How to reduce the carbon footprint of the agricultural sector? Factors influencing farmers' decision to participate in carbon sequestration programs.

Mitigating climate change by sequestering carbon in agricultural soils through humus formation is a crucial component of sustainable agriculture. Humus programs that are designed to incentivize farmers to build more humus are still recent innovations, so current knowledge about farmers' motivation to participate is limited. This study examines the adoption of non-governmental humus programs to promote carbon sequestration by analyzing farmers' willingness to participate in humus programs and influential factors. We specifically investigate behavioral factors underlying farmers' adoption of humus programs using the Theory of Planned Behavior. To this end, we collected data using an online survey with 190 German farmers and applied partial least squares structural equation modeling. The results show that (i) perceived economic benefits, (ii) the actions of fellow farmers, and (iii) farmers' sense of responsibility with regard to climate change have a statistically significant influence on farmers' intention to participate in a humus program. In contrast, the perceived ecological benefits, political pressure, the possibility of establishing humus-building measures, and prior knowledge of humus programs have no statistically significant influence. Our findings suggest that farmers' decision to participate in humus programs is strongly influenced by the financial benefits, but the actions and thoughts of other farmers, as well as their own moral claims regarding climate change, also play a crucial role. We found that farmers lack knowledge about the registration and general functioning of humus programs, which can currently be one of the biggest barriers to participation in such initiatives.

Local carbachol application induces oral microvascular recruitment and improves gastric tissue oxygenation during hemorrhagic shock in dogs.

Introduction: Hemorrhagic shock is characterized by derangements of the gastrointestinal microcirculation. Topical therapy with nitroglycerine or iloprost improves gastric tissue oxygenation but not regional perfusion, probably due to precapillary adrenergic innervation. Therefore, this study was designed to investigate the local effect of the parasympathomimetic carbachol alone and in combination with either nitroglycerine or iloprost on gastric and oral microcirculation during hemorrhagic shock. Methods: In a cross-over design five female foxhounds were repeatedly randomized into six experimental groups. Carbachol, or carbachol in combination with either nitroglycerine or iloprost were applied topically to the oral and gastric mucosa. Saline, nitroglycerine, or iloprost application alone served as control groups. Then, a fixed-volume hemorrhage was induced by arterial blood withdrawal followed by blood retransfusion after 1h of shock. Gastric and oral microcirculation was determined using reflectance spectrophotometry and laser Doppler flowmetry. Oral microcirculation was visualized with videomicroscopy. Statistics: 2-way-ANOVA for repeated measurements and Bonferroni post-hoc analysis (mean ± SEM; p < 0.05). Results: The induction of hemorrhage led to a decrease of gastric and oral tissue oxygenation, that was ameliorated by local carbachol and nitroglycerine application at the gastric mucosa. The sole use of local iloprost did not improve gastric tissue oxygenation but could be supplemented by local carbachol treatment. Adding carbachol to nitroglycerine did not further increase gastric tissue oxygenation. Gastric microvascular blood flow remained unchanged in all experimental groups. Oral microvascular blood flow, microvascular flow index and total vessel density decreased during shock. Local carbachol supply improved oral vessel density during shock and oral microvascular flow index in the late course of hemorrhage. Conclusion: The specific effect of shifting the autonomous balance by local carbachol treatment on microcirculatory variables varies between parts of the gastrointestinal tract. Contrary to our expectations, the improvement of gastric tissue oxygenation by local carbachol or nitroglycerine application was not related to increased microvascular perfusion. When carbachol is used in combination with local vasodilators, the additional effect on gastric tissue oxygenation depends on the specific drug combination. Therefore, modulation of tissue oxygen consumption, mitochondrial function or alterations in regional blood flow distribution should be investigated.

A tobit regression model for the timing of smartphone adoption in agriculture.

Smartphones are excellent tools well-suited for applications in agriculture because of their mobility, high data processing power, access to agricultural apps, and compatibility with precision agriculture technologies. Although smartphone adoption and the use of agricultural apps are well-studied, variables influencing the timing of smartphone adoption in agriculture have not yet been closely examined. Comprehending both the timing of when a certain technology is adopted and identifying the specific characteristics of early and late adopters aids in the anticipation and thereby the fostering of the diffusion process. This study's objective is therefore to analyse the timing of smartphone adoption for agricultural purposes by applying a tobit regression model to a data set of 207 German farmers, which was collected in 2019. The results indicate that significant factors influencing the timing of smartphone adoption in agriculture include farmers' gender, risk attitude, age, size and location of their farm, among other factors. These results may be interesting to several stakeholders in agriculture such as extension services, policymakers and researchers as well as smartphone providers and sellers.

Understanding the adoption of smartphone apps in dairy herd management.

The number of decision support tools available to farmers, including dairy herd management smartphone apps, has been steadily increasing. The existing literature does not cover topics concerning the adoption and use of herd management smartphone apps or which specific functions of such apps are perceived as most useful by dairy farmers. It is unclear whether technology adoption can only be explained by economic reasoning, because the beliefs about a technology also play a role in decision-making. Therefore, this study seeks to determine whether an extended technology acceptance model can explain adoption and use of herd management smartphone apps. Results about the adoption and use of dairy herd management smartphone apps are derived from an online survey conducted in 2018 with 280 German dairy farmers. To model farmers' frequency of use of herd management smartphone apps, we applied partial least squares structural equation modeling and an ordered logit model. Our results show that 93% of the dairy farmers in our sample use a smartphone and 61% already use a herd management smartphone app. Daily use is reported by 38% of the adopters. Dairy farmers rated functions related to the observation of animal health, reproduction management, and data gathering as most useful, which should be in focus by developers and providers for future development. The key attitudinal components of the technology acceptance model, namely perceived ease of use and perceived usefulness, both positively influence the intention to use such apps. This ultimately has a positive effect on the actual usage behavior. Besides other factors, dairy farmers' education and knowledge of herd management smartphone apps have a positive effect on perceived ease of use. Our model explains 33% of the variance in the actual usage behavior related to herd management smartphone apps. Because perceived ease of use and perceived usefulness positively influence the intention to use such apps and ultimately the actual usage behavior, developers and providers should highlight the benefits of using herd management smartphone apps and also keep the interface of the apps as simple as possible.