Rising global population would force farmers to amplify food production substantially in upcoming 3–4 decades. The easiest way to increase grain production is through expanding cropping area by clearing uncultivated land. This is attained by permitting deadly loss of carbon (C) stocks, jeopardizing ecosystem biodiversity and deteriorating environmental quality. We aim to propose key agronomical tactics, livestock management strategy and advance approaches for aquaculture to increase productivity and simultaneously reduce the environmental impacts of farming sector. For this, we considered three major sectors of farming, i.e. agriculture, fishery and dairy. We collected literatures stating approaches or technologies that could reduce GHG emission from these sectors. Thereafter, we synthesized strategies or options that are more feasible and accessible for inclusion in farm sector to reduce GHG emission. Having comprehensively reviewed several publications, we propose potential strategies to reduce GHG emission. Agronomic practices like crop diversification, reducing summer fallow, soil organic carbon sequestration, tillage and crop residue management and inclusion of N₂-fixing pulses in crop rotations are some of those. Livestock management through changing animals’ diets, optimal use of the gas produced from manures, frequent and complete manure removal from animal housing and aquaculture management strategies to improve fish health and improve feed conversion efficiency could reduce their GHG emission footprint too. Adapting of effective and economic practices GHG emission footprint reduction potential of farming sector could make farming sector a C neutral enterprise. To overcome the ecological, technological and institutional barriers, policy on trade, tax, grazing practice and GHG pricing should be implemented properly.

Maintaining and preserving the environment from pollutants are of utmost importance. Particulate matter (PM) is considered one of the main air pollutants. In addition to the harmful effects of PM in the environment, it has also a negative indoor impact on human and animal health. The specific forms of damage of particulate emission from livestock buildings depend on its physical properties. The physical properties of particulates from livestock facilities are largely unknown. Most studies assume the livestock particles to be spherical with a constant density which can result in biased estimations, leading to inaccurate results and errors in the calculation of particle mass concentration in livestock buildings. The physical properties of PM, including difference in density as a function of particle size and shape, can have a significant impact on the predictions of particles’ behaviour. The aim of this research was to characterize the physical properties of PM from different animal houses and consequently determine PM mass concentration. The mean densities of collected PM from laying hens, dairy cows and pig barns were 1450, 1520 and 2030 kg m⁻³, respectively, whilst the mass factors were 2.17 × 10⁻³, 2.18 × 10⁻³ and 5.36 × 10⁻³ μm, respectively. The highest mass concentration was observed in pig barns generally followed by laying hen barns, and the lowest concentration was in dairy cow buildings. Results are presented in such a way that they can be used in subsequent research for simulation purposes and to form the basis for a data set of PM physical properties.

Confined animal feeding operations generate high levels of airborne antibiotic-resistant bacteria, including pathogenic strains that may pollute the local environment or pose a health risk to both animals and workers. However, the communities of airborne antibiotic-resistant bacteria in such operations are not fully understood, especially in fine particles that penetrate deeply into the respiratory system. To address these gaps, manures and aerosols from inside and outside of animal houses were collected, and the characteristics of antibiotic-resistant bacteria were analyzed using Illumina MiSeq sequencing to amplify the V3–V4 region of bacterial 16S rRNA. The results indicated that animal species was the main factor that influenced the bacterial community of both manure and aerosol samples, while antibiotic selection was the major factor that influenced the bacterial community of aerosol samples from the inside of animal houses. An obvious clustering difference was detected between manure and aerosol samples. No significant difference in both alpha- and beta-diversity indices was detected between fine and coarse particles. As a key genus, Staphylococcus was found to drive the difference in the bacterial community of tetracycline-resistant bacteria to total culturable bacteria and erythromycin-resistant bacteria and also the difference in the bacterial community from aerosol to manure samples. Current data would help in evaluating the risk to human and livestock health and tracing the source of airborne antibiotic-resistant bacteria in animal farms.