alexa Effects of Dietary Protein Content on Milk Composition of Mixed Parity Lactating Sows in a Tropical Humid Climate | OMICS International
ISSN: 2157-7579
Journal of Veterinary Science & Technology

Like us on:

Make the best use of Scientific Research and information from our 700+ peer reviewed, Open Access Journals that operates with the help of 50,000+ Editorial Board Members and esteemed reviewers and 1000+ Scientific associations in Medical, Clinical, Pharmaceutical, Engineering, Technology and Management Fields.
Meet Inspiring Speakers and Experts at our 3000+ Global Conferenceseries Events with over 600+ Conferences, 1200+ Symposiums and 1200+ Workshops on
Medical, Pharma, Engineering, Science, Technology and Business

Effects of Dietary Protein Content on Milk Composition of Mixed Parity Lactating Sows in a Tropical Humid Climate

Silva BAN1,2*, Gourdine JL2, Corrent E3, Primot Y3, Mourot J4, Noblet J4 and Renaudeau D2,4

1Institute of Agricultural Sciences/ICA, Federal University of Minas Gerais (UFMG), 39404-547, Montes Claros, Minas Gerais, Brazil

2INRA UR 143 Zootechnical Research Unit, F-97170 Petit Bourg, Guadeloupe, France

3Ajinomoto Eurolysine S.A.S. 153, Rue de Courcelles, F-75817 Paris Cedex 17, France

4INRA, UMR Breeding Systems, Animal and Human Nutrition INRA UMR 1079, 35590 St Gilles, France

*Corresponding Author:
Bruno Silva
Institute of Agricultural Sciences/ ICA
Universidade Federal de Minas Gerais (UFMG)
39404-547, Montes Claros, Minas Gerais, Brazil
Tel: +351253510223
E-mail: [email protected]

Received date: April 06, 2017; Accepted date: June 20, 2017; Published date: June 22, 2017

Citation: Silva BAN, Gourdine JL, Corrent E, Primot Y, Mourot J, et al. (2017) Effects of Dietary Protein Content on Milk Composition of Mixed Parity Lactating Sows in a Tropical Humid Climate. J Vet Sci Technol 8:448. doi:10.4262/2157-7579.1000448

Copyright: © 2017 Silva BAN, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Visit for more related articles at Journal of Veterinary Science & Technology


Eighteen multiparous Large White sows were used to determine the effects of dietary protein content and lactation stage on milk composition during a 28-d lactation under humid tropical climatic conditions. This study was conducted at the INRA facilities in Guadeloupe, French West Indies (latitude 16°N, longitude 61°W). The average minimum and maximum ambient temperatures and average daily relative humidity during the trial were 22.7 and 29.4°C, and 93.7%, respectively. The dietary experimental treatments were a normal protein (NP, 17.3%) diet and a low protein (LP, 14.1%) diet supplemented with essential amino acids. The ADFI tended to be higher for the sows fed the LP diets when compared with the NP treatment (i.e., +9%, P<0.10). Litter BW gain and mean BW of piglets at weaning were not affected by dietary protein level (P>0.10). The treatments did not influence (P>0.10) sow body weight loss during lactation. The sows fed LP diets tended to show lower backfat thickness losses when compared to the sows fed NP diets (2.4 vs. 6.3 mm, respectively; P<0.10). Milk production and composition were not affected by dietary treatments (P>0.10). Milk dry matter and ash contents linearly increased according to lactation stage (17.6 to 19.9%, and 0.72 vs. 97%, respectively from d 7 to d 27; P<0.01). Lactose content increased from d 7 to d 14 (3.95 vs. 4.91; P<0.01) and thereafter remained constant. Fat content did not change during lactation and averaged 7.5%. The amino acid concentrations in milk protein were affected by the lactation stage: methionine, threonine, tryptophan, valine, and alanine concentrations decreased (P<0.05) but glycine and glutamic acid contents increased (P<0.05) from d 7 to d 27. Fatty acids milk profile was not influenced (P>0.10) by lactation stage. Maternal BW loss during lactation was negatively correlated with the average daily feed intake (r=-0.76; P<0.05) and positively correlated with backfat thickness loss (r=0.55; P<0.05). A positive correlation between milk production and body reserves mobilisation (r=0.82; P<0.05) was also observed. Polyunsaturated fatty acid content in milk fat was positively correlated with ADFI and negatively correlated to maternal BW loss (r=0.62 and r=-0.60; P<0.05). In conclusion, reducing dietary protein content can be an alternative to attenuate the negative effects of heat stress by increasing ADFI. Milk composition changes significantly according to lactation stage and the ability of sows to produce milk will depend on their capacity to mobilize body reserve for providing milk precursors.


Sow; Lactation; Milk; Amino acids; Fatty acids


Heat stress is a constant problem in many tropical and subtropical areas. Under heat stress, sows reduce their appetite in order to reduce their metabolic heat production due to the thermic effect of feed. This reduced feed intake has negative consequences on body reserves mobilization and milk yield and composition. The way the sow’s milk composition and production is affected by heat stress implicates in the need of new nutritional strategies to attend the current lactating sow’s daily needs and a better understanding of the consequences of this stress towards metabolism.


The growth rate of nursing piglets is mainly determined by milk nutrient output by the dam. As a consequence, the quantity and the composition of milk produced by sows are key factors to reach a successful piglet production. Milk production appears to be highly variable and depends on many factors. It can be affected by sow characteristics (genotype, litter size, parity number, and lactation stage) and by environmental factors (feeding management, photoperiod, climatic parameters) [1]. Under tropical conditions, we estimated that milk yield was reduced by at least 30 to 50% in comparison with data obtained in temperate countries [2]. This result is mainly connected to the combined negative effect of high ambient temperature and relative humidity resulting in a concomitant reduction of voluntary feed consumption and milk production combined with the reduced ability of the sow to mobilize maternal body reserves. In fact, under tropical conditions, because of opened or semi-opened buildings, animals are more directly exposed to nycthemeral variation of the outside climatic conditions [3,4]. While there is substantial information on milk composition from sows raised under temperate climate [5], data on milk composition obtained in tropical countries are scarce and limited to the general composition (total solids, protein, fat and ash contents) [3,6]. The objective of our study was to evaluate the amino acid and fatty acid profile of sow’s milk composition according to the lactation stage and dietary protein content under tropical humid conditions. In the present paper, the relationship between sow’s performance and milk composition are also analysed.

Materials and Methods

Care and use of animals were performed according to the certificate of authorization to experiment on living animals issued by the French Ministry of Agriculture to the head of the experimental facilities.

Animals and experimental procedure

The study was conducted during the year of 2007 at the INRA facilities in Guadeloupe, French West Indies (latitude 16°N, longitude 61°W) characterized as having a tropical humid climate. A total of eighteen Large White mixed parity sows from 3 successive replicates of 6 sows each were used in this study. Within each replicate, sows were distributed in a completely randomized experimental design between two dietary treatments according to parity order, BW and backfat thickness after farrowing.

The dietary experimental treatments were: a normal protein diet (NP) and a low protein diet (LP) supplemented with essential AA. The experimental diets (Table 1) were formulated using corn, wheat middlings, and soybean meal, which met or exceeded AA requirements of lactating sows (NRC, 1998). The NP and LP diets contained the same levels of standardized digestible lysine (i.e., 0.80 g/MJ of NE). The ratio between digestible essential amino acids and digestible lysine in the experimental diets were maintained by synthetic AA complementation (DL-methionine, L-threonine, L-tryptophan, L-isoleucine, L-valine) to ensure that they were not below that of the ideal protein recommended for this animal category [3]. Diets were offered as pellets. Diets were prepared for the three successive replicates and stored in a temperaturecontrolled room (24°C, 50 to 60% RH).

Ingredients, % Normal protein Low protein
Corn 59.5 67.4
Soybean meal 24.4 10.6
Wheat middlings 8.4 14.3
Soybean oil 3.4 2.4
L-lysine HCL 0.020 0.415
DL-methionine   0.109
L-threonine   0.175
L-tryptophan   0.064
L-isoleucine   0.127
L-valine   0.140
Monocalcium phosphate 1.0 1.0
Calcium carbonate 2.1 2.1
Salt 0.1 0.1
Minerals and vitamins2 1.1 1.1
Analyzed composition    
Crude protein 17.3 14.1
Starch 39.0 45.2
Ether extract 4.3 5.6
NDF 10.0 10.8
Calculated composition    
SID amino acids, %2    
Lysine 0.80 0.80
Methionine + cystine 0.49 0.48
Threonine 0.54 0.54
Tryptophan 0.18 0.17
Isoleucine 0.63 0.54
Leucine 1.36 1.07
Valine 0.71 0.65
Fatty acids (FA), % total3    
Saturated FA    
C16 11.1 11.4
C18 2.9 2.6
Total 14.6 14.6
Monounsaturated FA    
C16:1 0.2 0.3
C18:1 23.4 23.6
Total 24.5 24.8
Polyunsaturated FA    
C18:2 54.6 55.1
C18:3 5.0 4.2
Total 60.9 60.6
Calculated nutritional values3    
Net energy, MJ/kg 10.2 10.1
Digestible lysine, g/MJ of NE 0.80 0.80

Table 1: Composition of lactation diets, as fed basis and analyzed chemical composition of the lactation diets1.

During the gestation period, sows were housed in open-fronted gestating pens in groups of 5 sows each and restrictively fed a conventional diet containing 13 MJ DE/kg, 140 g CP/kg, based on maize, wheat middling and soybean meal. Feed allowance during the first 30 d after mating was calculated to standardize body condition at farrowing, according to the model proposed by Dourmad et al. [7]. The feeding level was fixed at 2.5 kg/d from the 30th to the 114th of gestation. Ten days before parturition, sows were moved to open-fronted farrowing pens (2.1 × 2.2 m) on a slatted metal floor. Variations in ambient temperature, relative humidity, and photoperiod closely followed outdoor conditions. On d 1 postpartum, sows received 1 kg of the standard gestation diet and the allowance increased by 1 kg each day until d 4 of lactation to avoid over-consumption at the beginning of lactation and agalactia problems. The proportion of gestation diet decreased progressively over the 4-d postpartum (100, 75, 50 and 25% on d 1, 2, 3 and 4, respectively), and sows were fed only the lactation diet on d 5. From d 6 to 26 postpartum, sows were allowed to consume feed ad libitum. The day prior to weaning (i.e., d 27), sows were allowed 3 kg of feed (i.e., at least 1.5 kg lower than their usual feed intake) to standardize consumption for all sows for determination of sow BW at weaning.

After birth, piglets were handled for tooth cutting, umbilical cord treatment and ear tagged for labelling. On d 3, they received an intramuscular injection of 200 mg of iron dextran. When necessary, cross-fostering was conducted within the first 48 h after birth to standardize litter size at 11 piglets. On d 14, male piglets were castrated. After 21 d of lactation, piglets were offered creep feed containing 15.3 MJ of DE/kg, 20% CP, and 1.47% total lysine. Infrared lights provided supplemental heat for the piglets during the first 21 d of the lactation period.

Measurements and chemical analysis

Sows were weighed after farrowing and at weaning. Backfat thickness measurements were taken ultrasonically (Agroscan, E.C.M., Angoulême, France) at 65 mm from the midline at the point beside the shoulder and at the last rib on each flank 2 d before farrowing and at weaning. The total number of piglets born, born alive, stillborn, and piglet deaths during lactation were recorded for each litter. Piglets were individually weighed at birth, at d 14 and 21 of lactation and at weaning. Every morning, feed refusals were collected, and fresh feed was immediately distributed once per day between 0700 and 0900. Feed consumption was determined as the difference between feed allowance and the refusals collected on the next morning. Every day, one sample of feed and feed refusals were collected daily for DM content measurement, and successive samples were pooled and stored at 4°C for further analyses.

At d 7, 14, 21 and 27 piglets were separated from the sows after suckling, and 50 min later (i.e., equivalent to average suckling interval) [8], the sow was injected with 10 IU of oxytocin (Intervet, Angers, France) in an ear vein and all functional mammary glands were hand milked. Samples (approximately 150 to 200 mL) were immediately stored at -20°C for further analyses. At the end of the experiment, all samples were freeze dried and analyzed for moisture, ash, and N contents according to AOAC methods [9]. Lactose content was measured using an enzymatic method (ENZYPLUS EZS784, BioControl Systems, Inc.). The amino acids contents were determined by ion-exchange liquid chromatography (Biochrom 20, Pharmacia, Saclay, France) after a 24 h-hydrolysis in HCl (6 mol/L). For sulfur AA, the hydrolysis was performed by a performic oxidation. Tryptophan was hydrolyzed only for feed and milk in barium hydroxide solution (1.5 mol/L) for 20 h, separated by HPLC, and detected fluorimetrically (Waters 600E, St Quentin en Yvelines, France). The total lipid content was determined following a chloroform/methanol (2:1) extraction method according to Folch et al. [10]. Fatty acid methyl esters were prepared with 20% boron trifluoride/methanol solution according to Morrison and Smith, the fatty methyl esters were separated on a gas chromatograph equipped with a SP-2330 capillary column (30 m × 0.25 mm internal diameter) with a non-bonded poly (80% biscyanopropyl/20% cyanopropylphenyl siloxane) stationary phase (a 0.20- μm film thickness) [11]. Furnace temperature was 180°C, and injector and detector temperatures were 240°C.

Feed (two samples per diet and per replicate) samples were analyzed for DM, ash, fat content (AOAC) and CP (N × 6.25 for feed and N × 6.38 for milk) according to Dumas method (AOAC) and analyzed for crude fiber and for cell wall components (NDF, ADF, and ADL) according to Van Soest and Wine [9]. Feed AA contents were analyzed by Ajinomoto Eurolysine (Amiens, France) using ion-exchange chromatography, except for tryptophan, which was analyzed using HPLC and fluorimetric detection (Waters 600E, St. Quentin en Yvelines, France).

Calculation and statistical analysis

Daily maximum, minimum, mean, and variance of daily ambient temperatures and relative humidities were averaged for each replicate. Milk production was estimated from litter growth rate and litter size between d 1 and d 21, and milk DM using the equation from Noblet and Etienne [12]. The effects of diet composition, replicate, parity number, and their interactions on performance of sows and litters were tested the GLM procedure of SAS. The effect of lactation stage on daily feed intake was tested with a mixed linear model (Mixed procedure of SAS) for repeated measurements with diet composition, batch and parity number as main effects. The least square means procedure (PDIFF option) was used to compare means when a significant F-value was obtained. Milk composition data were submitted to a linear mixed model including the effect of diet, batch, and lactation stage as main effects. In this later model, the sow was considered as a random effect and the repeated measurement option of the mixed procedure of SAS was used with an autoregressive covariance structure to take into account the correlations between repeated measurements on the same animal. Means comparison was performed according to the Pdiff option of SAS procedure using Tukey test for contrasts. Residual values were computed from the preceding models (without the random sow effect) and residual Pearson correlations between lactating performance and mean milk composition parameters were calculated using the CORR Procedure of SAS/STAT.

Results and Discussion

Average minimum and maximum ambient temperatures and average daily relative humidity measured during the experimental period were 22.7 and 29.4°C, and 93.7%, respectively. After farrowing, sows were restrictively fed for 5 d according to the same feeding plan and the increase of ADFI was similar for both treatments until d 4. After d 4, ADFI tended to be higher for LP diet as compared to the NP diet during the lactation (i.e., 4.55 vs. 4.16 kg/d, respectively; P=0.08; Table 2).

  Diet RSD1 Statistics2
Normal protein Low protein
No. of sows 9 9    
Parity no. 2.5 3.0 -  
Body Weight (BW), kg        
At farrowing 224 226 31  
Loss during lactation 29 21 9  
Backfat thickness, mm        
At farrowing 19.1 17.2 4.5  
Loss during lactation 6.3 2.4 3.6 Dt
ADFI, g/d 4162 4555 653 Dt
Litter BW gain, g/d 2142 1967 349 Bt
Milk production, g/d3 7800 7170 1450 B*

Table 2: Effects of dietary protein content on performance of lactating sows over a 28-d lactation (least square means).

Similarly to our findings, Renaudeau and Noblet evaluating the effect of protein reduction (14.2 vs. 17.6%) also reported a numerical increase of ADFI in heat stressed (29°C) sows (fed LP diet (+0.639 kg/d) [13]. Lynch also observed an increased feed consumption (+0.700 kg/d) in multiparous lactating sows fed a low CP diet (14 vs. 20%) under heat stress conditions (i.e., 28°C) [14]. In contrast, Quiniou and Noblet did not report any effect of diet on performance of lactating sows kept at 29°C when dietary protein content was reduced from 17 to 14% [15]. According the later authors, the results could be due to the lack of interaction between temperature and diet to the low number of observations and (or) the deficiency in sulphur AA and Trp the low CP diet. The reduction of dietary protein content with a supplementation of industrial AA leads to an increase in the ratio between Trp and branched chain AA (LNAA: Leu, Ile, Val, Phe, Tyr) (i.e., 4.52 vs. 5.37% in NP and LP diet, respectively). According to Trottier and Easter, the reduction in the Trp:LNAA ratio through dietary addition of LNAA decreased feed intake of primiparous lactating sows [16]. Thus, it could be suggested that the increased ADFI in LP treatment may also be related to a reduced Trp:LNAA ratio. Tryptophan and LNAA share the same neutral carrier system to cross the blood-brain barrier, and they compete for uptake by the brain [17]. Serotonin and its precursor, Tryp, are known to be involved in the control of feed intake; an increased ratio of Tryp:LNAA is reported to increase appetite linearly in growing finishing pigs [18].

Litter BW gain, milk production and composition were not influenced by dietary CP content. Milk production from farrowing to d 27 and litter growth rate for the overall lactation period averaged 7,485 and 2,055 g/d, respectively. Similarly, Johnston et al. and Renaudeau et al. in lactating sows kept at 29°C, showed no change in litter BW gain when dietary CP level was decreased (from 16.7 to 13.3%; and from 17.6 to 14.2%, respectively) [13,19]. Lactation BW loss was not influenced statistically by treatments (P>0.10), but numerically, the LP sows lost 8 kg less than the NP sows in agreement with previous results [13]. The LP sows also tended to show a numerically lower backfat loss than NP sows (2.4 vs. 6.3 mm; P<0.10; Table 2). According to several authors theses findings can be attributed to the higher feed intake observed for the LP sows, which probably contributed for the sow to maintain its body condition [8,13,15].

The macro composition of milk is shown in Table 3. According to our findings, dietary protein content did not affect general milk composition and amino acids (AA) milk composition (Table 4). Similar results were reported by Dourmad et al. in primiparous lactating sows when dietary crude protein (CP) level was reduced from 17.1 to 15.5% without change in lysine concentration (0.77%) [7]. For a more severe restriction of dietary CP (15 to 5% and 23.8 to 6.3%, respectively), Elliott et al. and King et al. showed reduced fat and protein milk contents in low CP treatment [20,21]. In these latter studies, the milk AA composition expressed as a proportion of nitrogen content was slightly affected by protein supply. In particular, they reported a lower proportion of glutamic acid only in milk from sows receiving a diet with less than 10% dietary CP.

No. obs. Lactation day, d RSD Statistics
7 14 21 27
18 18 18 18    
Chemical composition, %
Dry matter 17.6a 19.3b 18.7b 19.9b 1.2 S**, B**
Ash 0.72a 0.80b 0.88c 0.97d 0.06 S**
Nitrogen 0.82ab 0.80a 0.83ab 0.87b 0.07 S*, B**
Lipids 7.12 8.00 7.07 7.65 1.06  
Lactose 3.95a 4.91b 4.88b 4.90b 0.36 S**

Table 3: Effect of lactation stage on sows milk chemical composition (Least Square Means).

In the present study, milk DM and ash contents linearly increased with the advancement of lactation from 17.6 to 19.9% and from 0.72 to 0.97%, respectively between d 7 and d 27 (P<0.01). Lactose content increased from d 7 and d 14 (3.95 to 4.91%, P<0.01) and thereafter remained constant. Whatever the stage of lactation, the percentage of fat in milk was constant and averaged 7.46%. Nitrogen milk concentration was significantly affected by stage of lactation being minimum on d 14 and maximum on d 27. Our results for the overall milk composition are essentially the same as those reported by Salmon-Legagneur, Elliott et al., Klobasa et al. and Csapó et al. [20,22-24].

In our study, the AA composition of milk protein generally agreed with those presented by King et al. and Dourmad et al. (Table 4) [7,21]. Milk proteins were particularly rich in glutamic acid, proline, leucine, and aspartic acid (19.6, 10.4, 8.4, and 8.0 g/16 g N, respectively). In contrast, tryptophan, cystine, and methionine were present in a least amount in milk (1.3, 1.4 and 1.8 g/16 g N, respectively). The AA concentration in milk was affected by the stage of lactation: whereas sulfur AA, threonine, tryptophan, valine, and alanine concentrations decreased (P<0.05) but glycine and glutamic acid contents increased (P<0.05) from d 7 to d 27. Similar results were reported by Csapó et al. and Elliott et al. [21,24]. As the AA are derived from milk proteins, changes in AA patterns during lactation reflect a change in the relative distribution of milk proteins with different AA pattern. According to Klobasa et al. the relative proportion of caseins to whey proteins such as immunoglobulins and α-lactalbumin increases during lactation in the sow´s milk [23]. In fact, whey proteins in general have a lower concentration of glutamic acid, proline and methionine, and are richer in cysteine, threonine, and valine compared to caseins proteins [5]. From these results, it can be suggested that changes in AA pattern during lactation could be explained by the presence to some extent of immune proteins in mature milk produced after the colostrum stage. On average lysine milk content concentration was not affected by stage of lactation (P>0.05) and averaged 7.24 g/ 16 g N; this value is rather similar to the levels reported by Elliott et al., King et al., and Dourmad et al. (7.30, 6.95, and 7.39 g lysine / 16 g N, respectively) [7,20,21].

  Lactation day, d RSD Statistical analysis
  7 14 21 27    
No. observations 18 18 18 18    
Essential amino acids, g/16 g N            
Lysine 7.21 7.27 7.27 7.20 0.36  
Methionine 1.80 1.81 1.83 1.82 0.07  
Cystine 1.43a 1.39b 1.36b 1.29c 0.05 S***
Threonine 4.13a 4.04ab 4.01ab
3.98b 0.15 S*
Tryptophan 1.34a 1.29b 1.28b 0.06 S*
Valine 5.24a 5.14b 5.08b 0.12 S*
Leucine 8.43 8.38 8.36 8.32
0.17 B*
Isoleucine 4.00 3.98 3.97 0.19  
Histidine 2.58 2.59 2.58 0.10  
Tyrosine 4.18 4.14 4.13 4.11 0.23  
Phenylalanine 4.02 4.01 4.02 3.96 0.11  
Total 44.4 44.0 43.9 43.5 1.4  
Non essential amino acids, g/16 g N            
Arginine 4.64 4.59 4.58 4.65 0.11 B*
Glycine 3.08a 3.07a 3.11ab 3.20b 0.14 S*
Alanine 3.63a 3.56ab 3.54ab 3.50b 0.08 S**
Serine 5.14 5.11 5.14 5.12 0.15  
Aspartic acid 8.05 7.95 7.97 7.96 0.19  
Glutamic acid 19.2a 19.6ab 19.8b 19.7b 0.50 S*
Proline 10.1 10.3 10.5 10.7 0.53  
Total 53.8 54.2 54.6 54.8 1.3  

Table 4: Effect of lactation stage on sows milk protein amino acid composition (Least Square Means).

The fatty acids composition of milk fat is presented in Table 5. In agreement with data previously published in the literature, more than 80% of the fatty acids in sow’s milk fat were palmitic (16:0), oleic (18:1) and linoleic acids (18:2) (Miller et al., Csapó et al. and Gerfault et al.) [24-26]. According to Darragh and Moughan, most of the fatty acids founds in milk reflect closely those in the blood triacylglycerol which in turn are influenced by the type of dietary fat ingested by the sow and/ or the amount of mobilized maternal fat tissue [5]. In the present study, fatty acids composition in milk fat was not influenced (P>0.05) by the stage of lactation. Similarly, Bee did not report any change in fatty acids concentration in milk sampled on d 9, 16 or d 23 [27]. In contrast, Miller et al. and Csapó et al. showed that the proportion of linoleic acids (C18:2) was reduced whereas that of palmitoleic acid (C16:1) increased during lactation [24,25]. The discrepancy between the studies can be explained by differences in animal characteristics (genotype, milk production, ability to mobilize body reserves), in animal management (amount and FA composition of the diet; Rosero et al. [28]) or in the method of milk collection [5].

  Lactation day, d RSD Statistical analysis
  7 14 21 27    
No. observations 18 18 18 18    
Saturated fatty acids, mg/L            
C12:0 14 17 17 15 4  
C14:0 178 195 201 179 36  
C16:0 1711 1814 1869 1783 295  
C18:0 287 262 258 246 50  
C20:0 13 16 16 15 7  
Total 2207 2307 2364 2240 362  
Total, % 37.1 38.0 38.9 38.0 2.6  
Monounsaturated fatty acids, mg/L            
C14:1 11 13 13 12 3  
C16:1 474 483 515 456 99  
C18:1 1799 1721 1751 1624 426  
C20:1 19 20 21 20 7  
Total 2313 2245 2308 2121 464  
Total, % 38.3 36.8 37.1 35.6 4.4  
Polyunsaturated fatty acids, mg/L            
C18:2 1274 1335 1306 1359 212  
C18:3 92 102 95 103 22  
C20:2 26 24 27 26 12  
C20:4 37 33 32 32 9  
Total 1410 1528 1497 1567 245  
Total, % 24.8 25.4 24.4 26.7 3.2  

Table 5: Effect of lactation stage on sows milk fatty acid composition (Least Square Means).

Residual correlations between sow performance and milk composition are presented in Table 6. Logically, the maternal BW loss during lactation was negatively correlated with ADFI (r=-0.76) and positively correlated with backfat thickness loss (r=0.55). In addition, there was a positive correlation between milk production and body reserves mobilisation (r=0.82). This result would suggest that in our experimental conditions in which appetite was limited by the hot environment, the ability of sows to produce milk depends of their capacity to mobilize body reserve for providing milk precursors. The polyunsaturated FA (PUFA) content in milk fat was positively correlated with ADFI and negatively correlated to maternal BW loss (r=0.62 and r=-0.60). The PUFA deposited in milk fat originated mainly from dietary FA because animals cannot synthesize them, while saturated FA (SFA) and monounsaturated FA (MUFA) are derived from diet, mobilisation of fat tissue, or de novo synthesis. As a result, when sows are in a negative energy balance, a large amount of body reserves are mobilized and then exogenous PUFA are diluted with endogenous de novo synthesised fatty acids (SFA and MUFA). Finally, except for arginine, negative correlations were reported between milk production and AA concentration; the correlation coefficients were significantly different from zero only for sulphur AA, threonine, branched chain AA (leucine and valine). According to these results, changes in milk production would affect the AA composition of milk proteins. In conclusion, reducing dietary protein content can be an alternative to attenuate the negative effects of heat stress by increasing ADFI. Milk composition changes significantly according to lactation stage and the ability of sows to produce milk will depend on their capacity to mobilize body reserve for providing milk precursors.

  ADFI dlys intake BW loss BT loss Milk
ADFI, g/d 1.00 _ _ _ _
dlys intake, g/d 0.92 1.00 _ _ _
BW loss, g/d -0.76 -0.55 1.00 _ _
BT loss, g/d -0.39 -0.29 0.62 1.00 _
Milk, g/d -0.49 -0.34 0.82 0.40 1.00
Dry matter, % 0.14 0.10 0.05 0.37 0.09
Ash, % DM 0.02 0.05 -0.33 -0.51 -0.42
Crude protein, % DM -0.17 0.01 0.08 -0.43 0.19
Fat, % DM 0.16 0.12 0.13 0.39 0.21
Lactose, % DM 0.07 0.16 -0.37 -0.08 -0.26
SFA, mg/L 0.38 0.42 -0.02 0.22 -0.15
MUFA, mg/L -0.41 -0.21 0.78 0.41 0.73
PUFA, mg/L 0.62 0.47 -0.60 -0.33 -0.69
Lysine, g/16 g N -0.39 -0.53 -0.04 -0.31 -0.20
Sulfur AA, g/16 g N -0.14 -0.25 -0.33 -0.39 -0.61
Threonine, g/16 g N -0.16 -0.33 -0.31 -0.40 -0.49
Tryptophan, g/16 g N -0.32 -0.49 -0.17 -0.54 -0.27
Leucine, g/16 g N 0.58 0.41 -0.74 -0.09 -0.79
Isoleucine, g/16 g N -0.30 -0.41 -0.06 -0.24 -0.23
Valine, g/16 g N 0.05 -0.09 -0.46 -0.30 -0.67
Arginine, g/16 g N 0.01 -0.22 0.07 -0.07 0.39
Histidine, g/16 g N -0.65 -0.31 -0.12 -0.21 -0.26

Table 6: Residual correlation coefficients between lactation performance and chemical composition of milk of sows over a 28-d lactation1.


The authors gratefully acknowledge Ajinomoto Eurolysine (Paris, France) for their financial support and for measurement of amino acid contents in feeds and in milk; the authors also gratefully acknowledge C. Anäis, M. Bructer, K. Benoni, T. Etienne for their technical assistance.


Select your language of interest to view the total content in your interested language
Post your comment

Share This Article

Recommended Conferences

Article Usage

  • Total views: 478
  • [From(publication date):
    July-2017 - Jun 20, 2018]
  • Breakdown by view type
  • HTML page views : 430
  • PDF downloads : 48

Post your comment

captcha   Reload  Can't read the image? click here to refresh

Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2018-19
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri & Aquaculture Journals

Dr. Krish

[email protected]

+1-702-714-7001Extn: 9040

Biochemistry Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals


[email protected]

1-702-714-7001Extn: 9042

Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001Extn: 9040

Clinical Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

Food & Nutrition Journals

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

General Science

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics & Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Materials Science Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Nursing & Health Care Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

Ann Jose

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001Extn: 9042

© 2008- 2018 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
Leave Your Message 24x7