Agriculture is one of the main sources of greenhouse gas (GHG) emissions and has great potential for mitigating climate change. The aim of this study is to analyze the amount, dynamics of changes, and structure of GHG emissions from agriculture in the EU in the years 2005–2018. The research based on data about GHG collected by the European Environment Agency. The structure of GHG emissions in 2018 in the EU is as follows: enteric fermentation (45%), agricultural soils (37.8%), manure management (14.7%), liming (1.4%), urea application (1%), and field burning of agricultural residues (0.1%). Comparing 2018 with the base year, 2005, emissions from the agricultural sector decreased by about 2%, which is less than the assumed 10% reduction of GHG emissions in the non-emissions trading system (non-ETS) sector. The ambitious goals set by the EU for 2030 assume a 30% reduction in the non-ETS sector. This will require a significant reduction in GHG emissions from agriculture. Based on the analysis of the GHG emission structure and available reduction techniques, it was calculated that in this period, it should be possible to reduce emissions from agriculture by about 15%.

Population growth together with the increase in the standard of living forces modern agriculture to supply more and more products at relatively low prices. This leads to the intensification and concentration of agriculture -especially livestock production. Although intensive farming successfully implements economic goals, it may also cause negative environmental effects. The increased use of fertilizers, plant growth regulators and protection products (pesticides) raises the public's concerns about the quality of products, consumer health

The aim of the study was to carry out a research on the use of milking robots compared to utilization of milking parlors. There was no such study in literature on the milking farms in Poland and abroad. The presented study, except for scientific knowledge, provides also practical utilization as a good agriculture practice on the farm. Tests were carried out simultaneously in two barns belonging to the same farm. In barn K, milking was used in the rib bone milking parlor, and in barn N with milking robots. The results covering three years of research from 2016 to 2018 were presented. It was concluded that the milk yield of young cows in both barns was almost identical, while in the second and subsequent lactation, cows in barn N had higher yield. In barn N, about 3% more milk was obtained from LKS below 400 thaus. ml−1, compared to barn K. Time of cows’ utilization in both cowsheds was similar, while in barn N the life efficiency of culled cows was higher by about 1,000 kg of milk. The level of deficiency and its structure, due to the number and stage of lactation, were very similar in both barns. In barn N, the uniformity of milk production throughout the year was more even compared to barn K. There were reserves in the use of the milking robot due to the low number of cows per milking stand and the need to better adaptation of milking times to current cow performance. The milking robot improves cow welfare and ensures high milk yield and good cytological quality of milk.

The aim of this study was to examine the impact of inside temperature and relative humidity, ventilation rate and gas concentrations (NH3, N2O, CO2) on odour emissions from deep-litter piggery. The studied facility had temperature-controlled mechanical ventilation. The measurements were conducted from March to June 2014. During the research, selected microclimate parameters, as well as number and mass of animals were monitored and air samples were collected (two samples of air in each series of measurements). Temperature and relative humidity were measured using Testo 435-4 multifunctional measuring instrument. To measurements of gas concentrations was used the photo-acoustic spectrometer Multi Gas Monitor Model 1312. The concentration of odours in the air samples was determined by dynamic olfactometry with the TO 8 olfactometer, according to PN-EN 13725:2007. The odour concentration ranged from 450 to 2004 ouE · m–3 (mean 1048 ouE · m–3) and the mean odour emission factor was from 5.76 to 46.79 ouE · (s · pig)−1 (mean 20.93 ouE· (s · pig)−1.The statistical analysis showed that the inside temperature explained most of the variability of the odour concentration and the relationship was described by equation: cod = 5634 – 197 Tinside (R2 = 0.82, p ≤ 0.05). For odour emission factor, two parameters: the inside temperature and ventilation rate, explained most of the variability, according to the equation: EFod = 108 + 1939 VR – 5.5 Tinside (R2 = 0.81, p ≤ 0.05).

Due to the intensification and concentration of agriculture and the interpenetration of residential and agricultural areas, odours are an important air pollutant. The changes taking place in rural areas mean that not all inhabitants of these areas are involved in agricultural activities, and there are new people looking for an idyllic life in the countryside. In recent years, there has been an increase in the number of complaints concerning odour emissions from agricultural sources. The aim of the study was to compare odour emissions from selected livestock buildings for various animal species in the Great Poland Voivodeship. The assessment of odour concentrations was made in accordance with EN 13725: 2003 using the TO 8 olfactometer in the accredited olfactometric laboratory of the Institute of Technology and Life Sciences National Research Institute in Poznań. The fattening house showed the highest odour burden for the surroundings (mean odour concentration and odour emission factor: 450 ouE·m3 and 0.419 ouE·s−1·kg−1, respectively). In the case of buildings for poultry and dairy cows, the differences in the emission factors were not large. The emission factor for poultry (0.232 ouE·s−1·kg−1) was 22% higher than that for dairy cows (0.190 ouE·s−1·kg−1). Conversely, the mean concentration in the hen house (281 ouE·m3) was 18% lower than that in the dairy cow barn (342 ouE·m3).