Ongoing and future climate change driven expansion of aeroallergen-producing plant species comprise a major human health problem across Europe and elsewhere. There is an urgent need to produce accurate, temporally dynamic maps at the continental level, especially in the context of climate uncertainty. This study aimed to restore missing daily ragweed pollen data sets for Europe, to produce phenological maps of ragweed pollen, resulting in the most complete and detailed high-resolution ragweed pollen concentration maps to date. To achieve this, we have developed two statistical procedures, a Gaussian method (GM) and deep learning (DL) for restoring missing daily ragweed pollen data sets, based on the plant's reproductive and growth (phenological, pollen production and frost-related) characteristics. DL model performances were consistently better for estimating seasonal pollen integrals than those of the GM approach. These are the first published modelled maps using altitude correction and flowering phenology to recover missing pollen information. We created a web page (http://euragweedpollen.gmf.u-szeged.hu/), including daily ragweed pollen concentration data sets of the stations examined and their restored daily data, allowing one to upload newly measured or recovered daily data. Generation of these maps provides a means to track pollen impacts in the context of climatic shifts, identify geographical regions with high pollen exposure, determine areas of future vulnerability, apply spatially-explicit mitigation measures and prioritize management interventions.

The concept of One Health was developed as a successful strategy for addressing global crises that impact the health of animals, humans, and plants. The agriculture industry is facing a huge dilemma due to climate change and the impacts of heat stress, which might pose a threat to mankind in the future. In order to enhance the management of heat stress in the agriculture sector (Agri-heat stress), we suggest implementing the One Health approach. This is because the existing methods employed to alleviate heat stress in both livestock and crop farming may have side-effects on the well-being of animals, plants, humans, and the ecosystem. This review article examines the "dilemma" of mitigating heat stress in animal and crop husbandry. It discusses the One Health approach to heat stress, including a recommended strategy for reducing Agri-heat stress using the One Health approach. The study also highlights the benefits of adopting the One Health approach in mitigating Agri-heat stress. In our opinion, the efficacy of the One Health Approach in reducing Agri-heat stress depends on the process of conceptualization. This process includes recognizing the issue or hypothesis, as well as incorporating cooperating teams in the creation of environmentally friendly approaches. The efficacy and challenges of implementing this notion arise from the precise coordination of resources and collaborators.

The slaughter value of live cattle can be assessed during visual conformation scoring, as well as by examining different molecular genetic information, e.g., the myostatin gene, which can be responsible for muscle development. In this study, the F94L, Q204X, nt267, nt324 and nt414 alleles of the myostatin gene (MSTN) were examined in relation to birth weight (BIW), calving ease (CAE), 205-day weaning weight (CWW), muscle score of shoulder (MSS), muscle score of back (MSB), muscle score of thigh (MST), roundness score of thigh (RST), loin thickness score (LTS), and overall muscle development percentage (OMP) of Charolais weaned calves in Hungary. Multi-trait analysis of variance (GLM) and weighted linear regression analysis were used to process the data. Calves carrying the Q204X allele in the heterozygous form achieved approximately 0.14 points higher MSB, MST and LTS, and 1.2% higher OMP, and gained 8.56 kg more CWW than their counterparts not carrying the allele (p < 0.05). As for the F94L allele, there was a difference of 4.08 kg in CWW of the heterozygous animals, but this difference could not be proved statistically. The other alleles had no significant effect on the evaluated traits.

A total of 46 Swiss alpine does were examined. We analysed the composition of the milk and evaluated the body condition of the animals (BCS: 0.5 to 4.5 scale) on the same day in the last third of lactation. Goats were grouped according to their body condition for statistical calculations. We found that there was a statistically detectable relationship between body condition and milk composition of the goats. Together with the increase of BCS, the fat, protein and mineral contents in the milk increased as well. Significantly more fat, protein and mineral contents were found in the milk (6.01%;3.55%; 0,98%) in case of the well-conditioned (BCS 3.5) animals than in the thin ones (BCS 1.5-2) (4.56%, 3.11%, 0.77%) (P<5%). The concentration of milk sugar was similar between thin and better conditioned groups of animals, so the body condition did not affect these values. The importance of our study is that, the high fat and protein content of milk increases the yield of dairy products. If the animals can produce milk that has higher fat and protein content, than we can produce more dairy products that will bring more economic benefits. The aim of our study was to evaluate the effects of body condition on milk yield and quality (milk composition) in dairy goats.