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• Reasonable irrigation and fertilization strategies significantly improved the nutrient content, bacterial diversity, and community abundance of Panax notoginseng soil. • The relationships among soil physical and chemical properties, bacterial diversity, community structure and community function were elucidated. • W2F4 treatment significantly improved soil physicochemical properties, bacterial diversity, community structure and community function, and was the optimal irrigation fertilization strategy. Improper irrigation and fertilization can result in soil compaction, solidification, and acidification, consequently disrupting the equilibrium of the soil microbial community. The objective was to enhance the microbial environment in Panax notoginseng soil, augment bacterial diversity, increase community abundance, and establish a scientific and theoretical foundation for Panax notoginseng cultivation. Panax notoginseng field planting experiment was carried out from 2019 to 2021, involving two controlled variables: irrigation (W) and fertilizer application (F). Three irrigation levels were established, denoted as W1 (0.6 FC), W2 (0.75 FC), and W3 (0.9 FC). A total of 1440 kg•hm−2 of soluble organic fertilizer was applied throughout the entire growth cycle, with varying proportions allocated to each growth stage. Four fertilization levels were designated as F1 (rooting stage: seedling stage: flowering stage: fruiting stage = 25 %: 25 %: 25 %: 25 %), F2 (20 %: 25 %: 30 %: 25 %), F3 (15 %: 30 %: 30 %: 25 %), and F4 (10 %: 40 %: 20 %: 30 %), total 12 treatments. Non-irrigated and non-fertilized CK treatments were employed as control. Soil physicochemical attributes, bacterial diversity, community structure, and functional characteristics across various water and fertilizer treatments were comprehensively assessed utilizing the quotient-weighted TOPSIS method. The results showed that coupled irrigation and fertilization treatments had a significant impact on various soil parameters of Panax notoginseng, including total nitrogen, nitrate nitrogen, ammonium nitrogen, organic carbon, pH, water content, and bacterial alpha diversity (P < 0.05). Moreover, coupled irrigation and fertilization treatments had a highly significant influence on soil water content during the rooting stage, seedling stage, and fruiting stage (P < 0.01). Total nitrogen, nitrate nitrogen, ammonium nitrogen, water content, and pH emerged as the primary environmental factors significantly shaping the structure of the soil bacterial community. In the W2F4 treatment, soil total nitrogen, organic carbon content, pH, Chao1, Shannon index, and functional abundance in categories such as chemoheterotrophy, aerobic chemoheterotrophy, nitrogen fixation, nitrate reduction, nitrogen respiration, and nitrate respiration were notably higher compared to other water-fertilized treatments. Furthermore, the W2F4 treatment ranked first in the TOPSIS comprehensive evaluation. Consequently, the W2F4 treatment emerged as the optimal irrigation-fertilization strategy for enhancing soil microbial activity and fertility in Panax notoginseng cultivation. This study establishes a theoretical foundation for enhancing the microbiological environment of Panax notoginseng soils, augmenting soil bacterial diversity, increasing community abundance, and ultimately elevating soil fertility for the efficient and high-quality cultivation of Panax notoginseng. [ABSTRACT FROM AUTHOR]

Evaporation is important basic information for irrigation decision making in water resources management. Developing countries usually use a small pan to observe surface evaporation, but the relationship between evaporation in different small pans is not sufficiently clear. In this paper, we use an extreme learning machine (ELM) model to predict and convert E20 (diameter 0.20 m) and E601 (diameter 0.62 m) pan data for 38 meteorological stations in southern China. Firstly, we obtained the best combination of meteorological parameters for forecasting E20 and E601, respectively, and we also found that the accuracy of the model can be significantly improved by adding pan data. Secondly, we found that during the conversion between E20 and E601, the model performance when using E601 data to predict the E20 evaporation is better than that when using E20 data to predict the E601 evaporation. Finally, the geographical factors were analysed, and the model performance was found to be relatively poor in the coastal area and the North–South junction. [ABSTRACT FROM AUTHOR]

Rational application of water and fertilizer management practices can not only improve mango (Mangifera indica L.) yield and quality but also improve irrigation water-use efficiency (IWUE). However, few studies have addressed the use of water and fertilizer management practices in hot, dry environments with the aim of achieving relatively favorable levels of these parameters concurrently. We used the technique for order preference by similarity to an ideal solution (TOPSIS) method to identify optimal water and fertilizer management practices that resulted in high fruit yields and high IWUE in Southwest China. A randomized block design study with four irrigation levels [full irrigation throughout the growth period (FI), regulated deficit irrigation during flowering (RDI FS), regulated deficit irrigation during fruit expansion (RDI ES), and regulated deficit irrigation at maturity (RDI MS)] and three fertilization levels [F H , a water-soluble compound fertilizer (N:P 2 O 5 :K 2 O = 12:8:40) applied at 129.0 kg ha−1; F M , 103.2 kg ha−1; and F L , 77.4 kg ha−1] was implemented in 2018 and 2019 to investigate these relationships. The net photosynthesis rate (Pn), transpiration rate (Tr) and stomatal conductance (Gs) of mango under the different water deficit treatments were significantly lower than those under the FI treatment with the same fertilization conditions, but the instantaneous water-use efficiency (WUEi) of the leaves increased. The fresh fruit yield, solids:acid ratio (SOAR), sugar:acid ratio (SUAR), and IWUE under the RDI FS treatment were significantly lower than those under the FI treatment at the same fertilization rates. Averaged over all fertilization rates, the fruit yield under RDI ES was 8.6–22.3% lower than that under FI in both years, but the IWUE significantly increased from 3.7% to 18.6%. Compared with the FI treatment, the RDI MS treatment had no significant effect on fruit yield but significantly increased the IWUE (35.5–44.7%), total sugar (TS) content (3.7–8.5%), and carotenoid content (CC) (1.5–13.1%) in both years. At the same irrigation level, the Pn, Gs and Tr increased with an increasing fertilization rate, while the fruit yield, IWUE, TS, and vitamin C (VC) content of fresh fruit first decreased but then increased with increasing fertilization rate. IWUE was more closely related to photosynthesis characteristics at the flowering stage than at the mature stage, but fruit quality was more closely related to photosynthesis characteristics at the mature stage than at the flowering stage. Compared with the FIF H treatment, the RDI MS F M treatment significantly increased the fruit yield by 10.1% and 6.6% in 2018 and 2019, respectively, and increased the IWUE by 28.1% and 35.6%, respectively. On the basis of the TOPSIS method, the multi-target optimum scheduling of mango was achieved under the RDI MS F M treatment. The identified optimum combination of water and fertilizer can provide a scientific basis for irrigation and fertilization optimization and management in the hot, dry environment of Southwest China. • TOPSIS was used to determine the best water-saving irrigation method for mango. • IWUE was close to photosynthetic characteristics at flowering stage. • Fruit quality was closely related to photosynthetic characters in maturity stage. • The mango yield was significantly increased by RDI at maturity. [ABSTRACT FROM AUTHOR]

Ammonium (NH 4 +) absorption by crops enhances inorganic phosphate (Pi) acquisition efficiency mediated by rhizosphere acidification. The application of nitrification inhibitors (NIs) prolong NH 4 + retention in soil by inhibiting ammonia oxidation and facilitating ammonium uptake by crops which may promote crop P utilisation. However, the efficacy of NIs on enhanced P-utilisation efficiency has not been comprehensively evaluated, and the mechanism underlying these effects remains unclear. Here, a meta-analysis of 92 peer-reviewed articles (1217 paired observations) was conducted to investigate soil pH and crop P absorption changes under NIs amendment, and boosted regression tree model was adopted to identify the primary factor regulating enhanced P-efficiency. The results showed that the addition of NIs reduced the rhizosphere soil pH by 12.37% and increased bulk soil pH by 2.38%, increased plant N and P uptake by 16.09% and 8.49%, respectively, and shoot N and P concentrations by 4.38% and 6.73%, respectively. NIs significantly decreased the crop N/P ratio and alleviated P limitation for crop production. Fertiliser (N and P) application method, NI product type, and soil properties (soil organic carbon, available P, total N content and soil texture) are major factors affecting crop P uptake. Using dicyandiamide (DCD) or 3,4-dimethylpyrazole phosphate (DMPP) as NIs combined with the application of ammonium-based fertiliser, adoption of subsurface or one-time N application, or application of these fertilisers to coarse-textured soils could significantly decrease rhizosphere soil pH while increasing crop P uptake. This study quantitatively demonstrated the positive impact of NIs on crop P acquisition using a meta-analysis approach, enhanced the knowledge on the incidental efficacy of N stabilisers and provide a strategy for the sustainable management of N and P in agriculture. [Display omitted] • Applying nitrification inhibitors induces rhizosphere acidification. • Divergent changes between rhizosphere and bulk soil pH after NIs amendment. • NIs amendment improved crop P uptake and concentration. • Crop N/P ratio declined and P limitation alleviated after NIs amendment. [ABSTRACT FROM AUTHOR]

[Display omitted] • UHP pretreatment enhanced the production of SCFAs in WAS anaerobic fermentation. • UHP pretreatment contributed to WAS disintegration significantly. • UHP pretreatment facilitated the generation and transformation of intermediates. • OH, O 2 and urea were the major contributors to the increased WAS disintegration. • Functional microbials and genes related with acetate production were upregulated. Improving the anaerobic treatment performance of waste activated sludge (WAS) to achieve resource recovery is an indispensable requirement to reduce carbon emissions, minimize and stabilize biosolids. In this study, a novel strategy by using urea hydrogen peroxide (UHP) to enhance SCFAs production through accelerating WAS disintegration, degrading recalcitrant substances and alleviating competitive suppression of methanogens. The SCFAs production and acetate proportion rose from 436.9 mg COD/L and 31.3% to 3102.6 mg COD/L and 54.1%, respectively, when UHP grew from 0 to 80 mg/g TSS. Mechanism investigation revealed that OH, O 2 and urea were the major contributors to accelerate WAS disintegration with the sequence of OH> O 2 > urea. Function microbes related to acidification and genes associated with acetate production ([EC:2.3.1.8] and [EC:2.7.2.1]) were upregulated while genes encoding propionic acid production ([EC:6.4.1.3] and [EC:6.2.1.1]) were downregulated. These results raised the application prospects of UHP in WAS resource utilization. [ABSTRACT FROM AUTHOR]

Finite-time stability and stabilization for switched nonlinear systems has been investigated in the paper. Based on existing works, we find that related results on autonomous switched nonlinear systems cannot be simply extended to non-autonomous systems. A sufficient condition has been proposed for this class of systems using the average dwell time method. Specifically, a control Lyapunov function approach is employed to stabilize the system and the finite-time controller is designed using a small control property. In contrast to autonomous switched systems, a finite-time stabilizer is constructed for time-varying switched nonlinear systems, even under the situation in which the switching mode is different between the system and the controller. Furthermore, the relation between the settling time and the average dwell time has been revealed. Finally, an example case is presented for the obtained result. [ABSTRACT FROM AUTHOR]

Panax notoginseng (P. notoginseng) is a traditional Chinese medicinal material with high economic and medicinal value. There is an urgent need to find new cultivation areas due to continuous cropping barriers and the effects of climate change. This study integrated the geographical environment of Yunnan with the necessary requirements for a suitable habitat for P. notoginseng and comprehensively analyzed climatic, topographical and soil factors. Furthermore, the criteria were weighted and prioritized by the analytic hierarchy process (AHP) and the best worst method (BWM) respectively, and the overlay analysis method was used to present the suitability map in the GIS environment. Two ecological suitability assessment models were established and compared to explore the ecological suitability regionalization of P. notoginseng in Yunnan Province, China. The results showed that:(1) Among the 12 driving factors, precipitation in the hottest season is the most important, followed by average temperature in the coldest season, average temperature in the hottest season, altitude, and annual precipitation. (2) The most suitable, suitable, and unsuitable regions obtained by the AHP-GIS model accounted for respective 17.98%, 33.41%, and 48.61% of the total area of Yunnan. The values for BWM-GIS model were 13.93%, 40.25%, and 45.81%, respectively. (3) The suitable regions obtained by the two models were overlayed and concentrated in Wenshan, Qujing, Kunming, Chuxiong, Baoshan, Dali, Lijiang, Honghe and Yuxi in central Yunnan, while the unsuitable regions were distributed in Xishuangbanna, Puer, Dehong, Diqing, and southwestern Zhaotong. The sensitivity of the assessment model was analyzed, and its reliability was verified by receiver operating characteristic (ROC) and area under curve (AUC). The BWM-GIS model (AUC=0.85) had higher accuracy than AHP-GIS model (AUC=0.822), and was more suitable for ecological suitability analysis of P. notoginseng. Our research results provide a theoretical basis for the rational expansion of cultivation regions of P. notoginseng and agricultural layout planning in Yunnan Province of China. [Display omitted] • BWM, AHP and GIS were integrated together to construct comprehensive evaluation model. • The ecological factors affecting the distribution of Panax notoginseng were finely analyzed. • Sensitivity analysis was used to verify the stability of the model. • Panax notoginseng showed range expansions towards high-latitude regions. [ABSTRACT FROM AUTHOR]

The knowledge of seasonal nutrient demand is necessary for maximizing potato yield and resources use efficiency under drip fertigation, and it also can effectively mitigate the risk of nutrient leaching caused by excessive fertilization. To explore the coupling effects of irrigation level and fertilization rate on drip-fertigated potato growth, nutrient accumulation and determine the multi-objective optimal irrigation and fertilization regimes, a two-year (2018 and 2019) field experiment was conducted in the sandy regions of northern China. The experiments included three irrigation levels (I 60 , 60% ET C ; I 80 , 80% ET C and I 100 , 100% ET C , where ETc is the crop evapotranspiration) and five fertilization rates (N 0 P 0 K 0 , 0 kg ha−1; N 1 P 1 K 1 , 100–17.5–124.5 kg ha−1; N 2 P 2 K 2 , 150–26.2–186.7 kg ha−1; N 3 P 3 K 3 , 200–34.9–248.9 kg ha−1 and N 4 P 4 K 4 , 250–43.7–311.2 kg ha−1, where the ratio of N, P and K was 1:0.17:1.24). The results showed that N, P and K accumulated rapidly from 42th to 95th, 50th to 96th and 46th to 91th days after sowing, respectively. For producing 1000 kg tuber yield, the required amounts of N, P and K were 1.97–4.16 kg, 0.55–0.81 kg and 4.83–7.65 kg, respectively. The uptakes of N, P and K in 1000 kg tubers across all treatments were 1:0.18–0.34:1.61–2.59, with the average N:P:K ratio of 1:0.23:2.05. Besides, irrigation level, fertilization rate and their interaction had significant effects on potato leaf area index, biomass, N, P and K accumulation. Deficit irrigation reduced seasonal LAI, biomass, N, P and K accumulation, tuber yield and apparent fertilizer recovery (AFR), but increased water productivity. High fertilization rate was conducive to promoting nutrient absorption, plant growth and improving tuber yield, while it reduced the unit nutrient productivity. The AFR increased first and then decreased with the increase of fertilization rate. To simultaneously achieve high potato yield and resources use efficiency, a multi-objective optimization model was established using the binary quadratic regression analysis between tuber yield, net income, water productivity, AFR and water–fertilizer regimes, which showed that tuber yield, net income, water productivity, and AFR could obtained ≥ 90% of their maximum values simultaneously when the irrigation interval was 204–262 mm and fertilization (N-P-K) interval ranged from 200–24–248 to 247–42–306 kg ha−1. The findings can provide useful information for optimizing irrigation and fertilization regimes in sandy regions of northern China. ● Nutrient uptake process under virous drip fertigation combinations was explored. ● Water and fertilization had significant effects on nutrient accumulation and yield. ● 1.97–4.16 kg N, 0.55–0.81 kg P and 4.83–7.65 kg K were needed to produce 1 t tuber. ● Interval of fertigation was put forward through a multi-objective optimization model. [ABSTRACT FROM AUTHOR]

A set of orthogonal experiments using three factors (flushing pressure, flushing frequency, and flushing time) was used to study the anti-clogging performance of a patch-type dentation labyrinth-channel emitter. After irrigation, the change in the emitter discharge was tested, and the discharged particle size distribution was measured using a laser particle size analyser. The results showed that the flushing treatments had a significant effect on the anti-clogging performance of the emitter and extended the emitter's service life by 35.2% on average. Among the three factors, the flushing pressure lengthened the emitter's service life most. With more irrigation events, the discharged particle sizes V 10, V 50, and V 90 (i.e. the particle size with accumulating particle volumes of 10%, 50% and 90%, respectively) decreased under different flushing treatments. However, particle sizes were still larger than those without the flushing. Particles of all sizes could be trapped in the emitter channel. However, coarse particles were trapped more easily, which was the major reason for emitter clogging. Flushing treatments helped the discharge of sediments. The analysis of variance indicated that the flushing pressure had a significant effect on the discharge of coarse particles and flushing time had an obvious impact on fine particles. Elevating the flushing pressure was the major method to extend the life of emitters for water with large particles >18.04 μm diameter and extending the flushing time was the main way for water with particles <1.20 μm diameter. [ABSTRACT FROM AUTHOR]

Quality is one of the most vital aspects of a construction project, and inspection is the most important task in construction quality management. Despite the application of advanced information technologies, the omission of check items and in-efficiency of entering inspection results from paper-based inspection records into computers and collaboration among the construction stakeholders remain to be major problems. This paper proposes an approach to make the process of construction quality management more effective and collaborative by developing a system based on the integrated application of building information modeling (BIM) and indoor positioning technology. First, the system requirements of the collaboration platform are analyzed based on the standards for construction quality inspection in China, the technologies to be used for its implementation are justified, and a process model for the collaboration of multiple stakeholders is established. Next, the system architecture is developed, and the algorithm for generating inspection tasks and the technique for integrating with indoor positioning technology are formulated. Finally, the implementation of a prototype system is presented, and the effectiveness and efficiency of the approach for construction quality management are verified by using the system in an on-site test. [ABSTRACT FROM AUTHOR]

Excessive water and fertilizer management strategy was main factor restricting high-quality production of edible Rose s. The objective of this study was therefore to explore a combination of micro-irrigation method and bio-organic fertilizer application amount suitable for high-quality production of edible Rose s. A two-year greenhouse experiment was conducted to investigate the effects micro-irrigation method and bio-organic fertilizer application on soil environment, photosynthetic characteristics, yield, and nutritional quality of edible Rose in 2019 and 2020. The experiment treatments consisted of three micro-irrigation methods [micro-sprinkler irrigation (SI), drip irrigation (DI), and micro-moistening irrigation (MI)] and four bio-organic fertilizer supplementation levels (0, 5000, 10000, and 15000 kg ha−1, labeled as BF 0 , BF L , BF M , and BF H). The results indicated that MIBF M significantly improved soil water content, soil organic matter, pH, and the number of bacteria, fungus, and actinomycetes in the edible Rose field among all treatments. The MIBF M could improve net photosynthetic rate and leaf instantaneous water use efficiency of edible Rose compared with MIBF H. The flower weight, average flower diameter, and edible Rose yield were larger in MIBF M than those of MIBF H in 2019 and 2020. The MIBF M improved total sugar, flavonoids, vitamin C, and total amino acids of edible Rose compared with MIBF H. According to analyzing the relationships between photosynthesis, soil environment, flower yield, and quality among all treatments, we found MIBF M promoted edible Rose production by improving soil environment. The membership function method was used to comprehensively evaluate the nutritional quality of edible Rose s, we recommended that the combination of micro-moistening irrigation (MI) combined with bio-organic fertilizer application amount (10000 kg ha−1) (BF M) would be an adaptive irrigation and fertilization management strategy for improving soil environment and edible Rose production in Southwest China. • The MIBF M could improve soil environment and edible Rose productivity. • The MIBF M improved soil water storage, soil nutrients and soil microorganism. • The MIBF M improved yield and nutritional quality of edible Rose. [ABSTRACT FROM AUTHOR]

The yield and quality of Arabica coffee ( Coffea arabica ) cannot be guaranteed due to irrational irrigation and light management in dry and hot regions of southwest China. The objective of this study was to obtain rational irrigation and shading mode for efficient light and water use, suitable yield and high nutritional quality of Arabica coffee. Taking full irrigation (FI) as the control, the effects of deficit irrigation (DI) (DI75 and DI50, 75 and 50% of full irrigation amount, respectively) on photosynthesis, yield, nutritional quality and water use efficiency (WUE) were investigated under four shading levels (Sh0 no shading, Sh30, Sh45 and Sh60, 30, 45 and 60% shading, respectively) using the field experiments, and a comprehensive benefit assessment model of yield, nutritional quality and WUE was established under different irrigation and shading treatments. Results indicated that DI75 increased leaf apparent radiation use efficiency and the contents of crude fat and chlorogenic acid in dry bean if compared to FI. In comparison with Sh0, Sh30 enhanced dry bean yield, WUE and the contents of total sugar and chlorogenic acid in dry bean. Compared with FISh0 (CK), DI75Sh30 raised dry bean yield, WUE, and the contents of total sugar, protein, crude fat and chlorogenic acid, but reduced the caffeine content. Principal component analysis showed that DI75Sh30 had optimal comprehensive nutritional quality, and TOPSIS method indicated that DI75Sh30 had the optimal comprehensive benefit, showing that our results can provide scientific basis for rational irrigation and light management of Arabica coffee in dry and hot regions. [ABSTRACT FROM AUTHOR]

Traditional water and fertilizer inputs are often much higher than the actual demands of tomato, which causes a reduction in water- and fertilizer-use efficiencies. To investigate the advantage of alternate partial root-zone irrigation (AI) on water- and nitrogen (N)-use efficiencies of tomato modified by water and N management, taking conventional irrigation (CI) as the control, the effects of AI on root morphology and activity, fruit yield and water and N use efficiency were studied using pot experiments. There were four combinations of irrigation levels and growing stages of tomato for AI, i.e. AI1 (high water (WH) from blooming to harvest stage (BHS)), AI2 (WH from blooming to fruit setting stage (BFS) and low water (WL) at the harvest stage (HS)), AI3 (WL at BFS and WH at HS) and AI4 (WL at BHS) at three urea rates, i.e. low urea rate (NL), middle urea rate (NM) and high urea rate (NH) in the form of urea. Irrigation quotas for WH and WL in AI at BFS or HS were 80% and 60% of that in CI, respectively. Compared to CI, AI decreased water consumption by 16.0%-33.1% and increased water use efficiency of yield (WUEy) and dry mass (WUEd) by 6.7%-11.9% and 10.2%-15.9%, respectively. AI1 did not decline yield, total N uptake (TNU) and N use efficiency (NUE) significantly. Compared to NL, NM enhanced tomato yield, TNU, WUEy and WUEd by 28.5%, 35.3%, 22.6% and 16.3%, respectively. Compared to CINL, AI1NM reduced water consumption by 12.5%, but increased tomato yield, TNU, WUEy and WUEd by 35.5%, 58.4%, 54.4% and 53.7%, respectively. Therefore, AI1 can improve water use efficiency and total N uptake of tomato simultaneously at medium urea rate. [ABSTRACT FROM AUTHOR]

Improper irrigation by Panax notoginseng growers can lead to soil consolidation, low fertilizer utilization, and decreased yield quality. In an attempt to provide a scientific and theoretical basis for Panax notoginseng cultivation to improve soil microhabitat and yield quality, field experiment were conducted on three-year-old Panax notoginseng in 2019, 2020, and 2021. The experimental design consisted of two control factors, the amount of irrigation (W) and the amount of fertilizer (F) applied. The irrigation was set to three levels, as W1, W2, and W3, with exact irrigation volumes of 5 mm, 10 mm, and 15 mm. The amount of fertilizer applied was different in all four growth stages. The amount of fertilizer applied according to the four growth stages (rooting stage: seedling stage: flowering stage: fruiting stage), where F1 (360–360–360–360 kg∙hm−2), F2 (288–360–432–360 kg∙hm−2), F3 (216–432–432–360 kg∙hm−2) and F4 (144–576–288–432 kg∙hm−2). The W and F were randomly combined to form a total of 12 treatments. And a control treatment (CK), was added, and CK was neither irrigated nor fertilization. For obtaining the best treatment results, the TOPSIS method was used to comprehensively evaluate the soil microbial biomass carbon and nitrogen, enzyme activity, physiological growth and saponin content of Panax notoginseng in 13 different water and fertilizer treatments. The results indicated that microbial biomass carbon and nitrogen, urease, sucrase, acid phosphatase and catalase activities of Panax notoginseng soil were significantly different (P < 0.05) and varied with the growth stage. The comprehensive evaluation by the TOPSIS method ranked W3F4 first and was the optimal treatment. The W3F4 treatment was more beneficial to the quality of Panax notoginseng than the other 12 treatments. W3F4 had the largest soil microbial biomass carbon and nitrogen content. W3F4 had the highest urease, sucrase, acid phosphatase, and catalase activities, which were 1.95, 1.69, 2.32, and 1.47 times higher than the CK treatment, respectively. W3F4 significantly improved R 1 , Rg 1 , Re, Rb 1 , and Rd saponin content. This study provided a theoretical basis for the water and fertilizer regulation of Panax notoginseng with its green, healthy and efficient quality cultivation. • W3F4 treatment was most beneficial for the increase of ginsenoside content. • Soil microbial biomass C and N were negatively associated with Re, and were positively associated with R 1. • Soil water content, sucrase, acid phosphatase, catalase, and urease were negatively correlated with Rb 1. [ABSTRACT FROM AUTHOR]

Water and fertilizer are two important factors affecting crop growth and yield. Crop growth models are powerful tools for making irrigation and fertilization scheduling and predicting crop yield. The performance of crop models on potato under different irrigation amounts along with different N, P and K rates has been rarely evaluated, especially under drip fertigation. In this study, the accuracy of AquaCrop and DSSAT-SUBSTOR-Potato models in simulating potato growth, yield and water productivity under different drip fertigation regimes was compared. For model calibration and validation, a two-year field experiment with three irrigation levels (W 1 , 60% ET C ; W 2 , 80% ET C and W 3 , 100% ET C , where ET C was the crop evapotranspiration) and four fertigation (N-P 2 O 5 -K 2 O) rates (F 1 : 100–40–150 kg ha−1, F 2 : 150–60–225 kg ha−1, F 3 : 200–80–300 kg ha−1 and F 4 : 250–100–375 kg ha−1) was carried out in a sandy region of northwest China in 2018 and 2019. The statistical indicators showed that the AquaCrop model gave satisfactory predictions of canopy cover (R 2 ≥ 0.92, NRMSE ≤ 14.7%, d ≥ 0.96 and RMSE ≤ 10.8%), total dry matter (R 2 ≥ 0.92, NRMSE ≤ 25.0%, d ≥ 0.94 and RMSE ≤ 2.2 t ha−1), final dry tuber yield (R 2 ≥ 0.57, NRMSE ≤ 12.21%, d ≥ 0.82 and RMSE ≤ 0.83 t ha−1) and fresh tuber yield (R 2 ≥ 0.53, NRMSE ≤ 12.02%, d ≥ 0.81 and RMSE ≤ 4.91 t ha−1) in the four fertigation treatments (F 1 -F 4) under W 3 and W 2 during the two potato growing seasons. The final total dry matter and tuber yield under W 1 were over-estimated. The simulated water productivity and soil water content also agreed well with the observations (R 2 ≥ 0.91 , NRMSE ≤ 5.51%, d ≥ 0.94 and RMSE ≤ 0.48 kg m−3, and R 2 ≥ 0.40 , NRMSE ≤ 14.8%, d ≥ 0.77 and RMSE ≤ 11.5 mm). The simulation accuracy of DSSAT-SUBSTOR-Potato model was lower than that of AquaCrop model, which only showed a goodness of fit between simulated total dry matter, soil water content, tuber yield, water productivity and observations under high irrigation amount with high fertilization rate (W 3 F 4). Since the observed tuber yield increased with the increase of irrigation level (60–100% ET C) under the same fertigation rate, 120%ET C and 40%ET C were further simulated using the AquaCrop model to test the changes in tuber yield with further increased or decreased irrigation levels. The scenarios simulation showed that the tuber yield was only increased by 0.19%−1.52% under 120%ET C compared with that under 100% ET C , but 18.0% more irrigation water was consumed. Comprehensively considering water resources and tuber yield, the irrigation level of 100% ET C (W 3) along with fertigation (N-P 2 O 5 -K 2 O) rate of 200–80–300 kg ha−1 (F 3) was recommended for the sustainable potato production in the study region. The results of this study can provide guidance for the application of crop models in drip-fertigated potato. • AquaCrop and DSSAT-SUBSTOR-Potato were evaluated under various drip fertigation regimes. • AquaCrop adequately simulated the effects of irrigation and fertilization regimes on potato. • Simulation accuracy of DSSAT-SUBSTOR-potato was lower than that of AquaCrop. • 100% ET C along with N-P 2 O 5 -K 2 O rate of 200–80–300 kg ha−1 was recommenced for potato production. [ABSTRACT FROM AUTHOR]

The determination of threshold and the construction of thresholding function would directly affect the signal denoising quality in wavelet transform denoising techniques. However, some deficiencies exist in the conventional methods, such as fixed threshold value and the inflexible thresholding functions. To overcome the defects of the traditional wavelet thresholding techniques, a modified particle swarm optimization (MPSO) algorithm-based parametric wavelet thresholding approach is proposed for signal denoising. Firstly, a kind of parametric wavelet thresholding function construction method is proposed on the basis of conventional thresholding functions. With mathematical derivation, the properties of the constructed function are proved. Three dynamic adjustment strategies are then employed to modify the PSO algorithm. The mean square error (MSE) between the original signal and the reconstructed signal is minimized by the MPSO algorithm. Finally, the performances of the proposed approach and the existing methods are simulated by denoising four benchmark signals with different noise levels. The simulation results show that the proposed MPSO-based parametric wavelet thresholding can obtain lower MSE, higher signal-to-noise ratio, and noise suppression ratio compared to the other algorithms. Besides, the denoising visual results also indicate the superiority of the proposed approach in terms of the signal denoising capability. [ABSTRACT FROM AUTHOR]

In this study, three types of oxided multi-wall carbon nanotubes (o-MWCNT) with different diameters and oxygen-containing group content were used to synthesize Layered double hydroxides/mixed metal oxides-carbon nanotubes (LDH/MMO-CNT) nanohybrids via a homogeneous urea precipitation method. The surface morphology, structure, graphitization of as-prepared nanohybrids were investigated by Scanning electron microscopy, X-ray diffraction and Raman measurements, etc. The results showed that 3D hierarchical honeycomb nano-structured MMO-CNT was obtained when adding o-MWCNT with a diameter < 8 nm during preparation. And addition of o-MWCNT with a diameter > 30 nm; resulted in formation of a structure in which 1D CNT coupled with layers of 2D LDH/MMO with a “line-face” morphology. The results of bisphenol A degradation showed that addition of o-MWCNT with a smaller diameter led to better catalytic performance of MMO-CNT nanohybrids. It may be attributed to the better graphitization and highly dispersed activated components in the catalyst. [ABSTRACT FROM AUTHOR]

The objective of this study was to obtain water and nitrogen (N) management mode for water saving, high quality and proper yield of Arabica coffee in dry and hot region of southwest China. Taking full irrigation (FI) as the control, the effects of three deficit irrigation (DI) levels (DI 80 , DI 60 and DI 40 , with irrigation amount of 80, 60 and 40% FI, respectively) in dry season on growth, yield, nutritional quality and water use efficiency (WUE) of Arabica coffee were investigated under three N rates (N H : 140, N M : 100 and N L : 60 g N plant −1 ) using field experiments from 2013 to 2015, and the comprehensive benefit of yield and nutritional quality was evaluated using the technique for ordering preferences by similarity to ideal solution (TOPSIS) method. Compared with FI, DI 80 increased two-year averaged contents of protein, crude fat and chlorogenic acid in dry bean by 9.4, 26.0 and 12.5%, respectively, but reduced dry bean yield by 6.4%. DI 60 and DI 40 reduced dry bean yield and water use efficiency (WUE) greatly, but increased the contents of caffeine and crude fiber in dry bean. Compared with N L , enhancing N rate increased dry bean yield, WUE, and the contents of protein and chlorogenic acid in dry bean by 32.9–42.6, 32.1–45.4, 5.9–9.7 and 7.0–12.6%, respectively, and N M level had the largest dry bean yield, WUE and chlorogenic acid content in dry bean. FIN M treatment had the largest two-year averaged dry bean yield of 5587.42 kg ha −1 and 31.8% higher than FIN L treatment. DI 80 N H treatment had the best comprehensive benefit of yield and nutritional quality. Compared with FIN L treatment, DI 80 N H treatment increased two-year averaged dry bean yield, WUE and the contents of protein and chlorogenic acid by 29.5, 42.7, 19.3 and 20.0%, respectively. Thus the treatment of high N (140 g plant −1 ) and moderate deficit irrigation (irrigation amount was 80% of FI) was the suitable mode of water and nitrogen management for Arabica coffee, which could realize water-saving, high quality and proper yield of Arabica coffee simultaneously in the dry and hot region of southwest China. [ABSTRACT FROM AUTHOR]

Thresholding function is an important part of the wavelet threshold denoising method, which can influence the signal denoising effect significantly. However, some defects are present in the existing methods, such as function discontinuity, fixed bias, and parameters determined by trial and error. In order to solve these problems, a new wavelet thresholding function based on hyperbolic tangent function is proposed in this paper. Firstly, the basic properties of hyperbolic tangent function are analyzed. Then, a new thresholding function with a shape parameter is presented based on hyperbolic tangent function. The continuity, monotonicity, and high-order differentiability of the new function are theoretically proven. Finally, in order to determine the final form of the new function, a shape parameter optimization strategy based on artificial fish swarm algorithm is given in this paper. Mean square error is adopted to construct the objective function, and the optimal shape parameter is achieved by iterative search. At the end of the paper, a simulation experiment is provided to verify the effectiveness of the new function. In the experiment, two benchmark signals are used as test signals. Simulation results show that the proposed function can achieve better denoising effect than the classical hard and soft thresholding functions under different signal types and noise intensities. [ABSTRACT FROM AUTHOR]

Due to simple calculation and good denoising effect, wavelet threshold denoising method has been widely used in signal denoising. In this method, the threshold is an important parameter that affects the denoising effect. In order to improve the denoising effect of the existing methods, a new threshold considering interscale correlation is presented. Firstly, a new correlation index is proposed based on the propagation characteristics of the wavelet coefficients. Then, a threshold determination strategy is obtained using the new index. At the end of the paper, a simulation experiment is given to verify the effectiveness of the proposed method. In the experiment, four benchmark signals are used as test signals. Simulation results show that the proposed method can achieve a good denoising effect under various signal types, noise intensities, and thresholding functions. [ABSTRACT FROM AUTHOR]

Optimal sensor placement (OSP) is an important part in the structural health monitoring. Due to the ability of ensuring the linear independence of the tested modal vectors, the minimum modal assurance criterion (minMAC) is considered as an effective method and is used widely. However, some defects are present in this method, such as the low modal energy and the long computation time. A new OSP method named IAGA-MMAC is presented in this study to settle the issue. First, a modified modal assurance criterion (MMAC) is proposed to improve the modal energy of the selected locations. Then, an improved adaptive genetic algorithm (IAGA), which uses the root mean square of off-diagonal elements in the MMAC matrix as the fitness function, is proposed to enhance computation efficiency. A case study of sensor placement on a numerically simulated wharf structure is provided to verify the effectiveness of the IAGA-MMAC strategy, and two different methods are used as contrast experiments. A comparison of these strategies shows that the optimal results obtained by the IAGA-MMAC method have a high modal strain energy, a quick computational speed, and small off-diagonal elements in the MMAC matrix. [ABSTRACT FROM AUTHOR]

Modern control systems usually employ digital technology for controller implementation. The dynamics of the systems are naturally continuous, while control inputs are usually discrete when digital control is utilized. This paper deals with the finite-time stabilization problem of switched systems with sampled-data state feedback under asynchronous switching. The asynchronous switching idea originates from the fact that switching instants of the controllers lag behind or exceed those of subsystems. The attention is focused on designing an asynchronously switched sampled-data controller that guarantees the finite-time stability of the dynamic system. Especially, we consider the case that the switching time and sampling time are not uniform when the system is working. On the basis of finite-time stability theory and multiply Lyapunov functions approach, a finite-time stability condition related to dwell time and sampling period is established. Then, an asynchronously switched sampled-data controller is designed, and the corresponding switching law is also derived to guarantee the considered system to be finite-time stable. Two numerical examples are provided to show the effectiveness of the developed results. [ABSTRACT FROM AUTHOR]

This paper deals with the problem of state feedback stabilization with finite-time stochastic stability for a class of discrete-time switched stochastic linear systems under asynchronous switching. The attention is focused on designing the feedback controller that guarantees the finite-time stochastic stability of the dynamic system. The finite-time stochastic stability definition of discrete-time switched stochastic systems is introduced. The asynchronous switching idea originates from the fact that switching instants of the controllers lag behind or exceed those of subsystems. On the basis of the average dwell time method and multiple Lyapunov functions approach, a finite-time stochastic stability condition is established. Then, an asynchronously switched controller is designed and the corresponding switching law is derived to guarantee the considered system be finite-time stochastically stable. Two numerical examples are provided to show the effectiveness of the developed results. [ABSTRACT FROM AUTHOR]

Mango (Mangifera indica L.) is one of the widely grown fruit crops and brings remarkable economic benefit in the xerothermic regions of southwest China. However, mango yield and quality can not be guaranteed due to the severe seasonal drought, low precipitation and extensive management of water and fertilizer. To investigate the effects of irrigation amount and fertilizer regime on mango yield, fruit quality, water use efficiency (WUE) and partial fertilizer productivity (PFP), an orthogonal experiment [L 9 (3)4] was conducted on mango under drip fertigation during 2018–2019. The four factors were irrigation amount (IA) and fertilization rate at the flowering (F Ⅰ), fruit expansion (F Ⅱ) and fruit ripening (F Ⅲ) growth stages. There were three irrigation amounts, i.e., full irrigation (FI: 100%ET c), mild deficit irrigation (DI M : 75%ET c) and severe deficit irrigation (DI S : 50%ET c), and three fertilization rates, i.e., 75 (F 75), 50 (F 50) and 25 (F 25) kg ha−1 using a compound water-soluble fertilizer (N:P 2 O 5 :K 2 O=20%:20%:20%). The results showed the order of factors influencing fruit yield and WUE in terms of their importance was IA, F Ⅱ , F Ⅰ and F Ⅲ , that influencing water, vitamin C and carotenoid contents in fruit was IA, F Ⅲ , F Ⅱ and F Ⅰ , and that influencing soluble solids and total sugar contents was IA, F Ⅲ , F Ⅰ and F Ⅱ. The WUE of DI M F Ⅰ50 F Ⅱ75 F Ⅲ25 was highest. FIF Ⅰ25 F Ⅱ75 F Ⅲ50 achieved the highest fruit yield, PFP and contents of soluble solid, vitamin C and carotenoid. DI M F Ⅰ25 F Ⅱ50 F Ⅲ75 had the highest total sugar content and the lowest titratable acid content. Based on the comprehensive scoring method, DI M F Ⅰ50 F Ⅱ75 F Ⅲ25 achieved the optimum score in terms of fruit yield and water–fertilizer use efficiency, while FIF Ⅰ25 F Ⅱ75 F Ⅲ50 was optimum for fruit quality. Further, the TOPSIS method indicated DI M F Ⅰ50 F Ⅱ75 F Ⅲ25 had the optimal comprehensive benefit. To obtain high yield, quality and water–fertilizer use efficiency, the recommended water and fertilizer scheduling was irrigation with 75% ET c and fertilization with 50, 75 and 25 kg ha−1 at the flowering, fruit expansion and fruit ripening stages, respectively. The research results provided a scientific reference for identified optimum combination irrigation and fertilizer in the xerothermic environment of southwest China. • Fruit yield, WUE, PFP and quality were more sensitive to irrigation than staged fertilization. • Increasing fertilizer allocation at fruit expansion stage, FI elevated fruit yield and PFP, while DI M increased WUE. • Improving fertilizer allocation at the later growth, FI increased SS, VC and CC, while DI M increased TS. • Optimal strategy of irrigation and split fertilization for mango was revealed. [ABSTRACT FROM AUTHOR]

• Entropy weight method was used to determine the best water saving method for mango. • Sugarcane leaf mulching was significantly increased fruit yield and IWUE. • Sugarcane leaf mulching decreased the titratable acid by 31.3%. • Sugarcane leaf mulching with 50% ETC had the best fresh fruit quality. Rational application of field-management technology can not only improve mango (Mangifera indica L.) fresh fruit yield and quality but also improve irrigation water use efficiency (IWUE). However, few studies have involved the simultaneous use of mulch and irrigation-management techniques in hot and dry environments to achieve a relatively good level of performance. We used the entropy weight method (EWM) to explore an optimal mulching and irrigation-management technology for mango production in a dry hot environment. Three irrigation levels [FI, 100% mango evapotranspiration (ET C); DI 75 , 75% ET C ; DI 50 , 50% ET C ] were designed with (SM) and without (NM) sugarcane leaf mulching in 2018 and 2019 in a dry hot environment. The results showed that the photosynthetic rate, stomatal conductance, transpiration rate, leaf water-use efficiency, and carboxylation efficiency in the SM treatment were 12.5% to 83.7% higher than those in the NM treatment in both years. Compared with the NM treatment, the SM treatment increased the fresh fruit yield and IWUE by 45.7% and 49.7% in 2018 and by 46.1% and 63.2% in 2019. The solid-to-acid ratio and sugar-to-acid ratio in the SM treatment were 48.5% and 50.4% higher than those in the NM treatment, respectively, but the titratable acid content decreased by 31.3%. Compared with FI, DI 75 increased carotenoid content, total soluble solids, solid-to-acid ratio and sugar-to-acid ratio by 8.4%–40.7%, while it reduced titratable acid by 22.8%. Compared with FI, DI 50 reduced fresh fruit yield by 24.3% and 21.9% in 2018 and 2019, respectively, while it increased IWUE by 13.6% and 17.7%. The fresh fruit yield of SMDI 75 was the highest, which was 1.42 and 1.44 times that of NMFI in both years, respectively. A comprehensive evaluation by EWM also showed that the SMDI 50 treatment had the highest comprehensive scores of mango yield, quality and water-use efficiency, which could provide a basis for the scientific management of mango fertiliser in dry and hot areas of China. [ABSTRACT FROM AUTHOR]

[Display omitted] • MaxEnt and AHP-GIS were used to predict potential distribution. • Bio5, Bio6, Bio12, altitude, slope, sand and silt were the most key factors. • Under SSPs370, the most suitable area of Arabica coffee has increased. • Arabica coffee showed range expansions towards higher elevation and latitude. Coffee, as one of three major beverages all over the world, is featured by many functions mainly including refreshment, diuresis, invigorating stomach and stimulating appetite. However, there still lack of studies regarding the potential distribution of suitable planting regions and the important environmental factors that affect the growth and development of Arabica coffee. Based on climate, terrain and soil data, MaxEnt model and AHP-GIS technology were used to evaluate and analyze the increase and decrease range of Arabica coffee ecological suitability planting areas and most suitable areas in different periods, determine the most significant environmental factors affecting ecological suitability, and determine the distribution transformation under climate change scenario (SSPs370). Results showed that the ecological suitability of Arabica coffee plantation was mainly subjected to the climate factors, among which the maximum temperature in the warmest month, minimum temperature in the coldest month and the annual precipitation were particularly important, followed by terrain and soil factors. The model accuracies of MaxEnt and AHP-GIS were 0.925 and 0.833 respectively, indicating that the two methods were reliable in the ecological suitability evaluation of Arabica coffee. MaxEnt predicted that the most and moderately suitable area accounted for 16.26% and 22.59%, and AHP-GIS predicted that they accounted for 13.35% and 41.32% of the total area respectively. The most and moderately suitable areas were mainly concentrated in west, southeast, south and southwest Yunnan. Under the future climate scenario model, MaxEnt and AHP-GIS predicted that the area of the most suitable area would increase by 2.62 × 104–4.42 × 104 km2 and 3.53 × 104–5.44 × 104 km2 respectively from 2021 to 2100, which were mainly concentrated in west, southwest and southeast Yunnan. At the same time, the distribution of the most suitable area migrated northward generally to higher altitude and higher latitude, and the migration distance was 27.44–92.22 km. The predicted potential distribution of Arabica coffee based on MaxEnt model and AHP-GIS model could provide reference for the implementation of long-term planning and development programs so as to alleviate the effects of climate change on the distribution of Arabica coffee. [ABSTRACT FROM AUTHOR]

• Micro-moistening irrigation (MM) significantly increased dry mass (DM) accumulation and water-fertilizer use efficiency of young mango tree. • Moderate fertilization rate (F M) had the highest leaf net photosynthetic rate (P n), hydraulic conductivity and healthy index (H i). • MMF M treatment was the suitable coupling mode of irrigation and fertilization management for young mango tree. Unsuitable irrigation and soil nutrient deficiency affect the normal physiology and growth of mango (Mangifera indica L.) of tropical fruit tree in Southwest China. To obtain optimal fertigation mode for mango, the effects of three micro-irrigation methods (i.e., micro-sprinkler irrigation (SI), drip irrigation (DI) and micro-moistening irrigation (MM)) on photosynthetic characteristics, hydraulic conductivity, growth and water-fertilizer use efficiency of young mango tree were investigated under four fertilization rates (i.e., 0 g plant−1 (F N), 9.3 g plant−1 (F L), 18.6 g plant−1 (F M) and 27.9 g plant−1 (F H), a compound water-soluble fertilizer) using a randomized block design experiment. The results indicated that DI and MM increased net photosynthetic rate (P n) by 17.50 and 28.95%, root hydraulic conductivity (K r) by 39.65 and 52.69%, shoot hydraulic conductivity (K sh) by 48.63 and 82.38%, total dry mass (DM) by 27.44 and 47.13%, water use efficiency (WUE ET) by 43.27 and 73.17%, fertilizer agronomic efficiency (FAE) by 45.92 and 95.41%, and partial factor productivity of fertilizer (PFP) by 33.96 and 54.44%, but reduced transpiration rate (T r) by 6.61 and 16.38%, leaf with petiole hydraulic conductivity (K l+p) by 13.11 and 30.32%, and water consumption (ET) by 10.38 and 14.85% when compared with SI. Compared with F N , enhancing fertilization rate significantly increased P n , T r , total hydraulic conductivity (root to leaf), total DM , healthy index (H i) and WUE ET , and their maximum values appeared in the F M. FAE firstly increased and then decreased, while PFP gradually reduced with the increase of fertilization rate. MMF M had the highest total DM and WUE ET , 2.32 and 2.58 times of SIF N (CK), and the largest FAE of 4.95 kg−1. Thus, MMF M (micro-moistening irrigation with moderate fertilization rate of 18.6 g plant−1) significantly promoted growth and improved water-fertilizer use efficiency of young mango tree, which was the best coupling mode of irrigation method and fertilization rate. [ABSTRACT FROM AUTHOR]

• A novel (octylamine modified vermiculite) material for enhanced simultaneous removal of Cd(II) and Pb(II). • Modification involved ion exchange and surface complexation properties between surfactant and vermiculite. • Modified material was low lost with no secondary pollution. • After modification, adsorbent showed >220 % metal uptake with easy separation and recyclability. Cadmium (Cd) and lead (Pb) have been remained the topic of investigation for various research studies because of their adverse effects on human health, furthermore, they have toxic and non‒biodegradable properties. In this study, vermiculite (VER) was functionalized with octylamine (OCT) to obtain a novel organoclay (OCT-VER) for enhanced simultaneous adsorption of Cd(II) and Pb(II) from aqueous solution. Adsorbents were characterized and parameters influencing on adsorption were also investigated. The adsorption of Cd(II) and Pb(II) by OCT-VER was monolayer and homogenous which was described well by Langmuir isotherm model. After modification, the affinities of OCT-VER towards both metal ions were enhanced. In single system, maximum adsorption capacities for Cd(II) and Pb(II) were improved from 45.245 and 102.289 mg.g−1 to 69.595 and 184.603 mg.g−1, while in binary system from 37.539 and 78.265 mg.g−1 to 61.630 and 121.986 mg.g−1, respectively. In adsorbent regeneration experiment of OCT-VER, the removal ratio was found ≈90 % even after 5 consecutive cycles, exhibiting good stability and easy regeneration potential. After studying thoroughly, ion-exchange and complexation properties were the main reaction mechanism. These findings suggested that the proposed low cost adsorbent was suitable and promising material for Cd(II) and Pb(II) adsorption in water. [ABSTRACT FROM AUTHOR]

Background: Trametes trogii is a member of the white-rot fungi family, which has a unique ability to break down recalcitrant lignin polymers to CO2 and water, and they have enormous potential to biodegrade a wide range of toxic environmental pollutants. Because of its industrial potential, the identification of lignin-degrading enzyme systems in Trametes is an important area of research. Development and utilization of industrial value genes are suffering due to deficiency knowledge of genome available for their manipulation. Results: In the present study, Homokaryotic strains of T. trogii S0301 were screened and sequencing by PacBio Sequel II platform. The final draft genome is ~ 39.88 Mb, with a contig N50 size of 2.4 Mb, this was the first genome sequencing and assembly of T. trogii species. Further analyses predicted 14,508 protein-coding genes. Results showed that T. trogii S0301 contains 602 genes encoding CAZymes, include 211 glycoside hydrolase and 117 lignin-degrading family genes, nine laccases related genes. Small subunit ribosomal RNA gene (18S rRNA) sequencing confirms its phylogenetic position. Moreover, T. trogii S0301 has the largest number of cytochromes P450 (CYPs) superfamily genes compare to other fungi. All these results are consistent with enzymatic assays and transcriptome analysis results. We also analyzed other genome characteristics in the T. trogii S0301genome. Conclusion: Here, we present a nearly complete genome for T. trogii S0301, which will help elucidate the biosynthetic pathways of the lignin-degrading enzyme, advancing the discovery, characterization, and modification of novel enzymes from this genus. This genome sequence will provide a valuable reference for the investigation of lignin degradation in the Trametes genus. [ABSTRACT FROM AUTHOR]