Tuv Province Research Articles

Prevalence and Health Associations of Meeting the World Health Organization Guidelines for Physical Activity, Sedentary Behavior, and Sleep in Preschool-Aged Children: The SUNRISE Mongolia Pilot and Feasibility Study.

There is a lack of evidence regarding 24-hour movement behaviors of young children from low- and middle-income countries. This study examined Mongolian preschoolers' adherence to the World Health Organization's guidelines for physical activity, sedentary behavior, and sleep; their associations with health indicators, and the feasibility of the SUNRISE International study in Mongolia. Preschool-aged children were recruited from 5 kindergartens in urban and rural areas of Ulaanbaatar city and Tuv province in Mongolia. Physical activity and sedentary behavior were measured by an ActiGraph accelerometer worn for 5 consecutive days. Screen time and sleep were reported by parents. The National Institute of Health and Early Years Toolboxes were used to assess motor skills and executive function, respectively. One hundred and one children participated in the study (mean age = 4.82y, boys = 58), with 88% (n = 89) having complete data for analysis. The proportion of children who met the recommendations for physical activity, sedentary screen time, and sleep was 61%, 23%, and 82%, respectively. Only 7% met all recommendations. Meeting the sleep recommendation individually (P = .032) and in combination with the physical activity recommendation was associated with better gross (P = .019) and fine (P = .042) motor skills. Spending more time in physical activity was positively correlated with motor development. Results confirmed that the SUNRISE study protocol was feasible, age-appropriate, and enjoyable for children. The results of the SUNRISE pilot study will help inform the SUNRISE Mongolia main study and lay the groundwork for future research into children's 24-hour movement behaviors in Mongolia.

MOLECULAR IDENTIFICATION OF THRIPS SPECIES, WHICH INFESTS THE GREENHOUSE VEGETABLES INCLUDING EGGPLANT IN THE CENTRAL AGRARIAN REGION OF MONGOLIA

In Mongolia, the first record of onion thrips was informed in vegetable fields by D. Tsedev (Tsendsuren et al., 1979), since that has no detailed research materials relating to the identification of thrips and the Thysanoptera group observed in different crop fields. In 2017–2019, we have taken the thrips samples from the following areas, which spread on eggplant, cucumber, tomato, paprika, and beans grown in the greenhouses of the Agropark research and training center, the greenhouses of the Bornuur soum in the Tuv province and the Mandal soum of Selenge province and onion field accordingly. The mitochondrial COI gene of selected insect samples has been used for species identification. For the nucleotide sequence of the mitochondrial COI area of the insects, we amplified with universal LCO1490 and HCO2198 primers. We have illustrated the COI gene fragments of thrips samples. For building a phylogenetic tree was constructed using the Neighbor-Joining method. A bootstrap test with 1000 replications was carried out. The evolutionary distances were calculated using Tamura’s three-parameter method. A phylogenetic tree was built for 14 sequences with a total length of 681bp nucleotides. When conducting phylogenetic analysis using the MEGA X program, it was displayed the phylogenetic origin of our samples in all inferred trees is the same as the Chinese species; Thrips tabaci (China – Zhejiang), which registered with MN036455 accession number in the gene bank of NCBI. According to these results, the sampled thrips were collected from various vegetables including eggplants in Mongolia identified as Thrips tabaci and we have registered it in the GenBank of NCBI under OP288232 accession number. Keywords. Eggplant damage, thrips species identification, COI gene, phylogenetic origin, PCR.

Drinking water quality, composition in the southwestern region of Tuv province

This research work was performed within the framework of the project titled “The survey on the drinking water quality of settlement areas of Tuv province, conclusion and recommendation” implemented at the Institute of Geography and Geoecology, MAS in 2021, and some of the research results are summarized in this article. We took totally 16 samples from the water supply wells at the center of 8 soums. Performed by physicochemical, micro-elements, and bacteriological analysis, and determined the chemical composition, quality and pollution parameters and the quality and composition. We determined the quality of underground water was evaluated by calculating the water quality index (WQI). As regards the anions, the first most prominent water types are the Ca-[HCO3] (50%), the second Х-[HCO3] (43.7%), the third Ca-[HCO3-SO4 2- ] (6.3%) and groundwater was dominated by mixed type of water. From the study results, in case of mineralization, groundwater at 50% surveyed locations belongs to fresh, 50% belongs to freshly or relatively high mineralization. In case of hardness, groundwater at 43.7% belongs to softish, 50% belongs to moderately hard and the remaining 6.3% to hard, respectively. According to the analysis of microelements, the uranium concentration (U 33-176 µg/l) was 1.1-5.86 times higher than the drinking water standard, strontium concentration (Sr 2021µg/l) was 21 μg/l more (1 out of 16), and nitrate concentration (NO3 63.0 mg/l) was 1.26 times more (1 out of 16) of the total groundwater samples. Total 11 samples collected from sampling points and the water supply wells covered by the survey does not meet the requirements of Drinking water. Hygienic requirements, and assessment of quality and safety MNS 0900:2018 standard by any or several parameters. Төв аймгийн баруун урд бүсийн ундны усны чанар, найрлага Хураангуй: Хүн ам баталгаат ундны ус хангамжийн үйлчилгээ хүртэж байгаа эсэхийг тогтоох зорилгоор ундны усны чанарын судалгааг аймаг тус бүрээр судалсан. Энэхүү судалгааны нэг болон 2021 онд хэрэгжсэн “Төв аймгийн төв, суурин газрын ундны усны чанарын судалгаа, дүгнэлт, зөвлөмж” гэрээт ажлын хүрээнд 27 сумын худаг уст, цэг хамрагдан физик, химийн үзүүлэлт болон бичил элемент, бактерлогийн шинжилгээг хийж химийн шинж чанар, найрлага, бохирдлыг тодорхойлсон судалгааны үр дүнгээс баруун урд бүсийн 8 сумын нутаг дэвсгэрээс нийт 16 худаг уст, цэгийн нарийвчилсан судалгааны үр дүнд боловсруулалт хийж, чанар найрлагыг тогтоон, газрын доорх усыг усны чанарын индекс (УЧИ-WQI)- ээр үнэлсэн. Судалгааны дүнгээс харахад тус судалгааны талбайд гидрохимийн шинж чанараараа 50% Ca-[HCO3], 45.81% Na-[HCO3], 12.51% Ca-[Mg]-HCO3, 43.7% холимог-[HCO3] найрлагатай ус тархсан байна. Судалгаанд хамрагдсан нийт уст цэгүүд нь эрдэсжилтийн хувьд цэнгэг болон цэнгэгдүү ангилалд хамаарч байгаа бол хатуулгийн хувьд маш зөөлөн, зөөлөн ус байхгүй, нийт уст цэгийн 43.7% нь зөөлөвтөр, 50% нь хатуувтар, 6.3% нь хатуу устай ангилалд тус тус хамаарч байна. Судалгаанд хамрагдсан уст цэгүүдээс 3 уст цэгт ураны (U 33-176 мкг/л) агууламж ундны усны стандартаас 1.1-5.86 дахин их, хүнцэл (As 36.7 мкг/л) 1 худгийн усанд 5.86 дахин их, стронций (Sr 2021 мкг/л) 1 худгийн усанд 21 мкг/л ээр их, нитратын ион ( NO3 - 63.0 мг/л) 1 уст цэгт 1.26 дахин их тус тус илэрсэн байна. Шинжилгээний дүнгээр нийт уст цэгийн 11 нь буюу 68.75% нь аль нэг юм уу хэд хэдэн үзүүлэлтээрээ “Хүрээлэн буй орчин, эрүүл мэндийг хамгаалах аюулгүй байдал. Ундны ус эрүүл ахуйн шаардлага, чанар, аюулгүй байдлын үнэлгээ” MNS 0900:2018 ундны усны стандартын шаардлага хангахгүй байна. Түлхүүр үг: газрын доорх ус, усны чанарын индекс, хатуулаг, хүнцэл, уран.

Results of the research of higher fungi in Khan Khentey, Mongolia

There were recorded currently 631 species of higher fungi belonging to 237 genera, 88 families, 31 orders of 2 phyla in Mongolia. In 2008-2021, we collected approximately 600 samples of higher fungi in Khentey region including Khuder, Eruu (Minj), Mandal (Khonin nuga) of Selenge province; Shariingol of Darkhan-Uul province; Mungunmorit of Tuv province and Batshireet, Umnudelger of Khentii province. As a result of study, there were recorded 479 species of higher fungi belonging to 201 genera, 79 families, 27 orders of 2 phyla in Khentey mountain taiga region, and it covers 75.9 percent of all higher fungi species distributed in Mongolia. In addition, we were newly added 12 species of higher fungi in species composition of Khentey mountain taiga region; moreover, it was also new to Mongolian mycoflora since 2000. Among them 4 species were referred to families Mycenaceae, Pleurotaceae and one new species belongs to each of the following families Agaricaceae, Auriscalpiaceae, Russulaceae, Suillaceae, Entolomataceae, Hygrophoraceae, Boletace-ae, Tricholomataceae.

Root Biomass Distribution of Populus sibirica and Ulmus pumila Afforestation Stands Is Affected by Watering Regimes and Fertilization in the Mongolian Semi-arid Steppe.

Desertification of the semi-arid steppe of Mongolia is advancing very rapidly, motivating afforestation efforts. The “Green Belt” joint project (Government of Mongolia and Republic of Korea), which aims to mitigate soil degradation and develop agroforestry activities through the planting of a forest shelterbelt, is one such response. In these plantations, tree growth has been supported by different watering regimes (no watering, 2, 4, and 8 L h−1) and by two types of soil fertilization (NPK and Compost). The present paper analyses the effect of these techniques on soil chemistry and root biomass partitioning of Populus sibirica (Horth ex Tausch) and Ulmus pumila (L.) tree species. In July 2019, at the plantation site in Lun Soum, Tuv province (Mongolia), six trees were excavated by hand in each treatment, the root system was divided into taproot and five diameter classes (0–2; 2–5; 5–10; 10–20; > 20 mm), and the biomass was measured. Soil organic matter, macronutrients, and pH were also measured. The addition of fertilizers in the long-term did not enhance the soil chemical properties. The build-up of root biomass in both species correlated positively with increasing levels of the watering, while the application of fertilizers led to root growth suppression. For most of the root classes and both species, an irrigation level of 4 L h−1 was sufficient to yield the highest biomass and could be recommended for afforesting the semi-arid steppe of Mongolia. The root biomass of P. sibirica was more dependent on the watering regimes and of U. pumila was more negatively influenced by the application of fertilizers, indicating that U. pumila, due to the its lower water need, could be suitable for afforesting semi-arid environments. Our experiments suggest that afforestation practices in the semi-arid steppe of Mongolia should be supported by a prior analysis of plants' needs, soil type, dose, and type of fertilizers to be applied. Knowledge of the root response to the supporting techniques is necessary for choosing the best one for the plantation and, thus, to develop a sustainable and successful strategy to restore these degraded lands.

A GIS-BASED MULTI-CRITERIA ANALYSIS ON CROPLAND SUITABILITY IN BORNUUR SOUM, MONGOLIA

Abstract. Agriculture is one of the most critical sectors of the Mongolian economy. In Mongolia, land degradation is increasing in the cropland region, especially in a cultivated area. The country has challenges to identify new croplands with sufficient capacity for cultivation, especially for local decision-makers. GIS applications tremendously help science in making land assessments. This study was carried out in Bornuur soum, Mongolia. The goal of this study to estimate that best suitable area for supporting crop production in Bornuur soum, using a GIS-based multi-criteria analysis (MCA) and remote sensing. GIS-based multi-criteria analysis (MCA) has been widely used in land suitability analyses in many countries. In this research, the GIS-based spatial MCA among the Analytical Hierarchy Process (AHP) method has employed. The approach was enhanced for each criterion which as soil, topography and vegetation. The opinions of agronomist experts and a literature review helped in identifying criteria (soil data, topography, water and vegetation data) that are necessary to determine areas suitable for crops. The detailed cropland suitability maps indicate that 46.12 % is highly suitable for cropland, 34.68 % is moderate suitable, 13.64 % is marginal suitable and 5.56 % is not suitable. The MCA and AHP tools play an essential role in the multi-criteria analysis. Therefore, the results of these methods allow us to estimate an appropriate area for cultivation in Bornuur soum, Tuv province. The crop suitability method implies significant decisions on different levels and the result will be used for cropland management plan to make a decision. It is an integral role in agricultural management and land evaluation. Future research should further develop this method by including socio-economic (potential citizens for agriculture, current crop growth, water resource, etc.) and environmental variables (rainfall, vegetation types, permafrost distribution, etc.) to obtain specific results. However, it could be also be applied for a single crop type (mainly barley, wheat and potato) in Mongolia.

MONITORING WHEAT CROP GROWTH PARAMETERS USING TIME SERIES SENTINEL-1 AND SENTINEL-2 DATA FOR AGRICULTURAL APPLICATION IN MONGOLIA

Abstract. Wheat is the most important food crop in Mongolia, most of the croplands are utilizing for wheat cultivating area in the central northern region of Mongolia. The Mongolian government has several policies on the agricultural sector with wheat production in the study region has been intensified to meet people’s food demands and economic development. Monitoring wheat-growing areas is thus important to developing strategies for food security in the region. In the present study, we aimed to develop an agricultural application method using remote sensing data. Sentinel-1 SAR and Sentinel-2 MSI analysis of time series data were carried out to monitor the wheat crop growth parameters. Time-series images were acquired during May 2019–September 2019 at different growth stages in Bornuur soum, Tuv province of Mongolia. The wheat crop parameters, i.e. normalized difference vegetation index, vegetation water content, backscatter value of VV, VH channels were estimated using remote sensing data with reference data as cadastre polygons of current cropland area. The results showed that provide timely and valuable information for agricultural production, management and policy-making. The agricultural application method will help to agriculture management and monitoring include crop identification and cropland mapping, crop growth monitoring, inversion of key biophysical, biochemical and environmental parameters, crop damage/disaster monitoring, precision agriculture, etc.

Morphological and molecular identification of Beauveria bassiana from agricultural soils

The soil environment is an important reservoir for a wide variety of entomopathogenic fungi, which can significantly contribute to the control of insect populations, especially on agricultural pests. Comparison of entomopathogens with conventional chemical pesticides, there are advantages in using biological control agents, such as human safety and other non-target organisms; pesticide residues are minimized in food and biodiversity increased in managed ecosystems. The main objective of this study was to detect and identify the entomopathogenic fungi from agriculture soils based on morphological and molecular identification. Total of 115 soil samples were collected in spring (before sowing) from different crop fields in “Unjin” and “Nart” Research and Education Centers of the university, which are located in Bornuur sum, Tuv Province from 2016 to 2018. Isolation of entomopathogenic fungus, Вeauveria bassiana was isolated using Dilution plate method in Peptone Dextrose Agar Yeast. Based on microscopic observation, hyphae branched and formed conidiogene cells, and single cell В. bassiana conidium was round and tend to oval with hyaline color. Colonies on PDAY were white to pale yellow and sometimes red pigments in reverse. Using PCR method with primer specific for identification В. bassiana, molecular analysis confirmed that all six isolates has same size of band which, appeared on agarose gel.

SOIL MOISTURE ANALYSIS USING MULTISPECTRAL DATA IN NORTH CENTRAL PART OF MONGOLIA

Abstract. Soil moisture (SM) content is one of the most important environmental variables in relation to land surface climatology, hydrology, and ecology. Long-term SM data-sets on a regional scale provide reasonable information about climate change and global warming specific regions. The aim of this research work is to develop an integrated methodology for SM of kastanozems soils using multispectral satellite data. The study area is Tuv (48°40′30″N and 106°15′55″E) province in the forest steppe zones in Mongolia. In addition to this, land surface temperature (LST) and normalized difference vegetation index (NDVI) from Landsat satellite images were integrated for the assessment. Furthermore, we used a digital elevation model (DEM) from ASTER satellite image with 30-m resolution. Aspect and slope maps were derived from this DEM. The soil moisture index (SMI) was obtained using spectral information from Landsat satellite data. We used regression analysis to develop the model. The model shows how SMI from satellite depends on LST, NDVI, DEM, Slope, and Aspect in the agricultural area. The results of the model were correlated with the ground SM data in Tuv province. The results indicate that there is a good agreement between output SM and SM of ground truth for agricultural area. Further research is focused on moisture mapping for different natural zones in Mongolia. The innovative part of this research is to estimate SM using drivers which are vegetation, land surface temperature, elevation, aspect, and slope in the forested steppe area. This integrative methodology can be applied for different regions with forest and desert steppe zones.

RECENT STUDIES OF TICK-BORNE INFECTIONS IN MONGOLIA

We have aimed to detect both Rickettsiae species and Babesia microti in adult ticks of Dermacentor nutalli in Tuv province; and looked for only Rickettsiae species in Ixodes persulcatus in Selenge province. Using the PCR and DNA sequencing techniques, we amplified and sequenced the 16S rRNA, gltA, rOmpA genes of Rickettsia and 18S rRNA gene of B. microti and Rickettsia species were identified. Infection rate for Rickettsiae spp. was 82.7 % (115/139 samples) by 16S rRNA sequencing results and among them the highest prevalence rate was that for R. raoultii strain – 71.4 % (80/111 samples) by gltA gene sequencing and 100 % (81/81 samples) by rOmpA gene sequencing. Canditatus Rickettsia tarasevichiae strain was detected in 27.9 % (31/11 samples) by gltA gene sequencing. Infection rate for Rickettsiae spp. in D. nutalli ticks was 84.3 % (81/96 samples) and R. raoultii strain comprised 96.2–98.7 % among them. Adult ticks of I. persulcatus were infected with Rickettsiae spp. with 78 % and 93.75 % of them were R. raoultii strain. Seventeen out of 97 ticks (17.5 %) were found to be infected with B. microti. Nucleotide DNA sequencing of partial 18S rRNA and gltA genes supported the PCR results. We have identified that the same species of ticks commonly distributed in Mongolia have been infected with R. sibirica, R. raoultii and B. microti. It might be the strength of our study as B. microti have not been detected in D. nuttalli ticks yet. We are considering to detect the tick-borne infections in humans.

An integrated methodology for soil moisture analysis using multispectral data in Mongolia

Soil moisture (SM) content is one of the most important environmental variables in relation to land surface climatology, hydrology, and ecology. Long-term SM data-sets on a regional scale provide reasonable information about climate change and global warming specific regions. The aim of this research work is to develop an integrated methodology for SM of kastanozems soils using multispectral satellite data. The study area is Tuv (48°40′30″N and 106°15′55″E) province in the forest steppe zones in Mongolia. In addition to this, land surface temperature (LST) and normalized difference vegetation index (NDVI) from Landsat satellite images were integrated for the assessment. Furthermore, we used a digital elevation model (DEM) from ASTER satellite image with 30-m resolution. Aspect and slope maps were derived from this DEM. The soil moisture index (SMI) was obtained using spectral information from Landsat satellite data. We used regression analysis to develop the model. The model shows how SMI from satellite depends on LST, NDVI, DEM, Slope, and Aspect in the agricultural area. The results of the model were correlated with the ground SM data in Tuv province. The results indicate that there is a good agreement between output SM and SM of ground truth for agricultural area. Further research is focused on moisture mapping for different natural zones in Mongolia. The innovative part of this research is to estimate SM using drivers which are vegetation, land surface temperature, elevation, aspect, and slope in the forested steppe area. This integrative methodology can be applied for different regions with forest and desert steppe zones.

МОНГОЛ ОРНЫ ЗАРИМ НУУРЫН ЭМЧИЛГЭЭНИЙ ШАВРЫН БАЛЬНЕОЛОГИЙН СУДАЛГАА

The peloids are the important natural remedy all over the world. Balneological and physical properties of eight Mongolian peloids collected from Lake Khyaraan (Selenge province), Tushigtsagaan (Selenge province) and Nogoon (Gobi-Altai province), Lake Kholboolj (Bayankhongor province), Lake Khundagan (Tuv province), Lake Tsaidam and Nokhoi Unadag (Arkhangai province), Lake Gurvan nuur (Khentii province), have been studied using analytical techniques. According the research we have determined physical properties of peloids from eight lakes (specific weight, moisture, porosity and moisture capacity) and balneological properties (liminess, thermal conductivity, heat capacity and the ability to retain heat) respectively. In result of the research, the physicochemical characteristics of the peloids are correcting standard satisfactory which treatment needs.

Toxicity Assessment in Artisanal Miners from Low-level Mercury Exposure in Bornuur and Jargalant Soums of Mongolia

The toxicity assessment study population is based in Bornuur and Jargalant soums of Tuv province in Mongolia, which are known for historic and current gold mining activity. The findings correlate with conclusions from a mercury exposure health risk assessment conducted by the WHO in 2008 and several subsequent epidemiological studies conducted at the Toxicology division of Mongolia's National Center for Public Health (NCPH). The outcomes of this investigation indicate that low-level mercury exposure caused symptomatic central nervous system toxicity associated with chronic exposure to mercury in Bornuur and Jargalant soums.

Physical and chemical characteristics and fatty acids composition of seeds oil isolated from Camelina sativa (L) cultivated in Mongolia

Camelina sativa L is a cruciferous oilseed plant. This plant is cultivated as an oilseed crop mainly in Europe and in North America and over the past years the cultivation has arranged in our country. The analyzed oil is obtained from the seeds of Camelina sativa L, growing in Bornuur, Tuv province. The goal of this study was to determine the physical and chemical characteristics and fatty acids composition of Camelina sativa L seed oil cultivated in Mongolia. According to our analysis total lipid was determined 38.52 %, moisture 4.80 % and total mineral elements 4.02 %, respectively. Mineral elements in Camelina sativa L seeds contain calcium (0.56 %), phosphorous (1.22 %), potassium (1.39 %), magnesium (0.53 %) in dominated amounts; iron, zinc, manganese and copper in trace amounts. Eight nonessential amino acids in seeds of this plant with total amount of 75.9 % were identified; phenylalanine was detected in highest amount among the all identified amino acids, while lysine, tryptophan and arginine are followed. The following characteristics in Camelina sativa seeds oil were determined. The refractive index was 1.4774 at 20°C, the peroxide value of fresh oil was 0.03 meq H2O2 /kg, saponification value 185.8 mg KOH/g, iodine value 143.33 g J2 and acidic value 6.27 mg KOH /g. Carotenoid was determined as 16.77 mg %, by spectrometry in Camelina sativa seeds oil. The analysis of fatty acids composition showed that there are 12.5 % saturated and 87.5 % unsaturated fatty acids. In particular, oleic acid (C18:1) 14.0 %, linoleic acid (C18:2) 9.0 %, α-linolenic acid (C18:3) 10.5 % and gondoic acid (C20:1) 32.8 %, were composed the major part of unsaturated fatty acids. DOI: http://dx.doi.org/10.5564/mjc.v14i0.205 Mongolian Journal of Chemistry 14 (40), 2013, p80-83

Analyzing causes of desertification in Bayankhangai soum, Tuv province, central Mongolia

The aim of this paper was to develop a simple assessment for precisely appraising the status and trends of desertification in Bayankhangai soum. The Bayankhangai soum is in central Mongolia, which is a part of the Hustai National Park, and this soum (administrative subdivision) belongs to the Orhon and Tuul river basins of the Khangai mountain region, encompassing 100,733 ha, and 7170 ha that is specially protected. The current study is more focused on methods for assessing climate change, pastureland change by herders and land degradation assessment. The degradation of pastureland has occurred rapidly as a consequence of herding controls being replaced by open access during the transition from socialism to a market economy. Therefore, range carrying capacity status which includes available herb biomass and predicted livestock consumption. In recent years land degradation, as measured by the decline of soil fertility and desertification as grasslands decrease, has increased with more grassland becoming sandy.

Forest Cover Assessment in Tuv province of Mongolia Using MODIS and Landsat-7 ETM+

The study aimed at determining the relative proportions of forest cover and other components in a mixed pixel. For this purpose a linear mixing model was used for the derivation of a land cover classification map in two study areas of Tuv province, Mongolia. Main types of forest cover change are forests to burn scars and agricultural fields in the study areas. In this paper, two reflective channels 3 and 4 of LANDSAT ETM+ and reflective channels land 2 of MODIS data was used to map five and four land components respectively. Clouds proportion was derived using MODIS data. A synergy between high-resolution MODIS and Landsat ETM+ data may greatly enhance the operational success of satellite based vegetation monitoring, in providing multi-spectral data on parameters of the environment.DOI: http://dx.doi.org/10.5564/pmas.v0i4.40Proceedings of the Mongolian Academy of Sciences 2007 No 4 pp.50-59

Detection of equine Babesia spp. gene fragments in Dermacentor nuttalli Olenev 1929 infesting mongolian horses, and their amplification in egg and larval progenies.

Babesia equi (EMA-1) and Babesia caballi (BC48) gene fragments were amplified by polymerase chain reaction (PCR), in blood samples, and partially fed-females and egg and larval progenies of Dermacentor nuttalli, collected from horses in Altanbulag, Tuv Province, Mongolia. While Babesia parasite DNA was detected in some horse blood samples during the first PCR, all positive cases in partially fed-female ticks, eggs and larvae were confirmed by nested PCR. Present study reinforces earlier similar findings in unfed D. nuttalli ticks collected from an open space vegetation in Bayanonjuul, Tuv Province in Central Mongolia, pointing to the most likely important role of D. nuttalli in the transmission of equine babesiosis in Mongolia. The detection of parasite DNA in eggs and larval progenies is likewise suggestive of transovarial parasite transmission in this tick species.