The aim of this study was to determine the effect of parity on reproductive performance by sows of different breeds. The sows were raised on three farms, and had seven or more litters of not fewer than seven piglets. A total of 1511 litters from various parities of Lithuanian White (N =721), Large White (N = 162) and Landrace (N = 628) sows were contained in the data that were used in this study. Multiparous sows had larger litters than primiparous sows. Piglet survival rate declined from parity 7. An increase in litter size was observed until parity 5 in Large White and until parity 6 in improved Lithuanian White (P <0.05). In comparison with parity 1, Landrace sows up to parity 5 showed not only increased prolificacy, but also increased number and litter weight of piglets at 21 days old, and the number and litter weight of weaned piglets (P <0.01). The current findings indicate that sows of these breeds can be used effectively in breeding herds until parity 5 and parity 6.Keywords: Landrace, Large White, Lithuanian White, litter size
The experiment conducted in a stockyard in the district of Telšiai (Lithuania) involved two groups of animals: I-Lithuanian Whites, mated with the wild boar in an attempt to produce first-generation hybrids (F 1) having 50% wild boar blood, and II-female hybrids, mated repeatedly with the wild boar to produce second-generation hybrids (F 2) with 75% wild boar blood. An increase in the wild boar gene pool (up to 75%) led to a decrease in the litter size which approximated prolificacy values typical of wild boars. When white homozygous pigs of the Lithuanian White breed were mated with wild boars, white was the dominant color in the first generation (F 1), whereas when white, heterozygous female hybrids were crossbred with wild boars, white and striped (torched) second-generation (F 2) hybrids were distributed at the ratio of 1.25:1 throughout the population. The aim of this study was to investigate the growth rate, meatiness and meat quality of F 1 hybrids. In the control period, (body weight of approximately 30 to 80 kg), the average daily gains of hybrids (n = 12) reached 474 g. Boars grew faster (490 g), while gilts were marked by a slower growth rate (457 g). Five boars (approx. 100 kg) were slaughtered for the evaluation of meatiness traits and meat (musculus longissimus dorsi) quality, while gilts were left for further breeding. The average half-carcass length of hybrids was 95 cm, backfat thickness at 6-7 and last ribs reached 29 and 16 mm, respectively, and lean meat content was 50.7%. The meat pH 48 was 5.48, redness was determined at 18.16 ext. u., water holding capacity at 58.15% and cooking loss at 27.35%. Chemical composition composition of meat was as follows: 23.62% protein, 1.54% fat and 1.13% ash. In comparison with Lithuanian White pigs, hybrids grew at a slower rate and their carcasses had lower meatiness traits. The meat of F 1 hybrids was characterized by higher redness values, lower cooking loss and satisfactory chemical composition in respect of nutritive value. The meat of male hybrids was also found to deliver a high degree of palatability without a specific, offensive aroma.
Rapidly growing urbanization causes the increase of noise level of various sources, that have a negative impact upon people's health. The contribution of noise caused by motor transport in city environment composes up to 80% of general impact of all the sources. The article presents the results of modeling of the spread of motor transport noise of Šiauliai city, maps of motor transport noise, recommendations for management of environment noise. MapNoise programme module, adapted to work in the ArcGIS Desktop 9.1 environment, was used for modeling motor transport noise. Noise measurement researches have been carried out using digital noise isolator Nor121, completed with digital level detector. NorXfar software was used to send the data to personal computer. Having evaluated the validity of modeling results it has been determined that the difference between the night noise modeling and measurement results does not exceed 2.2%, and varies from 0.5dB(A) to 1.1 dB(A). The obtained results indicate that 7.2% of the apartments of all city residents are influenced by the LDEN noise that exceeds the permitted noise level (LDEN >65 dB(A)) and 31.2% of the apartments of the residents are influenced by night noise that exceeds the permitted noise level (LN > 55 dB(A)). Santrauka Sparčiai vykstant urbanizacijos procesui, kinta įvairių šaltinių keliamo triukšmo lygis, didėja neigiama įtaka žmonių sveikatai. Miestų aplinkoje iki 80 % visuminio visų triukšmo šaltinių poveikio tenka autotransporto keliamam triukšmui.Straipsnyje pateikta autotransporto triukšmo sklaidos Šiauliuose modeliavimo rezultatai, autotransporto triukšmo žemėlapiai, aplinkos triukšmo valdymo rekomendacijos. Autotransporto triukšmui modeliuoti naudotas MapNoise programinismodulis, pritaikytas darbui ArcGIS Desktop 9.1 aplinkoje. Iš rezultatų matyti, kad 7,2% visų miesto gyventojų būstų yra veikiami paros triukšmo, viršijančio leidžiamąjį triukšmo lygį (LDVN > 65 dB(A)), ir 31,2% gyventojų būstų veikiami nakties triukšmo, viršijančio leidžiamąjį triukšmo lygį (LN > 55 dB(A)). Įvertinus modeliavimo rezultatų patikimumą nustatyta, kad paros ir nakties triukšmo modeliavimo ir matavimo rezultatų neatitiktis neviršija 2,2 % ir svyruoja nuo 0,5dB(A) iki 1,1dB(A). Резюме При быстром росте урбанизации увеличивается уровень шума, создаваемого разными источниками и отрицательно влияющего на здоровье населения. Шум от автотранспорта в городах составляет около 80% от всех источников шума. В статье представлены результаты моделирования рассеяния шума от автотранспорта в городеШяуляй, карты автотранспортного шума, рекомендации по управлению шумом в окружающей среде. Приизмерении шума был использован числовой анализатор шума № 121, укомплектованный с числовым детекторомуровня RMS. Для передачи данных в персональный компьютер использована программа NorXfer. Для моделирования автотранспортного шума использован программный модуль MapNoise, приспособленный дляработы в среде ArcGIS desktop 9.1. При анализе достоверности результатов моделирования было установлено, чтоих отличие от результатов измерения шума в течение суток и ночное время не превышает 2,2% и колеблется от0,5дБ(A) до 1,1дБ(A). Результаты исследования свидетельствуют о том, что 7,2% жилых помещений городаподвергаются суточному шуму, уровень которого превышает допустимый (LDVN > 65 дБ(A)) и 31,2% жилыхпомещенийгородаподвергаютсяшумувночноевремя,уровень которогопревышаетдопустимый (LN > 55дБ(A)).
Genetic Trend and Relationship of Meatiness Traits of Different Breed Pigs Raised in Lithuania The purpose of this study was to determine the genetic trend of leanness for purebred pigs, and to determine the relations between meatiness traits, age and live weight of animals. The estimation of meatiness traits (backfat and loin lean thickness, lean meat percentage) of purebred Lithuanian White (LW), Large White (La.W), Yorkshire (Y), Landrace (L), Duroc (D) and Pietrain (P) pigs grown in breeding centres was evaluated by apparatus Piglog 105, during 2000-2006. In 2006, the average lean meat percentage of purebred pigs in the breeding centres of Lithuania ranged from 56.9% (LW) to 59.5% (D). During the observation period (2000-2006), the genetic trend of the leanness of LW was 6.9% (P < 0.001), La.W and L, respectively, was 2.2 and 2.5% (P < 0.01), D was 1.6% (P < 0.05), Y was 0.2% and P was 0.6%. A higher genetic trend of the leanness in the LW pig breed can be explained by import of English La.W boars. Correlation analysis showed that lean meat percentage of pigs is more related to backfat thickness (r = from -0.84 to -0.95, P < 0.001), than to loin lean thickness (r = from 0.11 to 0.30). Live weight of pigs had more influence on mentioned meatiness traits than age.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.