Fermentacja i proteoliza procesu kiszenia świeżej i podsuszonej zielonki z di- oraz tetraploidalnych form koniczyny czerwonej

form of red clover (2n – 4n), cultivars within the genetic form: 2n (Krynia, Parada), 4n (Jubilatka, Bona) and DM x form, DM x 2n, DM x 4n. Fermentation and proteolysis during the ensilage of red clover were affected primarily by wilting, whereas genetic factors (genetic form, cultivar) exerted a lesser effect. However, the genetic form of red clover affected the true protein content of silage and the extent of proteolysis during the ensiling process. The effect of the genetic form of red clover on the extent of proteolysis in silage (at similar levels of water-soluble carbohydrates and buffering capacity) suggests that diploid and tetraploid red clover cultivars differ with respect to chemical properties (poliphenol oxidase activity, polyphenol content) affecting proteolysis.Analizowano wpływ podsuszenia surowca, formy genetycznej koniczyny czerwonej (2n – 4n), odmiany w obrębie danej formy genetycznej: 2n (Krynia – Parada), 4n (Jubilatka – Bona) oraz SM x forma, SM x 2n, SM x 4n. Uzyskane wyniki wykazały dominujący wpływ czynnika podsuszenia nad czynnikami genetycznymi (forma genetyczna, odmiana) na przebieg fermentacji i zakres proteolizy podczas zakiszania koniczyny czerwonej. Stwierdzono jednak wpływ formy genetycznej koniczyny na zawartość białka właściwego w kiszonkach oraz stopień proteolizy w trakcie zakiszania. Stwierdzony wpływ formy genetycznej koniczyny na zakres proteolizy w kiszonkach (przy zbliżonym udziale cukrów rozpuszczalnych i pojemności buforowej zakiszanych zielonek) pozwala przypuszczać, że występuje zróżnicowanie innych chemicznych cech zielonek wpływających na proteolizę (aktywność PPO, zawartość polifenoli) między formami genetycznymi i odmianami

Socioeconomic disparities in physical activity, sedentary behavior and sleep patterns among 6- to 9-year-old children from 24 countries in the WHO European region

Physical activity, sedentary behavior, and sleep are important predictors of children's health. This paper aimed to investigate socioeconomic disparities in physical activity, sedentary behavior, and sleep across the WHO European region. This cross-sectional study used data on 124,700 children aged 6 to 9 years from 24 countries participating in the WHO European Childhood Obesity Surveillance Initiative between 2015 and 2017. Socioeconomic status (SES) was measured through parental education, parental employment status, and family perceived wealth. Overall, results showed different patterns in socioeconomic disparities in children's movement behaviors across countries. In general, high SES children were more likely to use motorized transportation. Low SES children were less likely to participate in sports clubs and more likely to have more than 2 h/day of screen time. Children with low parental education had a 2.24 [95% CI 1.94-2.58] times higher risk of practising sports for less than 2 h/week. In the pooled analysis, SES was not significantly related to active play. The relationship between SES and sleep varied by the SES indicator used. Importantly, results showed that low SES is not always associated with a higher prevalence of "less healthy" behaviors. There is a great diversity in SES patterns across countries which supports the need for country-specific, targeted public health interventions.The authors gratefully acknowledge support from a grant from the Russian Government in the context of the WHO European Office for the Prevention and Control of NCDs. Data collection in the countries was made possible through funding from: Croatia: Ministry of Health, Croatian Institute of Public Health and WHO Regional Office for Europe. Albania: World Health Organization (WHO) Country Office Albania and the WHO Regional Office for Europe. Bulgaria: WHO Regional Office for Europe. Czech Republic: Ministry of Health of the Czech Republic, grant nr. AZV MZČR 17-31670 A and MZČR–RVO EÚ 00023761. Denmark: The Danish Ministry of Health. France: Santé publique France, the French Agency for Public Health. Georgia: WHO. Ireland: Health Service Executive. Italy: Italian Ministry of Health; Italian National Institute of Health (Istituto Superiore di Sanità). Kazakhstan: the Ministry of Health of the Republic of Kazakhstan within the scientific and technical program. Kyrgyzstan: World Health Organization. Latvia: Centre for Disease Prevention and Control, Ministry of Health, Latvia. Lithuania: Science Foundation of Lithuanian University of Health Sciences and Lithuanian Science Council and WHO. Malta: Ministry of Health. Montenegro: WHO and Institute of Public Health of Montenegro. Poland: National Health Programme, Ministry of Health. Portugal: Ministry of Health Institutions, the National Institute of Health, Directorate General of Health, Regional Health Directorates and the kind technical support from the Center for Studies and Research on Social Dynamics and Health (CEIDSS). Romania: Ministry of Health. Russian Federation: WHO. San Marino: Health Ministry. Spain: the Spanish Agency for Food Safety & Nutrition. Tajikistan: WHO Country Office in Tajikistan and Ministry of Health and Social Protection; Turkmenistan: WHO Country Office in Turkmenistan and Ministry of Health. Turkey: Turkish Ministry of Health and World Bank. Austria: Federal Ministry of Labor, Social Affairs, Health and Consumer Protection of Austria.info:eu-repo/semantics/publishedVersio

Efficiency of anaerobic decomposition of manure from cattle fed with Sida hermaphrodita silage

The study aimed to determine the influence of addition of Sida hermaphrodita silage into cattle forage on efficiency of methane fermentation of cattle manure. Efficiency of methane fermentation connected with amount and composition of produced biogas was determined with respirometric tests. Methane fermentation was performed in mesophilic conditions with initial organic compounds loading of 5 g VS/(dm3 ∙d). The study was divided into two stages. In first stage, substrate in methane fermentation was only cattle manure. In second stage, substrate in methane fermentation was cattle manure and Sida silage. There were three series of experiments in each stage, due to cattle manure was obtained from cattle fed with forage differ in contribution of Sida silage (0 – series 1, 17% – series 2, 34% – series 3). In the stage 1, biogas production of 223±15 L/kg VS, 247±8.5 L/kg VS and 231±18 L/kgVS was noted in the series 1, 2, and 3, respectively. The addition of Sida silage to the cattle forage had no impact on biogas potential of cattle manure. In the stage 2, the same tendency was observed. No differences in biogas composition between series were also observed. Methane content in biogas was about 60%

Ensiling suitability and microbiological quality of Virginia fanpetals biomass

Virginia fanpetals biomass is relatively suitable for ensiling when stem structure is damaged during harvest. Virginia fanpetals biomass is characterized by extensive lactic acid fermentation with a low proportion of volatile fatty acids (VFAs). A microbiological evaluation confirmed the predominance of lactic acid bacteria and the presence of a small group of fungi. Ensiling effectively eliminated toxin-producing Aspergillus spp.eliminated toxin-producing Aspergillus spp.The accepted manuscript in pdf format is listed with the files at the bottom of this page. The presentation of the authors' names and (or) special characters in the title of the manuscript may differ slightly between what is listed on this page and what is listed in the pdf file of the accepted manuscript; that in the pdf file of the accepted manuscript is what was submitted by the author

Effects of Dietary Substitution of Alfalfa Silage with Virginia Fanpetals Silage in Lactating Polish Holstein Friesian Dairy Cows

The aim of this study was to evaluate the effect of partial or complete substitution of alfalfa silage with Virginia fanpetals silage in rations based on maize silage on feed intake, digestibility, ruminal fermentation and milk yield and physicochemical characteristics. Nine Polish Holstein Friesian cows in the second half of lactation were fed three experimental diets in a replicated 3 × 3 Latin square design as follows: maize silage + alfalfa silage, maize silage + alfalfa silage and Virginia fanpetals silage in a 50:50 ratio, maize silage + Virginia fanpetals silage. Complete substitution caused an increase in dry matter intake (DMI), total volatile fatty acids (VFA), acetic acid to propionic acid (A/P) ratio, N-NH3 in the rumen contents and milk urea and a decrease in the feed conversion ratio. The partial and complete substitution changed the profile of milk fatty acids, resulting in a slight increase in saturated fatty acids (SFA) and a decrease in unsaturated fatty acids (UFA) as well as in all functional fatty acids except vaccenic acid. The most promising production effects were achieved through partial substitution of alfalfa silage with the Virginia fanpetals silage

Fermentation and Proteolysis During the Ensilage of Wilted and Unwilted Diploid and Tetraploid Red Clover

The effects of the following factors were analyzed in the study: wilting degree, genetic form of red clover (2n – 4n), cultivars within the genetic form: 2n (Krynia, Parada), 4n (Jubilatka, Bona) and DM x form, DM x 2n, DM x 4n. Fermentation and proteolysis during the ensilage of red clover were affected primarily by wilting, whereas genetic factors (genetic form, cultivar) exerted a lesser effect. However, the genetic form of red clover affected the true protein content of silage and the extent of proteolysis during the ensiling process. The effect of the genetic form of red clover on the extent of proteolysis in silage (at similar levels of water-soluble carbohydrates and buffering capacity) suggests that diploid and tetraploid red clover cultivars differ with respect to chemical properties (poliphenol oxidase activity, polyphenol content) affecting proteolysis

Socioeconomic disparities in physical activity, sedentary behavior and sleep patterns among 6- to 9-year-old children from 24 countries in the WHO European region

Physical activity, sedentary behavior, and sleep are important predictors of children's health. This paper aimed to investigate socioeconomic disparities in physical activity, sedentary behavior, and sleep across the WHO European region. This cross-sectional study used data on 124,700 children aged 6 to 9 years from 24 countries participating in the WHO European Childhood Obesity Surveillance Initiative between 2015 and 2017. Socioeconomic status (SES) was measured through parental education, parental employment status, and family perceived wealth. Overall, results showed different patterns in socioeconomic disparities in children's movement behaviors across countries. In general, high SES children were more likely to use motorized transportation. Low SES children were less likely to participate in sports clubs and more likely to have more than 2 h/day of screen time. Children with low parental education had a 2.24 [95% CI 1.94–2.58] times higher risk of practising sports for less than 2 h/week. In the pooled analysis, SES was not significantly related to active play. The relationship between SES and sleep varied by the SES indicator used. Importantly, results showed that low SES is not always associated with a higher prevalence of “less healthy” behaviors. There is a great diversity in SES patterns across countries which supports the need for country-specific, targeted public health interventions.</p

Socioeconomic disparities in physical activity, sedentary behavior and sleep patterns among 6- to 9-year-old children from 24 countries in the WHO European region

Physical activity, sedentary behavior, and sleep are important predictors of children's health. This paper aimed to investigate socioeconomic disparities in physical activity, sedentary behavior, and sleep across the WHO European region. This cross-sectional study used data on 124,700 children aged 6 to 9 years from 24 countries participating in the WHO European Childhood Obesity Surveillance Initiative between 2015 and 2017. Socioeconomic status (SES) was measured through parental education, parental employment status, and family perceived wealth. Overall, results showed different patterns in socioeconomic disparities in children's movement behaviors across countries. In general, high SES children were more likely to use motorized transportation. Low SES children were less likely to participate in sports clubs and more likely to have more than 2 h/day of screen time. Children with low parental education had a 2.24 [95% CI 1.94-2.58] times higher risk of practising sports for less than 2 h/week. In the pooled analysis, SES was not significantly related to active play. The relationship between SES and sleep varied by the SES indicator used. Importantly, results showed that low SES is not always associated with a higher prevalence of "less healthy" behaviors. There is a great diversity in SES patterns across countries which supports the need for country-specific, targeted public health interventions