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Article

Influence of Using Various Levels of Protein Concentrate in Rations of Ayrshire Dairy Cows on Rumen Microbiome, Reproductive Traits and Economic Efficiency

by
Nikolai P. Buryakov
1,
Dmitrii E. Aleshin
1,*,
Maria A. Buryakova
1,
Anastasya S. Zaikina
1,
Georgy Y. Laptev
2,3,
Larisa A. Ilina
2,3,
Aleksandr S. Petrov
1,
Nikolay M. Kostomakhin
1,
Ahmed I. El Sheikh
4,
Ferial M. Sahwan
5 and
Mohamed M. Fathala
1,5
1
Department of Feeding Animals, Institute of Animal Science and Biology, Russian State Agrarian University—Moscow Timiryazev Agricultural Academy, 127434 Moscow, Russia
2
Molecular Genetic Laboratory, BIOTROF+ Ltd., 196650 Saint-Petersburg, Russia
3
Department of Large Animal Husbandry, Faculty of Bioengineering and Biotechnology, Saint-Petersburg State Agrarian University, Pushkin, 196601 Saint-Petersburg, Russia
4
Department of Veterinary Public Health, College of Veterinary Medicine, King Faisal University, Al-Hofuf 31982, Saudi Arabia
5
Animal Husbandry and Wealth Development Department, Faculty of Veterinary Medicine, Alexandria University, Alexandria 5410012, Egypt
*
Author to whom correspondence should be addressed.
Vet. Sci. 2022, 9(10), 534; https://doi.org/10.3390/vetsci9100534
Submission received: 13 July 2022 / Revised: 9 September 2022 / Accepted: 15 September 2022 / Published: 28 September 2022
(This article belongs to the Special Issue Physiology, Nutrition, and Host-Microbiome Interaction in Ruminants)

Abstract

:

Simple Summary

Numerous studies in animal nutrition science have demonstrated a close connection between the chemical composition and nutritional value of cow diets, the number of rumen bacterial communities and animal productive and reproductive performance. Thus, the microorganisms of cow rumen play a primary role in the processes of digestion; meanwhile, it is necessary to highlight that their functional significance is much wider. The aim of this study was to investigate the outcomes of the inclusion of different levels of protein concentrate in rations of Ayrshire dairy cows in relation to the rumen microbiome, reproductive traits and economic value. Our manuscript presents molecular biological studies to establish the quantitative and specific composition of the microorganisms of the rumen. T-RFLP analysis was performed to determine the percentage of the components of the bacterial community. The results showed that the supplementation of “Agro-Matic” caused no deviations from the normal standards of cellulolytic, amylolytic, transit and pathogenic bacteria, no impact on reproductive traits and significantly improved the profitability of the milk production process. These findings provide a scientific addition for a greater understanding of the rumen microbiome of dairy cows when supplemented by different levels of protein concentrate in their rations.

Abstract

Animal feeding research has revealed a close relationship between the chemical composition and nutritional value of cow rations, the number of rumen bacterial communities and animal productivity. Our present research aimed to investigate the outcome of inclusion of different levels of protein concentrate in rations of Ayrshire dairy cows in relation to the rumen microbiome, reproductive traits and economic value. Forty-five Ayrshire cows were divided into three groups (15 in each). The first control group 0 AM was fed the basal ration, while the second 1 AM and third 2 AM groups were fed the basic ration with the sunflower cake replaced by different levels of protein concentrate Agro-Matic (1 and 1.5 kg/head/day, respectively). Ruminal fluid samples, reproductive parameters and economic value were studied. During the early lactation period, 120 days in milk (DIM), the number of pathogenic microorganisms decreased in both the 1 AM and 2 AM groups when compared with the control group 0 AM; moreover, a significant decrease in Peptococcus bacteria was recorded in the 1 AM group, while Fusobacterium decreased in the 2 AM group. At the end of lactation, the total number of cellulolytic bacteria increased with the use of protein concentrate in animals of the 1 AM group when compared with the control group. Regarding undesirable bacteria, the 2 AM group recorded the highest value for Lactobacilli and Actinobacteria when compared with the 0 AM group (0.18 and 8.90 vs. 0.04 and 4.24), and the differences were significant (p < 0.05). The insemination index and the duration of the days open period decreased in the 2 AM group, while the differences were p > 0.05. The profitability of milk production increased by 2.76% and 6.28% in both supplemented groups, and the differences compared to the 0 AM group were significant. We conclude that the supplementation of Agro-Matic caused no deviations from the normal standards of cellulolytic, amylolytic, transit and pathogenic bacteria, no impact on reproductive functions and significantly improved the profitability of the milk production process of Ayrshire dairy cows.

1. Introduction

Studies on animal feeding have shown a close association between the chemical composition and nutritional value of the ration of cows, the number of bacterial communities of the rumen and the productivity of animals [1,2,3,4]. Thus, the microorganisms of cow rumen play a primary role in the processes of digestion; meanwhile, it is necessary to emphasize that their functional significance is much broader. The symbiotic microflora of the rumen perform a detoxification function, participate in the digestibility of nutrients, prevent the invasion of parasites and pathogens and stimulate the development of immunity [4,5,6]. Therefore, the maintenance and functioning of the microbiota are also important factors in the prevention of gastrointestinal diseases, such as lactate acidosis, alkalosis, ketoses, laminates, mastitis and limb diseases, which significantly increase the productivity of dairy cattle [2,3,7,8,9,10,11,12,13,14].
Wang et al. (2018) [11] used the 16S rRNA gene sequencing method for studying the goat rumen microbial community. They found that healthy animals (goats) had a similar taxonomic profile, while significant differences were found in goats suffering from diarrhea manifestations. In particular, animals with diarrhea showed a decrease in species richness and diversity. In another study, Zhong et al. (2014) [12] demonstrated the association between the composition of the rumen microbiota and the number of somatic cells in milk. They found that cows with clinical manifestations of mastitis and a high number of somatic cells in their milk had an increased rumen bacterial diversity and an increased proportion of bacteria phylum SR1, Actinobacteria, Clostridiales and Butyrivibrio.
Dairy cattle feed includes the participation of anaerobic microorganisms with undetermined enzymatic activity that live in the rumen and other parts of the gastrointestinal tract of the animal [14,15,16]. Thus, the study of rumen content and regulation of the microbial population to increase the milk productivity of cows becomes practical in dairy and beef cattle breeding [15,17,18]. Throughout the process of the growth and development of ruminants and certain anaerobic microorganisms, which develop when feed and water are consumed, symbiotic associations are developed in the rumen. The developed symbiotic relationship between the host and the microbiota results in mutually beneficial cooperation [6,19,20].
Sunflower cake and meal are obtained by pressing and extracting oil from sunflower seeds [21]. Nevertheless, it should be noted that they experience a high degree of protein breakdown in the rumen. Thus, the degree of the degradable protein is 97%, and only 3% is non-degradable fractions that enter the small intestine where they are broken down to amino acids and used by the animal body for milk synthesis [21,22,23,24]. The content of crude protein in sunflower and soybeans meal varies significantly (26–50%), and crude fiber comprises 15–33% [22,23,24]. As a result of the flow digestibility of the sunflower meal and due to the high fiber content, it is fed to cows at no more than 3.6 kg/head/day. Therefore, the production practice of the developed countries of the world has shown that lupin is now the most promising crop of legumes [25,26]. It is a high-protein crop which is slightly inferior to soy in terms of the content of metabolic energy, crude fat and the biological value of the protein [27].
The protein content in lupin averages 50–60%, while a large proportion of the protein is represented by globulins, albumins (26–40%) and glutamins (12%). The biological value of lupin protein is 78% [23,24,26,27], and, in terms of the total content of essential amino acids, lupin (289.0 g/kg CP) is slightly inferior to soy (332.7 g/kg CP) and surpasses feed beans (134.9 g/kg CP), which are at the same level. Peas occupy last place, and the content of essential amino acids is 99.1 g/kg in natural grain [23,27]. At the same time, the content of methionine, cystine, leucine and isoleucine in white lupin grain is higher than in soybeans [28,29,30], but it is deficient in tryptophan [5,23,24,27]. The protein of white lupin grain consists of 36.7% essential amino acids, where 5.9–7.1% is allocated to the content of leucine, 4.1–7.5% to lysine and 3.1–4.3% to valine [25,29].
The processing of such resources with a protein content of 20% or more, using modern research, has increased the production of food and feed protein to 5 million tons annually, which makes up for its deficiency [30,31,32]. However, the high price of feed and the undulation in the production of animal feed promote the search for alternative protein sources that can be used in the diets of ruminant animals [32,33,34,35]. Consequently, this research was carried out to study the bacterial community of the rumen of lactating cows; evaluate some indicators of the reproductive ability of cows; calculate the economic efficiency of using protein concentrate Agro-Matic in the feed of Ayrshire lactating cows; and give recommendations on the use of the protein concentrate Agro-Matic in the diet of highly productive cows during production.

2. Materials and Methods

2.1. Animals and Feed Strategy

The current study was carried out from March 2018 to 2021 on a farm belonging to Agricultural Production Cooperative ‘Plemzavod Maysky’ in the Vologda region, Russia. The research was carried out in accordance with the methodology approved by the bioethics committee of the Russian State Agrarian University Russian State Agrarian University - Moscow Timiryazev Agricultural Academy (protocol no. 2021-4, 12 October 2021).
Forty-five Ayrshire dairy cows in dry period (three weeks before calving) were selected and divided into 3 groups (15 in each), taking into account the origin, age, live weight and physiological state, with a milk productivity of more than 8000 kg of milk per lactation. The animals were clinically healthy and were housed under the same conditions of housing and management throughout the experiment (3 weeks before calving until the end of lactation period). Cows were milked three times per day (3X).
The first group of cows, which served as control group 0 AM, received the normal basic ration after balancing the nutrient contents as per the requirements of high-yielding cows (All-Russia Institute of Animal Husbandry, 2016) [36] (Table 1). On the other hand, cows of the 2nd and 3rd group received normal basic ration with the sunflower cake replaced with 300 gm and 500 gm of protein concentrate Agro-Matic, respectively, until calving. After calving, these cows of the 2nd and 3rd group received normal basic ration with the sunflower cake replaced with 1 and 1.5 kg of protein concentrate Agro-Matic, respectively, until the end of the lactation period.

2.2. Feed Composition

The protein concentrate Agro-Matic used consisted of white lupin grain, poultry meat and bone meal (without feathers) (Table 2, Table 3 and Table 4). Amino acids in the Agro-Matic protein concentrate were determined according to state standard 32195-2013 (ISO 13903: 2005) [37], while minerals, except cobalt, were measured by atomic absorption spectrometry in accordance with state standard 32343–2013 [38]. Cobalt was determined by photometric method in accordance with state standard 26573.2-2014 [39] in the testing center of the All-Russian State Center for Quality and Standardization of Veterinary Drags and Feed (Moscow). The rations formulation was carried out using the Feed Optima program to fulfill the cows’ requirements (energy, protein, vitamins and minerals) during the dry period and lactation period.

2.3. Bacterial Community

In order to study the bacterial community, samples of ruminal fluid were extracted 3 h after feeding using a transesophageal tube (rumen probe) according to the method of Geishauser et al. (2012) [40], Laptev et al. (2016) [7] and Larsen et al. (2020) [22].
Molecular biological studies to establish the quantitative and specific composition of the microorganisms of the rumen were carried out in the laboratory of molecular genetics at BIOTROF+ LLC. T-RFLP analysis was performed to determine the percentage of components of the bacterial community. The T-RFLP analysis method is one of the most popular metagenomic methods of the first generation, since it is a fast and fairly easily reproducible way to assess changes in natural and artificial microbial communities [41].
This method is based on the analysis of the variability of the conservative genome regions of the 16S DNA genes of the bacteria of the rumen content of experimental cows since it has been established that the certain region of the gene that enters (encodes) 16S rRNAs contains highly conserved sequences and hypervariable regions. Due to this, we can use primers for sequencing complementary to conservative sites to obtain sequences of hypervariable sites that can classify (intensify) a microorganism to a specific species [42].
Microflora analysis by the T-RFLP method includes the following stages:
  • Allocation of the total (total) DNA of microorganisms;
  • PCR amplification of fragments of bacterial genes (16S rDNA) with fluorescently labeled primers (from the 5′ end);
  • Enzymatic treatment of the amplification using restriction endonucleases (endonucleases that recognize sequences of nucleotides are usually used);
  • Separation of DNA fragments obtained as a result of restriction in a polyacrylamide gel in a sequencer together with a fluorescently labeled DNA marker of known size.
Total DNA from the samples was isolated using the “Genomic DNA Purification Kit” (Fermentas, Inc., Vilnius, Lithuania) according to the manufacturer’s recommendations. PCR was performed on a Verity DNA amplifier (Life Technologies Corp., Inc., Carlsbad, USA) with eubacterial primers (Table 5), which allowed the amplification of a fragment of the 16S rRNA gene with positions from 63 to 1087 (numbering is indicated for the 16S rRNA gene Esherichia coli) in the mode: 95 °C—3 min (1 cycle); 95 °C—30 s, 55 °C—40 s, 72 °C—60 s (35 cycles), 72 °C—5 min.
The calculation of the size of the peaks and their area was carried out in the Fragment Analysis program (Life Sciences, Indianapolis, USA) and was accepted in the study on the basis of which subtypes (phylotypes) were isolated with an error of 1 nucleotide, and their relative content in the microbial community was determined. The belonging of bacteria to a certain taxonomic group was determined using a database (http://mica.ibest.uidaho.edu/trflp.php, accessed on 22 January 2022).

2.4. Reproductive Ability

The following parameters were estimated to assess the reproductive ability of dairy cows.
Calving interval was estimated as the time interval between two successive calvings, and days open period was estimated as the time interval between the date of calving and date of successful conception and service per conception (insemination index per conception).

2.5. Economic Efficiency

The economic efficiency analysis was carried out at the end of the early lactation period (120 DIM). At the same time, the costs of feed and feed additives were taken into account in the quotes of current prices for the duration of the experiment (2021). The data and parameters included in calculation of economic efficiency were subjected to the same statistical analysis applied to all the studied parameters of the experiment. The economic efficiency was estimated according to Kutikov and Ambrosov (1966) [43] and Antonova et al. (2011) [44] using the following formulas:
Feed costs for the period of experiment = the cost of a daily ration × 120 (DIM);
Cash obtained (total return) from the sale of milk = gross milk yield, kg (120 DIM) × the selling price of 1 kg of milk;
Profit from the sale of milk (net return) = cash obtained from the sale of milk (total return) − total milk production costs;
The profitability % = profit from the sale of milk (net return) / total milk production costs × 100.

2.6. Statistical Analysis

Data were statistically analyzed by a one-way analysis of variance test using the SPSS program (2017) [45]. Differences between means were tested according to Duncan’s multiple-range test (Duncan, 1955) [46] at p < 0.05 according to the following model:
Xijk = μ + Ai + eijk
where:
  • Xijk = an individual observation;
  • μ = overall mean;
  • Ai = effect of ith treatment (0 AM, 1 AM and 2 AM);
  • eijk = random error.

3. Results

3.1. Bacterial Community of the Rumen of Cows

The analysis of the microflora content of the rumen of Ayrshire dairy cows in the study receiving protein concentrate Agro-Matic during the early lactation period (120 DIM) is presented in Table 6. There were no significant differences between the control and the Agro-Matic 1 AM and 2 AM supplemented groups in most of the rumen microbiota except in that of pathogenic microorganisms, such as Peptococcus (Figure 1) and fusobacteria (Figure 2); a significant decrease was noted between the control and the Agro-Matic 1 AM and 2 AM supplemented groups.
The amount of Bacteroidetes in cows of the 1 AM and 2 AM groups that received protein concentrate Agro-Matic in their rations was reduced by 1.5% and 2.9%, respectively, when compared to the 0 AM group (Table 6). With reference to the content of Selenomonadales that breaks down urea and volatile fatty acids, an increase of 1.7% and 4.1% was noted in the 1 AM and 2 AM groups, respectively, when compared to the control animals.
The experimental groups of animals showed no deviations from the normal standards for cellulolytic, amylolytic, transit and pathogenic bacteria. On the other hand, both the 1 AM and 2 AM groups revealed a decrease in the number of cellulolytic microorganisms fermenting the carbohydrates of the feed (starch and cellulose); in contrast, microbiota with antimicrobial activity that stimulate the animal immunity, such as Bifidobacterium sp. and Bacillus sp., were increased.
The concentration of cellulolytic bacteria in the experimental groups was higher than normal; nevertheless, their total number in the 2 AM group was less than in the 1 AM group of cows and the control also, which amounted to 32.4%, 41.1% and 44.44%, respectively. The inclusion of 1.0 kg of protein concentrate Agro-Matic in the ration of the 1 AM group increased the content of cellulolytic bacteria of the family Clostridiaceae and Thermoanaerobacteriaceae in the rumen content, and their number was within normal limits. The level of Clostridiaceae, Thermoanaerobacteriaceae and Ruminococcaceae in the 1 AM group was 2.5%, 0.3% and 1.8% higher than in the control group, respectively (Table 6).
Concerning amylolytic microflora, it was noted that the content of Succinivibrio bacteria in the 1 AM group was 0.7% higher than in the control one. On the other hand, the content of Bacteroidetes was 1.5% and 2.9% lower in the 1 AM and 2 AM groups in relation to the control, respectively.
With reference to the microflora stimulating the development of immunity, the 1 AM group recorded a higher content of Selenomonadales, Bifidobacterium and Bacillus when compared to the 0 AM group.
The number of pathogenic microorganisms of mastitis and other diseases (Lactobacillus sp., actinomycetes and enterobacteria) was lower in the animals of both the 1 AM and 2 AM groups receiving protein concentrate as part of their rations (Table 6) compared with the control cows.
Regarding pathogenic microorganisms such as Fusobacterium (Figure 1) and Peptococcus (Figure 2), a significant decline was observed in cows when the protein concentrate Agro-Matic was supplemented when compared with the 0 AM group.
The content of the microflora of the rumen of experimental cows at the end of the lactation period is presented in Table 7. The results of the study showed that the composition of the microbial community of the rumen of the cows under study was represented by a rich variety of microorganisms; however, the content of all microorganisms was within normal values.
The total number of cellulolytic bacteria at the end of lactation with the use of protein concentrate in animals of the 1 AM experimental group increased by 6.4% compared with the 0 AM group, and, with the introduction of 1.5 kg Agro-Matic, it increased by 4%. The content of bacteria more responsible for the breakdown of the complex carbohydrates of cellulose and hemicellulose (Lachnospiraceae, Ruminococaceae and Eubacteriaceae) decreased in the 1 AM group when compared with the control cows.
On the other hand, the level of Clostridiaceae responsible for the digestibility of feed protein and Thermoanaerobacteria increased by 1.38% and 7.17% when supplementing with protein concentrate Agro-Matic in the 1 AM group and 2 AM group, respectively, when compared with the control animals.
Concerning undesirable bacteria, both the 1 AM and 2 AM groups recorded the highest value for Lactobacillus (Figure 3) and Actinobacteria (Figure 4), representing 0.18% and 8.90% vs. 0.04% and 4.24% in the 0 AM group, and the differences were significant (p < 0.05). On the other hand, there were no significant differences between the control group and the Agro-Matic 1 AM and 2 AM supplemented groups with regard to the other rumen microbiota.
The level of Succinivibrio bacteria in animals of the control group of cows was lower than in the rumen of animals of the 1 AM group. Concerning the level of Bacteroidetes in the 1 AM group and the 2 AM group: they increased and represented 9.32% and 8.72% vs. 6.78% in the 0 AM group. On the other hand, the number of Succinivibrio bacteria in the rumen of cows in the 0 AM and 1 AM groups was almost the same.
The level of Selenomonadales in the control group represented the highest value when compared with both the 1 AM and 2 AM groups, representing 9.58% vs. 7.88% and 4.74%, respectively. On the other hand, animals of both the 1 AM and 2 AM groups recorded the highest values for Bacillus and Bifidobacterium and represented 7.90% and 0.17% vs. 6.96% and 0.14% when compared with the 0 AM group, respectively.
Referring to the content of “unidentified” bacteria in the collected samples: it was also insignificant. The functional role of this group of microorganisms has not been determined; therefore, it was not subject to decoding. Meanwhile, a high level of “unidentified” bacteria was observed in animals from the 0 AM group, amounting to 18%.
There was an increase in the proportion of opportunistic and pathogenic microflora in the rumen community of the 0 AM group. The level of Fusobacterium was within normal values in the three groups of lactating cows. However, when the protein concentrate was supplemented in the feed of the 2 AM group, the level of Fusobacterium increased compared to the 0 AM group, and its highest value was recorded, amounting to 1.00% versus 0.24%.
Moreover, the number of Staphylococcus was within normal values; however, the lowest level (0.03%) was recorded for cows in the 1 AM group, while it increased slightly (0.16%) in the 2 AM group. The present results show that in both the 1 AM and 2 AM groups, the level of Peptococcus decreased, representing 0.11% and 0.03%, respectively, vs. 0.65% in the control animals. With reference to the level of Campylobacteriaceae: the cows fed with protein concentrate Agro-Matic did not show significant differences from the control group, and both 1 AM and 2 AM groups had levels amounting to 0.61% and 0.62% vs. 0.82% in the 0 AM group.

3.2. Reproductive Parameters of Lactating Cows

The effect of supplementing with protein concentrate Agro-Matic on some indicators of the reproductive ability of Ayrshire dairy cows is shown in Table 8.
The calving interval period in the control group when using traditional protein feed in the basic ration in animals of the 0 AM group was the longest and represented 407.05 vs. 383.00 and 377.79 for the 1 AM and 2 AM groups, respectively. In both the 1 AM and 2 AM groups, the insemination index (S/C) decreased when compared to the 0 AM group and represented 2.0 and 2.6, respectively, vs. 3.0.
With reference to the days open period, it was also noted that a shorter days open period was recorded in both the 1 AM and 2 AM groups when compared to the 0 AM group, representing 107.33 and 98.50, respectively, vs. 123.12.

3.3. Economic Efficiency of Milk Production

The results relating to the economic efficiency of the inclusion of protein concentrate in the diet are shown in Table 9.
The economic efficiency analysis was carried out at the end of the lactation period. At the same time, the costs of feed and feed additives were taken into account in the quotes of current prices for the duration of the experiment (2020–2021).
The inclusion of protein concentrate Agro-Matic increased the cost of daily ration by USD 0.23 and USD 0.20 in the 1 AM and 2 AM groups, respectively, when compared with the control group due to the cost of the introduced protein concentrate Agro-Matic. Moreover, the feed costs for the period of experiment recorded a difference p < 0.05 between the different experimental groups and represented USD 761.37 and USD 757.98 vs. USD 733.73 for the 1 AM, 2 AM and 0 AM groups, respectively. The high milk productivity of cows is determined by full-concentrated feeding, genetic potential, live weight, milking technology and the animal welfare system [47]. Thus, the cash obtained from the sale of milk in both the 1 AM and 2 AM groups increased by USD 89.65 and USD 159.37, respectively, when compared to the 0 AM group; on the other hand, the total milk production costs were higher in the supplemented groups 1 AM and 2 AM when compared to the control group, and the differences were significant.
The profitability (%) was the lowest in the 0 AM group; however, with the introduction of protein concentrate Agro-Matic, it was increased by 2.76% and 6.28% in the 1 AM and 2 AM groups, respectively.

4. Discussion

4.1. Bacterial Community of the Rumen of Cows

Cellulolytic fermentation supplies the body of cows with substrates and ensures the digestibility of nutrients from indigestible to digested materials and transforms them into monomers with the help of microbial enzymes [48]. In general, the experimental groups of animals showed no deviations from the norm for cellulolytic, amylolytic, transit and pathogenic bacteria, which indicated balanced feeding. The introduction of Agro-Matic protein concentrate into rations caused a decrease in the number of cellulolytic microorganisms fermenting the structural carbohydrates of the plant feed [47,48,49,50] as microbiota with antimicrobial activity, it was noted a higher content of such as Bifidobacterium sp. and Bacillus sp. The observed depression of fiber digestion when adding protein concentrate Agro-Matic to the ration was a consequence of the negative associative effect of feed concentrate on ruminant activity and digestion. The level of cellulolytic bacteria in the experimental groups was higher than normal; however, the total sum in the 2 AM group was lower than that in the 1 AM group of lactating cows and the control group.
The effectiveness of the use of non-protein nitrogen by the rumen microflora for their own needs and protein synthesis of the body depends primarily on the ratio of sugar and protein in the ration [49]. It is known that if the dry matter of the animal diet contains 10–12% protein, then non-protein nitrogen is used well; if the protein is more than 14–16%, then the degree of assimilation of non-protein nitrogen decreases sharply. At the same time, for the development of microorganisms and the formation of protein, a sufficient number of easily digestible carbohydrates must be present in the feed [50,51].
At the beginning of the lactation period, calcium is poorly mobilized from the skeleton. As a result of intensive milk synthesis, the mobile supply of calcium is rapidly removed from the blood, disrupting regulatory functions. During this period, it is important that a sufficient level of magnesium is supplied to the ration. This element participates in the process of calcium mobilization from the cow’s backbone after calving. Magnesium deficiency makes it difficult to form a parathyroid hormone that mobilizes calcium. When analyzing the diet of cows by mineral nutrition, attention is paid to the ratio of calcium to phosphorus as part of the mineral metabolism of the body. To a greater extent, the ratio under consideration should be normalized in the diets of highly productive cows [52].
It is known that calcium ions are necessary for three predominant types of rumen cellulolytic bacteria, such as Fibrobacter succinogenes, Ruminococcus flavefaciens and Ruminococcus albus, which are present in the rumen fluid. Bacteria of the genus Ruminococcus probably synthesize cellulosomes that require the presence of calcium ions in the structure. The function of calcium in the degradation of cellulose by F. succinogenes is unknown, but it is also associated with the secretion or activation of cellulolytic enzymes [53].
When studying the microbiota of the rumen of cows at the end of the lactation period, we found that the inclusion of Agro-Matic protein concentrate in the rations directly affected the number of cellulolytic microorganisms fermenting structural carbohydrates of plant feed. Concerning the rumen microflora at the end of lactation, the sum of cellulolytic bacteria increased in all experimental groups. The highest level of cellulolytic was observed in animals of the 1 AM group. On the other hand, the decrease in the level of cellulolytic bacteria Lachnospiraceae and Ruminococcaceae in cows of the 1 AM group was probably due to a drop in the pH of the rumen content, as the concentration of these microorganisms largely depends on the acidity of the rumen, which is highly correlated with amylolytic microorganisms, such as Bacteroides and Succinivibrio, which are formed during the fermentation of concentrated feeds with a high level of starch.
It is known that Bacteroidetes are necessary for the ecosystem of the rumen of cows since they use starch of concentrated feed as a substrate for their vital activity and the formation of byproducts: lactic, acetic, propionic, succinic and butyric acids [52,53,54]. Additionally, in a study by Osborne and Dehority (1989) [54], it was suggested that some representatives of the Bacteroidetes phylum, such as Prevotella ruminicola, may synergistically participate in the degradation of plant cell walls in order to fully use feed cellulose, hemicellulose and pectin for conversion into volatile fatty acids. On the other hand, Bacteroidetes are responsible for the breakdown of protein [46] and starch in concentrated feed. In our study, in the experimental groups at the end of lactation period, a higher content of Bacteroidetes was observed. Therefore, the reduction in the number of this group in the control group was due to an increase in the level of available protein necessary for the growth of the number of bacteria. In this regard, it is possible to prove the increase in the intensity of protein metabolism in the rumen of the experimental lactating cows.
It was interesting to note that, at the beginning of lactation (120 DIM), both experimental groups (1 AM and 2 AM) revealed a lower content of Bacteroidetes compared to the control, amounting to 1.5% and 2.9%, respectively. The increase in the proportion of these bacteria noted at the end of lactation in animals of the experimental groups compared with the control group was probably due to the reorganization of the microbiome that occurred during lactation under the influence of the protein concentrate Agro-Matic. Interestingly, changes in the representation of bacteria of the order Selemonadales in the rumen of cows during the first period (120 DIM) and at the end of lactation had reverse trends of change compared with the content of Bacteroidetes. During the fermentation of starch and easily digestible carbohydrates, a high number of fermentation byproducts are formed—organic acids, among which is a high proportion of lactic acid, which is a substrate for bacteria of the Selenomonadales group. It has been reported that acid-utilizing bacteria of the genera Megasphaera, Selenomonas and Dialister are physiologically important groups for cattle, since they do not allow lactate to accumulate in the rumen, the increase in the proportion of which can lead to the decrease in pH and initiate the development of lactate acidosis [47,48]. At the beginning of the lactation period, the representation of these microorganisms in the rumen of cows of the experimental groups was higher compared to the control by 1.7% and 4.1%. At the end of lactation, the content of Selenomonadales was highest in cows of the control group, which is probably due to the presence of a large amount of substrate for their growth.
Obviously, the presence of lactate-producing Lactobacillus species was also associated with the number of Selenomonadales. It should be noted that Selenomonadales, like cellulolytic taxa, are sensitive to the decrease in pH, which may explain their slight decrease in the rumen with the increase in the proportion of Bacteroidetes at the end of the lactation period. There was a direct pattern of changes in the proportion of VFA-fermenting Selenomonadales compared with other microorganisms, particularly compared with the content of representatives of Clostridiaceae. It is known that many representatives of this family have proteolytic properties and participate in the fermentation of oligosaccharides, starch and sugar to form formate, acetate, lactate, propionate, butyrate and other volatile fatty acids, which provide most of the energy for the host [49].
Generally, throughout the course of our research, there was a modulation of the microbial community associated with the increase in the representation of the proportion of bacteria with protein, cellulose and amylolytic properties in the rumen of cows by the end of lactation when feeding with a feed additive. This potentially indicates the increase in the activity of the microbiome in relation to protein, polysaccharides and easily digestible feed components, which influenced the level of dairy productivity of cows in the study which were supplemented with the protein concentrate Agro-Matic. The VFA formed during the fermentation of carbohydrates, in particular, propionic, are used in the body for milk synthesis. The increase in the content of propionate can also stimulate insulin secretion, blood flow to the udder and milk protein synthesis [49,50]. Acetate and butyrate in the rumen are converted by the liver into cholesterol in order to further participate in the synthesis of milk fat [50,51].
In addition, short-chain fatty acids produced by bacteria have a number of other important properties. For example, they are involved in the epigenomic regulation of interactions between the microbiota and the host macroorganism [52,53,54,55,56,57,58]. It is also known that epigenetic modifications are able to regulate gene expression, affecting its intensity and duration, without changes in the main DNA sequence. Moreover, many VFA produced during the decomposition of feed carbohydrates have pronounced antimicrobial properties, contributing to a decrease in the representation of pathogenic microorganisms [59,60,61].
The symbiotic microflora of the rumen perform a detoxification function, regulate the digestibility of nutrients, prevent the invasion of parasites and pathogens and stimulate the development of immunity. The proof of this is that, according to the latest research data by Holman and Gzyl (2019) [62], the microflora and microfauna of the gastrointestinal tract of animals play an important role in the development and maturation of the immune system of cows [63] and can also provide protection of the digestive system from colonization by pathogenic microorganisms. In addition, the slow formation of the microbial community of the rumen occurs due to ecological and biological factors created by the microorganism, for example, the influence of the immune system of cows, which synthesizes immune peptides, glycolyzed animal cells and nutrients supplied to bacteria from the body of the cows.
We noted that the proportion of bacteria with antagonistic properties against pathogens in the rumen of animals increased under the action of protein concentrate Agro-Matic. The patterns of increased concentrations of bacteria that stimulate the development of immunity revealed by us in the initial period of lactation indicate a higher content of Bifidobacterium sp. and Bacillus sp. compared to the group 1 AM. However, at the end of lactation, animals of both groups 1 AM and 2 AM showed the highest values for Bacillus and Bifidobacterium. The saccharolytic properties of Bifidobacterium and its ability to produce acetate and lactate are also known [31,56,57,58,59].
When analyzing the representation of various opportunistic and transit microorganisms, it was found that most of them belonged to bacteria associated with the development of gastroenteritis—the families Enterobacteriaceae and Pseudomonadaceae. Interestingly, in the early period of lactation in the cows, the proportion of these microorganisms significantly decreased compared to the control cows that did not receive the protein concentrate Agro-Matic. In the late period, the proportion of these bacteria, as well as actinomycetes, increased, which may be due to their proteolytic activity [3]. It is known that the increase in opportunistic and pathogenic microflora in the rumen community is directly related to the decrease in the level of productivity and the state of animal health. The state of the rumen microflora directly affects the development of diseases of the liver, internal organs and limbs and mastitis and causes a decrease in reproduction rates, which was confirmed by some studies [64].
Regarding pathogenic microorganisms such as Fusobacteria, which can penetrate the blood and infect the body of cows with the development of liver abscesses and hoof lesions, their level was within the normal values in all the experimental groups of lactating cows receiving the ration with protein concentrate. The lowest content of pathogenic microorganisms, pathogens of mastitis and purulent-necrotic processes (Staphylococcus, Peptococcus and Fusobacterium) during the early lactation period (DIM = 120) was found in the ruminal fluid of animals of both the 1 AM and 2 AM groups that were supplemented with Agro-Matic protein concentrate as part of their diet. The number of pathogenic microorganisms—such as Peptococcus—which cause purulent-necrotic diseases was significantly lower in animals of the 1 AM group, and Fusobacteria causing necrobacteriosis was also significantly lower in the ruminal fluid of the 2 AM group of cows. It may be interpreted that fusobacteria are capable of lactate consumption, and the decrease in their number may be correlated with the decrease in the proportion of lactate-producing Bacteroidetes, Lactobacillus and the increase in the content of other lactate-utilizing bacteria—Selenomonadales. However, at the end of lactation period, the level of Fusobacteria increased and was the highest among the compared groups in the 2 AM group versus the 0 AM group; moreover, there was an increase in pathogenic Clostridium, which may be attributed to the fact that the advantage of protein feeds of animal origin is more associated with the participation of these groups of microorganisms. It is known that fusobacteria are characterized by high proteolytic activity [58], which could be the reason for their increase when the protein supplement was added to the ration.
The representation of pathogenic bacteria such as Staphylococcus, Peptococcus and Campylobacteriaceae in the rumen of cows of both experimental groups at the end of the lactation period was lower compared to the control group. This indicates that the introduction of a protein feed additive had a positive effect on the composition of the rumen microbiota, contributing to a decrease in the representation of pathogenic bacteria. Similar results were obtained in the studies of Holman and Gzyl (2019) [53], which reflects the influence of the microflora of the ruminant rumen on the development and maturation of the immune system of cows, including the protection of the digestive tract from colonization by pathogenic microorganisms.
Thus, the decrease in the abundance of representatives of the genera Campylobacter and Fusobacterium in animals in the experimental group was consistent with a decrease in the number of somatic cells in milk previously reported, since it has been proven [65,66,67,68,69] that these microorganisms are associated with the occurrence of mastitis in cattle. The observed decrease in the number of pathogens such as Campylobacteriaceae, Staphylococcus and Peptococcus indicates the potential impact of Agro-Matic on reducing the presence of these genera, which can reduce the incidence and their spread into the environment.
Generally, molecular genetic studies conducted on lactating cows at the early lactation stage (120 DIM) and at the end of the lactation period show that the state of the rumen microflora affects not only the efficiency of feed digestion but also the immunity, health status, productivity level and the period of productive longevity of animals. In addition, the results obtained were consistent with the studies and works of Jami et al. (2014) [3], who noted that the species composition of the rumen depends on the habitat of cows, the season of the year, the quality of feed, breed and individual characteristics of the development of the animal organism. Thus, our study showed that the composition of the bacterial community of the rumen of the studied cows was represented by a rich variety of microorganisms, the content of which was within normal values. At the same time, there were obvious shifts in the microbiome of the rumen of the cows under the influence of the protein concentrate Agro-Matic associated mainly with energy and protein metabolism.

4.2. Reproductive Ability of Lactating Cows

The efficiency of milk production depends not only on level of milk productivity but also on the health of animals and their reproductive ability. Unbalanced feeding and high milk productivity negatively affect the reproductive function of cows, and the period of infertility contributes to the retirement of highly productive animals and a decrease in the efficiency of milk production [70,71,72].
One of the important indicators characterizing the reproductive function of cows is the days open period. In the lactating cows that received protein concentrate as part of their rations, the calving intervals, days open period and the service/conception decreased in both the 1 AM and 2 AM groups compared with the 0 AM group. Consequently, supplementation of Agro-Matic protein concentrate where CP% = 18.00 and 18.20 in the 1 AM and 2 AM groups had a positive impact on reproduction indicators. Our results are opposite to those obtained by Clark et al. (1985) [70], who found that the conception rate to first service was reduced from 61% to 33% when the dietary protein was increased from 10% to 16%. Additionally, Jordan and Swanson (1979) [30] found that the calving-to-conception interval (days open) elongated when dietary crude protein was increased from 12.7% to 16.3%.
In the study of Schwab (2017) [72], he reported that the ammonia formed from non-protein nitrogen and degradable protein is used for synthesis of bacterial protein: the optimal amount of protein to satisfy the nitrogen needs of the rumen microorganisms in order to achieve maximum fiber digestion and microbial protein synthesis.
Consequently, a properly balanced intake of amino acids from microbial protein and the use of protein supplement made it possible to achieve protection from degradation in the rumen.

4.3. Economic Efficiency of Milk Production

The high level of milk productivity of lactating cows has a significant effect on the profitability of milk production. To a greater extent, the positive effect of high milk productivity is restrained due to the occurrence of additional costs caused by feed production, waste disposal, preventive veterinary measures, zootechnical measures and an increase in labor. The high milk productivity of cows is determined by full-concentrated feeding, genetic potential, live weight, milking technology and the animal welfare system. The inclusion of Agro-Matic protein concentrate in the 1 AM and 2 AM groups contributed to the increase in the profitability of milk production of lactating cows when compared to the control group even though the daily cost of the diet in the experimental groups 1 AM and 2 AM increased when compared with control when protein concentrate was introduced into the ration. A high economic value was recorded for the 1 AM and 2 AM groups in terms of the profitability despite the increased feeding rations cost and total milk production costs. This may be attributed to the increase in gross milk production in the early lactation period (120 DIM) in the 1 AM and 2 AM groups when compared with the control group.

5. Conclusions

Utilization of different levels of Agro-Matic protein concentrate revealed no deviations from the normal standards of cellulolytic, amylolytic, transit and pathogenic bacteria of rumen microbiota, as well as no effect on reproductive ability, while it significantly improved the profitability of the milk production process of Ayrshire dairy cows during the early lactation period (120 DIM).

Author Contributions

N.P.B., D.E.A., M.A.B., A.S.Z., G.Y.L., L.A.I., A.S.P., N.M.K., A.I.E.S., F.M.S. and M.M.F.; conceptualization, data curation, formal analysis, investigation, methodology, validation, visualization, roles and writing—original draft, and writing—review and editing; N.M.K.: writing—review and editing; M.M.F.: formal analysis, roles and writing—original draft, and writing—review and editing. All authors have read and agreed to the published version of the manuscript.

Funding

Fathala, M.M., is funded by a postdoctoral research fellowship under the joint executive program between the Arab Republic of Egypt and the Russian Federation. Aleshin, D.E. and Petrov, A.S. are funded by a postdoctoral research fellowship in Russian State Agrarian University-Moscow Timiryazev Agricultural Academy. The King Faisal University, Saudi Arabia supporting the funding of this article.

Institutional Review Board Statement

The animal study protocol was approved by the Ethics Committee of Russian State Agrarian University-Moscow Timiryazev Agricultural Academy (protocol 2021-4 date 12 October 2021).

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available upon request from the corresponding author.

Acknowledgments

The authors express their gratitude to the employees of Agro-Matic LLC for their active support and interest in our research, as well as for the production and provision of Agro-Matic protein concentrate for research on a free basis. We also express our gratitude to the staff of the APC “Plemzavod Maysky” for their assistance and organization of the experiment on their base, including all the necessary agricultural work and manipulation of animals. The authors express their sincere gratitude to Associate Professor, Candidate of Agricultural Sciences Smirnova Lyudmila Vladimirovna, chief livestock expert of APC “Plemzavod Maysky”, Candidate of Agricultural Sciences Kasatkina Irina Aleksandrovna, chief livestock expert of APC “Plemzavod Maysky”, and Candidate of Agricultural Sciences Serkova Anna Nikolaevna for her valuable advice and support in conducting the experiment, as well as the staff of the Maysky department for their help in collecting samples and providing and processing data on cow reproduction indicators and feed costs. We would also like to express our gratitude to Elena Alexandrovna, Director of BIO-TROF+ Ltd., head of the laboratory and chief biotechnologist Yildirim and the staff of the molecular genetic laboratory of the BIOTROF+ Ltd. research company for their helpful contribution to the analysis of molecular genetic studies of ruminal fluid, for evaluating the ruminal content of microorganisms and for their continuous support and assistance throughout the project. The material presented in this research was prepared with the support of NPO Agro-Matic LLC and the Russian State Agrarian University-Moscow Timiryazev Agricultural Academy.

Conflicts of Interest

The authors declare no conflict of interest.

References and Note

  1. D’Occhio, M.J.; Baruselli, P.S.; Campanile, G. Metabolic health, the metabolome and reproduction in female cattle: A review. Ital. J. Anim. Sci. 2019, 18, 858–867. [Google Scholar] [CrossRef]
  2. Henderson, G.; Cox, F.; Ganesh, S.; Jonker, A.; Wayne, Y.W.; Global Rumen Census Collaborators; Janssen, P.H. Rumen microbial community composition varies with diet and host, but a core microbiome is found across a wide geographical range. Sci. Rep. 2015, 5, 14567. [Google Scholar] [CrossRef] [PubMed]
  3. Jami, E.; White, B.A.; Mizrahi, I. The potential role of the microbiome of cattle rumen in changing the composition of milk and feed efficiency. PLoS ONE 2014, 9, e85423. [Google Scholar] [CrossRef] [PubMed]
  4. Panin, A.N.; Malik, N.I.; Malik, E.V. Immunobiology and Intestinal Microflora; IK “Rodnik”, Agrarian Science: Moscow, Russia, 1998; 48p. [Google Scholar]
  5. Barchiesi-Ferrari, C.; Anrique, R. Ruminal degradability of dry matter and crude protein from moist dehulled lupin and extruded rapeseed meal. Agric. Res. 2011, 71, 430–436. [Google Scholar] [CrossRef]
  6. Kosolapova, V.G.; Buryakov, N.P.; Mokrushina, O.G.; Kosolapov, A.V.; Aleshin, D.E. Scientific and economic justification of application of synbiotic polycomponent fodder additive in feeding high productive cows. IOP Conf. Ser. Earth Environ. Sci. 2021, 901, 012026. [Google Scholar] [CrossRef]
  7. Laptev, G.Y.; Novikova, N.I.; Ilina, L.A.; Yildirim, E.A.; Nagornova, K.V.; Filippova, V.A.; Soldatova, V.V.; Bolshakov, V.N.; Gorfunkel, E.P.; Dubrovina, E.G.; et al. Norms of Microflora Content in the Rumen of Cattle: Methodological Recommendations; Biotrof: St. Petersburg, Russia, 2016; 46p. [Google Scholar]
  8. Ilina, L.A. Microbiome of Farm Animals, Its Relation to Health and Productivity. Ph.D. Thesis, Federal Research Center for Animal Husbandry Named after Academy Member L.K. Ernst, Dubrovitsy, Russia, September 2022. [Google Scholar]
  9. Buryakov, N.P.; Aleshin, D.; Buryakova, M.A.; Zaikina, A.; Nasr, M.; Nassan, M.; Fathala, M. Productive Performance and Blood Biochemical Parameters of Dairy Cows Fed Different Levels of High-Protein Concentrate. Front. Vet. Sci. 2022, 11, 852240. [Google Scholar] [CrossRef] [PubMed]
  10. Lemeshevsky, V.O.; Natynchik, T.M.; Kurepin, A.A. The Activity of Digestive Processes in the Rumen of Bulls with Different Protein Quality; Series of Natural Sciences; Bulletin of the Polessky State University: Pinsk, Belarus, 2016; pp. 28–33. [Google Scholar]
  11. Wang, Y.; Zhang, H.; Zhu, L.; Xu, Y.; Liu, N.; Sun, X.; Hu, L.; Huang, H.; Wei, K.; Zhu, R. Dynamic Distribution of Gut Microbiota in Goats at Different Ages and Health States. Front. Microbiol. 2018, 9, 2509. [Google Scholar] [CrossRef]
  12. Zhong, R.; Sun, H.; Li, G.; Liu, H.; Zhou, D. Effects of inoculation with rumen fluid on nutrient digestibility, growth performance and rumen fermentation of early weaned lambs. Livest. Sci. 2014, 162, 154–158. [Google Scholar] [CrossRef]
  13. Woo, V.; Alenghat, T. Host-microbiota interactions: Epigenomic regulation. Curr. Opin. Immunol. 2017, 44, 52–60. [Google Scholar] [CrossRef]
  14. Grushkin, A.G.; Shevelev, N.S. On morpho-functional features of ruminant rumen microbiota and the role of cellulolytic bacteria in rumen digestion. Agric. Biol. 2008, 2, 12–19. [Google Scholar]
  15. Hamidullin, I.R.; Galiullin, A.K.; Tamimdarov, B.F. Microbiocenosis of the rumen of cattle in different periods of maintenance. Scientific notes of the Kazan GAVM named after N.E. Bauman 2015, 224, 242–244. [Google Scholar]
  16. Laptev, G.Y.; Yildirim, E.A.; Ilyina, L.A. Results of the study of the rumen microbiome in connection with the health and productivity of cattle. In Agrarian Science at the Present Stage: State, Problems, Prospects: Collection of Art; FSBI VolSC RAS: Vologda, Russia, 2020; pp. 165–172. [Google Scholar]
  17. Denton, B.L.; Diese, L.E.; Firkins, J.L.; Hackmann, T.J. Accumulation of reserve carbohydrate by rumen protozoa and bacteria in competition for glucose. Appl. Environ. Microbiol. 2015, 81, 1832–1838. [Google Scholar] [CrossRef] [Green Version]
  18. Gulyaeva, M.E.; Smirnova, L.V. Fodder yeast in the nutrition of lactating cows. Dairy Bull. 2011, 2, 10–12. [Google Scholar]
  19. Buryakov, N.P.; Buryakova, M.A.; Suslova, I.A.; Zaikina, A.S.; Aleshin, D.E.; Stavtcev, A.E. Influence of protein concentrate in the diet on productivity and amino acid composition of cow milk. IOP Conf. Ser. Earth Environ. Sci. 2019, 341, 012057. [Google Scholar] [CrossRef]
  20. Rosenberg, E.; Sharon, G.; Atad, I.; Zilber-Rosenberg, I. The evolution of animals and plants via symbiosis with microorganisms. Environ. Microbiol. Rep. 2010, 2, 500–506. [Google Scholar]
  21. Hanigan, M.; Souza, V.; Martineau, R.; Daley, V.; Kononoff, P. Predicting ruminally undegraded and microbial protein flows from the rumen. J. Dairy Sci. 2021, 104, 8685–8707. [Google Scholar] [CrossRef]
  22. Larsen, M.; Hansen, N.P.; Weisbjerg, M.R.; Lund, P. Technical note: Evaluation of the ororuminal FLORA sampling device for rumen fluid sampling in intact cattle. J. Dairy Sci. 2020, 103, 447–450. [Google Scholar] [CrossRef]
  23. Masucci, F.; Di Francia, A.; Romano, R.; di Serracapriola, M.M.; Lambiase, G.; Varricchio, M.L.; Proto, V. Effect of Lupinus albus as protein supplement on yield, constituents, clotting properties and fatty acid composition in ewes, milk. Small Rumin. Res. 2006, 65, 251–259. [Google Scholar] [CrossRef]
  24. Mysaa, A.; Belal, O. The inclusion of sweet lupin grain (Lupinus angustifolius) improves nursing performance of lactation in Awassi ewes. Small Rumin. Res. 2020, 190, 106150. [Google Scholar]
  25. Jones, R.; Mustafa, A.; Christensen, D.; McKinnon, J. Effects of untreated and heat-treated canola presscake on milk yield and composition of dairy cows. Anim. Feed Sci. Technol. 2001, 89, 97–111. [Google Scholar] [CrossRef]
  26. Lapierre, H.; Martineau, R.; Hanigan, M.D.; van Lingen, H.J.; Kebreab, E.; Spek, J.W.; Ouellet, D.R. Review: Impact of protein and energy supply on the fate of amino acids from absorption to milk protein in dairy cows. Animal 2020, 14, s87–s102. [Google Scholar] [CrossRef] [PubMed]
  27. Aufrère, J.; Graviou, D.; Melcion, J.P.; Demarquilly, C. Degradation in the rumen of lupin (Lupinus albus L.) and pea (Pisum sativum L.) seed proteins. Anim. Feed. Sci. Technol. 2001, 92, 215–236. [Google Scholar] [CrossRef]
  28. Matthews, C.; Crispie, F.; Lewis, E.; Reid, M.; O’Toole, P.W.; Cotter, P.D. The rumen microbiome: A crucial consideration when optimising milk and meat production and nitrogen utilisation efficiency. Gut Microbes 2019, 10, 115–132. [Google Scholar] [CrossRef] [PubMed]
  29. Hackmann, T.J.; Diese, L.E.; Firkins, J.L. Quantifying the responses of mixed rumen microbes to excess carbohydrate. Appl. Environ. Microbiol. 2013, 79, 3786–3795. [Google Scholar] [CrossRef]
  30. Moss, A.R.; Deaville, E.R.; Givens, D. The nutritive value for ruminants of lupin seeds from determinate and dwarf determinate plants. Anim. Feed Sci. Technol. 2001, 94, 187–198. [Google Scholar] [CrossRef]
  31. Denisenko, V.N.; Gromova, O.V.; Abramov, P.N. Non-Infectious Diseases of the Digestive Apparatus of Cattle; Lan: St. Petersburg, Russia, 2020; 84p. [Google Scholar]
  32. Volik, V. Poultry waste–for fodder purposes. Poult. Farming 2008, 4, 22–24. [Google Scholar]
  33. Fedorenko, V.F. Deep Processing of Agricultural Raw Materials; Scientific Edition; Rosinformagrotech: Moscow, Russia, 2017; 159p. [Google Scholar]
  34. Kot, A.N.; Glinkova, A.M.; Lemeshevsky, V.O. Changes in indicators of cicatricial digestion of bulls at different levels of protein cleavage. Sci. Notes VGAVM 2015, 45, 62–66. [Google Scholar]
  35. Kovalevskaya, Y.Y.; Radchikov, V.F.; Gurin, V.K.; Tsai, V.P. Indicators of cicatricial digestion and digestibility of nutrients by bulls when feeding diets with different protein cleavage. Sci. Notes Educ. Inst. Vitebsk. GAVM 2011, 47, 385–388. [Google Scholar]
  36. Recommendations on Detailed Feeding of Dairy Cattle: A Reference Manual; L.K. Ernst Federal Research Center for Animal Husbandry: Moscow, Russia, 2016; p. 217.
  37. State Standard 32195-2013 (ISO 13903: 2005); Feeds, Compound Feeds. Method for Determination of Amino Acids. Available online: https://www.iso.org/obp/ui/#iso:std:iso:13903:ed-1:v1:en (accessed on 27 September 2022).
  38. State Standard 32343-2013; Feeds, Compound Feeds. Determination of the Contents of Calcium, Copper, Iron, Magnesium, Manganese, Potassium, Sodium and Zinc by Atomic Absorption Spectrometry Method. Available online: https://docs.cntd.ru/document/1200110077 (accessed on 27 September 2022).
  39. State Standard 26573.2-2014; Premixes. Methods for Determination of Manganese, Copper, Iron, Zinc, Cobalt. Available online: https://docs.cntd.ru/document/1200113423 (accessed on 27 September 2022).
  40. Geishauser, T.; Linhart, N.; Neidl, A.; Reimann, A. Factors associated with ruminal pH at herd level. J. Dairy Sci. 2012, 95, 4556–4567. [Google Scholar] [CrossRef]
  41. Logue, J.B.; Bürgmann, H.; Robinson, C.T. Progress in the Ecological Genetics and Biodiversity of Freshwater Bacteria. BioScience 2008, 58, 103–113. [Google Scholar] [CrossRef]
  42. Fadrosh, D.W.; Ma, B.; Gajer, P.; Sengamalay, N.; Ott, S.; Brotman, R.M.; Ravel, J. An improved dual-indexing approach for multiplexed 16S rRNA gene sequencing on the Illumina MiSeq platform. Microbiome 2014, 2, 6. [Google Scholar] [CrossRef]
  43. Kutikov, S.I.; Ambrosov, V.Y. Methodology for Determining the Efficiency of Milk Production with a Different Ratio of Feed Used. Methods of Research in Animal Husbandry. Abstracts of the Scientific Conference of the Research Institute of Animal Husbandry of the Forest-Steppe and Polesie of Ukraine. 1966; pp. 72–78. [Google Scholar]
  44. Antonova, V.S.; Topuria, G.M.; Kosilov, V.I. Methodology of Scientific Research in Animal Husbandry; Orenburg State University: Orenburg, Russia, 2011; 246p. [Google Scholar]
  45. IBM Corp. Released (2017): IBM SPSS Statistics for Windows, Version 25.0; IBM Corp: Armonk, NY, USA, 2017. [Google Scholar]
  46. Duncan, D.B. Multiple range and multiple F tests. Biometrics 1955, 11, 1–42. [Google Scholar] [CrossRef]
  47. Bogolyubova, N.V.; Romanov, V.N.; Bagirov, V.A. Metabolic profile of cows during nutrition correction at the end of the dry period and the beginning of lactation. Russ. Agric. Sci. 2021, 47, 155–160. [Google Scholar] [CrossRef]
  48. Belanche, A.; Kingston-Smith, A.H.; Griffith, G.W.; Newbold, C.J. A multi-kingdom study reveals the plasticity of the rumen microbiota in response to a shift from non-grazing to grazing diets in sheep. Front. Microbiol. 2019, 10, 122–139. [Google Scholar] [CrossRef]
  49. Kasatkina, I.A. Dairy productivity and qualitative indicators of cow’s milk when using energy additives. In Agrarian Science at the Present Stage: State, Problems, Prospects: Collection of Articles; FSBI VolSC RAS: Vologda, Russia, 2020; pp. 146–153. [Google Scholar]
  50. Buryakov, N.P.; Laptev, G.Y.; Ilina, L.A.; Aleshin, D.E. Effect of use of protected protein source supplementation on the microorganisms of rumen and biochemical status lactating cows. Int. Trans. J. Eng. Manag. Appl. Sci. Technol. 2020, 11, 11A14A. [Google Scholar]
  51. Mendoza, A.; Wijma, R.; Piñeyrúa, J.T.M.; Cavestany, D. Carbohydrate source offered in the prepartum diet did not affect postpartum metabolic status or milk yield in dairy cows. Animal 2019, 13, 2289–2296. [Google Scholar] [CrossRef]
  52. Dillon, P.; Crosse, S.; O’Brien, B.; Mayes, R.W. The effect of forage type and level of concentrate supplementation on the performance of spring-calving dairy cows in early lactation. Grass Forage Sci. 2002, 57, 212–223. [Google Scholar] [CrossRef]
  53. Koike, S.; Yoshitani, S.; Kobayashi, Y.; Tanaka, K. Phylogenetic analysis of fiber-associated rumen bacterial community and PCR detection of uncultured bacteria. FEMS Microbiol. Lett. 2003, 229, 23–30. [Google Scholar] [CrossRef]
  54. Osborne, J.M.; Dehority, B.A. Synergism in degradation and utilization of intact forage cellulose, hemicellulose, and pectin by three pure cultures of ruminal bacteria. Appl. Environ. Microbiol. 1989, 55, 2247–2250. [Google Scholar] [CrossRef] [Green Version]
  55. Thomas, F.; Hehemann, J.-H.; Rebuffet, E.; Czjzek, M.; Michel, G. Environmental and gut Bacteroidetes: The food connection. Front. Microbiol. 2011, 2, 93. [Google Scholar] [CrossRef]
  56. Russell, J.B.; Sharp, W.M.; Baldwin, R.L. The effect of pH on maximum bacterial growth rate and its possible role as a determinant of bacterial competition in the rumen. J. Anim. Sci. 1979, 48, 251–255. [Google Scholar] [CrossRef]
  57. Wang, X.; Li, X.; Zhao, C.; Hu, P.; Chen, H.; Liu, Z.; Liu, G.; Wang, Z. Correlation between composition of the bacterial community and concentration of volatile fatty acids in the rumen during the transition period and ketosis in dairy cows. Appl. Environ. Microbiol. 2012, 78, 2386–2392. [Google Scholar] [CrossRef]
  58. Chinda, D.; Nakaji, S.; Fukuda, S.; Sakamoto, J.; Shimoyama, T.; Nakamura, T.; Fujisawa, T.; Terada, A.; Sugawara, K. The fermentation of different dietary fibers is associated with fecal clostridia levels in men. J. Nutr. 2004, 134, 1881–1886. [Google Scholar] [CrossRef]
  59. Liu, Q.; Wang, C.; Guo, G.; Huo, W.J.; Zhang, S.L.; Pei, C.X.; Wang, H. Effects of branched-chain volatile fatty acids on lactation performance and mRNA expression of genes related to fatty acid synthesis in mammary gland of dairy cows. Animal 2018, 12, 2071–2079. [Google Scholar] [CrossRef]
  60. Brown, A.J.; Goldsworthy, S.M.; Barnes, A.A.; Eilert, M.M.; Tcheang, L.; Daniels, D.; Muir, A.I.; Wigglesworth, M.J.; Kinghorn, I.; Fraser, N.J.; et al. The orphan G protein-coupled receptors GPR41 and GPR43 are activated by propionate and other short chain carboxylic acids. J. Biol. Chem. 2003, 278, 11312–11319. [Google Scholar] [CrossRef]
  61. Wang, X.; Martin, G.B.; Wen, Q.; Liu, S.; Zhang, J.; Yu, Y.; Shi, B.; Guo, X.; Zhao, Y.; Yan, S. Linseed oil and heated linseed grain supplements have different effects on rumen bacterial community structures and fatty acid profiles in cashmere kids1. J. Anim. Sci. 2019, 97, 2099–2113. [Google Scholar] [CrossRef]
  62. Holman, D.B.; Gzyl, K.E. A meta-analysis of the bovine gastrointestinal tract microbiota. FEMS Microbiol. Ecol. 2019, 95, fiz072. [Google Scholar] [CrossRef]
  63. Celi, P.; Verlhac, V.; Pérez-Calvo, E.; Schmeisser, J.; Kluenter, A. Biomarkers of gastrointestinal functionality in animal nutrition and health. Anim. Feed. Sci. Technol. 2019, 250, 9–31. [Google Scholar] [CrossRef]
  64. Kung, L.J.; Hession, A.O. Preventing in vitro lactate accumulation in ruminal fermentations by inoculation with Megasphaera elsdenii. J. Anim. Sci. 1995, 73, 250–256. [Google Scholar] [CrossRef]
  65. Biavati, B.; Mattarelli, P. Bifidobacterium. In Bergey’s Manual of Systematics of Archaea and Bacteria; John Wiley & Sons: Hoboken, NJ, USA, 2015; pp. 1–57. [Google Scholar] [CrossRef]
  66. Nagaraja, T.G. Ruminal microbes, microbial products, and systemic inflammation. J. Anim. Sci. 2016, 94 (Suppl. S5), S90–S94. [Google Scholar] [CrossRef]
  67. Takahashi, N. Acid-neutralizing activity during amino acid fermentation by Porphyromonas gingivalis, Prevotella intermedia and Fusobacterium nucleatum. Oral Microbiol. Immunol. 2003, 18, 109–113. [Google Scholar] [CrossRef] [PubMed]
  68. McGillivery, D.J.; Nicholls, T.J.; Hatch, P.H. Isolation of Fusobacterium necrophorum from a case of bovine mastitis. Aust. Vet. J. 1984, 61, 325. [Google Scholar] [CrossRef] [PubMed]
  69. Neil, S.D.; Mackie, D.P.; Logan, E.F. Campylobacter mastitis in dairy cows. Vet. Rec. 1982, 110, 505–506. [Google Scholar] [CrossRef] [PubMed]
  70. Clark, R.; Orr, W.N.; Davison, T.M. Influence of level of nitrogen fertilizer and protein supplementation on reproductive performance. In Proceedings of the Australian and New Zealand Society of Animal Production, Albury-Wodonga, Australia, 25–28 March 1985. [Google Scholar]
  71. Jordan, E.R.; Swanson, L.V. Effect of crude protein on reproductive efficiency, serum total protein and albumin in the high-producing dairy cow. J. Dairy Sci. 1979, 62, 58–63. [Google Scholar] [CrossRef]
  72. Schwab, C.G.; Broderick, G.A. A 100-Year Review: Protein and amino acid nutrition in dairy cows. J. Dairy Sci. 2017, 100, 10094–10112. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Effect of Agro-Matic supplementation on the rumen pathogenic microflora (Fusobacterium sp.).
Figure 1. Effect of Agro-Matic supplementation on the rumen pathogenic microflora (Fusobacterium sp.).
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Figure 2. Effect of Agro-Matic supplementation on the rumen pathogenic microflora (Peptococcus sp.).
Figure 2. Effect of Agro-Matic supplementation on the rumen pathogenic microflora (Peptococcus sp.).
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Figure 3. Effect of Agro-Matic supplementation on the rumen undesirable microflora (Lactobacillus sp.).
Figure 3. Effect of Agro-Matic supplementation on the rumen undesirable microflora (Lactobacillus sp.).
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Figure 4. Effect of Agro-Matic supplementation on the rumen undesirable microflora (Actinobacteria).
Figure 4. Effect of Agro-Matic supplementation on the rumen undesirable microflora (Actinobacteria).
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Table 1. Composition and nutritional value of the basic ration fed to the dairy cows during the experimental period.
Table 1. Composition and nutritional value of the basic ration fed to the dairy cows during the experimental period.
Ingredients Experimental Groups
0 AM1 AM2 AM
Mixed grass hay (kg)0.50.50.5
Corn silage (kg)777
Mixed grass haylage from cereals (kg)777
Barley grain haylage (kg)121212
Beet molasses (kg)1.51.51.5
Beet pulp (dry) (kg)1.51.51.5
Soybean cake (kg)1.01.01.0
Sunflower cake (36% CP) (kg)1.50.5-
Agro-Matic protein concentrate (kg)-1.01.5
Concentrated feed compound (kg)1110.510.5
By pass oil (kg)0.30.30.3
Monocalcium phosphate (g)130130130
Sodium chloride (g)120120120
Nutritional value of the rations of cows during the experimental period
Metabolizable energy, MJ279.0275.5276.6
Dry matter (g)23 80023 40023 800
Crude protein (g)4074.34213.94325.1
Crude protein (%)17.1018.0018.20
Digestible protein3000.23163.73274.9
Degradable protein2880.52725.42674.6
Undegradable protein1202.11500.01662.1
Crude fiber4001.43790.853699.35
Crude fat935.8907.3902.9
Neutral detergent fiber (NDF)8698.38216.48281.6
Acid detergent fiber (ADF)4531.24375.24313.2
Starch5420.45240.65236.4
Sugar1665.71638.91630.8
Calcium164.2175.7183.0
Phosphorus126.0125.3126.1
Magnesium54.052.952.8
Potassium265.2252.6247.7
The rations formulation of cows during dry and lactation periods constructed according to the All-Russia Institute of Animal Husbandry, 2016 [36].
Table 2. Nutritional value of protein concentrate Agro-Matic/1 kg.
Table 2. Nutritional value of protein concentrate Agro-Matic/1 kg.
IndicatorsContents (g)
Metabolic energy, MJ13.0
Dry matter content932.0
Nutritional value per 1 kg of dry matter
Crude protein582.5
Degradable protein186.4
Undegradable protein396.1
Digestible protein502.4
Crude fiber27.0
Acid detergent fiber (ADF)23.3
Neutral detergent fiber (NDF)130.5
Starch10.0
Sugar30.0
Crude fat106.3
Table 3. The amino acid composition of the Agro-Matic protein concentrate.
Table 3. The amino acid composition of the Agro-Matic protein concentrate.
Amino Acids Amount (g/100 g)
Methionine0.59
Cystine0.42
Lysine2.08
Threonine1.38
Arginine4.12
Isoleucine1.26
Leucine2.40
Valine1.84
Histidine0.67
Phenylalanine1.46
Glycine7.20
Serin1.99
Proline4.92
Alanine4.08
Tryptophan0.23
Aspartic acid3.61
Glutamic acid6.45
Table 4. The content of macro and micro elements in Agro-Matic protein concentrate.
Table 4. The content of macro and micro elements in Agro-Matic protein concentrate.
IndicatorsAmountIndicatorsAmount
Macro Elements (g/kg)Micro Elements (mg/kg)
Sodium6.0Iron799
Calcium34.0Copper4.8
Phosphorus10.3Zinc33
Potassium3.7Cobalt0.3
Magnesium1.2Manganese121
Sulfur11.6Molybdenum0.9
Iodine3.38
Selenium1.0
Table 5. Primers for amplification of rumen microorganisms.
Table 5. Primers for amplification of rumen microorganisms.
N.GeneTargetName of the PrimerPrimer Sequence
116SBacteria63f/1087r5′AGGCCTAACACATGCAAGTC-3′ (Cy5)
5′-CTCGTTGCGGGACTTACCCC-3′
Table 6. Percentages of rumen microbiota of Ayrshire dairy cows during the early lactation period (DIM = 120).
Table 6. Percentages of rumen microbiota of Ayrshire dairy cows during the early lactation period (DIM = 120).
Group of MicroorganismsExperimental Groups
0 AM1 AM2 AMSEM
Cellulolytic bacteria
Lachnospiraceae11.4310.957.631.46
Ruminococcaceae6.227.974.841.11
Eubacteriaceae11.154.665.572.75
Clostridiaceae6.118.618.280.78
Thermoanaerobacteriaceae1.001.250.490.18
Amylolytic bacteria
Bacteroidetes8.436.885.510.91
Succinivibrio sp.0.100.830.120.21
The sum of cellulolytic and amylolytic bacteria44.4441.1432.443.51
Antagonistic bacteria
Selenomonadales12.4214.0816.471.89
Bacillus sp.8.2613.8910.651.17
Bifidobacterium sp.0.410.460.410.04
Undesirable bacteria
Lactobacillus sp.0.840.260.160.22
Enterobacteriaceae9.721.625.231.75
Actinobacteria9.127.167.240.85
Transit bacteria
Pseudomonadaceae0.036.903.641.47
Unidentified bacteria
Unidentified bacteria8.939.2921.254.88
Pathogenic bacteria
Staphylococcus sp.1.151.511.130.30
Campylobacteriaceae0.420.220.00 (UD)0.10
Clostridium botulinum1.101.551.160.30
0 AM = no Agro-Matic. 1 AM = 1.0 kg Agro-Matic/head/day. 2 AM = 1.5 kg Agro-Matic/head/day. Values are expressed as means. SEM = standard errors of the mean (the total SE of the three groups); (UD) = undetected; Min = minimum; max. = maximum.
Table 7. Percentages of rumen microbiota of Ayrshire dairy cows at the end of lactation period (DIM = 305 ds).
Table 7. Percentages of rumen microbiota of Ayrshire dairy cows at the end of lactation period (DIM = 305 ds).
Group of Microorganisms Experimental Groups
0 AM1 AM2 AMSEM
Normal (Bacteria) Microflora
Cellulolytic bacteria
Lachnospiraceae23.4322.6024.223.10
Ruminococcaceae8.785.789.001.72
Eubacteriaceae7.366.467.580.83
Clostridiaceae5.887.263.890.77
Thermoanaerobacteriaceae4.4711.647.201.63
Amylolytic bacteria
Bacteroidetes6.789.328.721.39
Succinivibrio sp.0.100.140.000.05
The sum of cellulolytic and amylolytic bacteria56.8063.2060.751.88
Antagonistic bacteria
Selenomonadales9.587.884.741.17
Bacillus sp.6.966.707.910.81
Bifidobacterium sp.0.140.660.170.15
Undesirable bacteria
Enterobacteriaceae1.344.243.790.67
Transit bacteria
Pseudomonadaceae0.900.680.500.23
Unidentified bacteria
Unidentified bacteria17.9611.8311.021.79
Pathogenic bacteria
Staphylococcus sp.0.310.030.160.09
Fusobacterium sp.0.240.191.000.24
Peptococcus sp.0.650.110.030.23
Campylobacteriaceae0.850.610.620.21
Clostridium botulinum0.000.050.020.02
0 AM = no Agro-Matic. 1 AM = 1 kg Agro-Matic/head/day. 2 AM = 1.5 kg Agro-Matic/head/day. Values are expressed as means. SEM = standard errors of the mean.
Table 8. Reproductive parameters of Ayrshire lactating cows fed Agro-Matic protein concentrate at different levels.
Table 8. Reproductive parameters of Ayrshire lactating cows fed Agro-Matic protein concentrate at different levels.
IndicatorsExperimental Groups
0 AM1 AM2 AMSEM
Calving interval (days)407.05383.00377.798.94
Days open period (days)123.12107.3398.508.25
Service/conception (S/C)3.002.602.000.22
0 AM = no Agro-Matic. 1 AM = 1 kg Agro-Matic/head/day. 2 AM = 1.5 kg Agro-Matic /head/day. Values are expressed as means. SEM = standard errors of the mean (the total SE of the three groups).
Table 9. The economic value of inclusion of Agro-Matic protein concentrate when feeding Ayrshire dairy cows during the early lactation period (head/USD).
Table 9. The economic value of inclusion of Agro-Matic protein concentrate when feeding Ayrshire dairy cows during the early lactation period (head/USD).
IndicatorsExperimental Groups
0 AM1 AM2 AMSEM
The cost of a daily ration6.116.346.310.06
protein concentrate (1 kg)32.0048.00
Feed costs for the period of experiment733.73 b761.37 a757.98 a4.80
Feed costs per 1 kg of milk0.190.180.170.23
Total milk production costs1337.71 b1380.23 a1396.73 a10.09
Consumption of concentrates per 1 kg of milk, g7.637.056.780.21
Production costs of 1 kg of milk of energy feed units0.0130.0120.0110.001
Milk yield *, kg/day32.634.535.80.91
Gross milk yield *, kg (120 DIM)3912.00 b4140.00 ab4296.00 a73.37
The selling price of 1 kg of milk0.410.410.41
Cash obtained from the sale of milk1623.601713.251782.9733.20
Profit from the sale of milk 285.90 c333.02 b386.24 a15.62
The profitability, % 21.4 b24.1 ab27.7 a1.01
of milk production, %+2.76+6.28
* Productivity of cows is represented by milk of natural fat content. 0 AM = no Agro-Matic. 1 AM = 1 kg Agro-Matic/head/day. 2 AM = 1.5 kg Agro-Matic/head/day. Values are expressed as means. SEM = standard errors of the mean (The total SE of the three groups). Means denoted within the same row with different superscripts are significant (p < 0.05).
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Buryakov, N.P.; Aleshin, D.E.; Buryakova, M.A.; Zaikina, A.S.; Laptev, G.Y.; Ilina, L.A.; Petrov, A.S.; Kostomakhin, N.M.; Sheikh, A.I.E.; Sahwan, F.M.; et al. Influence of Using Various Levels of Protein Concentrate in Rations of Ayrshire Dairy Cows on Rumen Microbiome, Reproductive Traits and Economic Efficiency. Vet. Sci. 2022, 9, 534. https://doi.org/10.3390/vetsci9100534

AMA Style

Buryakov NP, Aleshin DE, Buryakova MA, Zaikina AS, Laptev GY, Ilina LA, Petrov AS, Kostomakhin NM, Sheikh AIE, Sahwan FM, et al. Influence of Using Various Levels of Protein Concentrate in Rations of Ayrshire Dairy Cows on Rumen Microbiome, Reproductive Traits and Economic Efficiency. Veterinary Sciences. 2022; 9(10):534. https://doi.org/10.3390/vetsci9100534

Chicago/Turabian Style

Buryakov, Nikolai P., Dmitrii E. Aleshin, Maria A. Buryakova, Anastasya S. Zaikina, Georgy Y. Laptev, Larisa A. Ilina, Aleksandr S. Petrov, Nikolay M. Kostomakhin, Ahmed I. El Sheikh, Ferial M. Sahwan, and et al. 2022. "Influence of Using Various Levels of Protein Concentrate in Rations of Ayrshire Dairy Cows on Rumen Microbiome, Reproductive Traits and Economic Efficiency" Veterinary Sciences 9, no. 10: 534. https://doi.org/10.3390/vetsci9100534

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