Highland Pastures Research Articles

Mid-Infrared Sheep Segmentation in Highland Pastures Using Multi-Level Region Fusion OTSU Algorithm

In highland pastures, grazing is a common method for managing sheep due to the abundance of grassland resources. However, it is easy for sheep to encounter situations such as stray, deviation and attacks from natural enemies; therefore, the remote monitoring of sheep in the highland pastures is an urgent problem to be solved. This paper proposes a mid-infrared sheep segmentation method based on the multi-level region fusion maximum between-class variance algorithm, i.e., OTSU algorithm, for sheep surveillance. First, a mean adjustment OTSU algorithm is designed to better distinguish the interference areas in the background. Second, the Butterworth high-pass filter is combined with the mean adjustment OTSU segmentation algorithm to remove the high-brightness interference areas in the background with slow gray intensity changes. Finally, after filtering out the large area background and small stray point, the two processed results above are fused with the AND logical operation to obtain a final segmentation result. Our algorithm is evaluated using three objective evaluation indicators: the root mean square error (RMSE), structural similarity index metric (SSIM), and peak signal to noise ratio (PSNR). The RMSE, SSIM, PSNR of highland wetland image are 0.43187, 0.99526, and 29.16353. The RMSE, SSIM, PSNR of sandy land image are 0.87472, 0.98388, and 23.87430. The RMSE, SSIM, PSNR of grassland image are 0.65307, 0.99437, and 30.33159. The results show that our algorithm can meet the requirements for the mid-infrared sheep segmentation in highland pastures.

Agriculture in the Baksan Gorge of the Central Caucasus, Kabardino-Balkaria, Russia

No agriculture is possible without soil. This article reviews available data on the soils of the Baksan Gorge located in the Kabardino-Balkarian Republic, Russia. The research objective was to collect and analyze information on the soil composition and crop yields in this region of the Central Caucasus. The review covered the last five years of scientific publications cited in Scopus, Web of Science, and Elibrary. It also featured contemporary and archival documents on the soil composition and periglacial agriculture in the Baksan Gorge. The agriculture and cattle breeding started in the Central Caucasus in the first millennium BC when the local peoples began to develop these lands as highland pastures and, subsequently, for agricultural farming. During the second millennium BC, crop production became one of the most important economic sectors in the Central Caucasus. Corn, barley, wheat, and millet were the main agricultural crops in the Baksan Gorge. Millet has always been a traditional Kabardian crop, and millet farming occupied the largest flatland areas. Barley was the staple crop in the highlands. Currently, the list of local staple crops includes corn, wheat, and sunflower. Barley, oats, peas, potatoes, vegetables, berries, nuts, grapes, and annual herbs are also popular. The past fifteen years have seen an extensive development of intensive horticulture in the Baksan Gorge. Agricultural ecology and production problems depend on the localization of agriculture in the Central Caucasus. This research reviewed data on the effect of soil composition on the yield and value of agricultural crops in the Baksan Gorge of the Central Caucasus.

DISTRIBUTION AND GEOBOTANICAL STUDIES OF THE MEDICINAL PLANT CAPPARIS HERBACEA WILLD. IN THE SOUTHERN REGIONS OF KAZAKHSTAN

Conservation of biodiversity has now become one of the most important issues in the world. Among them, the conservation of medicinal plants requires special protection. Today, medicinal plants are widely used in scientific medicine. Its main purpose is to prepare medicinal preparations on the basis of medicinal plants. Huge territories of Kazakhstan are provided with rich natural diversity. Our country has unique plants, adapted to life in the desert. In addition, the flora is rich in forest and steppe species. In recent years, the country's environmental problems have become more complex. The issue of conservation of medicinal plants is a pressing environmental concern. The pharmaceutical industry in Kazakhstan is still in need of development. Therefore, the development of the pharmaceutical industry has become an urgent issue in the country. Intensive integrated use (highland pastures, hayfields, developed cattle breeding, as well as use as a recreation area) of mountain and foothill territories, has caused significant anthropogenic changes in flora and vegetation in recent years. The relevance of the study, is the study of the medicinal plant Capparis heerbacea Willd. which grows mainly in the deserts, semi-deserts and steppes of Central Asia and Kazakhstan. This species is well adapted to different abiotic conditions and was therefore selected for the present study. The research work was carried out in 2020-2022. Classical botanical methods were used in the work. These include: route surveys, ecological systematics, ecological geography, methods of studying cenopopopulations. As a result of research work communities are characterized by the following data: Populations which are in Turkestan region and grow in disturbed areas, gradually increase the number of their individuals and thereby restore the local flora or form the conditions for the formation of new communities and populations of other species. And in the Kyrgyz Alatau population, the ecological condition is stable, which is shown by the mosaic distribution of the study species. The study showed that C. herbacea can be one of the main dominant species for a particular area or locality and an edificator for some ephemeral or ephemeroid species.

Milk metagenomics and cheese-making properties as affected by indoor farming and summer highland grazing.

The study of the complex relationships between milk metagenomics and milk composition and cheese-making efficiency as affected by indoor farming and summer highland grazing was the aim of the present work. The experimental design considered monthly sampling (over 5 mo) of the milk produced by 12 Brown Swiss cows divided into 2 groups: the first remained on a lowland indoor farm from June to October, and the second was moved to highland pastures in July and then returned to the lowland farm in September. The resulting 60 milk samples (2 kg each) were used to analyze milk composition, milk coagulation, curd firming, and syneresis processes, and to make individual model cheeses to measure cheese yields and nutrient recoveries in the cheese. After DNA extraction and Illumina Miseq sequencing, milk microbiota amplicons were also processed by means of an open-source pipeline called Quantitative Insights Into Microbial Ecology (Qiime2, version 2018.2; https://qiime2.org). Out of a total of 44 taxa analyzed, 13 bacterial taxa were considered important for the dairy industry (lactic acid bacteria, LAB, 5 taxa; and spoilage bacteria, 4) and for human (other probiotics, 2) and animal health (pathogenic bacteria, 2). The results revealed the transhumant group of cows transferred to summer highland pastures showed an increase in almost all the LAB taxa, bifidobacteria, and propionibacteria, and a reduction in spoilage taxa. All the metagenomic changes disappeared when the transhumant cows were moved back to the permanent indoor farm. The relationships between 17 microbial traits and 30 compositional and technological milk traits were investigated through analysis of correlation and latent explanatory factor analysis. Eight latent factors were identified, explaining 75.3% of the total variance, 2 of which were mainly based on microbial traits: pro-dairy bacteria (14% of total variance, improving during summer pasturing) and pathogenic bacteria (6.0% of total variance). Some bacterial traits contributed to other compositional-technological latent factors (gelation, udder health, and caseins).

О РЕЖИМАХ СНЕЖНОСТИ ЦЕНТРАЛЬНОЙ АЗИИ В 2001–2021 гг.

The aim of the work is to study the patterns in long-term snow regime of highland pastures of the Inner Tien Shan. Methods: The daily Snow Depth FEWS NET scenes for Central Asia were used for monitoring of snow cover of four test sites. Three test sites were located on the plains of South Kazakhstan near Tien Shan mountains. The primary test site was a highland pasture in Inner Tian Shan mountains. This is the Aksai-Chatyrkul basin, with an area of about 2800 km2, located in the altitude range of 3200-3500 m above sea level, in Kyrgyzstan on the border with China.Time series of the average seasonal snow depth for each test site were formed, which meant the average snow depth from January 1 to March 31. Monitoring for 2001-2021 years was carried out. A first-order autocorrelation was calculated for each time series. Results: The analysis indicated that the snow cover depth of neighboring years are rather poorly related to each other for three test sites located on the plains of Southern Kazakhstan. In contrast to the S outh Kazakhstan plains, the highland Inner Tien Shan pasture was characterized by pronounced persistence ("long memory effect"). Conclusion: The highland Inner Tien Shan pasture are characterized by the presence of pronounced persistence in the long-term dynamics of the average snow depth in January-March. That is, it is more likely that after a many-snow year there will be a many-snow one, and after a low-snow year, respectively, a low-snow one. The probable cause of this phenomenon is the persistence in the long-term dynamics of the seasonal characteristics of the Siberian anticyclone, which affects the ability in the cold period to atmospheric transport of water vapors through the mountain ranges of the Northern and Western Tien Shan to the Inner Tien Shan. This pattern in the long-term dynamics of highland pasture snow depth in Inner Tien Shan can be useful for long-term planning of calendar dates of spring migration of livestock from winter plain pastures to highland summer pastures.

Investigation of an outbreak of sheeppox among native sheep breeds in the Western Himalayas of India.

An outbreak of sheeppox was investigated in a cluster of villages situated in Western Himalayan ranges of a Northern Indian state. Non-migratory sheep (n = 80) of native breeds namely Gaddi and Rampur Bushair were infected and 15 have died. The outbreak started after a few animals contracted the disease during the summer grazing period at the highland pastures from migrating flocks of sheep. This initial outbreak resulted in a further spreading of the disease into the valley. Clinical examination revealed varying degree of cutaneous papular lesions and respiratory distress. Upon necropsy, visceral lesions in the lungs, trachea and kidneys were also found. Clinical and morbid samples were found positive for sheeppox virus using group specific P32 gene and I3L gene based multiplex PCR differentiating sheeppox and goatpox viruses. Histopathological, hematological and blood biochemical analysis also supported the pathology of an acute viral infection. The causative sheeppox virus strain was isolated using lamb testicular cell culture and phylogenetic analysis, based upon P32 and RPO30 genes, showed its clustering with other Indian strains reported from neighboring states. This study demonstrated the spread of sheeppox virus to new niches by migratory sheep flocks leading to establishment of endemic infections in many new pockets of higher Western Himalayas.

Remote Sensing of Pasture Degradation in the Highlands of the Kyrgyz Republic: Finer-Scale Analysis Reveals Complicating Factors

Degradation in the highland pastures of the Kyrgyz Republic, a small country in Central Asia, has been reported in several studies relying on coarse spatial resolution imagery, primarily MODIS. We used the results of land surface phenology modeling at higher spatial resolution to characterize spatial and temporal patterns of phenometrics indicative of the seasonal peak in herbaceous vegetation. In particular, we explored whether proximity to villages was associated with substantial decreases in the seasonal peak values. We found that terrain features—elevation and aspect—modulated the strength of the influence of village proximity on the phenometrics. Moreover, using contrasting hotter/drier and cooler/wetter years, we discovered that the growing season weather can interact with aspect to attenuate the negative influences of dry conditions on seasonal peak values. As these multiple contingent and interactive factors that shape the land surface phenology of the highland pastures may be blurred and obscured in coarser spatial resolution imagery, we discuss some limitations with prior and recent studies of pasture degradation.

148 Superovulation and embryo production response in oestrus-synchronized Arunachali yak

The Arunachali breed of yak is reared by the Monpa pastoral community of Arunachal Pradesh in India for their livelihood and nutritional security on highland pastures. In addition to fulfilling the basic needs of highlanders, this animal is associated with poor production potential linked to its inherent reproductive problems, including silent oestrus, seasonality, and inbreeding, making yak rearing a less-profitable venture. In the recent past, efforts have been made to improve reproductive efficiency of Arunachali yak through assisted reproductive techniques. However, a few regimens for superovulation have been tried to date with limited success in terms of superovulatory response and embryo recovery. Therefore, the present study was undertaken to evaluate the efficacy of two different doses and regimes of superovulation: Stimufol (400 and 200µg per animal) and Folligon (1500 and 1000IU per animal) in Arunachali yak. Twenty-four yaks were allotted in 4 groups (of 6 animals each) and subjected to respective superovulation treatment. Thereafter, the treatment response was assessed in terms of expression of oestrus, interval between treatment and oestrus onset, duration of oestrous, number of corpora lutea and embryos recovered, and analysed using two-way statistical analysis between treatment groups. The results (Table 1) showed a significant (P<0.01) variation in onset of oestrus after the treatment, whereas other responses did not differ among the groups. Further, the recovered embryos were categorized as excellent, good, fair, and poor according to cell size, shape, texture, and number of vesicles present in the blastomeres; 58.33, 20.83, 8.33, and 12.5% embryos in these categories were recovered, respectively. The overall embryo recovery rate was 30.77%, ranging from 10.53 to 52.38% in different treatment groups. The numbers of embryos recorded were less than the numbers of CL present, showing the possibility of non-availability of all ovulated oocytes for fertilization in the oviduct due to untrapping by the fimbriae. The effectiveness of treatments depended upon the precision of oestrus detection and the time of ovulation. In our study, the variation in onset of oestrus might be associated with poor expression of behavioural oestrus in the treated animals. Based on the present findings, we conclude that all the treatments are effective in superovulation and embryo recovery. However, the use of Folligon at 1500IU seemed to be comparatively more effective in Arunachali yak. Table 1. Mean (n=6) average of treatment responses in yak following different superovulatory treatment Variable Treatment Stimufol Folligon 400 µg/animal 200 µg/animal 1500 IU/animal 1000 IU/animal Oestrus response (%) 100 100 100 100 Interval between treatment and oestrus onset (h) 17.67±0.56a 20.83±0.79b 21.17±0.79bc 23.67±1.43c Duration of oestrous (h) 30.33±1.09 28.50±0.99 31.50±1.50 28.83±1.25 Corpora lutea (n) 2.83±1.22 3.50±1.18 3.50±0.67 3.17±0.87 Embryo recovered (n) 0.83±0.83 1.00±0.81 1.83±0.98 0.33±0.21 Recovery rate (%) 29.41 28.57 52.38 10.53 a–cMeans within a row with different superscripts differ P<0.05.

The influence of cows stresses resistance on cheese yield and quality

The influence of cows stresses resistance on cheese yield and quality

Medicinal ethnobotany of wild plants: a cross-cultural comparison around Georgia-Turkey border, the Western Lesser Caucasus

BackgroundThe Mountains of the Western Lesser Caucasus with its rich plant diversity, multicultural and multilingual nature host diverse ethnobotanical knowledge related to medicinal plants. However, cross-cultural medicinal ethnobotany and patterns of plant knowledge have not yet been investigated in the region. Doing so could highlight the salient medicinal plant species and show the variations between communities. This study aimed to determine and discuss the similarities and differences of medicinal ethnobotany among people living in highland pastures on both sides of the Georgia-Turkey border.MethodsDuring the 2017 and 2018 summer transhumance period, 119 participants (74 in Turkey, 45 in Georgia) were interviewed with semi-structured questions. The data was structured in use-reports (URs) following the ICPC classification. Cultural Importance (CI) Index, informant consensus factor (FIC), shared/separate species-use combinations, as well as literature data were used for comparing medicinal ethnobotany of the communities.ResultsOne thousand five hundred six UR for 152 native wild plant species were documented. More than half of the species are in common on both sides of the border. Out of 817 species-use combinations, only 9% of the use incidences are shared between communities across the border. Around 66% of these reports had not been previously mentioned specifically in the compared literature. Only 33 species have similar use reports in both countries, most important of which are Plantago major, Urtica dioica, Picea orientalis, Anthemis spp., Sambucus ebulus, Achillea millefolium, Helichrysum rubicundum, Mentha longifolia, Pinus sylvestris var. hamata, Hypericum perforatum, Tussilago farfara, Helichrysum plicatum, Rumex crispus, Berberis vulgaris, and Origanum vulgare. More than half of species reported in each country were found to have more than one part of the plant valued for medicinal use. The most common way of using plants medicinally in both countries is drinking the water infusion of aerial parts with flowers. Based on CI index value, two-thirds of the salient 15 genera in both countries have use reports in at least seven medicinal use categories. While the most cited category with highest FIC is digestive in Georgia, it is skin category in Turkey. Patterns of medicinal plant knowledge among studied communities appear to be connected with more than one cultural factor, in particular ethnolinguistic diversity, cultural background, and access to multilingual written folk and scientific literature, or probably a combination of various factors.ConclusionConsidering the regions’ floral similarity, common historical-cultural contact, and similar livelihood strategies of the communities, shared ethnomedicinal knowledge across the Georgia-Turkey border is quite low. Even though the impacts of accessing multilingual folk and scientific literature are likely to be significant, the factors that shape the medicinal plant knowledge patterns of the communities are shown to be variable among species, needing further research into intracultural diversity and socio-economical conditions, as well as the political history across the border.

Land surface phenology in the highland pastures of montane Central Asia: Interactions with snow cover seasonality and terrain characteristics

Many studies have shown that high elevation environments are among very sensitive to climatic changes and where impacts are exacerbated. Across Central Asia, which is especially vulnerable to climate change due to aridity, the ability of global climate projections to capture the complex dynamics of mountainous environments is particularly limited. Over montane Central Asia, agropastoralism constitutes a major portion of the rural economy. Extensive herbaceous vegetation forms the basis of rural economies in Kyrgyzstan. Here we focus on snow cover seasonality and the effects of terrain on phenology in highland pastures using remote sensing data for 2001–2017. First, we describe the thermal regime of growing season using MODerate Resolution Imaging Spectrometer (MODIS) land surface temperature (LST) data, analyzing the modulation by elevation, slope, and aspect. We then characterized the phenology in highland pastures with metrics derived from modeling the land surface phenology using Landsat normalized difference vegetation index (NDVI) time series together with MODIS LST data. Using rank correlations, we then analyzed the influence of four metrics of snow cover seasonality calculated from MODIS snow cover composites—first date of snow, late date of snow, duration of snow season, and the number of snow-covered dates (SCD)—on two key metrics of land surface phenology in the subsequent growing season, specifically, peak height (PH; the maximum modeled NDVI) and thermal time to peak (TTP; the amount of growing degree-days accumulated during modeled green-up phase). We evaluated the role of terrain features in shaping the relationships between snow cover metrics and land surface phenology metrics using exact multinomial tests of equivalence. Key findings include (1) a positive relationship between SCD and PH occurred in over 1664 km2 at p < 0.01 and 5793 km2 at p < 0.05, which account for >8% of 68,881 km2 of the pasturelands analyzed in Kyrgyzstan; (2) more negative than positive correlations were found between snow cover onset and PH, and more positive correlations were observed between snowmelt timing and PH, indicating that a longer snow season can positively influence PH; (3) significant negative correlations between TTP and SCD appeared in 1840 km2 at p < 0.01 and 6208 km2 at p < 0.05, and a comparable but smaller area showed negative correlations between TTP and last date of snow (1538 km2 at p < 0.01 and 5188 km2 at p < 0.05), indicating that under changing climatic conditions toward earlier spring warming, decreased duration of snow cover may lead to lower pasture productivity, thereby threatening the sustainability of montane agropastoralism; and (4) terrain had a stronger influence on the timing of last date of snow cover than on the number of snow-covered dates, with slope being more important than aspect, and the strongest effect appearing from the interaction of aspect and steeper slopes. In this study, we characterized the snow-phenology interactions in highland pastures and revealed strong dependencies of pasture phenology on timing of snowmelt and the number of snow-covered dates.

How much variation in land surface phenology can climate oscillation modes explain at the scale of mountain pastures in Kyrgyzstan?

Climate oscillation modes can shape weather across the globe due to atmospheric teleconnections. We built on the findings of a recent study to assess whether the impacts of teleconnections are detectable and significant in the early season dynamics of highland pastures across five rayons in Kyrgyzstan. Specifically, since land surface phenology (LSP) has already shown to be influenced by snow cover seasonality and terrain, we investigated here how much more explanatory and predictive power information about climatic oscillation modes might add to explain variation in LSP. We focused on seasonal values of five climate oscillation indices that influence vegetation dynamics in Central Asia. We characterized the phenology in highland pastures with metrics derived from LSP modeling using Landsat NDVI time series together with MODIS land surface temperature (LST) data: Peak Height (PH), the maximum modeled NDVI and Thermal Time to Peak (TTP), the quantity of accumulated growing degree-days based on LST required to reach PH. Next, we calculated two metrics of snow cover seasonality from MODIS snow cover composites: last date of snow (LDoS), and the number of snow covered dates (SCD). For terrain features, we derived elevation, slope, and TRASP index as linearization of aspect. First, we used Spearman’s rank correlation to assess the geographical differentiation of land surface phenology metrics responses to environmental variables. PH showed weak correlations with TTP (positive in western but negative in eastern rayons), and moderate relationships with LDoS and SCD only in one northeastern rayon. Slope was weakly related to PH, while TRASP showed a consistent moderate negative correlation with PH. A significant but weak negative correlation was found between PH and SCAND JJA, and a significant weak positive correlation with MEI MAM. TTP showed consistently strong negative relationships with LDoS, SCD, and elevation. Very weak positive correlations with TTP were found for EAWR DJF, AMO DJF, and MEI DJF in western rayons only. Second, we used Partial Least Squares regression to investigate the role of oscillation modes altogether. PLS modelling of TTP showed that thermal time accumulation could be explained mostly by elevation and snow cover metrics, leading to reduced models explaining 55 to 70% of observed variation in TTP. Variable selection indicated that NAO JJA, AMO JJA and SCAND MAM had significant relationships with TTP, but their input of predictive power was neglible. PLS models were able to explain up to 29% of variability in PH. SCAND JJA and MEI MAM were shown to be significant predictors, but adding them into models did not influence modeling performance. We concluded the impacts of climate oscillation anomalies were not detectable or significant in mountain pastures using LSP metrics at fine spatial resolution. Rather, at a 30 m resolution, the indirect effects of seasonal climatic oscillations are overridden by terrain influences (mostly elevation) and snow cover timing. Whether climate oscillation mode indices can provide some new and useful information about growing season conditions remains a provocative question, particularly in light of the multiple environmental challenges facing the agropastoralism livelihood in montane Central Asia.

Efficiency of growing crossbreed bull-calves of the mountain cattle with Russian polled breed

The article presents the results of cross-breeding of mountain cattle with Russian polled breed. The growth and development of the crossbreed and purebred bull-calves of these breeds in the mountainous province of Dagestan have been studied in a comparative aspect. Efficiency of highland pastures use by crossbreed animals in comparison with pure-bred mountain peers has been established. The young cattle was grown according to the technology of meat cattle breeding “cow — calf”. In ablactation, the crossbred bull-calves had a living weight of 191.3 kg versus 159.3 kg in peers of mountain cattle. This figure was higher by 32.0 kg or 20.1% compared to purebred bull-calves of mountain cattle. At 12 months of age, the crossbred animals were also superior in living weight in comparison of young mountain cattle by 40.1 kg or 18.4%. According to this indicator, the advantage in crossbred animals at 15 months of age remained. The live mass of crossbred bull-calves at 18 months of age equaled to 399.5 kg against 332.6 kg of purebred mountain peers, the difference in favor of the former was 66.9 kg or 20.1%. Average daily growth of crossbreed bull-calves during the growing period was 122 grams or 20.8% higher. Young crossbred cattle had a clear advantage in terms of physique. Heavy carcasses with high slaughter yield were obtained from it. The conducted studies indicate the effectiveness of cross-breeding of mountain cattle with Russian polled breed in the mountainous province of Dagestan.

Enteric Methane Emissions of Dairy Cows Predicted from Fatty Acid Profiles of Milk, Cream, Cheese, Ricotta, Whey, and Scotta.

Simple SummarySix main fatty acids measured by gas-chromatography of four types of milk samples, fresh products, by-products, and ripened cheeses were used for predicting enteric methane yield per kg of feed consumed and intensity per kg of milk produced. Methane yield and intensity can be predicted from single milk samples with good accuracy. Cream, ricotta, and ripened cheese could be used only taking into account the possible overestimation of emissions and increasing the number of samples analyzed to improve the precision. Among by-products, whey could be a possible alternative source of information for predicting methane emission, whereas scotta showed low precision. Ripened cheeses were found to be less valuable sources of information to predict methane emission. This method could be used for monitoring the ecological footprint of different farms, dairy and feeding systems, and processing units.Enteric methane emissions (EME) of ruminants contribute to global climate change, but any attempt to reduce it will need an easy, inexpensive, and accurate method of quantification. We used a promising indirect method for estimating EMEs of lactating dairy cows based on the analysis of the fatty acid (FA) profile of their milk. The aim of this preliminary study was to assess milk from four single samplings (morning whole, evening whole, evening partially skimmed, and vat milks) as alternatives to reference whole milk samples from two milkings. Three fresh products (cream, cheese, and ricotta), two by-products (whey and scotta), and two long-ripened cheeses (6 and 12 months) were also assessed as alternative sources of information to reference milk. The 11 alternative matrices were obtained from seven experimental cheese- and ricotta-making sessions carried out every two weeks following the artisanal Malga cheese-making procedure using milk from 148 dairy cows kept on summer highland pastures. A total of 131 samples of milk, dairy products, and by-products were analyzed to determine the milk composition and to obtain detailed FA profiles using bi-dimensional gas-chromatography. Two equations taken from a published meta-analysis of methane emissions measured in the respiration chambers of cows on 30 different diets were applied to the proportions of butyric, iso-palmitic, iso-oleic, vaccenic, oleic, and linoleic acids out of total FAs to predict methane yield per kg of dry matter ingested and methane intensity per kg of fat and protein corrected milk produced by the cows. Methane yield and intensity could be predicted from single milk samples with good accuracy (trueness and precision) with respect to those predicted from reference milk. The fresh products (cream, cheese and ricotta) generally showed good levels of trueness but low precision for predicting both EME traits, which means that a greater number of samples needs to be analyzed. Among by-products, whey could be a viable alternative source of information for predicting both EME traits, whereas scotta overestimated both traits and showed low precision (due also to its very low fat content). Long-ripened cheeses were found to be less valuable sources of information, although six-month cheese could, with specific correction factors, be acceptable sources of information for predicting the methane yield of lactating cows. These preliminary results need to be confirmed by further study on different dairy systems and cheese-making technologies but offer new insight into a possible easy method for monitoring the EME at the field level along the dairy chain.

Terpenoid traceability of commercial sheep cheeses produced in mountain and valley farms: From pasture to mature cheeses.

Mountain cheeses are characterized by their strong link to the territory and are testimonial of the cultural heritage. However, there is a lack of traceability and authenticity indicators for most mountain cheeses produced in Europe even though their terroir value is demanded by cheese-makers, consumers and regulatory bodies. The present study investigated the potential and reliability of terpenoids as traceable compounds in Idiazabal PDO cheeses made with raw milk from commercial sheep flocks grazed on lowlands or mountain grasslands. Terpenoids were analysed in individual pasture plants and ripened cheeses. Ingested diets were estimated by microscopic examination of plant residues in sheep faeces, and terpenoid composition of pastures and sheep diets were calculated from isolated plant species analysis. About 100 individual terpenoids were detected in botanical species collected from pastures and 40 compounds in mature cheeses. Important differences were found in the abundance of terpenoids identified in lowland and highland pastures mainly depending on the botanical family and the contribution of each botanical species to both type of grasslands. Estimated sheep diet composition of lowland and highland flocks was different and, in consequence, ingested terpenoids calculated from the estimated diet composition and individual plant terpene analysis were different. The multivariate approach provided robustness in the terpenoid traceability from pasture to cheese selecting individual terpenoids, particularly sesquiterpenoids such as γ-cadinene and aromadendrene, which strongly contributed to discriminate between mountain and valley cheeses. These results can help regulatory bodies to implement effective traceability and authentication procedures to identify mountain cheeses and to protect added-value dairy products.

Changes in fatty acid profile of Bovec sheep milk due to different pasture altitude

Sheep rearing on mountain pastures is an ancestral tradition in northwestern Slovenia. The indigenous Bovec sheep are widespread there and are well adapted to the rough Alpine rearing conditions. Every year, after weaning, the sheep start grazing in the lowlands (L) and then gradually move to mountain pastures, and finally, to the highland (H) pastures of the Alps. Grazing positively affects the fatty acid (FA) composition in sheep milk fat with increased availability of polyunsaturated FA (PUFA) in grass, and subsequently, in milk. Consequently, the objective of this work was to study the FA profile in sheep milk during grazing in four geographical areas in the Alps. A total of 15 ewes of the Bovec sheep breed were randomly selected and milk samples from these ewes were taken at four different pasture locations that differed with regard to altitude: the L pasture location at an altitude of 480 m, the mountain pastures (M1 and M2) at altitudes of 1100 to 1300 m and 1600 to 1900 m, respectively, and the H pastures at altitudes of 2100 to 2200 m. Milk samples from the ewes were taken during the grazing season from April to September. The chemical and FA composition of the milk samples from each pasture location were determined. There were significant differences in the concentrations of FA among the L, M1, M2 and H milk samples. We observed decreases of the concentrations of saturated FA (SFA) in milk from L to H pastures. The concentration of α-linolenic FA, monounsaturated FA (MUFA), PUFA and n-3 PUFA in milk were increased significantly with pasture altitude. The n-6/n-3 PUFA ratio was reduced by the change of pasture altitude with the lowest value at the M1 pasture (1.5). The concentrations of total SFA decreased significantly and was lowest at the L pasture. Our results underline the importance of the effect of grazing in the Alpine region associated with pasture altitude on the FA profile of sheep milk. The first variation in FA concentration in sheep milk occurred between L and M1, although it was more evident on H pastures in the Alpine mountains. Changes of the FA profile in sheep milk due to pasture altitude were related to variation in FA concentration in the pasture and the botanical composition of the pasture location.

Who will win where and why? An ecophysiological dissection of the competition between a tropical pasture grass and the invasive weed Bracken over an elevation range of 1000 m in the tropical Andes.

In tropical agriculture, the vigorously growing Bracken fern causes severe problems by invading pastures and out-competing the common pasture grasses. Due to infestation by that weed, pastures are abandoned after a few years, and as a fatal consequence, the biodiversity-rich tropical forest is progressively cleared for new grazing areas. Here we present a broad physiological comparison of the two plant species that are the main competitors on the pastures in the tropical Ecuadorian Andes, the planted forage grass Setaria sphacelata and the weed Bracken (Pteridium arachnoideum). With increasing elevation, the competitive power of Bracken increases as shown by satellite data of the study region. Using data obtained from field measurements, the annual biomass production of both plant species, as a measure of their competitive strength, was modeled over an elevational gradient from 1800 to 2800 m. The model shows that with increasing elevation, biomass production of the two species shifts in favor of Bracken which, above 1800 m, is capable of outgrowing the grass. In greenhouse experiments, the effects on plant growth of the presumed key variables of the elevational gradient, temperature and UV radiation, were separately analyzed. Low temperature, as well as UV irradiation, inhibited carbon uptake of the C4-grass more than that of the C3-plant Bracken. The less temperature-sensitive photosynthesis of Bracken and its effective protection from UV radiation contribute to the success of the weed on the highland pastures. In field samples of Bracken but not of Setaria, the content of flavonoids as UV-scavengers increased with the elevation. Combining modeling with measurements in greenhouse and field allowed to explain the invasive growth of a common weed in upland pastures. The performance of Setaria decreases with elevation due to suboptimal photosynthesis at lower temperatures and the inability to adapt its cellular UV screen.

Altitude and zonal regularities and agro-ecological estimation of bioclimatic rhythms in Armenia

The article includes the data of long-term monitoring observations taken from 60 meteorological stations located at 450-3200 m above the sea level. It presents the results of study of time of occurrence, duration and spatial variability of bioclimatic rhythms of main ecotypes of agricultural crops under the conditions of high altitudes of the Republic of Armenia. It was found out that vertical gradients of the average periods of main phases of grow of winter wheat, potatoes, grapes and livestock pasturage within highland pastures fluctuate within 3-5 days / 100 m. Agro-ecological conditions for bioclimatic rhythms along high-altitude zones are estimated. The high-altitude regularities are determined and correlation dependence curves of time of occurrence of bioclimatic rhythms from absolute altitude are identified with specification of ways for optimizing heat and moisture availability and productivity of these crops. The probability of crop damage from drought, frosts in different periods of vegetation is calculated. Agro-climatic parameters of critical periods of growth and development of crops under study within high-altitude zones are determined which makes it possible to ensure production of stable and high yields. It became clear that the highest altitude for obtaining two crops a year after harvesting early spring grains, vegetables, potatoes is 1400 m above the sea level – in arid regions and 1200 m - in wet regions. It is proposed to develop a natural conveyor for fresh vegetables, potatoes, maize, fruit, dairy and other products using the vertical zonality of crops ripening and livestock pasturage within the summer pasture zone.

Mapping man-induced soil degradation in Armenia's high mountain pastures through remote sensing methods: A case study

The research goal was measuring the precision of linear spectral unmixing (LSU), and NDVI-SMA methods applied to QuickBird imagery, estimating soil surface components related to degradation (fractional vegetation cover-FVC, bare soils fractions, surface rock cover) and determining the appropriateness of these methods for mapping man-induced soil degradation in Armenia's highland pastures. The accuracy assessment was done by comparing between RS derived land cover abundance and the ground truth data. Significant regression was established between ground truth FVC and both NDVI-LSU and LSU - produced vegetation abundance data (R2 = 0.636, R2 = 0.625, respectively). For bare soil fractions, linear regression produced a general coefficient of determination R2 = 0.708. Because of poor spectral resolution of QuickBird imagery LSU failed with the surface rock abundance (R2 = 0.015) assessment. The outcomes show that the proposed method of man-induced soil degradation assessment through FVC, bare soil fractions, and field data adequately reflects the current status of soil degradation throughout the studied pasture site.

Detailed fatty acid profile of milk, cheese, ricotta and by products, from cows grazing summer highland pastures.

In this research two-dimensional GC was used to analyse, for the first time, the detailed fatty acid (FA) profiles of 11 dairy matrices: raw milk (evening whole, evening partially skimmed, morning whole, and vat milk), cream, fresh cheese, whey, ricotta, scotta, 6- and 12-month-ripened cheeses, obtained across artisanal cheese- and ricotta-making trials carried out during the summer period while cows were on highland pastures. Samples were collected during 7 cheese- and ricotta-making procedures carried out at 2-week intervals from bulk milk to study possible differences in the transfer and modification of FA. Compared with morning milk, evening milk had fewer de novo synthetised FA. The detailed FA profile of partially skimmed milk differed little from that of evening whole milk before skimming, but the cream obtained differed from partially skimmed milk and from fresh cheese in about half the FA, due mainly to higher contents of all de novo FA, and lower contents of n-3 and n-6 FA. Fresh cheese and whey had similar FA profiles. The ricotta manufacturing process affected the partition of FA between ricotta and scotta, the FA profile of the latter differing in terms of groups and individual FA from the former, whereas ricotta and fresh cheese had similar composition of FA. In general, there was an increase in medium-chain saturated FA, and a decrease in many polyunsaturated FA during the first 6 months of ripening, but not during the second 6 months. Two-dimensional GC yielded a very detailed and informative FA profile on all the 11 dairy products and by-products analysed.