menu menu_open
Brasil
home Sumário navigate_before Anterior Atual Seguinte navigate_next
home Sumário
ANIMAL PRODUCTION • Cienc. Rural 50 (10) • 2020 • https://doi.org/10.1590/0103-8478cr20190745 linkcopy

Open-access On-farm welfare assessment in meat goat does raised in semi-intensive and extensive systems in semiarid regions of Ceará, Northeast, Brazil

Avaliação do bem-estar em fazendas de cabras de corte criadas em sistemas semi-intensivo e extensivo em regiões semiáridas do Ceará, Nordeste, Brasil

AuthorshipSCIMAGO INSTITUTIONS RANKINGS

    ABSTRACT:

    The aim of this study was to apply a protocol based on the Animal Welfare Indicators (AWIN) protocols for small ruminants in Brazilian Northeast farms to evaluate the welfare of meat goat, comparing animals kept on semi-intensive (S) and extensive (E) farms. Fifteen farms located in the Metropolitan Region of Quixadá and Quixeramobim, Ceará, Brazilian Northeast, were recruited. Assessments were performed at group and individual level. Significant differences between S and E farms was set at P<0.05 to all tests. At group level, there was a significant difference between groups, with more goats from E farms affected by heat stress and more animals from S farms presenting oblivion. Resource-based indicators, type of drinkers and access to shelter, differed significantly between S and E systems, with goats on S farms allocated in places with access to water more frequently during night period and protected from wind. Type of facility was more complex for animals on S farms (n=2) than on all E farms due to internal divisions, with S farms presenting feeders, drinking fountains, salt shakers, and slatted or cemented floor. At individual level, abscess and ocular discharge were more frequently observed on S farms and ears lesions were more frequent on E farms, probably due to distinct management of goats. Similarities between results showed that farmers in both production systems faced problems related to heat stress, lack of forage and health issues.

    Key words: animal welfare; AWIN protocol; production system; human-animal relationship; physiological indicators

    RESUMO:

    O objetivo deste estudo foi aplicar um protocolo baseado nos protocolos Animal Welfare Indicators (AWIN) de pequenos ruminantes em fazendas do nordeste brasileiro para avaliar o bem-estar de cabras de corte, comparando animais mantidos em fazendas semi-intensivas (S) e extensivas (E). Quinze fazendas localizadas na Região Metropolitana de Quixadá e Quixeramobim, no Ceará, Nordeste do Brasil, foram recrutadas. As avaliações foram realizadas no nível de grupo e individual. A diferença significativa entre as fazendas S e E foi estabelecida em P<0,05 para todos os testes. No nível de grupo, houve diferença significativa, com mais cabras do grupo E afetadas por estresse térmico e do grupo S apresentando apatia. Indicadores baseados em recursos, tipo de bebedores e acesso a abrigos diferiram significativamente entre os sistemas S e E, com cabras em fazendas S alocadas em locais com acesso à água durante o período noturno mais frequentemente e protegidas do vento. O tipo de instalação era mais complexo para os animais nas fazendas S (n=2) do que nas fazendas E, devido as divisões internas, com a presença de comedouros, bebedouros, saleiros, piso ripado ou cimentado em fazendas S. A nível individual, abscesso e secreção ocular foram observados mais frequentemente nas fazendas S, e lesões nas orelhas, nas fazendas E, provavelmente devido ao manejo distinto das cabras. Semelhanças entre os resultados mostraram que os fazendeiros de ambos os sistemas de produção enfrentam problemas relacionados ao estresse térmico, falta de forragem e problemas de saúde.

    Palavras-chave: bem-estar animal; protocolo AWIN; sistema de produção; relacionamento humano-animal; indicadores fisiológicos

    INTRODUCTION:

    Raising goats in Brazilian Northeast is an important social-economic activity, especially for middle and low income people, being an essential source of milk, protein and goatskin (SILVA & ARAÚJO, 2000). More than 90% of goats live in this region, with Ceará being the fourth largest state that raises goats in Brazil (IBGE, 2016).Although Northeast has the largest number of goats in Brazil, rearing is mainly aimed to the subsistence of farmers with several limitations to the growth of this activity. Productivity of herds is quite restricted due to technological and handling limitations as difficult access to forage during dry season; lower genetic quality of herds, with precarious reproductive management practice, as lack of male control; sanitary conditions, as mortality of young animals, that occurs as a result of infectious and parasitic diseases, leading to high mortality rates (SEBRAE, 2009). In addition, almost all of Ceará’s territory is inserted in semiarid region (IPECE, 2005), characterized by hot and dry climate, irregular rains concentrated in few months, with water scarcity, especially during dry periods, and Caatinga as the main vegetation type (ARAÚJO, 2011). This context possibly hinders the development of goat rearing in Ceará, regardless of type of system in which these animals are raised.

    In extensive systems, the main system in Northeast (McMANUS et al., 2014), goats are kept in rudimentary facilities and they are fed on natural pastures. Conversely in semi-intensive systems, animals have supplemental feed and better health management practices (CODEVASF, 2011).

    Welfare assessment of farm animals, sentient beings, has been increasingly worldwide (BLOKHUIS et al., 2010). Species-specific protocols have been developed aiming to identify the challenges faced by farm animals and searching for solutions to promote a better quality of life for them (WELFARE QUALITY®, 2009; AWIN PROJECT, 2015).

    AWIN Goat protocol was designed to assess the welfare of adult lactating dairy goats raised in intensive and semi-intensive systems, with a primary focus on animal-based indicators (AWIN GOAT, 2015). Although there was no specific protocol for meat goat does, the authors suggested indicators that could be used to evaluate the welfare of these animals in Brazilian Northeast (AWIN GOAT, 2015; AWIN SHEEP, 2015; LEITE et al., 2017). Therefore, the aim of the present study was to apply a protocol to evaluate the welfare of meat goat does in Brazilian Northeast farms, comparing animals kept on semi-intensive and extensive farms, quantifying the welfare problems in both groups and describing some considerations related to the protocol.

    MATERIALS AND METHODS:

    Farms were recruited via local goats’ meat farmers associations. Fifteen farms located in the Metropolitan Region of Quixadá and Quixeramobim, Ceará, Brazilian Northeast were visited in July 2016. This region have Caatinga biome which occurs in the semiarid region of Brazilian Northeast, mainly composed of an irregular climate, with strong insolation, high evaporation rates and low rainfall, and a predominance of deciduous plant species (LOIOLA et al., 2012).

    Farms were organized in two groups, extensive (E) or semi-intensive (S), according to the definition by CODEVASF (2011). In extensive systems, goats are kept in rudimentary facilities, defined as installations with bare soil, absence of internal divisions, containing or not troughs for the animals (ALENCAR et al., 2010), animals are fed only on natural pastures and the use of technology for the production system is low (CODEVASF, 2011). Semi-intensive systems are characterized by a higher use of technology than extensive systems: animals have supplemental feed and frequent health management (CODEVASF, 2011). Pinheiro et al. (2000) observed that farms in extensive (n=99; 78%) systems are the majority compared to other systems in Ceará, which was also observed in this study, being easier to find E farms in contrast to S farms (Table 1).

    Thumbnail
    Table 1
    Description of the number of goats evaluated on S and E farms, at first and second levels of welfare assessment, established by AWIN sheep (AWIN SHEEP, 2015) and goat (AWIN GOAT, 2015) protocols.

    On five farms (farms 01 to 05), animals were maintained in semi-intensive (S) systems. S farms had higher frequency of hooves trimming than E farms, and presented infirmary and quarantine facilities (Table 1). Besides, S systems commonly had an installation with raised and slatted floors, with internal divisions, and the presence of feeders, drinking fountains and salt shakers. On ten farms (farms 06 to 15), animals were kept in extensive (E) systems, with animals being released early during day time and housed before night, being fed only on natural pastures of Caatinga. Number of farms in each group was different because during the study it was not possible to contact more S farms due to the lack of this type of farm in the evaluated region. Assessments in S and E farms occurred during morning (07:00 a. m - 12:00 a.m.) or afternoon (01:00 p.m. - 04:00 p.m.) periods, on both groups (three S farms during morning and two during afternoon and six E farms during morning and four during afternoon).

    Assessed meat goat does have at least seven months and were raised for breeding or meat purposes. On S farms, pure breed meat goats occurred on most properties (n=3; 60%), presenting Boer, Savana, and Kalahari goats. On E farms, mixed breeds composed of two or more different breeds as Anglo-Nubian, Saanen, Alpine goat, Boer, and Toggenburg were presented (n=10; 100%). On all assessed farms, the animals were used by farmers for their own consumption, goatskin trade, competition in agricultural events, and sale of living goats in local fairs or abattoirs.

    A protocol for assessing welfare of meat goat does was designed considering aspects of the reality of these animals in the Brazilian northeastern semiarid. This protocol was elaborated based on AWIN protocols structure: first (Table 2) and second (Table 3) welfare levels of assessment (AWIN PROJECT, 2015). Animal and resource-based indicators applied to dairy goats (AWIN GOAT, 2015) and ewes (AWIN SHEEP, 2015) were selected (for more details see <https://air.unimi.it/retrieve/handle/2434/269102/384790/AWINProtocolGoats.pdf> for goats, or <https://air.unimi.it/bitstream/2434/269114/2/AWINProtocolSheep.pdf> for sheep). Some parameters based on the literature on goat health (CAROPRESE et al., 2009) and type and cleanliness of facilities for small ruminants in Brazilian Northeast were also added (SEBRAE, 2009; ALENCAR et al., 2010; CODEVASF, 2011; LEITE et al., 2017).

    Thumbnail
    Table 2
    Indicatorswith their respective categories (Animal Health-H; Human-Animal Relationship - HAR; Resources - R) used to assess meat goat does at first welfare level in Ceará, Brazil.

    The person who assessed the goats is a veterinarian who had one year of experience with goat management and she was also trained on diagnosis of animal welfare. The evaluator was trained using the AWIN application for goats available on the Play Store (Android) for 20 hours and had the assistance of one of the co-authors (FOS) who applied the AWIN protocol on sheep during her master’s study. A practical training session at the Experimental Farm of Federal University of Paraná was taken, which had the duration of three hours.

    The first level of welfare assessment includes behavioural and health observations of the animals, human-animal relationship and resources data. The second level of assessment includes the individual evaluation of the goats. Table 1 shows the number of animals evaluated at first and second welfare levels of assessments on each farm. At first welfare level, two groups of animals, kept in fenced fields or in pens (no farm raised free range meat goats), were evaluated on each farm. In case there was only one group in the farm, only this was assessed. Groups were randomly selected and goats kept in infirmary and quarantine were not considered. No physical contact was performed with animals at this level. Evaluations started outside the pens/fields and then inside. Superficial temperature (T) (°C) and relative humidity of air (RH) (%) were calculated with Digital Thermo Hygrometer ITHT2210, and local time were recorded at the beginning of each assessment.

    Table 2 describes parameters used to assess goat’s welfare. Lameness, access to shade and shelter, water availability and facility indicators were subdivided into variables to suit the analyses. Familiar Human Approach Test (FHAT) was applied to measure flight distance of meat goat does from stockperson approach. Vulvar discharge was selected based on pathologies related to reproductive organs as caprine herpes virus or pseudo pregnancy (PUGH, 2002). Facility parameter was proposed by authors to identify the type of installation and floor used more frequently by farmers aiming to verify cleanliness of facilities and frequency of cleanness. The last is an indicator based on management. Indicators were scored according to AWIN GOAT (2015) and AWIN SHEEP (2015) and stocking density was classified in categories. Stocking density was divided in poor (< 1.5m2), adequate (between 1.51 and 1.99m2) and good (≥ 2m2). This indicator was proposed based on AWIN SHEEP (2015) and MIRANDA-DE LA LAMA & MATIELLO (2010).

    At second welfare level, a number of animals were selected, according to the total number of animals on each farm (AWIN GOAT, 2015), and individual assessments were carried out using animal-based indicators. Eight parameters were selected to be applied on meat goat does (Table 3). Lesions (L)were divided in six variables: L in ears, L in eyes, L in face/muzzle, L on neck, L on body, L on udder and teats. These variables were also classified regarding presence/absence of myiasis: absent (0); presence of minor lesion with myiasis; presence of minor lesion without myiasis; presence of major lesion with myiasis; presence of major lesion without myiasis. The number of meat goat does individually assessed was determined by AWIN Goat protocol (AWIN GOAT, 2015).

    Thumbnail
    Table 3
    Indicators used to assess meat goat does at second welfare level in Ceará, Brazil.

    Data were analyzed using IBM SPSS, v. 19. At first and second welfare level of assessments, indicators were processed comparing E and S farms. Data normality was evaluated with Shapiro-Wilk test. Only data related to humidity and temperature had a normal distribution. To compare the mean values of temperature and relative humidity between the two groups of farms (S and E), Student t test was applied.

    In data without normal distribution, nonparametric statistical tests were applied for intergroup comparison. For health animal-based indicators at group level, the prevalence of each indicator was calculated on total number of goats and at farm level, and the significant difference was determined by Chi-square test. Regarding the human-animal relationship indicator, Familiar Human Approach Test (FHAT), significant difference was measured by Mann-Whitney testin which the flight distance in meters (dependent variable) was evaluated according to S and E farms (independent variable).For resource animal-based indicators, qualitative indicators with ordinal variables as cleanliness of drinkers and facilities were analyzed with Mann-Whitney test. Others resource-based parameters were determined by Chi-square test.

    For animal-based indicators at individual level, the prevalence of each indicator was calculated on total number of goats and at farm level. Significant difference related to Body Condition Score (BCS), a qualitative ordinal variable, was calculated with Mann-Whitney test. For animal-based parameters, the prevalence of each indicator was calculated on total number of goats and at farm level, and the significant difference was determined by Chi-square test. Fisher’s exact test was used, instead of Chi-square test, every time that the number of cells on 2X2 contingency table was below five. Significance was set at P<0.05 to all tests.

    RESULTS AND DISCUSSION:

    At the first welfare level, 16 groups were evaluated (Table 1). 383 meat goat does were evaluated at pen/fenced field level, with 119 on S farms and 264 on E farms. S farms had a higher mean number of animals (mean±SD:101±143) than E farms (mean±SD: 26±14). Mean values of temperature (T)on farms were 31.96 °C (min-max: 29.0 - 34.7 °C) and 34.25 °C (min-max: 31.40 - 36.72 °C) during morning (07:00h - 12:00 h) and afternoon (13:00h - 16:00h), respectively. Mean values of relative humidity of air (RH) on farms were 53.41% (min-max: 43.76 - 68.17%) and 40.96% (min-max: 34.22 - 51.31%), during morning and afternoon, respectively. There was significant difference between assessments started in morning compared to afternoon in relation to relative humidity (P=0.008) but not to temperature (P=0.05). Therefore, for the indicator heat stress, the time of the assessment on farms may have had some influence over the result. Along with temperature, another factor that impacts animal welfare and productivity is RH (SILANIKOVE, 2000). Although, low RH rates promote more efficiently evaporation mechanisms, they can also cause irritation on mucous membrane and respiratory problems (FAO & INPhO, 1998; SILANIKOVE, 2000). In our study in the afternoon, there were evaluations on E farms with RH below 40% (Farms 08, 11, 12 and 15), and the adequate range are between 40 and 80% (FAO & INPhO, 1998).

    Health-based indicators on goats in S and E farms are showed on Table 4. Oblivion goats were observed more frequently on S than on E farms. Goats are gregarious animals that only isolate themselves in parturition (LICKLITER, 1985) or sickness (BATTINI et al., 2014). Due to the fact that animals kept in semi-intensive systems had greater contact with humans, e.g. during feeding with concentrate, the authors expected a lower occurrence of this indicator on S farms. Therefore, although few animals presented this indicator per farm, there is a need for greater inspection of all animals to identify isolated ones and search for a diagnosis that assists in maintaining individual and herd health.

    Thumbnail
    Table 4
    Prevalence of animal health-based indicators on all assessed goats in the six groups (n=119) from S farms and on ten groups (n=264) from E farms, during the first level of welfare assessment, in Ceará, Brazil.

    Thermal stress was only observed on E farms (Table 4). On three E farms, ambient temperature was above 34 ºC, a critical temperature according to Battini et al (2016), causing heat stress on goats. In our study, meat goat does, in general, spent all day at unfenced pasture in Ceará, so it is important to provide adequate water sources in specific points outside facilities (NEW ZEALAND GOVERNMENT, 2018). However, it is important to note that thermal stress assessment in our study occurred approximately 15-20 minutes after goats were set up in the facility in mostly E farms, after being at pasture (including the three farms with panting animals, Table 4). Since goats are adapted to hot climates (SILANIKOVE, 2000), it is possible that thermal stress behavior observed on goats where not caused by a high temperature, but because some individuals may have become physically fatigued during the journey and did not have enough time to recover. It is necessary to investigate whether there is a greater need for a rest time after arriving from the pasture for a thermal stress assessment.

    High prevalence of goats with poor hair condition in S and E farms (Table 4) could be due to pathologies or diseases on animals (BERG et al., 2009). On the other hand low incidence of lameness in goats in this study could be due to inexistence of several problems that cause this condition as foot pathologies, e.g. infectious foot rot, and infectious and non-infectious diseases (PUGH, 2002). Overgrown hooves are an important predisposing factor to lameness in goats (EZE, 2002; CHRISTODOULOPOULOS, 2009). However, most goats in this study have contact with bare soil due to the breeding system (extensive in E farms) or the pen/fenced field where they live. In the semiarid region of Brazilian Northeast, the main types of soils reported are chromic luvisols, being little depth and containing stones on their surface (ALMEIDA et al., 2020) which can promote natural abrasion on the hooves, thus preventing lameness on goats.

    Regarding to Human-Animal Relationship (HAR) indicator, FHAT, values of E farms 13 and 14 were removed because it was not possible to evaluate on their current facility. This occurred because goats were already on pasture when the evaluator arrived, and for management reasons on farms, it was not possible to relocate the animals in their installation. Flight distance measured by FHAT showed mean values of 133.1 cm (min-max: 0 - 345 cm) and 124.1 cm (min-max: 57 - 239 cm) on S and E farms, respectively. There was no statistical difference (P=0.473) between S and E farms, and flight distance was zero in only one S group (farm 04) and none goat sought voluntary human contact. Flight behavior occurred in farmed species in situations of fear or anxiety probably due to negative previous experiences as restraint practices for deworming or vaccination (WAIBLINGER et al., 2006). Positive interactions are associated with high confidence levels in human beings and low fear reactions, e. g. regular gentle handling may provide a more friendly environment in aversive situations (WAIBLINGER et al., 2006). This interaction is recommended in the management of meat goat does to improve HAR and their welfare.

    Results related to some resource-based indicators are showed in Table 5. Due to a methodological error, stocking density was not assessed on one S farms (Farm 01) and two E farms (14 and 15). All farms evaluated were classified as good considering stocking density (≥ 2m2). An adequate facility promotes a better relationship between animals and stock people due to optimization of management and diseases control on daily work, as well as protection for animals (SILVA et al., 2010).

    Thumbnail
    Table 5
    Characterization of three variables of resource-based indicators on S (n=5) and E farms (n=10) in Ceará, Brazil.

    All animals had water availability and drinkers working properly. There was a significant difference for type of drinkers (P=0.001). On farms with water only in buckets (Table 5), it is possible that goat does suffered from thirsty during day time, especially on E farms, since animals were released in Caatinga for at least 10h and during dry periods the access to water points supply is lower (ARAÚJO et al., 2010). Likewise, large amount of farms with dirty or partially dirty drinkers (Table 5), both on S and E farms, was alarming. However, the extended dry period that is affecting Ceará since 2010 (MONITOR DE SECAS, 2016) increased the difficulty to access good quality water, being one of the most relevant factors for the data reported.

    Access to shadow was provided to animals on all farms, and access to shelter was observed only on three S farms. There was significant difference for access to shelter (P=0.036), with S farms presenting access to shelter more frequently than E farms. New Zealand Government (2018) cited access to shelter as an important indicator due to several reasons: protection against rain, heat and wind, isolation during kidding period or hiding goat kids, and reduction of health and welfare problems as thermal stress. In semiarid regions, full protection against wind can be difficult to achieve with adequate thermal conditions to goats due to the hot climate during almost all year (ARAÚJO, 2011). This could explain the absence of shelters on E farms (100%) and on S farms (50%). Suitable and cheaper shelters should be implemented on northeast farms.

    As for facilities for goats, it was identified two types: goat houses and rustic facilities. Goat houses refer to a more sophisticated facility, with internal divisions and presence of feeders, drinkers, salt shakers, ripped or cemented floor, and roof; rustic facilities indicated a place where there is no internal divisions, may or may not have feeders, and is usually done with bare soil (ALENCAR et al., 2010). In total, only three S farms had goat houses and all the others S and E farms had rustic facilities. There was significant difference for type of facility (P=0.008) comparing S and E farms. This result is only descriptive because it is not possible to infer that the degree of welfare of meat goat does have been influenced by the type of facility. Future studies should assess the degree of welfare of meat goat does with a focus on the impact of different types of facilities on the level of welfare of these animals.

    Cleanliness of facilities was proposed by authors with the intention to verify if it was feasible (Figure 1). S and E farms were classified, respectively, as dirty (40%, 70%), partially dirty (40%, 10%), and clean (20%, 20%). This situation is probably linked with results regarding frequency of cleanliness. Dirty facilities on E farms were cleaned each fifteen days or more, showing an inadequate farm management. However, there were some controversial results. For instance, on E farms considered clean, facilities were cleaned four times a year (Farm 09) or every fifteen days (Farm 15). On one E farm considered partially dirty, frequency of cleaning occurred every three days (Farm 15), and on the S farm partially dirty, it occurred every two months (Farm 02). Another factor that may influence these two parameters is the type of floor. Bare soil was the type of floor presented on two S farms and on all E farms. Cement with bare soil was prevalent on two S farms. In order to promote a more suitable environment for animals, aiming good health and comfort, the authors indicated that cleaning should be performed because wet and muddy grounds are predisposing factors for lameness (EFSA, 2014).Further studies of the influence of type of floor on the cleaning of facilities should be conducted.

    Figure 1
    Evaluation regarding the indicator cleanliness of facilities. A) Dirty facility. B) Partially dirty facility. C) Clean facility. Fonte: Luana Oliveira Leite.

    At individual level, 344 meat goat does were evaluated, with 151 from S farms and 193 from E farms. In relation to the individual assessment, regarding BCS, results are provided with the number of goats followed by total percentage (%) comparing S and E farms, respectively. Categories were very thin (n=28; 18.54% and n=28; 14.50%), thin (n=58; 38.41% and n=68; 35.23%), adequate (n=50; 33.11% and n=72; 37.30%), fat (n=9; 5.96% and n=21; 10.88%) and very fat (n=6; 3.67% and n=4; 2.07%). There was no significant difference between S and E farms related to BCS (P=0.157). This result surprised the authors, as it was expected that goats that received supplemental food on S farms would present a more adequate score than animals on E farms that only had access to Caatinga pasture. Similar results in both production systems probably occurred because there were goats in S farms in different physiological stages, as lactation, gestation and growing, and the concentrated feeding provided for them was not adequate on a nutritional point of view to ensure a good body condition score for all goats (COSTA et al., 2008).

    Animal-based parameters are depicted on Table 6. Occurrence of animals with soft feces on both E and S farms showed that this evaluation is more accurate when performed individually than in group (Table 4). Presence of animals with dry feces on both sides of tail indicated that goats had diarrhea, possibly due to gastrointestinal helminthes, common and serious threats for small ruminants, that cause low productivity, morbidity and mortality on animals (SHARMA et al., 2020). Occurrence of abscess could be due to infectious diseases, as Caseous Lymphadenitis (SMITH & SHERMAN, 2009) or improper management of vaccination being a probable cause of more animals with abscesses on S farms. In humans, formation of abscess was related to complications after intramuscular injections due to incorrect use of the technique at the time of application, use of small needles and introduction of pathogens by needles (CASSIANI & RANGEL, 1999). This could be solved with adequate training of stockpeople.

    Thumbnail
    Table 6
    Prevalence of six animal-based indicators on goats individually assessed on five S farms (n=151) and on ten E farms (n=193).

    Lower levels of ocular discharge was reported in dairy goats (6%) on UK farms (ANZUINO et al., 2010) when compared to results of our study. In Brazilian Northeast, keratoconjunctivitis was also reported on farms in Ceará-BR (29.1%) (PINHEIRO et al., 2000) and Paraíba-BR (38.2%) (SANTOS et al., 2011). Excessively dusty supplementary feeds should not be provided for goats (NEW ZEALAND GOVERNMENT, 2018), which may be responsible for the higher incidence of ocular discharge on S farms during dry season. Occurrence of pneumonia in goats on farms in Ceará-BR (44.9%) were related to rainy season (PINHEIRO et al., 2000). In the present study, only one goat on S farm presented persistent coughing probably due to the dust from the food; but monitoring and evaluation are required. Observation of vulvar discharge (Table 6) could berelated to pathologies associated with reproductive organs as caprine herpes virus (PUGH, 2002). As this indicator was not presented neither in the AWIN for goats (AWIN GOAT, 2015) or for sheep (AWIN SHEEP, 2015), further research regarding the vulvar discharge indicator should be carried out in order to observe the reliability and feasibility of this parameter.

    Results of presence of minor and major lesion without myiasis related to each variable of Lesions (L) were provided with the number of goats followed by total percentage (%) on animals on S and E farms, respectively. Minor lesions were observed on ears (n=16; 10.59% and n=17; 8.80%), neck (n=3; 1.98% and n=1; 0.51%) and body (n=3; 1.98% and n=4; 2.07%). Minor lesions in eyes (n=1; 0.51%) and in face/muzzle (n=3; 1.55%) were observed only on E farms. Major lesions was observed in ears (n=2; 1.32% and n=62; 32.12%), neck (n=2; 1.32% and n=2; 1.03%) and body (n=1; 1.06% and n=1; 0.51%). There was significant difference (P=0.001) in major lesions related to ears, being more frequent on goats from E farms (Figure 2). This practice is used in order to identify animals from a herd; however, compared to other techniques as tattoos and ear tags, it not allows individual identification; and consequently, the record of vaccination date, diseases and deliveries are not done (ALENCAR et al., 2010). This technique is usually performed with knives without anesthesia or pain relief after the procedure. It is a form of mutilation of the animal. According to New Zealand Government (2018), ears of goats are very sensitive and care should be provided during identification procedure to avoid damage on cartilage ridges and blood vessels. Although, application of ear cuts in goats was probably due to cultural heritage, education of farmers regarding animal sentience are fundamental to change this reality.

    Figure 2
    Different ear cuts in meat goat does performed on E farms in Ceará, Brazil. Fonte: Fabiana de Orte Stamm.

    Lesions in head and body could be due to traumas, skin damage and hair losses (ANZUINO et al., 2010). Stock people from northeast reported barbed wire type of fence as an important cause of injuries in goats (BRITO et al., 2005). Barbed wire were presented on some of the evaluated farms, especially in E farms. There was no minor or major lesions in udder and teats of goats as well as there was no presence lesions with myiasis on S and E farms. However injuries in udder and teats were not reported in this study, alterations in teats and/or milk occurred on farms (n=112; 76.7%) in Pernambuco-BR (ALENCAR et al., 2010), being important to be alert to this type of lesion.

    During the application of this welfare protocol in meat goat does, the authors made suggestions regarding the use of some indicators:

    1) Cleanliness of facilities may be a good indicator, but more studies need to be performed to confirm its validity and reliability;

    2) Assessments in Ceará and in semiarid regions must be applied on both rainy and dry seasons due to differences on edaphoclimatic conditions observed in these two periods;

    3) Leg injuries, especially in knees, may be used in the assessment of the welfare in meat goat does;

    4) Queuing at feeding may be used in the assessment of the welfare in meat goat does when animals have part or all of their food intake in the trough. This was not the case for most of the animals evaluated on this study;

    5) Studies related to the importance of each indicator should be carried out, aiming the classification of farms regarding quality of life of the animals, and facilitating the guidance of producers for the resolution of the most relevant findings.

    CONCLUSION:

    Most indicators selected in this protocol were simple and practical to use on-farm, probably due to their applicability on dairy goats and sheep. The assessment time for each farm ranged from 1 to 3 hours. It is possible that time will increase on farms with a greater number of animals. Due to different values of ambient variables, it is recommended to perform all evaluations during the afternoon. At group level, oblivion and thermal stress were the only indicators that differed between both groups, being, respectively, more frequently observed on goats from S and E farms. At individual level, the main findings were the high occurrence of abscess, ocular discharge and lesions. Similarities between results showed that farmers in both production systems faced problems due to heat stress, lack of forage, and health issues. However, producers from S farms seems to have a better financial situation and are able to provide a better living condition to the goats under their care.

    In order to identify the main problems affecting the welfare degree of meat goat does, the authors recommend the application of this protocol on different farms in semiarid regions, being the first step towards raising goats more aware of the challenges faced on each farm. After the assessments, it is fundamental to pass the results to the producers and encourage their education aiming to promote a management of meat goat does that integrate animal welfare practices.

    ACKNOWLEDGEMENT

    This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001. We would also like to thank the producers and handlers who made themselves available to assist us during the research.

    REFERENCES

    • CR-2019-0745.R2

    BIOETHICS AND BIOSSECURITY COMMITTEE APPROVAL

    • This study was approved by Ethics Committee of Federal University of Paraná, protocol number 029/2016.

    Publication Dates

    • Publication in this collection
      28 Aug 2020
    • Date of issue
      2020

    History

    • Received
      27 Sept 2019
    • Accepted
      07 July 2020
    • Reviewed
      24 July 2020
    Creative Common - by 4.0
    This is an open-access article distributed under the terms of the Creative Commons Attribution License
    vertical_align_top file_download show_chart
    location_on
    Universidade Federal de Santa Maria Universidade Federal de Santa Maria, Centro de Ciências Rurais , 97105-900 Santa Maria RS Brazil , Tel.: +55 55 3220-8698 , Fax: +55 55 3220-8695 - Santa Maria - RS - Brazil
    E-mail: cienciarural@mail.ufsm.br
    rss_feed Acompanhe os números deste periódico no seu leitor de RSS
    Acessibilidade / Reportar erro