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Genetic parameter estimates for feet and leg traits in Red Angus cattle
Journal of Animal Science ( IF 2.7 ) Pub Date : 2021-11-04 , DOI: 10.1093/jas/skab256
Lane K Giess 1 , Brady R Jensen 1 , Jennifer M Bormann 1 , Megan M Rolf 1 , Robert L Weaber 1
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The objective of this study was to estimate genetic parameters for feet and leg traits, relationships within feet and leg traits, and relationships between feet and leg traits and production traits in Red Angus cattle. Subjective scores for 14 traits including body condition score (BCS), front hoof angle (FHA), front heel depth (FHD), front claw shape (FCS), rear hoof angle (RHA), rear heel depth (RHD), rear claw shape (RCS), size of hoof (SIZE), front side view (FSV), knee orientation (KNEE), front hoof orientation (FHO), rear side view (RSV), rear view (RV), and a composite score (COMP) were collected by trained evaluators on 1,720 Red Angus cattle. All traits except COMP were scored as intermediate optimum traits. Performance data, and EPD were obtained on all animals measured and a three-generation pedigree was obtained from the Red Angus Association of America (RAAA) that contained 13,306 animals. Data were modeled using a linear bivariate animal model with random additive genetic and residual effects, and fixed effects of age and contemporary group (herd-year) implemented in ASREML 4.0. Heritability estimates of BCS, FHA, FHD, FCS, RHA, RHD, RCS, SIZE, FSV, KNEE, FHO, RSV, RV, and COMP were 0.11, 0.20, 0.17, 0.09, 0.19, 0.25, 0.17, 0.36, 0.16, 0.17, 0.17, 0.30, 0.14, and 0.12, respectively. These results demonstrate feet and leg traits are lowly to moderately heritable. Strong, positive genetic correlations were observed between FHA and FHD (0.89), FHA and RHA (0.88), FHD and RHA (0.85), FHA and RHD (0.85), FHD and RHD (0.94), and FHO and KNEE (0.95), indicating these traits were highly related to each other. Strong and negative genetic correlations were observed between KNEE and FSV (−0.59) and FHO and FSV (−0.75). The strongest Pearson correlation between front limb traits (FHA, FHD, FSV, FHO, KNEE, and COMP) and Stayability EPD (STAY) was FSV (r = 0.16) and for rear limb traits (RHA, RHD, RCS, RSV, RV, and COMP) and STAY was RCS (r = −0.12). This suggests cattle with more slope to the angle of the shoulder and cattle with less evidence of hoof curl may stay in the herd longer. Further investigation into the economic viability of feet and leg trait genetic prediction with a larger population of animals is required to help validate these findings.

中文翻译:

红安格斯牛脚和腿性状的遗传参数估计

本研究的目的是估计红安格斯牛脚和腿性状的遗传参数、脚和腿性状之间的关系以及脚和腿性状与生产性状之间的关系。14个特征的主观评分,包括身体状况评分(BCS)、前蹄角(FHA)、前跟深度(FHD)、前爪形状(FCS)、后蹄角度(RHA)、后跟深度(RHD)、后爪形状(RCS)、蹄的大小(SIZE)、前侧视图(FSV)、膝关节方向(KNEE)、前蹄方向(FHO)、后侧视图(RSV)、后视图(RV)和综合得分( COMP) 由训练有素的评估人员对 1,720 头红安格斯牛进行收集。除COMP外的所有性状都被评为中间最佳性状。性能数据,所有测量的动物都获得了 EPD 和 EPD,并从美国红安格斯协会 (RAAA) 获得了包含 13,306 只动物的三代谱系。使用具有随机加性遗传和残余效应的线性双变量动物模型对数据进行建模,以及在 ASREML 4.0 中实施的年龄和当代组(牛群年)的固定效应。BCS、FHA、FHD、FCS、RHA、RHD、RCS、SIZE、FSV、KNEE、FHO、RSV、RV 和 COMP 的遗传力估计值为 0.11、0.20、0.17、0.09、0.19、0.25、0.17、0.36、0.16,分别为 0.17、0.17、0.30、0.14 和 0.12。这些结果表明脚和腿的特征具有低到中度的遗传性。在 FHA 和 FHD (0.89)、FHA 和 RHA (0.88)、FHD 和 RHA (0.85)、FHA 和 RHD (0.85)、FHD 和 RHD (0.94) 以及 FHO 和 KNEE (0.95) 之间观察到强的正遗传相关性, 表明这些特征彼此高度相关。在 KNEE 和 FSV (-0.59) 以及 FHO 和 FSV (-0.75) 之间观察到强和负的遗传相关性。前肢特征(FHA、FHD、FSV、FHO、KNEE 和 COMP)和保持 EPD(STAY)之间最强的 Pearson 相关性是 FSV(r = 0.16)和后肢特征(RHA、RHD、RCS、RSV、RV , 和 COMP) 和 STAY 是 RCS (r = -0.12)。这表明对肩角倾斜度更大的牛和蹄卷曲证据较少的牛可能会在牛群中停留更长时间。需要对更多动物的脚和腿特征遗传预测的经济可行性进行进一步调查,以帮助验证这些发现。前肢特征(FHA、FHD、FSV、FHO、KNEE 和 COMP)和保持 EPD(STAY)之间最强的 Pearson 相关性是 FSV(r = 0.16)和后肢特征(RHA、RHD、RCS、RSV、RV , 和 COMP) 和 STAY 是 RCS (r = -0.12)。这表明对肩角倾斜度更大的牛和蹄卷曲证据较少的牛可能会在牛群中停留更长时间。需要对更多动物的脚和腿特征遗传预测的经济可行性进行进一步调查,以帮助验证这些发现。前肢特征(FHA、FHD、FSV、FHO、KNEE 和 COMP)和保持 EPD(STAY)之间最强的 Pearson 相关性是 FSV(r = 0.16)和后肢特征(RHA、RHD、RCS、RSV、RV , 和 COMP) 和 STAY 是 RCS (r = -0.12)。这表明对肩角倾斜度更大的牛和蹄卷曲证据较少的牛可能会在牛群中停留更长时间。需要对更多动物的脚和腿特征遗传预测的经济可行性进行进一步调查,以帮助验证这些发现。这表明对肩角倾斜度更大的牛和蹄卷曲证据较少的牛可能会在牛群中停留更长时间。需要对更多动物的脚和腿特征遗传预测的经济可行性进行进一步调查,以帮助验证这些发现。这表明对肩角倾斜度更大的牛和蹄卷曲证据较少的牛可能会在牛群中停留更长时间。需要对更多动物的脚和腿特征遗传预测的经济可行性进行进一步调查,以帮助验证这些发现。
更新日期:2021-11-04
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