December 2016
ScienceDirect
Vol. 23 No. 4 40-46
Journal of Northeast Agricultural University (English Edition)
Available online at www.sciencedirect.com
Effect of Different Roughages on Milk Protein and Milk Fat Synthesis in Dairy Cows Sha Shan-shan1, Zhang Na2, and Li Qing-zhang3* 1
College of Life Sciences, Northeast Agricultural University, Harbin 150030, China
2
Key Laboratory of Dairy Science of Education Ministry, Northeast Agricultural University, Harbin 150030, China
3
College of Veterinary Medicine, Northeast Agricultural University, Harbin 150030, China
Abstract: The main purpose of this study was to determine the effect of a corn straw or mixed diet on milk production, milk composition and the expression of genes associated with lactation in mid-lactation Chinese Holstein cows. In this study, 10 healthy Chinese Holstein cows were randomly assigned to two groups and fed with different diets respectively, corn straw (CS) or mixed forage (MF) diet. CS group was fed roughage consisting of 53.8% corn straw only and the forge to concentrate (F : C) ratio [dry matter (DM)] was about 40: 60. MF group was fed roughage consisting of 3.7% Chinese wildrye and 23.4% alfalfa hay, the forge to concentrate (F : C) ratio (DM) was 70: 30. All the cows were fed 8 weeks and body weight, dry matter intake, body condition score, fat, protein, lactose, milk yield, total solid and somatic cell count (SCC) were recorded. Quantitative real-time PCR (qRT-PCR) was used to analyze cow mammary gland samples representing two different diets. The results suggested that different diet types had significant effects on milk yield, lactose, milk fat, milk protein, dry matter intake and somatic cell count in dairy cows, and cows fed MF diet improved milk production and lactation performance clearly (P<0.05). In addition, mRNA expression of genes ACC, mTOR, STAT5, CSN2, PPARγ, FABP3 and PTEN in MF group was extremely significantly higher than that in CS group (P<0.05). mRNA expression of AKT1, FAS, SCD and SREBP1c in MF group was significantly higher than that in CS group (P<0.01). In summary, the milk yield and composition in mixed forage group were significantly improved than those in corn straw group. Key words: dairy cow, different roughages, milk production, milk composition CLC number: S823.9+1
Document code: A
Article ID: 1006-8104(2016)-04-0040-07
2012). Corn straws are widely used as main roughage
Introduction
sources for most dairy farms in China, but the amount
It has been known for many years that various dietary
livestock production. In recent years, Chinese wildrye
factors, such as roughage type and proportion can
and alfalfa hay as main mixed forage are used as basic
affect rumen fermentation, milk production and
components in feeding programs for dairy cows in
composition (Weng et al., 2012). The roughage is
most areas of China. It is well known that Chinese
critical to the cow general health, milk production and
wildrye and alfalfa hay provide highly nutritious
quality. Roughage type as a key factor is widely used
forage in terms of proteins, vitamins and minerals for
to improve milk production and milk fat and protein
ruminant animals. There are series of studies on the
to increase economic genetic efficiency (Peres et al.,
effects of different roughages on lactation performance
and nutrient quality of corn straws are not enough for
Received 18 June 2016 Supported by Fund of the National Basic Research Program of China (973) (2011CB100804) Sha Shan-shan (1991-), female, Master, engaged in the research of animal biochemistry and molecular biology. E-mail:
[email protected] * Corresponding author. E-mail:
[email protected] E-mail:
[email protected]
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Sha Shan-shan et al. Effect of Different Roughages on Milk Protein and Milk Fat Synthesis in Dairy Cows
and metabolic changes in dairy cows. The effect
Throughout the experimental period, milk yield of
of a corn straw or mixed forage diet on endocrine,
each cow was recorded at each milking, and stored at
metabolism and lactation performance was reported
4℃ with a preservative until analyzed for fat, protein,
in periparturient Holstein cows (Qin et al., 2013). The
lactose, total solid and dry matter intake. Cows were
influence of roughage types on ruminal metabolite
slaughtered and mammary parenchymal tissues were
profile that correlated with feeding on different
aseptically excised 5 cm from the base of the nipple
roughage types was investigated (Zhao et al., 2014).
and 3 cm from the half line that divides the glandular
Some studies investigated the effects of dietary
quarters of each animal. The samples of mammary
replacement of grass silage (GS) with forage millet
tissues were aseptically excised and immediately
silages that were harvested at two stages of maturity
frozen in liquid nitrogen and stored at –80℃ until
on milk production, apparent total-tract digestibility
further analyses.
and ruminal fermentation characteristics of dairy cows (Brunette et al., 2015). The aim of this study was to evaluate the effects of
Table 1 Ingredient and nutrient composition of corn straw (CS) and mixed forage (MF) diet
two different forage quality diets on milk production, milk composition and expression of genes associated
Item
with lactation in dairy cows. This study was also
Ingredient (g • 100 g-1 of DM)
aimed at exploring a more suitable dietary type for lactation cows to improve milk production and quality.
Corn straw
Mixed forage
Chinese wildrye
–
3.70
Alfalfa hay
–
23.40
It is critical to the general health of cows and the
Corn straw
53.80
–
development of milk industry and nutrition research
Corn silage
24.60
24.60
Soybean meal
14.80
14.80
Cotton seed
5.10
5.10
CaHCO3
0.60
0.60
NaCl
0.50
0.50
Mixed feed
0.60
0.60
for the future.
Materials and Methods Animals and tissue samples Twelve healthy mid-lactating Holstein cows [(550±25) kg of body weight at the start of the experiment] were
mRNA level of genes by quantitative real-time
randomly divided into two groups: corn straw group
PCR
(CS) and mixed forage group (MF). Corn straw group
The total RNA extraction and cDNA synthesis. The
cows (n=5) were fed 53.8% corn straw only and F : C
total RNA was isolated from the mammary tissue
ratio [dry matter (DM)] was 40: 60; and mixed forage
samples by Trizol Reagent (Invitrogen, Carlsbad, CA).
group cows (n=5) were fed mixed forage consisting of
Con-centration and purity of the isolated RNA were
3.7% Chinese wildrye and 23.4% alfalfa hay, F : C ratio
mea-sured in Nanodrop spectrophotometer (Thermo
(DM) was 70: 30. Ingredient and nutrient composition
Scien-tific, USA). RNA integrity was evaluated by
of the diets used in this study are presented in Table 1.
the observation of 18S and 28S ribosomal bands after
They were fed twice at 6: 00 a.m. and 6: 00 p.m., and
electrophoresis on 1% agarose gel in the presence of
milked at 6: 00 a.m. and 6: 00 p.m. Other feeding
ethidium bromide. Complimentary DNA (cDNA) was
conditions were the same and nutrition was abundant
reverse transcribed from total RNA samples, using
for two group cows, according to the College of
oligo dT primers and cDNA synthesis premium kit
Animal Sciences, Northeast Agricultural University,
(TaKaRa, Tokyo, Japan) following the manufacturers'
Harbin, China.
instructions. http: //publish.neau.edu.cn
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Journal of Northeast Agricultural University (English Edition)
Vol. 23 No. 4 2016
Primer design and relative qRT-PCR. cDNA from healthy cow mammary tissues was subjected to qRT-
Statistical analysis
PCR. The specific primers of genes that were used for
All the data were presented as mean±SEM. For the
Power SYBR® Green QPCR master mix (Applied Bio-
expression levels of genes in lactating cows, and data
systems, USA) based on qRT-PCR analysis are shown in
were analyzed by ANOVA (GraphPad Prism 5, La
Table 2. β-actin gene was used as a reference control
Jolla, CA). Since a significant (P<0.01) effect of the
gene. To assess the specificity of amplified product,
roughage type was shown, the differences between two
dissociation curves were generated at temperatures
roughage types were tested using Duncan's test with a
between 55℃ and 95℃. All the qRT-PCR reactions
probability of 0.05.
were performed at 95℃ for 30 s, followed by 40 cycles at 95℃ for 5 s, 60℃ for 34 s. After 40 cycles of amplification, the threshold cycle (Ct) values were
Results
obtained automatically by the instrument and then
Milk production and composition of CS and
used for quantitative analyses. Amplifications were
MF groups
performed in triplicate for each sample. The data were
Milk production data are presented in Table 3. Cows
performed by 2
-ΔΔCT
method (Huang et al., 2012).
fed corn straw produced less milk yield, total solid and dry matter intake than cows fed mixed forage. Cows
Table 2 Primers for critical regulators associated with milk fat and protein synthesis
fed mixed forage diet tended to produce more milk fat and protein compared with cows fed corn straw diet. The proportion of milk fat, protein and lactose in MF
Primer
group were higher than those in CS group. The lactose
CSN2 GCF_000003055.6
F: GTACCTGGTGAGATTGTGG R: CTGTTTGCTGCTGTTCCT
There were no significant differences in proportions of
STAT5 NM_001012673.1
F: GTCCCTTCCCGTGGTTGT R: CGGCCTTGAATTTCATGTTG
Gene
mTOR
Accession No.
F: ATGCTGTCCCTGGTCCTTATG XM_001788228.1 R: GGGTCAGAGAGGTGGCCTTCAA
AKT1
NM_173986.2
F: TAAAGAAGGAGGTCATCGTGG R: CGGGACAGGTGGAAGAAAA
β-actin
AF_481159.1
F: AAGGACCTCTACGCCAACACG R: TTTGCGGTGGACGATGGAG
ACC
GCF_000003055.6
F: AGACAAACAGGGACCATT R: AGGGACTGCCGAAACAT
FAS
GCF_000003055.6
F: CCACGGCTGTCGGTAAT R: CGCTCCCACTCATCCTG
SCD
AF_188710.1
F: CTGTGGAGTCACCGAACC R: TAGCGTGGAACCCTTTT
SREBP1c NM_001113302 FABP3
DN_518905
F: CCAGCTGACAGCTCCATTGA R: TGCGCGCCACAAGGA F: GAACTCGACTCCCAGCTTGAA R: AAGCCTACCACAATCATCGAAG
PPARγ GCF_000003055.6
F: TCAAAGTGGAGCCTGTATC R: CATAGTGGAACCCTGACG
PTEN GCF_000003055.6
F: CACCTATTCCTCAGCCCTTAT R: AACCCTCATTCAGACCTTCAC
E-mail:
[email protected]
did not differ between the two dietary treatments. milk fat and protein and lactose (%) between CS and MF groups. Table 3 Milk production and composition changes for cows fed two different diets Item
CS group
MF group
SEM
Milk yield
11.38
12.80
1.49
Fat
4.38
5.22
0.27
Protein
3.14
3.51
0.19
Lactose
4.51
4.78
0.06
Total solids
12.79
13.72
0.11
Dry matter intake
10.45
13.10
1.09
SCC
–4.92
–6.40
0.24
Fat
4.15
4.10
0.22
Protein
3.26
3.49
0.08
Lactose
4.68
4.33
0.03
Composition (%)
CS, Corn straw; MF, Chinese wildrye+alfalfa hay; SCC, Somatic cell counts; Somatic cell score=log2(SCC/10000)+3.
·43·
Sha Shan-shan et al. Effect of Different Roughages on Milk Protein and Milk Fat Synthesis in Dairy Cows
varied significantly (P<0.001). mRNA level of genes Expression of genes of milk fat and protein
associated with milk protein, normalized by the levels
synthesis in dairy cows
of β-actin mRNA, mTOR, STAT5, CSN2 and PTEN
qRT-PCR analyses detected the expression of genes
varied significantly (P<0.05); AKT1 gene extremely
associated with milk fat and protein synthesis in two
varied significantly (P<0.001). These results are
group cows. mRNA level of genes associated with
presented in Fig. 1. These results suggested the genes
milk fat, normalized by the level of β-actin mRNA,
were related to milk fat and protein synthesis and the
ACC, PPARγ and FABP3 genes varied significantly
expressions of genes were higher in mixed forage
(P<0.05); FAS, SCD and SREBP1c genes extremely
group than those in corn straw group. 1.5
*
1.5
mRNA expression relative to β-actin
mRNA expression relative to β-actin
2.0
1.0 0.5 0
CS
**
1.0 0.5 0 CS
MF
4
1.0 0.5 0
CS
3 2 1 0
MF
CS
1.5 1.0 0.5 CS
*
1.5 1.0 0.5 0 CS
CS
MF
*
2.0 1.5 1.0 0.5 0
MF
CS
MF
3 2 1 MF
2.5
PTEN
2.0 1.5 1.0 0.5 0
3
* mRNA expression relative to β-actin
*
mRNA expression relative to β-actin
mRNA expression relative to β-actin
0
STAT5
SREBP1c
CSN2
0.5
2.5
2.0
MF
CS
1.0
mTOR
mRNA expression relative to β-actin
2.0
0
1.5
MF
2.5
** mRNA expression relative to β-actin
mRNA expression relative to β-actin
2.5
4
*
2.0
SCD
FAS
0
2.5
** mRNA expression relative to β-actin
**
1.5
mRNA expression relative to β-actin
mRNA expression relative to β-actin
2.0
MF AKT1
ACC
CS
MF
*
2 1 0 CS
MF
FABP3
PPARγ
Fig. 1 Expression of genes associated with milk fat and protein synthesis between CS and MF groups Relative amount of mRNA of genes to β-actin mRNA is calculated as 2-△△CT. Means (±SE) with different superscripts differ significantly (P<0.05).
http: //publish.neau.edu.cn
·44·
Journal of Northeast Agricultural University (English Edition)
Vol. 23 No. 4 2016
the milk protein synthesis signaling pathway in dairy
Discussion
cows. Our results showed that STAT5, AKT1, mTOR, CSN2 and PTEN mRNA levels were expressed at
The experiment feeding different roughages in the
higher levels in MF group than those in CS group.
diet is often associated with ruminal pH which can
Some studies suggested that JAK2-STAT5 pathway
affect digestive effectiveness. Mixed forage group
and mTOR pathway played important roles in initia-
has a higher mean rumen pH compared with simplex
tion and maintaining of lactation in dairy cows.
corn straw group. The relationship between roughage
STAT5 activity is mostly regulated through tyrosine
type and change in milk yield and milk fat and protein
phosphorylation status, which leads to their dimeriza-
can be explained by changes in rumen fermentation
tion, nuclear translocation and further regulated the
patterns. The dietary nitrate addition had significant
expression of target genes associated to milk protein
effects on rumen fermentation, nutrient digestibility
synthesis. AKT1 can stimulate the translation of milk
and microbial protein synthesis in dairy cows (Olijhoek
proteins through its ability to phosphorylate eukaryotic
et al., 2016). It is indicated that mixed roughage is
translation initiation factor 4E binding protein 1
beneficial to ruminal function in dairy cows. More
(4EBP1). AKT1 is active in the form of phosphoryla-
researches are required to understand mechanisms
tion and regulates the proliferation and differentiation
of rumen microorganism's adaptation to different
of mammary epithelial cells and lactation performance.
roughage types and proportion. In this study, higher
PTEN can regulate the milk protein synthesis by down-
dry matter intake (DMI) was observed in mixed forage
regulating PI3K-AKT pathway (Dupont et al., 2002).
group which was due to a faster rate of digestion and
A recent study showed that PTEN-AKT pathway was
passage from the rumen. Response in milk yield also
required for the initiation of lactation through the
might be on account of significant difference in DMI
induction of autocrine PRL, providing a direct link
between two dietary treatments. Meanwhile, milk
between AKT and STAT5 pathways. The production
somatic cell count (SCC) is not only a measure of
of autocrine PRL was regulated by PTEN-PI3K-
herd udder healthy performance, it is also a standard
AKT pathway (Wang et al., 2014). β-casein (CSN2)
for milk quality. The milk SCC in CS group was
is the major milk protein in dairy cows, it is also an
significantly higher than that in MF group. Increased
indicator of lactation ability for mammary gland. The
SCC had been associated with decreased milk in
obvious changes in the expression levels of β-casein
the mid-lactation cows. The effect of a corn straw
are hallmarks of mammary gland development and
or mixed forage diet on endocrine, metabolism and
differentiation. β-casein mRNA level was higher in
lactation performance in periparturient Holstein cows.
MF group than that in CS group, which could promote
The higher milk SCC in this study for CS treatment
the milk protein synthesis in dairy cows. Our results
might imply an incidence of intramammary infection,
revealed that the higher expression levels of mTOR,
which negatively affected milk production and quality.
STAT5, AKT1, CSN2 and PTEN could stimulate milk
In this study, different roughage types would affect
protein synthesis in dairy cows.
milk protein synthesis in dairy cows. It is known that
In this study, two different roughages had significant
different roughage types can affect rumen microbial
effects on the milk fat synthesis. On one hand, mixed
fermentation, improve contents of free amino acid and
forage could alter rumen fermentation environment
increase the raw materials of milk protein synthesis.
and improve the amount of fatty acid, such as acetic
Our results suggested that the milk protein synthesis
acid and hydroxybutyric acid. On the other hand, long
was higher in MF group than that in CS group. mTOR,
chain unsaturated fatty acids in milk were obtained
STAT5, AKT1, CSN2 and PTEN are major factors in
from arterial blood, and these unsaturated fatty acids
E-mail:
[email protected]
·45·
Sha Shan-shan et al. Effect of Different Roughages on Milk Protein and Milk Fat Synthesis in Dairy Cows
were mainly from diets. Our results clearly showed
acid related to milk fat synthesis. The contents of milk
that the levels of milk fat in MF group were higher
fat were higher in MF group than those in CS group.
than those in CS group. Many genes had been reported involved in the process of milk fat metabolism, such as ACC, FAS, SCD, FABP3, SREBP1c and PPARγ.
Conclusions
FABP3 was expressed mainly in dairy cow mammary
In summary, this study suggested that roughage
gland was reported to be a key transcription regulating
types could affect the milk fat and protein synthesis
factor in the milk fat synthesis signaling pathway
by regulating mRNA expression levels of genes
(Dubey et al., 2016). Recent studies indicated FABP3
involved in milk fat and protein synthesis in mammary
was the target gene of SREBP1c and PPARγ, FABP3
gland. We have gained new insights into the effects
upregulated the expression of SREBP1c and PPARγ
of roughage types on the production and quality of
to increase lipid droplet accumulation (Liang et al.,
milk in the dairy cow. Ongoing efforts are required to
2014). SREBP1c was considered a central hub in the
understand the exact mechanism by which different
transcriptional network controlling milk fat synthesis
roughages regulated lactation performance.
in dairy cows (Li et al., 2014). Compared with CS diet, SREBP1c had a significant increase in expression
References
of genes in MF diet. Overall, the results provided
Acosta D A V, Denicol A C, Tribulo P, et al. 2016. Effects of rumen-
strong supports for a central role of SREBP1c in the
protected methionine and choline supplementation on the preim-
regulation of milk fat synthesis in dairy mammary
plantation embryo in holstein cows. Theriogenology, 85(9): 1669-
gland (Xu et al., 2016). In addition, milk fat synthesis
1679.
appeared to be regulated by PPARγ, at least in bovines.
Ametaj B N, Zebeli Q, Saleem F, et al. 2010. Metabolomics reveals
Some studies found that the inhibition of PPARγ
unhealthy alterations in rumen metabolism with increased propor-
signaling was involved in decrease of lipid synthesis
tion of cereal grain in the diet of dairy cows. Metabolomics, 6(4): 583-
in murine mammary tissue (Kadegowda et al., 2013).
594.
PPARγ was expressed in dairy cow mammary gland, where it played a critical role in regulating energy
Bionaz M, Loor J J. 2008. Gene networks driving bovine milk fat synthesis during the lactation cycle. BMC Genomics, 9(1): 1-21.
balance and the metabolism of fatty acids and glucose
Brunette T, Baurhoo B, Mustafa A F, et al. 2015. Effects of replacing
(Parodi et al., 2016). Recently, a number of studies
grass silage with forage pearl millet silage on milk yield, nutrient
demonstrated that PPARγ could influence triacylgly-
digestion, and ruminal fermentation of lactating dairy cows. Journal of
cerol synthesis and secretion in dairy cow mammary
Dairy Science, 99(1): 269-279.
epithelial cells (Liu et al., 2016). qRT-PCR analysis
Chen Q, Wu Y, Zhang M, et al. 2016. Milk fat globule is an alternative to
revealed the expression of FABP3, SREBP1c and
mammary epithelial cells for gene expression analysis in buffalo.
PPARγ was higher in MF group than that in CS group.
Journal of Dairy Research, 83(2):1-7.
Our results revealed that the higher expression of
Dubey P K, Goyal S, Mishra S K, et al. 2016. Identification of poly-
FABP3, SREBP1c and PPARγ could stimulate milk fat
morphism in fatty acid binding protein 3 (FABP3) gene and its
synthesis in dairy cow mammary gland. ACC, FAS and
association with milk fat traits in riverine buffalo (Bubalus bubalis).
SCD were the limited enzymes in the process of milk
Tropical Animal Health & Production, 47(8): 1-5.
fat synthesis, which played crucial roles in fatty acid
Dupont J, Renou J P, Shani M, et al. 2002. Pten overexpression suppre-
synthesis and transport. Some studies revealed that
sses proliferation and differentiation and enhances apoptosis of the
these genes were involved in the regulation of milk
mouse mammary epithelium. Journal of Clinical Investigation,
fat metabolism. The expression of these genes in MF
110(6): 815-825.
group at higher level increased the expression of fatty
Huang J G, Gao X J, Li Q Z, et al. 2012. Proteomic analysis of the
http: //publish.neau.edu.cn
·46·
Journal of Northeast Agricultural University (English Edition)
Vol. 23 No. 4 2016
nuclear phosphorylated proteins in dairy cow mammary epithelial
supplementation. Revista Brasileira De Zootecnia, 41(3): 790-796.
cells treated with estrogen. In Vitro Cellular & Developmental Bio-
Pineda A, Drackley J K, Garrett J, et al. 2016. Effects of rumen-pro-
logy-Animal, 48(7): 449-457. Kadegowda A K, Khan M J, Piperova L S, et al. 2013. Trans-10, cis
tected niacin on milk production and body temperature of middle and late lactation holstein cows. Livestock Science, 187: 16-23.
12-conjugated linoleic acid-induced milk fat depression is associated
Qin T, Wang H, Bu D, et al. 2013. Effect of a corn straw or mixed
with inhibition of PPARγ signaling and inflammation in murine
forage diet on endocrine, metabolism and lactation performance in
mammary tissue. Journal of Lipids, 2013(9): 890343-890343.
periparturient cows. Journal of Animal & Veterinary Advances, 12(2):
Liang M Y, Hou X M, Qu B, et al. 2014. Functional analysis of FABP3 in
276-282.
the milk fat synthesis signaling pathway of dairy cow mammary
Seo M, Lee H J, Kim K, et al. 2016. Characterizing milk production
epithelial cells. In Vitro Cellular & Developmental Biology Animal,
related genes in holstein using RNA-seq. Asian Australasian Journal of
50(9): 865-873.
Animal Sciences, 29(3): 343-351.
Li N, Zhao F, Wei C, et al. 2014. Function of SREBP1c in the milk
Wang Z, Hou X, Qu B, et al. 2014. Pten regulates development and
fat synthesis of dairy cow mammary epithelial cells. International
lactation in the mammary glands of dairy cows. Plos One, 9(7): 1-13.
Journal of Molecular Sciences, 15(9): 16998-17013.
Weng X, Bu D, Li F, et al. 2012. Responses in milk yield, milk
Liu L, Lin Y, Liu L, et al. 2016. Regulation of peroxisome proliferator-
composition and rumen fermentation in lactating cows receiving a
activated receptor gamma on milk fat synthesis in dairy cow
corn straw or mixed forage diet. Journal of Animal & Veterinary
mammary epithelial cells. In Vitro Cellular & Developmental
Advances, 11(24): 4678-4683.
Biology-Animal, 16: 1-16.
Wright T C, Moscardini S, Luimes P H, et al. 1998. Effects of rumen-
Olijhoek D W, Hellwing A L, Brask M, et al. 2016. Effect of dietary
undegradable protein and feed intake on nitrogen balance and milk
nitrate level on enteric methane production, hydrogen emission,
protein production in dairy cows. Journal of Dairy Science, 81(3):
rumen fermentation, and nutrient digestibility in dairy cows. Journal
784-793.
of Dairy Science, 99(8): 6191-6205.
Xu H F, Luo J, Zhao W S, et al. 2016. Overexpression of SREBP1c
Parodi P W. 2016. Cooperative action of bioactive components in milk
(sterol regulatory element binding protein 1) promotes de novo fatty
fat with PPARs may explain its anti-diabetogenic properties. Medical
acid synthesis and triacylglycerol accumulation in goat mammary
Hypotheses, 89: 1-7.
epithelial cells. Journal of Dairy Science, 99(1): 783-795.
Peres A A D C, Vasquez H M, Silva J F C D, et al. 2012. Production
Zhao S, Zhao J, Bu D, et al. 2014. Metabolomics analysis reveals large
and quality of milk from mantiqueira dairy cows feeding on mom-
effect of roughage types on rumen microbial metabolic profile in
basa grass pasture and receiving different sources of roughage
dairy cows. Letters in Applied Microbiology, 59(1): 79-85.
E-mail:
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