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Welcome to the Open Repository of research and development results of the Mendel University in Brno. The repository serves to archive Open Access publications of university authors. Publications are automatically sent from the OBD system to the repository in the DSpace system.

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Recent Submissions

Access status: Open Access ,
Amino Acid Determination in Kernels of Selected Apricot and Almond Cultivars
(American Society for Horticultural Science, 2026) Mrázová, Martina; Malík Lacková, Zuzana; Zezulová, Eliška; Ondrášek, Ivo; Nečas, Tomáš
Apricot fruit are a popular and highly sought-after type of fruit. However, few people are aware that in cultivars with sweet kernels, these kernels are suitable for consumption. Although they are a rich source of nutritionally valuable com pounds, the kernels often remain underutilized during fruit processing. In our study, 15 apricot cultivars of different origins were analyzed. In addition, three almond culti vars were included in the experiment for comparison. Kernel weight and taste were evaluated, and these data are summarized in a quality assessment of the studied apricot kernels. The results show that the total amino acid content in the kernels ranged from 125.70 to 305.32 mg.g-1 dried kernels and was not dependent on kernel origin, weight, or taste. The main amino acids identified in apricot kernels, as well as in almond kernels, with significant content levels were glutamic acid (29.92-74.47 mg.g-1), aspartic acid (13.20-39.29 mg.g-1), arginine (10.17-69.51 mg.g-1), glycine (7.39-16.25 mg.g-1), and alanine (6.46-16.59 mg.g-1). Specifically, the Canadian cultivar Harlayne showed the highest amino acid content; however, due to the sweet-bitter taste of its kernel, it may be more suitable for medicinal use rather than for the direct consumption of kernels.
Access status: Open Access ,
Impact of claw lesions on dairy cow energy-corrected milk yield: Differential and persistent effects up to 120 days post-treatment
(Elsevier Science Ltd., 2026) Havlíček, Zdeněk; Langová, Lucie; Vrtková, Irena; Doležal, Petr; Kouřil, Petr; Szwedziak, Katarzyna
Claw lesions can substantially reduce milk production in dairy cows, yet quantification by lesion type and disease phase is limited. We analysed 5,947 daily milk yield records from 818 cows to evaluate the impact of specific claw lesions on energy-corrected milk (ECM), considering lesion type and disease phases (pre-treatment, treatment, post-treatment). Mixed linear models revealed significant effects of the diagnosis x phase interaction (P<0.001) and lactation order (P<0.001). Healthy cows maintained a stable LS Mean ECM of 33.91+-0.19 kg/day. The largest production loss occurred in interdigital phlegmon during treatment (reduction of 4.8 kg/day relative to healthy cows). Reductions were also observed in digital dermatitis (DD), white line disease (WL), sole ulcer (SU), toe ulcer (TU), and combination lesions, with persistent deficits for some claw horn lesions post-treatment (e.g., SU: β=-1.9, P=0.05). A significant pre-treatment elevation in ECM observed for white line disease (+2.4 kg/day) likely reflects the higher baseline production and increased susceptibility of these individuals to claw lesions, rather than a beneficial effect of the pre-clinical disease phase. These findings highlight the importance of early detection, effective treatment, and preventive claw trimming and claw care to maintain milk production, minimise economic losses, and ensure animal welfare.
Access status: Open Access ,
The effect of two different defatted insect meals in Japanese quail diets on the performance, ileal morphometry, apparent ileal digestibility and blood parameters
(Elsevier Science Inc., 2026) Kudlová, Lenka; Novotný, Jakub; Čumplík, Lukáš; Dvořáčková, Nikola; Řiháček, Michal; Zálešáková, Dana; Horáková, Lucie; Pavlata, Leoš; Šťastník, Ondřej
There is a pressure to replace soybean meal in poultry diets with alternative protein sources, in order to ensure the sustainability of animal nutrition. The aim of this study was to evaluate the effect of two insect meals on performance, ileal morphometry, organs weight and blood biochemical parameters in Japanese quail. A total of 600 seven-day-old unsexed Japanese quail were equally divided into three groups (with four replicates each). The first group was the Control group (C) without insect meals (0 g/kg). The two experimental groups received diets containing 100 g/kg of defatted mealworm meal (TM) or defatted black soldier fly larvae meal (HI). The trial lasted from 7th to 47th days of birds age. Defatted black soldier fly larvae meal positively affected body weight gain in starter phase and provided comparable results in other parameters to the C group. Whereas defatted mealworm meal showed some negative effects on growth, ileal morphology and ileal digestibility of crude protein. Several blood parameters were changed significantly over time (P < 0.05), indicating that dietary treatments influenced quail physiology. Overall, these results indicate that defatted black soldier fly larvae meal is a promising alternative protein source for Japanese quail, providing comparable or superior results compared to conventional feed.
Access status: Open Access ,
Integrating spectral, textural, and topographic features for ecological forest type classification with XGBoost
(Elsevier Science BV, 2026) Kovárník, Richard; Hampel, David; Janová, Jitka
Forests play a critical role in ecological stability and resource management, and their sustainable management increasingly relies on advanced remote sensing and data-driven approaches. In this study, we evaluate the potential of multimodal satellite data for detailed ecological forest site type classification within a heterogeneous forested region of the Czech Republic. We compiled a comprehensive dataset of 156 features integrating Sentinel-2 multispectral bands, Sentinel-1 SAR backscatter, vegetation indices, seasonal median composites, texture metrics, topographic variables, and a high-resolution canopy height model. Using this feature set, an Extreme Gradient Boosting (XGBoost) classifier was trained to map 16 ecological forest site type groups, dominated by rich/enriched beech-oak forests, beech-oak forests, and loamy oak-beech forests. The model achieved an overall accuracy of 88.4% and a macro-averaged F1-score of 0.89, with the highest classification performance obtained for fir forests, other beech forests, and calcareous forest types. Feature importance analysis shows that radar texture features, seasonal vegetation indices, and topographic variables are among the most influential predictors, while canopy height texture metrics further enhance class separability. These results demonstrate that combining diverse remote sensing modalities with advanced machine learning enables reliable, fine-scale mapping of complex ecological forest site types, extending beyond traditional tree-species classification and offering a scalable and cost-effective tool for ecological research and forest management planning.
Access status: Open Access ,
The impact of historical corporate irresponsibility on environmental, social and governance compliance in the EU
(Nature Publishing Group, 2026) Chmelíková, Gabriela; Chládková, Helena; Kučerová, Renata; Špička, Jindřich
This study examines whether historical corporate social irresponsibility is associated with later compliance with environmental, social and governance principles among European business populations. Using data from RepRisk for the period 2015-2020, we analyse environmental, social and governance incidents reported for firms in European Union countries and aggregate the information at the country-year level. We operationalise corporate misconduct with two complementary measures. First, we measure the prevalence of environmental, social and governance incidents, defined as the share of firms with at least one environmental, social and governance incident in a given country and year. Second, we measure the intensity of environmental, social and governance incidents, defined as the average RepRisk, reputational risk indicator, among firms involved in incidents in a given country and year. We test whether past intensity is associated with subsequent prevalence using panel regression models with macroeconomic controls. The results show a statistically significant negative relationship between lagged intensity and current prevalence, suggesting that more severe past shocks are followed by a lower share of incident-involved firms at the country level. Interpreted through institutional theory and path dependency, the findings indicate that scandals may function as institutional signals that contribute to shifts in acceptable business practices beyond the firms directly involved. This study provides implications for policy by emphasising the role of transparent monitoring, consistent reporting standards, and stakeholder oversight in supporting sustainable corporate conduct.