BREED DIFFERENCES IN UTERINE AND OVARIAN MEASUREMENTS IN GESTATING SWINE

BREED DIFFERENCES IN UTERINE AND OVARIAN MEASUREMENTS IN GESTATING SWINE
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DOI:
10.2527/jas1987.653685x
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发表时间:
1987-09-01
影响因子:
3.3
通讯作者:
TOELLE, VD
TOELLE, VD
中科院分区:
农林科学2区
文献类型:
--
作者:
DAVIS, KL;ROBISON, OW;TOELLE, VD

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分别测定杜洛克(199)和约克郡(114)后备母猪妊娠10天和35 d时的排卵率、卵巢重量、黄体重量和子宫长度。胚胎在第35天进行反击。约克郡的黄体数量明显多于杜洛克郡(第10天为13.6 vs 12.3;第35天为13.9 vs 12.4)。在10 d时,不同品种的子宫长度没有差异,但在35 d时,杜洛克的子宫比约克郡的更长(P < 0.01),尽管胚胎数量较少(P < 0.05)(9.9比10.5)。10 d和35 d卵巢重量在品种间无显著差异。均匀性分析表明,35 d的相关矩阵在品种间存在显著差异,但在10 d时无显著差异。杜洛克的总胚数与黄体数呈高度正相关。卵巢重量(0.53),黄体重量(0.53)。25),而在约克郡,相应的相关性很小(。21, - 0.02和- 0.03)。在约克郡,胚胎总存活率与黄体数(- 0.55)、卵巢重(- 0.30)和黄体重(- 0.55)呈极显著负相关,而在杜洛克郡,相关系数较小(- 0.12、- 0.55)。分别为14和- 0.10)。这些结果表明,动物科学家在设计或解释实验时应考虑品种性能水平的差异及其性状之间的关系。
Ovulation rate, ovary weight, corpora lutea weight and uterine length were measured at 10 or 35 d of gestation in Duroc (199) and Yorkshire gilts (114). Embryos were countered at d 35. Yorkshires had significantly more corpora lutea than Durocs (13.6 vs 12.3 at d 10; 13.9 vs 12.4 at d 35). At d 10 breeds did not differ in uterine length, but by d 35 Duroc uteri were longer (P < .01) than Yorkshire uteri (411 vs 375 cm) despite having fewer (P > .05) embryos (9.9 vs 10.5). Ovary weight did not differ between breeds at 10 or 35 d. Homogeneity analyses showed that the correlation matrices were significantly different between breeds at d 35 but not at d 10. In Durocs, high positive correlations existed between total embryo number and corpora lutea number (.57), ovary weight (.53) and corpora lutea weight (.25), whereas corresponding correlations were small in Yorkshires (.21, -.02 and -.03, respectively). In Yorkshires, strong negative correlations existed between total embryo survival and corpora lutea number (-.55), ovary weight (-.30) and corpora lutea weight (-.55), but in Durocs corresponding correlations were small (-.12, .14 and -.10, respectively). These results suggest that animal scientists should consider breed differences in levels of performance and its relationships among traits when designing or interpreting experiments.