...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Canadian Journal of Animal Science >Using body measurements to estimate body weight in gilts
【24h】

Using body measurements to estimate body weight in gilts

机译：使用身体测量来估计吉尔的体重

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The absence of a scale on pig farms has led to indirect body weight (BW) estimation using regression models based on body measurements. The objectives of the present study were to (1) develop prediction equations for weight estimation in gilts using body measurements (FF: flank-to-flank distance; L: length; HG: heart girth; BF2: ultrasound backfat measurement; LD: loin depth; and BCS: body condition score) and (2) validate the use of an existing prediction equation for BW in gilts (HG(2) x L x 69.3 = HGLW), only used for finishing pigs. Data set A (derivation, Large White x Landrace) included 42 gilts at first insemination, 45 gilts at the end of first gestation, and 58 gilts at weaning. Data set B (validation, Large White x Landrace) comprised of 14 gilts at first insemination, 15 gilts at the end of first gestation, and 19 gilts at weaning. Models were developed for each physiological state but a better BW prediction was obtained from an overall model, including an adjustment for physiological state (S1 and S2): -168.89 +1.06L +1.28HG +58.02S1 +33.03S2 +10.92BCS -1.10BF2 (adjusted R-2 = 0.90). This model was validated under conditions found in the present study. Estimations using HGLW showed greater residual means than regression models.
机译：养猪场的缺乏导致使用基于身体测量的回归模型的间接体重（BW）估计。本研究的目的是使用体测量（FF：侧面距离; L：长度; Hg：心周长; BF2：超声波饮料测量; LD：LO：LOIN深度;和BCS：身体条件得分）和（2）验证用于在GILTS中的BW的现有预测方程的使用（HG（2）x L x 69.3 = hglw），仅用于精加工猪。数据集A（推导，大白x Landrace）包括42个授权，在首次妊娠结束时45次吉尔，断奶时有58个吉尔。数据集B（验证，大白X Landrace）由第一次授精14个吉尔，在首次妊娠结束时15吉尔，断奶的吉尔特。模型是针对每个生理状态开发的，但是从整体模型获得更好的BW预测，包括对生理状态的调节（S1和S2）：-168.89 + 1.06L + 1.28Hg + 58.02s1 + 33.03s2 + 10.92bcs -1.10 BF2（调整后R-2 = 0.90）。该模型在本研究中发现的条件下验证。使用HGLW的估计显示出比回归模型更大的残余方式。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号