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An Efficient Method for Making an Educational Program
3-8Views:72Distance education, a new teaching method widely-spread in higher education nowadays, requires the extent use of multimedia self-study educational programs besides the traditional means and methods.
Experience shows that besides certain types of software like encyclopedias, dictionaries, language manuals etc. there is an ever growing demand for appropriate educational programs that can be tailor made, adapted or modified for various kinds of students.
These programs reflect the teacher’s approach to the subject and contain the relevant, up-to-date information.
Since they are used in a relatively limited circle, usually within a faculty of an institution or within a single subject area, it is crucially important to be able to produce them with as little energy and time as possible.
There is a PhD research program, aiming at creating a flexible multimedia framework, that can be a possible solution to the problem. This framework can be easily filled with different teaching materials compiled by certain teachers without advanced knowledge of informatics. The framework itself is carefully designed and guarantees high quality. -
Changes in the genetic variability of the Furioso-North Star population between 1989 and 2019
61-65Views:143The Furioso-North Star (FNS) is one of the indigenous Hungarian horse breeds, originated from Mezőhegyes Stud. The aim of this work was to analyze the pedigree diversity and inbreeding of the registered Hungarian Furioso-North Star population in two different time points: the first was the active population in 1989, the second was the active population in 2019. Pedigree data was analyzed using Endog 4.8 software. The pedigree completeness was calculated in three different ways. In the past 30 years the pedigrees became more complete. In the population 2019 were 5 horses with ancestor in the 40th generation. Only 17–17 animals covered the 50% of the genetic variability for the two population. The most important ancestor was Herod xx in both reference populations. The FNS breed has English Thoroughbred background, that might be the reason of having several horses form this breed in the database. There were six animals among the ten most important ancestors in both reference populations. The average inbreeding coefficient was 3.31 in 1989 and 4.22 in 2019. Animals with highest inbreeding coefficient were born from the mating of close relatives (typically father-daughter). The Bart Furioso III-84 Boglár had the highest inbreeding coefficient (0.299) in the population 2019.
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The effect of immigration on some population genetic parameters of the Hungarian Hucul population
91-96Views:157Population genetic indicators of the Hungarian Hucul population were calculated taking also into account the effect of imported horses.The birth year of the examined 3002 individuals ranged between 1871–2015. The last year involved in the examination was 2015, when the research was conducted on the stock under stud book control. The calculations on the population were made using the statistic indicators in the Endog programme, with and without the imported Polish horses. Figures were depicted using R software. Number of offspring of the Polish individuals was presented in tables; the distribution of the offspring per stud and per mare family, as well as the Nei’s genetic distance,were presented graphically.
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Detection of DNA mutations by PCR-TTGE method
21-25Views:218In our study PCR-temporal temperature gelelectrophoresis (TTGE) and MeltINGENY bioinformatic program were used to analyse the mutations in the genes of melanocortin-1 receptor (MC1R) and pituitary adenylate-cyclase activating polypeptide (PACAP) in cattle. Amplification of target DNA by PCR was performed with GC-clamp primers and non-GC-clamp primers in simplex PCR reactions. The fragments were separated by denaturing polyacrylamide gelelectrophoresis (denaturing agents: high temperature, urea) after PCR reactions.MC1R homozygous individuals were used for the reaction.
We concluded that MeltINGENY program makes the decision and detection system easier, and more simple as the melting profile of target sequence is determined by the software. In case of MC1R gene, PCR-TTGE method is appropriate for SNP detection, however PACAP gene polymorphism can not be identified by the method, because PACAP mutations are not included in melting domains, therefore PCR-TTGE cannot detect them.
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Experiences of Establishing Up-To-Date On-Site Sampler Applications
210-241Views:99Spatial problems and spatial decisions are decisive in agricultural-environmental informatics systems and the solutions require systems that can collect, evaluate and display spatial data. The distinctive features of spatial informatics systems therefore have to be considered when establishing integrated spatial informatics systems.
However, the prepared spatial evaluations are not the only „added value” elements of a completed informatics system. The method of access can also speed up the work of participants and the whole system, making it more efficient with simple data-handling and the application of open standards. The significance of prepared database archives can also increase, since the accumulated data-assets are easy to utilize and become marketable. -
Development of an InDel marker set to establish hybridization between wild boar and domestic pig (Sus scrofa) breeds
21-25Views:311Wild boar and domestic pig breeds belong to the same species (Sus scrofa), so they can easily have viable offspring. This could be a problem in preserving the genetic lines of wild boars, keeping clean the food industry from lower-grade hybrid boar meat, and „producing” ethically questionable trophies, too. The aim of our study was to develop a cost-efficient, fast, easy and accurate marker set which can separate the wild boars from hybrids and domestic pig breeds.
The InDel markers were developed using 59 full pig genomes of 17 different breeds (e.g. Duroc, Large White, Landrace, Mangalica, wild boar). Sequence differences between the genomes of wild boars and domestic breeds were identified in variant call files, and verified using the IGV software. Wild boar, mangalica and duroc specific primers to amplify the chosen InDel regions were designed using Primer3.
After preliminary tests five markers were chosen, three wild boar specific, one Mangalica specific and one Duroc specific one. Fluorescently labelled primers were used to make the valuation easier and more accurate with capillary electrophoresis instead of gel-electrophoresis. The markers were optimised individually and in multiplex conditions and tested in samples of 11 breeds.
In conclusion, a new, faster and cheaper set was developed to separate the wild boars from the hybrids and domestic breeds. Based on the preliminary testing on wild boars, duroc and mangalica breeds zero samples resulted false negative, so it is 100% accurate. In addition, it is a much more cost- and time-effective way than testing every single sample with STR sets.
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Estimation of direct and maternal genetic parameters for weaning weight in Hungarian Simmental cattle
17-22Views:184The aim of the current research was to estimate variance components and genetic parameters of weaning weight in Hungarian Simmental cattle. Weaning weight records were obtained from the Association of Hungarian Simmental Breeders. The dataset comprised of 44,278 animals born from 1975 to 2020. The data was analyzed using the restricted maximum likelihood methodology of the Wombat software. We fitted a total of six models to the weaning weight data of Hungarian Simmental cattle. Models ranged from a simple model with animals as the only random effect to a model that had maternal environmental effects as additional random effects as well as direct maternal genetic covariance. Fixed effects in the model comprised of herd, birth year, calving order and sex. Likelihood ratio test was used to determine the best fit model for the data. Results indicated that allowing for direct-maternal genetic covariance increases the direct and maternal effect dramatically. The best fit model had direct and maternal genetic effects as the only random effect with non-zero direct-maternal genetic correlation. Direct heritability, maternal heritability and direct maternal correlation of the best fit model was 0.57, 0.16 and -0.78 respectively. The result indicates that problem of (co-)sampling variation occurs when attempting to partition additive genetic variance into direct and maternal components.
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Using of e-learning in agricultural training programs
117-124Views:86We use the Moodle at the University of Debrecen, Businessand Agricultural Department since January 2007. The Moodle is an open source Learning Management System. Learning Management System (or LMS) which is a software package, which enables the management and delivery of learning content and resources to students. Most LMS systems are web-based to facilitate „anytime, anywhere” access to learning content and administration. LMS tracks student progress in a course and indicates completions. At the least, learning management systems
track individual student progress, record scores of quizzes and tests within an online learning program, and track course completions. The Moodle has more and more function at our Department in education. In January we worked to introduce Moodle in our Faculty. Therefore, we took lessons for the tutors about the usage of the Moodle. Our aim was to develop such a learning system, which is an integral part of educational process,
to improve the efficiency of agricultural higher education. -
Using integrated remote sensing methods in the Nagyerdő Natura 2000 area
19-24Views:217The more widely use of GIS, remote sensing technology provides appropriate data acquisition and data processing tools to build several national and international biodiversity monitoring system of environmental protection and natur conservation. The ChangeHabitats 2 is a similar international project, which uses airborne hyperspectral and airborne laser scanning (airborne LiDAR) sources beyond traditional data collection methods to build a monitoring system of Natura 2000 habitats. The goal of our research, on one hand, was to separate the most typical species of trees which can be found in the largest coverage in the research plots of Debreceni Nagyerdő Nature Reserve from field and airborne remote sensing data, use image classification that based on spectral and geometry (height) characteristics of the trees. On the other hand our goal was to evaluate the efficient use of the integration of mobilGIS, airborne hyperspectral and airborne LiDAR data collecting methods to complement or substitut of the traditional, field data collecting methods. We used ArcGIS 10.2 and Exelis 5.0 GIS software for data evaluation, in which the mosaicing, the selection of plots and the spectral image processing were carried out.
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Evaluation of Hungarian show-jumping results using different measurement variables
81-85Views:194The aim of the study was to compare different fitted models for show-jumping results of sporthorses and to estimate heritability and repeatability value. Show-jumping competition results collected between 1996 and 2011 were analyzed. The database contained 358 342 starts of 10 199 horses. Identity number, name and gender of the horse, rider, competition year, the level and location of the competition and placing were recorded in the database. To measure performance of horses, placing, number of starters and competition level were used. Competitions were categorized into five groups based on their difficulty level. The used repeatability animal model included fixed effects for age, gender, competition place, year of competition (and competition level in case of non-weighted measurement variables), and random effects for rider, animal and permanent environment effect. Variance components were estimated with VCE-6 software package. The goodness-of-fit of the models was low and moderate. Heritability and repeatability values were low for each measurement variables. The best goodness-of-fit model the weighted square root of placing resulted the highest heritability and repeatability value h2=0.074 and R=0.296.