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

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 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.

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Publication Details

Journal
Journal of Animal Science
Published
2025-01-01
DOI
https://doi.org/10.1093/jas/skaf160
Citations
4
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
7.27
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article

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

O. Adeola, Emmanuel O Alagbe, Jung Yeol Sung, Kylee Lindsey et al.
4 citations
Journal of Animal Science
Genetic and phenotypic traits in livestock
7.27
article

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

O. Adeola, Emmanuel O Alagbe, Jung Yeol Sung, Kylee Lindsey, Jonathan A Pasternak
article en
4 citations

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 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.

Journal of Animal ScienceVol. 103
Purdue University West Lafayette (US)
Openalex Percentile: Top 3%
Genetic and phenotypic traits in livestock
7.27
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