描述:In order to improve the inhibition activity and light stability of the protein extract TraT2A from the fermentation broth of Trichoderma atroviride T2 strain, the ultraviolet protective agents (ascorbic acid, humic acid) and the auxiliary agent (IE-08, SP-4821A and SP-4821B) were screened, the inhibition condition of TraT2A for Alternaria alternata were optimized through the colony growth rate test, and the field control efficacy on lily leaf spot disease was determined. The results showed that TraT2A had a good inhibitory effect on A.alternata at 200.00 mg/mL and the inhibitory rate was 72.12%. With the prolongation of the UV illumination time, the inhibition activity of TraT2A gradually decreases. The addition of 5.00 mg/mL humic acid had an excellent UV protection effect on TraT2A and its inhibition rate (69.01%) increased by 39.64% compared with that without a UV protection agent (29.37%). The addition of 0.17 mg/mL adjuvant of SP-4821A increased the inhibition activity of TraT2A most significantly and the inhibition rate (95.13%) increased by 25.97% compared with the TraT2A control (69.16%). According to the optimized formula, 200 g TraT2A (the mass concentration was 200.00 mg/mL), 5 g humic acid (the mass concentration was 5.00 mg/mL), 0.17 g SP-4821A (the mass concentration was 0.17 mg/mL) and 794.83 mL sterilized water was mixed and the field control efficacy of the mixture was tested on lily leaf spot disease, the result showed that its field control efficacy was 80.37%. The research results provide a theoretical basis for the further development of TraT2A preparations for the control of lily diseases.
描述:At present, there are few studies on the influence of the cleaning parameters of soybean harvester on the cleaning indexes in China. In order to change the current situation of soybean combine harvester, due to the lack of theoretical guidance for the parameter adjustment of the corresponding cleaning device, the cleaning parameter adjustment is not timely and accurate, resulting in high loss rate and high impurity content of soybean harvester. In this study, the multi parameter adjustable and measurable cleaning system was used to optimize the cleaning parameters of soybean harvester in field test. The influence rules of the five cleaning parameters on the two cleaning indexes were analyzed, and the best cleaning parameter combination was found. The field verification test of the best cleaning parameter combination of soybean harvester was completed. Based on the analysis of the structure of cleaning system and the principle of cleaning operation of soybean harvester, the importance of the operating parameters and operating speed of cleaning device to the cleaning indexes of soybean combine harvester was obtained. The operation speed, opening of chaffer screen, damper opening, fan speed and crank speed of shale shaker were used to optimize the five cleaning parameters in field experiments. Cleaning loss rate and impurity rate were used to optimize the two cleaning indexes of field experiments. Through the analysis of the influence of cleaning device on the indexes of soybean combine harvester, the cleaning loss rate and impurity rate were determined as cleaning indexes, and in the field experiment, the cleaning loss of samples were collected in the form of binding cleaning loss receiving bag at the back of cleaning room to optimize the parameters of cleaning loss in the field experiment. Response surface test design and data analysis are completed by using design expert software. The contribution rate and response effect of each parameter on the two cleaning indexes were analyzed by the contribution rate method and response surface diagram. The results showed that the order of influence of cleaning parameters on cleaning loss rate was crank speed of shale shaker, fan speed, operation speed, damper opening, opening of chaffer screen. The order of influence of cleaning parameters on the impurity rate was opening of chaffer screen, damper opening, fan speed, operation speed, crank speed of shale shaker; The results showed that when the cleaning loss rate was small and the impurity rate was small and the feeding amount was large, the optimal cleaning parameters were operation speed was 6 km/h, opening of chaffer screen was 32 mm, damper opening was 17°, fan speed was 1 310 r/min and crank speed of shale shaker was 410 r/min. At this time, the cleaning loss rate was 0.25%, the impurity rate was 0.61%, and the relative error with the optimized value of the model was 0.250% and 0.113%, respectively. Compared with the cleaning indexes of the field experiment of soybean combine harvester under the common cleaning parameters, the cleaning loss rate was reduced by 0.05%, and the impurity rate was reduced by 2.09%. The results provide a theoretical basis for the setting and adjustment of cleaning parameters and the research and development of self-adaptive cleaning system.
描述:Pomacea canaliculata, golden apple snail, has been listed as one of the 100 most destructive invasive alien species in the world by the International Union for Conservation of Nature. Recently, tea saponin, a botanical pesticide, has been reported to show effective molluscicidal activity. However, safety evaluation of tea saponin to environment is scarce. In this work, the toxicity of tea saponin to P. canaliculata was tested in the lab and the safety evaluation of tea saponin against three aquatic organisms was investigated. In addition, the field control efficacy of tea saponin to P. canaliculata was evaluated. The results showed that tea saponin was effective to P. canaliculata under the conditions of lab, and the LC50 values (all of the following values are shown in the form of active ingredients) against late adult, early adult and larvae snails were 2.61, 2.39 and 2.68 mg/L, respectively. Furthermore, tea saponin showed low toxicity to Daphnia magna (EC50 of 17.77 mg/L) and moderate toxicity to Barchydonio rerio (LC50 of 1.76 mg/L). Tea saponin could also promote the growth of Selenastrum capricornutum at the concentration of 100 mg/L. Application of tea saponin at dosages of 2.03, 2.25 and 2.48 kg/hm² resulted in a corrected control efficacy of higher than 90% to P. canaliculata in the field, which showed similar control effect to that of commercialized molluscicides, metaldehyde with 0.45 kg/hm² and niclosamide ethanolamine with 0.57 kg/hm². The present results will pave the way for the effective management of P. canaliculata with tea saponin in the field.
描述:Heavy metals contaminated soils pose a serious risk to human beings and animals via direct exposure and food chain. Biochar, a carbon-rich material, is used to remediate heavy metals contaminated farmland. This strategy provides an effective method for utilizing biomass resources and ensuring food safety. With increasing attention, the number of published articles concerning biochar has been increasing in the recent ten years, therefore providing researchers with a large amount of evidence and insights. In this study, the latest studies of biochar in the remediation of heavy metals contaminated farmland were reviewed, with the focus on possible mechanisms of biochar-heavy-metal interactions, related impact factors, and in-situ application of biochar at the field scale. Biochar showed a strong sorption ability, attributed to its physiochemical properties such as large specific surface area, abundant functional groups and high cation exchange capacity. The application effect of biochar was greatly influenced by its characteristics. After summarizing biochar’s physiochemical property data in recent years, the study discussed the changing law of biochar’s properties with the alteration of feedstocks and pyrolysis temperature, respectively. To modulate the properties of biochar for soil remediation, various modifiers with different concentrations were adopted, including acids, bases, oxidizing agents, organic solvents and metal salts or oxidizing agents. In general, the purposes of modification were to enlarge the surface area, to change the functional groups, and to increase the adsorption performance and catalytic capacity. Furthermore, the immobilization mechanisms of heavy metals by biochar were illustrated. The direct immobilization could be achieved through physical absorption, electrostatic attraction, ion exchange, complexation, precipitation, and redox reaction. Besides, the indirect effects of biochar on heavy-metal mobility and bioavailability, which could be achieved via impacting soil characteristics and thus heavy-metal-soil complexation, were less understood and could be largely underestimated. Biochar addition could alter many soil properties including pH value, dissolved organic carbon, mineral composition, and cation exchange capacity. These changes would affect heavy-metal-soil interactions and thus heavy-metal mobility and bioavailability. Many laboratory studies had demonstrated biochar’s effectiveness in decreasing the bioavailability of heavy metals as well as improving soil quality. However, the value of biochar in the remediation of contaminated land had not been well tested in the field. In different field trials, distinct results (beneficial, neutral or adverse effects) had been reported due to wide variations in field conditions and biochar characteristics. To better understand whether biochar application could provide a promising direction for soil remediation, this review was undertaken to assess the published field trial. The results of most previous field trials indicated that biochar could potentially reduce heavy-metal bioavailability in the field. Meanwhile, a significant decrease in the heavy-metal enrichment of the crops was observed. It was found that the use of biochar may help increase crop yields on polluted farmland and reduce the amount of mineral fertilizer used in the field. The application of biochar could inactivate heavy metals through improving soil physicochemical properties (pH, cation exchange capacity, water retention capacity etc.). In addition, it also could be used to enhance the uptake of soil nutrients for plant growth. However, according to a majority of studies, biochar’s effectiveness in reducing the impacts of heavy metals depended on a myriad of factors in the field, including biochar applying process (variety and dosage rate of the biochar, mixing depth), agronomic measure (nitrogen-phosphorus-potassium fertilizer application) and climatic conditions (air temperature and precipitation). In the last part, future research on the perfection of the mechanisms of soil remediation using biochar, the expansion of the scale, and the long-term monitoring on soil was prospected.
描述:Machine vision has been increasingly used for agricultural sensing tasks. The detection method based on deep learning for infield corn kernels can improve the detection accuracy. In order to obtain the number of lost corn kernels quickly and accurately after the corn harvest, and evaluate the corn harvest combine performance on grain loss, the method of directly using deep learning technology to count corn kernels in the field was developed and evaluated. Firstly, an RGB camera was used to collect image with different backgrounds and illuminations, and the datasets were generated. Secondly, different target detection net‐ works for kernel recognition were constructed, including Mask R-CNN, EfficientDet-D5, YOLOv5-L and YOLOX-L, and the collected 420 effective images were used to train, verify and test each model. The number of images in train, verify and test datasets were 200, 40 and 180, respectively. Finally, the counting performances of different models were evaluated and compared according to the recognition results of test set images. The experimental results showed that among the four models, YOLOv5-L had overall the best performance, and could reliably identify corn kernels under different scenes and light conditions. The aver‐ age precision (AP) value of the model for the image detection of the test set was 78.3%, and the size of the model was 89.3 MB. The correct rate of kernel count detection in four scenes of non-occlusion, surface mid-level-occlusion, surface severe-occlusion and aggregation were 98.2%, 95.5%, 76.1% and 83.3%, respectively, and F1 values were 94.7%, 93.8%, 82.8% and 87%, respectively. The overall detection correct rate and F1 value of the test set were 90.7% and 91.1%, respectively. The frame rate was 55.55 f/s, and the detection and counting performance were better than Mask R-CNN, EfficientDet-D5 and YOLOX-L net‐ works. The detection accuracy was improved by about 5% compared with the second best performance of Mask R-CNN. With good precision, high throughput, and proven generalization, YOLOv5-L can realize real-time monitoring of corn harvest loss in practical operation.
描述:Strawberry root rot is one of the main diseases of strawberry in Guanzhong, Shaanxi Province. In this report, the pathogen strains of strawberry root rot were isolated through tissue isolation method. And they were identified as Fusarium solani and Fusarium oxysporum through morphological and molecular biological methods. The inhibitory activity of four plant derived fungicides against two Fusarium species was determined by mycelial growth rate test. Matrine + osthol 1.5% AS had the strongest inhibitory activity to F. oxysporum with EC50 value of 2.7 μg/mL, while matrine 0.3% EC had the strongest inhibitory activity to F. solani with EC50 value of 4.5 μg/mL. Three plant derived fungicides and three microbial fungicides (Bacillus subtilis, Bacillus polymyxa and Trichoderma harzianum) were selected for field test against strawberry root rot. The 600 times dilution of B. subtilis 100 billion spores/g WP had the best control efficacy against strawberry root rot, up to 69.25%. The control efficacy of 800 times dilution of B. polymyxa 1 billion spores/g WP, 700 times dilution of matrine + osthol 1.5% AS and 200 times dilution of T. harzianum 200 million spores/g WP were 63.14%, 62.84% and 59.74%, respectively. Therefore, B. subtilis WP, B. polymyxa WP, matrine + osthol AS and T. harzianum WP are recommended as field control agents for strawberry root rot.
描述:Phoma herbarum SYAU-06 isolated from diseased leaves of dayflower was expected to be a candidate of mycoherbicide, which could cause the death of dayflower by effective infection and was safe to most crops. In this study, the biocompatibility of different carriers and adjuvants with P. herbarum was explored. Under the conditions safe to SYAU-06, the physicochemical properties of different carriers and adjuvants were compared. The optimum formula for P. herbarum SYAU-06 water dispersible granules (WG) was determined as follows (by mass fraction): SYAU-06 fermentation mycelial cultures 15%, wetting agent BX 6%, dispersant NNO 4%, disintegrating agent ammonium sulfate 6%, binder polyethylene glycol (PEG 4000) 4%, stabilizer calcium carbon 5%, carrier silica 60%. The properties of P. herbarum SYAU-06 WG prepared in accordance with this formula were measured. The results showed that the content of SYAU-06 living mycelium was 2.55 × 108 cfu/g, the wetting time was 28.16 s, the disintegration time was 70.50 s, the suspension percentage was 88.90%, the pH value was 6.97, and the moisture content was 1.47%. All of the indicators of the sample were up to the standard. The field control efficacy of P. herbarum SYAU-06 WG on dayflowers in soybean field was determined by the foliage spraying method. The fresh weight control effect against dayflower 21 days after the application was 50.89%, 55.97%, 60.67% and 69.88% respectively at the formula dosage of 1 305, 1 740, 2 175 and 3 480 g/hm².