Alternative prediction methods of protein and energy evaluation of pig feeds
Journal of Animal Science and Biotechnology volume 8, Article number: 39 (2017)
Precise knowledge of the actual nutritional value of individual feedstuffs and complete diets for pigs is important for efficient livestock production. Methods of assessment of protein and energy values in pig feeds have been briefly described. In vivo determination of protein and energy values of feeds in pigs are time-consuming, expensive and very often require the use of surgically-modified animals. There is a need for more simple, rapid, inexpensive and reproducible methods for routine feed evaluation. Protein and energy values of pig feeds can be estimated using the following alternative methods: 1) prediction equations based on chemical composition; 2) animal models as rats, cockerels and growing pigs for adult animals; 3) rapid methods, such as the mobile nylon bag technique and in vitro methods. Alternative methods developed for predicting the total tract and ileal digestibility of nutrients including amino acids in feedstuffs and diets for pigs have been reviewed. This article focuses on two in vitro methods that can be used for the routine evaluation of amino acid ileal digestibility and energy value of pig feeds and on factors affecting digestibility determined in vivo in pigs and by alternative methods. Validation of alternative methods has been carried out by comparing the results obtained using these methods with those acquired in vivo in pigs. In conclusion, energy and protein values of pig feeds may be estimated with satisfactory precision in rats and by the two- or three-step in vitro methods providing equations for the calculation of standardized ileal digestibility of amino acids and metabolizable energy content. The use of alternative methods of feed evaluation is an important way for reduction of stressful animal experiments.
The exact knowledge of the actual nutritional value of individual feedstuffs and complete diets is indispensable for efficient animal production. Therefore, the development of methods determining protein and energy values in pig feeds has always been an important aim of nutritional research.
Research on feed energy values for different animal categories has started very early and since the 19thcentury many energy systems and equations relating energy value to crude or digestible nutrient contents have been developed. On the contrary, well-grounded methods of evaluating feeds as protein sources for monogastric animals that take into account their amino acid (AA) content and ileal digestibility have occurred more recently. In this field, studies showing that only those essential AA, which are absorbed in the small intestine can be utilized by pigs for protein synthesis , and the implementation of methods measuring ileal digestibility of protein and AA [2, 3] are the most important achievement. Ileal digestibility of AA are determined based on the difference between dietary AA intake and unabsorbed AA at the terminal ileum, whereas available AA are those absorbed from the gastrointestinal tract in a form suitable for metabolism or protein synthesis [3, 4]. There is no direct measure of AA availability. Standardized ileal digestible AA content may be a good predictor of available AA content in unprocessed feeds and for most AA in processed feeds. However, the available AA content in processed feeds may not always be accurately predicted by ileal digestibility estimates, especially for lysine, methionine, cysteine, threonine and tryptophan .
Energy value expressed either as digestible, metabolizable or net energy (DE, ME and NE, respectively) is affected primarily by total tract digestibility of nutrients. Determination of nutrient total tract digestibility in the experiments involving pigs is time-consuming and expensive, while determination of ileal digestibility of protein and AA additionally requires the use of surgically-modified animals. Therefore, more simple, rapid, and animal-sparing methods consistent with the 3R principle (reduction, replacement and refinement), are needed.
Several methods simulating digestive processes in pigs have been recently developed and incorporated into alternative energy and protein evaluation systems. Validation of these methods has been carried out by comparing the results obtained using these methods and in pigs. It has been demonstrated that they have certain limitations that should be considered when applied.
The present study outlines the currently used methods of protein and energy value determination in pigs as well as proposes and describes alternative methods and their advantages.
Principles of protein and energy value determination in pigs
Ileal digestibility of protein and amino acids
Protein value of feeds for pigs is defined as the content and proportion of essential AA available for protein synthesis and metabolic purposes. There is general agreement that ileal rather than fecal digestibility measurements represent more accurate estimates of AA availability in pig feeds [1, 5]. The method of ileal digestibility determination consists of the measurement of ileal outflow of protein and AA either by the total collection of digesta or based on the undigested marker content in digesta. Protein and AA digestibility determined in pigs may be expressed as apparent (AID), standardized (SID) or true (TID) digestibility values, depending on how endogenous gut protein and AA losses are considered in the measurement of digestibility . Two types of endogenous losses of protein and AA (EPL and EAAL, respectively) have been distinguished: basal losses defined as minimum losses in relation to the dry matter intake and independent of the dietary composition, and the extra losses caused by the content of fiber or other antinutritional factors [6, 7]. In the AID determination, the total amount of protein and AA in the ileal outflow originating both from undigested feed protein and excreted in the form of EPL/EAAL, are included in the calculations. In contrast, the amount of protein (and AA) excreted in the form of basal EPL and EAAL is calculated and subtracted from total protein (and AA) outflow when determining SID. In consequence, the SID values are higher than those of AID. It was agreed that SID values are more correct than AID to use in diets formulation, as they are more likely to be additive in mixtures of feed ingredients . The TID of protein and AA represents the digestibility of feed protein per se, but since the determination of TID in animals is practically impossible, it is limited to the in vitro methods. The SID of protein and AA can be calculated from AID of protein and AA after adjustment for basal EPL and EAAL, respectively, using following equations :
SID P - standardized ileal digestibility of protein expressed in %,
SID AA - standardized ileal digestibility of amino acids expressed in %,
AID P - apparent ileal digestibility of protein expressed in %,
AID AA - apparent ileal digestibility of amino acids expressed in %,
basal EPL – basal endogenous protein losses expressed in g per kg of dry matter intake,
basal EAAL – basal endogenous amino acid losses expressed in g per kg of dry matter intake,
P content – protein content in feed expressed in g per kg dry matter,
AA content – amino acid content in feed expressed in g per kg dry matter.
The SID values can be also calculated from TID of protein determined in vitro using equations according to Boisen . These equations are given in section describing in vitro method for prediction of ileal digestibility of protein and AA by Boisen and Fernández .
Several methods can be used for measuring ileal protein and AA outflow (including the slaughter technique, various cannulation techniques  and ileo-rectal anastomosis ) and determination of EPL and EAAL (including protein-free feeding, regression method, enzymatically hydrolyzed protein/ultra-filtration method, homoarginine method and isotope dilution technique). Advantages and disadvantages of these methods were described in details many times, e.g. [7, 13, 14].
The energy value of feeds may be expressed as the content of DE, ME, and NE, in accordance with the following steps of energy utilization by the pig: digestive utilization (energy intake – energy excreted in feces), metabolic utilization (energy digested – energy excreted in urine and gases) and net utilization (energy metabolized – heat losses) . The values of ME and NE are preferably used in many feed evaluation systems. The energy excreted in feces can be measured by the total collection of feces in a conventional balance experiment or by collecting grab samples and using the marker technique. Energy losses in urine are determined by the total collection of urine in a conventional balance experiment or via a catheter in urine bladder. Energy losses in the form of gas are either disregarded or calculated as a function of fermented cell wall content . Animal heat production can be determined by calorimetry (direct or indirect) or based on changes in body composition (slaughter technique).
Alternative methods applied in feed evaluation
There is a need for simple, inexpensive, rapid and reproducible alternative methods for routine assessment of nutrient digestibility instead of direct measurement in pigs. Nutrient digestibility including ileal digestibility of protein and AA and energy value in pig feeds can be estimated using the following alternative methods: i) prediction equations based on chemical composition; ii) animal models, such as rat, cockerels and growing pigs for adult animals; and iii) rapid methods as the mobile nylon bag technique and in vitro methods.
Prediction equations based on chemical composition
A number of different equations for calculating the energy value of pig feeds from their chemical composition have been developed and used. One of the oldest and well-documented set of equations was developed as the so-called Rostock system based on the nutrients analyzed using the Weende method . The system was later updated and extended to include more nutrients (starch and sugars) . Another set of equations was proposed by Noblet and Perez , who determined the content of DE and ME in 114 pig diets differing widely in chemical composition. It has been reported that satisfactory precision of DE and ME assessment based on chemical characteristics can be achieved using ash, crude protein, ether extract and neutral detergent fiber contents as predictors (Table 1), but several equations comprising other set of components have been also proposed .
Various systems of feed energy evaluation based on chemical composition are currently used worldwide in intensive pig production. However, other verification methods of the energy values of feeds produced with new technologies and from non-conventional raw materials are often needed.
In contrast to the energy values, only few equations have been proposed for the prediction of protein and AA ileal digestibility in feedstuffs for growing pigs. Moreover, these equations were calculated using a low sample number of only several feedstuffs. Hall et al.  used crude protein, neutral detergent fiber and protein associated with neutral detergent fiber as predictors to estimate AID of protein and AA in eleven different feedstuffs (seven cereals or cereal fractions, two oilseed meals and two animal products). It has been shown that content of crude protein, neutral detergent fiber and nitrogen associated with neutral detergent fiber can be used as predictors (R 2 = 0.95, 0.93, 0.92 and 0.96, respectively) of AID of protein, lysine, threonine and methionine in feedstuffs for pigs . To my knowledge, there have been only one published study relating SID of protein and AA in feedstuffs to their chemical composition. Février et al.  have compared SID of main AA and chemical composition of two oilseed meals and reported that the content of ash, fat, nitrogen, protein associated with neutral detergent fiber and of gossypol were useful as predictors to estimate SID of lysine, threonine and tryptophan (R 2 = 0.993, 0.983 and 0.959, respectively) only in cotton seed meal, but not in palm kernel meals .
No need to sacrifice the animal and conduct laboratory experiments is the advantage of using prediction equations for feed value estimations. However, the validity of prediction of energy and protein values for different feeds based on chemical composition depends on the appropriate choice of equations and accuracy of analytical methods, and may be limited by the presence of factors or processes decreasing the assimilation of nutrients.
Small monogastric animals have been widely used as a model for growing pigs in digestibility studies. Advantages of the experiments on laboratory animals are their low body weight and food intake.
It was shown that the rat is a suitable animal model for pigs in studies on the ileal digestibility of protein and AA [22–28] and total tract digestibility of energy or energy value [29–32] in many single feedstuffs and complete diets. For the determination of ileal digestibility in rats, the slaughter method of digesta collection was used and the ileal digestibility values were compared with those obtained in pigs using T-cannulation [22, 28] or the slaughter technique [23, 24, 27].
The detailed experimental procedures aimed at the optimizing ileal digestibility determination in rats have been studied. The animals are housed individually in metabolic cages in room with controlled temperature and 12-h light/dark cycle. Fresh water is available at all time. The following feeding systems have been used: single meal in the morning [23, 26, 28, 33, 34], few equal meals [24, 27] or ad libitum feeding [22, 25]. Optimum time of sampling after the start of feeding and site in the ileum for collecting digesta have been also investigated [26, 33, 34]. It has been reported that the ileal digestibility of protein was relatively constant over the sampling times of 3-6 h following a meal, but was the least variable 4 h after meal [26, 34]. Ileal digestibility of protein was lower when digesta were taken over 20 cm of distal ileum in comparison with shorter sampling lengths  and was similar when digesta were taken from shorter site than distal 20 cm . It has been recommended to collect ileal digesta 4 h post-feeding from the distal 10 cm of ileum . Due to small volume of digesta sampled from each animal, it is necessary to pool samples from few animals or use very sensitive methods of analysis.
In some comparative studies, ileal digestibility of protein and AA in rats and pigs were expressed only as AID [22, 24]. Therefore, for the need of present paper, the AID values for protein and main AA reported for pigs and rats [22, 24] have been recalculated to SID ones and the equations predicting pig SID from rat SID values have been computed (Table 2). Values of basal EPL and EAAL for rat were calculated as mean value from data available in literature [25, 27, 28, 33, 35–42], whereas tabulated values according to Rademacher et al.  were taken for pigs (Table 3). Generally, EAAL in rats were lower or similar to tabulated values of EAAL in pigs. Among the main AA, the biggest differences between pigs and rats were obtained for lysine and threonine. A close relationship (R 2 = 0.759, 0.929, 0.761, 0.887 and 0.947 for protein, lysine, cysteine, threonine and isoleucine, respectively) between SID of protein and main AA (with exception of methionine) determined in pigs and rats have been found (Table 2). Based on presented results, it can be concluded that the laboratory rat can be used as a model for determination of SID of AA in pig feeds, especially lysine, isoleucine and threonine. However, rat assay may not be suitable for all types of feedstuffs. It was shown that the ileal digestibility of protein and AA in pea was higher in rats than in pigs [22, 28] probably due to their smaller sensitivity to tannins present in peas .
Rats have been tested also as a model for predicting energy value of pig feeds. In majority of experiments, apparent total tract digestibility (ATTD) of energy and DE value of single feedstuffs and diets were determined [29–31]. Similar DE values of diets differing in gross energy (3.2 and 3.9 cal/g) and protein content (14% and 18% crude protein) were reported by Likuski et al.  and of four cereals by Smith et al. . A close relationship between ATTD of energy and energy value of feedstuffs and diets determined in pigs and rats was also found by Furuya et al. , Smith et al. , Beames et al.  and Jørgensen and Lindberg . Equations describing these relationships are given in Table 4. Higher energy values of high-fiber diets for pigs than rats  are probably due to a greater ability of pigs to digest crude fiber, whereas higher DE of oats for rats than pigs  may be related to higher digestibility of fat in rodents.
It can be concluded that in spite of some anatomical and physiological differences between the two species  rat may be a useful model for pigs for estimation of ATTD of energy of feedstuffs and diets with moderate fiber and fat content.
Results of experiments on the use of birds as a model for predicting the energy value of pig diets are inconsistent. A close relationship (R 2 = 0.939) was found between the true ME of five samples of low-fiber cereals determined in cockerels and apparent DE determined in growing pig, whereas the ME values of high-fiber cereal (oat) differed greatly between the two species . Lack of correlation (R 2 = 0.03) between apparent ME of 39 barleys determined in chickens and DE measured in pigs was reported by Zijstra et al.  and a rather low correlation (R 2 = 0.697) between ME values of 70 feedstuffs and 14 mixed feeds determined in both species was found by Sibbald et al. . The correlations were increased when barley diets fed to birds were supplemented with ß-glucanase (R 2 = 0.56)  and when fiber content was included into the equations (R 2 = 0.699, 0.858, 0.923 and 0.833 vs. 0.697, 0.775, 0.885 and 0.710, respectively) in the study of Sibbald et al. . Equations describing relationship between ME values determined in cockerels and pigs  are presented in Table 5. It is concluded that birds are not a good model for predicting energy value of pig diets.
There have been no data on using cockerels as model for prediction of ileal digestibility of protein and AA in pig diets.
Growing pigs as a model for adults
The energy values of many feedstuffs and diets have been compared between growing pigs and adult sows [51–53]. The DE values of 67 diets determined in adult sows and growing pigs were closely related, but were higher in adult sows than in growing pigs. The differences were primarily due to the higher rate of degradation of dietary fiber in the large intestine of sows . A close correlation (R 2 = 0.92) between DE values of cereals and cereal containing diets determined in adult sows and growing pigs was reported also by Cozannet et al.  and between values determined in gestating sows and growing pigs by Lowell et al. . The DE values of all diets were, however, higher for gestating sows than growing pigs. Equations for predicting energy values for adult sows from values obtained for growing pigs are presented in Table 6. It can be concluded that two different energy values of feeds should be used for growing pigs and adult sows during formulation of diets .
Stein et al. [54, 55] compared ileal digestibility (AID and SID) of protein and AA in three cereals and three protein concentrates determined in growing pigs, lactating sows and gestating sows. It has been shown that lactating sows, and to a lesser extent gestating sows, had a higher AID of most of AA than growing pigs , whereas gestating sows had higher SID of most AA compared with growing pigs and lactating sows . It can be concluded that growing pigs might serve as a good model for predicting SID of AA for lactating, but not for gestating sows. However, differences in SID may be rather due to differences in feeding system (free access to feed in growing pigs and lactating sows vs restricted feeding in gestating sows) than the physiological status of animals . The advantage of measuring the energy and protein values in growing pigs instead of adult sows is a lower feed intake and easier handling of younger animals.
Rapid methods comprise the mobile nylon bag technique combining in vitro and in vivo assays, in vitro methods involving many different techniques, and near-infrared reflectance spectroscopy.
The mobile nylon mobile technique (MNBT)
The MNBT was described for the first time by Sauer et al. . Nylon bags with a small amount of feed are pre-digested in vitro with pepsin and inserted into the duodenum via cannula during feeding time. The bags can be recovered either from the feces to determine the total tract digestibility  or from ileal digesta via cannula  and from ileo-rectal anastomized pigs [58, 59] to assess ileal digestibility. The advantages of MNBT is a low amount of feed used, fewer animals needed and a relatively short time of analysis. The MNBT appeared to be a promising approach for the rapid determination of the total tract digestibility of protein in pigs . Although the ATTD of protein determined with the MNBT was lower than those determined in pigs, a close relationship (r = 0.925) was found between the results obtained using both techniques for 15 feedstuffs . After inclusion of nitrogen-free extract or crude fiber content to regression analyses, the correlation coefficient improved (r = 0.949). The study of Thacker and Qiao  showed that the modified MNBT can be used for the rapid determination of the ATTD of dry matter and energy in all feedstuffs, whereas it overestimated the ATTD of protein.
The potential use of the MNBT for determination of ileal digestibility of protein and AA has been also studied [57–59], but the results are inconsistent. Yin et al.  reported that AID of protein and AA determined with MNBT were higher than those determined with conventional methods, however, significant correlation have been found between AID of protein and AA determined with MNBT and conventional method. The highest accuracy of predicting the AID using MNBT have been obtained for arginine, valine and threonine (R 2 = 0.90, 0.81 and 0.79, respectively) and the lowest for histidine and aspartic acid (R 2 = 0.50 and 0.59, respectively). It is partially in agreement with findings of study by Steiner et al. , who found higher AID of protein and AA determined with MNBT than with conventional method, but there were no relationship (r from 0.05 to 0.33) between AID determined both techniques. In another study by Yin et al. , AID of protein and AA determined with MNBT were similar to those of a conventional digestibility study with ileo-rectal anastomized pigs. The potential use of the MNBT for determination of AID of protein and AA is limited, and its accuracy may be affected by many factors, such as sample size, fineness of grinding, antinutritional factors, handling of the retrieved bags, etc. [57, 59]. The decrease of sample weight (from 1.00 to 0.75 and 0.50 g) and of particle size (from 2 and 3 to 1 mm) increased AID of protein and AA determined with MNBT to values obtained in conventional digestibility study on ileo-rectal anastomized pigs. The AID of protein and AA of diets containing trypsin inhibitor was higher when determined with MNBT than conventionally due to not accounting for greater endogenous secretion . It can be concluded that MNBT is promising technique for rapid determination of energy values of pig feeds, however, it may not be appropriate for assessing AID of protein and AA in feeds containing trypsin inhibitor or other antinutritional factors that increase EPL and EAAL [57, 59].
In vitro methods
In vitro methods have been used for nutritional evaluation of pig feeds for more than fifty years and during that time many different in vitro techniques have been developed estimating nutrient (including AA) digestibility.
In vitro methods can be divided into four groups : i) dialysis cell methods; ii) pH-drop and pH-stat methods; iii) colorimetric methods; and iv) filtration methods; they can also be classified as simple methods in a closed system and complex methods. In vitro methods may comprise one-, two-, or three incubation steps and use different enzyme sources (industrial or natural, as digesta inocula and feces extracts).
The in vitro dialysis cells methods are based on the enzymatic digestion of protein with continuous removal of low-molecular-weight products by dialysis to prevent inhibition of enzymes activities by the end products of digestion. The first in vitro dialysis method included pre-incubation of the sample with pepsin for 30 min at 39 °C, followed by incubation with pancreatin with continuous stirring in the dialysis tube for 6 h . The dialysis method and its modifications have been used to study the kinetics of enzymatic digestion of proteins and other nutrients [64–66]. The AID of protein and AA have been estimated by modified dialysis cells method described by Huang et al. . Briefly, small amounts of samples were suspended in acid solution at pH 2.0 and digested with pepsin for 4 h at 37 °C. After adjusting pH to 7.6, the mixture were poured into dialysis tube containing phosphate buffer and trypsin and digested for 24 h at 37 °C with continuous stirring. Digestion products were collected from the external compartment by phosphate buffer circulation. Huang et al.  showed that the results obtained with this method could be affected by procedure condition, such as time of incubation, trypsin concentration, pH and the volume of incubation solution.
A significant correlations (r from 0.941 to 0.999) were found between in vitro digestibility of protein and AA determined by dialysis cell method and AID of protein and AA determined in pigs . However, correlations were calculated only for four samples: rapeseed meal, cottonseed meal and two fish meals. These authors reported that the modified dialysis cells method could be recommended as sufficiently precise for estimation of ileal digestibility of protein and AA in pig feeds. However, this method is not routinely used in feed evaluation due to the high cost of dialysis tubes.
The pH-drop  and pH-stat  assays are other simple methods used to evaluate protein quality in processed feeds. These methods are based on monitoring the changes of pH after enzymatic digestion of feed protein. In the pH-drop method, pH is recorded after a 10-min sample incubation with enzymes (mixture of trypsin, chymotrypsin and peptidase) . A close relationship (r = 0.90) was found between the pH after 10-min digestion in vitro and the ATTD of protein of 23 samples determined in rats . The advantage of this method is a simple procedure, which takes no longer than 1 h. Authors mentioned that the pH-drop method can detect the effect of trypsin inhibitor, chlorogenic acid and heat treatment on protein digestibility. A high correlation between the results of pH-drop method and protein digestibility in rats was found only for plant proteins  and the equation derived did not accurately predict protein digestibility of meat and egg products. This method has been modified by adding additional 10-min incubation with proteinase from Streptomyces griseus .
The pH-stat method records the amount of alkali added to keep the pH constant for 10 min . The consistency of pH-drop and pH-stat methods with the in vivo values measured in a great variety of feedstuffs and foods was poor [69, 71]. These authors suggested the application of different regression equations for each of feed in order to obtain a reliable estimate of protein digestibility. The pH-stat method was found to be highly reproducible in an interlaboratory study conducted by six different laboratories . In the most of studies [69, 71] the results obtained with the pH-drop and pH-stat methods have been compared only with the results obtained in experiments with rats and only with total tract digestibility of protein, but not ileal digestibility. There is only one published study  comparing results of modified pH-stat method and SID of protein determined in pigs. Initial pH (r = 0.99) and degree of protein hydrolysis after 10 min (r = 0.96), but not after 120 min, were highly correlated with SID of protein for four samples of unprocessed and heat-treated soybean meal and rapeseed meal . Both, pH-drop and pH-stat methods could provide a rapid information on protein damage of thermally processed feeds and foods. However, these methods have been used most often for monitoring of quality of thermally treated foods than feeds.
Colorimetric methods are primarily used mainly to predict starch digestibility or availability in processed feeds. The method consists of a two-step incubation with enzymes that liberate glucose or maltose. The concentration of sugars is determined after reaction with the reagents (e.g. anthrone, glucose oxidase-peroxidase, dinitrosalicylic acid) resulting in a light-absorbing products (5-hydroxymethylfurfural, quinonemine, aminonitrosalicyic acid, respectively), which is measured spectrophotometrically [74–76]. Some modifications of these methods seem to be very suitable to estimate starch availability in processed feeds.
Many different filtration methods have been developed and used mainly for the prediction of the total tract and ileal digestibility of nutrients. These methods consist of one, two or three sample incubations with enzymes in a closed system, followed by the collection of undigested residues using filtration (Table 7).
The first very simple in vitro method included only one-step incubation with pepsin . This method and its modifications were used for monitoring the quality of heat-treated feeds. Other very simple in vitro methods using different proteases, such as trypsin , papain , pronase  or rennin  have also been proposed and successfully applied. A simple one-step incubation with three different inocula from duodenal digesta (12 h), jejunal digesta (48 h), or feces extract (48 h) was described in details by Löwgren et al. . In vitro methods using inocula as a source of enzymes were used for measuring in vitro disappearance of various nutrients.
In the two-step incubation method, pepsin and pancreatin [10, 83, 84], pepsin and pronase , pepsin and trypsin  or pepsin and jejunal fluid  were applied to simulate ileal digestion of nutrients.
The AID values obtained using the two-step in vitro method based on incubations with pepsin and pancreatin according to Babinszky et al.  were closely related to the content of ileal digestible protein in seven feedstuffs and 16 diets determined in pigs (r = 0.99 and 0.95, respectively), but showed poor correlation with pig values for other 48 pig feeds (R 2 = 0.23) . A close relationship was obtained only for five samples of wheat products (R 2 = 0.93), but not beans, peas, rapeseed products and soybean products (R 2 from 0.03 to 0.60) .
Among the two-step in vitro methods, the one developed by Boisen and Fernández  is most often used for the prediction of ileal digestibility of protein and AA in feedstuffs and diets for pigs. In this method, incubation with pepsin corresponding to digestion in the stomach is followed by incubation with pancreatin, simulating the digestion in the small intestine. Each incubation is performed at optimum pH, temperature and time. Undigested residues are collected by filtration, defatted with ethanol and acetone, and analyzed for dry matter and nitrogen contents. In vitro protein digestibility is calculated from the difference between the nitrogen content in the sample and undigested residues. The values of in vitro digestibility do not include any EPL, and thus they correspond to the TID of protein .
The TID of AA is calculated based on the TID of protein, since there is a close relationship between the TID of protein and TID of the majority of AA . Equations describing the relationships between TID of protein and TID of individual AA for nine feedstuffs (barley, wheat, rye, oat, soybean meal, rapeseed meal, sunflower meal, grass meal and pea) are given in Table 8. The highest correlations were obtained for serine, histidine and tyrosine (R 2 = 0.95, 0.95 and 0.92, respectively) and the lowest for aspartic acid, proline and arginine (R 2 = 0.31, 0.56 and 0.57, respectively).
It has been shown that TID of protein determined in vitro was higher than AID of protein determined in pigs. The differences between TID and AID corresponded to total EPL. It has been reported that undigested dry matter (uDM) determined in vitro might be reliable indicator of total EPL calculated as difference between TID and AID of protein, since a close relationship between uDM and total EPL was obtained for 15 samples of single feedstuffs (R 2 = 0.61). This relation was described by following equation :
total EPL – total endogenous protein losses expressed in g per kg dry matter intake,
uDM – undigested dry matter determined in vitro expressed in g per kg dry matter.
Values obtained for meat and bone meal and barley hulls were deemed as outlayers and were not included in the regression.
The AID of protein and AA in vitro were predicted from TIDIN VITRO of protein by following equations according to Boisen and Férnandez :
AIDIN VITRO P - apparent ileal digestibility of protein predicted in vitro expressed in %,
AIDIN VITRO AA – apparent ileal digestibility of individual amino acid predicted in vitro expressed in %,
TIDIN VITRO P - true ileal digestibility of protein determined in vitro expressed in %,
uDM – undigested dry matter determined in vitro expressed in g per kg of dry matter,
P content – content of protein in feed expressed in g per kg of dry matter,
(a + b × TIDIN VITRO P) – regression equation describing the relationship between true ileal digestibilty of protein determined in vitro and true ileal digestibility of individual amino acid determined in vitro; equations are given in Table 8,
c1AA – the conversion factor from nitrogen to the individual amino acids in the total endogenous protein according to Boisen and Fernandez : for lysine 0.0281, methionine 0.0079, cysteine 0.0157, threonine 0.0413, isoleucine 0.0242, leucine 0.0393, histidine 0.0106, phenylalanine 0.0285, tyrosine 0.0217, valine 0.0345, arginine 0.0224, alanine 0.0402, aspartic acid 0.0795, glutamic acid 0.0999, glycine 0.0655, proline 0.0620, serine 0.0411,
AA content – content of individual amino acid in feed expressed in g per kg of dry matter.
The two-step in vitro method developed by Boisen and Fernández  was validated with 48 diets with known AID of protein and AA determined in pigs. The relationship for protein was considerably low (R 2 = 0.57), which was partly due to the narrow variation range in AID of protein determined in pigs . The correlation between AID of AA measured in pigs and estimated in vitro was generally higher for essential AA and lower for non-essential AA than for protein . A close relationship between the AID of AA determined in pigs and method of Boisen and Fernández  was found by Święch and Buraczewska  and Cho and Kim . Święch and Buraczewska  compared AID determined in pigs and predicted using in vitro method in 12 diets containing faba bean, pea or lupin mixed with casein as a protein source. The relationship between AID of protein determined in pigs and predicted in vitro was close (R 2 = 0.90). The correlation between in vivo and predicted in vitro values of AA AID was the highest for cysteine and methionine (R 2 = 0.94 and 0.89, respectively), whereas lower for lysine (R 2 = 0.76) and poor for threonine (R 2 = 0.43) . Cho and Kim  compared AID of protein and AA determined in pigs and predicted in vitro in ten nursery pig diets. The highest correlation was found for glycine, isoleucine and threonine (R 2 = 0.89, 0.85 and 0.83, respectively) and the lowest for proline, tyrosine and alanine (R 2 = 0.24, 0.35 and 0.40, respectively).
The SID of protein and AA in pigs were predicted from TIDIN VITRO of protein by following equations according to Boisen :
TIDIN VITRO P - true ileal digestibility of protein determined in vitro expressed in %,
uDM – undigested dry matter determined in vitro expressed in g per kg dry matter,
c2AA – conversion factor from nitrogen to AA in extra endogenous protein according to Boisen and Moughan : for lysine 0.188, methionine 0.063, threonine 0.281, tryptophan 0.075, isoleucine 0.156, leucine 0.250, histidine 0.094, phenylalanine 0.188, tyrosine 0.125, valine 0.219,
P content – protein content in feed expressed in g per kg of dry matter,
AA content – amino acid content in feed expressed in g per kg of dry matter.
A close relationship between the SID of AA determined in pigs and the two-step in vitro method of Boisen and Fernandez  was confirmed by Święch  and Jezierny et al. . The SID values of protein and AA of seven feedstuffs (after exclusion of raw soybean) determined in pigs and in vitro were closely related , the highest relationships were found for protein, phenylalanine and valine (R 2 = 0.937, 0.925 and 0.918, respectively) and the lowest for threonine (R 2 = 0.796). Only relationship for methionine was poor and not significant (R 2 = 0.477). Similar results have been obtained by Jezierny et al. , who found high correlations between SID of protein and AA of grain legumes determined in pigs and predicted in vitro. The highest relationship was obtained for tryptophan, cysteine and histidine (R 2 = 0.91, 0.91 and 0.89, respectively) and the lowest for lysine (R 2 = 0.73). It seems that the in vitro method may not be suitable for all types of feedstuffs, because it does not reflect effects of trypsin inhibitor content . In contrast, the in vitro SID of AA is close related to tannin content [28, 92].
It can be concluded that the two-step in vitro method developed by Boisen and Fernández  may be use for estimation of SID of protein and AA in pig feeds with exception of feeds containing trypsin inhibitor. However, further studies comprising evaluation of differently treated feeds would be needed.
In vitro three-step methods were developed mainly for predicting nutrients digestibility in the whole digestive tract. They involve consecutive incubations of feed samples with enzymes simulating digestion in stomach, small intestine and large intestine, such as pepsin, pancreatin and fiber-degrading enzymes [93–98] or pepsin, pancreatin and rumen fluid . Cellulase [93–95, 97, 98] and multi-enzyme viscozyme complex containing arabinose, cellulase, β-glucanase, hemicellulase, xylanase, and pectinase [96, 97] were used as fiber-degrading enzymes.
Among the three-step incubation in vitro methods, the one developed by Boisen and Fernández  was the most thoroughly tested and verified as the basis for ATTD of energy in pigs and feed energy values. In this method, sample incubation with pepsin is followed by incubations with pancreatin and with multi-enzyme complex viscozyme. Each incubation is performed at the optimum pH, temperature and time. Undigested residues are collected by filtration, defatted with ethanol and acetone, and analyzed for dry matter and ash contents. In vitro digestibility of organic matter is calculated from the difference between the content of organic matter in the sample and undigested residues.
A set of equations relating the in vitro digestibility of organic matter of a wide range of feeds to the ATTD of energy determined in pigs has been developed by Boisen and Fernández  (Table 9). When all 33 evaluated feedstuffs were included, the relationship was not satisfactory (Equation No 1; R 2 = 0.69). Elimination of raw potato starch and meat and bone meal improved greatly this relationship (Equation No 2; R 2 = 0.94), whereas further elimination of potato protein concentrate, sugar beet pulp and dried whey resulted in a rather small improvement (Equation No 3; R 2 = 0.96). Therefore, the Equation no 2 has been recommended by the authors for practical energy feed evaluation. This equation was validated using 34 feed mixtures (R 2 = 0.87) and the possibility of application of the in vitro digestible organic matter as the basis of estimation of ATTD of energy and DE in pig diets was confirmed . The ME and NE can be calculated from the DE content using equations (Table 10) provided by Boisen 
Concordance of feed energy values determined in pigs and using the three-step in vitro method described by Boisen and Fernández  was confirmed by Święch and Buraczewska  and Noblet and Juguelin-Peyraud .
The in vitro organic matter digestibility is affected by incubation conditions such as particle size, sample weight and stirring . The increase of particle size (from 1 to 3 mm) and increase of sample weight (from 0.5 to 1.0 g of some high-protein feeds) reduced the in vitro digestibility of organic matter, whereas continuous stirring appeared to be necessary during incubation of some starch-rich feedstuffs as maize, tapioca and peas and less important for digestion of wheat and barley.
Modification of the Boisen and Fernández method  consisting in replacing viscozyme by cellulase gave satisfactory results of evaluation of different barleys and barley mixtures [93–95], but decreased accuracy of predicting the ATTD of energy of wheat .
Other interesting in vitro technique is a gastrointestinal dynamic in vitro model, which mimics the processes going on in the stomach and small intestine (TIM-1)  and in the large intestine (TIM-2)  of pigs and humans. The computer-controlled TIM-1 model simulates gastric pH change, peristaltic movements, gastric emptying rates, intestinal transit times, enzyme secretion and small intestinal absorption . It comprises digestion chambers, peristaltic pump, pH electrodes, filters, and water bath. The TIM-2 model is complementary to the TIM-1 and simulates removal of fermentation products and water with peristaltic mixing to obtain and handle physiological concentration of microorganism, dry matter and microbial metabolites . Both systems are programmed to simulate physiological conditions in the gastrointestinal tract of pigs based on physiological values obtained in vivo. Meunier et al.  reported that the dynamic model may be used to estimate protein ileal digestibility;, however, it cannot be used to predict the protein and energy values of feeds differing in fiber contents. It seems that the dynamic in vitro model is a more complex, high cost system and may be an alternative for physiological studies of gastrointestinal tract in pigs.
Nutritional values of pig feeds may be also predicted using near-infrared reflectance spectroscopy (NIRS), which is a rapid, non-destructive and relatively inexpensive technique. It has been used routinely in feed industry for determination of chemical composition including AA content [106–109]. Possibility of predicting energy value of feedstuffs have been also investigated [49, 110–113] by NIRS. However, results of some studies have been not satisfactory due to the low number of samples used for calibration and relatively low variability between samples [49, 111, 112]. There have been only few published studies comparing NIRS values and ileal digestibility of protein and AA determined on pigs [112, 114]. However, in these studies calibration of NIRS was done using the predicted ileal digestibility of protein and AA determined by in vitro method described by Boisen and Fernández . The NIRS method is promising, but till now it is not sufficiently validated.
General remarks and perspectives
The use and choice of alternative methods may depend on the actual demands of feed industry and systems of pig nutrition. Also, the availability and cost of necessary materials as laboratory equipment and animal test regulations are important factors. Up to now, the alternative methods of energy evaluation based on their chemical composition and in common use in swine production. Rat tests may become necessary for determination of the effects of feed processing on both energy and protein availability. Since protein is the most costly and deficient nutrient, its proper evaluation is primordial for effective swine production. Therefore, the alternative methods of protein evaluation comprising ileal digestible amino acid content should be more widely applied.
The use of alternative methods of feed evaluation is an important way of reduction of stressful animal experiments. Dietary concentration of energy available to pigs as digestible and metabolizable energy is estimated with satisfactory precision from chemical composition of feed using equations comprising different feed components. This method is commonly used in practice. Energy value of feeds may be determined in rats as animal model with good precision for feeds with moderate fiber and fat content. It may be also assayed as digestible energy by three-step in vitro method simulating digestion of nutrients in the whole digestive tract and recalculated using validated equations according to Boisen and Fernández  and Boisen . Feed protein evaluation is presently based on determination of ileal digestibility of essential amino acids in cannulated pigs. The procedure can be replaced by measurement performed in vivo in rats or assayed by the two-step in vitro method simulating digestion of protein up to the end of the small intestine. The experimental values can be recalculated to standardized ileal digestible amino acids according to equations developed by Boisen .
Apparent ileal digestibility
Apparent total tract digestibility
Endogenous amino acids losses
Endogenous protein losses
Mobile nylon bag technique
Near-infrared reflectance spectroscopy
Standardized ileal digestibility
True ileal digestibility
In vitro model of the stomach and small intestine
In vitro model of the large intestine
Undigested dry matter determined in vitro
Żebrowska T. Digestion and absorption of nitrogenous compounds in the large intestine of pigs. Roczn Nauk Roln. 1973;95B:85–90.
Mosenthin R, Sauer WC, Blank R, Huisman J, Fan MZ. The concept of digestible amino acids in diet formulation for pigs. Livest Prod Sci. 2000;64:265–80.
Stein HH, Sève B, Fuller MF, Moughan PJ, de Lange CFM. Invited review: amino acid bioavailability and digestibility in pig feed ingredients: terminology and application. J Anim Sci. 2007;85:172–80.
Rutherfurd SM, Moughan PJ. Available versus digestible dietary amino acids. Br J Nutr. 2012;108:S298–305.
Sauer WC, Ozimek L. Digestibility of amino acids in swine: results and their practical applications. A review. Livest Prod Sci. 1986;15:367–88.
Boisen S, Moughan PJ. Dietary influences on endogenous ileal protein and amino acid loss in the pig – a review. Acta Agric Scand Sect A Animal Sci. 1996;46:154–64.
Adeola O, Xue PC, Cowieson AJ, Ajuwon KM. Basal endogenous losses of amino acids in protein nutrition research for swine and poultry. Anim Feed Sci Technol. 2016;221:274–83.
Stein HH, Pedersen C, Wirt AR, Bohlke RA. Additivity of values for apparent and standardized ileal digestibility of amino acids in mixed diets fed to growing pigs. J Anim Sci. 2005;83:2387–95.
Boisen S. A new protein evaluation system for pig feeds and its practical application. Acta Agric Scand Sect A Animal Sci. 1998;48:1–11.
Boisen S, Fernández JA. Prediction of the apparent ileal digestibility of protein and amino acids in feedstuffs and feed mixtures for pigs by in vitro analyses. Anim Feed Sci Technol. 1995;51:29–43.
Sauer WC, de Lange K. Novel methods for determining protein and amino acid digestibilities in feedstuffs. In: Nissen S, editor. Modern methods in protein nutrition and metabolism. San Diego: Academic Press, Inc; 1992. p. 87-120.
Köhler T, Mosenthin R, Verstegen MWA, Huisman J, den Hartog LA, Ahrens F. Effect of ileo-rectal anastomosis and post-valve T-caecum cannulation on growing pigs. 1. Growth performance, N-balance and intestinal adaptation. Br J Nutr. 1992;68:293–303.
Nyachoti CM, de Lange CFM, McBride BW, Schulze H. Significance of endogenous gut nitrogen losses in the nutrition of growing pigs: A review. Can J Anim Sci. 1997;77:149–63.
Hodgkinson SM, Moughan PJ. Amino acids – the collection of ileal digesta and characterisation of the endogenous component. In: Moughan PJ, Verstegen MWA, Visser-Reyneveld MI, editors. Feed evaluation principles and practice. the Netherlands: Wageningen Pers; 2000. p. 105–24.
Noblet J. Digestive and metabolic utilization of dietary energy in pig feeds: comparison of energy systems. In: Garnworthy PC, Wiseman J, Haresign W, editors. Recent advances in animal nutrition. England: Nottingham University Press; 1996. p. 207–31.
Sauvant D, Perez J-M, Tran G. Tables of composition and nutritional value of feed materials: pigs, poultry, cattle, sheep, goats, rabbits, horses and fish. Wageningen, the Netherlands: Wageningen Academic Publisher; 2004.
Schiemann R, Nehring K, Hoffmann L, Jentsch W, Chudy A. Energetische Futterbewertung und Energienormen. Berlin: VEB Deutscher Landwirtschafts-verlag; 1971.
Beyer M, Chudy A, Hoffmann L, Jentsch W, Laube W, Nehring K, et al. Rostock feed evaluation system: reference numbers of feed value and requirement on the base of net energy. Miltenberg: Plexus Verlag; 2003.
Noblet J, Perez JM. Prediction of digestibility of nutrients and energy values of pig diets from chemical analysis. J Anim Sci. 1993;71:3389–98.
Hall DD, Fernández JA, Jørgensen H, Boisen S. Prediction of ileal and fecal digestibility of crude protein and amino acids in pigs diets by NDF and NDF-nitrogen analyses. In: Proc. 5th Int symp on protein metabolism and nutrition, EAAP publication No. 35. Germany: Rostock; 1988. p. 54–5.
Février C, Lechevestrier Y, Lebreton Y, Jaguelin-Peyraud Y. Prediction of the standardized ileal true digestibility of amino acids from the chemical composition of oilseed meals in the growing pig. Anim Feed Sci Technol. 2001;90:103–15.
Moughan PJ, Smith WC, James KAC. Preliminary observations on the use of the rat as a model for the pig in determination of apparent digestibility of dietary protein. N Z J Agric Res. 1984;27:509–12.
Moughan PJ, Smith WC, Kies AK, James KAC. Comparison of the ileal digestibility of amino acids in ground barley for the growing rat and pig. N Z J Agric Res. 1987;30:59–66.
Smith WC, Moughan PJ, James KAC. Comparative apparent ileal digestibility of amino acids in a mixed meal diet measured with the growing rat and pig. N Z J Agric Res. 1990;33:669–71.
Donkoh A, Moughan PJ. The effect of dietary crude protein content on apparent and true ileal nitrogen and amino acid digestibilities. Br J Nutr. 1994;72:59–68.
Donkoh A, Moughan PJ, Smith WC. The laboratory rat as a model animal for determining ileal amino acid digestibility in meat and bone meal for the growing pig. Anim Feed Sci Technol. 1994;49:57–71.
Rutherfurd SM, Moughan PJ. The rat as a model animal for the growing pig in determining ileal amino acid digestibility in soya and milk proteins. J Anim Physiol Anim Nutr. 2003;87:292–300.
Święch E, Buraczewska L. True ileal digestibility of amino acids of pea seeds and soyabean products estimated in pigs, rats and in vitro. J Anim Feed Sci. 2005;14:179–91.
Furuya S, Takahashi S, Kameoka K. A comparative study of the digestibility by pigs, chickens and rats using identical rations. Jpn J Zootech Sci. 1981;52:459–66.
Likuski HJA, Bowland JP, Berg RT. Energy digestibility and nitrogen retention by pigs and rats fed diets containing non-nutritive diluents and varying in protein level. Can J Anim Sci. 1961;41:89–101.
Smith WC, Moughan PJ, Pearson G, James KAC. Comparative bioavailable energy values of five ground cereal grains measured with growing rats and pigs. Anim Feed Sci Technol. 1987;18:143–50.
Jørgensen H, Lindberg JE. Prediction of energy and protein digestibility in pig feeds using growing rats as a model. Anim Feed Sci Technol. 2006;127:55–71.
Skilton GA, Smith WC, Moughan PJ. The ileal digestibility of nitrogen and amino acids in meat and bone meals determined using a rat assay. Anim Feed Sci Technol. 1991;34:111–26.
Van Wijk HJ, Moughan PJ, Hodgkinson SM, Jansen PP, Pearson G. Variation in apparent and true ileal amino acid digestibility in barley using a rat model. Anim Feed Sci Technol. 1998;76:9–22.
Moughan PJ, Rutherfurd SM. Endogenous flow of total lysine and other amino acids at the distal ileum of the protein- or peptide-fed rat: the chemical labelling of gelatin protein by transformation of lysine to homoarginine. J Sci Food Agric. 1990;52:179–92.
Butts CA, Moughan PJ, Smith WC. Endogenous amino acid flow at the terminal ileum of the rat determined under conditions of peptide alimentation. J Sci Food Agric. 1991;55:175–87.
Donkoh A, Moughan PJ, Morel PCH. Comparison of methods to determine the endogenous amino acid flow at the terminal ileum of the growing rat. J Sci Food Agric. 1995;67:359–66.
Darragh AJ, Moughan PJ, Smith WC. The effect of amino acid peptide alimentation on the determination of endogenous amino acid flow at the terminal ileum of the rat. J Sci Food Agric. 1990;51:47–56.
Hendriks WH, Sritharan K, Hodgkinson SM. Comparison of the endogenous ileal and faecal amino acid excretion in the dog (Canis familiaris) and the rat (Rattus rattus) determined under protein-free feeding and peptide alimentation. J Anim Physiol Anim Nutr. 2002;86:333–41.
Skilton GA, Moughan PJ, Smith WC. Determination of endogenous amino acid flow at the terminal ileum of the rat. J Sci Food Agric. 1988;44:227–35.
Hodgkinson SM, Souffrant WB, Moughan PJ. Comparison of the enzyme-hydrolyzed casein, guanidination, and isotope dilution methods for determining ileal endogenous protein flow in the growing rat and pig. J Anim Sci. 2003;81:2225–34.
Balle KM. Digestibility of protein and amino acids in feedstuffs for growing pigs. An evaluation of methods to determine the digestibility of protein and amino acids in feedstuffs for growing pigs and the possibility of using rats as a model. Copenhagen. Denmark: The Royal Veterinary and Agricultural University; 1998. M.Sc. Thesis.
Rademacher M, Sauer WC, Jansman AJM. Standardized ileal digestibility of amino acids in pigs. Frankfurt. Germany: Degussa-Hülls AG Publication; 1999.
Jansman AJM, Frohlich AA, Marquardt RR. Production of proline-rich proteins by the parotid glands of rats is enhanced by feeding diets containing tannins from faba beans (Vicia faba L.). J Nutr. 1994;124:249–58.
Beames RM, Helm JH, Eggum BO, Boisen S, Bach Knudsen KE, Swift ML. A comparison of methods for measuring the nutritive value for pigs of a range of hulled and hulless barley cultivars. Anim Feed Sci Technol. 1996;62:189–201.
Eggum BO, Thorbek G, Beames RM, Chwalibog A, Henckel S. Influence of diet and microbial activity in the digestive tract on digestibility, and nitrogen and energy retention in rats and pigs. Br J Nutr. 1982;48:161–75.
Björnhag G. Anatomy of the digestive tract and transport of digesta. In: Proc symp on the rat as a model for man and pig in nutritional and physiological studies. Stenungsund: National Institute of Animal Science (Tjele, Denmark), Gramineer AB (Lidköping, Sweden) and AB AnalyCen (Lidköping, Sweden); 1990. p. 9-12.
Smith WC, Moughan PJ, Pearson G, Patchell MR. A comparison of bioavailable energy values of ground cereal grains measured with adult cockerels and growing pigs. Anim Feed Sci Technol. 1988;19:105–10.
Zijstra RT, Swift ML, Wang LF, Scott TA, Edney MJ. Short communication: Near infrared reflectance spectroscopy accurately predicts the digestible energy content of barley for pigs. Can J Anim Sci. 2011;91:301–4.
Sibbald IR, Hall DD, Wolynetz MS, Fernández JA, Jørgensen H. Relationships between bioavailable energy estimates made with pigs and cockerels. Anim Feed Sci Technol. 1990;30:131–42.
Le Goff G, Noblet J. Comparative total tract digestibility of dietary energy and nutrients in growing pigs and adult sows. J Anim Sci. 2001;79:2418–27.
Cozannet P, Primot Y, Gady C, Métayer JP, Lessire M, Skiba F, et al. Energy value of wheat distillers grains with solubles for growing pigs and adult sows. J Anim Sci. 2010;88:2382–92.
Lowell JE, Liu Y, Stein HH. Comparative digestibility of energy and nutrients in diets fed to sows and growing pigs. Arch Anim Nutr. 2015;69:79–97.
Stein HH, Aref S, Easter RA. Comparative protein and amino acid digestibilities in growing pigs and sows. J Anim Sci. 1999;77:1169–79.
Stein HH, Kim SW, Nielsen TT, Easter RA. Standardized ileal protein and amino acid digestibility by growing pigs and sows. J Anim Sci. 2001;79:2113–22.
Sauer WC, Jørgensen H, Berzins R. A modified nylon bag technique for determining apparent digestibilities of protein in feedstuffs for pigs. Can J Anim Sci. 1983;63:233–7.
Steiner T, Bornholdt U, Sauer WC, Ahrens F, Jørgensen H, Mosenthin R. Use of the mobile nylon bag technique for determination of apparent ileal digestibilities of crude protein and amino acids in feedstuffs for pigs. Czech J Anim Sci. 2011;56:451–64.
Yin Y-L, Zhong H-Y, Huang R-L. Determination of the apparent ileal digestibility of protein and amino acids in feedstuffs and mixed diets for growing-finishing pigs with the mobile nylon bag technique. Asian-Aust J Anim Sci. 1995;8:433–41.
Yin Y-L, Huang RL, Zhong HY, Li TJ, Souffrant WB, de Lange CFM. Evaluation of mobile nylon bag technique for determining apparent ileal digestibilities of protein and amino acids in growing pigs. J Anim Sci. 2002;80:409–20.
Sauer WC, den Hartog LA, Huisman J, van Leeuwen P, de Lange CFM. The evaluation of the mobile nylon bag technique for determining the apparent protein digestibility in a wide variety of feedstuffs for pigs. J Anim Sci. 1989;67:432–40.
Thacker PA, Qiao S. Further modifications to the mobile nylon bag technique to determine nutrient digestibility for swine. Asian-Aust J Anim Sci. 2001;14:1149–56.
Boisen S, Eggum BO. Critical evaluation of in vitro methods for estimating digestibility of simple-stomach animals. Nutr Res Rev. 1991;4:141–62.
Gauthier SF, Vachon C, Jones JD, Savoie L. Assessment of protein digestibility by in vitro enzymatic hydrolysis with simultaneous dialysis. J Nutr. 1982;112:1718–25.
Galibois I, Savoie L, Simoes Nunes C, Rérat A. Relation between in vitro and in vivo assessment of amino acid availability. Reprod Nutr Dev. 1989;29:495–507.
Savoie L, Charbonneau R, Parent G. In vitro amino acid digestibility of food proteins as measured by the digestion cell technique. Plant Foods Hum Nutr. 1989;39:93–107.
Drake AP, Fuller MF, Chesson A. Simultaneous estimations of precaecal protein and carbohydrate digestion in the pigs. In: Fuller MF, editor. In vitro digestion for pigs and poultry. Wallingford. UK: CAB International; 1991. p. 162–76.
Huang R-L, Tan Z-L, Xing T-X, Pan Y-F, Li T-J. An in vitro method for the estimation of ileal crude protein and amino acids digestibility using the dialysis tubing for pig feedstuffs. Anim Feed Sci Technol. 2000;88:79–89.
Hsu HW, Vavak DL, Satterlee LD, Miller GA. A multienzyme technique for estimating protein digestibility. J Food Sci. 1977;42:1269–73.
Pedersen B, Eggum BO. Prediction of protein digestibility by an in vitro enzymatic pH-stat procedure. Z Tierphysiol Tierernahr Futtermittelkd. 1983;49:265–77.
Satterlee LD, Marshall HF, Tennyson JM. Measuring protein quality. J Am Oil Chem Soc. 1979;56:103–9.
Wolzak A, Bressani R, Gomez BR. A comparison of in vivo and in vitro estimates of protein digestibility of native and thermally processed vegetable proteins. Plant Foods Hum Nutr. 1981;31:31–43.
McDonough FE, Sarwar G, Steinke FH, Slump P, Garcia S, Boisen S. In vitro assay for protein digestibility: Interlaboratory study. J Assoc Off Anal Chem. 1990;73:622–5.
Salazar-Villanea S, Hulshof TG, van der Poel AFB, Bruininx EMAM, Bikker P. Predicting the standardized ileal protein digestibility of processed soybean meal and rapeseed meal in growing pigs using two in vitro methods. J Anim Sci. 2016;94:202–6.
Ӧste R, Sjödin P, Jägerstad M, Björck I, Dahlqvist A. Effect of Maillard reaction products on carbohydrate utilization – studies in vitro and in vivo. Food Chem. 1985;16:37–47.
Holm J, Lundquist I, Björck I, Eliasson A-C, Asp N-G. Degree of starch gelatinization, digestion rate of starch in vitro, and metabolic response in rats. Am J Clin Nutr. 1988;47:1010–6.
Siljeström M, Björck I, Eliasson A-C, Lönner C, Nyman M, Asp N-G. Effects of polysaccharides during baking and storage of bread - In vitro and in vivo studies. Cereal Chem. 1988;65:1–8.
Sheffner AL, Eckfeldt GA, Spector H. The pepsin-digest-residue (PDR) amino acid index of net protein utilization. J Nutr. 1956;60:105–20.
Maga JA, Lorenz K, Onayemi O. Digestive acceptability of proteins as measured by the intestinal rate of in vitro proteolysis. J Food Sci. 1973;38:173–4.
Buchanan RA. In vivo and in vitro methods of measuring nutritive value of leaf-protein preparations. Br J Nutr. 1969;23:533–45.
Taverner MR, Farrell DJ. Availability to pigs of amino acids in cereal grains. 3. A comparison of ileal availability values with faecal, chemical and enzymic estimates. Br J Nutr. 1981;46:173–80.
Bhatty RS. In vitro hydrolysis of skim milk and pea proteins by pepsin and rennin. Can Inst Food Sci Techn J. 1982;15:101–8.
Löwgren W, Graham H, Åman P. An in vitro method for studying digestion in the pig. 1. Stimulating digestion in the different compartments of the intestine. Br J Nutr. 1989;61:673–87.
Büchmann NB. In vitro digestibility of protein from barley and other cereals. J Sci Food Agric. 1979;30:583–9.
Babinszky L, van der Meer JM, Boer H, den Hartog LA. An in-vitro method for prediction of the digestible crude protein content in pig feeds. J Sci Food Agric. 1990;50:173–8.
Dierick N, Vervaeke I, Decuypere J, Henderickx H. Protein digestion in pigs measured in vivo and in vitro. In: Just A, Jørgensen H, Fernández JA, editors. Digestive Physiology in the Pigs. Copenhagen, Denmark: National Institute of Animal Science; 1985. p. 329–32.
Saunders RM, Connor MA, Booth AN, Bickoff EM, Kohler GO. Measurement of digestibility of alfalfa protein concentrates by in vivo and in vitro methods. J Nutr. 1973;103:530–5.
Furuya S, Sakamoto K, Takahashi S. A new in vitro method for the estimation of digestibility using the intestinal fluid of the pig. Br J Nutr. 1979;41:511–20.
Cone JW, van der Poel AFB. Prediction of apparent ileal protein digestibility in pigs with a two-step in-vitro method. J Sci Food Agric. 1993;62:393–400.
Święch E, Buraczewska L. In vivo and in vitro protein and amino acid digestibility of legume seeds in pig diets. J Anim Feed Sci. 2001;10 Suppl 2:159–62.
Cho JH, Kim IH. Evaluation of the apparent ileal digestibility (AID) of protein and amino acids in nursery diets by in vitro and in vivo methods. Asian Australas J Anim Sci. 2011;24:1007–10.
Święch E. Availability of amino acid in plant rich-protein feedstuffs determined in pigs, rats and in vitro. Jabłonna: The Kielanowski Institute of Animal Physiology and Nutrition; 2003. PhD. Thesis.
Jezierny D, Mosenthin R, Sauer N, Eklund M. In vitro prediction of standardised ileal crude protein and amino acid digestibilities in grain legumes for growing pigs. Animal. 2010;4:1987–96.
Huang G, Sauer WC, He J, Hwangbo J, Wang X. The nutritive value of hulled and hulless barley for growing pigs. 1. Determination of energy and protein digestibility with the in vivo and in vitro method. J Anim Feed Sci. 2003;12:759–69.
Huang G, Sauer WC, He J, Ramirez M. The nutritive value of hulled and hulless barley for growing pigs. 2. Determination of in vivo and in vitro energy and in vivo ileal amino acid digestibility. J Anim Feed Sci. 2003;12:771–84.
Regmi PR, Sauer WC, Zijstra RT. Prediction of in vivo apparent total tract energy digestibility of barley in grower pigs using an in vitro digestibility technique. J Anim Sci. 2008;86:2619–26.
Boisen S, Fernández JA. Prediction of the total tract digestibility of energy in feedstuffs and pig diets by in vitro analyses. Anim Feed Sci Technol. 1997;68:277–86.
Regmi PR, Ferguson NS, Zijstra RT. In vitro digestibility techniques to predict apparent total tract energy digestibility of wheat in grower pigs. J Anim Sci. 2009;87:3620–9.
Van der Meer JM, Perez JM. In-vitro evaluation of european diets for pigs. Prediction of the organic matter digestibility by an enzymic method or by chemical analysis. J Sci Food Agric. 1992;59:359–63.
Vervaeke IJ, Dierick NA, Demeyer DI, Decuypere JA. Approach to the energetic importance of fibre digestion in pigs. II. An experimental approach to hindgut digestion. Anim Feed Sci Technol. 1989;23:169–94.
Boisen S. In vitro methods for analysing nutrient digestibility - and their implementation in present and future feed evaluation systems for pigs. Copenhagen. Denmark: The Royal Veterinary and Agricultural University; 2002. Ph.D. Thesis.
Święch E, Buraczewska L. The energy value of pig diets estimated in vitro and in vivo. J Anim Feed Sci. 2006;15 Suppl 1:85–8.
Noblet J, Jaguelin-Peyraud Y. Prediction of digestibility of organic matter and energy in the growing pig from an in vitro method. Anim Feed Sci Technol. 2007;134:211–22.
Minekus M, Marteau P, Havenaar R, Veld JHJ H i’t. A multicompartmental dynamic computer-controlled model simulating the stomach and small intestine. ALTA. 1995;23:197–209.
Minekus M, Smeets-Peeters M, Bernalier A, Marol-Bonnin S, Havenaar R, Marteau P, et al. A computer-controlled system to simulate conditions of the large intestine with peristaltic mixing, water absorption and absorption of fermentation products. Appl Microbiol Biotechnol. 1999;53:108–14.
Meunier JP, Manzanilla EG, Anguita M, Denis S, Pérez JF, Gasa J, et al. Evaluation of a dynamic in vitro model to simulate the porcine ileal digestion of diets differing in carbohydrate composition. J Anim Sci. 2008;86:1156–63.
Fontaine J, Hörr J, Schirmer B. Near-infrared reflectance spectroscopy enables the fast and accurate prediction of the essential amino acid contents in soy, rapeseed meal, sunflower meal, peas, fishmeal, meat meal products, and poultry meal. J Agric Food Chem. 2001;49:57–66.
Fontaine J, Schirmer B, Hörr J. Near-infrared reflectance spectroscopy (NIRS) enables the fast and accurate prediction of essential amino acid contents. 2. Results for wheat, barley, corn, triticale, wheat bran/middlings, rice bran, and sorghum. J Agric Food Chem. 2002;50:3902–11.
Fontaine J, Hörr J, Schirmer B. Amino acid contents in raw materials can be precisely analyzed in a global network of near-infrared spectrometers: collaborative trials prove the positive effects of instrument standardization and repeatability files. J Agric Food Chem. 2004;52:701–8.
Jiang HY, Zhu YJ, Wei LM, Dai JR, Song TM, Yan YL, et al. Analysis of protein, starch and oil content of single intact kernels by near infrared reflectance spectroscopy (NIRS) in maize (Zea mays L.). Plant Breed. 2007;126:492–7.
Aufrère J, Graviou D, Demarquilly C, Perez JM, Andrieu J. Near infrared reflectance spectroscopy to predict energy value of compound feeds for swine and ruminants. Anim Feed Sci Technol. 1996;62:77–90.
Garnsworthy PC, Wiseman J, Fegeros K. Prediction of chemical, nutritive and agronomic characteristics of wheat by near infrared spectroscopy. J Agric Sci. 2000;135:409–17.
McCann MEE, McCracken KJ, Agnew RE. The use of near infrared reflectance spectroscopy (NIRS) for prediction of the nutritive value of barley for growing pigs. Irish J Agric Food Res. 2006;45:187–95.
Li J, Li Q, Li D, Chen Y, Wang X, Yang W, et al. Use of near-infrared reflectance spectroscopy for the rapid determination of the digestible energy and metabolizable energy content of corn fed to growing pigs. J Anim Sci Biotechnol. 2016;7:45.
Pujol S, Pérez-Vendrell AM, Torrallardona D. Evaluation of prediction of barley digestible nutrient content with near-infrared reflectance spectroscopy (NIRS). Livest Sci. 2007;109:189–92.
Part of the paper was presented at the 3rd Polish Conference on Animals in the Scientific Research, Warsaw, Poland, 9-11 September 2013.
This work was financially supported by statutory funds of The Kielanowski Institute of Animal Physiology and Nutrition, Polish Academy of Sciences. The funder had no role in concept and design of paper, decision to publish or preparation of the manuscript.
Availability of data and materials
All data generated or analyzed during preparation of the paper are available from the corresponding author on reasonable request.
Author wrote this paper and approved the final version of the manuscript.
The author declare that there are no competing interests.
Consent for publication
Ethics approval and consent to participate
About this article
Cite this article
Święch, E. Alternative prediction methods of protein and energy evaluation of pig feeds. J Animal Sci Biotechnol 8, 39 (2017). https://doi.org/10.1186/s40104-017-0171-7