首页> 美国卫生研究院文献>Journal of Animal Science >Determining the relationship between early postmortem loin quality attributes and aged loin quality attributes using meta-analyses techniques
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Determining the relationship between early postmortem loin quality attributes and aged loin quality attributes using meta-analyses techniques

机译:使用荟萃分析技术确定早期死后里脊肉质量属性和老化的里脊肉质量属性之间的关系

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摘要

Meta-analyses techniques using 11 independent datasets were used to determine correlations between pork loin quality evaluated at 1-d postmortem and quality evaluated at 12- to 28-d postmortem. Datasets encompassed approximately 3,957 loins. The effects of aging on ventral loin surface quality were determined using a paired-T test. Ventral loin surfaces become 8% lighter (P < 0.0001), 44.5% redder (P < 0.0001), and 46% more yellow (P < 0.0001) during the aging period. Therefore, it is apparent that loin quality changes during postmortem aging. Because of this, it becomes necessary to determine the correlation between early and aged pork quality parameters. Pearson correlation coefficients within original datasets were calculated, and then sample-weighted mean correlations r¯ and variances [Var(r)] were calculated across datasets. Early postmortem ventral instrumental lightness (L*) was moderately correlated with aged ventral L* r¯ = 0.50), aged ventral visual color r¯ = −0.38), aged chop face (freshly cut) L* r¯ = 0.44), and aged chop face visual color r¯ = −0.38). Early postmortem ventral instrumental redness (a*) was moderately correlated with aged ventral a* r¯ = 0.49) and aged chop face a* r¯ = 0.46). Early postmortem ventral visual color was moderately correlated with aged ventral L* r¯ = −0.51), aged ventral color (r¯ = 0.50), aged chop face L* r¯ = −0.43), and aged chop face visual color r¯ = 0.43). However, no instrumental or visual color parameters were moderately or strongly correlated with instrumental tenderness or sensory panel ratings of tenderness and juiciness (|r¯| ≤ 0.36). Early postmortem ventral visual marbling was moderately correlated with aged ventral marbling r¯ = 0.63) and aged chop face visual marbling r¯ = 0.56). Visual marbling was not (|r¯| ≤ 0.12) correlated with instrumental tenderness or sensory panel ratings of tenderness and juiciness. Stepwise regression, using a holo-analysis approach, was used to determine the predictive ability of early postmortem ventral color, marbling, firmness, and pH on sensory panels ratings of tenderness (R2 = 0.13), juiciness (R2 = 0.09), and flavor (R2 = 0.28). Early postmortem color and marbling are important pork quality traits in consumers purchasing decisions, but are poorly related to traits associated with eating experience. Still, they may be predicative of traits associated with purchasing intent.
机译:荟萃分析技术使用11个独立的数据集来确定在1 d死后评估的猪里脊肉质量与12到28 d死后评估的猪里脊肉质量之间的相关性。数据集包括约3957里脊。老化对腹腰表面质量的影响使用配对T检验确定。在衰老期间,腰部里脊表面变轻了8%(P <0.0001),变红了44.5%(P <0.0001),变黄了46%(P <0.0001)。因此,很明显,在宰后老化过程中腰部质量会发生变化。因此,有必要确定早期和老化猪肉质量参数之间的相关性。计算原始数据集中的Pearson相关系数,然后进行样本加权平均相关 r 和方差[Var(r)]在整个数据集中进行了计算。早期死后腹侧器械轻度(L *)与老年腹侧L *呈中等相关性。 r = 0.50),老化的腹侧视觉颜色 <移动器重音=” true“> r ¯< / mo> = −0.38),老化的切面(刚切开)L * r ¯ = 0.44),然后将其剁碎面部视觉颜色<数学xmlns:mml =“ http://www.w3.org/1998/Math/MathML” id =“ eqn-1005”溢出=“ scroll”> <移动器重音=“ true”> r ¯ = −0.38)。早期验尸腹侧器具发红(a *)与老年腹侧a *呈中等相关性。 r = 0.49)和老化的切面a * <移动器重音=“ true”> r = 0.46)。早期死后腹侧视觉颜色与老年腹侧L *有中等程度的相关性。 < mover accent =“ true”> r ¯ = −0.51),腹面老化( <移动器重音=” true“> r = 0.50),岁的剁面L * r = −0.43),并且老化的印章面部视觉颜色 <移动器重音=“ true”> r ¯ = 0.43)。但是,没有任何仪器或视觉颜色参数与仪器的压痛或感觉小组的压痛和多汁程度有中度或强烈的相关性(| <数学xmlns:mml =“ http://www.w3.org/1998/Math/MathML” id =“ eqn-1012”溢出=“ scroll”> <移动者accent =“ true”> r |≤0.36)。早期尸体腹侧视觉大理石纹与老年腹侧大理石纹有中等程度的相关性 <移动器accent =“ true”> r = 0.63)和老年剁碎的面部视觉大理石花纹 <移动器重音=” true“> r < / mover> = 0.56)。视觉大理石纹不是(| <数学xmlns:mml =“ http://www.w3.org/1998/Math/MathML” id =“ eqn-1015”溢出=“ scroll”> <移动者accent =“ true”> r ¯ |≤0.12)与工具性压痛或感觉和多汁感的感官评定有关。使用整体分析方法进行逐步回归,以确定早期验尸腹侧颜色,大理石花纹,牢固度和pH对感官等级压痛(R 2 = 0.13),多汁的预测能力(R 2 = 0.09)和风味(R 2 = 0.28)。早期的尸体颜色和大理石花纹是消费者购买决定中重要的猪肉品质特征,但与与饮食体验相关的特征关系不大。尽管如此,它们可能是与购买意愿相关的特征的预测。

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