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Rumen function in goats, an example of adaptive capacity

Published online by Cambridge University Press:  17 February 2020

Sylvie Giger-Reverdin*
Affiliation:
Université Paris-Saclay, INRAE, AgroParisTech, UMR Modélisation Systémique Appliquée aux Ruminants, 75005, Paris, France
Céline Domange
Affiliation:
Université Paris-Saclay, INRAE, AgroParisTech, UMR Modélisation Systémique Appliquée aux Ruminants, 75005, Paris, France
Laurent P. Broudiscou
Affiliation:
Université Paris-Saclay, INRAE, AgroParisTech, UMR Modélisation Systémique Appliquée aux Ruminants, 75005, Paris, France
Daniel Sauvant
Affiliation:
Université Paris-Saclay, INRAE, AgroParisTech, UMR Modélisation Systémique Appliquée aux Ruminants, 75005, Paris, France
Valérie Berthelot
Affiliation:
Université Paris-Saclay, INRAE, AgroParisTech, UMR Modélisation Systémique Appliquée aux Ruminants, 75005, Paris, France
*
Author for correspondence: Sylvie Giger-Reverdin, Email: [email protected]
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Abstract

The aim of this Research Reflection is to describe the basic rumen function of goats and its modification in response to environmental factors, as well as to discuss similarities and differences when compared to other ruminants. In so doing we shall reveal the adaptive capacity of goats to harsh environments. The basic rumen function in goats is similar to other species of ruminants, as stressed by the opportunity to apply the updates of feeding systems for ruminants to goats. The rumen epithelium acts as a protective barrier between the rumen and the host, but it can be damaged by toxic compounds or acidosis. The rumen also plays an important role in water balance, both for dehydration and rehydration. Recent studies show that the microbiota exhibits a high fractional stability due to functional redundancy and resilience, but this needs more investigation. The microbial community structure differs between goats and cows, which explains the difference in sensitivity to milk fat depression following intake of high lipid diets. Goats also differ from other ruminants by their enhanced ability to feed-sort, but as with cows they can suffer from acidosis. Nevertheless, goats can be considered to be very resistant to environmental factors such as water stress, salt stress or heat stress, and this is especially so in some endogenous breeds. They also are able to detoxify tannins, polyphenols and other secondary metabolites. Some new trials involving feeding behaviour, microbiota and omics or approaches by meta-analyses or modelling will improve our knowledge of rumen function in goats.

Type
Research Reflection
Copyright
Copyright © Hannah Dairy Research Foundation 2020

Introduction

Ruminants have developed a specific multiple-stomach system to use the biomass they select with browsing or grazing. Among them, goats are known to better survive harsh conditions than other ruminants (Silanikove, Reference Silanikove1994), but also to take profit of highly nutritive diets. These specificities might be linked to the rumen, a complex organ where microbial fermentation has a major impact on the efficiency of feed utilisation. The aim of this short review is to describe the basic rumen function of goats and the modifications due to environmental factors in order to discuss if it differs from other ruminants or if goats are a good model for all species of ruminants in different environments.

Basic rumen function

Degradation of dietary constituents and ruminal metabolism

Goats are similar to other ruminants for the basic rumen function: biomass consumed by the animals is partly fermented in the rumen by the microbes and converted to microbial matter, volatile fatty acids (VFA), fermentation gases (methane and carbon dioxide) and ammonia, all together with the production of heat. The transit fractional rate responses to feeding level and proportion of concentrate are generally similar for cattle and small ruminants (Sauvant et al., Reference Sauvant, Assoumaya, Giger-Reverdin and Archimède2006). On the other hand, there are no publications where the efficiency of microbial growth in the rumen of goat has been compared, for the same diet, to that of other ruminants. Nevertheless, the global similarity between goat and cows has been used in the Feeding System for ruminants, like the recently updated INRA feeding system for ruminants (INRA, 2018), even if goats present some specific digestive features. The new concept of rumen protein balance (RPB) that represents the difference between crude protein (CP) intake and non-ammonia CP flowing out at the duodenum (i.e. undegraded feed CP + microbial CP + endogenous CP) can be applied to goats as to other ruminants (Giger-Reverdin and Sauvant, Reference Giger-Reverdin and Sauvant2014). RPB is highly correlated with the ammonia level in the rumen, and then to the urinary N losses with no difference between goats and cattle (Sauvant et al., Reference Sauvant, Faverdin, Peyraud and Nozière2018b). However, in contrast to cattle, there is no negative digestive interaction due to concentrate supply in goats (Sauvant et al., Reference Sauvant, Chapoutot, Ortigues-Marty and Nozière2018a). This is consistent with the fact that, for similar mixed diets, the rumen pH of goat is higher by about 0.4 point compared to cattle (Sauvant et al., Reference Sauvant, Giger Reverdin and Peyraud2018c). For poor diets, despite the old results of Devendra (Reference Devendra1978), the debate is still running regarding differences in digestive efficiency between goats and other ruminants, but the digestibility seems to be similar with good diets (Sales et al., Reference Sales, Jancik and Homolka2012).

Role of the ruminal epithelium

The ruminal epithelium acts as a barrier between the rumen and the host. It has two main functions: absorption of nutrients and protection against toxic products, as has been extensively reviewed recently (Baldwin and Connor, Reference Baldwin and Connor2017). The rumen barrier function can be impaired when the animals suffer from an important drop of rumen pH (acidosis) as has been observed over many years in goats used as a model of ruminants (Das and Misra, Reference Das and Misra1992). Rumen epithelial tight junctions might be damaged with disruption of ruminal epithelial associated with a local inflammatory response (Liu et al., Reference Liu, Xu, Liu, Zhu and Mao2013), electrophysiological properties are also modified with changes in net ion transfer and the ruminal epithelial permeability increases (Klevenhusen et al., Reference Klevenhusen, Hollmann, Podstatzky-Lichtenstein, Krametter-Frotscher, Aschenbach and Zebeli2013).

Water storage and resistance to dehydration

The rumen plays an important role in water balance both at times of dehydration and rehydration, because it acts as a water reservoir containing a large volume of water (Jaber et al., Reference Jaber, Chedid, Hamadeh and Akıncı2013). Some breeds that are well-adapted to harsh conditions such as the Black Bedouin goat might face a four day water deprivation with a loss of 40% body-weight. Since a large portion (50–70%) of the water lost during dehydration comes from the rumen, the animal is able to maintain a normal water balance in blood and body tissues to ensure a body water level compatible with life (Silanikove, Reference Silanikove1994). During rapid rehydration, the rumen may store water for some hours to prevent haemolysis and osmotic shock to tissues. For example, Black Bedouin goats are able to drink water equivalent to 20–40% of their body mass in one episode every four days in the Sinai desert (Middle East), which is an extremely valuable trait in arid regions with few available feeds (Silanikove, Reference Silanikove1994). There is a large difference in the capacity to cope with both dehydration and rehydration between animal species or breeds within species, such that European breeds like the Saanen goat are more sensitive than breeds indigenous to arid lands like Bedouin goats (Silanikove, Reference Silanikove1994).

Microbiota

As in all ruminants, Bacteroidetes and Firmicutes are the dominant phyla in goats with low abundance of Fibrobacteres. The microbiota is usually dominated by Prevotella followed by Butyrivibrio and Ruminococcus, as well as unclassified Lachnospiraceae, Ruminococcaceae, Bacteroidales, and Clostridiales. Diversity within the archaea is much lower than for bacteria, with only a few methanogenic groups dominating the rumen microbiota (Methanosphaera, Methanobacteriaceae and/or Methanobrevibacter). The genera Entodinium and Epidinium are dominant for the protozoa. Even though the main micro-organisms are widespread in ruminants, the communities of the microbiota can be different according to the host species. For example, whatever the diets, goats have a higher relative abundance of unclassified Veillonellaceae and a lower relative abundance of Fibrobacter (Henderson et al., Reference Henderson, Cox, Ganesh, Jonker, Young and Janssen2015). Usually, diets fed to the ruminant are the major determinant of the bacteria structure (Henderson et al., Reference Henderson, Cox, Ganesh, Jonker, Young and Janssen2015). Even though diets affect the rumen microbiota structure, the microbiota usually exhibits a high functional stability due to functional redundancy and resilience. Nevertheless, diets rich in concentrate or supplemented with lipids can affect both the structure and function of the microbiota. In line with cows, high grain diets reshape the rumen microbial community by reducing its richness and diversity and changing the microbial composition in goats. Zhang et al. (Reference Zhang, Liu, Yin, Jin, Mao and Liu2019) showed that 30 taxa were affected by the diet, there being 5 enriched taxa (Selenomonas 1, Ruminococcus and unclassified Veillonellaceae) in the high grain diet group and 25 enriched taxa in the hay diet group (Butyrivibrio, Pseudobutyrivibrio, Fibrobacter and several unclassified taxa such as unclassified Christensenellaceae, Ruminococcaceae and Ruminococcaceae) at the genera level. These changes in the composition of the microbiota were associated with modifications in the rumen metabolome with enhanced capacity to influence amino acid and nucleotide metabolisms. The linkages between rumen bacteria and metabolites are extremely complex (Zhang et al., Reference Zhang, Liu, Yin, Jin, Mao and Liu2019).

The composition of the rumen microbiota is also altered by the dietary crude protein (CP) content. Min et al. (Reference Min, Gurung, Shange and Solaiman2019) observed that the proportions of proteolytic bacterial species tended to be higher in goats grazing sunn hemp (Crotalaria juncea, 17% CP) compared to bermudagrass (Cynodon dactylon, 10% CP). Similarly, the Prevotella and Selenomonas genera proportions were increased in cows fed alfalfa rather than a cornstalk-based diet (Zhang et al., Reference Zhang, Zhu, Zhu, Liu and Mao2014).

Each adult animal harbours its own microbiota even when animals are bred and fed identically, suggesting that the host also has a significant impact on the composition of its microbiota. In dairy cows, Weimer et al. (Reference Weimer, Cox, Vieira de Paula, Lin, Hall and Suen2017) showed that the ruminal bacteria communities moved toward re-establishment of the pre-exchange communities within days to weeks at a similar diet, suggesting a high specificity and resilience of the rumen microbiota within its host. The animal might exert some influence over its rumen microbiota through its intake behaviour or its digesta passage rates such as the fractional turn-over rate of the solid particles. Because of the specificity of goats regarding their intake behaviour (intermediate feeder vs. grazer for cow) and their potential higher rumen turn-over rates compared to cows (Clauss et al., Reference Clauss, Hummel and Streich2006), specific studies in goats are needed. The influence of the host on ruminal functions is poorly documented except on the methanogenesis function. A better understanding of the microbial composition, the functional role of microbes in fermentation and how the host controls its own microbiota is essential to be able to manipulate the rumen microbiota.

Lipid metabolism and biohydrogenation

Dietary fatty acids (FA) in forage, cereals and oilseed are mainly C18-carbon polyunsaturated fatty acid (PUFA) especially linoleic (C18:2 9c,12c) and alpha linoleic (C18:3 9c,12c,15c) acids. Dietary unsaturated lipids undergo bacterial lipolysis and extensive biohydrogenation of released FA in the rumen resulting in the formation of saturated FA, and of a variety of positional or geometric (cis, trans) isomers of unsaturated FA (Lourenço et al., Reference Lourenço, Ramos-Morales and Wallace2010). Butyrivibrio-related bacteria isolated in the rumen were thought to be the main active population carrying out the biohydrogenation process. However, with the development of culture-independent high-throughput next-generation sequencing techniques, it was shown that uncultivated microbial species including Prevotella, Lachnospiraceaeincertae sedis, and unclassified Bacteroidales, Clostridiales and Ruminococcaceae might also be involved (Huws et al., Reference Huws, Kim, Lee, Scott, Tweed, Pinloche, Wallace and Scollan2011). Knowledge is still limited on the microbial ecology of FA metabolism, especially in goats. The apparent biohydrogenation values of linoleic and linolenic acids ranged between 85 and 95% depending upon rumen conditions such as pH and microbial populations. Low ruminal pH observed with increasing amounts of concentrates can result in incomplete biohydrogenation leading to increased production of trans FA (Lourenço et al., Reference Lourenço, Ramos-Morales and Wallace2010). A shift in the biohydrogenation pathways, from the 11t to the 10t pathways can also be observed with production of rumen biohydrogenation intermediates (C18:2 10t-12c; C18:1 10t…) with supposed antilipogenic effects on the mammary gland, inducing milk fat depression (MFD). However, interspecies differences in the rumen biohydrogenation process were poorly investigated except through indirect comparison of milk FA profiles. In line with interspecies differences in microbial population and composition (Henderson et al., Reference Henderson, Cox, Ganesh, Jonker, Young and Janssen2015) and in rumen enzymes activities and DM degradation (Moon et al., Reference Moon, Ok, Lee, Ha and Lee2010), it could not be ruled out that there might be differences in the biohydrogenation process between cows and goats. In a direct comparison of the ruminal lipid metabolism in dairy cows and goats, Toral et al. (Reference Toral, Bernard, Belenguer, Rouel, Hervas, Chilliard and Frutos2016) suggest that Ruminococcaceae may be linked to the saturation of C18:1 in the rumen of cows and Pseudobutyrivibrio in goats. Moreover, microorganisms are able to synthesise their own FA from carbohydrates or amino acids contributing up to 60% of the total FA outflows from the rumen leading to FA duodenal flows higher than FA intake in cows fed low fat diets (Schmidely et al., Reference Schmidely, Glasser, Doreau and Sauvant2008). They also synthesise specific FA such as odd FA and methyl branched-chain FA (BCFA) of the iso and anteiso forms. As variation in the odd FA and BCFA profile leaving the rumen was expected to reflect changes in the relative abundance of specific bacterial populations in the rumen, these FA were thought to be useful as markers of rumen function and microbial synthesis (Fievez et al., Reference Fievez, Colman, Castro-Montoya, Stefanov and Vlaeminck2012). But as dietary FA contents and treatments might affect the contribution of microbial FA to total FA outflows and also affect the odd-FA and BCFA bacterial content and outflows differently, these outflows as potential markers of changes in the relative abundance of rumen bacteria strains should be used with care (Berthelot et al., Reference Berthelot, Albarello and Broudiscou2019).

Role of epigenetics and development of the rumen with age

Development of the digestive compartments begins at around the same prenatal stage in sheep and goats, but later than in cattle (Garcia et al., Reference Garcia, Masot, Franco, Gazquez and Redondo2012). Microbial colonisation pattern and fermentation differs between young goats reared during the first month of life under different (natural vs. artificial) milk feeding systems (Abecia et al., Reference Abecia, Ramos-Morales, Martinez-Fernandez, Arco, Martin-Garcia, Newbold and Yanez-Ruiz2014). However, the rumen epithelial immune development was not modified by distinct microbial colonisation patterns (Abecia et al., Reference Abecia, Ramos-Morales, Martinez-Fernandez, Arco, Martin-Garcia, Newbold and Yanez-Ruiz2014). It must be stressed that some supplementation in early life could temporarily be of interest, as for example medium chain FA to decrease methane production, but might also have a negative effect on daily gain of kids and modify some rumen papillae characteristics (Debruyne et al., Reference Debruyne, Ruiz-González, Artiles-Ortega, Ampe, Van den Broeck, Keyser, Vandaele, Goossens and Fievez2018).

Responses to environmental factors

Feeding behaviour and high concentrate diets

The rumen can be considered as a fermenter and the intake of feedstuffs as the supply of substrate for the fermenter. Thus, the pattern and the quality of intake play an important role on the fermentation occurring in the rumen (Desnoyers et al., Reference Desnoyers, Giger-Reverdin, Sauvant and Duvaux-Ponter2011) Sheep and goats have quite similar feeding behaviour and graze selectively on heterogeneous resources in order to eat a diet of higher quality than offered (Baumont et al., Reference Baumont, Prache, Meuret and Morand-Fehr2000), however, goats eat more slowly than sheep because they tend to select their feeds more carefully (Morand-Fehr et al., Reference Morand-Fehr, Owen, Giger-Reverdin and Morand-Fehr1991). The supply of concentrate might be up to 50% or more of the dry matter intake in some high producing herds, which can have the effect of inducing rumen acidosis. Eating and ruminating behaviours are key parameters to be considered in the occurrence of this disease in goats (Giger-Reverdin, Reference Giger-Reverdin2018) as in cattle (Maekawa et al., Reference Maekawa, Beauchemin and Christensen2002). When facing an acidogenic diet, goats develop different individual strategies. They can decrease their intake rate and duration and hence the dry matter eaten during the first eating bout (Serment and Giger-Reverdin, Reference Serment and Giger-Reverdin2012). They can also sort against concentrates and search for fibre (Giger-Reverdin, Reference Giger-Reverdin2018). Without concentrate, mean daily chewing time (962 ± 35 min/d) is close to the mean maximum of 1000 min/d generally observed in ruminants, but each supply of 100 g/day of concentrate decreases daily chewing duration by 23.3 ± 2.8 min/d as obtained from the bibliography data base ‘Caprinut’ (Sauvant and Giger Reverdin, Reference Sauvant and Giger Reverdin2018). This decrease in mastication causes a proportional reduction in salivary input to the rumen and buffer recycling, and thus increases the risk of rumen acidosis. With a total mixed ration (TMR), chewing duration decreases 57.6 ± 6.6 min/d for an increase of 10% concentrate. When compared to cattle the chewing time per g of dry matter intake (DMI) in goats is about 10 time higher (Sauvant et al., Reference Sauvant, Giger-Reverdin, Archimède and Baumont2008). This difference could impact the flow of bicarbonate recycling/g of DMI and explain the higher value of rumen pH for similar diets, mentioned above.

Lipid supplementation

In most ruminant diets, fat represents less than 5% of total dry matter. However, fat can be added to the diet to improve its energetic value in dairy production. It is also often used to modify the FA profile of ruminant products (milk, meat) to improve their nutritional, organoleptic or technological properties. However, fat supplementation often decreases microbial growth, especially fibrolytic bacteria and protozoa, and rumen fibre digestibility. It also decreases the DMI of cows and goats except in goats in early lactation (Faverdin et al., Reference Faverdin, Sauvant, Delaby, Lemosquet, Daniel and Schmidely2018). As in cows, diets rich in lipid increase the level of trans FA in goats (Cremonesi et al., Reference Cremonesi, Conte, Severgnini, Turri, Monni, Capra, Rapetti, Colombini, Chessa, Battelli, Alves, Mele and Castiglioni2018). The biohydrogenation intermediates may vary according to the type of lipids. Those rich in C18:3 9c,12c,15c (linseed) favour biohydrogenation intermediates characteristic of C18:3 biohydrogenation (C18:3 9c,11t, 15c, C18:2 11t,15c, C18:1 15c, C18:1 15t) and those rich in C18:2 9c,12c produce intermediates more characteristic of C18:2 biohydrogenation (C18:1 6t–9t, C18:1 10t, C18:1 11t) (Cremonesi et al., Reference Cremonesi, Conte, Severgnini, Turri, Monni, Capra, Rapetti, Colombini, Chessa, Battelli, Alves, Mele and Castiglioni2018). In this study, despite different biohydrogenation pathways, Butyrivibrio and Pseudobutyrivibrio were not affected by the lipid supplementation. Fibrobacteriaceae and Prevotellaceae were the bacterial families showing the highest and significant correlation with FA involved in the biohydrogenation pathway of C18:3 and C18:2. When ruminal lipid metabolism was compared in dairy cows and goats with diets supplemented with starch and plant oil or fish oil, an interaction between diets and species was observed indicating that the responses of cows and goats to dietary treatments were different. With the plant or fish oil diets, goats exhibited greater increases in C18:1 trans FA in the rumen fluid compared to cows but the shift from C18:1 11t to 10t and the increase in C18:2 10t, 12c was greater in cows fed the starch and C18:2 oil-enriched diet. This suggests that the biohydrogenation pathways are more stable and robust in response to high starch diet with plant oils in goats (Toral et al., Reference Toral, Bernard, Belenguer, Rouel, Hervas, Chilliard and Frutos2016). This is consistent with the higher sensitivity of cows to MFD. In line with these interactions, the bacterial populations affected by lipid supplemented diets differ between cows and goats, in agreement with species specific microbial community structures. Ruminococcaceae, Lachnospiraceae and Succinivibrionaceae were affected in cows whereas Prevotella, Clostridium cluster IV and Veillonellaceae were modified in goats (Toral et al., Reference Toral, Bernard, Belenguer, Rouel, Hervas, Chilliard and Frutos2016).

Fate and detoxification of tannins, polyphenols and other secondary metabolites

A peculiarity of ruminants is the ability to avoid potentially toxic plant species in their diet and/or to be more resistant to secondary metabolites which represent potential toxic compounds, (for example, alkaloids, terpens and terpenoids, organic acids like oxalic acid and phytic acid, glucosinolates, cyanides, saponins and phenolic compounds like tannins and flavonoids). Due to its geographical distribution, a large proportion of the goat population is exposed to these situations, particularly in countries where climatic and soil conditions favour the development of plants which produce all the more secondary metabolites to defend themselves against heat or water stress. In these areas, small ruminants, including goats, appear particularly resistant to ingestion of large amounts of anti-nutritional compounds and even of toxic metabolites (Silanikove et al., Reference Silanikove, Gilboa, Perevolotsky and Nitsan1996). They are also less sensitive to mycotoxins than monogastrics because of the rumen microbiota and the interactions inside the rumen with feed particles enabling the degradation, deactivation and hence detoxification of these metabolites (Gallo et al., Reference Gallo, Giuberti, Frisvad, Bertuzzi and Nielsen2015). Moreover, in the ruminants, there is a difference in detoxification capacity, one such example being the degradability of mycotoxins like aflatoxin B1 which is higher in goats than in steers (Upadhaya et al., Reference Upadhaya, Sung, Lee, Lee, Kim, Cho and Ha2009). Even so, this degradation of aflatoxin B1 in the rumen of the goat leads to the formation of aflatoxin M1 excreted in the milk like in other ruminant species (Battacone et al., Reference Battacone, Nudda, Palomba, Mazzette and Pulina2009). This ability can be linked to a behavioural adaptation towards some secondary metabolites. It may lead to modifications of the dietary selection pattern (Duncan et al., Reference Duncan, Frutos and Young2000; Mkhize et al., Reference Mkhize, Heitkonig, Scogings, Hattas, Dziba, Prins and de Boer2018), but also to specific detoxification enzymatic batteries of secondary metabolites which can be realised at different places in ruminants but mainly in the epithelium of the rumen. In the case of rhodanese, a ubiquitous enzyme playing a central role in cyanide detoxification, the activity was highest in the epithelium of the rumen of goats (Nazifi et al., Reference Nazifi, Aminlari and Alaibakhsh2003).

Currently there is considerable research interest in the tannins and the benefits of agro-industrial by-products containing tannins (for example, chestnut husk, grape skin, winery residue) introduced into the diet of ruminants (Kondo et al., Reference Kondo, Jayanegara, Uyeno and Matsui2016). Tannins are part of the group of phenolic compounds and because of their multiple phenolic hydroxyl groups, one of their main properties is the ability to form complexes with proteins. Moreover, because of their varied natures (hydrolysable or condensed tannins), these metabolites can lead to beneficial or detrimental effects on the ruminant health and feed efficiency according to their concentration (Makkar, Reference Makkar2003). One of the interest aspects of dietary tannins is protection of proteins against ruminal degradation. This could become a handicap when the only sources of protein are provided by legumes rich in condensed tannins, reducing nitrogen availability to rumen microorganisms and inhibiting growth of the main ruminal bacteria. Nevertheless, McSweeney et al. (Reference McSweeney, Palmer, Bunch and Krause1999) could show that in sheep and goats fed a tannin-containing shrub legume Calliandracalothyrsus, some rumen bacteria isolated from goats had an ability to digest protein in the presence of condensed tannins, attesting to the specific digestion and resistance characteristics of the caprine species to secondary metabolites. The architecture of terpens (the presence of oxygen-containing ring structures) which are also important secondary metabolites has a strong influence on their rumen degradability (Malecky et al., Reference Malecky, Fedele and Broudiscou2009). These observations may prove useful to rationalise the use of essential oils and plant dry extracts which are increasingly incorporated as additives to the diet of other ruminant species to optimise ruminal fermentations (Calsamiglia et al., Reference Calsamiglia, Busquet, Cardozo, Castillejos and Ferret2007).

Adaptation to salt or salt stress

Animals may intake large amounts of salt with either feedstuffs or drinking water. Quite often, both sources of salt are combined because water available for drinking is the same as that used by the plants to grow on salty soils. This can be of critical importance when the animals are grazing halophytes and when the saline water from underground wells is the only available drinking water (Ashour et al., Reference Ashour, Badawy, El-Bassiony, El-Hawy, El Shaer, El Shaer and Squires2016). According to the recent review of Attia-Ismail (Reference Attia-Ismail, El Shaer and Squires2016), intake of salt might modify the rumen fermentative profile with an impact on the acid base equilibrium, especially on Na+, K+ and Cl, and thus on the osmotic pressure within the rumen. The animal drinks more water to balance this effect, which can decrease the adhesion of bacteria to feed particles in the rumen and increase the turnover rate of solid and liquid phases in the rumen. The consequence is a lower digestion in the rumen. Large differences in salinity tolerance between animal species or between breeds within species are observed, and it seems that sheep and goats are more tolerant to salt stress than cattle when adapted, and that goats have a slight tolerance advantage over sheep (Dunson, Reference Dunson1974; McGregor, Reference McGregor2004; Squires, Reference Squires, El Shaer and Squires2016). Goats are able to cope without any detrimental effect on digestibility up to levels of 8326 mg TDS (total dissolved solutes) in water (Paiva et al., Reference Paiva, Araújo, Henriques, Medeiros, Beltrão Filho, Costa, Albuquerque, Gois, Campos and Freire2017) but, as in heifers, rumen function and cell wall digestibility decreases with an increase in TDS (Alves et al., Reference Alves, Araujo, Neto, Voltolini, Santos, Rosa, Guan, McAllister and Neves2017).

Heat stress

Heat stress is often associated with water deprivation or infrequent drinking in animals living in arid areas (Silanikove, Reference Silanikove1992).Feed intake decreases during heat stress for several reasons. Thermoregulation operates to decrease heat production arising from rumen fermentation, and there is limited availability of water and of feeds, the majority of which have a poor nutritive value (Morand-Fehr and Doreau, Reference Morand-Fehr and Doreau2000). Feeding pattern is also modified with an increase in night grazing. In these conditions, reduction of passage rate through the digestive tract might increase digestibility, but this benefit is overridden by the negative effects of heat stress and water deprivation (Silanikove, Reference Silanikove1992). Rumen fermentation is modified by heat stress: rumen pH decreased at equivalent dry matter intake (Castro-Costa et al., Reference Castro-Costa, Salama, Moll, Aguilo and Caja2015) and the rumen bacterial community changes in goats (Zhong et al., Reference Zhong, Ding, Wang, Zhou, Guo, Chen and Yang2019). Indigenous goats adapted to harsh conditions are more capable of coping with heat stress than non-desert breeds (Silanikove, Reference Silanikove1992). Moreover, goats have a poor insulation capacity in contrast to sheep, but have the advantage of dissipating heat by sweating (Silanikove, Reference Silanikove1992).

Perspectives

This review exposes some areas in which knowledge is lacking and there is need for further research and new approaches.

Feeding behaviour

Goats exhibit an important sorting behaviour compared to other ruminants, which impacts rumen function and the efficiency of microbial growth. More studies are needed to better separate the influence of feed sorting from the intrinsic species effect, and to find an explanation to the lack of digestive interaction due to the proportion of concentrate, or to the higher rumen pH compared to cattle for a similar diet.

Microbiota

Despite the wealth of information provided by modern omics techniques, little progress has been made in the understanding of the relationship between the structure and functions of rumen microbiota. The methodological effort needed to quantify the microbiota structural and metabolic characteristics is tedious enough to hinder the implementation of dedicated experiments. Moreover, the strong redundancy among the main functions in the ruminal ecosystem limits the potential number of unequivocal and specific relations between microbial species and functional abilities. However, two areas are worth exploring in this relationship; firstly, the consideration of the host phenotype for some important functions of the microbiota such as methanogenesis, and secondly, the consideration of smaller scales, close to the size of the plant tissues, that are potential ecological niches capable of harbouring specialised microbial communities.

Omics

As previously pointed out, the many interactions occurring between the different animal tissues and cells but also, at different levels, between the cell (genome) and exogenous events (environment) are hindrances to understanding the underlying mechanisms and the role of the host compared to that of the rumen microbiota. One of the ways to access all of the systemic and/or tissue-specific signatures is the approach via ‘omics’. Indeed, these approaches are complementary in the search for interrelationships between genotypes and phenotypes (Shahzad and Loor, Reference Shahzad and Loor2012). Metabolomics, in which advanced analytical chemistry techniques and multidimensional statistical analyses are applied to measure large numbers of small molecule metabolites in cells, tissues and biofluids (end products of these complex interactions), after being first exploited in biomedical research, is progressively used also in research and monitoring of livestock (Goldansaz et al., Reference Goldansaz, Guo, Sajed, Steele, Plastow and Wishart2017). Most of the time, it is the association between different complementary approaches which provides most information. For example, by combining metabolomics and proteomic studies, it is possible to get a better knowledge of the role of the rumen epithelium in goats adapted to grain-rich feeding compared to hay feeding (Guo et al., Reference Guo, Sun, Wang and Mao2019).The joint and simultaneous use of metabolomics and pyrosequencing studies in goats informs about the metabolic pathways preferentially involved in the response to high-grain diets (Zhang et al., Reference Zhang, Liu, Yin, Jin, Mao and Liu2019), whilst the links between the ruminal bacterial community and metabolites represent a powerful tool in terms of prediction or monitoring of certain nutritional diseases such as acidosis (Mao et al., Reference Mao, Huo and Zhu2016; Hua et al., Reference Hua, Tian, Tian, Cong, Luo, Geng, Tao, Ni and Zhao2017). These approaches also make it possible to investigate more finely and specifically via co-culture the key role of microorganisms such as fungi and methanogens, but also the nature of the metabolites produced (Cheng et al., Reference Cheng, Jin, Mao and Zhu2013). Interrelationships between the different bacteria of the ruminal community in goat kids after birth and before weaning (Abecia et al., Reference Abecia, Martinez-Fernandez, Waddams, Martin-Garcia, Pinloche, Creevey, Denman, Newbold and Yanez-Ruiz2018) can also be studied. These first studies using the ‘omics’ approaches in livestock (including small ruminants and goats), based on non-invasive sampling methodologies and analysing a high quantity of small molecules in different biological fluids and matrices to identify putative biomarkers, are probably only just the start of much more extensive research exploiting the opportunities offered by multi-omics studies (Goldansaz et al., Reference Goldansaz, Guo, Sajed, Steele, Plastow and Wishart2017).

Conclusion

This review points out that goats have globally similar rumen function when compared to other ruminants, even if there is a lack of detailed comparison between species in similar conditions. Knowledge needs to be improved in some areas, such as microbial efficiency and ecology or feeding behaviour. Moreover, some breeds of goats have developed specific characteristics to sustain them in harsh conditions, because they are able to cope with anti-nutritional or toxic compounds derived from secondary plant metabolites, and are quite tolerant to environmental stressors, which is a key point in the context of climate change.

References

Abecia, L, Ramos-Morales, E, Martinez-Fernandez, G, Arco, A, Martin-Garcia, AI, Newbold, CJ and Yanez-Ruiz, DR (2014) Feeding management in early life influences microbial colonisation and fermentation in the rumen of newborn goat kids. Animal Production Science 54, 14491454.Google Scholar
Abecia, L, Martinez-Fernandez, G, Waddams, K, Martin-Garcia, AI, Pinloche, E, Creevey, CJ, Denman, SE, Newbold, CJ and Yanez-Ruiz, DR (2018) Analysis of the rumen microbiome and metabolome to study the effect of an antimethanogenic treatment applied in early life of kid goats. Frontiers in Microbiology 9, article 2227, 114.Google Scholar
Alves, JN, Araujo, GGL, Neto, SG, Voltolini, TV, Santos, RD, Rosa, PR, Guan, L, McAllister, T and Neves, ALA (2017) Effect of increasing concentrations of total dissolved salts in drinking water on digestion, performance and water balance in heifers. Journal of Agricultural Science 155, 847856.Google Scholar
Ashour, G, Badawy, MT, El-Bassiony, MF, El-Hawy, AS and El Shaer, HM (2016) Chapter 14. Impact of halophytes and salt tolerant plants on physiological performance of livestock. In El Shaer, HM and Squires, VR (eds), Halophytic and Salt-Tolerant Feedstuffs. Impacts on Nutrition, Physiology and Reproduction of Livestock. Boca Raton, FL, USA: Crc Press-Taylor & Francis Group, pp. 261286.Google Scholar
Attia-Ismail, SA (2016) Chapter 19. Rumen physiology under high salt stress. In El Shaer, HM and Squires, VR (eds), Halophytic and salt-tolerant feedstuffs. Impacts on nutrition, physiology and reproduction of livestock. Boca Raton, FL, USA: Crc Press-Taylor & Francis Group, pp. 348357.Google Scholar
Baldwin, RL and Connor, EE (2017) Rumen function and development. Veterinary Clinics of North America, Food Animal Practice 33, 427439.Google ScholarPubMed
Battacone, G, Nudda, A, Palomba, M, Mazzette, A and Pulina, G (2009) The transfer of aflatoxin M1 in milk of ewes fed diet naturally contaminated by aflatoxins and effect of inclusion of dried yeast culture in the diet. Journal of Dairy Science 92, 49975004.Google ScholarPubMed
Baumont, R, Prache, S, Meuret, M and Morand-Fehr, P (2000) How forage characteristics influence behaviour and intake in small ruminants: a review. Livestock Production Science 64, 1528.Google Scholar
Berthelot, V, Albarello, H and Broudiscou, LP (2019) Effect of extruded linseed supplementation, grain source and pH on dietary and microbial fatty acid outflows in continuous cultures of rumen microorganisms. Animal Feed Science and Technology 249, 7687.Google Scholar
Calsamiglia, S, Busquet, M, Cardozo, PW, Castillejos, L and Ferret, A (2007) Essential oils as modifiers of rumen microbial fermentation. Journal of Dairy Science 90, 25802595.Google ScholarPubMed
Castro-Costa, A, Salama, AAK, Moll, X, Aguilo, J and Caja, G (2015) Using wireless rumen sensors for evaluating the effects of diet and ambient temperature in nonlactating dairy goats. Journal of Dairy Science 98, 46464658.Google ScholarPubMed
Cheng, YF, Jin, W, Mao, SY and Zhu, WY (2013) Production of citrate by anaerobic fungi in the presence of co-culture methanogens as revealed by H-1 NMR spectrometry. Asian-Australasian Journal of Animal Sciences 26, 14161423.Google Scholar
Clauss, M, Hummel, J and Streich, WJ (2006) The dissociation of the fluid and particle phase in the forestomach as a physiological characteristic of large grazing ruminants: an evaluation of available, comparable ruminant passage data. European Journal of Wildlife Research 52, 8898.Google Scholar
Cremonesi, P, Conte, G, Severgnini, M, Turri, F, Monni, A, Capra, E, Rapetti, L, Colombini, S, Chessa, S, Battelli, G, Alves, SP, Mele, M and Castiglioni, B (2018) Evaluation of the effects of different diets on microbiome diversity and fatty acid composition of rumen liquor in dairy goat. Animal: An International Journal of Animal Bioscience 12, 18561866.Google ScholarPubMed
Das, SK and Misra, SK (1992) Liver function in experimental rumen acidosis in goats. Indian Journal of Animal Sciences 62, 243244.Google Scholar
Debruyne, S, Ruiz-González, A, Artiles-Ortega, E, Ampe, B, Van den Broeck, W, Keyser, ED, Vandaele, L, Goossens, K and Fievez, V (2018) Supplementing goat kids with coconut medium chain fatty acids in early life influences growth and rumen papillae development until 4 months after supplementation but effects on in vitro methane emissions and the rumen microbiota are transient. Journal of Animal Science 96, 19781995.Google ScholarPubMed
Desnoyers, M, Giger-Reverdin, S, Sauvant, D and Duvaux-Ponter, C (2011) The use of a multivariate analysis to study between-goat variability in feeding behavior and associated rumen pH patterns. Journal of Dairy Science 94, 842852.Google ScholarPubMed
Devendra, C (1978) The digestive efficiency of goats. World Review of Animal Production 14, 922.Google Scholar
Duncan, AJ, Frutos, P and Young, SA (2000) The effect of rumen adaptation to oxalic acid on selection of oxalic-acid-rich plants by goats. British Journal of Nutrition 83, 5965.Google ScholarPubMed
Dunson, WA (1974) Some aspects of salt and water balance of feral goats from arid islands. American Journal of Physiology – Renal Physiology 226, R662R669.Google ScholarPubMed
Faverdin, P, Sauvant, D, Delaby, L, Lemosquet, S, Daniel, JB and Schmidely, P (2018) 9. Dry matter intake and milk yield responses to dietary changes. In INRA (ed), INRA Feeding System for Ruminants. Wageningen, NLD: Wageningen Academic Publishers, pp. 149176.Google Scholar
Fievez, V, Colman, E, Castro-Montoya, JM, Stefanov, I and Vlaeminck, B (2012) Milk odd- and branched-chain fatty acids as biomarkers of rumen function – an update. Animal Feed Science and Technology 172, 5165.Google Scholar
Gallo, A, Giuberti, G, Frisvad, JC, Bertuzzi, T and Nielsen, KF (2015) Review on mycotoxin issues in ruminants: occurrence in forages, effects of mycotoxin ingestion on health status and animal performance and practical strategies to counteract their negative effects. Toxins 7, 30573111.Google ScholarPubMed
Garcia, A, Masot, J, Franco, A, Gazquez, A and Redondo, E (2012) Histomorphometric and immunohistochemical study of the goat rumen during prenatal development. Anatomical Record-Advances in Integrative Anatomy and Evolutionary Biology 295, 776785.Google ScholarPubMed
Giger-Reverdin, S (2018) Recent advances in the understanding of subacute ruminal acidosis (SARA) in goats, with focus on the link to feeding behaviour. Small Ruminant Research 163, 2428.Google Scholar
Giger-Reverdin, S and Sauvant, D (2014) Relationships of both urine nitrogen output and plasma urea concentration with rumen protein balance in lactating goats. Animal Production Science 54, 18221825.Google Scholar
Goldansaz, SA, Guo, AC, Sajed, T, Steele, MA, Plastow, GS and Wishart, DS (2017) Livestock metabolomics and the livestock metabolome: a systematic review. Plos One 12, 26.Google ScholarPubMed
Guo, CZ, Sun, DM, Wang, XF and Mao, SY (2019) A combined metabolomic and proteomic study revealed the difference in metabolite and protein expression profiles in ruminal tissue from goats fed hay or high-grain diets. Frontiers in Physiology 10, 11.Google ScholarPubMed
Henderson, G, Cox, F, Ganesh, S, Jonker, A, Young, W, Janssen, PH and Global Rumen Census C (2015) Rumen microbial community composition varies with diet and host, but a core microbiome is found across a wide geographical range. Scientific Reports 5, 14567Google ScholarPubMed
Hua, CF, Tian, J, Tian, P, Cong, RH, Luo, YW, Geng, YL, Tao, SY, Ni, YD and Zhao, RQ (2017) Feeding a high concentration diet induces unhealthy alterations in the composition and metabolism of ruminal microbiota and host response in a goat model. Frontiers in Microbiology 8, 12.Google Scholar
Huws, SA, Kim, EJ, Lee, MRF, Scott, MB, Tweed, JKS, Pinloche, E, Wallace, RJ and Scollan, ND (2011) As yet uncultured bacteria phylogenetically classified as Prevotella, Lachnospiraceae Incertae sedis and unclassified Bacteroidales, Clostridiales And Ruminococcaceae May play a predominant role in ruminal biohydrogenation. Environmental Microbiology 13, 15001512.Google ScholarPubMed
INRA (2018) INRA Feeding System for Ruminants. Wageningen, NLD: Wageningen Academic Publishers.Google Scholar
Jaber, L, Chedid, M and Hamadeh, S (2013) Water stress in small ruminants. In Akıncı, S (ed.), Responses of Organisms to Water Stress. Rijeka: InTech, pp. 115149.Google Scholar
Klevenhusen, F, Hollmann, M, Podstatzky-Lichtenstein, L, Krametter-Frotscher, R, Aschenbach, JR and Zebeli, Q (2013) Feeding barley grain-rich diets altered electrophysiological properties and permeability of the ruminal wall in a goat model. Journal of Dairy Science 96, 22932302.Google Scholar
Kondo, M, Jayanegara, A, Uyeno, Y and Matsui, H (2016) Variation of tannin contents in selected agro-industrial by-products and their biological activity in precipitating protein. Advances in Animal and Veterinary Sciences 4, 6670.Google Scholar
Liu, JH, Xu, TT, Liu, YJ, Zhu, WY and Mao, SY (2013) A high-grain diet causes massive disruption of ruminal epithelial tight junctions in goats. American Journal of Physiology – Regulatory, Integrative and Comparative Physiology 305, R232R241.Google ScholarPubMed
Lourenço, M, Ramos-Morales, E and Wallace, RJ (2010) The role of microbes in rumen lipolysis and biohydrogenation and their manipulation. Animal: An International Journal of Animal Bioscience 4, 10081023.Google ScholarPubMed
Maekawa, M, Beauchemin, KA and Christensen, DA (2002) Effect of concentrate level and feeding management on chewing activities, saliva production, and ruminal pH of lactating dairy cows. Journal of Dairy Science 85, 11651175.Google ScholarPubMed
Makkar, HPS (2003) Effects and fate of tannins in ruminant animals, adaptation to tannins, and strategies to overcome detrimental effects of feeding tannin-rich feeds. Small Ruminant Research 49, 241256.Google Scholar
Malecky, M, Fedele, V and Broudiscou, LP (2009) In vitro degradation by mixed rumen bacteria of 17 mono- and sesquiterpenes typical of winter and spring diets of goats on Basilitica rangelands (southern Italy). Journal of the Science of Food and Agriculture 89, 531536.Google Scholar
Mao, SY, Huo, WJ and Zhu, WY (2016) Microbiome-metabolome analysis reveals unhealthy alterations in the composition and metabolism of ruminal microbiota with increasing dietary grain in a goat model. Environmental Microbiology 18, 525541.Google Scholar
McGregor, BA (2004) The use and macro-mineral content of saline water for goat production. South African Journal of Animal Science 34, 215218.Google Scholar
McSweeney, CS, Palmer, B, Bunch, R and Krause, DO (1999) Isolation and characterization of proteolytic ruminal bacteria from sheep and goats fed the tannin-containing shrub legume Calliandra calothyrsus. Applied and Environmental Microbiology 65, 30753083.Google ScholarPubMed
Min, BR, Gurung, N, Shange, R and Solaiman, S (2019) Potential role of rumen microbiota in altering average daily gain and feed efficiency in meat goats fed simple and mixed pastures using bacterial tag-encoded FLX amplicon pyrosequencing. Journal of Animal Science 97, 35233534.Google Scholar
Mkhize, NR, Heitkonig, IMA, Scogings, PF, Hattas, D, Dziba, LE, Prins, HHT and de Boer, WF (2018) Seasonal regulation of condensed tannin consumption by free-ranging goats in a semi-arid savanna. Plos One 13, 17.Google Scholar
Moon, YH, Ok, JU, Lee, SJ, Ha, JK and Lee, SS (2010) A comparative study on the rumen microbial populations, hydrolytic enzyme activities and dry matter degradability between different species of ruminant. Animal Science Journal 81, 642647.Google ScholarPubMed
Morand-Fehr, P and Doreau, M (2000) Effect of climate uncertainty on feed intake and digestion in ruminants. In Livestock production and climatic uncertainty in the Mediterranean. Proceedings of the joint ANPA-EAAP-CIHEAM-FAO symposium, Agadir, Morocco, pp. 95105.Google Scholar
Morand-Fehr, P, Owen, E and Giger-Reverdin, S (1991) Feeding behaviour of goats at the trough. In Morand-Fehr, P (ed.), Goat Nutrition. Wageningen, The Netherlands: Pudoc, pp. 312.Google Scholar
Nazifi, S, Aminlari, M and Alaibakhsh, MA (2003) Distribution of rhodanese in tissues of goat (Capra hircus). Comparative Biochemistry and Physiology B-Biochemistry & Molecular Biology 134, 515518.Google Scholar
Paiva, GN, Araújo, G, Henriques, LT, Medeiros, AN, Beltrão Filho, EM, Costa, RG, Albuquerque, ÍRRD, Gois, GC, Campos, FS and Freire, RMB (2017) Water with different salinity levels for lactating goats. Semina: Ciencias Agrarias (Londrina) 38, 20652074.Google Scholar
Sales, J, Jancik, F and Homolka, P (2012) Quantifying differences in total tract nutrient digestibilities between goats and sheep. Journal of Animal Physiology and Animal Nutrition 96, 668678.Google ScholarPubMed
Sauvant, D and Giger Reverdin, S (2018) 21. Dairy and growing goats. In INRA Feeding System for Ruminants. Wageningen, NLD: Wageningen Academic Publishers, pp. 339374.Google Scholar
Sauvant, D, Assoumaya, C, Giger-Reverdin, S and Archimède, H (2006) [A comparative study of the ways of expressing the feeding level in ruminants]. In INRA – Institut de l'Elevage (Eds), 13èmes Rencontres Autour des Recherches sur les Ruminants. Paris, France: INRA – Institut de l'Elevage, p. 103.Google Scholar
Sauvant, D, Giger-Reverdin, S, Archimède, H and Baumont, R (2008) [Modelling relationships between chewing activities in ruminants, dietary characteristics and digestion]. In INRA – Institut de l'Elevage (Eds), 15èmes Rencontres Autour des Recherches sur les Ruminants, Paris, France, pp. 331334.Google Scholar
Sauvant, D, Chapoutot, P, Ortigues-Marty, I and Nozière, P (2018a) 3. Energy supply. In INRA (ed), INRA Feeding System for Ruminants. Wageningen, NLD: Wageningen Academic Publishers, pp. 4359.Google Scholar
Sauvant, D, Faverdin, P, Peyraud, JL and Nozière, P (2018b) 13. Faecal and urinary nitrogen excretion. In INRA (ed), INRA Feeding System for Ruminants. Wageningen, NLD: Wageningen Academic Publishers, pp. 203207.Google Scholar
Sauvant, D, Giger Reverdin, S and Peyraud, J-L (2018c) 15. Digestive welfare and rumen acidosis. In INRA (ed), INRA Feeding System for Ruminants. Wageningen, NLD: Wageningen Academic Publishers, pp. 213218.Google Scholar
Schmidely, P, Glasser, F, Doreau, M and Sauvant, D (2008) Digestion of fatty acids in ruminants: a meta-analysis of flows and variation factors. 1. Total fatty acids. Animal: An International Journal of Animal Bioscience 2, 677690.Google ScholarPubMed
Serment, A and Giger-Reverdin, S (2012) Effect of the percentage of concentrate on intake pattern in mid-lactation goats. Applied Animal Behaviour Science 141, 130138.Google Scholar
Shahzad, K and Loor, JJ (2012) Application of top-down and bottom-up systems approaches in ruminant physiology and metabolism. Current Genomics 13, 379394.Google ScholarPubMed
Silanikove, N (1992) Effects of water scarcity and hot environment on appetite and digestion in ruminants: a review. Livestock Production Science 30, 175194.Google Scholar
Silanikove, N (1994) The struggle to maintain hydration and osmoregulation in animals experiencing severe dehydration and rapid rehydration: the story of ruminants. Experimental Physiology 79, 281300.Google ScholarPubMed
Silanikove, N, Gilboa, N, Perevolotsky, A and Nitsan, Z (1996) Goats fed tannin-containing leaves do not exhibit toxic syndromes. Small Ruminant Research 21, 195201.Google Scholar
Squires, VR (2016) Chapter 15. Water requirements of livestock fed on halophytes and salt tolerant forage and fodders. In El Shaer, HM and Squires, VR (eds), Halophytic and Salt-Tolerant Feedstuffs: Impacts on Nutrition, Physiology and Reproduction of Livestock. Boca Raton, FL, USA: Crc Press-Taylor & Francis Group, pp. 287302.Google Scholar
Toral, PG, Bernard, L, Belenguer, A, Rouel, J, Hervas, G, Chilliard, Y and Frutos, P (2016) Comparison of ruminal lipid metabolism in dairy cows and goats fed diets supplemented with starch, plant oil, or fish oil. Journal of Dairy Science 99, 301316.Google ScholarPubMed
Upadhaya, SD, Sung, HG, Lee, CH, Lee, SY, Kim, SW, Cho, KJ and Ha, JK (2009) Comparative study on the aflatoxin B1 degradation ability of rumen fluid from Holstein steers and Korean native goats. Journal of Veterinary Science 10, 2934.Google ScholarPubMed
Weimer, PJ, Cox, MS, Vieira de Paula, T, Lin, M, Hall, MB and Suen, G (2017) Transient changes in milk production efficiency and bacterial community composition resulting from near-total exchange of ruminal contents between high- and low-efficiency Holstein cows. Journal of Dairy Science 100, 71657182.Google ScholarPubMed
Zhang, RY, Zhu, WY, Zhu, W, Liu, JX and Mao, SY (2014) Effect of dietary forage sources on rumen microbiota, rumen fermentation and biogenic amines in dairy cows. Journal of the Science of Food and Agriculture 94, 18861895.Google ScholarPubMed
Zhang, RY, Liu, YJ, Yin, YY, Jin, W, Mao, SY and Liu, JH (2019) Response of rumen microbiota, and metabolic profiles of rumen fluid, liver and serum of goats to high-grain diets. Animal: An International Journal of Animal Bioscience 13, 18551864.Google ScholarPubMed
Zhong, S, Ding, Y, Wang, YY, Zhou, GC, Guo, HR, Chen, YL and Yang, YX (2019) Temperature and humidity index (THI)-induced rumen bacterial community changes in goats. Applied Microbiology and Biotechnology 103, 31933203.Google ScholarPubMed