Sicheva Nikolaevna, Irina

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  • Sicheva Nikolaevna, Irina (1)
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PHENOTYPIC AND MOLECULAR PREDICTION AND SELECTION OF DOMESTIC ANIMALS

Petrović, Milan P.; Caro Petrović, Violeta; Roth Chuon, Mony; Selionova, Marina I.; Sicheva Nikolaevna, Irina; Ristanović, Bojana; Stefanović, Vukasin

(The Balkans Scientific Center of the Russian Academy of Natural Sciences, 2021)

TY  - CONF
AU  - Petrović, Milan P.
AU  - Caro Petrović, Violeta
AU  - Roth Chuon, Mony
AU  - Selionova, Marina I.
AU  - Sicheva Nikolaevna, Irina
AU  - Ristanović, Bojana
AU  - Stefanović, Vukasin
PY  - 2021
UR  - http://r.istocar.bg.ac.rs/handle/123456789/877
AB  - Environmental factors are always present, it is difficult to reliably determine the value of an animal's genotype. The fact that genotypes are not passed from generation to generation, but numerous genes that exhibit average effects in relation to the mean value of the population also complicated genotype assessment. In order to estimate the genotype of an individual as accurately as possible, we must apply a series of procedures that collectively at the end of the journey can give us a clearer picture of what we are looking for. The basis of selection work is the assessment of the breeding value of domestic animals on the basis of which the selection of individuals or groups for further reproduction and use in production. With the development of computer technology, statistical software was obtained, which enabled faster and more reliable data processing and assessment of breeding value, using linear models. From the first ideas of DNA molecule analysis for that purpose until today, many procedures have been applied and improved and many genetic markers and methods have been discovered, so that in practical terms it is necessary to accept a common platform called genomic selection. Genomic selection - is a powerful tool for future use. Currently, the efficiency of genomic selection is limited by various interactions between the locus of quantitative traits, the variability of quantitative traits, and the influence of environmental factors. However, research results in many countries have confirmed that the use of standard statistical methods together with genomic selection increases reliability in predicting the breeding values of animals.
PB  - The Balkans Scientific Center of the Russian Academy of Natural Sciences
C3  - Proceedings of the 3rd International Symposium: Modern Trends in Agricultural  Production Rural Development and  Environmental Protection
T1  - PHENOTYPIC AND MOLECULAR PREDICTION AND SELECTION  OF DOMESTIC ANIMALS
SP  - 320
EP  - 332
UR  - https://hdl.handle.net/21.15107/rcub_ristocar_877
ER  - 
@conference{
author = "Petrović, Milan P. and Caro Petrović, Violeta and Roth Chuon, Mony and Selionova, Marina I. and Sicheva Nikolaevna, Irina and Ristanović, Bojana and Stefanović, Vukasin",
year = "2021",
abstract = "Environmental factors are always present, it is difficult to reliably determine the value of an animal's genotype. The fact that genotypes are not passed from generation to generation, but numerous genes that exhibit average effects in relation to the mean value of the population also complicated genotype assessment. In order to estimate the genotype of an individual as accurately as possible, we must apply a series of procedures that collectively at the end of the journey can give us a clearer picture of what we are looking for. The basis of selection work is the assessment of the breeding value of domestic animals on the basis of which the selection of individuals or groups for further reproduction and use in production. With the development of computer technology, statistical software was obtained, which enabled faster and more reliable data processing and assessment of breeding value, using linear models. From the first ideas of DNA molecule analysis for that purpose until today, many procedures have been applied and improved and many genetic markers and methods have been discovered, so that in practical terms it is necessary to accept a common platform called genomic selection. Genomic selection - is a powerful tool for future use. Currently, the efficiency of genomic selection is limited by various interactions between the locus of quantitative traits, the variability of quantitative traits, and the influence of environmental factors. However, research results in many countries have confirmed that the use of standard statistical methods together with genomic selection increases reliability in predicting the breeding values of animals.",
publisher = "The Balkans Scientific Center of the Russian Academy of Natural Sciences",
journal = "Proceedings of the 3rd International Symposium: Modern Trends in Agricultural  Production Rural Development and  Environmental Protection",
title = "PHENOTYPIC AND MOLECULAR PREDICTION AND SELECTION  OF DOMESTIC ANIMALS",
pages = "320-332",
url = "https://hdl.handle.net/21.15107/rcub_ristocar_877"
}
Petrović, M. P., Caro Petrović, V., Roth Chuon, M., Selionova, M. I., Sicheva Nikolaevna, I., Ristanović, B.,& Stefanović, V.. (2021). PHENOTYPIC AND MOLECULAR PREDICTION AND SELECTION  OF DOMESTIC ANIMALS. in Proceedings of the 3rd International Symposium: Modern Trends in Agricultural  Production Rural Development and  Environmental Protection
The Balkans Scientific Center of the Russian Academy of Natural Sciences., 320-332.
https://hdl.handle.net/21.15107/rcub_ristocar_877
Petrović MP, Caro Petrović V, Roth Chuon M, Selionova MI, Sicheva Nikolaevna I, Ristanović B, Stefanović V. PHENOTYPIC AND MOLECULAR PREDICTION AND SELECTION  OF DOMESTIC ANIMALS. in Proceedings of the 3rd International Symposium: Modern Trends in Agricultural  Production Rural Development and  Environmental Protection. 2021;:320-332.
https://hdl.handle.net/21.15107/rcub_ristocar_877 .
Petrović, Milan P., Caro Petrović, Violeta, Roth Chuon, Mony, Selionova, Marina I., Sicheva Nikolaevna, Irina, Ristanović, Bojana, Stefanović, Vukasin, "PHENOTYPIC AND MOLECULAR PREDICTION AND SELECTION  OF DOMESTIC ANIMALS" in Proceedings of the 3rd International Symposium: Modern Trends in Agricultural  Production Rural Development and  Environmental Protection (2021):320-332,
https://hdl.handle.net/21.15107/rcub_ristocar_877 .