Response of the cultivation suitability of Pu'er tea (Camellia sinensis var. assamica) to climate conditions and change in China.

Crop cultivation suitability plays a vital role in determining the distribution, quality, and production of crop and can be greatly affected by climate change. Therefore, evaluating crop cultivation suitability under climate change and identifying the factors influencing it can optimize crop cultivation layout and improve production and quality. Based on comprehensive datasets including geographical distribution points, climate data, soil characteristics, and topography, our study employed the MaxEnt model to simulate the potential distribution of Pu'er tea (Camellia sinensis var. assamica) cultivation suitability in Yunnan Province from 1961 to 2020. Furthermore, we assessed the consistency between the simulated suitable areas and the actual production of Pu'er tea. The results showed that precipitation of the warmest quarter, precipitation of the driest month, and average temperature in January were the three dominant environmental variables affecting the cultivation distribution of Pu'er tea. The high suitable areas for Pu'er tea cultivation in Yunnan Province were mainly distributed in the western and southern regions, accounting for 13.89% of the total area of Yunnan Province. The medium suitable areas are mainly distributed in the central and western regions of Yunnan Province, accounting for 20.07% of the total area of Yunnan Province. Over the past 60 years, the unsuitable area for Pu'er tea has increased, while the suitable area has shown a trend of migration to the southwest. Changes in precipitation and temperature were found to be the main drivers of the changes in the distribution of suitable areas for Pu'er tea. We also found a mismatch between the cultivation suitability and the actual production of Pu'er tea. Our study provides an accurate assessment and zoning analysis of the suitability of Pu'er tea cultivation in Yunnan Province, which can help optimize the layout of Pu'er tea cultivation and reduce potential climate risks.

Cleaner tillage and irrigation options for food-water-energy-carbon synergism in wheat-maize cropping systems.

The conventional wheat-maize systems in the North China Plain are energy and water intensive with high carbon emissions. It is imperative to find cleaner production technologies for sustainable food-water-energy-carbon synergism. Here, a three-year field experiment was performed to explore the effects of two tillage modes and four irrigation regimes during wheat season on crop yield, economic profile, water use efficiency, energy utilization, and carbon footprint in typical wheat-maize cropping systems in the North China Plain. Pre-sowing irrigation resulted in the lowest crop yield and benefit profile. Pre-sowing + anthesis irrigation decreased economic benefit and water use efficiency with higher carbon footprint. Pre-sowing + jointing + anthesis irrigation led to the greatest energy consumption and greenhouse gas emissions. However, pre-sowing + jointing irrigation increased yield by 2.3-8.7%, economic benefit by 4.0-11.1%, water use efficiency by 7.4-10.9%, and net energy by 6.5-12.0% but reduced carbon footprint by 9.8-14.3% compared to pre-sowing + anthesis irrigation and pre-sowing + jointing + anthesis irrigation. The corresponding metrics in rotary tillage improved by 9.6%, 13.9%, 7.0%, and 14.2%, respectively, relative to subsoiling, whereas carbon footprint decreased by 12.4-17.2%. Besides, rotary tillage coupled with additional jointing irrigation obtained the highest value based on a Z-score method, which was recommended as a cleaner management practice to improve benefit return and water use efficiency with lower energy consumption and carbon footprint. This work provides valuable insights into food-water-energy-carbon nexus for ensuring food security and achieving environmental sustainability in the wheat-maize cropping systems.

Sustainable water and nitrogen optimization to adapt to different temperature variations and rainfall patterns for a trade-off between winter wheat yield and N2O emissions.

Optimizing irrigation and nitrogen (N) fertilizer applications is essential to ensure crop yields and lower environmental risks under climate change. The DeNitrification-DeComposition (DNDC) model was employed to investigate the impacts of irrigation regime (RF, rainfed; MI, minimum irrigation; CI, critical irrigation; FI, full irrigation) and N fertilizer rate (N60, N90, N120, N150, N180, N210, N240, N270, and N300 kg ha-1) on yield and nitrous oxide (N2O) emissions from winter wheat growing season under different temperature rise levels (+0, +0.5, +1.0, +1.5, and +2.0 °C scenarios) and precipitation year types (wet, normal, and dry seasons) in the North China Plain. Model evaluations demonstrated that simulated soil temperature, soil moisture, daily N2O flux, yield, and cumulative N2O emissions were generally in close agreement with measurements from field experiment over three growing seasons. By adopting simulation scenarios analysis, the model was then used to explore the effects of irrigation and N fertilizer inputs to balance yield and N2O emissions from winter wheat growing season. Based on reduced water and fertilizer inputs and N2O emissions with little yield penalty, recommended management practices included application of MI-N150 in wet season, CI-N120 in both normal and dry seasons, and CI-N150 for +0 to +2.0 °C scenarios. Recommended practices in different precipitation year types reduced irrigation amount by 75-150 mm, N rate by 75-105 kg N ha-1, yield by 0.16-0.86 t ha-1, cumulative N2O emissions by 0.13-0.64 kg ha-1, and yield-scaled N2O emissions by 15.5-85.0 mg kg-1 compared with current practices. The corresponding metrics for different elevated temperature levels decreased by 75 mm, 75 kg N ha-1, 0.09-0.50 t ha-1, 0.12-0.52 kg ha-1, and 13.7-72.3 mg kg-1, respectively. The proposed management practices can help to maintain high agronomic productivity and alleviate environmental pollution from agricultural ecosystems, thereby providing an important basis for mitigation strategies to adapt to climate change.

Design and test of a laser lighting device for plant growth.

Aiming at the problems of high energy consumption, complex wiring, high layout cost, limited use environment, and limited function of conventional plant lighting equipment such as fluorescent lamps, sodium lamps, etc., this paper develops a type of laser device for plant growth with nanometer lasers based on the design of an intelligent control system of an immune algorithm, constant current driving circuit of the laser, pulse power supply, and rotatable intelligent platform to make the device more stable, reliable, practical, and energy efficient, and provides a useful reference for the innovation and application of materials, processes, and methods of plant lighting. The effects of nanometer laser light supplementation on the growth of purple lettuce, romaine lettuce, Chinese cabbage, and you-mai vegetable have been studied with the vegetables mentioned above as experimental materials and with natural light as the control sample. The results show that the nanometer laser device significantly increases stem height, stem thickness, leaf area, leaf number, and chlorophyll content, effectively promotes plant growth, and achieves efficient cultivation. In the future, studies of the effects of laser treatment on plant physiology and biochemistry will be sped up to explore the molecular biological mechanism of lasers to promote application and technological innovation of lasers in lighting for plant growth and the laser device in productivity.

Seeking sustainable pathway of crop production by optimizing planting structures and management practices from the perspective of water footprint.

Water shortage threatens sustainable agriculture and food security globally. The Huanghuaihai Plain plays a critical role in ensuring China's food security, but at the expense of groundwater quantity and quality. Approaches that integrate crop production and environmental goals offer promise for achieving more sustainable water management in agriculture, yet little work has been done to link potential solutions with planting structure and resource management. The spatiotemporal variation of water footprint, water scarcity footprint, and green water occupancy rate for seven major crops, and the sustainability index and reduction potential of ten targeted reduction scenarios across 486 counties were quantitatively assessed in the Huanghuaihai Plain during 1985-2015. Total and gray water footprints dramatically increased by 59.5 % and 446.8 % from 1985 to 2015, respectively. The water scarcity footprint increased from 43.3 × 109 to 49.9 × 109 m3 and green water occupancy rate decreased from 37.8 % to 36.1 %. Among the single measures, reducing nitrogen input or its leaching would have the optimal reduction potential in WFtotal (reduced by 5.5-11.0 %), while adjusting planting structure would have the best sustainable performance. More importantly, the areas with the greatest reduction potential in blue water footprint by deficit irrigation and adjusting planting structure were located in the southeastern and middle parts of the plain, respectively, suggesting that differentiated strategies are required for regional water sustainability. The findings provide not only integrated approaches to inform targeted water management decision making in the Huanghuaihai Plain, but also best practices that may be applicable to other regions facing similar resource concerns.

Exploring wheat-based management strategies to balance agricultural production and environmental sustainability in a wheat-maize cropping system using the DNDC model.

Faced with the great challenge of food demand and environmental pollution, optimizing agricultural practices can potentially balance food security and environmental protection. In this study, the DeNitrification-DeComposition (DNDC) model was applied to explore the effect of wheat-based management strategies on crop productivity and greenhouse gas emissions in the wheat-maize system. The DNDC model was tested against crop yield, daily nitrous oxide (N2O) fluxes, and cumulative N2O emissions determined from field measurements in a typical winter wheat-summer maize cropping system. Model evaluations demonstrated a good agreement between the observations and simulated crop yield (4.4%≤NRMSE≤8.0%), daily N2O fluxes (0.68 ≤ d ≤ 0.88), and cumulative N2O emissions (4.9%≤NRMSE≤11.9%). By adopting sensitivity analysis, the DNDC model then assessed the impacts on crop yield and cumulative N2O emissions of multiple management practices from the winter wheat season. Delaying the sowing date from October 7 to November 4 reduced annual yield by 1.9%, while cumulative N2O emissions were increased by 10.4%. Furthermore, postponing the supplementary irrigation date from April 1 to May 20 decreased annual yield by 2.4% without affecting cumulative N2O emissions. An N fertilizer rate of 120-150 kg N ha-1 was able to reduce N usage and cumulative N2O emissions without sacrificing annual yield. Despite an improvement in the annual yield at the 0-30 cm tillage depth by 2.9%, cumulative N2O emissions increased by 11.6%. The results suggest that sowing in early October, applying supplementary irrigation in early April, an N fertilizer rate of 120-150 kg N ha-1, and no-tillage from the winter wheat season can improve crop yield and mitigate N2O emissions. This is conducive to the synergism of agricultural production and environmental sustainability.

Rational trade-offs between yield increase and fertilizer inputs are essential for sustainable intensification: A case study in wheat-maize cropping systems in China.

In order to feed a population of nearly 1.4 billion people with limited arable land resources, China's high crop production has been maintained by an intensive cropping system with excessive inputs of chemical fertilizers, resulting in high environmental costs. This study attempted to explore the reasonable balance between yield increase and nitrogen (N) inputs in the intensive wheat-maize cropping system in the North China Plain, which is one of the most important grain production regions in China. Based on yield simulations with the DSSAT-CERES-Wheat and DSSAT-CERES-Maize models and a household survey of 241 farmers' fields, we conducted a coupled analysis of the regional crop yields, N fertilizer inputs, and farmers' technical conversion efficiency with respect to winter wheat and summer maize production in four representative study areas. We also conducted a quantitative analysis of the equilibrium relationship between fertilizer application rates and expected yields, and the optimum N fertilization amounts for wheat and maize were recommended. The results indicated that farmers' average yields had reached almost 80% of the attainable yields, which meant that there was little room for farmers to increase their yields. However, we found that the yield gaps among the different farmers were still large, and most farmers applied excessive amounts of N while obtaining unsatisfactory yields due to poor fertilizer management techniques. Only 15% of winter wheat and 4% of summer maize on farmers' fields had achieved the synergy of high crop yields and efficient fertilization, and farmers' technical conversion efficiency was still relatively low. Therefore, farmers should be guided to appropriately lower their yield expectations and reduce the overuse of N fertilizer. In the future, if farmers receive necessary education and training and adopt advanced fertilizer management techniques, sustainable intensification of agricultural production with lower environmental costs will be feasible in China.

Strategies for narrowing the maize yield gap of household farms through precision fertigation under irrigated conditions using CERES-Maize model.

BACKGROUND: Nitrogen (N) application significantly increases maize yield; however, the unreasonable use of N fertilizer is common in China. The analysis of crop yield gaps can reveal the limiting factors for yield improvement, but there is a lack of practical strategies for narrowing yield gaps of household farms. The objectives of this study were to assess the yield gap of summer maize using an integrative method and to develop strategies for narrowing the maize yield gap through precise N fertilization. RESULTS: The results indicated that there was a significant difference in maize yield among fields, with a low level of variation. Additionally, significant differences in N application rate were observed among fields, with high variability. Based on long-term simulation results, the optimal N application rate was 193 kg ha-1 , with a corresponding maximum attainable yield (AYmax ) of 10 318 kg ha-1 . A considerable difference between farmers' yields and AYmax was observed. Low agronomic efficiency of applied N fertilizer (AEN ) in farmers' fields was exhibited. CONCLUSION: The integrative method lays a foundation for exploring the specific factors constraining crop yield gaps at the field scale and for developing strategies for rapid site-specific N management. Optimization strategies to narrow the maize yield gap include increasing N application rates and adjusting the N application schedule. © 2016 Society of Chemical Industry.

The Health Literacy Status and Influencing Factors of Older Population in Xinjiang.

BACKGROUND: This study was to investigate the health literacy and influencing factors of older population in pension institution of Xinjiang, China. METHODS: Elderly people were selected from 44 pension institutions in Urumqi, Changji, Karamay and Shihezi and from September 2011 to June 2012 using random layer sampling method. The investigation was carried out by Chinese citizen health literacy questionnaire prepared by the China Health Education Center. Data were analyzed by Oneway ANOVA, multiple linear regression and Pearson correlation analysis. RESULTS: A total of 1396 elderly people met the inclusion criteria and their average age was (77.37 ± 8.48) years. Their average health literacy score was (77.37 ± 8.48) points, which was at a low level. There was significant difference in health literacy score among the factors of age, gender, race, education, household income, marital status and occupation (P<0.05). The independent influencing factors of health literacy were education, race, occupation, household income, age and marital status (P < 0.05). Correlation analysis was conducted between the scores of health knowledge, health belief, health behavior, health skill and total scores of health literacy. Health knowledge scores and total scores had highest correlation (r=0.95), followed by health belief scores and total scores (r=0.81). CONCLUSION: The correlation between health behavior scores and health skill scores was the lowest (r=0.33). The major factors that lead to low health literacy in elderly people are femininity, minority and low levels of education.

[Impacts of high temperature on maize production and adaptation measures in Northeast China].

Heat stress is one of the major agro-meteorological hazards that affect maize production significantly in the farming region of Northeast China (NFR). This study analyzed the temporal and spatial changes of the accumulated temperature above 30 °C (AT) and the accumulated days with the maximum temperature above 30 °C (AD) in different maize growing phases under global warming. It further evaluated the impacts of extreme heat on maize yield in different regions, and put forward some adaptation measures to cope with heat stress for maize production in NFR. The results showed that during 1961 to 2010, the temperature in the maize growing season increased significantly. The maximum temperature in flowering phase was much larger than that in the other growing phases. Temperature increased at rates of 0. 16, 0. 14, 0.06 and 0.23 °C every ten years in the whole maize growing season, vegetative growth phase (from sowing to 11 days before flowering), flowering phase, and late growth phase (from 11 days after flowering to maturity), respectively. The AT in the whole maize growing season increased in NFR during the last 50 years with the highest in the southwest part of NFR, and that in the vegetative growth phase increased faster than in the other two phases. The AD in the whole maize growing season increased during the last 50 years with the highest in the southwest part of NFR, and that in the late growth phase increased faster than in the other two phases. Heat stress negatively affected maize yield during the maize growing season, particularly in the vegetative growth phase. The heat stress in Songliao Plain was much higher in comparison to the other regions. The adaptation measures of maize production to heat stress in NFR included optimizing crop structure, cultivating high temperature resistant maize varieties, improving maize production management and developing the maize production system that could cope with disasters.