THE MAIN PROBLEMS OF USING BLUP FOR ASSESSING PIG NUMBERS IN THE REPUBLIC OF KAZAKHSTAN
THE MAIN PROBLEMS OF USING BLUP FOR ASSESSING PIG NUMBERS IN THE REPUBLIC OF KAZAKHSTAN
DOI:
https://doi.org/10.52578/2305-9397-2025-2-10-19Аннотация
This paper initiates the implementation of the BLUP methodology for assessing the breeding
value of pigs in the conditions of domestic pig farming in Kazakhstan. The initial data analysis
revealed several critical problems that hinder the correct implementation of statistical calculations.
The main issues are the high percentage of missing values and abnormal data in key parameters, such
as litter weight, number of piglets, and measurement dates. These shortcomings lead to the
impossibility of using a significant part of the records to calculate the complex index using the BLUP
method. The paper proposes a comprehensive interdisciplinary approach, including identifying
influencing factors based on international experience and regional characteristics, improving the data
collection and control system in the information and analytical system (IAS), and developing
specialized software. The study results demonstrate that even with correct management of
identification data, significant problems remain that require further refinement of the algorithms for
cleaning and quality control of the initial data, which must be considered in the subsequent practical
implementation of the methodology. Applying the developed method will improve the accuracy of
assessing the breeding value of pigs and, in the long term, improve the efficiency of breeding work in
the industry.
Библиографические ссылки
REFERENCES
Bobecek B., Rehacek P., Matusek V. Analysis of reproduction and production parameters in
maternal and gene pool populations of boars using the M BLUP AM method in Slovakia [Text] //
Biotechnology in Animal Husbandry. 2006; 22(1–2):89–96.
Jafarikia M., Sullivan B. Genomics Tools for Improving Health and Production Performance of
Canadian Pigs [Text] // Proceedings of the 10th World Congress on Genetics Applied to Livestock
Production. 2014; 506.
Ruckli A.K., Hortenhuber S.J., Ferrari P., Guy J., Helmerichs J., Hoste R., Hubbard C.,
Kasperczyk N., Leeb C., Malak Rawlikowska A., et al. Integrative Sustainability Analysis of European
Pig Farms: Development of a Multi-Criteria Assessment Tool [Text] // Sustainability. 2022; 14(10):5988.
https://doi.org/10.3390/su14105988.
Thekkoot D.M., Kemp R.A., Boddicker N.J., Mwansa P., Dekkers J.M.C., Plastow G. Single-step
genomic evaluation accuracies for growth and reproductive traits in Yorkshire pigs with genotypes from
two different SNP panels [Text] // Proceedings of the 11th World Congress on Genetics Applied to
Livestock Production. 2018; 11 (374).
Kuznetsov V.M. BLUP Animal Model – method for genetic evaluation of dairy cattle [Electronic
resource] // Kirov: North-East Zonal Agricultural Research Institute named after
N.V. Rudnitsky; Available from: https://vm-kuznetsov.ru/files/etude/06_blup_am.pdf (accessed:
03.2025).
Kuznetsov V.M. BLUP Animal Model for genetic evaluation of pigs: basic model [Electronic
resource] // Proceedings of the Conference at Don State Agrarian University, April 22–23, 2010. Kirov:
North-East Zonal Agricultural Research Institute; Available from: https://vmkuznetsov.ru/files/etude/16_blup_am_pig.pdf (accessed: 12.03.2025).
Khainatsky V.Yu. BLUP Method for Genetic Evaluation of Beef Sires [Electronic resource] //
Animal Husbandry and Fodder Production. 2021; 104(1):20–27. https://doi.org/10.33284/2658-3135-104-
-20 (accessed: 12.03.2025).
Wu B., Xiong H., Zhuo L., Xiao Y., Yan J., Yang W. Multi-view BLUP: a promising solution for
post-omics data integrative prediction [Electronic resource] // bioRxiv; 2024.
https://doi.org/10.1101/2024.11.14.623556 (accessed: 12.03.2025).
Henderson C.R. Best Linear Unbiased Estimation and Prediction under a Selection Model [Text]
// Biometrics. 1975; 31(2):423–447. https://doi.org/10.2307/2529430.
Legarra A., Aguilar I., Misztal I. A relationship matrix including full pedigree and genomic
information [Text] // Journal of Dairy Science. 2009; 92(9):4656–4663. https://doi.org/10.3168/jds.2009-
Suslina E.N., Novikov A.A., Pavlova S.V., Bashmakova N.V., Fedin G.I., Alekseeva S.I.
Genetic evaluation of pigs using the BLUP method [Text] // Proceedings of Timiryazev Agricultural
Academy. 2019; 6:150–161. https://doi.org/10.34677/0021-342х-2019-6-150-161.
Pig selection – evaluation of pigs breeding value using BLUP [Electronic resource] // Breeding
and Genetic Center “Znamensky”. Available from: https://nsgc.ru/kontent/78-ocenka-plemennojcennosti-svinej-metodom-blup (accessed: 10.09.2024).
Tatiana A.S. Pig breeding selection methods [Electronic resource] // Agroserver. LLC Matrix.
Available from: https://agroserver.ru/articles/6336.htm (accessed: 11.09.2024).
Animal Identification Rules [Electronic resource] // Approved by Order of the Minister of
Agriculture of the Republic of Kazakhstan dated January 30, 2015 №7-1/68. Available from:
https://adilet.zan.kz/rus/docs/V1500011127.
Sharko F.S., Khatib A., Prokhortchouk E.B. Genomic evaluation of breeding value in Holstein
cows using milk production and fertility traits [Text] // Acta Naturae. 2022; 14(1):110–121. Available
from: https://actanaturae.ru/2075-8251/article/download/11648/pdf_1 (accessed: 12.03.2025).
Sergeev A.I., Golovin A.I. Linear model construction for predicting the breeding value of
animals [Text] // Bulletin of KrasGAU. 2021; (7):123–130. Available from:
https://www.kgau.ru/vestnik/2021_7/content/22.pdf (accessed: 12.03.2025).
Ivanov P.P., Petrov S.S. Predictive models for assessing animal breeding value [Text] // AIC:
Economics, Management. 2020; (6):45–50. Available from: https://apknet.ru/prognozirovanie-modeleyrascheta-plem/ (accessed: 12.03.2025).
Kabanov A., Melnikova E., Nikitin S., et al. Application of Weighted Single-Step GBLUP
Method for Evaluation of Pigs on Meat Productivity and Reproduction Traits [Text] // Animals. 2022;
(13):1693. https://doi.org/10.3390/ani12131693.
Dodd G.R., Gray K., Huang Y., Fragomeni B. Single-Step GBLUP and GWAS Analyses
Suggest Implementation of an Unweighted Two-Trait Approach for Pig Selection under Heat Stress
Conditions [Text] // Animals. 2022; 12(3):388. https://doi.org/10.3390/ani12030388.
Krupa E., Krupova Z., Zákova E., et al. Genetic parameters assessment of reproductive traits in
boars using genomic BLUP [Text] // Genes. 2023; 14(11):2003. https://doi.org/10.3390/genes14112003.