Review: Use and misuse of meta-analysis in Animal Science

Sauvant, Daniel; Létourneau-Montminy, Marie-Pierre; Schmidely, Philippe; Boval, Maryline; Loncke, Christelle; Daniel, Jean-Baptiste

doi:10.1017/s1751731120001688

Cited by 41 publications

(21 citation statements)

References 53 publications

(62 reference statements)

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“…It can be used as a prospective tool to study P digestibility for different feedstuffs and feeding strategies, as well as the effect of specific digestive processes on P digestive utilization. Second, given the large number of publications on P digestibility in pigs, meta-analysis, a statistical method relevant for summarizing and quantifying knowledge acquired through previously published research ( 73 , 74 ), was chosen to predict P digestibility considering dietary P forms, Ca, and exogenous phytases. Dietary forms are PP and NPP from plant, mineral, and animal ( 72 ).…”

Section: Precisely Assess Bioavailability and Evaluating The Nutritional Values Of Feed Ingredientsmentioning

confidence: 99%

Dietary Phosphorus and Calcium Utilization in Growing Pigs: Requirements and Improvements

et al. 2021

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The sustainability of animal production relies on the judicious use of phosphorus (P). Phosphate, the mined source of agricultural phosphorus supplements, is a non-renewable resource, but phosphorus is essential for animal growth, health, and well-being. P must be provided by efficient and sustainable means that minimize the phosphorus footprint of livestock production by developing precise assessment of the bioavailability of dietary P using robust models. About 60% of the phosphorus in an animal's body occurs in bone at a fixed ratio with calcium (Ca) and the rest is found in muscle. The P and Ca requirements must be estimated together; they cannot be dissociated. While precise assessment of P and Ca requirements is important for animal well-being, it can also help to mitigate the environmental effects of pig farming. These strategies refer to multicriteria approaches of modeling, efficient use of the new generations of phytase, depletion and repletion strategies to prime the animal to be more efficient, and finally combining these strategies into a precision feeding model that provides daily tailored diets for individuals. The industry will need to use strategies such as these to ensure a sustainable plant–animal–soil system and an efficient P cycle.

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Section: Precisely Assess Bioavailability and Evaluating The Nutritional Values Of Feed Ingredientsmentioning

confidence: 99%

Dietary Phosphorus and Calcium Utilization in Growing Pigs: Requirements and Improvements

et al. 2021

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“…Meta-analysis originated from medical science and is widely accepted in animal science for development of empirical nutrition models, which may help to understand a complex system or make predictions (Sauvant et al, 2019). The minimum number of studies required for a meta-analysis is a common question among scientists.…”

Section: Total Fa Digestion In Dairy Cowsmentioning

confidence: 99%

Modeling fatty acids for dairy cattle: Models to predict total fatty acid concentration and fatty acid digestion of feedstuffs

Daley

Armentano

Kononoff

et al. 2020

Journal of Dairy Science

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Development of predictive models of fatty acid (FA) use by dairy cattle still faces challenges due to high variation in FA composition among feedstuffs and fat supplements. Two meta-analytical studies were carried out to develop empirical models for estimating (1) the total FA concentration of feedstuffs, and (2) the apparent total-tract digestibility of total FA (DCFA TTa ) in dairy cows fed different fat types. In study 1, individual feedstuff data for total crude fat (EE) and FA were taken from commercial laboratories (total of 203 feeds, 1,170,937 samples analyzed for total FA, 1,510,750 samples analyzed for total EE), and data for FA composition were collected from the Cornell Net Carbohydrate and Protein System feed library. All feedstuffs were grouped into 7 classes based on their nutritional components. To predict total FA concentration (% of dry matter) for groups of feeds, the total EE (% of dry matter) was used as an independent variable in the model, and all models were linear. For forages, data were weighted using the inverse of the standard error (SE). Regression coefficients for predicting total FA from EE (% of dry matter) were 0.73 (SE, 0.04), 0.98 (0.02), 0.80 (0.02), 0.61 (0.04), 0.92 (0.03), and 0.93 (0.03), for animal protein, plant protein, energy sources, grain crop forage, by-product feeds, and oilseeds, respectively. The intercepts for plant protein and byproduct groups were different from zero and included in the models. As expected, forages had the lowest total FA concentration (slope = 0.57, SE = 0.02). In study 2, data from 30 studies (130 treatment means) that reported DCFA TTa in dairy cows were used. Data for animal description, diet composition, intakes of total FA, and DCFA TTa , were collected. Dietary sources of fat were grouped into 11 categories based on their fat characteristic and FA profile. A mixed model including the random effect of study was used to regress digested FA on FA intake with studies weighted according to the inverse of their variance (SE). Dietary intake of extensively saturated triglycerides resulted in markedly lower total FA digestion (DCFA TTa = 44%) compared with animals consuming unsaturated FA, such as Casalts of palm (DCFA TTa = 76%) and oilseeds (DCFA TTa = 73%). Cows fed saturated fats had lower total FA digestion among groups, but it was dependent on the FA profile of each fat source. The derived models provide additional insight into FA digestion in ruminants. Predictions of total FA supply and its digestion can be used to adjust fat supplementation programs for dairy cows.

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“…In addition, differences in research design, statistics, animal breed, and other technical conditions can produce variation in experimental results. These challenges can be overcome with the use of meta-analysis, a thorough statistical procedure for analyzing a combined dataset obtained from multiple research experiments [7,8]. Sauvant et al [7] reported that many publications conducted meta-analysis of N supplementation and proved it widely accepted, especially in ruminant nutrition.…”

Section: Introductionmentioning

confidence: 99%

Effects of urea supplementation on ruminal fermentation characteristics, nutrient intake, digestibility, and performance in sheep: A meta-analysis

Wahyono¹,

Sholikin²,

Konca

et al. 2022

Vet World

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Background and Aim: As a non-protein nitrogen source, urea is a popular, low cost, and easily obtained protein supplement. The objective of the present study was to perform a meta-analysis of the effects of urea supplementation on rumen fermentation and sheep performance. Materials and Methods: A total of 32 experiments from 21 articles were compiled into a dataset. The levels of dietary urea varied from 0 to 31 g/kg of dry matter (DM). Parameters observed were rumen fermentation product, nutrient intake, nutrient digestibility, and sheep performance. This dataset was analyzed using a mixed model methodology, with urea supplementation levels as fixed effects and the different experiments as random effects. Results: Increasing levels of urea were associated with increases (p=0.008) in rumen pH, butyrate (C4) production, and ammonia (NH3–N) concentration. Urea supplementation had minor effects on total volatile fatty acids (p=0.242), total protozoa (p=0.429), and the microbial N supply (p=0.619), but tended to increase methane production (CH4; p<0.001). Supplementation of urea increased the intake of dry matter (DM; p=0.004) and crude protein (CP; p=0.001). Digestibility parameters, such as DM digestibility (DMD) and CP digestibility (CPD), also increased (p<0.01) as a result of urea supplementation. Retained N (p=0.042) and N intake (p<0.001) were higher with increasing levels of urea supplementation. In terms of animal performance, supplementation of urea increased average daily gain (ADG; p=0.024), but decreased the hot carcass weight percentage (p=0.017). Conclusion: This meta-analysis reports the positive effects of urea supplementation on rumen fermentation products (i.e., pH, C4, and NH3–N), intake (DM, CP, and N), digestibility (DMD and CPD), and ADG in sheep.

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Review: Use and misuse of meta-analysis in Animal Science

Cited by 41 publications

References 53 publications

Dietary Phosphorus and Calcium Utilization in Growing Pigs: Requirements and Improvements

Dietary Phosphorus and Calcium Utilization in Growing Pigs: Requirements and Improvements

Modeling fatty acids for dairy cattle: Models to predict total fatty acid concentration and fatty acid digestion of feedstuffs

Effects of urea supplementation on ruminal fermentation characteristics, nutrient intake, digestibility, and performance in sheep: A meta-analysis

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