Andonov, Sreten

Preferred name

Andonov, Sreten

Official Name

Andonov, Sreten

Main Affiliation

sandonov@zf.ukim.edu.mk

Now showing 1 - 9 of 9

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Evaluation of Suppressed Mite Reproduction (SMR) Reveals Potential for Varroa Resistance in European Honey Bees (Apis mellifera L.)
(MDPI AG, 2020-09-03)
Mondet, Fanny
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Parejo, Melanie
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Meixner, Marina D
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Costa, Cecilia
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Kryger, Per
In the fight against the Varroa destructor mite, selective breeding of honey bee (Apis mellifera L.) populations that are resistant to the parasitic mite stands as a sustainable solution. Selection initiatives indicate that using the suppressed mite reproduction (SMR) trait as a selection criterion is a suitable tool to breed such resistant bee populations. We conducted a large European experiment to evaluate the SMR trait in different populations of honey bees spread over 13 different countries, and representing different honey bee genotypes with their local mite parasites. The first goal was to standardize and validate the SMR evaluation method, and then to compare the SMR trait between the different populations. Simulation results indicate that it is necessary to examine at least 35 single-infested cells to reliably estimate the SMR score of any given colony. Several colonies from our dataset display high SMR scores indicating that this trait is present within the European honey bee populations. The trait is highly variable between colonies and some countries, but no major differences could be identified between countries for a given genotype, or between genotypes in different countries. This study shows the potential to increase selective breeding efforts of V. destructor resistant populations.
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Cutting corners: The impact of storage and DNA extraction on quality and quantity of DNA in honeybee (Apis mellifera) spermatheca
(Frontiers Media SA, 2023)
Moškrič, Ajda
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Pavlin, Anja
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Mole, Katarina
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Marinč, Andraž
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Bubnič, Jernej
The purpose of our study was to investigate methods of short-term storage that allow preservation, transport and retrieval of genetic information contained in honeybee queen's spermatheca. Genotyping of the honeybee colony requires well ahead planned sample collection, depending on the type of data to be acquired. Sampling and genotyping of spermatheca's content instead of individual offspring is timesaving, allowing answers to the questions related to patriline composition immediately after mating. Such procedure is also cheaper and less error prone. For preservation either Allprotect Tissue Reagent (Qiagen) or absolute ethanol were used. Conditions during transportation were simulated by keeping samples 6-8 days at room temperature. Six different storing conditions of spermathecas were tested, complemented with two DNA extraction methods. We have analysed the concentration of DNA, RNA, and proteins in DNA extracts. We also analysed how strongly the DNA is subjected to fragmentation (through amplification of genetic markers ANT2 and tRNAleu-COX2) and whether the quality of the extracted DNA is suitable for microsatellite (MS) analysis. Then, we tested the usage of spermatheca as a source of patriline composition in an experiment with three instrumentally inseminated virgin queens and performed MS analysis of the extracted DNA from each spermatheca, as well as queens' and drones' tissue. Our results show that median DNA concentration from spermathecas excised prior the storage, regardless of the storing condition and DNA extraction method, were generally lower than median DNA concentration obtained from spermathecas dissected from the whole queens after the storage. Despite the differences in DNA yield from the samples subjected to different storing conditions there was no significant effect of storage method or the DNA extraction method on the amplification success, although fewer samples stored in EtOH amplified successfully in comparison to ATR storing reagent. However, we recommend EtOH as a storing reagent due to its availability, low price, simplicity in usage in the field and in the laboratory, and capability of good preservation of the samples for DNA analysis during transport at room temperature.
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Modeling honey yield, defensive and swarming behaviors of Italian honey bees (Apis mellifera ligustica) using linear-threshold approaches
(2019-10-21)
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Costa, Cecilia
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Bergomi, Patrizia
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Lourenco, Daniela
Genetic improvement of honey bees is more difficult compared to other livestock, due to the very different reproductive behavior. Estimation of breeding values requires specific adjustment and the use of sires in the pedigree is only possible when mating of queens and drones is strictly controlled. In the breeding program of the National Registry for Italian Queen Breeders and Bee Producers the paternal contribution is mostly unknown. As stronger modeling may compensate for the lack of pedigree information, we tested two models that differed in the way the direct and maternal effects were considered. The two models were tested using 4003 records for honey yield, defensive and swarming behaviors of Italian honey bee queens produced between 2002 and 2014. The first model accounted for the direct genetic effect of worker bees and the genetic maternal effect of the queen, whereas model 2 considered the direct genetic effect of the queen without maternal effect. The analyses were performed by linear (honey production) and threshold (defensive and swarming behavior) single-trait models; estimated genetic correlations among traits were obtained by a three-trait linear-threshold model.
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The Effect of Thermal Environment on Daily Milk Yield of Dairy Cows
(Walter de Gruyter GmbH, 2016-10-01)
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<jats:title>Abstract</jats:title> <jats:p>The primary objective of this research was to evaluate the impact of environmental air temperatures on the milk production of dairy cows. Therefore, the experiment was carried out at the height of summer (from 15<jats:sup>th</jats:sup> of June to 15<jats:sup>th</jats:sup> of September) in three small family dairy farms and one commercial dairy farm. In total, 51 dairy cows from the black-white breed were subjected to the study. The season of research was divided into three periods: the period before the hot season, the period of the hot season and the period after the hot season. In each period there were three test days selected that were used for recording the air temperature inside and outside the barns and cow’s daily milk yield. Unvaried associations between the test day milk yield of cows and independent environmental and cow factors were done using the linear mixed model for repeated measurements. The statistical model showed that the farm management system and the hot season of the year had significant influence on daily milk yield per cow at the level of p<0.001. The test day per periods of the season when milk control was performed and the average test day environmental temperature showed statistically significant influence on daily milk yield per cow at level p<0.01. The present results revealed that environmental air temperatures contributes to considerable loss in the milk production of dairy cows.</jats:p>
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Standard methods for rearing and selection of <i>Apis mellifera</i> queens 2.0
(Informa UK Limited, 2024-03-19)
Büchler, Ralph
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Bernstein, Richard
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Bienefeld, Kaspar
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Costa, Cecilia
Here, we cover a wide range of methods currently in use and recommended in modern queen rearing, selection, and breeding. The recommendations are meant to serve as standards for scientific and practical beekeeping purposes. The basic conditions and different management techniques for queen rearing are described, including recommendations for suitable technical equipment. As the success of breeding programmes strongly depends on the selective mating of queens, a subsection is dedicated to the management and quality control of mating stations. Recommendations for the handling and quality control of queens complete the queen rearing section. The improvement of colony traits usually depends on a comparative testing of colonies. Standardised recommendations for the organisation of performance tests and the measurement of the most common selection characters are presented. Statistical methods and data preconditions for the estimation of breeding values that integrate pedigree and performance data from as many colonies as possible are described as the most efficient selection method for large populations. Alternative breeding programmes for small populations or certain scientific questions are briefly mentioned, including an overview of the young and fast-developing field of molecular selection tools. Because the subject of queen rearing and selection is too large to be covered within this paper, ample references are given to facilitate comprehensive studies.
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Economic aspects of honey bee queen breeding: insights from a European study
(Informa UK Limited, 2024-06-14)
Dimitrov, Lazo
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;
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Costa, Cecilia
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Meixner, Marina D.
In 2017, the European Commission initiated the EurBeST study to explore the possibilities of using selective breeding of honey bees to increase Varroa resistance traits. One of the specific aims of the study was to assess the process of honey bee queen breeding through an economic analysis. The methodology for calculating the costs of queen production (queen rearing and mating), colony evaluation and expenses for estimating breeding values is based on the Cost of Production (CoP). Cost data were collected via tailor-made questionnaires and interviews performed in five European countries (France, Germany, Greece, Italy, and Poland). The sample population consisted of 20 queen producers and 20 performance testers who participated in the study. The results showed that the average costs for queen production amounted to 22.58 e per queen, ranging from 8.22 e in Poland to 37.30 e in France. The difference between the selling price and the production cost was on average 3.08 e per queen, ranging from 15.86 e in Germany to −12.30 e in France. On average, the colony evaluation costs were 193.40 e per colony. The average cost for breeding value estimation per queen was 8.09 e. Thus, the average total cost per selected queen was 224 e. The selective breeding of honey bees is an efficient way to increase productivity, reduce colony losses, improve bee health and enable profitable operations, but it is expensive, is usually promoted, practiced and implemented by scientists and researchers, and in most cases is financed by external sources.
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Economic aspects of honey bee queen breeding: insights from a European study
(Informa UK Limited, 2024-06-14)
Dimitrov, Lazo
;
;
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Costa, Cecilia
;
Meixner, Marina D.
In 2017, the European Commission initiated the EurBeST study to explore the possibilities of using selective breeding of honey bees to increase Varroa resistance traits. One of the specific aims of the study was to assess the process of honey bee queen breeding through an economic analysis. The methodology for calculating the costs of queen production (queen rearing and mating), colony evaluation and expenses for estimating breeding values is based on the Cost of Production (CoP). Cost data were collected via tailor-made questionnaires and interviews performed in five European countries (France, Germany, Greece, Italy, and Poland). The sample population consisted of 20 queen producers and 20 performance testers who participated in the study. The results showed that the average costs for queen production amounted to 22.58 per queen, ranging from 8.22 in Poland to 37.30 in France. The difference between the selling price and the production cost was on average 3.08 per queen, ranging from 15.86 in Germany to -12.30 in France. On average, the colony evaluation costs were 193.40 per colony. The average cost for breeding value estimation per queen was 8.09 . Thus, the average total cost per selected queen was 224 . The selective breeding of honey bees is an efficient way to increase productivity, reduce colony losses, improve bee health and enable profitable operations, but it is expensive, is usually promoted, practiced and implemented by scientists and researchers, and in most cases is financed by external sources.
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Standard methods for rearing and selection of <i>Apis mellifera</i> queens 2.0
(Informa UK Limited, 2024-03-19)
Büchler, Ralph
;
;
Bernstein, Richard
;
Bienefeld, Kaspar
;
Costa, Cecilia
Here, we cover a wide range of methods currently in use and recommended in modern queen rearing, selection, and breeding. The recommendations are meant to serve as standards for scientific and practical beekeeping purposes. The basic conditions and different management techniques for queen rearing are described, including recommendations for suitable technical equipment. As the success of breeding programmes strongly depends on the selective mating of queens, a subsection is dedicated to the management and quality control of mating stations. Recommendations for the handling and quality control of queens complete the queen rearing section. The improvement of colony traits usually depends on a comparative testing of colonies. Standardised recommendations for the organisation of performance tests and the measurement of the most common selection characters are presented. Statistical methods and data preconditions for the estimation of breeding values that integrate pedigree and performance data from as many colonies as possible are described as the most efficient selection method for large populations. Alternative breeding programmes for small populations or certain scientific questions are briefly mentioned, including an overview of the young and fast developing field of molecular selection tools. Because the subject of queen rearing and selection is too large to be covered within this paper, ample references are given to facilitate comprehensive studies.
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Standard methods for rearing and selection of Apis mellifera queens 2.0
(Taylor and Francis (United Kingdom), 2024-03-19)
Büchler, Ralph
;
;
Bernstein, Richard
;
Bienefeld, Kaspar
;
Costa, Cecilia

Andonov, Sreten

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