Spanish Protected Designations of Origin

Beverages ◽  
2021 ◽  
Vol 7 (3) ◽  
pp. 49
Author(s):  
Rubén del Barrio Galán ◽  
Héctor del Valle-Herrero ◽  
Marta Bueno-Herrera ◽  
Pedro López-de la Cuesta ◽  
Silvia Pérez-Magariño
Keyword(s):  
Geographical Area ◽  
Principal Component ◽  
Ethyl Esters ◽  
Grape Variety ◽  
Protected Designation Of Origin ◽  
Grape Varieties ◽  
Protected Designations Of Origin ◽  
The Rose

The quality of wines has often been associated with their geographical area of production, as well as the grape variety used in their elaboration. Many research studies have been carried out to characterize and differentiate between red wines labeled with Protected Designation of Origin (PDO) from different geographical areas, but very few have been carried out on white and rosé wines. The objective of this work was to characterize white and rosé PDO wines from different geographical areas of Spain very close to each other elaborated with different grape varieties and select the variables that most contribute to their differentiation. Analysis of variance (ANOVA) and principal component analysis (PCA) were used as statistical methods. The ethanol content was the nonvolatile variable that most contributed to differentiating between some of the white and rosé wines according to their PDO. The white wines from RD (Ribera del Duero) and BI (Bierzo) were characterized by a high terpenic content (floral notes) while the wines from RU (Rueda), TO (Toro) and CI (Cigales)by a high content of ethyl esters and alcohol acetates (fruity aromas). The rosé wines elaborated with the Mencía grape variety from BI were characterized by their highest polysaccharidic content, which could have a positive sensory effect on the mouthfeel. The rosé wines from CI were characterized by their volatile profile complexity, having the highest content of volatile compounds from the oak wood, terpenes and C6 alcohols which provide pleasant woody, floral and herbaceous aromas. On the contrary, the RD wines were richest in alcohol acetates responsible for fruity aromas.

scholarly journals SNP genotyping and population analysis of five indigenous Kazakh sheep breeds

2020 ◽  
Author(s):  
Alexandr Pozharskiy ◽  
Aigerim Khamzina ◽  
Dilyara Gritsenko ◽  
Zhangylsyn Khamzina ◽  
Shinara Kassymbekova ◽  
...  
Keyword(s):  
Population Analysis ◽  
Molecular Genetic ◽  
Principal Component ◽  
Snp Genotyping ◽  
Domestic Sheep ◽  
Sheep Breeds ◽  
Close Relationship ◽  
Different Populations ◽  
First Time ◽  
Important Branch

AbstractSheep husbandry is an important branch of agriculture in Kazakhstan. Modern agrarian and breeding science demands inclusion of molecular genetic and genomic data to supplement traditional methods. Here we used medium-scale SNP genotyping for the first time to determine the population structure of five local sheep breeds in Kazakhstan and their relation to global sheep diversity.Principal component analysis and model-based structure analysis of general population markers revealed two breed groups. The first group included Akzhayik and Kazak Fine-wool sheep and the second group had Edilbay, Saryarka and Kazakh Semi-coarse wool sheep. High heterogeneity of different populations of Akzhayik and Kazakh Semi-coarse wool sheep was observed. A neighborjoining tree comparing Kazakh sheep data with the dataset generated by the Sheep HapMap project supported a close relationship between Kazakh sheep varieties and ancient domestic sheep ancestors.

scholarly journals Neglected Wools: Fundamental Steps to Counteract the Loss of Potentially Valuable Materials Derived from Native Sheep Breeds

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Laura Bacci ◽  
Francesca Camilli ◽  
Sara Di Lonardo ◽  
Pierpaolo Duce ◽  
Enrico Vagnoni ◽  
...  
Keyword(s):  
National Level ◽  
Morphological Characterization ◽  
Added Value ◽  
Research Projects ◽  
Textile Processing ◽  
Sheep Breeds ◽  
Native Sheep ◽  
Set Up

In order to enhance the textile value of Italian native and local wools, research projects were carried out by starting mapping wools from some Italian sheep breeds through a preliminary morphological characterization of wool fibres. Furthermore, textile processing procedures differing from the commonly used woolling techniques have been set up. The results have shown that, at national level, native and local wools, beyond being more widely employed in the carpets production, could be also used in the higher added value sector of clothing and fashion.

Generic monitoring tools for water characteristics assessment

2003 ◽  
Vol 3 (1-2) ◽  
pp. 351-357
Author(s):  
S. Le Bonté ◽  
M.-N. Pons ◽  
O. Potier ◽  
S. Chanel ◽  
M. Baklouti
Keyword(s):  
Municipal Wastewater ◽  
Principal Component ◽  
Toxic Substances ◽  
Capacity Curves ◽  
Water Characteristics ◽  
Monitoring Tools ◽  
Visible Spectra ◽  
On Line ◽  
Mining Procedure

An adaptive principal component analysis applied to sets of data provided by global analytical methods (UV-visible spectra, buffer capacity curves, respirometric tests) is proposed as a generic procedure for on-line and fast characterization of wastewater. The data-mining procedure is able to deal with a large amount of information, takes into account the normal variations of wastewater composition related to human activity, and enables a rapid detection of abnormal situations such as the presence of toxic substances by comparison of the actual wastewater state with a continuously updated reference. The procedure has been validated on municipal wastewater.

scholarly journals Ni Oxidation State and Ligand Saturation Impact on the Capability of Octaazamacrocyclic Complexes to Bind and Reduce CO2

Molecules ◽  
2021 ◽  
Vol 26 (14) ◽  
pp. 4139
Author(s):  
Barbora Vénosová ◽  
Ingrid Jelemenská ◽  
Jozef Kožíšek ◽  
Peter Rapta ◽  
Michal Zalibera ◽  
...  
Keyword(s):  
Quantum Theory ◽  
Oxidation State ◽  
Central Atom ◽  
Population Analysis ◽  
Mulliken Population Analysis ◽  
Mulliken Population ◽  
Theoretical Methods ◽  
Ni Oxidation ◽  
Shed Light

Two 15-membered octaazamacrocyclic nickel(II) complexes are investigated by theoretical methods to shed light on their affinity forwards binding and reducing CO2. In the first complex 1[NiIIL]0, the octaazamacrocyclic ligand is grossly unsaturated (π-conjugated), while in the second 1[NiIILH]2+ one, the macrocycle is saturated with hydrogens. One and two-electron reductions are described using Mulliken population analysis, quantum theory of atoms in molecules, localized orbitals, and domain averaged fermi holes, including the characterization of the Ni-CCO2 bond and the oxidation state of the central Ni atom. It was found that in the [NiLH] complex, the central atom is reduced to Ni0 and/or NiI and is thus able to bind CO2 via a single σ bond. In addition, the two-electron reduced 3[NiL]2− species also shows an affinity forwards CO2.

scholarly journals A Methodology Based on FT-IR Data Combined with Random Forest Model to Generate Spectralprints for the Characterization of High-Quality Vinegars

Foods ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 1411
Author(s):  
José Luis P. Calle ◽  
Marta Ferreiro-González ◽  
Ana Ruiz-Rodríguez ◽  
Gerardo F. Barbero ◽  
José Á. Álvarez ◽  
...  
Keyword(s):  
Random Forest ◽  
Raw Materials ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Raw Material ◽  
Support Vector ◽  
Protected Designation Of Origin ◽  
Ft Ir

Sherry wine vinegar is a Spanish gourmet product under Protected Designation of Origin (PDO). Before a vinegar can be labeled as Sherry vinegar, the product must meet certain requirements as established by its PDO, which, in this case, means that it has been produced following the traditional solera and criadera ageing system. The quality of the vinegar is determined by many factors such as the raw material, the acetification process or the aging system. For this reason, mainly producers, but also consumers, would benefit from the employment of effective analytical tools that allow precisely determining the origin and quality of vinegar. In the present study, a total of 48 Sherry vinegar samples manufactured from three different starting wines (Palomino Fino, Moscatel, and Pedro Ximénez wine) were analyzed by Fourier-transform infrared (FT-IR) spectroscopy. The spectroscopic data were combined with unsupervised exploratory techniques such as hierarchical cluster analysis (HCA) and principal component analysis (PCA), as well as other nonparametric supervised techniques, namely, support vector machine (SVM) and random forest (RF), for the characterization of the samples. The HCA and PCA results present a clear grouping trend of the vinegar samples according to their raw materials. SVM in combination with leave-one-out cross-validation (LOOCV) successfully classified 100% of the samples, according to the type of wine used for their production. The RF method allowed selecting the most important variables to develop the characteristic fingerprint (“spectralprint”) of the vinegar samples according to their starting wine. Furthermore, the RF model reached 100% accuracy for both LOOCV and out-of-bag (OOB) sets.

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