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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">sibvest</journal-id><journal-title-group><journal-title xml:lang="ru">Сибирский вестник сельскохозяйственной науки</journal-title><trans-title-group xml:lang="en"><trans-title>Siberian Herald of Agricultural Science</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">0370-8799</issn><issn pub-type="epub">2658-462X</issn><publisher><publisher-name>Siberian Federal Scientific Centre of Agro-BioTechnologies of the Russian Academy of Sciences</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26898/0370-8799-2024-8-11</article-id><article-id custom-type="elpub" pub-id-type="custom">sibvest-2009</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ЗООТЕХНИЯ И ВЕТЕРИНАРИЯ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ZOOTECHNICS AND VETERINARY MEDICINE</subject></subj-group></article-categories><title-group><article-title>Селекционно-генетические параметры овец агинской породы зугалайского типа</article-title><trans-title-group xml:lang="en"><trans-title>Selection and genetic parameters of sheep of the Aginskaya breed of the Zugalay type</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Хамируев</surname><given-names>Т. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Khamiruev</surname><given-names>T. N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Кандидат сельскохозяйственных наук, ведущий научный сотрудник </p><p>672039, Забайкальский край, Чита, ул. Кирова, 49 </p></bio><bio xml:lang="en"><p>Timur N. Khamiruev, Candidate of Science in Agriculture, Lead Researcher </p><p>49, Kirova St., Chita, Trans-Baikal Territory, 672039 </p></bio><email xlink:type="simple">tnik0979@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Научно-исследовательский институт ветеринарии Восточной Сибири – филиал Сибирского федерального научного центра агробиотехнологий Российской академии наук</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Research Institute of Veterinary Science of Eastern Siberia – Branch of the Siberian Federal Scientific Centre of AgroBioTechnologies of the Russian Academy of Sciences</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>23</day><month>09</month><year>2024</year></pub-date><volume>54</volume><issue>8</issue><fpage>102</fpage><lpage>112</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Хамируев Т.Н., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Хамируев Т.Н.</copyright-holder><copyright-holder xml:lang="en">Khamiruev T.N.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://sibvest.elpub.ru/jour/article/view/2009">https://sibvest.elpub.ru/jour/article/view/2009</self-uri><abstract><p>Представлены результаты изучения селекционируемых признаков, экстерьерно-конституциональных особенностей полугрубошерстных овец агинской породы зугалайского типа. Приведены данные корреляционно-регрессионного, дисперсионного анализа, по результатам которых спроектированы модели парной и многофакторной регрессии. Наибольшей вариабельностью у изучаемых овец отличаются масса тела (6,4–12,6%), длина пуха (19,3–19,7%) и ости (13,1–16,9%) и обхват пясти (9,1%). По индексам телосложения бараны выделяются большей длинноногостью, лучшим развитием груди, более крепким костяком, овцематки – более растянутым, сбитым и массивным телом с лучше развитой задней частью. Корреляционный анализ селекционируемых признаков с экстерьерными статями свидетельствует, что живая масса и настриг шерсти у баранов имеет более тесную сопряженность с линейными промерами в сравнении с овцематками. Как у самцов, так и у самок живая масса сильнее коррелирует с шириной в маклоках, настриг шерсти – с шириной в маклоках у баранов, у овцематок связь была слабой или практически отсутствовала. Коэффициент линейной регрессии свидетельствует, что прирост живой массы и настрига шерсти у баранов прогнозируется при увеличении на единицу измерения промера ширины в маклоках (4,37 абс. прироста; r = 0,824; р &lt; 0,001 и 0,13 абс. прироста; r = 0,792; р &lt; 0,001). Коэффициент детерминации показал, что у баранов изменения живой массы и настрига шерсти на 67,9 и 62,8% обусловлены шириной в маклоках, влияние остальных факторов – 32,1 и 37,2% соответственно. В моделях многофакторной регрессии изменения массы тела и настрига шерсти у баранов на 90,3 и 78,0% объясняются воздействием комплекса линейных промеров, у овцематок – на 25,7 и 17,5% соответственно, оставшаяся доля отводится на влияние других факторов соответственно.</p></abstract><trans-abstract xml:lang="en"><p>The results of the study of selectable traits, exterior-constitutional features of medium wool sheep of the Aginskaya breed of the Zugalay type are presented. The data of correlation-regression, variance analysis are given, according to the results of which paired and multifactor regression models have been designed. Body weight (6.4–12.6%), down length (19.3–19.7%) and awn length (13.1–16.9%) and cannon bone girth (9.1%) are characterized by the greatest variability in the studied sheep. In terms of physique indices, rams are distinguished by longer legs, better breast development, stronger bones, ewe lambs are distinguished by a more stretched, bunched and massive body with a better developed hind part. Correlation analysis of the breeding traits with external body parts indicates that live weight and wool clip in rams has a closer correlation with linear measurements in comparison with ewe lambs. In both males and females, live weight was more strongly correlated with the width in the dippers, wool clip – with the width at hips in rams, in ewe lambs the relationship was weak or practically absent. Linear regression coefficients indicate that live weight and wool clip gain in rams are predicted by an increase per unit in hip width (4.37 abs. gain; r = 0.824; p &lt; 0.001 and 0.13 abs. gain; r = 0.792; p &lt; 0.001). The coefficient of determination showed that in rams the changes in live weight and wool clip by 67.9 and 62.8% were explained by the width at hips, the influence of other factors – 32.1 and 37.2%, respectively. In multifactor regression models, 90.3 and 78.0% of changes in body weight and wool clip in rams are explained by the influence of a complex of linear measurements, in ewe lambs – by 25.7 and 17.5%, respectively, the remaining share is attributed to the influence of other factors, respectively.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>овцы</kwd><kwd>агинская порода</kwd><kwd>зугалайский тип</kwd><kwd>селекционно-генетические параметры</kwd><kwd>живая масса</kwd><kwd>настриг шерсти</kwd><kwd>корреляция</kwd><kwd>регрессия</kwd><kwd>дисперсия</kwd></kwd-group><kwd-group xml:lang="en"><kwd>sheep</kwd><kwd>Aginskaya breed</kwd><kwd>Zugalay type</kwd><kwd>selection and genetic parameters</kwd><kwd>live weight</kwd><kwd>wool clip</kwd><kwd>correlation</kwd><kwd>regression</kwd><kwd>dispersion</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Работа выполнена при поддержке гранта РНФ № 23-26-00014.</funding-statement><funding-statement xml:lang="en">The work was supported by the Russian National Foundation grant No. 23-26-00014.</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Kulzhanova B., Ombayev A., Azhimetov N., Parzhanov Zh., Khamzin K., Yegemkulov N. 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