Evaluation of Wool Quality Parameters of Polish Sheep Breeds

2021 ◽  
pp. 1-8
Author(s):  
Anna Kicinska- Jakubowska ◽  
Anna Morales Villavicencio ◽  
Malgorzata Zimniewska ◽  
Patrycja Przybylska ◽  
Edyta Kwiatkowska
Keyword(s):  
Quality Parameters ◽  
Sheep Breeds ◽  
Wool Quality

scholarly journals Schätzung genetischer Parameter für Landschafrassen

2004 ◽  
Vol 47 (4) ◽  
pp. 351-358
Author(s):  
F. De Vries ◽  
H. Hamann ◽  
O. Distl
Keyword(s):  
Muscle Mass ◽  
Fixed Effects ◽  
Genetic Correlations ◽  
Lower Saxony ◽  
Sheep Breeds ◽  
Performance Traits ◽  
Wool Quality ◽  
Variance And Covariance Components ◽  
Analysis Of Performance ◽  
Mass Type

Abstract. Title of the paper: Estimation of genetic parameters in land sheep breeds The objective of the present study was a genetic statistical analysis of performance traits recorded at the day of licensing in land sheep breeds. The performance traits score for muscle mass, type and wool quality were analysed for the breeds German Polled Heath, German Grey Heath, Bentheim, German White Heath and Coburg from breeding regions in Lower Saxony and Westphalia. Systematic fixed effects of herd-year-season, test day, sex, birth rearing type and the linear covariate age at licensing were included in the statistical models to estimate the variance and covariance components. There were high additive genetic correlations between muscle mass and type. The estimates of additive genetic correlations between wool quality and type or wool quality and muscle mass were moderate. The heritabilities estimated separately for each breed ranged between h2 = 0.06 and h2 = 0.16 for muscle mass and between h2 = 0.04 and h2 = 0.09 for type. The biggest range of heritabilities was estimated for wool quality with h2 = 0.03 to h2 = 0.14.

Utilisation of Garole sheep wool: a step towards the alleviation of poverty

2009 ◽  
Vol 45 ◽  
pp. 85-89 ◽  
Author(s):  
Sandip Banerjee
Keyword(s):  
Coastal Region ◽  
Quality Parameters ◽  
Significant Deterioration ◽  
Alternative Livelihood ◽  
Long Time ◽  
Wool Quality ◽  
Genetic Tolerance ◽  
Sheep Wool

SummaryGarole is a breed of sheep reared in the Sunderban region of India and Bangladesh. The animals of this breed are adapted to the hot and humid coastal region and are often seen grazing in water. Garole are reared as mutton sheep. The value of their wool is grossly ignored and presently wasted. The raw wool obtained from this breed can be stored for a long time without any significant deterioration in quality, that might be attributed to the genetic tolerance of the breed towards fleece rot. The wool quality parameters of Garole sheep indicate that the wool is coarse but has an excellent felting property. The raisers of these sheep are economically challenged members of the society, and handicrafts produced from the wool can assist in the alleviation of poverty as well as provide an alternative livelihood. An organisation has taken steps in scientific sheep rearing in the region and has assisted in training members of the community in the production of rugs from the wool. The organisation is also providing assistance in marketing the products developed on behalf of the beneficiaries.

The relationship between muscle fiber characteristics and some meat quality parameters in Turkish native sheep breeds

2017 ◽  
Vol 150 ◽  
pp. 46-51 ◽  
Author(s):  
Emre Şirin ◽  
Yüksel Aksoy ◽  
Mustafa Uğurlu ◽  
Ümran Çiçek ◽  
Alper Önenç ◽  
...  
Keyword(s):  
Meat Quality ◽  
Muscle Fiber ◽  
Quality Parameters ◽  
Sheep Breeds ◽  
Native Sheep ◽  
The Relationship

scholarly journals A review on some factors affecting wool quality parameters of sheep

2021 ◽  
Vol 21 (105) ◽  
pp. 18980-18999
Author(s):  
G Gelaye ◽  
◽  
B Sandip ◽  
T Mestawet
Keyword(s):  
Genetic Factors ◽  
Fibre Diameter ◽  
Quality Parameters ◽  
Quality Characteristics ◽  
Factors Affecting ◽  
Wool Quality ◽  
Physical And Chemical ◽  
Wool Wax ◽  
Staple Length

Wool is a natural fibre with a unique amalgamation of properties that are exploited in garment industry. The wool industry, in particular the production of fine wool, has a notable role in world trade and the price of the wool is dependent on quality. Accordingly, wool characteristics have direct impact on wool prices set by processors and industry. These properties can particularly benefit the wearer of the garment during exercise. There are different factors affecting wool quality parameters both with direct and indirect involvement. The environmental and genetics are the main factors affecting quality and quantity of wool from sheep. Infections related to skin and parasitic infestations have direct influence on the quality of wool. Breed or genotype is one of the main genetic factors that influences the product and productivity as well as quality of wool from sheep that is fleece from different sheep breeds is different in its both physical and chemical characteristics. Hormonal changes in relation to sex of sheep also have effect on the wool quality traits. The main objective of this review was to define and explore key wool characteristics, such as staple length, number of crimp, fibre type, fibre diameter, wool wax and scouring yield in regards to quality and interventions approaches for improving. In most of studies, non-genetic factors such as age, season, shearing period, shearing frequency and nutrition have a significant effect on traits viz. staple length, wool wax, scouring yield, fibre diameter and for other traits as well. Conducting a research on wool quality characteristics is an operative way of defining and differentiating the quality of wool. Acquiring knowledge of the wool quality characteristics can help to manage the end use products, consumers comfort and processing intensity. Therefore, an understanding of the factors affecting physical and chemical properties of wool traits is important to improve the quality of wool through genetics and management interventions. This article reviews some important quality attributes of wool for the product and productivity development and value addition.

Monitoring of essential oils during storage by selected quality parameters

Planta Medica ◽  
2010 ◽  
Vol 76 (12) ◽  
Author(s):  
C Turek ◽  
S Ritter ◽  
F Stintzing
Keyword(s):  
Essential Oils ◽  
Quality Parameters

Creating adaptive predictions for packaging-critical quality parameters using advanced analytics and machine learning

TAPPI Journal ◽  
2019 ◽  
Vol 18 (11) ◽  
pp. 679-689
Author(s):  
CYDNEY RECHTIN ◽  
CHITTA RANJAN ◽  
ANTHONY LEWIS ◽  
BETH ANN ZARKO
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
Predictive Analytics ◽  
Paper Industry ◽  
Quality Parameters ◽  
Fast Change ◽  
The Face ◽  
Model Tuning ◽  
Reducing Costs ◽  
Time Critical

Packaging manufacturers are challenged to achieve consistent strength targets and maximize production while reducing costs through smarter fiber utilization, chemical optimization, energy reduction, and more. With innovative instrumentation readily accessible, mills are collecting vast amounts of data that provide them with ever increasing visibility into their processes. Turning this visibility into actionable insight is key to successfully exceeding customer expectations and reducing costs. Predictive analytics supported by machine learning can provide real-time quality measures that remain robust and accurate in the face of changing machine conditions. These adaptive quality “soft sensors” allow for more informed, on-the-fly process changes; fast change detection; and process control optimization without requiring periodic model tuning. The use of predictive modeling in the paper industry has increased in recent years; however, little attention has been given to packaging finished quality. The use of machine learning to maintain prediction relevancy under everchanging machine conditions is novel. In this paper, we demonstrate the process of establishing real-time, adaptive quality predictions in an industry focused on reel-to-reel quality control, and we discuss the value created through the availability and use of real-time critical quality.

Quality of ram spermatozoa separated with modified swim up method

2018 ◽  
Vol 33 (2) ◽  
pp. 62-70 ◽  
Author(s):  
A Hossain ◽  
MM Islam ◽  
F Naznin ◽  
RN Ferdousi ◽  
FY Bari ◽  
...  
Keyword(s):  
Semen Quality ◽  
Membrane Integrity ◽  
Quality Parameters ◽  
Fluid Medium ◽  
Normal Morphology ◽  
The Mean ◽  
Mass Activity ◽  
Fresh Semen ◽  
Artificial Vagina

Semen was collected from four rams, using artificial vagina and viability%, motility% and plasma membrane integrity% were measured. Fresh ejaculates (n = 32) were separated by modified swim-up separation using modified human tubal fluid medium. Four fractions of supernatant were collected at 15-minute intervals. The mean volume, mass activity, concentration, motility%, viability%, normal morphology and membrane integrity% (HOST +ve) of fresh semen were 1.0 ± 0.14, 4.1 ± 0.1 × 109 spermatozoa/ml, 85.0 ± 1.3, 89.4 ± 1.0, 85.5 ± 0.7, 84.7 ± 0.5 respectively. There was no significant (P>0.05) difference in fresh semen quality parameters between rams. The motility%, viability% and HOST +ve % of first, second, third and fourth fractions were 53.4 ± 0.5, 68.2 ± 0.3, 74.8 ± 0.3 and 65.5 ± 0.4; 55.5 ± 0.4, 66.2 ± 0.4, 74.5 ± 0.3 and 73.6 ± 0.3 and 66.7 ± 0.5, 66.8 ± 0.5, 65.2 ± 0.4 and 74.7 ± 0.5 respectively. The motility%, viability% and membrane integrity% of separated semen samples differed significantly (P<0.05) between four fractions. The mean motility% and viability% were significantly higher (P<0.05) in third fraction (74.8 ± 0.3%), whereas the mean HOST +ve% was significantly higher (P<0.05) in fourth fraction (74.7 ± 0.5). All quality parameters of separated spermatozoa were significantly (P<0.05) lower than that of fresh semen. The pregnancy rates were higher with fresh semen (71%) in comparison to that of separated sample (57%).Bangl. vet. 2016. Vol. 33, No. 2, 62-70

Sign in / Sign up

Export Citation Format

Share Document