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R. Xiong - One of the best experts on this subject based on the ideXlab platform.
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Prediction of Poultry Meat Tenderness Using Razor Blade Shear, Allo‐Kramer Shear, and Sarcomere Length
Journal of Food Science, 2004Co-Authors: L. C. Cavitt, J. F. Meullenet, G. W. Youm, Casey M. Owens, R. XiongAbstract:: This study was conducted to evaluate a new shearing method for the determination of poultry Meat Tenderness. Breast fillets were deboned at various postmortem times (0.25 to 24 h) to yield a vast array of Tenderness levels. A trained descriptive panel was used to evaluate samples for attributes including initial hardness and chewdown hardness; instrumental measurements included Allo-Kramer (AK) and razor blade (RB) shear and laser sarcomere length determination. The RB shear method exhibited a higher correlation to sensory attributes than the AK method, suggesting that the new razor blade shear method is more advantageous in predicting poultry Meat Tenderness than the standard AK shear method. This new method not only has a higher sensory predictive value, but also requires shorter sample preparation time than the AK shear test because it is conducted on intact fillets.
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prediction of poultry Meat Tenderness using razor blade shear allo kramer shear and sarcomere length
Journal of Food Science, 2004Co-Authors: L C Cavi, G. W. Youm, Casey M. Owens, J F Meullene, R. XiongAbstract:: This study was conducted to evaluate a new shearing method for the determination of poultry Meat Tenderness. Breast fillets were deboned at various postmortem times (0.25 to 24 h) to yield a vast array of Tenderness levels. A trained descriptive panel was used to evaluate samples for attributes including initial hardness and chewdown hardness; instrumental measurements included Allo-Kramer (AK) and razor blade (RB) shear and laser sarcomere length determination. The RB shear method exhibited a higher correlation to sensory attributes than the AK method, suggesting that the new razor blade shear method is more advantageous in predicting poultry Meat Tenderness than the standard AK shear method. This new method not only has a higher sensory predictive value, but also requires shorter sample preparation time than the AK shear test because it is conducted on intact fillets.
Camila Urbano Braz - One of the best experts on this subject based on the ideXlab platform.
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Sliding window haplotype approaches overcome single SNP analysis limitations in identifying genes for Meat Tenderness in Nelore cattle
BMC genetics, 2019Co-Authors: Camila Urbano Braz, Jeremy F. Taylor, Tiago Bresolin, Rafael Espigolan, Lucia Galvão De Albuquerque, Fernando Baldi, Fabieli L. B. Feitosa, Roberto Carvalheiro, Henrique Nunes De OliveiraAbstract:Traditional single nucleotide polymorphism (SNP) genome-wide association analysis (GWAA) can be inefficient because single SNPs provide limited genetic information about genomic regions. On the other hand, using haplotypes in the statistical analysis may increase the extent of linkage disequilibrium (LD) between haplotypes and causal variants and may also potentially capture epistastic interactions between variants within a haplotyped locus, providing an increase in the power and robustness of the association studies. We performed GWAA (413,355 SNP markers) using haplotypes based on variable-sized sliding windows and compared the results to a single-SNP GWAA using Warner-Bratzler shear force measured in the longissimus thorasis muscle of 3161 Nelore bulls to ascertain the optimal window size for identifying the genomic regions that influence Meat Tenderness. The GWAA using single SNPs identified eight variants influencing Meat Tenderness on BTA 3, 4, 9, 10 and 11. However, thirty-three putative Meat Tenderness QTL were detected on BTA 1, 3, 4, 5, 8, 9, 10, 11, 15, 17, 18, 24, 25, 26 and 29 using variable-sized sliding haplotype windows. Analyses using sliding window haplotypes of 3, 5, 7, 9 and 11 SNPs identified 57, 61, 42, 39, and 21% of all thirty-three putative QTL regions, respectively; however, the analyses using the 3 and 5 SNP haplotypes, cumulatively detected 88% of the putative QTL. The genes associated with variation in Meat Tenderness participate in myogenesis, neurogenesis, lipid and fatty acid metabolism and skeletal muscle structure or composition processes. GWAA using haplotypes based on variable-sized sliding windows allowed the detection of more QTL than traditional single-SNP GWAA. Analyses using smaller haplotypes (3 and 5 SNPs) detected a higher proportion of the putative QTL.
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Sliding window haplotype approaches overcome single SNP analysis limitations in identifying genes for Meat Tenderness in Nelore cattle
BMC Genetics, 2019Co-Authors: Camila Urbano Braz, Jeremy F. Taylor, Tiago Bresolin, Rafael Espigolan, Lucia Galvão De Albuquerque, Fernando Baldi, Fabieli L. B. Feitosa, Roberto Carvalheiro, Henrique N. OliveiraAbstract:Background Traditional single nucleotide polymorphism (SNP) genome-wide association analysis (GWAA) can be inefficient because single SNPs provide limited genetic information about genomic regions. On the other hand, using haplotypes in the statistical analysis may increase the extent of linkage disequilibrium (LD) between haplotypes and causal variants and may also potentially capture epistastic interactions between variants within a haplotyped locus, providing an increase in the power and robustness of the association studies. We performed GWAA (413,355 SNP markers) using haplotypes based on variable-sized sliding windows and compared the results to a single-SNP GWAA using Warner-Bratzler shear force measured in the longissimus thorasis muscle of 3161 Nelore bulls to ascertain the optimal window size for identifying the genomic regions that influence Meat Tenderness. Results The GWAA using single SNPs identified eight variants influencing Meat Tenderness on BTA 3, 4, 9, 10 and 11. However, thirty-three putative Meat Tenderness QTL were detected on BTA 1, 3, 4, 5, 8, 9, 10, 11, 15, 17, 18, 24, 25, 26 and 29 using variable-sized sliding haplotype windows. Analyses using sliding window haplotypes of 3, 5, 7, 9 and 11 SNPs identified 57, 61, 42, 39, and 21% of all thirty-three putative QTL regions, respectively; however, the analyses using the 3 and 5 SNP haplotypes, cumulatively detected 88% of the putative QTL. The genes associated with variation in Meat Tenderness participate in myogenesis, neurogenesis, lipid and fatty acid metabolism and skeletal muscle structure or composition processes. Conclusions GWAA using haplotypes based on variable-sized sliding windows allowed the detection of more QTL than traditional single-SNP GWAA. Analyses using smaller haplotypes (3 and 5 SNPs) detected a higher proportion of the putative QTL.
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Polymorphism analysis in genes associated with Meat Tenderness in Nelore cattle
Meta Gene, 2018Co-Authors: Camila Urbano Braz, Jeremy F. Taylor, Jared E. Decker, Tiago Bresolin, Rafael Espigolan, D. A. Garcia, Daniel Gustavo Mansan Gordo, Ana Fabrícia Braga Magalhães, Lucia Galvão De Albuquerque, Henrique Nunes De OliveiraAbstract:Abstract The aims of this study were to identify haplotyped loci associated with Meat Tenderness (WBSF) in candidate genes and to search for new polymorphisms in these regions that influence such trait in Nelore cattle. Fifty-two genes that had previously been associated with WBSF or that have biological functions that may influence Tenderness were chosen for the haplotype association analysis in 1657 animals. Of the 52 tested candidate genes, two haplotyped loci located in ASAP1 and CAPN1 were significantly associated with WBSF. The effect of the significant haplotype alleles varied from −0.44 to 0.80 and −1.03 to 1.52 kg in CAPN1 and ASAP1, respectively. Exonic regions near and within these loci were chosen for sequencing to search for new polymorphisms. Four SNPs were identified in ASAP1 and seventeen in CAPN1. All SNPs detected in the sequenced regions in ASAP1 showed no association with WBSF even though two of them (rs714391435 and rs109256712) were in strong linkage disequilibrium (LD) with most SNPs that composed the significant haplotyped locus. Four SNPs located in CAPN1 were found for the first time in this study. One of them (rs1121961662) showed significant association with WBSF and is also in strong LD with all SNPs within the significant haplotyped locus in CAPN1 gene. The SNP rs1121961662 could be used as a molecular marker for this QTL and may be included in low-density arrays to improve the selection of Meat Tenderness in Bos indicus animals.
Henrique Nunes De Oliveira - One of the best experts on this subject based on the ideXlab platform.
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Sliding window haplotype approaches overcome single SNP analysis limitations in identifying genes for Meat Tenderness in Nelore cattle
BMC genetics, 2019Co-Authors: Camila Urbano Braz, Jeremy F. Taylor, Tiago Bresolin, Rafael Espigolan, Lucia Galvão De Albuquerque, Fernando Baldi, Fabieli L. B. Feitosa, Roberto Carvalheiro, Henrique Nunes De OliveiraAbstract:Traditional single nucleotide polymorphism (SNP) genome-wide association analysis (GWAA) can be inefficient because single SNPs provide limited genetic information about genomic regions. On the other hand, using haplotypes in the statistical analysis may increase the extent of linkage disequilibrium (LD) between haplotypes and causal variants and may also potentially capture epistastic interactions between variants within a haplotyped locus, providing an increase in the power and robustness of the association studies. We performed GWAA (413,355 SNP markers) using haplotypes based on variable-sized sliding windows and compared the results to a single-SNP GWAA using Warner-Bratzler shear force measured in the longissimus thorasis muscle of 3161 Nelore bulls to ascertain the optimal window size for identifying the genomic regions that influence Meat Tenderness. The GWAA using single SNPs identified eight variants influencing Meat Tenderness on BTA 3, 4, 9, 10 and 11. However, thirty-three putative Meat Tenderness QTL were detected on BTA 1, 3, 4, 5, 8, 9, 10, 11, 15, 17, 18, 24, 25, 26 and 29 using variable-sized sliding haplotype windows. Analyses using sliding window haplotypes of 3, 5, 7, 9 and 11 SNPs identified 57, 61, 42, 39, and 21% of all thirty-three putative QTL regions, respectively; however, the analyses using the 3 and 5 SNP haplotypes, cumulatively detected 88% of the putative QTL. The genes associated with variation in Meat Tenderness participate in myogenesis, neurogenesis, lipid and fatty acid metabolism and skeletal muscle structure or composition processes. GWAA using haplotypes based on variable-sized sliding windows allowed the detection of more QTL than traditional single-SNP GWAA. Analyses using smaller haplotypes (3 and 5 SNPs) detected a higher proportion of the putative QTL.
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Association of CAST2, HSP90AA1, DNAJA1 and HSPB1 genes with Meat Tenderness in Nellore cattle.
Meat science, 2018Co-Authors: Jessica Moraes Malheiros, Cruz Elena Enriquez-valencia, Bruno Oliveira Da Silva Duran, Tassiana Gutierrez De Paula, Rogério Abdallah Curi, Josineudson Augusto Ii De Vasconcelos Silva, Maeli Dal-pai-silva, Henrique Nunes De Oliveira, Luis Artur Loyola CharduloAbstract:Abstract The objective of this study was to evaluate the association of expression of CAPN1, CAPN2, CAST, HSP90AA1, DNAJA1 and HSPB1 genes with Meat Tenderness in Nellore cattle. Three experimental groups were selected by shear force (SF): moderately tender (SF = 34.3 ± 5.8 N), moderately tough (SF = 56.8 ± 7.8 N), and very tough Meat (SF = 80.4 ± 15 N). Gene expression was evaluated by real-time PCR. Expression of the CAPN1, CAPN2, CAST and CAST1 genes did not differ between groups. Expression of the CAST2 was up-regulated (P
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Polymorphism analysis in genes associated with Meat Tenderness in Nelore cattle
Meta Gene, 2018Co-Authors: Camila Urbano Braz, Jeremy F. Taylor, Jared E. Decker, Tiago Bresolin, Rafael Espigolan, D. A. Garcia, Daniel Gustavo Mansan Gordo, Ana Fabrícia Braga Magalhães, Lucia Galvão De Albuquerque, Henrique Nunes De OliveiraAbstract:Abstract The aims of this study were to identify haplotyped loci associated with Meat Tenderness (WBSF) in candidate genes and to search for new polymorphisms in these regions that influence such trait in Nelore cattle. Fifty-two genes that had previously been associated with WBSF or that have biological functions that may influence Tenderness were chosen for the haplotype association analysis in 1657 animals. Of the 52 tested candidate genes, two haplotyped loci located in ASAP1 and CAPN1 were significantly associated with WBSF. The effect of the significant haplotype alleles varied from −0.44 to 0.80 and −1.03 to 1.52 kg in CAPN1 and ASAP1, respectively. Exonic regions near and within these loci were chosen for sequencing to search for new polymorphisms. Four SNPs were identified in ASAP1 and seventeen in CAPN1. All SNPs detected in the sequenced regions in ASAP1 showed no association with WBSF even though two of them (rs714391435 and rs109256712) were in strong linkage disequilibrium (LD) with most SNPs that composed the significant haplotyped locus. Four SNPs located in CAPN1 were found for the first time in this study. One of them (rs1121961662) showed significant association with WBSF and is also in strong LD with all SNPs within the significant haplotyped locus in CAPN1 gene. The SNP rs1121961662 could be used as a molecular marker for this QTL and may be included in low-density arrays to improve the selection of Meat Tenderness in Bos indicus animals.
Lucia Galvão De Albuquerque - One of the best experts on this subject based on the ideXlab platform.
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Sliding window haplotype approaches overcome single SNP analysis limitations in identifying genes for Meat Tenderness in Nelore cattle
BMC Genetics, 2019Co-Authors: Camila Urbano Braz, Jeremy F. Taylor, Tiago Bresolin, Rafael Espigolan, Lucia Galvão De Albuquerque, Fernando Baldi, Fabieli L. B. Feitosa, Roberto Carvalheiro, Henrique N. OliveiraAbstract:Background Traditional single nucleotide polymorphism (SNP) genome-wide association analysis (GWAA) can be inefficient because single SNPs provide limited genetic information about genomic regions. On the other hand, using haplotypes in the statistical analysis may increase the extent of linkage disequilibrium (LD) between haplotypes and causal variants and may also potentially capture epistastic interactions between variants within a haplotyped locus, providing an increase in the power and robustness of the association studies. We performed GWAA (413,355 SNP markers) using haplotypes based on variable-sized sliding windows and compared the results to a single-SNP GWAA using Warner-Bratzler shear force measured in the longissimus thorasis muscle of 3161 Nelore bulls to ascertain the optimal window size for identifying the genomic regions that influence Meat Tenderness. Results The GWAA using single SNPs identified eight variants influencing Meat Tenderness on BTA 3, 4, 9, 10 and 11. However, thirty-three putative Meat Tenderness QTL were detected on BTA 1, 3, 4, 5, 8, 9, 10, 11, 15, 17, 18, 24, 25, 26 and 29 using variable-sized sliding haplotype windows. Analyses using sliding window haplotypes of 3, 5, 7, 9 and 11 SNPs identified 57, 61, 42, 39, and 21% of all thirty-three putative QTL regions, respectively; however, the analyses using the 3 and 5 SNP haplotypes, cumulatively detected 88% of the putative QTL. The genes associated with variation in Meat Tenderness participate in myogenesis, neurogenesis, lipid and fatty acid metabolism and skeletal muscle structure or composition processes. Conclusions GWAA using haplotypes based on variable-sized sliding windows allowed the detection of more QTL than traditional single-SNP GWAA. Analyses using smaller haplotypes (3 and 5 SNPs) detected a higher proportion of the putative QTL.
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Sliding window haplotype approaches overcome single SNP analysis limitations in identifying genes for Meat Tenderness in Nelore cattle
BMC genetics, 2019Co-Authors: Camila Urbano Braz, Jeremy F. Taylor, Tiago Bresolin, Rafael Espigolan, Lucia Galvão De Albuquerque, Fernando Baldi, Fabieli L. B. Feitosa, Roberto Carvalheiro, Henrique Nunes De OliveiraAbstract:Traditional single nucleotide polymorphism (SNP) genome-wide association analysis (GWAA) can be inefficient because single SNPs provide limited genetic information about genomic regions. On the other hand, using haplotypes in the statistical analysis may increase the extent of linkage disequilibrium (LD) between haplotypes and causal variants and may also potentially capture epistastic interactions between variants within a haplotyped locus, providing an increase in the power and robustness of the association studies. We performed GWAA (413,355 SNP markers) using haplotypes based on variable-sized sliding windows and compared the results to a single-SNP GWAA using Warner-Bratzler shear force measured in the longissimus thorasis muscle of 3161 Nelore bulls to ascertain the optimal window size for identifying the genomic regions that influence Meat Tenderness. The GWAA using single SNPs identified eight variants influencing Meat Tenderness on BTA 3, 4, 9, 10 and 11. However, thirty-three putative Meat Tenderness QTL were detected on BTA 1, 3, 4, 5, 8, 9, 10, 11, 15, 17, 18, 24, 25, 26 and 29 using variable-sized sliding haplotype windows. Analyses using sliding window haplotypes of 3, 5, 7, 9 and 11 SNPs identified 57, 61, 42, 39, and 21% of all thirty-three putative QTL regions, respectively; however, the analyses using the 3 and 5 SNP haplotypes, cumulatively detected 88% of the putative QTL. The genes associated with variation in Meat Tenderness participate in myogenesis, neurogenesis, lipid and fatty acid metabolism and skeletal muscle structure or composition processes. GWAA using haplotypes based on variable-sized sliding windows allowed the detection of more QTL than traditional single-SNP GWAA. Analyses using smaller haplotypes (3 and 5 SNPs) detected a higher proportion of the putative QTL.
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Polymorphism analysis in genes associated with Meat Tenderness in Nelore cattle
Meta Gene, 2018Co-Authors: Camila Urbano Braz, Jeremy F. Taylor, Jared E. Decker, Tiago Bresolin, Rafael Espigolan, D. A. Garcia, Daniel Gustavo Mansan Gordo, Ana Fabrícia Braga Magalhães, Lucia Galvão De Albuquerque, Henrique Nunes De OliveiraAbstract:Abstract The aims of this study were to identify haplotyped loci associated with Meat Tenderness (WBSF) in candidate genes and to search for new polymorphisms in these regions that influence such trait in Nelore cattle. Fifty-two genes that had previously been associated with WBSF or that have biological functions that may influence Tenderness were chosen for the haplotype association analysis in 1657 animals. Of the 52 tested candidate genes, two haplotyped loci located in ASAP1 and CAPN1 were significantly associated with WBSF. The effect of the significant haplotype alleles varied from −0.44 to 0.80 and −1.03 to 1.52 kg in CAPN1 and ASAP1, respectively. Exonic regions near and within these loci were chosen for sequencing to search for new polymorphisms. Four SNPs were identified in ASAP1 and seventeen in CAPN1. All SNPs detected in the sequenced regions in ASAP1 showed no association with WBSF even though two of them (rs714391435 and rs109256712) were in strong linkage disequilibrium (LD) with most SNPs that composed the significant haplotyped locus. Four SNPs located in CAPN1 were found for the first time in this study. One of them (rs1121961662) showed significant association with WBSF and is also in strong LD with all SNPs within the significant haplotyped locus in CAPN1 gene. The SNP rs1121961662 could be used as a molecular marker for this QTL and may be included in low-density arrays to improve the selection of Meat Tenderness in Bos indicus animals.
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Differences in global gene expression in muscle tissue of Nellore cattle with divergent Meat Tenderness
BMC Genomics, 2017Co-Authors: Larissa Fernanda Simielli Fonseca, Daniele Fernanda Jovino Gimenez, Danielly Beraldo Dos Santos Silva, Roger Barthelson, Fernando Baldi, Jesus Aparecido Ferro, Lucia Galvão De AlbuquerqueAbstract:Background Meat Tenderness is the consumer’s most preferred sensory attribute. This trait is affected by a number of factors, including genotype, age, animal sex, and pre- and post-slaughter management. In view of the high percentage of Zebu genes in the Brazilian cattle population, mainly Nellore cattle, the improvement of Meat Tenderness is important since the increasing proportion of Zebu genes in the population reduces Meat Tenderness. However, the measurement of this trait is difficult once it can only be made after animal slaughtering. New technologies such as RNA-Seq have been used to increase our understanding of the genetic processes regulating quantitative traits phenotypes. The objective of this study was to identify differentially expressed genes related to Meat Tenderness, in Nellore cattle in order to elucidate the genetic factors associated with Meat quality. Samples were collected 24 h postmortem and the Meat was not aged. Results We found 40 differentially expressed genes related to Meat Tenderness, 17 with known functions. Fourteen genes were up-regulated and 3 were down-regulated in the tender Meat group. Genes related to ubiquitin metabolism, transport of molecules such as calcium and oxygen, acid-base balance, collagen production, actin, myosin, and fat were identified. The PCP4L1 (Purkinje cell protein 4 like 1) and BoLA-DQB (major histocompatibility complex, class II, DQ beta) genes were validated by qRT-PCR. The results showed relative expression values similar to those obtained by RNA-Seq, with the same direction of expression (i.e., the two techniques revealed higher expression of PCP4L1 in tender Meat samples and of BoLA-DQB in tough Meat samples). Conclusions This study revealed the differential expression of genes and functions in Nellore cattle muscle tissue, which may contain potential biomarkers involved in Meat Tenderness.
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Differences in global gene expression in muscle tissue of Nellore cattle with divergent Meat Tenderness
BMC genomics, 2017Co-Authors: Larissa Fernanda Simielli Fonseca, Daniele Fernanda Jovino Gimenez, Roger Barthelson, Fernando Baldi, Jesus Aparecido Ferro, Danielly Beraldo Dos Santos Silva, Lucia Galvão De AlbuquerqueAbstract:Meat Tenderness is the consumer’s most preferred sensory attribute. This trait is affected by a number of factors, including genotype, age, animal sex, and pre- and post-slaughter management. In view of the high percentage of Zebu genes in the Brazilian cattle population, mainly Nellore cattle, the improvement of Meat Tenderness is important since the increasing proportion of Zebu genes in the population reduces Meat Tenderness. However, the measurement of this trait is difficult once it can only be made after animal slaughtering. New technologies such as RNA-Seq have been used to increase our understanding of the genetic processes regulating quantitative traits phenotypes. The objective of this study was to identify differentially expressed genes related to Meat Tenderness, in Nellore cattle in order to elucidate the genetic factors associated with Meat quality. Samples were collected 24 h postmortem and the Meat was not aged. We found 40 differentially expressed genes related to Meat Tenderness, 17 with known functions. Fourteen genes were up-regulated and 3 were down-regulated in the tender Meat group. Genes related to ubiquitin metabolism, transport of molecules such as calcium and oxygen, acid-base balance, collagen production, actin, myosin, and fat were identified. The PCP4L1 (Purkinje cell protein 4 like 1) and BoLA-DQB (major histocompatibility complex, class II, DQ beta) genes were validated by qRT-PCR. The results showed relative expression values similar to those obtained by RNA-Seq, with the same direction of expression (i.e., the two techniques revealed higher expression of PCP4L1 in tender Meat samples and of BoLA-DQB in tough Meat samples). This study revealed the differential expression of genes and functions in Nellore cattle muscle tissue, which may contain potential biomarkers involved in Meat Tenderness.
Casey M. Owens - One of the best experts on this subject based on the ideXlab platform.
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THE MEULLENET‐OWENS RAZOR SHEAR (MORS) FOR PREDICTING POULTRY Meat Tenderness: ITS APPLICATIONS AND OPTIMIZATION
Journal of Texture Studies, 2008Co-Authors: Y.s. Lee, Casey M. Owens, J. F. MeullenetAbstract:The Meullenet-Owens Razor Shear (MORS), recently developed for the assessment of poultry Meat Tenderness, is a reliable instrumental method. Three different studies were conducted to (1) investigate the adaptation of MORS to an Instron InSpec 2200 tester (InSpec); (2) optimize the number of replications necessary per fillet to obtain a reliable instrumental Tenderness mean; and (3) test the efficacy of a blunt version of MORS (BMORS). In study 1, the Tenderness of 157 cooked broiler breast fillets was predicted by the MORS performed with both a texture analyzer (MORS standard) and InSpec. The correlation coefficient of 0.95 was reported for the MORS energy obtained from the both tests, indicating that the MORS performed with an InSpec is equivalent to that performed on the more expensive texture analyzer. In study 2, eight shears were taken on each cooked fillet (101 fillets) to determine a recommended number of shears per fillet for the MORS. The composite hypothesis test was conducted considering the average of 8 shears as Y (representative estimated Tenderness of a fillet) and the average of 2, 3, 4, 5, 6 or 7 as X (potentials for recommended number of shears). The results showed that the optimal number of replications of the MORS for a reliable estimate of Tenderness to be four shears or greater per fillet. A blunt version of MORS (BMORS) was introduced in study 3. A total of 288 broilers (576 fillets) were deboned at eight different postmortem deboning times. Tenderness of cooked fillets was assessed by both the MORS and BMORS on the same individual fillets. Both methods were equivalent in performance for predicting broiler breast Meat Tenderness, giving a correlation coefficient of 0.99 with all instrumental parameters obtained from both methods. Tenderness intensity perceived by consumers was slightly more highly correlated to BMORS energy (r = −0.90) than MORS energy (r = −0.87). The BMORS was recommended to use especially for tough Meat because of its better discrimination ability among tough Meat. Overall, both the MORS and BMORS were proven to be reliable predictors for broiler breast Meat Tenderness. PRACTICAL APPLICATIONS The incidence of tough Meat has been a major issue the poultry industry faces. Therefore, the need to ensure consumer acceptance and the increased recognition of the importance of Tenderness has led to the development of instrumental methods for monitoring Meat Tenderness. To date, a great deal of efforts has been devoted to the development of such instrumental methods. One promising method is the Meullenet-Owens Razor Shear (MORS). The method has gained in popularity for predicting poultry Meat Tenderness because of its high reliability as well as simplicity compared with that of other industry standards (Warner-Bratzler shear or Allo-Kramer shear). The MORS is not only as reliable as the industry standards, but also more rapid because of the elimination of the sample cutting steps. The application of the MORS will be of benefit to the poultry industry as it could significantly save labor or time to implement for routine quality control.
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Prediction of Poultry Meat Tenderness Using Razor Blade Shear, Allo‐Kramer Shear, and Sarcomere Length
Journal of Food Science, 2004Co-Authors: L. C. Cavitt, J. F. Meullenet, G. W. Youm, Casey M. Owens, R. XiongAbstract:: This study was conducted to evaluate a new shearing method for the determination of poultry Meat Tenderness. Breast fillets were deboned at various postmortem times (0.25 to 24 h) to yield a vast array of Tenderness levels. A trained descriptive panel was used to evaluate samples for attributes including initial hardness and chewdown hardness; instrumental measurements included Allo-Kramer (AK) and razor blade (RB) shear and laser sarcomere length determination. The RB shear method exhibited a higher correlation to sensory attributes than the AK method, suggesting that the new razor blade shear method is more advantageous in predicting poultry Meat Tenderness than the standard AK shear method. This new method not only has a higher sensory predictive value, but also requires shorter sample preparation time than the AK shear test because it is conducted on intact fillets.
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prediction of poultry Meat Tenderness using razor blade shear allo kramer shear and sarcomere length
Journal of Food Science, 2004Co-Authors: L C Cavi, G. W. Youm, Casey M. Owens, J F Meullene, R. XiongAbstract:: This study was conducted to evaluate a new shearing method for the determination of poultry Meat Tenderness. Breast fillets were deboned at various postmortem times (0.25 to 24 h) to yield a vast array of Tenderness levels. A trained descriptive panel was used to evaluate samples for attributes including initial hardness and chewdown hardness; instrumental measurements included Allo-Kramer (AK) and razor blade (RB) shear and laser sarcomere length determination. The RB shear method exhibited a higher correlation to sensory attributes than the AK method, suggesting that the new razor blade shear method is more advantageous in predicting poultry Meat Tenderness than the standard AK shear method. This new method not only has a higher sensory predictive value, but also requires shorter sample preparation time than the AK shear test because it is conducted on intact fillets.