Assessment of fecal near-infrared spectroscopy to predict feces chemical composition and apparent total-tract digestibility of nutrients in pigs1

Nirea, Kahsay G; Nanclares, Marta Pérez de; Škugor, Adrijana; Afseth, Nils Kristian; Meuwissen, T.H.E.; Mydland, Liv Torunn; Øverland, Margareth

doi:10.1093/jas/sky182

Cited by 16 publications

(22 citation statements)

References 32 publications

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“…This technology has a particular interest in genetic studies concerning a high number of animals housed under conventional conditions, fed a single diet and evaluated for their genetic capacity for feed digestion. So far, it has been used in genetic studies in pigs ( Déru et al., 2021 ; Nirea et al., 2018 ; Noblet et al., 2013 ) and poultry ( Mignon-Grasteau et al., 2004 ) that were fed a single diet. A major advantage of this methodology is that a grab sample obtained in free-moving animals kept in pens is sufficient; that is particularly interesting in large size animals like pigs.…”

Section: Prediction Of De and Me Values Of Complete Feeds For Pigs And Poultrymentioning

confidence: 99%

Methodologies for energy evaluation of pig and poultry feeds: A review

Noblet

Choct

2022

Animal Nutrition

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The cost of feed represents an important part of the total cost in swine and poultry production (>60%) with energy accounting for at least 70% of feed cost. The energy value of ingredients or compound feeds can be estimated as digestible (DE), metabolisable (ME) and net energy (NE) in pigs and ME and NE in poultry. The current paper reviews the different methods for evaluating DE, ME and NE of feeds for monogastric animals and their difficulties and limits, with a focus on NE. In pigs and poultry, energy digestibility depends on the chemical characteristics of the feed, but also on technology (pelleting, for instance) and animal factors such as their health and body weight. The ME value includes the energy losses in urine that are directly dependent on the proportion of dietary N excreted in urine resulting in the concept of ME adjusted for a zero N balance (MEn) in poultry. For poultry, the concept of true ME (TME, TMEn), which excludes the endogenous fecal and urinary energy losses from the excreta energy, was also developed. The measurement of dietary NE is more complex, and NE values of a given feed depend on the animal and environmental factors and also measurement and calculation methods. The combination of NE values of diets obtained under standardised conditions allows calculating NE prediction equations that are applicable to both ingredients and compound feeds. The abundance of energy concepts, especially for poultry, and the numerous feed and animal factors of variation related to energy digestibility or ME utilisation for NE suggest that attention must be paid to the experimental conditions for evaluating DE, ME or NE content. This also suggests the necessity of standardisations, one of them being, as implemented in pigs, an adjustment of ME values in poultry for an N retention representative of modern production conditions (MEs). In conclusion, this review illustrates that, in addition to numerous technical difficulties for evaluating energy in pigs and poultry, the absolute energy values depend on feed and animal factors, the environment, and the methods and concepts. Finally, as implemented in pigs, the use of NE values should be the objective of a more reliable energy system for poultry feeds.

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Section: Prediction Of De and Me Values Of Complete Feeds For Pigs And Poultrymentioning

confidence: 99%

Methodologies for energy evaluation of pig and poultry feeds: A review

Noblet

Choct

2022

Animal Nutrition

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“…The RSQ and SECV values for CP were as follows: CP (RSQ = 0.80, SECV = 0.74) [ 37 ]. Furthermore, a calibration model was developed using NIRS to estimate pig fecal chemical composition, which performed well for CP (RSQ = 0.89, standard error of calibration (SEC) = 18.1, and SECV = 18.8) [ 38 ]. In the external validation, the correlation coefficient value for CP between the NIRS analysis and chemistry methods was 0.97, with a slope of 1.000 [ 35 ].…”

Section: Discussionmentioning

confidence: 99%

Application of Near-Infrared Reflectance Spectroscopy for Predicting Chemical Composition of Feces in Holstein Dairy Cows and Calves

Xu,

Chen,

Zhang

et al. 2023

Animals

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Traditional methods for determining the chemical composition of cattle feces are uneconomical. In contrast, near-infrared reflectance spectroscopy (NIRS) has emerged as a successful technique for assessing chemical compositions. Therefore, in this study, the feasibility of NIRS in terms of predicting fecal chemical composition was explored. Cattle fecal samples were subjected to chemical analysis using conventional wet chemistry techniques and a NIRS spectrometer. The resulting fecal spectra were used to construct predictive equations to estimate the chemical composition of the feces in both cows and calves. The coefficients of determination for calibration (RSQ) were employed to evaluate the calibration of the predictive equations. Calibration results for cows (dry matter [DM], RSQ = 0.98; crude protein [CP], RSQ = 0.93; ether extract [EE], RSQ = 0.91; neutral detergent fiber [NDF], RSQ = 0.82; acid detergent fiber [ADF], RSQ = 0.89; ash, RSQ = 0.84) and calves (DM, RSQ = 0.92; CP, RSQ = 0.89; EE, RSQ = 0.77; NDF, RSQ = 0.76; ADF, RSQ = 0.92; ash, RSQ = 0.97) demonstrated that NIRS is a cost-effective and efficient alternative for assessing the chemical composition of dairy cattle feces. This provides a new method for rapidly predicting fecal chemical content in cows and calves.

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“…The introduction of on-line and in-line approaches for feed ingredient evaluation based on (near) infrared spectroscopy has been a vast improvement in this respect. Several macronutrients can be well quantified in feed ingredients using near infrared spectroscopy ( Prananto et al, 2020 ), and the potential to quantify variation in digestibility of macronutrients or energy from near infrared spectra of fecal samples has been identified as promising ( Bastianelli et al, 2015 ; Nirea et al, 2018 ), particularly so for crude protein. The implied correlation of digestibility to complete near infrared spectra of feces rather than individual chemical entities, however, introduces risks for spurious associations.…”

Section: Introductionmentioning

confidence: 99%

ASAS-NANP symposium: digestion kinetics in pigs: the next step in feed evaluation and a ready-to-use modeling exercise

Gerrits

Schop

Vries

et al. 2021

Journal of Animal Science

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Growing importance of upcycling agricultural by-products, food waste, and food processing by-products through livestock production strongly increased the variation in the nutritional quality of feed ingredients. Traditionally, feed ingredients are evaluated based on their measured extent of digestion. Awareness increases that in addition to the extent, the kinetics of digestion affects the metabolic fate of nutrients after absorption. Together with a growing body of evidence of complex interactions occurring within the lumen of the digestive tract, this urges the need of developing new approaches for feed evaluation. In a recently developed approach, we propose combining in vitro and in silico methods for feed ingredient evaluation. First steps in the development of such a systems were made by (1) evaluating in vitro the digestion potential of feed ingredients, regarding this as true ingredient properties and (2) predicting in silico the digestive processes like digesta transit, nutrient hydrolysis and absorption using dynamic, mechanistic modeling. This approach allows to evaluate to what extent the digestion potential of each ingredient is exploited in the digestive tract. Future efforts should focus on modeling digesta physicochemical properties and transit, applying in vitro digestion kinetic data of feed ingredients in mechanistic models, and generating reliable in vivo data on nutrient absorption kinetics across feed ingredients. The dynamic modeling approach is illustrated by a description of a modeling exercise that can be used for teaching purposes in digestive physiology or animal nutrition courses. A complete set of equations is provided as an on-line supplement, and can be built in modeling software that is freely available. Alternatively, the model can be constructed using any modeling software that enables the use of numerical integration methods.

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Assessment of fecal near-infrared spectroscopy to predict feces chemical composition and apparent total-tract digestibility of nutrients in pigs1

Cited by 16 publications

References 32 publications

Methodologies for energy evaluation of pig and poultry feeds: A review

Methodologies for energy evaluation of pig and poultry feeds: A review

Application of Near-Infrared Reflectance Spectroscopy for Predicting Chemical Composition of Feces in Holstein Dairy Cows and Calves

ASAS-NANP symposium: digestion kinetics in pigs: the next step in feed evaluation and a ready-to-use modeling exercise

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