546 Meat quality of Suffolk and Bergamasca lambs slaughtered at 90 days of age

Twenty lambs, 10 Suffolk (S) e 10 Bergamasca (B) born from single (SI) and twin type of birth (TW), were employed. Lambs fed the same diet. Chemical-physical analysis were performed on raw Longissimus lumborum (LL). B showed the lowest cooked loss on cooked LL, the highest value of a* and b* on raw meat. As regard fatty acid composition, LL of B showed the highest saturated fatty acids and the lowest value of polyunsaturated acids. Twin subjects showed raw meat with the lowest value of ether extract and with a healthy fatty acid composition

In vita performance and slaughter characteristics of Suffolk and Bergamasca lambs at 90 days of age

The objective of the present study was to compare in vita performance and carcass characteristics of Bergamasca and Suffolk lambs of 90 days of age. Bergamasca (15) and Suffolk (15) male lambs, originated from single and twin births equally represented, were weighed twice a month. Lambs were slaughtered to evaluate post-mortem characteristics and EUROP conformation score. Suffolk and Bergamasca lambs of 90 days of age produced carcasses with good quality; Suffolk had more compact carcasses than Bergamasca lambs whereas they showed higher percentage of intermuscular fat deposit. The results suggested that the two breeds raised with the forage-based feeding system could produce carcasses of good quality

Discriminant analysis as a tool to classify farm hay in dairy farms (NIRS analysis dataset)

Discriminant analysis as a tool to classify farm hay in dairy farms Aldo Dal Prà ab, Riccardo Bozzi c, Silvia Parrini c, Alessandra Immovilli d, Roberto Davolio d, Fabrizio Ruozzi d, Maria Chiara Fabbri c a Centro Ricerche Produzioni Animali - Soc. Cons. p. A., Viale Timavo 43/2, 42121 Reggio Emilia, Italy; b Institute of BioEconomy-National Research Council (IBE-CNR), Via Giovanni Caproni 8, 50145 Florence, Italy; c Department of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, 50144, Florence, Italy. d Fondazione CRPA Studi Ricerche - ETS, Viale Timavo 43/2, 42121 Reggio Emilia, Italy. Acknowledgments The authors acknowledge and are grateful to the farms involved in this study. Abstract Hay is one of the primary constituents of ruminant feed, and rapid classification systems of nutritional value are essential. A reliable approach to evaluating hay quality is a combination of visual combined inspection by NIRS analysis. The analysis was carried out on 1,639 samples of hay collected from 2016 to 2021 in northern Italy. Discriminant analysis (DAPC) on five hay types (FOM, forage mixtures; APG, first alfalfa cutting with prevalence of graminaceous >50 %; PRA, prevailing alfalfa >50 %; PUA, purity alfalfa >95 %; and PEM, permanent meadows) was performed by ex-ante visual inspection categorization and NIRS analysis. This study aimed to provide a complementary method to differentiate hay types and classify unknown samples. Two scenarios were used: i) all data were used for model training, and the discriminant functions were extracted based on all samples; ii) the assignment of each group was assessed without samples belonging to the training set group. DAPC model resulted in an overall assignment success rate of 66%; precisely, the success was 84, 79, 69, 37, and 27 % for PUA, FOM, PRA, APG, and PEM, respectively. In the second scenario, three groups showed percentages of posterior assignment probability higher than 70% to only one group: PUA with PRA (~ 99%), PRA with PUA (~71 %), and PEM with FOM (~75%). Discriminant analysis can be successfully used to differentiate hay types and could also be used to assess factors related to hay quality in addition to NIRS analysis

Greenhouse Gas (GHG) Emissions from Honey Production: Two-Year Survey in Italian Beekeeping Farms

The objective of this study was to quantify the climate change (CC) impact of the honey supply chain in different beekeeping systems and farms, over two consecutive years. The CC impact category is quantified as kg CO2 equivalent and it evaluates the GHG emissions, mainly CO2, N2O, and CH4. The results ranged from 0.44 to 3.18 (p = 0.039) kg CO2e/kg honey with higher values in 2021 than 2020. The main contributors to climate change of the honey supply chain are represented by transport and supplemental feeding inputs. The beekeeping system (migratory or stationary) influenced CC: the contribution to CC for stationary farms was estimated at 0.58 kg CO2e/kg honey and 2.48 for migratory ones (p p p p < 0.05). Further studies are needed to better explain the effects of weather on honey production, as well as environmental impact

Effects of a Ceiling Fan Ventilation System and THI on Young Limousin Bulls’ Social Behaviour

The study investigated the relationship between the temperature humidity index (THI) and the behaviour of 24 young fattening Limousin bulls reared in two farms in Tuscany, Italy. In each farm, six animals were undergone to ceiling fans (switched on at THI values up to 72), and six animals represented the control group. The trial lasted three days for two consecutive weeks in August 2020. Behavioural observations were conducted using scan sampling technique and eating, ruminating, drinking, resting and other social activities were registered every 5 min, from 9.30 am to 4.00 pm. Two different microclimatic conditions were evaluated to assess the effect of the ventilation system: normal (THI < 78) and alert (THI ≥ 78) conditions. Results showed that the ventilation system had significant effects increasing inactivity and lying down compared to control groups and decreasing eating and drinking activities. THI alert condition caused a significant decrease in eating and an increase in lying down behaviours. Ventilation system did not influence the animals’ cleanliness. The ceiling fans’ efficiency in changing the behaviour of young fattening bulls was demonstrated but further studies are needed to assess the ventilation system effects, especially during longer heat stress periods

Effects of Harvest Time on the Yield and Quality of Winter Wheat Hay Produced in Northern Italy

The aim of this work was to study the yield and nutritional characteristics of winter wheat hay. A selection of cultivars recommended for three main purposes: grain, whole plant (biomass) and dual purpose (grain and biomass) production were cultivated and harvested from heading to grain dough stages. Yield dry weight (YDW), dry matter (DM) and undigested neutral detergent fiber (uNDF) increased with advancing maturity, ranging from 9 t ha&minus;1, 20 and 11% of DM to 16 t ha&minus;1, 43 and 17% of DM, respectively; while crude protein (CP) and neutral detergent fiber (NDF) decreased from 11 and 59% of DM to 6 and 54% of DM, respectively. Our study showed that dual purpose winter wheat cultivars displayed similar performance of CP, NDF and net energy for lactation, when harvested at heading or grain milk stages. In addition, winter wheat recommended to be harvested as whole plant showed similar values of YDW, sugar and starch contents, when harvested at grain dough and milk stages. These characteristics are strategic in hay production, allowing a more flexible harvesting strategy. These results might be useful to improve the hay production, given useful information on harvest time and improving agricultural sustainability covering the soil in autumn and winter

Evaluation of triticale anaerobic digestion in a double cropping system: Relation between biomass yield, chemical composition, and biomethane production

7 Figuras.-- 1 TablaFor sustainable biomethane production, energy crops should not compete for land against feed and food. In response to this requirement, a set of practices for an innovative way to produce food and biomethane was developed in Italy with the Biogasdoneright™ model, which introduces the double-cropping system along with digestate fertilization and minimum tillage. Triticale is a promising feedstock as energy crop in such systems. Ninteen varieties of triticale harvested at milk and dough development stages were evaluated. Principal component analysis showed that cellulose content positively affects methane production whereas starch content has only a very weak relation with specific methane yield and methane formation rate. Despite these relations, triticale chemical composition did not influence the profitability of bioenergy production as much as the total biomass solids yields, the total solids concentration at harvest, and the timing of growth. Triticale can be considered a suitable energy crop for biomethane targeting at least 4600 Nm3 CH4 per hectare. © 2022 Society of Chemical Industry and John Wiley & Sons, Ltd.This research was funded by Emilia Romagna regional law n. 28/98, as part of the project ‘Confronto varietale triticale per biogas’.Peer reviewe

Influence of Wet Ageing on Beef Quality Traits

Fresh samples of Longissimus thoracis of Charolais (n = 12), Romagnola (n = 15), Limousine (n = 77), and crossbreed (n = 62) animals were evaluated with different storage periods (0, 4, 9, and 14 days). Proximate analysis (i.e., pH, humidity, color, free water content, and physical parameters) was performed for each sample. The data obtained were evaluated with a mixed model, setting 5 fixed effects (breed, storage time, animals age, EUROP conformation, number of animal transports) and the animal as random. The results demonstrated that meat quality was affected mainly by the wet ageing period and that the visual and tactile parameters were also found to be susceptible to the storage time. The conservation entailed a decrease in meat humidity and an increase in L* and b* traits; it also led to a decrease in the hardness of the sample, in turn affecting the other texture profile analysis parameters considered. Fixed effects affected in different ways the traits analyzed i.e., pH and humidity changed with breed, as well as with EUROP classification, animals’ age for some TPA parameters, and the number of animal transports for both visual and tactile parameters. Wet ageing influenced the meat quality, often improving it, confirming how important further research would be to identify precise storage times in relation to the parameters studied

Stable isotopes, deuterium excess (<i>d</i>), and fractionation factors (FF) in dairy cow fluids in Farm CR.

<p>s.e.m. = standard error of the mean</p><p>Values within a row without a common letter differ for P < 0.05.</p><p>Values in the same column with asterisk differ for P < 0.05 (*), P < 0.01 (**) or P < 0.001 (***).</p><p>Stable isotopes, deuterium excess (<i>d</i>), and fractionation factors (FF) in dairy cow fluids in Farm CR.</p