Estimating daily actual evapotranspiration of a rice–wheat rotation system in typical farmland in the Huai River Basin using a two-step model and two one-step models

The objective of this study is to evaluate the performance of three models for estimating daily evapotranspiration(ET) by employing flux observation data from three years(2007, 2008 and 2009) during the growing seasons of winter wheat and rice crops cultivated in a farmland ecosystem(Shouxian County) located in the Huai River Basin(HRB), China. The first model is a two-step model(PM-K_c); the other two are one-step models(e.g., Rana-Katerji(R-K) and advection-aridity(AA)). The results showed that the energy closure degrees of eddy covariance(EC) data during winter wheat and rice-growing seasons were reasonable in the HRB, with values ranging from 0.84 to 0.91 and R2 of approximately 0.80. Daily ET of winter wheat showed a slow decreasing trend followed by a rapid increase, while that of rice presented a decreasing trend after an increase. After calibrating the crop coefficient(K_c), the PM–K_c model performed better than the model using the K_c recommended by the Food and Agricultural Organization(FAO). The calibrated key parameters of the R-K model and AA model showed better universality. After calibration, the simulation performance of the PM-K_c model was satisfactory. Both the R-K model and AA model underestimated the daily ET of winter wheat and rice. Compared with that of the R-K model, the simulation result of the AA model was better, especially in the simulation of daily ET of rice. Overall, this research highlighted the consistency of the PM-K_c model to estimate the water demand for rice and wheat crops in the HRB and in similar climatic regions in the world.     

Type 1 interferons and the virus-host relationship: a lesson in détente

The interface between an infectious agent and its host represents the ultimate battleground for survival: The microbe must secure a niche for replication, whereas the host must limit the pathogen's advance. Among the host's arsenal of antimicrobial factors, the type 1 interferons (IFNs) induce potent defense mechanisms against viruses and are key in the host-virus standoff. Viruses have evolved multiple tricks to avoid the immediate antiviral effects of IFNs and, in turn, hosts have adapted use of this innate cytokine system to galvanize multiple additional layers of immune defense. The plasticity that exists in these interactions provides us with a lesson in détente.     

Precision agriculture technology adoption: a qualitative study of small-scale commercial “family farms” located in the North China Plain

Precision Agriculture - Precision agriculture (PA) technologies offer a potential solution to food security and environmental challenges but, will only be successful if adopted by farmers. Adoption...     

Sustainability of the rice–crayfish farming model in waterlogged land: A case study in Qianjiang County,Hubei Province,China

The rice–crayfish farming model has been rapidly developed and become an economically viable method to supply food in China in recent years.  However, its environmental and economic sustainability has not been thoroughly investigated.  This study uses a survey in 2016 and a field experiment in 2017 in Qianjiang, Hubei Province, China to assess the relative economics of concurrent rice–wheat (RW), rice–crayfish (RC), and crayfish monoculture (CM) models in waterlogged land areas.  The field survey indicated that the RC model had a higher benefit–cost ratio (3.5:1) than the RW (2.0:1) and CM (3.1:1) models and the RC model protected farmers’ enthusiasm for grain production facing unfavourable weather conditions.  The field experiment aimed to explore nitrogen management strategies in RC fields.  In the experiment, four levels of nitrogen concentration gradient - 0 kg N ha^–1 (0 N), 75 kg N ha^–1 (75 N), 150 kg N ha^–1 (150 N) and 225 kg N ha^–1 (225 N), were set in a 2-year-old rice–crayfish (RC2) field, an 8-year-old rice–crayfish (RC8) field, and a RW field as a control.  The field experiment results suggested that the peak  rice yield in RW, RC2, and RC8 occurred when 225 N, 150 N and 75 N were used, respectively.  In RC2 and RC8, however, residual feed-nitrogen that was not used by crayfish was utilized by rice plants.  Thus, an optimal amount of nitrogen in RC fields was proposed to improve the nitrogen use efficiency and reduce environmental pollution by nitrogen fertilizer.  Farmers use less nitrogen but have higher net income in RC than in RW and CM.  It is necessary to sustainably develop integrated farming technologies (i.e., proper field configurations for rice fields) to effectively sustain rice production.  The results also showed that the RC farming model was a viable diversification option for rice farmers in waterlogged land.       

Including growers in the “food safety” conversation: enhancing the design and implementation of food safety programming based on farm and marketing needs of fresh fruit and vegetable producers

Experts identified water quality, manure, good handling practices (including personal hygiene and equipment sanitation), and traceability as critical farm problem areas that, if addressed, are likely to decrease risk associated with microbial contamination of fresh produce from all scales of agriculture. However, the diverse nature of production strategies used by produce farmers presents multiple options for addressing foodborne illness issues while simultaneously creating potential complications. We use a mental models methodology to enhance our understanding of the underlying factors and assumptions of small, medium, and large produce growers that influence their decision-making processes for contamination prevention and control. This empirical evidence demonstrates how challenges and opportunities to food safety are related to the scale of production and marketing strategies. We believe that refining the development of standards and existing extension and outreach food safety programs are important to both consumer protection and supporting agricultural communities. Additionally, this approach will help develop and refine food safety programs that will result in empirically grounded recommendations based on identified grower information needs.