Academic literature on the topic 'Boar taint'
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Journal articles on the topic "Boar taint":
GRINWICH, D. L., R. L. CLIPLEF, and R. M. McKAY. "MEASUREMENT OF 16-ANDROSTENES (5α-ANDROST-16-EN-3-ONE/5α-ANDROST-16-EN-3α-OL) IN SALIVA OF MATURE BOARS OF TWO BREEDS FOLLOWING CASTRATION." Canadian Journal of Animal Science 68, no. 3 (September 1, 1988): 969–72. http://dx.doi.org/10.4141/cjas88-108.
Squires, E. James, Christine Bone, and Jocelyn Cameron. "Pork Production with Entire Males: Directions for Control of Boar Taint." Animals 10, no. 9 (September 16, 2020): 1665. http://dx.doi.org/10.3390/ani10091665.
Xue, J., G. D. Dial, E. E. Holton, Z. Vickers, E. J. Squires, Y. Lou, D. Godbout, and N. Morel. "Breed differences in boar taint: relationship between tissue levels boar taint compounds and sensory analysis of taint." Journal of Animal Science 74, no. 9 (1996): 2170. http://dx.doi.org/10.2527/1996.7492170x.
Kallweit, E., N. Parvizi, F. Klobasa, M. Henning, and H. Böhme. "Ebermast mit unterschiedlicher Proteinversorgung." Archives Animal Breeding 42, no. 6 (October 10, 1999): 583–92. http://dx.doi.org/10.5194/aab-42-583-1999.
Merks, JWM, EHAT Hanenberg, S. Bloemhof, and EF Knol. "Genetic opportunities for pork production without castration." Animal Welfare 18, no. 4 (November 2009): 539–44. http://dx.doi.org/10.1017/s0962728600000968.
Cameron, Jocelyn, Renee Bergeron, and Jim Squires. "PSVII-27 Early plasma androstenone concentrations may indicate extent of boar taint at slaughter." Journal of Animal Science 98, Supplement_4 (November 3, 2020): 466–67. http://dx.doi.org/10.1093/jas/skaa278.812.
Diestre, A., M. A. Oliver, M. Gispert, I. Arpa, and J. Arnau. "Consumer responses to fresh meat and meat products from barrows and boars with different levels of boar taint." Animal Science 50, no. 3 (June 1990): 519–30. http://dx.doi.org/10.1017/s0003356100005018.
Heyrman, Evert, Steven Janssens, Nadine Buys, Lynn Vanhaecke, Sam Millet, Frank A. M. Tuyttens, Jella Wauters, and Marijke Aluwé. "Developing and Understanding Olfactory Evaluation of Boar Taint." Animals 10, no. 9 (September 17, 2020): 1684. http://dx.doi.org/10.3390/ani10091684.
Bone, Christine, Jocelyn Cameron, and Jim Squires. "PSVII-33 Inter-Animal Variability in Androstenone Transport and the Potential Effect on the Development of Boar Taint." Journal of Animal Science 98, Supplement_4 (November 3, 2020): 465. http://dx.doi.org/10.1093/jas/skaa278.809.
Bone, Christine, and E. James Squires. "Nuclear Receptor Pathways Mediating the Development of Boar Taint." Metabolites 12, no. 9 (August 25, 2022): 785. http://dx.doi.org/10.3390/metabo12090785.
Dissertations / Theses on the topic "Boar taint":
Chen, Gang. "Physiological and biochemical factors responsible for boar taint /." Uppsala : Dept. of Food Science, Swedish University of Agricultural Sciences, 2007. http://epsilon.slu.se/2007110.pdf.
Nicolau, Solano Silvia IneÌs. "Characterisation of androstenone metabolism in pig liver in relation to boar taint." Thesis, University of Bristol, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.442203.
Westmacott, K. "Investigations into novel electrochemical technology for boar taint detection and vitamin analysis." Thesis, University of the West of England, Bristol, 2019. http://eprints.uwe.ac.uk/35794/.
Engesser, Diana. "Alternatives for boar taint reduction and elimination besides surgical castration and destroying testicular tissue." Doctoral thesis, Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-171901.
Gunawan, Asep [Verfasser]. "Identification of candidate genes for boar taint using RNA deep sequencing / Asep Gunawan." Bonn : Universitäts- und Landesbibliothek Bonn, 2013. http://d-nb.info/1043057390/34.
Campos, Carolina Filardi de. "Genomic selection for boar taint and carcass traits in a commercial pig line." Universidade Federal de Viçosa, 2012. http://locus.ufv.br/handle/123456789/5750.
Fundação de Amparo a Pesquisa do Estado de Minas Gerais
From the beginning of the century, advances in genotyping enabled the development of new classes of markers, among which stand out single nucleotide polymorphisms (SNPs). Due to the availability of these markers it has been proposed genomic selection, consisting of simultaneous analysis of large number of markers distributed throughout the genome; its success depends on the method used for prediction of genomic breeding values. The objective of this study was to compare the methods RR-BLUP and Bayesian LASSO to calculate estimated genomic breeding values (GEBVs) and also to determine which method provides more accurate results for genomic selection in pigs. A total of 622 boarswere genotyped for 2,500 SNPs, and phenotyped for the following traits: concentration of androstenone, concentration of skatole, backfat thickness and loin depth. The R software packages rrBLUP and BLR were used respectively for the implementation of the RR-BLUP method and Bayesian LASSO method. Genetic correlations between the traits were calculated by the correlation between the vectors of GEBVs. The Bayesian LASSO method reached higher accuracy values in three traits: concentration of androstenone (0.65), concentration of skatole (0.58) and loin depth (0.33), and RR-BLUP was more accurate (0.61) for backfat thickness. Genetic correlations calculated, show that exists a small genetic correlation (0.03) between backfat thickness and loin depth. Between the concentrations of androstenone and skatole also exists a genetic correlation (0.24)that is consistent with results from other studies. Thus, concerning to the estimates of effects of markers, for all traits the found peaks were in regions where are reported QTLs inPIGQTLdatabase and other studies.
A partir do início do século XXI, avanços na genotipagem permitiram o desenvolvimento de novas classes de marcadores, entre os quais se destacam os polimorfismos de nucleotídeos simples (SNPs). Devido à disponibilidade desses marcadores, foi proposta a Seleção Genômica, que consiste em uma análise simultânea de um grande número de marcadores distribuídos ao longo do genoma, cujo sucesso depende do método utilizado de predição de valores genéticos genômicos. O objetivo deste estudo foi comparar os métodos RR-BLUP e LASSO Bayesiano para cálculo dos valores genéticos genômicos estimados (GEBVs) e determinar qual método apresenta resultados mais acurados para a seleção genômica em suínos. Foram genotipados 622 suínos machos não castrados para 2.500 SNPs, e fenotipados para as seguintes características: concentração de androstenona, concentração de skatol, espessura de gordura subcutânea e profundidade de lombo. Os pacotes rrBLUP e BLR do software R foram utilizados respectivamente para a implementação do método RR-BLUP e LASSO Bayesiano. As correlações genéticas entre as característicasforam calculadas por meio da correlação entre os vetores de GEBVs. O método LASSO Bayesiano apresentou valores mais elevados de acurácia em três características: concentração de androstenona (0,65), concentração deskatol (0,58), e profundidade de lombo (0,33), e o RR-BLUP foi mais acurado para espessura de gordura subcutânea (0,61). As correlações genéticas calculadas, mostram que existe uma pequena correlação genética entre espessura de gordura subcutânea e profundidade de lombo (0,03). Entre as concentrações de androstenona e skatol também existe correlação genética (0,24) que é consistente com os resultados de outros estudos. Assim, com relação às estimativas de efeitos de marcadores, para todas as características os picos encontrados estão em regiões onde se encontram QTLs relatados no PIGQTLdatabase e em outros estudos.
Brinke, Ines [Verfasser]. "Genomic indicators for boar taint and fertility in Landrace and Large White populations / Ines Brinke." Bonn : Universitäts- und Landesbibliothek Bonn, 2021. http://d-nb.info/123972991X/34.
Fischer, Jochen [Verfasser]. "Development and application of new methods for the quantitation of boar taint causing compounds / Jochen Fischer." Aachen : Shaker, 2013. http://d-nb.info/1051574110/34.
Zamaratskaia, Galia. "Factors involved in the development of boar taint : influence of breed, age, diet and raising conditions /." Uppsala : Dept. of Food Science, Swedish Univ. of Agricultural Sciences, 2004. http://epsilon.slu.se/a444.pdf.
Meier-Dinkel, Lisa [Verfasser]. "Sensory Analysis of Boar Taint Compounds : Consumer Acceptance, Human Perception and Objective Evaluation / Lisa Meier-Dinkel." Aachen : Shaker, 2013. http://d-nb.info/1050342933/34.
Books on the topic "Boar taint":
Babol, Jakub. Biochemical basis for boar taint. Uppsala: Swedish University of AgriculturalSciences, 1997.
European Association for Animal Production., ed. Boar taint in entire male pigs: Proceedings of a meeting of the EAAP working group "Production and Utilisation of Meat from Entire Male Pigs" : Stockholm, Sweden, 1997. Wageningen, The Netherlands: Wageningen Pers, 1997.
Mitchell, Laine. Maman, je t'aime tant! Toronto, Ontario: Éditions Scholastic, 2015.
Bonneau, M. Measurement and Prevention of Boar Taint in Entire Male Pigs. Cardiff Academic Press, 1994.
Book chapters on the topic "Boar taint":
Squires, E. J., and M. Bonneau. "Boar taint." In Reference Module in Food Science. Elsevier, 2022. http://dx.doi.org/10.1016/b978-0-323-85125-1.00066-1.
Squires, E. J., and M. Bonneau. "BOAR TAINT | Control." In Encyclopedia of Meat Sciences, 97–103. Elsevier, 2004. http://dx.doi.org/10.1016/b0-12-464970-x/00009-x.
Bonneau, M., and E. J. Squires. "BOAR TAINT | Causes and Measurement." In Encyclopedia of Meat Sciences, 91–97. Elsevier, 2004. http://dx.doi.org/10.1016/b0-12-464970-x/00008-8.
Fàbrega, Emma. "Alternatives to castration of pigs." In Understanding the behaviour and improving the welfare of pigs, 315–60. Burleigh Dodds Science Publishing, 2021. http://dx.doi.org/10.19103/as.2020.0081.09.
Bankovska, I. B., O. M. Tsereniuk, and N. V. Krygina. "UKRAINE CONSUMERS’ SENSITIVITY TOWARDS THE “BOAR TAINT” IN PORK." In FORECASTS AND PROSPECTS OF SCIENTIFIC DISCOVERIES IN AGRICULTURAL SCIENCES AND FOOD, 76–80. Izdevnieciba “Baltija Publishing”, 2022. http://dx.doi.org/10.30525/978-9934-26-238-8-18.
Squires, E. J., and M. Bonneau. "BOAR TAINT: BIOLOGICAL CAUSES AND PRACTICAL MEANS TO ALLEVIATE IT." In Encyclopedia of Meat Sciences, 97–103. Elsevier, 2014. http://dx.doi.org/10.1016/b978-0-12-384731-7.00007-6.
Schreiner, Olive. "From The Story of an African Farm (1883)." In Literature and Science in the Nineteenth Century. Oxford University Press, 2009. http://dx.doi.org/10.1093/owc/9780199554652.003.0080.
Conference papers on the topic "Boar taint":
Mason, Alex, Olga Korostynska, Torunn Thauland Haseth, Ole Alvseike, and Marianne Sundt Sodring. "Toward detecting boar taint compounds using low. power microwave sensors." In 2019 13th International Conference on Sensing Technology (ICST). IEEE, 2019. http://dx.doi.org/10.1109/icst46873.2019.9047748.
Larzul, C., M. J. Mercat, C. Hassenfratz, C. Carillier-Jacquin, R. Comte, B. Blanchet, I. Louveau, S. Boulot, and A. Prunier. "788. Genetic determinism of boar taint in the French Landrace pig breed." In World Congress on Genetics Applied to Livestock Production. The Netherlands: Wageningen Academic Publishers, 2022. http://dx.doi.org/10.3920/978-90-8686-940-4_788.
Brinke, I., C. Groβe-Brinkhaus, K. Roth, M. J. Pröll-Cornelissen, I. Schiefler, and E. Tholen. "802. Meta-analyses for boar taint compounds in two purebred maternal lines and Piétrain-sired crosses." In World Congress on Genetics Applied to Livestock Production. The Netherlands: Wageningen Academic Publishers, 2022. http://dx.doi.org/10.3920/978-90-8686-940-4_802.
Markey, A., C. Burgeon, and N. Gengler. "786. Phenotyping strategies for an efficient and holistic approach to reduced boar taint through genomic selection." In World Congress on Genetics Applied to Livestock Production. The Netherlands: Wageningen Academic Publishers, 2022. http://dx.doi.org/10.3920/978-90-8686-940-4_786.