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Long-term field experiments provide a valuable dataset for predicting changes in soil organic carbon (SOC) stocks in different agricultural systems. The RothC-26.3 model was used to simulate changes in SOC in the monoculture of spring barley (Hordeum vulgare L.) and the Norfolk crop rotation during 1972–2100. The potential of the Gleyic Fluvisol Clayic to sequester organic carbon was investigated. The studied soil was heavily textured, with medium organic carbon content. Four management scenarios in the monoculture and six management scenarios in the Norfolk crop rotation were evaluated. Three different global climate models (MPI, MRI, CMSS) representing the uncertainty of future climate conditions were used. Results showed that carbon stocks were mainly influenced by plant residue inputs and exogenous organic materials application. The projection showed trends of carbon stocks decreasing in the case of monoculture management. Results also documented that management scenario D with straw incorporation and intercrops represented sustainability and carbon stock increase during all modelled climate scenarios. The SOC stock at the end of the century was approximately 66 t/ha. This represents a moderate sequestration of SOC of approximately 0.09 t/ha/year.

The exact determination of the rotation period is still a current and important essential issue of forestry. It attracts the attention of forest economists, managers and owners worldwide, not only of forest economists but also of forest managers. The rotation period is defined by physical, technical or financial parameters of forest management. Therefore, it is necessary to distinguish between the biological and the economic optimal rotation period. A fundamental challenge in forest management is the need for appropriate determination of the rotation period. The primary interest of our research was to compare the effective legislation for the determination of the rotation period in the Czech Republic and in the Slovak Republic. Scientific methods such as document analysis and questionnaire survey were applied. The results of the legislation analysis and other related documents were compared with the expert opinions of the relevant stakeholders. Those who affect the decision process related to the problem and those where are "affected" by the problem were involved in the study. Results show that respondents do not agree with the regulation of rotation period according to effective law. Moreover, they consider it as not usable as the conditions in forest ecosystems have changed recently, which is not considered in the legislation.

The aim of this study was to validate selected precision livestock farming (PLF) methods of nutrition and feeding management of high-yielding Holstein dairy cows. In a feeding trial with 36 dairy cows, the effect of replacing 0.1 kg of sodium bicarbonate in the control total mixed ration (TMR-C) with 1 kg of wheat straw in the experimental total mixed ration (TMR-S) on the physiological status of cows and the amount of milk produced (milk yield, MY) was investigated. Feed intake time (FT), as measured using tensometric feed troughs (TFT), was significantly longer with TMR-S (188 min) than with TMR-C (157 min). Differences between TMR-C and TMR-S were not significant for FT or rumination time (RT), as measured by a sensor in the collar (VSC). There was only a weak correlation between the two technologies (TFT vs. VSC) for FT (r = 0.27). Differences between TMR-C and TMR-S were not significant for values measured in rumen fluid (pH, acid and ammonia levels) nor for values measured by sensors in the milking parlour (MY, fat and protein percentage of milk). Milk analysis in the laboratory showed that the cows fed TMR-C had higher urea (26.6 vs. 22.7 mg/100 ml) and free fatty acid (0.87 vs. 0.33 mmol/100 g) levels in milk. Moderate correlations were between TMR intake and MY (r = 0.55); between MY and milk fat (r = –0.46); between milk fat and milk protein (r = 0.63); and between milk fat and milk protein measured by sensors and in the laboratory (r = 0.47 and r = 0.42, respectively). In view of the above results, further research and data validation for each technology are needed.

Due to a scarcity of freshwater resources, agriculture is dependent on the use of poor quality water for irrigation in arid and semi-arid regions. Hence, the effective use of poor quality water requires pioneering water management and nitrogen fertilizer practices for increasing yield and resource efficiency. This study aimed to investigate the effect of saline water levels, nitrogen fertilizer, and irrigation methods on eggplant yield, water productivity, NPK uptake, and nitrogen use efficiency. The experiment was conducted in 2019 and 2020 under drip (IM1) and surface flood irrigation (IM2). The treatments included three saline water levels i.e. canal water (SW1), ECiw=2.5 dS/m (SW2), and ECiw=5.0 dS/m (SW3) along with the three nitrogen levels of 75% (N1), 100% (N2), and 125% (N3) of the recommended dose of nitrogen. Application of saline water using IM1 reduced the ECe by 41.8% (SW2) and 34% (SW3) over IM2. The fruit yield, water productivity (WP), NPK uptake, and nitrogen use efficiency (NUE) was increased by 22%, 127.6%, 39.8%, 16.6%, 11.8%, and 23.8% under IM1 over IM2, respectively. A high saline water level under IM2 can cause more reduction in fruit yield, NPK uptake, and water use. Applying saline water through IM1 improves fruit yield, WP, and NUE by 13-32.8%, 104.1-147.3%, and 10.5-35.2% as compared to IM2. We found that saline water and N applied by drip improved eggplant yield, water productivity, and NPK uptake. It is concluded that irrigation water and nitrogen fertilizer consumption are optimized when saline water is applied through drip irrigation.

Herbivorous pests and arbuscular mycorrhizal fungi (AMF) coexist on the same host plant, having an indirect effect on one another. We established an experiment in a randomised complete block design with four treatments and six replications to examine the impact of AMF on the population and the damage caused to plane trees by the leafhopper Zyginella pulchra. Manure, manure plus fertiliser, manure plus fertiliser plus AMF, and non-inoculated plants (control) were all of the treatments. The findings revealed that while the nutritional content and soluble carbohydrate content were significantly enhanced by all treatments, they largely reached their peak in the AMF-inoculated plants. When compared to control trees that were not inoculated, the concentrations of N, P, and Zn were boosted by 39%, 81%, and 425%, respectively. AMF inoculation increased the population of Z. pulchra nymphs and adults compared to the control. However, the plants with AMF inoculation eventually suffered greater leaf loss as a result of this rise in the pest population. The findings show that while AMF enhance nutrient absorption and are necessary to improve the nutritional state of the host trees, they also enhance the absorption of pests that are thought to be harmful to plane trees. However, AMF colonisation improved the potential attractiveness of Z. pulchra to plane trees.

Plantain is the most important crop for the Peruvian Amazonian population, developed in recent alluvial soils rich in nutrients, but fragile and susceptible to degradation. Therefore, the impact of permanent cultivation was evaluated, through modelling, on indicators of recent alluvial soil quality and production in plantations of Musa paradisiaca L. var. Harton, in the Aguaytia River valley, Peru. The treatments were areas with permanent plantain plantations of 2 (T0), 15 (T1), 4 (T2), and 5 (T3) years of management, evaluating soil physicochemical indicators and plantain production indicators. The results show significant differences for all yield and soil indicators evaluated, except for bulk density (Bd), clay fraction, soil organic matter (OM) and N. The modelling determined a significant positive impact on Bd and a significant negative impact on pH, P, pseudostem diameter and height, commercial fingers and bunch weight. In conclusion, the modelling shows trends of quality and yield reduction in 15 years of permanent management of plantain Var. Harton, and compromises the sustainability of the agroecosystem in the medium term.

The ecological significance of Scots pine (Pinus sylvestris L.) in Europe, especially in areas devastated by bark beetles, has led to its consideration as a substitute for Norway spruce. This pioneering species boasts sun and drought tolerance, fast growth, and wood industry value. To gauge its potential, we examined two ecotypes across two test sites over two years, focusing on height and growth increment. Through statistical analysis employing R software and linear mixed models, we assessed heritability, genotype by environment interaction, and spatial correlations. Both ecotypes exhibited significant differences in height and increment, varying by year and site. Heritability was higher in the second year, with increment showing greater stability. Genetic correlations between sites were evident, suggesting stable increment ranking across locations. These findings underscore the role of ecotypic variation in Scots pine growth, advocating for its consideration in reforestation. Acknowledging such dynamics is vital for effective forest management and reforestation in Central Europe, promoting sustainability and informed decision-making. Further research will enhance this understanding of preserving and enhancing the region's tree populations.

The Algeria forest, particularly in the northeastern region, has undergone profound changes in recent years. The Oued Bouhamdane watershed has a great forest potential, which is threatened by several factors of natural and human origin, resulting in a decrease in forest cover. It requires adequate forest monitoring to support the sustainable forest management of this watershed, which is possible thanks to satellite imagery. The objective of this research is to study the spatiotemporal dynamics of the vegetation cover of the Oued Bouhamdane watershed between 2013 and 2022 using remote sensing data. This study is based on the use of Landsat 8 and 9 images for two dates in 2013 and 2022, and the calculation of the Normalized Difference Vegetation Index (NDVI) to identify changes in vegetation cover between 2013 and 2022. The calculation of NDVI and the realization of the vegetation change map showed a regression of the forest cover between 2013 and 2022 with a rate of –5.53% of the total of the study area with a general negative change of 28.62% of the study area. This regression is essentially linked to natural and anthropogenic factors. This work can be a valuable tool for sustainable management of the forest of this watershed; moreover, the method is also adaptable to other watersheds of the northeastern region of Algeria.

The determination of the saturated hydraulic conductivity Ks on a field scale presents a challenge in which several variables have to be considered. As there is no benchmark or reference method for the Ks determination, the suitability of each available method has to be evaluated. This study is aimed at the functional evaluation of three publicly available types of pedotransfer functions (PTFs) with different levels of utilised predictors. In total, ten PTF models were applied to the 56 data sets including the measured Ks value and the required predictors (% sand, silt and clay particles, dry bulk density, and organic matter/organic carbon content). A single agricultural field with a relatively homogenous particle size distribution was selected for the study to evaluate the ability of the PTF to reflect the variability of Ks. The correlation coefficient, coefficient of determination, mean error, and root mean square error were determined to evaluate the Ks prediction quality. The results showed a high variability in Ks within the field; the measured Ks values ranged between 10 and 1261 cm/day. Although the tested PTF models are based on a robust background of soil databases, they could not provide estimates with satisfactory accuracy unless local soil data were incorporated into the PTF development.

Tail biting in pigs represents a very serious problem in modern pig farming, particularly with the intensification of the industry. It is considered a multifactorial syndrome and can be caused by various factors, leading to significant economic losses through reduced weight gain and partial or total condemnation of slaughtered carcasses due to secondary bacterial infections. The aim of this article is to summarise the current knowledge regarding tail biting in pigs, with a primary focus on the use of slaughterhouses for evaluating tail lesions and monitoring their prevalence. The introduction addresses the factors influencing the incidence of tail biting in pig farms and prevention strategies. Subsequent sections cover topics such as tail docking, the negative effects of pig tail biting, the advantages and drawbacks of examining tail lesions in slaughterhouses, and the methodical procedure for evaluating such lesions. Additionally, the article discusses the relationship between tail lesions and meat inspection findings, as well as the prevalence of tail lesions in various European countries.

The effect of drought stress on carbon metabolism in the leaves and roots of bermudagrass was investigated. Plants established in PVC tubes suffered from three water treatments for 10 days. C138 and Tifway (drought-tolerant) were found to have lower relative electrical conductivity and higher water use efficiency than C32 (drought-sensitive) under moderate drought by increasing carotenoid and soluble sugar content and rapidly decreasing leaf starch content. The sucrose synthase activity of leaves and roots, acid invertase and neutral invertase activity of C32 roots substantially decreased under severe drought, resulting in a slow sucrose decomposition rate and significantly lower fructose and glucose contents than C138 and Tifway. The activities of four carbon metabolism enzymes and sucrose content in the leaves were greater than those in the roots, while the fructose and glucose contents were on the contrary, indicating that bermudagrass transported fructose and glucose obtained from sucrose decomposition from leaves to roots under drought to reduce roots damage. The path analysis indicated that leaves neutral invertase activity, and roots soluble sugar content might be the key parameter of carbon metabolism in bermudagrass under drought.

Centaurea cyanus is an annual weed mostly infesting winter cereals and rape. The aim of the study was to provide insights into the association between the seed germination characteristics and the herbicide sensitivity in C. cyanus in the presence of the genetic background control. Four populations of this species resistant to acetolactate synthase (ALS) inhibitors were tested. A germination study was conducted in a growth cabinet. Plants were sprayed at the 2- to 3-leaf stage with a field dose of florasulam (5 g/ha). There were four herbicide treatments dates, which included plants that germinated up to the seventh day, between eight and 12, 13 and 15, 16 and 20 days of the germination study. The germination dynamics of the four tested populations of C. cyanus resistant to florasulam was diversified. Three of them reached their maximum germination on the fourth day after sowing, however, the germination of the fourth population was spread over time with the highest number of germinated seeds found seven and twelve days after sowing. The germination time of the plants belonging to the resistant C. cyanus populations differentiated their reaction to florasulam. The conducted study indicated that the germination biology of ALS inhibitor-resistant populations of C. cyanus is diverse, which makes it difficult to introduce universal management strategies of this species into agricultural practice. Integration of control methods is recommended, including delaying the crop sowing date.

Emerging economies often establish commodity futures markets to discover price signals, manage price risks and improve market integration, but establishing a futures market may not be feasible for agricultural perishables. In this study, we evaluated the function of the world’s first fresh fruit futures contract for apples. Combining partial cointegration with state-space modelling, we derived time-varying price discovery metrics for the apple futures market. Our findings revealed a limited and time-varying dominance of price discovery by the futures market, while a substantial share of price discovery occurred in the spot market. Moreover, poor convergence of disaggregated spot prices to the futures price suggests that commercial traders in the apple supply chain tended to focus more on the spot market than on the futures market. Thus, emerging economies should be cautious about the new establishment of futures markets for agricultural perishables. Future research using more specific data on the spot market may provide a better insight on the limited function of the futures market.

Results of a vast research activity carried out worldwide in the last decades have demonstrated that endophytic fungi hold a fundamental role in improving plant fitness based on their aptitudes as growth promoters and/or defensive mutualists. These properties may have applicative perspectives in crop production, particularly for tree species such as hazelnut (Corylus avellana), which is mostly cropped extensively in semi-natural contexts of highland regions throughout the temperate zones. The available data on the occurrence, ecological roles, and applications in biotechnology of endophytic fungi associated with hazelnuts are revised in this paper in view to provide a reference supporting future investigations and projects aimed at exploiting the potential of this component of the plant microbiome.

A 4 × 2 factorial experiment was conducted to investigate the effect of dietary supplementation levels (0, 5 and 10 g/kg) of chamomile flower powder and a level (60 mg/kg) of salinomycin on performance and gut health of broiler chickens under coccidiosis challenge. A total of 320-day-old Ross 308 broilers were assigned to eight treatments of four replicates with 10 birds. Oral inoculation of the challenged groups with Eimeria tenella occurred on day 8. On day 10, disease challenge and additive level significantly (P = 0.003) interacted, decreasing the feed intake. Feed intake significantly (P ≤ 0.001) decreased in birds supplemented with 10 g/kg of chamomile. At 35 days, birds fed chamomile and anticoccidial significantly (P = 0.001) increased body weight (BW) and weight gain (WG). Disease challenge adversely influenced (P = 0.001) BW and WG. Additive level and disease challenge significantly (P = 0.001) interacted on feed conversion ratio (FCR). Anticoccidial and chamomile improved (P = 0.001) FCR of birds regardless of the rearing conditions. Significantly (P = 0.001) better FCR was observed in the unchallenged birds. The interaction of experimental factors was significant (P ≤ 0.04) on the relative weight of bursa. Disease challenge significantly (P = 0.005) increased the relative weight of liver whereas that of bursa decreased. Cholesterol (P = 0.002), albumin/globulin (P = 0.009), aspartate aminotransferase (AST) (P = 0.002) and alanine transaminase (ALT) (P = 0.001) significantly increased in challenged birds. The interaction of experimental factors was significant (P = 0.002) on villus length, crypt depth and villus height/crypt depth ratio (P = 0.001). Longer (P = 0.001) villi were found in anticoccidial and chamomile supplemented birds. Coccidiosis adversely (P = 0.001) influenced the jejunum morphology. Crypt depth decreased and villus height/crypt depth increased in chamomile offered birds (P = 0.001) regardless of the challenge conditions. Bursal morphology was significantly influenced by experimental factors. Dietary supplementation of chamomile had positive effects on broiler performance, immunity and intestinal morphology during exposure to the E. tenella parasite. Chamomile could be used as a potential natural anticoccidial in broiler nutrition.

Optimizing current assets and their financing resources is of great importance for firms to sustain their existence with the highest level of profitability. However, empirical evidence from the food and beverage industry on the effects of working capital management (WCM) on profitability is scarce and mixed. This study aims to understand how various components of WCM affect the profitability of listed European food and beverage (F&B) companies. For this purpose, static panel data methodology was used to test the relationship between profitability and WCM measured by the cash conversion cycle and its components. The results were checked for robustness by using dynamic panel data methodology. Our results indicate a negative relationship between profitability and the cash conversion cycle. Unlike previous studies that have analysed a single country, this study provides evidence based on analyses of the largest possible sample of listed European F&B companies.

The present study was aimed at measuring the concentration of aflatoxin M1 (AFM1) in the milk of Holstein Friesian cows, its effect on the milk quality and seasonal trends, as well as to investigate the efficacy of a commercial clay-based toxin binder. For this purpose, milk samples from dairy cows (n = 72) were collected and assayed for AFM1 before employing a clay-based toxin binder. The milk samples (n = 72) were collected from selected animals, revealing that 69.4% of the milk samples had AFM1 levels above the United States permissible limit (0.5 µg/kg). The incidence of AFM1 in milk during the winter and summer was 82.5% and 53.1%, respectively. Owing to the presence of AFM1, the level of milk fat, solids-not-fat, and protein were found to be low. Subsequently, the affected animals were divided into two groups, i.e., AFM1 positive control (n = 10) and the experimental group (n = 40). The experimental group of animals were fed the clay-based toxin binder at 25 g/animal/day. A progressive decrease of 19.8% in the AFM1 levels was observed on day 4 and on day 7 (53.6%) in the treatment group. Furthermore, the fat, solids-non-fat and protein increased significantly in the milk. In conclusion, a high level of AFM1 contamination occurs in the milk in Pakistan, affecting the quality of the milk production. Clay-based toxin binders may be used to ensure the milk quality and to protect the animal and consumer health.

In this article, we explore multiscale extreme risk interdependence between four soft agricultural markets – coffee, cocoa, cotton and orange juice. Wavelet correlation and cross-correlation are used to investigate this interlink, and dynamic conditional Value at Risk is used to measure extreme risk. Wavelet correlation results suggest a very weak connection between the markets in the short-term and midterm horizons, which means that investors who operate in the short term or midterm do not have to apply hedging measures against extreme risk. However, the situation is different in the long term, where relatively high correlations are found on the highest wavelet scale in all pairs, except coffee–cocoa. Complementary cross-correlation analysis indicates a lead–lag relationship between the markets. The results are mostly in line with expectations, as bigger markets lead smaller markets. Only in the cases of cocoa–cotton and cocoa–orange juice does the opposite happen.

The effects of long-term various organic fertilisers application on ecosystem respiration components and net carbon budget have rarely been investigated in a hillslope agricultural ecosystem. Hence, we measured the rates of plant autotrophic (R_a) and soil heterotrophic respiration (R_h) from 2011 to 2012 with five treatments: no fertiliser (CK); mineral fertiliser (MF); MF combined with swine manure (MFS); MF combined with crop straw (MFC), and swine manure (SM). Our results confirm that R_a was found to be more temperature-moisture sensitive than R_h, whereas R_h was more temperature sensitive than R_a. Soil microbial biomass carbon (MBC) is a major factor influencing the temperature sensitivity coefficient of Rh (Q₁₀), thereby application of organic fertilisers combined with mineral fertilisers (MFS and MFC) significantly increased annual by 19.3% and 17.2% compared with MF treatment. Annual carbon emissions via R_h and R_a under MFS, MFC and SM treatments were increased by 24.6, 28.5, 48.8% and 6.6, 10.6, 1.8%, respectively compared with MF treatment (4.6 and 23.2 t C/ha/year). Net primary production (NPP) under MFS, MFC and SM treatments were increased by 5.4, 6.01, and 15.6% relative to MF treatment (13.6 t C/ha/year), respectively, and the corresponding net ecosystem carbon budget (NECB) increased by 121.2, 172.8, and 342.4%. Our findings establish that long-term organic fertilisers application increase plant autotrophic, heterotrophic respiration and net ecosystem carbon budget, which can increase the carbon sink function. Overall, crop straw combined with mineral fertiliser is a feasible agronomy practice to increase carbon sink function, reduce soil erosion and maintain crop yield.

Optimum irrigation scheduling and new technologies are the key to the successful practice of modern agriculture and natural resources, such as water management. Α three-year research project was conducted at Velestino, Magnesia, Greece. The aim was to study whether vegetation indices can be used to estimate the crop coefficients of corn in order to apply an intelligent method of irrigation using drones in the future. The normalised difference vegetation index (NDVI), the soil-adjusted vegetation index (SAVI), the renormalised difference vegetation index (RDVI) and a new index [difference infrared – green vegetation index (DIGVI)] were calculated using multispectral photos from a camera adapted to a drone. Three different methods were applied to calculate the crop coefficients: (i) the water balance and the FAO Penman-Monteith reference evapotranspiration, (ii) the climatic data, (iii) the vegetation indices. The irrigation dose covered 100% of the crop water needs according to the soil moisture measurements and the single crop coefficient values. The statistical analysis and the simple linear regression method showed that the corn crop coefficients can be estimated when these indices are used as independent variables.

The degree of the phenotypic similarity and differences between 61 seedless vine varieties was studied by grouping them according to economically important phenological, agrobiological and technological indicators. A multidimensional statistical approach is applied – a cluster analysis, which provides possibilities of establishing relatively homogeneous groups (clusters), based on a set of certain indicators. As the cluster analysis does not perform any tests for the statistical significance of the results, it is combined with a factor analysis, which provides information on the reasons leading to the distribution of the individual varieties in different clusters and the merging of others into one cluster. The applied factor analysis transformed all the studied indicators into seven main components, explaining 76% of the total variance. The transformation of these traits to the corresponding number of factors and the indicators in them, which explain that the varieties belong to the separate clusters, was established. The limits of the phenotypic similarity and differences between the studied seedless vine varieties and the conditional parameters of the polymorphism with their economically significant ampelographic characteristics were determined. The presented grouping can be used for taxonomic purposes, as well as in the selection to create new seedless vine varieties. By applying targeted agro-technical measures, the desired change in the indicators of the first and second factors in the individual groups of traits can be actively influenced.

Most empirical studies evaluating efficiency in the agricultural sector estimate cost efficiency, assuming homogeneity across firms. However, achieving the goal of profit maximisation requires both minimising costs and maximising revenue. Unlike cost efficiency, the concept of profit efficiency considers the errors on both the input side and the output side, and thus, it is more appropriate for evaluating the overall performance of firms. This paper estimates profit efficiency and its determinants in the agricultural sector in Spain using a Bayesian stochastic frontier model with random coefficients. This methodology adequately captures the heterogeneity across firms in the industry. The results reveal, firstly, that agricultural firms in Spain are operating with an average profit inefficiency of 35.78% and, secondly, that this inefficiency is affected, albeit unevenly, by the size and age of the farm. Finally, the implications of these results for managers and public policies are discussed.

Diarrheagenic Escherichia coli (DEC) is a common pathogen around the world that can cause disease with symptoms of diarrhoea. We collected all clinical DEC isolates from diarrhoea samples in three sentinel hospitals for active surveillance of foodborne diseases in Huzhou, China, between 2020 and 2022. The isolates were characterised according to demographic characteristics, time distribution, distribution of suspected culprit foods, antimicrobial results of susceptibility testing, analysis of virulence genes, and pulsed-field gel electrophoresis (PFGE) typing. The positive detection rate was 7.28%, the highest for enteroaggregative E. coli (EAEC) strains, followed by enterotoxic E. coli (ETEC) strains. The predominant virulence genes were astA/pic in EAEC (57.25%) and estIa/estIb in ETEC (17.94%) strains. The proportion of cases was relatively high in children aged 6 years old (15.27%), and the peak of incidence was between June and September. The rates of drug resistance in DEC were high in Huzhou, and the spectrum of drug resistance was wide. The highest rate of drug resistance was for AMP (63.51%), and multiple drug resistance was common. The household was the leading site of DEC infection, and meat and meat products were the main suspected culprit foods (18.15%). EAEC strains showed 52.4–100.00% sequence identity, and ETEC strains showed 52.2–100.00% sequence identity. All cases of DEC infection in Huzhou were sporadic between 2020 and 2022. Strengthening continuous surveillance will be useful in the risk assessment of foodborne diseases caused by DEC.

Wheat leaf rust is a devastating disease worldwide. Identification of leaf rust resistance genes in seedlings and of genes for slow rusting are important in resistance breeding and for gene deployment to control the disease. A total of 108 wheat cultivars from the Beijing and Shandong province and a set of 36 differentials, mostly near-isogenic lines in the background of Thatcher with known leaf rust resistance genes, were tested with 20 Puccinia triticina pathotypes  (FHJS1, FGBQ,PGJQ, SHJT, FHGQ, PHTT1, FHGQ, FHGQ, PHJS, THSM, FHSQ, PHST, PRSQ, FNTQ, PHGM, KHGQ, PHTT2, TGTT, FHJS2, NHHT) at the seedling stage in the greenhouse. The cultivars and differentials were also planted in the field to test their slow rusting resistance using a mixture of races at Baoding, Hebei province and Zhoukou, Henan province, for two consecutive years. Ten leaf rust resistance genes, Lr1, 9, 10, 19, 20, 24, 26, 34, 37 and 46 were identified  in the 57 commercial wheat cultivars, either singly or in combination, using molecular markers. Combined, the results from gene postulation and marker detection showed that one or more of the genes Lr1, 3, 10, 14a, 14b, 26, 36, 39, 34 and 46, were present in 57 cultivars, and that no known resistance gene was present in the remaining 51 cultivars. The resistance gene Lr26 was present in 42 cultivars, and nine cultivars contained Lr1. Lr46 was present in 10 cultivars, as indicated by the presence of the closely linked marker csLV46G22. Seven genotypes were identified as possibly carrying the gene Lr39. Lr3 and 10 were found in six and four genotypes, respectively. The ggenes Lr14b and 34 were each present in three cultivars, while evidence for the presence of Lr14a and 36 was obtained in single genotypes. Finally, 12 cultivars showed slow rusting resistance at two locations in two crop seasons. The identification of leaf rust resistance genes in Chinese wheat cultivars will be helpful for gene deployment to control leaf rust.

The estimation of the level of the soil organic carbon (SOC) content plays an important role in assessing the soil health state. Visible and Near Infrared Diffuse Reflectance Spectroscopy (Vis-NIR DRS) is a fast and cheap tool for measuring the SOC. However, when this technology is applied on a larger area, the soil prediction accuracy decreases due to the heterogeneity of the samples. In this paper, we first investigate the global model performance in the LUCAS EU-wide topsoil database. Then, different clustering strategies were tested, including the k-means clustering based on the principal component analysis (PCA) and hierarchical clustering, combined with the partial least squares regression (PLSR) models, and a clustering based on a local PLSR approach. The best validation results were obtained for the local PLSR approach with R² = 0.75, root mean squared error of prediction (RMSEP) = 13.38 g/kg and ratio of performance to interquartile range (RPIQ) = 2.846, but the algorithm running time was 30.05 s. Similar results were obtained for the k-means clustering method with R² = 0.75, RMSEP = 14.61 g/kg and RPIQ = 2.844, at only 4.52 s. This study demonstrates that the PLSR approach based on k-means clustering is able to achieve similar prediction accuracy as the local PLSR approach, while significantly improving the algorithm speed. This provides the theoretical basis for adapting the spectral soil model to the needs of real-time SOC quantification.

Gluten-free (GF) bakery products differ significantly from standard wheat flour products, usually with inferior characteristics. To reproduce the visco-elastic properties of wheat flour dough, GF bread is balanced by complex formulations based on gluten-free flour and starches, including hydrocolloids. They must ensure maximum similarity with conventional products to reduce the resistance of final consumers to GF products. Identifying formulations or technologies that would help mimic the gluten matrix has been and remains the focus of research in GF product design. Most research focuses on ingredients. This study provides an overview of the various technological strategies in designing GF bakery products: technologies applied to cereals, flours, dough, and final products. The study could broaden the boundaries regarding developing, selecting, and using technologies to design GF products. It would also serve as a support for further research into the development of GF products, perhaps by leveraging local products and ingredients and adapting efficient, low-cost, environmentally friendly (including combined) technologies in such a way as to obtain products with high nutritional, rheological and organoleptic value.

Innate immunity is the organism’s first line of defence, and the receptors of immune cells play a key role. Interleukin 1 receptor-associated kinase 1 and 4 (IRAK1 and IRAK4) are necessary for signal transmission from Toll-like receptors, which are the most important receptors of immune cells. The main objective of this study was to investigate the gene polymorphisms of IRAK1 and IRAK4 in Czech Fleckvieh cattle (CF) and to compare their diversity with other cattle breeds as there is still little information about these genes. PacBio Technology of next-generation sequencing (NGS) was used to detect genetic variability in 164 CF bulls. The results revealed 17 single nucleotide variants (SNVs) in the IRAK1 gene and 12 SNVs and three deletions in the IRAK4 gene. Three methods were then used to determine allelic variability: Sanger sequencing, the primer extension method and Illumina DNA BeadChip microarray in cooperation with the Czech Moravian Breeder’s Corporation. Sanger sequencing enabled analysis of the population variability in single nucleotide polymorphisms (SNPs) rs210710958 and rs48726521 of IRAK1 in 164 CF bulls. SNaPshot genotyping was employed to determine the allelic frequencies of SNP rs211379365 and a novel polymorphism in IRAK1, and rs380202447 in the IRAK4 gene. DNA microarray method, which was applied to 74 CF dairy cows, revealed the allelic frequency of IRAK1 rs110533802 including the frequency 0.07 of mutant allele T. Additional microarray data allowed the comparison of the allelic frequencies among the Czech and Hungarian populations of Holstein dairy cows and beef breed populations. The results show that the functionally significant diversity in the IRAK1 and IRAK4 genes in the studied CF population is rather limited. The higher frequency 0.4 of the T mutant allele of SNP rs110533802 of IRAK1 in Holstein cattle could be the consequence of breeding for milk performance.

Nutrition is an important part of the critical care. The goals of this prospective clinical study were to create a scoring system for the assessment of patient nutritional status and to compare continuous and intermittent bolus feeding of enteral nutrition (EN). A total of 38 patients (21 dogs and 17 cats) were divided into Group C (continuous feeding; 23 patients) and Group I (intermittent feeding; 15 patients). The following variables were recorded for each patient in both groups: gastrointestinal (GI) complications, changes in body weight (BW), body condition score (BCS), muscle condition score (MCS), veterinary nutritional status score (VetNSS), length of hospitalisation and outcome. The normality of the data was assessed using the Shapiro-Wilk test. Fisher’s exact test, Mann-Whitney, Wilcoxon signed-rank tests, and the t-test were used in statistical analyses. Significant changes were found in VetNSS and BW between the 1^st and 5^th day in Group C. The VetNSS seems to be useful for monitoring the nutritional status of hospitalised patients. Anorectic dogs and cats can be successfully supported with either continuous or intermittent feeding methods with a similar risk of GI complications and outcomes.

In potato tubers of four cultivars, the impact of drought and waterlogging stress on total carotenoid content (TCC) and individual carotenoids profile variance and total carotenoids, chlorophylls (a, b, a + b) content in leaves during period 71 days of stress in two-year pot greenhouse experiments were investigated. The different response between potato cultivars was observed after exposure to drought stress (an increase of TCC was in Marabel and Laura cultivars) and after waterlogging stress (in Milva and Marabel cultivars). On average, of all cultivars, both drought and waterlogging stresses caused total carotenoid content to increase with a higher impact of drought stress. In potato tubers, eight carotenoids were identified with the most represented violaxanthin, luteoxanthin, antheroxanthin and lutein. Significant differences in individual carotenoid amounts between cultivars have been determined. On average, drought and waterlogging stresses of all cultivars significantly increased contents of violaxanthin, 9'-(Z)-neoxanthin and luteoxanthin, while antheraxanthin, lutein and zeaxanthin levels decreased. In leaves, both abiotic stresses decreased chlorophyll contents (a, b, a + b) with a very destructive impact of drought stress. While carotenoids accumulated in tubers as a result of stress, the opposite trend was characteristic in leaves, where their content decreased depending on the duration of stress.