Otradnov PI, Nikipelov VI, Nikipelova AK, Boborykin AYu, Belous AA.

Animal Husbandry and Fodder Production. 2025. Vol. 108. No. 3. Р. 149-168.

doi:10.33284/2658-3135-108-3-149

 

Original article

Breeding assessment of Siberian sturgeon (Acipenser baerii) based on the system

of genetic certification

 

Petr I Otradnov1, Vladislav I Nikipelov2, Amina K Nikipelova3, Alexander Yu Boborykin4,

Anna A Belous5

1,2,3,4Federal Research Center for Animal Husbandry named after Academy Member LK Ernst,

Dubrovitsy, Russia

5All-Russian Scientific Research Institute of Integrated Fisheries - a branch of the Federal Research

Center for Animal Husbandry named after Academy Member LK Ernst, Moscow Region, Russia

1deriteronard@gmail.com, https://orcid.org/0000-0002-1153-5815

2vladnikipelovvij@mail.ru, https://orcid.org/0009-0008-6411-2454

3nikipelova_aminavij@mail.ru, https://orcid.org/0009-0002-8248-7555

4boborykin99@inbox.ru, https://orcid.org/0009-0003-3927-480X

5belousa663@gmail.com, https://orcid.org/0000-0001-7533-4281

 

Abstract. This article presents the results of a comprehensive study on the assessment of the breeding value of Siberian sturgeons using genetic certification and the BLUP (Best Linear Unbiased Prediction) method. The assessment results showed that accounting for genetic relationship in the BLUP model ensures the stability of heritability coefficients in the range of 0.164-0.220, regardless of the volume of appraisal data used, while estimates without taking into account the pedigree demonstrated significant variability (0.036-0.595). It is shown that the integration of genetic certification data allows obtaining more reliable estimates of breeding value with a reliability of 11.75-18.98%, while the traditional approach without taking into account the pedigree gives more scattered results (reliability varied from 4.82 to 82.22 %). The obtained results are of great practical importance for the development of selection and improvement of breeding stock in sturgeon farming.

Keywords: aquaculture, Siberian sturgeon, BLUP assessment, genetic certification, breeding value

Acknowledgments: the work was performed in accordance to the plan of research works for 2025-2027 LK Ernst Federal Research Center (No. FGGN-2025-0005).

For citation: Otradnov PI, Nikipelov VI, Nikipelova AK, Boborykin AYu, Belous AA. Breeding assessment of Siberian sturgeon (Acipenser baerii) based on the system of genetic certification. Animal Husbandry and Fodder Production. 2025;108(3):149-168. (In Russ.). https://doi.org/10.33284/2658-3135-108-3-149

References

  1. Meshherov RK, Grashin AA, Grashin VA, Meshherov SR. Influence of the BLUP sire evaluation indicator on the period of productive use of black-and-white breed cows. Zootechniya. 2022;11:5-8. doi: 10.25708/ZT.2022.18.11.002
  2. Volkova AYu, Huobonen ME. 2019 Estimation of morphometric and fish-breeding biological indicators of Siberian sturgeon (Acipenser baerii Brandt) from the Lena River population, rearing in the conditions of the Far North. Vestnik of MSTU. Scientific Journal of Murmansk State Technical University. 2019;22(2):243-248. doi: 10.21443/1560-9278-2019-22-2-243-248
  3. Glazko VI,  Kosovsky  GYu,  Glazko  TT,  Fedorova    DNA  markers  and  microsatellite code (review). Sel'skokhozyaistvennaya Biologiya [Agricultural Biology]. 2023;58(2):223-248. doi: 10.15389/agrobiology.2023.2.223eng
  4. Ignatieva LP, Sermyagin AA. Usage of the BLUP ANIMAL MODEL for estimation of the breeding value of simmental cows. Vestnik of Ulyanovsk State Agricultural Academy. 2021;4(56):188-194. doi: 10.18286/1816-4501-2021-4-188-194
  5. Kartashova AP, Firsova EV.  BLUP  efficiency  in  the  analysis  of  genealogical  Achievements  of  Science  and  Technology  in  Agro-Industrial  Complex. 2022;36(10):66-71. doi: 10.53859/02352451_2022_36_10_66
  6. Karymsakov TN, Nasambaev EG. The effectiveness of assessing the breeding value of bulls by the quality of offspring by the BLUP method. Izvestia Orenburg State Agrarian University. 2021;3(89):278-280. doi: 10.37670/2073-0853-2021-89-3-278-280
  7. Kozlova NV, Yakovleva EP, Pyatikopova OV.  Genetic and fish-breeding biological research on sturgeon species for the purpose of artificial reproduction. Problems of Fisheries. 2024;25(2):111-120. doi: 10.36038/0234-2774-2024-25-2-111-120
  8. Mygue NS, Barmintseva AE. Genomic research for sturgeon conservation: analysis of the inheritance of polyploid loci and the development of a marker panel to identify sturgeon hybrids and their products. Russian Foundation for Basic Research Journal. 2020;2(106):78-87. doi: 10.22204/2410-4639-2020-106-02-78-87
  9. Bardukov NV, Nikipelova AK, Otradnov PI, Nikipelov VI, Belous AA. Determining the reliability of the origin of Siberian sturgeon based on the results of microsatellite analysis and genetic similarity coefficients. Animal Husbandry and Fodder Production. 2024;107(4):106-115. doi: 10.33284/2658-3135-107-4-106
  10. Gorbenko EV, Pavlyuk AA, Vorobyeva OA, Sergeeva SG, Panchenko MG. Specific features of rearing of the russian sturgeon juveniles in the don sturgeon hatchery in 2021. Aquatic Bioresources & Environment. 2022;5(4):66-82. doi: 10.47921/2619-1024_2022_5_4_66
  11. Otradnov PI, Rudiyanov DM, Belous AA. Validation of breeding value estimates for Duroc pigs by feeding behavior traits. 2023;5:22-26. (In Russ.)]. doi: 10.37925/0039-713X-2023-5-22-26
  12. Kalashnikov AE, Golubkov AI, Shegolkov NF, Gosteva ER. Problems and issues in forecasting the genetic breeding value of agricultural animals. Bulletin of NSAU (Novosibirsk State Agrarian University). 2022;4:77-96. doi: 10.31677/2072-6724-2022-65-4-77-96
  13. Bardukov NV, Nikipelova  AK,  Belous  AA,  Zinovieva    Development  of  multiplex  panel  of  microsatellites  for genetic studies of Siberian sturgeon (Acipenser baerii) bred in commercial aquaculture. Sel'skokhozyaistvennaya Biologiya [Agricultural Biology]. 2023;58(6):1057-1067. doi: 10.15389/agrobiology.2023.6.1057eng
  14. Danilova EA, Vorob`ev AP, Zvezda IO, Danilova ER, Slepctsova OG, Churakina IV, Ledneva VA. Reproductive indicators of sterlet and siberian sturgeon when grown in aquaculture and in natural reservoirs. Fish Breeding and Fisheries. 2023;17(4):245-255. doi: 10.33920/sel-09-2304-03
  15. Sidorova LI, Kirillov AF, Ksenofontov MM. Size and weight characteristics of Lena population of Acipenser baerii Brandt, 1869. Scientific Journal of the Far Eastern State Technical Fisheries University. 2024;68(2):127-131. doi: 10.48612/dalrybvtuz/2024-68-14
  16. Haynatsky VYu. BLUP Method of breeding assessment of beef sires. Animal Husbandry and Fodder Production. 2021;104(1):20-31. doi: 10.33284/2658-3135-104-1-20
  17. Bermann M, Aguilar I, Lourenco D, Misztal I, Legarra A. Reliabilities of estimated breeding values in models with metafounders. Genet Sel Evol. 2023;55: doi: 10.1186/s12711-023-00778-2
  18. Cui X, Li C,  Qin S,  Huang Z,  Gan B,  Jiang Z,  Huang X,  Yang X, Li Q, Xiang X, Chen J, Zhao Y,  Rong J.  High-throughput  sequencing-based  microsatellite  genotyping for polyploids to  resolve  allele  dosage  uncertainty  and  improve  analyses  of  genetic  diversity,  structure  and  differentiation:  A  case  study of the hexaploid Camellia oleifera. Mol Ecol Resour. 2022;22(1):199-211. doi: 10.1111/1755-0998.13469
  19. Paradis E, Schliep K. Ape 5.0: an environment for modern phylogenetics and evolutionary analyses in R. Bioinformatics. 2019;35(3):526-528. doi: 10.1093/bioinformatics/bty633
  20. Rasal KD, Kumar PV, Risha S, Asgolkar P, Harshavarthini M, Acharya A, Shinde S, Dhere S, Rasal A, Sonwane A, Brahmane M, Sundaray JK, Nagpure N. Genetic improvement and genomic resources of important cyprinid species: status and future perspectives for sustainable production. Front Genet. 2024;15:1398084. doi: 10.3389/fgene.2024.1398084
  21. Ren S, Mather PB, Tang B, Hurwood DA. Standardized microsatellite panels for pedigree management of farmed white-leg shrimp (Penaeus vannamei) stocks validated in a VIE tagged family selection line. Aquaculture. 2022;511:737946. doi: 10.1016/j.aquaculture.2022.737946
  22. Shivaramu S, Lebeda I,  Vuong  DT,  Rodina  M,  Gela D,  Flajshans M. Ploidy  levels and   fitness-related   traits  in  purebreds  and  hybrids  originating  from  sterlet  (Acipenser ruthenus)  and  unusual   ploidy   levels   of   siberian   sturgeon   (A. baerii).   Genes  (Basel). 2 020;11(10):1164. doi: 10.3390/genes11101164
  23. Silveira DS, Weiler RL,  Brunes AP, Simioni C, Mills A, Longhi J, Corrêa MVS, Nauderer C, Valentini A, Santos WMD, Dall’Agnol M. REML/BLUP methodology for selection intraspecific hybrids of Paspalum notatum Flügge by multivariate analysis. Anais da Academia Brasileira de Ciências. 2023;95(S2):e20230137. doi: 10.1590/0001-3765202320230137
  24. Weng Z, Yang Y, Wang X, Wu L, Hua S, Zhang H, Meng Z. Parentage analysis in giant grouper (Epinephelus lanceolatus) using microsatellite and SNP markers from Genotyping-by-Sequencing data. Genes. 2021;12(7):1042. doi: 10.3390/genes12071042
  25. Wenne R. Microsatellites as molecular markers with applications in exploitation and conservation of aquatic animal populations. Genes (Basel). 2023;14(4):808. doi: 10.3390/genes14040808

Information about the authors:

Petr I Otradnov, Junior Researcher at the Laboratory of Genetic Technologies in the Agro- and Aquatic Husbandry of the Federal Research Center for Animal Husbandry named after Academy Member L.K. Ernst, 60 Dubrovitsy village, Podolsk City district, Moscow region, 142132, Russia, tel.: +79296131475.

Vladislav I Nikipelov, Junior Researcher at the Laboratory of Genetic Technologies in the Agro- And Aquatic Husbandry of the Federal Research Center for Animal Husbandry named after Academy Member L.K. Ernst, 60 Dubrovitsy village, Podolsk City district, Moscow region, 142132, Russia, tel.: +79270752759.

Amina K Nikipelova, Junior Researcher at the Laboratory of Genetic Technologies in the Agro- and Aquatic Husbandry of the Federal Research Center for Animal Husbandry named after Academy Member L.K. Ernst, 60 Dubrovitsy village, Podolsk City district, Moscow region, 142132, Russia, tel.: +79275708398.

Alexander Yu Boborykin, Junior Researcher at the Laboratory of genetic technologies in the agro- and aquatic husbandry of the Federal Research Center for Animal Husbandry named after Academy Member L.K. Ernst, 60 Dubrovitsy village, Podolsk City district, Moscow region, 142132, Russia, tel.: +79670303912.

Anna A Belous, Cand. Sci. (Biology), Head the Laboratory of Genetic Technologies in the Agricultural and Aquatic Husbandry, Director of the All-Russian Scientific Research Institute of Integrated Fisheries- a branch of the Federal Research Center for Animal Husbandry named after Academy Member L.K. Ernst, 24 Sergeeva street, Noginsky district, working settlement named after Vorovsky, Moscow Region, 142460, tel.: +79850404028.

The article was submitted 03.06.2025; approved after reviewing 24.06.2025; accepted for publication 15.09.2025.

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