Technical note: Optimizing sample size for broiler chicken and pig intestinal histomorphometry and prediction equations.

IF 2.7 2区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE
Emmanuel O Alagbe,Jung Yeol Sung,Kylee Lindsey,Jonathan A Pasternak,Olayiwola Adeola
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Abstract

Intestinal villi are subject to natural variation within the same sample, and there is no established standard for the number of unique measurements needed for reliable histomorphometry in broiler chickens and pigs. Furthermore, intestinal morphology assessment in monogastric animals typically focuses on villus height, crypt depth, and the villus height to crypt depth ratio. However, limited attention has been given to additional morphology indices such as villus perimeter and area, largely due to the time and resources required for consistent estimates. Therefore, the objectives of this experiment were: 1) to estimate the minimum number of villi required to minimize the intra-sample coefficient of variation (CV) for each intestinal morphology index, and 2) to determine whether more complex metrics, such as villus perimeter and area, can be accurately predicted from linear measurements. A set of 1,283 intestinal morphology data points from 68 intestinal tissues of 4 animal experiments were used for the analysis in broiler chickens. For pigs, a set of 1,368 intestinal morphology data points was used from a single experiment involving 98 nursery-age animals. The NLIN, CORR, and REG procedures of SAS were used for broken-line analysis, correlation coefficients, and prediction equations, respectively. The analysis indicates that measurements from 11 villi per sample in broiler chickens and 10 villi per sample in pigs are necessary to minimize intra-sample variation. In jejunum and ileum respectively, the villus height was highly correlated (P < 0.05) with villus perimeter (r = 0.95 and 0.87) and villus area (r = 0.77 and 0.63). Additionally, the coefficient of determination (R2) for predicting villus area in the jejunum and ileum using villus height, villus base width, and villus mid width values were significant for broiler chickens (P < 0.01). The best-fit equation generated for predicting villus area in the jejunum was villus area = -0.136 + 0.195 × villus height + 0.123 × villus base width + 0.532 × villus mid width (R2 = 0.92; RMSE = 0.01), while in the ileum, it was villus area = -0.069 + 0.136 × villus height + 0.122 × villus base width + 0.337 × villus mid width (R2 = 0.86; RMSE = 0.02). In conclusion, this study provides the minimum number of intestinal villi required for consistent morphological assessment, relationships among intestinal histomorphometric indices, and equations for predicting villus perimeter and area from villi linear measurements.
技术说明:优化肉鸡和猪肠道组织形态计量和预测方程的样本量。
在同一样品中,肠绒毛受到自然变化的影响,并且对于肉鸡和猪的可靠组织形态测量所需的独特测量次数没有既定的标准。此外,单胃动物的肠道形态评估通常侧重于绒毛高度、隐窝深度以及绒毛高度与隐窝深度之比。然而,对绒毛周长和面积等其他形态学指标的关注有限,这主要是由于需要时间和资源进行一致的估计。因此,本实验的目的是:1)估计使每个肠道形态指数的样本内变异系数(CV)最小化所需的最小绒毛数量;2)确定是否可以通过线性测量准确预测更复杂的指标,如绒毛周长和面积。采用4个动物实验68个肠组织的1283个肠形态数据点对肉鸡进行分析。对于猪,使用了来自98只育龄动物的一组1,368个肠道形态数据点。采用SAS的NLIN、CORR和REG程序分别进行折线分析、相关系数分析和预测方程分析。分析表明,肉鸡每个样本11个绒毛和猪每个样本10个绒毛的测量值对于最小化样本内差异是必要的。空肠和回肠的绒毛高度分别与绒毛周长(r = 0.95和0.87)和绒毛面积(r = 0.77和0.63)高度相关(P < 0.05)。此外,用绒毛高度、绒毛基部宽度和绒毛中宽度值预测肉鸡空肠和回肠绒毛面积的决定系数(R2)极显著(P < 0.01)。预测空肠绒毛面积的最佳拟合方程为:绒毛面积= -0.136 + 0.195 ×绒毛高度+ 0.123 ×绒毛基部宽度+ 0.532 ×绒毛中宽度(R2 = 0.92;回肠绒毛面积= -0.069 + 0.136 ×绒毛高+ 0.122 ×绒毛基宽+ 0.337 ×绒毛中宽(R2 = 0.86;Rmse = 0.02)。总之,本研究提供了一致性形态学评估所需的最小肠绒毛数量,肠组织形态计量指标之间的关系,以及通过绒毛线性测量预测肠绒毛周长和面积的方程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of animal science
Journal of animal science 农林科学-奶制品与动物科学
CiteScore
4.80
自引率
12.10%
发文量
1589
审稿时长
3 months
期刊介绍: The Journal of Animal Science (JAS) is the premier journal for animal science and serves as the leading source of new knowledge and perspective in this area. JAS publishes more than 500 fully reviewed research articles, invited reviews, technical notes, and letters to the editor each year. Articles published in JAS encompass a broad range of research topics in animal production and fundamental aspects of genetics, nutrition, physiology, and preparation and utilization of animal products. Articles typically report research with beef cattle, companion animals, goats, horses, pigs, and sheep; however, studies involving other farm animals, aquatic and wildlife species, and laboratory animal species that address fundamental questions related to livestock and companion animal biology will be considered for publication.
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