Chato Murciano pig breed: genetic and ethnozoological characterization

2006 ◽  
Vol 38 ◽  
pp. 77-86 ◽  
Author(s):  
B. Peinado ◽  
J.L. Vega-Pla ◽  
M.A. Martínez ◽  
M. Galián ◽  
C. Barba ◽  
...  
Keyword(s):  
Morphological Characterization ◽  
Data Sets ◽  
Large White ◽  
Data Set ◽  
Genetic Studies ◽  
Original Population ◽  
Accuracy And Precision ◽  
Qualitative Variables ◽  
Made In

SummaryThe Chato Murciano is the only surviving breed of pig of those historically farmed in the region of Murcia for their quality meat. At present, it is on the verge of extinction, having a population of only 260 reproductive animals. This paper describes the genetic studies made in the conservation and recovery programme of this breed of pig. A study of the morphological characterization of these animals was carried out first, measuring thirteen quantitative and six qualitative variables in a sample of 24 adult animals, 8 males and 16 females.Subsequently, investigation was made of the consanguinity of the individuals and of the population as well as the future influence of inbreeding in each generation. Finally, the accuracy and precision of the heterozygote-excess method was evaluated using two data sets from the Chato Murciano pig. One data set is an original population and the other is a F3+F4+F5 generation of a line created from mating a Chato Murciano female with a Large White boar as part of an absorption programme based on backcrosses with Chato Murciano boars.

Additive and heterotic breed effects in the genetic evaluation of pig sire breeds

2006 ◽  
Vol 82 (4) ◽  
pp. 455-462 ◽  
Author(s):  
J. Wolf ◽  
D. Peškovičová ◽  
E. Žáková ◽  
E. Groeneveld
Keyword(s):  
Average Daily Gain ◽  
Field Performance ◽  
Breeding Value ◽  
Data Sets ◽  
Large White ◽  
Data Set ◽  
Meat Content ◽  
Value Estimation ◽  
A Minor ◽  
Daily Gain

AbstractThe data sets consisted of field performance data from 54 848 purebred and 16 175 crossbred animals (Czech data set, CZ) and 16 610 purebred and 9 228 crossbred animals (Slovak data set, SK). Animals from the following breeds were included: Duroc, Hampshire, Piétrain, sire line of Large White (CZ) or Yorkshire (SK), Czech Meat pig (CZ) or Slovak Meat pig (SK), Belgian Landrace (SK). Two-trait animal models were calculated for average daily gain from birth to the end of the field test (ADG) and lean meat content (LM, only in CZ) or backfat thickness (BF, only in SK). The models included additive breed and breed heterotic effects. Piétrain was the breed with the highest LM and the lowest BF. The additive genetic breed effect was about 1·5% LM (CZ) in comparison with Large White or −0·4 mm BF (SK) in comparison to Yorkshire. The sire line of Large White (CZ) or the Yorkshire breed (SK) clearly exceeded all the remaining sire breeds in ADG (on average by 30 to 50 g/day). There was a clear tendency to negative heterosis in LM in all crossbred combinations (CZ). In BF, heterotic effects between −0·2 mm and +0·3 mm were estimated, mostly not being significant (SK). The estimates of the heterotic effects for ADG were positive throughout. Higher values up to 40 g/day (7%) were observed in the Czech data set. Though heterotic breed effects are of some importance especially for ADG, their inclusion in the equations for breeding value estimation will have only a minor impact on the predicted breeding values.

scholarly journals LIANA Model Integration System - architecture, user interface design and application in MOIRA DSS

2005 ◽  
Vol 4 ◽  
pp. 9-16 ◽  
Author(s):  
D. Hofman
Keyword(s):  
Decision Support ◽  
User Interface ◽  
Interface Design ◽  
Model Integration ◽  
Data Sets ◽  
Data Set ◽  
Integration System ◽  
Rapid Construction ◽  
Environmental Decision Support Systems ◽  
Made In

Abstract. The LIANA Model Integration System is the shell application supporting model integration and user interface functionality required for the rapid construction and run-time support of the environmental decision support systems (EDSS). Internally it is constructed as the framework of C++ classes and functions covering most common tasks performed by the EDSS (such as managing of and alternative strategies, running of the chain of the models, supporting visualisation of the data with tables and graphs, keeping ranges and default values for input parameters etc.). EDSS is constructed by integration of LIANA system with the models or other applications such as GIS or MAA software. The basic requirements to the model or other application to be integrated is minimal - it should be a Windows or DOS .exe file and receive input and provide output as text files. For the user the EDSS is represented as the number of data sets describing scenario or giving results of evaluation of scenario via modelling. Internally data sets correspond to the I/O files of the models. During the integration the parameters included in each the data sets as well as specifications necessary to present the data set in GUI and export or import it to/from text file are provided with MIL_LIANA language. Visual C++ version of LIANA has been developed in the frame of MOIRA project and is used as the basis for the MOIRA Software Framework - the shell and user interface component of the MOIRA Decision Support System. At present, the usage of LIANA for the creation of a new EDSS requires changes to be made in its C++ code. The possibility to use LIANA for the new EDSS construction without extending the source code is achieved by substituting MIL_LIANA with the object-oriented LIANA language.

scholarly journals Diversity, Distribution and Morphological Characterization of Wild Macro Fungi from Gajni Forest

2020 ◽  
pp. 19-32
Author(s):  
D. R. B. Sonchita ◽  
F. M. Aminuzzaman ◽  
A. A. Joty ◽  
J. F. Tanni ◽  
M. N. Islam ◽  
...  
Keyword(s):  
Dominant Species ◽  
Morphological Characterization ◽  
The South ◽  
The North ◽  
Industrial Utilization ◽  
Wide Range ◽  
Made In

Survey on macro fungi was made in Gajni forest, Sherpur, Bangladesh which is located in between 24°18' and 25°18' north latitudes and in between 89°53' and 90°91' east longitudes. It is bounded by Meghalaya state of India on the north, Mymensingh and Jamalpur districts on the south with a wide range of ecosystem. The survey was conducted on July to December, 2018 to identify and preserve wood-rot causal macro fungi for future industrial utilization. Morphology of basidiocarp and characteristics of basidiospore were recorded. A total of 20 samples were collected and identified to 12 species belonging 7 families. Dominant species was Ganoderma species. The identified four species were from Ganodermataceae family and these were G. applanatum, G. lucidum, G. tropicum and G. lobetum. Other dominant genus was Russula. Other recorded genera were Hebeloma, Boletus, Phlebopus and Entoloma. Among them the highest frequency (85.72%) was recorded for G. applanatum and lowest frequency (7.14%) was recorded for Phlebopus marginatus. Similarly highest density (20.25%) was recorded for Agaricus sp. followed by G. lucidum (15.85%). The lowest density was (2.14%) was recorded for Phlebopus marginatus. Collected specimens were preserved in Sher-e-Bangla Agricultural University Herberium of Macro fungi (SHMF) for further study.

scholarly journals Molecular and morphological characterization of the grapevine cultivars “Italia” in the Ica and Cañete valleys (Peru)

2019 ◽  
Vol 12 ◽  
pp. 01017
Author(s):  
K. Mendoza ◽  
M.R. Torres ◽  
G.A. Aliquo ◽  
J.A. Prieto ◽  
M. Grados ◽  
...  
Keyword(s):  
Simple Sequence Repeat ◽  
Parentage Analysis ◽  
Morphological Characterization ◽  
Variety Identification ◽  
Morphological Descriptors ◽  
Greenish Yellow ◽  
The World ◽  
Simple Sequence ◽  
Made In

The denomination of “Uva de Italia” or “Italia” is commonly used by growers to refer to a group of varieties used from the colonial times to making a brandy of Pisco with muscat aroma. Previous work have demonstrated that Uva de Italia corresponds in fact to the variety Muscat of Alexandria, a widely spread variety around the world and in South America. However, the distinction between “Italia Dorada” and “Italia Rosada” is usually made, in allusion to the color variations observed in the berries. Our aim was to characterize 5 samples collected in vineyards from the valleys of Ica and Cañete. The genotypes were identified using 13 molecular markers of nuclear simple sequence repeat, and 23 morphological descriptors according to OIV. Our results showed that four genotypes were identified as Muscat of Alexandria while the other corresponded to variety well-known in Argentina as Moscatel Rosado or Uva Pastilla in Chile respectively. Moscatel Rosado showed functionally female flowers, with variable berries size and color in the range from greenish yellow through pink. This is the first identification of Moscatel Rosado as a variety present in the Peruvian vineyards and would allow its use in the pisco industry with distinctive aromatic characteristics. Keywords: Italia, Muscat of Alexandria, Moscatel Rosado, variety identification, parentage analysis, microsatellites, Pisco.

scholarly journals Regenerative potential of the Bichat fat pad determined by the quantification of multilineage differentiating stress enduring cells

2018 ◽  
Vol 62 (4) ◽  
Author(s):  
Giamaica Conti ◽  
Dario Bertossi ◽  
Elena Dai Prè ◽  
Chiara Cavallini ◽  
Maria Teresa Scupoli ◽  
...  
Keyword(s):  
Mesenchymal Cell ◽  
Cellular Level ◽  
Data Sets ◽  
Cellular Composition ◽  
Fat Pad ◽  
Cell Compartment ◽  
Data Set ◽  
Fat Pads ◽  
Scanning Electron

Published studies regarding Bichat fat pad focused, quite exclusively, on the implant of this adipose depot for different facial portions reconstruction. The regenerative components of Bichat fat pad were poorly investigated. The present study aimed to describe by an ultrastructural approach the Bichat fat pad, providing novel data at the ultrastructural and cellular level. This data sets improve the knowledge about the usefulness of the Bichat fat pad in regenerative and reconstructive surgery. Bichat fat pads were harvested form eight patients subjected to maxillofacial, dental and aesthetic surgeries. Biopsies were used for the isolation of mesenchymal cell compartment and for ultrastructural analysis. Respectively, Bichat fat pads were either digested and placed in culture for the characterization of mesenchymal stem cells (MSCs) or, were fixed in glutaraldehyde 2% and processed for transmission or scanning electron microscopy. Collected data showed very interesting features regarding the cellular composition of the Bichat fat pad and, in particular, experiments aimed to characterized the MSCs showed the presence of a sub-population of MSCs characterized by the expression of specific markers that allow to classify them as multilineage differentiating stress enduring cells.  This data set allows to collect novel information about regenerative potential of Bichat fat pad that could explain the success of its employment in reconstructive and regenerative medicine.

The Impact of Site Sample Size on the Reconstruction of Culture Histories

2011 ◽  
Vol 76 (3) ◽  
pp. 547-572 ◽  
Author(s):  
Charles Perreault
Keyword(s):  
Simulated Data ◽  
Archaeological Sites ◽  
Cultural Tradition ◽  
Data Sets ◽  
Data Set ◽  
Rate Of Spread ◽  
Accuracy And Precision ◽  
Historical Processes ◽  
The Impact ◽  
Simulated Data Sets

I examine how our capacity to produce accurate culture-historical reconstructions changes as more archaeological sites are discovered, dated, and added to a data set. More precisely, I describe, using simulated data sets, how increases in the number of known sites impact the accuracy and precision of our estimations of (1) the earliest and (2) latest date of a cultural tradition, (3) the date and (4) magnitude of its peak popularity, as well as (5) its rate of spread and (6) disappearance in a population. I show that the accuracy and precision of inferences about these six historical processes are not affected in the same fashion by changes in the number of known sites. I also consider the impact of two simple taphonomic site destruction scenarios on the results. Overall, the results presented in this paper indicate that unless we are in possession of near-total samples of sites, and can be certain that there are no taphonomic biases in the universe of sites to be sampled, we will make inferences of varying precision and accuracy depending on the aspect of a cultural trait’s history in question.

scholarly journals Morphological Characterization of Chicken Feather Rachis, Neem Sawdust, and High Density Polyethylene (HDPE) Reinforced Composite Material

2020 ◽  
Vol 44 (6) ◽  
pp. 399-406
Author(s):  
Gayatri Uppalapati ◽  
Srinivasarao Gunji ◽  
Ramakrishna Malkapuram
Keyword(s):  
High Density Polyethylene ◽  
High Strength ◽  
Morphological Characterization ◽  
High Density ◽  
Chicken Feather ◽  
Waste Products ◽  
Single Screw Extruder ◽  
Reinforced Composite ◽  
Made In

In this paper research was expanded on waste that can be recycled. There are so many different types of waste products available in our country that would ruin the environment. Three different products are considered to reduce some of the problems among them two are fibers and the other is polyethylene. Chicken feather rachis and Neem sawdust are the two different fibers and the reinforced material is high density polyethylene (HDPE). These materials are made as seven different compositions to find the ability of the sample in different characterizations. The seven compositions are 80H-10CF-10SD, 80H-5CF-15SD, 80H-15CF-5SD, 80H-20CF, 70H-30CF, 70H-30SD, 80H-20SD, and these compositions are made in CIPET, Hyderabad by using single screw extruder& strand pelletizer. These granules are prepared with the help of Injection moulding, the samples are examined by various testing to prove the ability, strength, structure of materials in individual, and combination forms. The testing conducted for the samples is that the Morphology of the sample was characterized using FESEM, XRD. It is examined that the ratios are light weight with high strength by using the testings and it gives perfect images without any cracks on the surface and no more defects among these ratios.

scholarly journals Examining the Difference Between Image Size, Background Color, Gray Picture and Color Picture in Leave Classification with Deep Learning

2020 ◽  
pp. 130-133
Author(s):  
Yunus Camgozlu ◽  
Yakup Kutlu
Keyword(s):  
Data Sets ◽  
Background Color ◽  
Image Size ◽  
Data Set ◽  
Color Picture ◽  
Black And White ◽  
Processing Power ◽  
The Difference ◽  
Day By Day ◽  
Made In

In academic studies, there are many factors that change depending on the changes in the parameters of the process, such as the processing time, the required processing power, as well as the success. In the methods used for classification, recognition, and detection, the changes in the data received as input may affect the result, as well as the variables specific to the methods used. Convolutional neural networks, whose use is increasing day by day in processes such as classification and recognition using images, learn and classify the characteristics of data sets in different image sizes, including color, gray or black and white images, with filters and functions on the layers in the model. Many different parameters such as layers in the created model and filters and functions in these layers can be changed. As a result of these changes, the most suitable number of layers, the optimum values for the parameters and functions in these layers are determined for the data set used. There are studies focused on optimizing many different structures, such as reproducing the images in the used data set or determining the best by testing different parameters in the classification method. In this study, while the changes were made in the leaf images with a fixed background in the determined leaf data set, the model used in leaf classification with convolutional neural network was kept constant. It is aimed to examine the pictures used for 3 different image sizes, the gray picture or color picture difference and the changes caused by the background color.

scholarly journals Morphological Characterization of Two Fresh Water Eels Monopterus cuchia (Hamilton, 1822) and Ophisternon bengalense (McClelland, 1844)

2016 ◽  
Vol 9 (1) ◽  
pp. 127-137
Author(s):  
PR Roy ◽  
NS Lucky ◽  
MAR Hossain
Keyword(s):  
Fresh Water ◽  
Morphological Characterization ◽  
Head Width ◽  
Meristic Characters ◽  
Morphometric Characters ◽  
Original Population ◽  
Body Diameter ◽  
Leave One Out

Morphometric and meristic characters and truss measurements of 32 Monopterus cuchia, and of 17 Ophisternon bengalense were compared to know the population status of two fresh water eels of Bangladesh. The mean numbers of line below head were significantly different between two species. Significant differences were observed in 11 morphometric characters: Pre dorsal length (PDL), Post dorsal length (PoDL), Post anal length (PoAL), Head length (HL), Snout length (SnL), Upper jaw length (UJL), Lower jaw length (LJL), Head width (HW), Pre orbital length (PrOrL), Least body diameter (LBD) and Highest body diameter (HBD) and one truss measurement (3-5) between two species in varying degrees. For both morphometric and landmark measurements, the first and second DF (discriminant function) accounted 64.8% and 33.2% of among group variability, explaining 98% of total group variability. M. cuchia collected from Mymensingh and from Dinajpur constructed one sub-cluster and O. bengalense collected from Sathkhira and from Bagerhat constructed another sub-cluster based on the Distance of squared Euclidean dissimilarity. A correct classification of individuals into their original population from leave-one-out-classification varied between 93.3% and 94.1% by discriminant analysis. The results of the present study suggested that there was limited intermingling among populations and the populations of the species were separated from one another.J. Environ. Sci. & Natural Resources, 9(1): 127-137 2016

MORPHOMETRICAL CHARACTERIZATION OF CYTISUS AND ALLIES (GENISTEAE: LEGUMINOSAE) AS AN AID IN TAXONOMIC DISCRIMINATION

1996 ◽  
Vol 44 (2-3) ◽  
pp. 95-114 ◽  
Author(s):  
Fernando González-Andrés ◽  
Jesús-María Ortiz
Keyword(s):  
Multivariate Analyses ◽  
Intermediate Position ◽  
Adult Plant ◽  
Data Sets ◽  
Data Set ◽  
Operational Taxonomic Units ◽  
Biochemical Studies ◽  
Seed Morphometry ◽  
Components Analysis

Twenty-four accessions belonging to the genus Cytisus and allied taxa were characterized by adult plant morphometry. Twenty-six characters were measured in flowers, 9 in leaves, and 5 in fruits. Two data sets were prepared, the first including only floral parameters and the second with all the parameters. Two different multivariate analyses were carried out for every data set: cluster analysis and principal components analysis. All these studies produced a similar grouping of the operational taxonomic units. Four clear groups were defined: (i) Cytisophyllum sessilifolium; (ii) Cytisus baeticus, C. reverchonii, C. scoparius., (iii) Chamaecytisus species; (iv) Genista species. On the other hand, Cytisus villosus showed an intermediate position between Cytisus and Chamaecytisus, and Cytisus heterochrous and C. purgans an intermediate position between Cytisus and Genista. This grouping agrees with that obtained by other recent seed morphometry and biochemical studies, and supports the generic arrangement presented by Bisby (1981).

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