Breeding Conditions Research Articles

Evaluation of laying hen breeding conditions on the farm and egg quality in the cage and cage-free systems in the period after the peak of laying

The study aimed to examine laying hens in the cage and cage-free breeding systems, the quality of table eggs and energy consumption in the hall after the peak of laying. In the research, the following were investigated and statistically evaluated welfare of laying hens Bovans Brown was monitored in three different rearing systems based on resources and animals. The research was designed into the post-peak laying period, at the age of laying hens from 34 to 47 weeks and a rearing system of enriched cages on deep litter and in aviaries. Statistical analyses of the measured data of the established indicators were performed with the SAS program package, version 8.2, for statistical characteristics, significance, and correlation relations. The proportion of laying hens dying was lower in aviaries compared to cages and on deep litter (p ≤0.05); in cages and on deep litter was comparable (p ˃0.05). The weight of laying hens was comparable (p ˃0.05). Feed consumption per hen, day, and egg was highest on deep litter (p ≤0.05). The proportion of eggs with a cracked shell and contaminated with dropping was highest on litter (p ≤0.05). Energy consumption in the hall expressed per layer and day was comparable in all three breeding systems (p ≤0.05). Among some selected indicators of laying hen welfare, egg quality and energy consumption in the hall during breeding and correlation relations (p ≤0.05) were statistically significant within individual breeding systems. The question of laying hen welfare and improving cage-free systems because of the adopted legislation banning breeding in a cage system requires further research to adopt best practices regarding resource-based, management- and animal-based parameters. Based on the results about welfare conditions, including energy consumption in halls and egg quality, it is an open question for comprehensive, interdisciplinary research.

Morphology of the blood of dairy goats in the summer

In order to evaluate the health of animals, clinical and hematological indicators of various breeds of goats are being increasingly studied. The purpose of the research was to carry out a comparative evaluation of some morphological indicators of blood in dairy goats in the summer period. A comparative assessment of the morphological parameters of the blood of goats of Saanen, Czech and Gorky breeds during the summer period of housing under the conditions of the Altai Territory has been presented in the article, in order to determine the functional dynamics of the vital activity of the organism. Regardless of breed the season of the year has a signifi cant impact on changes in metabolism: the number of erythrocytes, leukocytes, hemoglobin content, value of hematocrit and the total amount of circulating blood in goats. Analysis of the parameters of erythrocytes of goats of diff erent breeds in the studied groups showed that the maximum values were in the goats of Saanen breed – 11,89±0,89 ×1012/l, in comparison with the goats of Czech and Gorky breeds – 9,03±1,32 and 10,36±2,03 ×1012/l, respectively. The average volume of erythrocytes of the studied goats was 15,73±1,19 fl in the Gorky breed, which was more than in goats of Saanen (14,63±0,55 fl ) and Czech breeds (14,70±0,30 fl ) by 7,52 and 7,01 %, respectively. The hemoglobin in the studied goats of Czech breed was below the normal limit by 7,9 %. The average hemoglobin content in the erythrocyte in the studied breeds of dairy goats ranged from 8,13±0,38 p/g (Czech breed) to 8,93±0,87 p/g (Gorky breed), which slightly exceeded the upper limit of the norm. The highest hematological indicators were observed in lactating goats of Saanen breed, this causes a greater adaptability of this breed to breeding conditions in the Altai Territory.

An Automated Hardware-Software Module Monitoring Acheta Domesticus Population at Breeding Facilities

The growing population on planet Earth and the deteriorating environment are leading humanity to a swift depletion of resources. And if it is possible to reduce the use of some, it is impossible to eliminate, or even decrease the consumption of protein. Thus, an alternative solution needs to be found. For the past several decades scholars have suggested to breeding crickets as an alternative source of protein. Numerous studies have been made, which resulted in a simple description of the process and a manual of how to establish a breeding cricket farm. However, the fluctuations in breeding conditions stemming from the lack of automation in this sphere, are a hazard to the safe growth and development of the cricket breeding stock. This paper focuses on the developed prototype of a video monitoring equipment developed using machine learning technologies aiming to help identifying hazardous conditions based on the training received in the process of the experiment and numerous tests. The prototype has shown a 70% accuracy rate, yet is capable of determining when the crickets are subjected to various stressors, namely water, nutrition, thermal and methane. Via observing the cricket population, the prototype is learning to alert the breeder as to the potential danger, thereby preserving the cricket population, and increasing the chances of a future mass production of protein from crickets.

Good times bad times — Unfavorable breeding conditions, more than divorce, lead to increased parental effort and reduced physiological condition of northern gannets

Decreased productivity in long-lived bird species is linked to prey depletion in marine ecosystems. Seabirds, however, exhibit behavioral flexibility at individual level to prevent this outcome. One such strategy to alleviate any impact on fitness would be to divorce from their partners. Although changing mates and increasing foraging effort have been shown to increase or maintain reproductive success, how the behavioral flexibility affects fundamental physiological parameters remains to be elucidated. Here, we compared physiological components (nutritional status, muscle damage and oxidative stress) of northern gannets (Morus bassanus) in relation to their partnership status and foraging effort. Specifically, we used a cross-sectional data set (at the population level) of three contrasted years to compare retained and changed mates. We predicted that mate change is a stressful event with impacts on health condition and those effects are higher during unfavorable years with food depletion. Our study showed that gannets changing mate increase parental effort only during years of low food abundance, with consequences on health condition (increased body mass loss, higher protein catabolism and higher oxidative damage during chick rearing period). Ultimately, our study suggests that partnership decision is not likely to reduce the long-term quality and the fitness of parents. Reproduction during harsh conditions would however likely be one of the primary causes of individual quality loss and fitness decline in this long-lived bird species.

Can fish scales be a potential source of pathogenic microorganisms for human health

Abstract: Resistance of fish to diseases in natural conditions is much higher than in artificial breeding conditions. The appearance of pathogenic bacterial flora in fish in combination with dangerous parasites is the result of a biocenotic imbalance. One of the factors causing fish diseases are abiotic factors. Human interference in fish farming (e.g. feeding, fertilizing, aeration) sometimes also disturbs this balance. Decaying food and plant debris promote putrefactive processes and the creation of favorable conditions for pathogenic microorganisms including bacteria, viruses, fungi and also specific protozoa that threaten fish health and often lead to their sleep. Being in the natural environment, fish carry diseases between themselves and other organisms living in the aquatic environment, such as snails, crayfish, etc. Catching from natural conditions to artificial conditions for culinary and demonstration purposes (domestic aquariums or in zoos) can cause many dangerous zoonoses for humans. The review of the work discusses the main fish diseases induced by bacterial, fungal and viral pathogens found on fish scales that can cause zoonotic diseases in humans. Therefore, their knowledge of the scales, their color, shape and stiffness may indicate specific fish diseases caused by the pathogenic microorganisms described in this paper. The most frequently mentioned pathogenic and potentially pathogenic bacterial agents isolated from fish include: mycobacteria (Mycobacterium spp.), streptococci (Streptococcus iniae), vibrio vulnificus (Vibrio spp.), Aeromonas spp., Salmonella spp., Listeria monocytogenes, Clostridium botulinum and many more. Careless aquarists who do not follow certain hygiene rules may become victims of opportunistic bacteria. The aim of the article is to present the current state of knowledge regarding fish diseases and their health implications for humans. Typically, ichthyosis infections are most common among aquarists and swimming pool users. Knowledge about human infections caused by fish scales is insufficient, diagnostic procedures are late and often ineffective, and therapy is long and difficult. Tropical fish placed on the market in an aquarium should have a certificate that they are free from mycobacteria and other potential diseases that threaten human health and life. Therefore, this study clarifies these issues

An acoustic detection dataset of birds (Aves) in montane forests using a deep learning approach.

Long-term monitoring is needed to understand the statuses and trends of wildlife communities in montane forests, such as those in Yushan National Park (YSNP), Taiwan. Integrating passive acoustic monitoring (PAM) with an automated sound identifier, a long-term biodiversity monitoring project containing six PAM stations, was launched in YSNP in January 2020 and is currently ongoing. SILIC, an automated wildlife sound identification model, was used to extract sounds and species information from the recordings collected. Animal vocal activity can reflect their breeding status, behaviour, population, movement and distribution, which may be affected by factors, such as habitat loss, climate change and human activity. This massive amount of wildlife vocalisation dataset can provide essential information for the National Park's headquarters on resource management and decision-making. It can also be valuable for those studying the effects of climate change on animal distribution and behaviour at a regional or global scale. To our best knowledge, this is the first open-access dataset with species occurrence data extracted from sounds in soundscape recordings by artificial intelligence. We obtained seven bird species for the first release, with more bird species and other taxa, such as mammals and frogs, to be updated annually. Raw recordings containing over 1.7 million one-minute recordings collected between the years 2020 and 2021 were analysed and SILIC identified 6,243,820 vocalisations of seven bird species in 439,275 recordings. The automatic detection had a precision of 0.95 and the recall ranged from 0.48 to 0.80. In terms of the balance between precision and recall, we prioritised increasing precision over recall in order to minimise false positive detections. In this dataset, we summarised the count of vocalisations detected per sound class per recording which resulted in 802,670 occurrence records. Unlike data from traditional human observation methods, the number of observations in the Darwin Core "organismQuantity" column refers to the number of vocalisations detected for a specific bird species and cannot be directly linked to the number of individuals.We expect our dataset will be able to help fill the data gaps of fine-scale avian temporal activity patterns in montane forests and contribute to studies concerning the impacts of climate change on montane forest ecosystems on regional or global scales.

Impact of grazing and conservation opportunities for nesting grassland birds in a community pasture

Multiple bird species-at-risk nest on the ground in hayfields and pastures, making nests susceptible to inadvertent destruction from agricultural activity (e.g., trampling by livestock). To better understand the impact of Domestic Cattle (Bos taurus) grazing, we assessed the distribution and breeding status of nesting grassland birds in 2019 and 2020 at the Grey Dufferin Community Pasture, a ~234 ha pasture in southern Ontario, Canada. We estimated there were 86 male Bobolink (Dolichonyx oryzivorus) in the community pasture in 2019 and 100 in 2020 before grazing began; observed abundance decreased by 73% in fields after grazing in 2020. Eastern Meadowlark (Sturnella magna) maintained territories after grazing and fledged young in 67% (n = 21) of territories. Savannah Sparrow (Passerculus sandwichensis) was common across the community pasture before and after grazing occurred. We detected evidence of nesting more frequently in Bobolink and Savannah Sparrow territories in ungrazed than in grazed fields. Our results support previous research indicating nesting Bobolink often disperse from moderately to heavily grazed fields, whereas Eastern Meadowlark and Savannah Sparrow largely remain and renest. Despite the inadvertent negative impacts of cattle stepping or laying on nests and consuming vegetative cover, the community pasture provides areas for successful nesting, with Eastern Meadowlark faring better than Bobolink. Flexibility in the timing and duration of grazing in rotational grazing systems may enable strategic management in target fields (e.g., maintaining enough vegetation for nesting Bobolink). Information about the distribution and abundance of birds can be used to target particular fields for conservation.

Characterizing maternal isolation-induced ultrasonic vocalizations in a gene-environment interaction rat model for autism.

Deficits in social communication and language development belong to the earliest diagnostic criteria of autism spectrum disorders. Of the many risk factors for autism spectrum disorder, the contactin-associated protein-like 2 gene, CNTNAP2, is thought to be important for language development. The present study used a rat model to investigate the potential compounding effects of autism spectrum disorder risk gene mutation and environmental challenges, including breeding conditions or maternal immune activation during pregnancy, on early vocal communication in the offspring. Maternal isolation-induced ultrasonic vocalizations from Cntnap2 wildtype and knockout rats at selected postnatal days were analyzed for their acoustic, temporal and syntax characteristics. Cntnap2 knockout pups from heterozygous breeding showed normal numbers and largely similar temporal structures of ultrasonic vocalizations to wildtype controls, whereas both parameters were affected in homozygously bred knockouts. Homozygous breeding further exacerbated altered pitch and transitioning between call types found in Cntnap2 knockout pups from heterozygous breeding. In contrast, the effect of maternal immune activation on the offspring's vocal communication was confined to call type syntax, but left ultrasonic vocalization acoustic and temporal organization intact. Our results support the "double-hit hypothesis" of autism spectrum disorder risk gene-environment interactions and emphasize that complex features of vocal communication are a useful tool for identifying early autistic-like features in rodent models.

Purinergic signaling during Marek’s disease in chickens

Purinergic receptors (PRs) have been reported as potential therapeutic targets for many viral infections including herpesviruses, which urges the investigation into their role in Marek’s disease (MD), a herpesvirus induced cancer in chickens that is an important pathogen for the poultry industry. MD is caused by MD virus (MDV) that has a similar viral life cycle as human varicella zoster virus in that it is shed from infected epithelial skin cells and enters the host through the respiratory route. In this report, PR responses during natural MDV infection and disease progression was examined in MD-resistant white Leghorns (WL) and MD-susceptible Pure Columbian (PC) chickens during natural infection. Whole lung lavage cells (WLLC) and liver tissue samples were collected from chickens infected but showing no clinical signs of MD (Infected) or presenting with clinical disease (Diseased). RNA was extracted followed by RT-qPCR analysis with gene specific primers against members of the P1, P2X, and P2Y PR families. Differential expression (p < 0.05) was observed in breed and disease conditions. Some PRs showed tissue specific expression (P1A1, P2X1, and P2X6 in WLLC) whereas others responded to MDV infection only in MD-susceptible (PC) chickens (P1A2A, P2X1, P2X5, P2X7). P2Y PRs had differential expression in both chicken lines in response to MDV infection and MD progression. This study is the first to our knowledge to examine PR responses during MDV infection and disease progression. These results suggest PR signaling may an important area of research for MDV replication and MD.

Whole-genome resequencing reveals selection signatures for caviar yield in Russian sturgeon (Acipenser gueldenstaedtii)

Russian sturgeon, Acipenser gueldenstaedtii, an ancient fish, has great economic and nutritional value as a source of caviar. Although significant differences exist in the female reproductive capacity under artificial breeding conditions, genome-wide adaptations to domesticated female reproductive capacity have never been investigated. In this study, we conducted whole-genome resequencing of 35 and 37 individuals from high-fecundity (H) and low-fecundity (L) populations, respectively, with an average sequencing depth of about 10×, resulting in approximately 32.57 million high-quality SNPs for each individual. Weir and Cockerham's FST combined with cross-population composite likelihood ratio (XP-CLR) identified a total of 1268 (56.6 Mb) candidate selection regions, containing 1279 genes. Further GO terms and KEGG pathways functional annotation suggested that 11 genes (TLR4, AKT3, BMPR1B, GDF7, IGF1R, HDAC7, HDAC9, MAP2K4, MAP2K7, PLCB4 and TGFBR2) were essential for caviar yield trait. In general, these candidate genes related to caviar yield identified in this study could contribute to understanding the genetic mechanism of caviar yield of Russian sturgeon and will also be of great significance for genome-assisted breeding of the sturgeons in the future.

Detection and Quantification of Anthracnose Pathogen Colletotrichum fructicola in Cultivated Tea-Oil Camellia Species from Southern China Using a DNA-Based qPCR Assay.

Tea-oil Camellia species as edible-oil producing trees are widely cultivated in southern China. Camellia anthracnose that is mainly caused by Colletotrichum fructicola is a major disease of tea-oil trees. However, rapid detection and precise quantification of C. fructicola in different Camellia species that are crucial for the fundamental study of this pathosystem and effective disease management remain largely unexplored. Here, we developed a sensitive, rapid, and accurate method for quantifying C. fructicola growth in different Camellia species using a quantitative PCR assay. Amplified C. fructicola DNA using ITS-specific primers is relatively compared with the amplification of Camellia oleifera using the TUB gene. We determined that the fungal growth is tightly associated with the disease development in Ca. oleifera following C. fructicola infection in a time-course manner. This assay is highly sensitive, as fungal growth was detected in six different inoculated tea-oil Camellia species without visible disease lesion symptoms. Additionally, this method was validated by quantifying the Camellia anthracnose in orchards that did not show any disease symptoms. This assay enables the rapid, highly sensitive, and precise detection and quantification of C. fructicola growth in different tea-oil Camellia species, which will have a practical application for early diagnosis of anthracnose disease under asymptomatic conditions in Camellia breeding and field and will facilitate the development of tea-oil trees and C. fructicola interaction as a mold system to study woody plant and fungal pathogens interaction.

The methanol extract of Ceiba pentandra reverses monosodium glutamate-induced cardiometabolic syndrome in rats via the regulation of dyslipidemia, inflammation, oxidative stress, and insulin sensitization

The antidiabetic effects of the methanol extract of the stem bark of Ceiba pentandra (Cp) have been demonstrated in various experimental models. Besides, this extract is rich in 8-formyl-7-hydroxy-5-isopropyl-2-methoxy-3-methyl-1,4-naphthaquinone, 2,4,6-Trimethoxyphenol and vavain. However, it remains unknown whether Cp can mitigate cardiometabolic syndrome (CMS). The present study assessed the curative properties of Cp against Monosodium Glutamate (MSG)-induced CMS in rats. Male neonate Wistar rats were intraperitoneally administered with MSG (4 mg/g/day) during the first 5 days of life (postnatal days 2–6). They were kept under standard breeding conditions up to 5 months of age for the development of CMS. Diseased animals were then orally treated with atorvastatin (80 mg/kg/d) or Cp (75 and 150 mg/kg/day) for 28 days during which food intake, body mass, blood pressure, heart rate, glucose, and insulin tolerance were monitored. Plasma and tissues were collected on day 29th to assess the lipid profile, oxidative stress, and inflammatory parameters. The histomorphology of the adipose tissue was also evaluated. Cp significantly (p < 0.001) reduced the obesogenic and lipid profiles, adipocyte size, blood pressure, and oxidative and inflammatory status in MSG-treated rats. Cp also ameliorated glucose (p < 0.05) and insulin sensitivities (p < 0.001) hence, reducing animals' cardiometabolic risk score (p < 0.001). The curative effect of Cp on cardiometabolic syndrome is related to its capacity to reduce oxidative stress, inflammation, dyslipidemia, and increase insulin sensitivity. These results demonstrate the potential of Cp as a good candidate for alternative treatment of CMS.

Multiplicative Mixed-Effects Modelling of Dengue Incidence: An Analysis of the 2019 Outbreak in the Dominican Republic

Dengue is a vector-borne disease that is endemic to several countries, including the Dominican Republic, which has experienced dengue outbreaks for over four decades. With outbreaks growing in incidence in recent years, it is becoming increasingly important to develop better tools to understand drivers of dengue transmission. Such tools are critical for providing timely information to assist healthcare authorities in preparing human, material, and medical resources for outbreaks. Here, we investigate associations between meteorological variables and dengue transmission in the Dominican Republic in 2019, the year in which the country’s largest outbreak to date ocurred. We apply generalized linear mixed modelling with gamma family and log link to model the weekly dengue incidence rate. Because correlations in lags between climate variables and dengue cases exhibited different behaviour among provinces, a backward-type selection method was executed to find a final model with lags in the explanatory variables. We find that in the best models, meteorological conditions such as temperature and rainfall have an impact with a delay of 2–5 weeks in the development of an outbreak, ensuring breeding conditions for mosquitoes.

Need for speed: a breakthrough speed breeding protocol for hemp

Need for speed: a breakthrough speed breeding protocol for hemp

The Northernmost Record of the Least Grebe (Tachybaptus dominicus bangsi) in Baja California

A specimen of the Least Grebe (Tachybaptus dominicus bangsi) from San Francisco de la Sierra, Baja Calfornia Sur, Mexico, collected 6 April 2022, was 36 km north of the oasis of San Ignacio, where the species breeds and site of the previous northernmost records on the peninsula. The bird’s occurrence on a small isolated pond yet coming into breeding condition highlight the species’ opportunism, possibly critical to its survival on the arid Baja California peninsula where freshwater oases suitable for the Least Grebe are few.

An Ethogram of the Reproductive Behaviour of the American Mink (Neovison vison) in Farmed Conditions.

Ethograms can serve as benchmarks against which abnormal animal behaviour can be identified, and then normal behaviour can be restored by appropriately modifying the environment in which an individual resides. The aim of the present study was to create an ethogram of the reproductive behaviour of American mink kept in farmed conditions. The research material consisted of 12 one-year-old male American mink, pearl coloured, selected randomly from among the varieties of coloured mink on the farm, and 60 two-year-old females. The animals participating in the study were grouped into two breeding sets, each consisting of 30 females and 6 males. Reproductive rituals included chasing the female, grasping her neck with the teeth, marking the local area, mounting the partner, and sniffing the neck, anal and genital areas. The copulation times recorded in this study varied greatly, ranging from several minutes to over two hours. The obtained results indicate that the American mink can express some natural reproductive behaviour in breeding conditions, which may also be an indicator of the welfare of these animals.

Serum thymidine kinase 1 activity as a prognostic biomarker in dogs with chemotherapy-treated diffuse large B-cell lymphoma.

Diffuse large B-cell lymphoma (DLBCL) is frequently treated with chemotherapy incorporating cyclophosphamide, doxorubicin, vincristine and prednisone (CHOP), which induces remission in 80% to 95% of cases. However, not all dogs derive meaningful benefit from CHOP, and prognostic factors for dogs with DLBCL are poorly defined. Serum thymidine kinase 1 (TK1) activity, a marker of tumour cell proliferation, has shown promising initial results as a prognostic biomarker in dogs with multicentric lymphomas. The purpose of this study was to determine if baseline serum TK1 activity is associated with clinical outcome in dogs with CHOP-treated DLBCL. Baseline serum TK1 activity was measured in banked sera from 98 dogs with CHOP-treated DLBCL using a commercially available ELISA kit. Data on other potential prognostic factors were abstracted retrospectively from electronic medical records. Multivariable statistical methods were used to identify associations between TK1 and other potential prognostic factors with progression-free survival (PFS) and attainment of complete remission. TK1 activity at baseline was not associated with PFS (p=.299) or attainment of complete remission (p=.910) following CHOP chemotherapy. Of the other prognostic factors analysed, only purebred (vs. mixed breed) status (HR 8.81, 95% CI 1.68-46.30, p=.010), attainment of complete (vs. partial) remission (HR 0.09, 95% CI 0.02-0.49, p=.006), and baseline serum C-reactive protein concentration (HR 1.19, 95% CI 1.07-1.32, p=.001) were independently associated with PFS. Based on these findings, baseline serum TK1 activity does not appear to be a useful prognostic biomarker in dogs with CHOP-treated DLBCL.

The effect of alleles of the ЕАВ-locus on the dairy productivity of red-and-white breed cows

The results of studying the allelofond of 196 cows of red-and-white breed by EAB locus of blood groups in one of the breeding farms of the Republic of Mordovia using immunogenetic monitoring are presented. The studies were carried out in the immunogenetic laboratory of FGBNU VNIIplem according to generally accepted methods. The analysis showed that the most common alleles in the conditions of breeding in the Republic of Mordovia were G2Y2E1'Q' (20.92%), Q'I'' (18.37%) and "-" (11.73%). The highest productivity on average for all lactations (10077 kg of milk) was obtained from cows carrying the Y2 allele, and the highest percentage of fat in milk (4.09%) was obtained from cows with the "-" allele.

Experience in the introduction of scientific, information, technological innovations in the production process of the pig breeding complex

Purpose: assessment of the introduction of innovations in the conditions of a pig -breeding complex.A special role in increasing the profitability of agricultural production is given to the use of digital technologies. The authors organized a local network that provides the collection of information about animals throughout the entire period of their use, as a result of which the database is constantly updated with new information. The problem of the correct organization of the in-line process of reproduction of the herd and the uniform production of young animals of the desired condition was solved by scientists of the Don State Agrarian University using the system of index evaluation of young animals, which is implemented in the ACC program package. The complex of ACC programs allows you to keep records of the presence and condition of breeding and commercial pigs; compile reports on the movement of the herd for a day, month, quarter, year; promptly and comprehensively analyze the productivity of animals, timely detect and eliminate deviations in technological indicators; optimize the reproduction process to reduce the number of sow failures; timely identification of sows not coming to hunt; accounting for abortions, causes of death, production rhythm disturbances; accounting for the quantity and quality of sperm production of boars-producers. All this makes it possible to reduce unproductive technological downtime and reduce losses in the production of final products, identify the causes of rejection, conduct a reliable assessment of the quality of work of insemination technicians, animal care operators, as well as analyze veterinary measures. The use of new methods for assessing the breeding value of animals, index selection based on the use of computer technology creates ample opportunities for further improvement of breeding management systems. The positive experience of step-by–step introduction of breeding methods and comprehensive work on a closed circuit "production - science – IT solutions - production" allows you to increase not only the quantity of products, but also its quality.

Analysis for prioritizing risk status and sustainable utilization of cattle, sheep, and goat breeds in Türkiye

Animal Genetic Resources (AnGR) are a warranty for future unknown conditions and needs. Due to this fact, sustainable use and conservation of AnGR have special importance, and to achieve reliable programs for these goals, the risk status of AnGR should be estimated accurately. The aim of this study was to estimate the risk status for three widely used domesticated livestock species of cattle, sheep, and goat in animal production: 6 cattle, 33 sheep, and 15 goat breeds were included in the analysis. Extinction probability (z) was taken as a criterion for the risk status of each breed. Data collection based on survey realized with 215 farmers, field observations and personal interviews were performed for different provinces between 2014 and 2017. Extinction probabilities estimated were ranged from 0.53 to 0.90 with an average of 0.71 for native cattle breeds. Çine Çaparı sheep and Abaza goat had the highest extinction probabilities of 0.97 and 0.87, respectively, while Kıl goat and İvesi sheep breeds had the lowest probabilities of 0.37 and 0.40, respectively. Present study demonstrated that risk analyses of survey data sets may provide useful information concerning the decision-making on conservation efforts for endangered breeds. It should be monitored risk status for breeds to create efficient conservation investments. Considering the limited resources, it is undeniable that while some breeds continued to protect, some others would be removed from conservation programs. To make this task an appropriate manner extinction probability may be used as a criterion for decision-making.