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    25 May 2026, Volume 65 Issue 5
    New Quality Productivity in Agriculture
    The impact of agricultural new quality productivity development on carbon emissions in major grain-producing regions
    ZHAO Yao-yang, YANG Yin-chun, WU Bao-lin
    2026, 65(5):  1-6.  doi:10.14088/j.cnki.issn0439-8114.2026.05.001
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    To explore the impact effect and mechanism of agricultural new quality productivity on carbon emissions,based on provincial panel data from 13 major grain-producing regions between 2012 and 2023, an evaluation system for agricultural new quality productivity was constructed. The system encompassed new agricultural labourers, means of labour, and objects of labour. The two-way fixed effects model, mediating effect model, and quantile regression were used to empirically analyze its carbon reduction effects. The results showed that agricultural new quality productivity significantly and robustly reduced carbon emissions, a result that remained valid after multiple robustness tests. This effect was primarily achieved by promoting the transition of smallholder farmers toward moderate-scale operations, with the expansion of operational scale serving as a key mediating mechanism. A heterogeneity analysis revealed that the carbon reduction effect was more pronounced in northern regions than in southern regions, and this effect was consistent across high-, medium-, and low-emission areas. Based on this, it was recommended to strengthen policy support, optimize market guidance, and deepen rural institutional reforms, in order to provide references for the green and low-carbon transition of agriculture.
    The logical mechanism and path of new quality productive forces empowering high-quality development of rural industries
    LI Ning
    2026, 65(5):  7-12.  doi:10.14088/j.cnki.issn0439-8114.2026.05.002
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    To advance high-quality rural industrial development and solidly promote comprehensive rural revitalization, based on the theoretical, institutional, and practical logic mechanisms of empowering high-quality development of rural industries through new quality productive forces, this study conducted an in-depth analysis of current challenges, including inadequate technological adaptation, imbalanced resource allocation, sluggish industrial transformation and upgrading, and insufficient institutional safeguards. Finally, it proposed strengthening technological innovation and application to consolidate core support for empowerment; optimizing factor allocation mechanisms to solidify the foundation for long-term development; promoting in-depth industrial transformation to expand spatial development dimensions; and strengthening institutional system construction to enhance the development of foundation security.
    Breeding & Cultivation
    Breeding and cultivation techniques of a rapeseed variety Mianyou 93 with high oil and high yield and suitable for mechanical harvesting
    LIU Li-fang, MENG Da-qing, FAN Qi-xin, ZHU Yan, ZHANG Jie, LIU Nian
    2026, 65(5):  13-16.  doi:10.14088/j.cnki.issn0439-8114.2026.05.003
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    Mianyou 93 is a three-line double-low (low erucic acid and glucosinolate) rapeseed (Brassica napus L.) variety. It features outstanding advantages such as high yield, high oil content, suitability for mechanical harvesting, and dual-use for oil and vegetable purposes. It is suitable for autumn planting in winter rapeseed regions of Sichuan Province in plain-hilly ecological zones. From 2021 to 2023, it participated in the Tianfu Rapeseed High-Yield Trials in Sichuan Province. The two-year average yield was 3 344.4 kg/hm2, representing an 11.16% yield increase over the control variety Deyou 6. It showed yield increase at 15 of 16 trial sites, with a yield-increase rate of 93.75%. The average oil content of its seeds was 45.8%, erucic acid content was 0.1%, and glucosinolate content was 20.12 μmol/g. Its rapeseed shoots were rich in nutrients, with vitamin C content of 1 210 mg/kg, calcium content of 1 620 mg/kg, zinc content of 10.6 mg/kg, soluble sugar content of 2.76%, and total amino acid content of 4.45 g per 100 g. This variety was registered as a non-major crop variety in China in 2024. Its cultivation techniques were also introduced.
    Effects of nitrogen and potassium combined application on growth and yield of sweet potato under shading conditions
    CHAI Sha-sha, ZHAI Hong, ZHANG Meng, WANG Lian-jun, LEI Jian, JIN Xiao-jie, XU Jun-le, YANG Xin-sun
    2026, 65(5):  17-25.  doi:10.14088/j.cnki.issn0439-8114.2026.05.004
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    In order to explore the effects of nitrogen and potassium combined application on the growth and yield of sweet potato [Ipomoea batatas (L.) Lam.] under shading conditions, the long-vine variety G8017 and the short-vine variety G8507 were used as materials, and four nitrogen and potassium ratios were set up [CK: blank control; C1: low nitrogen and low potassium (urea 75 kg/hm2 + potassium sulfate 150 kg/hm2); C2: high nitrogen and low potassium (urea 300 kg/hm2 + potassium sulfate 150 kg/hm2); C3: high nitrogen and high potassium (urea 300 kg/hm2 + potassium sulfate 600 kg/hm2)]. The pot experiment was carried out under 50% shading environment, and the agronomic traits, photosynthetic characteristics and yield were measured. The results showed that C2 significantly promoted the increase of vine length. C3 showed the best performance in stem diameter, branch number, root dry weight and yield, and effecitively increased chlorophyll content, net photosynthetic rate and antioxidant enzyme activity. Correlation analysis showed that the root yield of the two varieties was significantly positively correlated with the number of branches, stem diameter, dry matter weight above ground and dry matter weight of tubers, and negatively correlated with vine length and T/R(the ratio of shoot dry weight to root dry weight). In summary, C3 (high nitrogen and high potassium) was a suitable fertilization strategy for sweet potato cultivation under moderate shading conditions.
    Determination of the optimal sowing and harvest periods for high-quality wheat Xinmai 26 and Yangmai 15 in Henan Province
    LI Xiao-han, YU Bao-an, HU Cheng-da
    2026, 65(5):  26-32.  doi:10.14088/j.cnki.issn0439-8114.2026.05.005
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    To determine the suitable sowing and harvesting dates for high-quality wheat (Triticum aestivum L.) varieties in Henan Province, a stage-sowing experiment was conducted using the semi-winter wheat variety Xinmai 26 and the spring wheat variety Yangmai 15 at six agrometeorological experimental stations in Anyang, Hebi, Zhengzhou, Shangqiu, Huangfan District, and Xinyang from 2023 to 2024. Four sowing dates were set up to analyze the changes in aboveground dry matter weight before wintering, final yield at harvest, and climatic resource utilization efficiency of wheat in different regions of Henan Province under various combinations of sowing and harvesting dates. The results showed that spatially, the actual yield and climatic resource utilization efficiency of both wheat varieties exhibited a decreasing trend from north to south, whereas the photo-thermal potential productivity showed an increasing trend from north to south. For Xinmai 26, the accumulated temperature above 0 ℃ before wintering should be controlled at approximately 600 ℃·d, with the optimal sowing period from mid-to-late October. As a spring wheat variety, Yangmai 15 should have an accumulated temperature above 0 ℃ before wintering of around 580 ℃·d, and its optimal sowing period ranged from mid-October to early November. Principal component analysis of meteorological elements at harvest and five days after harvest for Xinmai 26 and Yangmai 15 indicated no significant varietal difference in the climatic characteristics of the first principal component, which was comprehensively influenced by temperature, sunshine, and precipitation. Only slight varietal differences existed in the effects of minimum temperature and precipitation on the second principal component. Based on these findings, targeted meteorological responses and disaster prevention measures could be implemented.
    Correlation analysis of grain functional components and agronomic traits with yield in barley under nanozyme treatment
    ZHOU Rui, KANG Zhi-yu
    2026, 65(5):  33-38.  doi:10.14088/j.cnki.issn0439-8114.2026.05.006
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    To investigate the effects of grain functional components and agronomic traits on yield in two barley varieties (Hordeum vulgare L.) under nanozyme treatment, Baosi 27 and Yunpimai 511 were used as experimental materials. The effects of functional components (total flavonoids, γ-aminobutyric acid (GABA), total polyphenols, protein, and reducing sugars) and agronomic traits (plant height, spike length, plant weight, spikelet number, grain number per spike, grain weight per spike, and tiller number) on barley yield were examined under four nanozyme application levels (volume fractions of 0, 15.0%, 22.5%, and 30.0%). The results showed significant differences in grain functional components, partial agronomic traits, and yield of the two barley varieties under different nanozyme treatments, and the application level of 22.5% nanozyme performed the best. Correlation analysis and path analysis showed that total polyphenols, protein and reducing sugar were the main factors affecting the yield of Baosi 27. The functional components of Yunpimai 511 have no significant effect on yield. Among the agronomic traits of Baosi 27, plant height, plant weight and grain weight per spike were the main factors affecting its yield. Among the agronomic traits of Yunpimai 511, spike length and grain weight per spike were the main factors affecting its yield.
    Identification and evaluation of agronomic traits of different Setaria italica germplasm resources
    WANG Yu-wen, LI Xin-ru, KANG Lin, FAN Xiao-qing, WENG Qiao-yun, ZHAO Zhi-hai, FAN Guang-yu, WANG Xiao-ming, LIU Ying-hui, WANG Feng
    2026, 65(5):  39-45.  doi:10.14088/j.cnki.issn0439-8114.2026.05.007
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    The identification and integrated evaluation of agronomic traits in Setaria italica germplasm resources from different sources were conducted to screen high-quality and high-yielding suitable varieties, providing a basis for Setaria italica breeding innovation, promotion of cultivation, and agricultural structure adjustment. An integrated evaluation of key agronomic traits was performed on 460 Setaria italica germplasm resources sourced from various regions. The results showed that the ranking of variation coefficients for quantitative traits among all germplasm resources of the tested Setaria italica was as follows: total number of leaves<grain yield<spike length<spike thickness<spike neck length<thousand kernel weight<spike weight; among all agronomic traits, the length of the top second leaf showed an extremely significant positive correlation with its width (r=0.503), representing the strongest positive correlation observed; the total leaf count exhibited an extremely significant negative correlation with the spike neck length (r=-0.583), which was the strongest negative correlation among all analyzed traits. Principal component analysis identified five principal components, which collectively accounted for 78.4% of the total variance. The top 10 ranked Setaria italica germplasm resources by comprehensive score were Zheng 256, Louxuanfeng, Yigenqi, Majiangsheng, Banyelai, Bagu 257, Chaoyang Daisui 1, Huanggu, 338A, and Xiangyanggu.
    Resource & Environment
    Synergistic assessment of maize yield and soil carbon sink in Northeast China based on the CENTURY model
    MAO Yi-ru, ZUO Li-jun, SUN Fei-fei, XU Jin-yong, ZHAO Yuan-yuan
    2026, 65(5):  46-55.  doi:10.14088/j.cnki.issn0439-8114.2026.05.008
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    The CENTURY model was used to simulate maize yield and soil organic carbon content in Northeast China from 2000 to 2020 under different farmland management practices. The objectives were to identify the key factors affecting maize production in Northeast China and to evaluate the effects of changes in farmland management practices on maize yield and soil carbon sequestration. The results showed a trade-off relationship between maize yield and soil carbon sequestration under different tillage methods. Deep plowing combined with mechanical tillage effectively increased maize yield in the short term but was detrimental to long-term stable production. The positive effects of increasing fertilizer application on yield improvement and soil carbon sequestration became non-significant after 20 years. Straw return required continuous implementation for more than 10 years to exert a significant impact on the soil carbon pool. Increasing irrigation volume promoted maize production and soil carbon sequestration capacity to a certain extent. From 2000 to 2020, the adoption of reduced tillage increased soil carbon sequestration by 2 922 g/m2 and resulted in a maize yield increase of more than 10% compared with deep plowing combined with mechanical tillage. A 25% reduction in fertilizer application was more conducive to the stability of farmland system productivity.
    Synergistic effectiveness of thermophilic microbial agent with hydrochloric acid composting in micro-reactor
    CHEN Wen-hui, ZHANG Zheng, YUAN Jun-wei, WANG Yi, LIN Si-yuan, CAO Yu-xian, HOU Jun
    2026, 65(5):  56-62.  doi:10.14088/j.cnki.issn0439-8114.2026.05.009
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    In order to investigate the composting effect of the thermophilic microbial agent combined with hydrochloric acid in the micro-reactor, the aerobic composting method was used under the condition of micro-reactor composting. Four treatments were set up, which were conventional fermentation agent at 1.5% of fresh material weight (CK), conventional fermentation agent at 1.5% of fresh material weight with 0.03 mol H+ per kilogram of material (CKA), thermophilic microbial agent at 2.0% of fresh material weight (TMF), and thermophilic microbial agent at 2.0% of fresh material weight with 0.03 mol H+ per kilogram of material (TMFA). The fermentation period was 21 days to explore the nitrogen transformation characteristics and maturity effect of the thermophilic microbial agent combined with hydrochloric acid composting. The results showed that the thermophilic microbial agent could increase the temperature of the pile, up to 55.35 ℃, and increase the moisture content of the pile. At 17 d, the seed germination index of each treatment was greater than 70%, reaching a completely decomposed state. Compared with CK, TMFA significantly reduced the pH and electrical conductivity of the pile, and significantly increased the nitrate nitrogen content by 55.52% (P<0.05), but the total nitrogen and total carbon losses were significantly increased by 42.59% and 42.19%, respectively(P<0.05). The addition of hydrochloric acid under the conventional fermentation agent increased the total nitrogen content by 8.35%, while the addition of hydrochloric acid under the thermophilic microbial agent increased the total nitrogen content by 2.99% and significantly increased the total carbon content by 15.36% (P<0.05). There was no significant difference in the cumulative emission of ammonia in each treatment (P>0.05).
    Effects of straw return rate on soil nitrogen dynamics and wheat yield formation in dryland wheat fields
    LIANG Yi-fei, WANG Guang-ze, WANG Hao-ying, DUAN Cheng-jiao, LI Li, XIE Jun-yu, LI Ting-liang
    2026, 65(5):  63-69.  doi:10.14088/j.cnki.issn0439-8114.2026.05.010
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    To address issues such as excessive chemical fertilizer application in dryland wheat fields on the Loess Plateau, and to clarify the effects of different straw return rates replacing chemical fertilizers on soil nitrogen pool dynamics and yield formation in dryland winter wheat systems,a field experiment was conducted in the dryland wheat region of southern Shanxi on the Loess Plateau from 2018 to 2023 (five consecutive years), with four treatments: no straw return (S0), half-rate straw return (S1/2), full-rate straw return (S1), and double-rate straw return (S2). The impacts of different straw return rates on soil nitrogen fertilizer use efficiency, soil nitrogen pool dynamics, and winter wheat (Triticum aestivum L.) yield formation were systematically analyzed. The results showed that straw return replacing chemical fertilizers reduced soil residual nitrate nitrogen. Compared with the initial stage of the experiment in 2018, the total nitrate nitrogen accumulation in the 0-200 cm soil layer at harvest in 2023 decreased by 54.40%-87.54%, whereas that in the 160-200 cm soil layer increased by 4.55%-425.32%, indicating a downward leaching trend of nitrate nitrogen. In terms of nitrogen budget, straw return substituting chemical fertilizers increased soil nitrogen surplus and apparent nitrogen loss; specifically, S2 significantly increased these indices by 70.70% and 198.89%, respectively, compared with S0 (P<0.05). Straw return enhanced soil labile organic nitrogen contents. The contents of microbial biomass nitrogen, dissolved organic nitrogen, light fraction organic nitrogen, and total nitrogen in S2 were significantly higher than those in S0 by 62.58%, 33.09%, 160.00%, and 14.29%, respectively (P<0.05), while no significant change was observed in heavy fraction organic nitrogen content. Straw return increased dryland winter wheat yield, with the grain yield in S1/2, S1, and S2 significantly higher than that in S0 by 11.06%, 17.73%, and 31.80%, respectively (P<0.05). Overall, double-rate straw return [10 682 kg/(hm2·a)] could be recommended as an important technical measure for green and sustainable production of winter wheat in dryland areas of the Loess Plateau.
    Yield and nutrient effects of different straw returning methods under rice-wheat rotation in Jianghan Plain
    ZHANG Yu-hao, ZHOU Jian-xiong, XIONG You-sheng, YUAN Jia-fu, XU Xiang-yu, LI Ji-fu, LIU Wei
    2026, 65(5):  70-75.  doi:10.14088/j.cnki.issn0439-8114.2026.05.011
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    To clarify the effects of different straw returning methods on crop yield, nutrient uptake and soil fertility in the rice-wheat rotation region of Jianghan Plain, a field experiment was conducted in Hanchuan City, Hubei Province from November 2015 to October 2017, in which the first year was from November 2015 to October 2016 and the second year was from November 2016 to October 2017.Four treatments were set up, including no straw returning in both rice and wheat seasons(control), rice straw returning, wheat straw returning and straw returning in both rice and wheat seasons, and the dynamic changes of crop yield, nitrogen, phosphorus and potassium uptake and soil nutrients were systematically measured. The results showed that in the second year, straw returning treatments increased rice yield, and among them, straw returning in both rice and wheat seasons had the most significant yield-increasing effect. In terms of nutrient uptake, compared with the control treatment, straw returning in both rice and wheat seasons in the second year significantly promoted the uptake of nitrogen, phosphorus and potassium by rice, while no significant difference was observed among treatments in the wheat season. In terms of soil pH and nutrients, the soil pH under straw returning treatments in the rice season of the second year was lower than that under the control treatment, and the contents of soil organic matter, total nitrogen, alkali-hydrolyzable nitrogen, available phosphorus and available potassium in all treatments in the rice season were higher than those in the wheat season. In the rice-wheat rotation system, both straw returning in both rice and wheat seasons and wheat straw returning in the second year effectively improved rice yield and nutrient use efficiency, and it was suggested that when promoting straw returning technology, rational combined application of nitrogen, phosphorus and potassium and water management measures should be integrated to further optimize the returning mode and achieve the synergistic improvement of high crop yield and soil fertility.
    Nutrient variation characteristics of greenhouse cucumber soil solution under different fertilization concentrations
    LIANG Xin-shu, ZHANG Shuai, LIAN Xiao-juan, WANG Yan
    2026, 65(5):  76-81.  doi:10.14088/j.cnki.issn0439-8114.2026.05.012
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    To more efficiently guide scientific fertilization for crops and determine the appropriate nutrient concentration in soil solution, cucumber (Cucumis sativus L.), a crop with high water and fertilizer requirements, was selected as the test material. A pot experiment was conducted to investigate the variations in soil solution nutrients and their correlations with soil chemical properties and cucumber yield under seven fertilization concentrations (0, 0.5, 1.0, 2.0, 4.0, 6.0, and 8.0 g/L, based on total fertilizer application). The results showed that the trends of soil solution nutrient indicators and soil nutrient indicators were generally consistent under different fertilization concentrations, and a highly significant positive correlation (P<0.01) was observed between them, indicating that soil solution nutrient measurement could replace soil nutrient analysis to evaluate soil nutrient supply intensity. The yield per plant increased with increasing fertilization concentration when it was below 2.0 g/L. When the fertilization concentration exceeded 2.0 g/L, further increases in fertilizer concentration led to a continuous decline in yield, accompanied by severe accumulation of nutrients and salts in the soil solution. By fitting regression equations, the appropriate fertilization concentration range targeting higher than 95% of the maximum yield was quantified, and the results showed that the yield range was 1.34-1.41 kg per plant, the corresponding suitable fertilization concentration was 1.03-1.87 g/L, and the corresponding soil solution electrical conductivity, inorganic nitrogen, available phosphorus, and available potassium were 2.27-3.64 mS/cm, 216.7-438.0 mg/L, 18.3-24.6 mg/L, and 172.6-359.0 mg/L, respectively.
    Effects of reduced potassium fertilizer combined with microbial agent on growth,photosynthetic characteristics, and potassium absorption and utilization of sweet cherry
    SUN Ying, GONG Xiao-di, WANG Bai-chen, WU Fang-ming, YU Jing-bo
    2026, 65(5):  82-85.  doi:10.14088/j.cnki.issn0439-8114.2026.05.013
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    To investigate the regulatory effects of reduced potassium fertilizer combined with microbial agent on the growth and potassium absorption and utilization of sweet cherry, a 6-year-old sweet cherry cultivar Hongdeng was used as the experimental material, and six treatments were set up: no fertilizer control (CK), conventional potassium fertilizer (K100), reduced potassium fertilizer (K75, 25% reduction of potassium fertilizer), single application of microbial agent (B), reduced potassium fertilizer combined with microbial agent (K75B), and conventional potassium fertilizer combined with microbial agent (K100B), and the effects of different treatments on tree growth, photosynthetic characteristics, potassium absorption and utilization, and soil available potassium content were systematically analyzed. The results showed that the K75B treatment significantly promoted the vegetative growth and photosynthetic function of sweet cherry. In terms of potassium absorption and utilization, the K75B treatment significantly increased leaf potassium content by 8.3% compared with the K100 treatment, increased potassium fertilizer use efficiency (KUE) by 27.4%, significantly increased potassium absorption rate by 13.0%, and significantly increased fruit potassium distribution coefficient (KRE) by 14.8%. The determination results of soil available potassium content showed that the K75B treatment maintained a high level of available potassium at all growth stages. Paenibacillus mucilaginosus activated soil insoluble potassium by secreting organic acids and promoted the root's ability to absorb potassium, and thus achieved a synergistic improvement in the potassium absorption efficiency and distribution efficiency of sweet cherry under the condition of 25% reduction in potassium fertilizer application.
    Dual regulation of shading effects and crop cultivation on soil quality in agricultural photovoltaic systems
    CHEN Zhuo, SHI Feng, BAN Tian-tian, LIU Xiao-cui, MA Chao
    2026, 65(5):  86-91.  doi:10.14088/j.cnki.issn0439-8114.2026.05.014
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    In order to explore the effect of agricultural photovoltaic system on soil quality, three treatments were set up: planting cabbage under photovoltaic panel (A), bare soil under photovoltaic panel (B) and open-field bare soil (CK). The changes of soil nutrient content, pH, conductivity and organic matter content before and after planting were measured. The results showed that shading combined with Chinese cabbage planting (A) significantly increased the contents of alkali-hydrolyzoble nitogen (increased by 11.84 mg/kg), available potassium (increased by 148.00 mg/kg), available phosphorus (increased by 13.39 mg/kg) and organic matter (increased by 14.93 g/kg), but simultaneously aggravated soil acidification (pH decreased by 0.42) and salt accumulation (conductivity increased by 209.53 μS/cm). Only shading (B) inhibited the accumulation of water-soluble salts (conductivity decreased by 85.50 μS/cm), but led to phosphorus fixation (available phosphorus content decreased by 4.35 mg/kg) and available potassium nutrient loss (decreased by 49.61 mg/kg), highlighting the necessity of crop regulation. Open-field bare soil reduced water-soluble salt accumulation due to natural leaching (conductivity decreased by 94.63 μS/cm), but the loss of nitrogen-available nutrients was significant (alkali-hydrolyzed nitrogen content decreased by 33.32 mg/kg). The optimization strategies such as partition planting, application of corrosion-resistant materials and intelligent water and salt regulation were proposed to provide a scientific basis for the high-quality development of agricultural photovoltaic systems.
    Effects of different amendments on selenium bioavailability in the soil-soybean system
    ZHOU Wei, WANG Dan, WANG Meng-yuan, ZHANG Yang-yang
    2026, 65(5):  92-98.  doi:10.14088/j.cnki.issn0439-8114.2026.05.015
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    To explore the effects of different amendments on selenium bioavailability in the soil-soybean system, a field experiment was conducted on selenium-containing soil in Longzhou Village, Jingzhou District, Jingzhou City, Hubei Province, in which five organic materials including rice straw biochar, mineral-derived potassium fulvate, decomposed organic chicken manure, mineral-derived humic acid and Aspergillus niger agent, as well as a compound amendment, were selected, and the available selenium content in soil and the selenium content in various organs of soybean were measured. The results showed that the grain selenium content was highest under the treatments of application of rice straw biochar at the maturity stage and topdressing of mineral-derived humic acid at the branching stage only, reaching 0.434 mg/kg and 0.403 mg/kg, respectively. The compound amendment at three times the normal dosage was beneficial for increasing the available selenium content in soil, but most treatments with three times the dosage of amendments did not promote selenium content accumulation in soybean grains.Selenium showed an obvious enrichment characteristic toward grains within the soybean plant, and amendments mainly affected the accumulation by regulating distribution efficiency. Reasonable selection of amendment types, control of dosage, and matching the critical period of soybean selenium demand (branching stage or seed-filling stage) effectively improved soil selenium bioavailability and the selenium content in soybean grains, whereas excessive application exerted an inhibitory effect.
    Effects of fertilizer application rate on yield, nutrient uptake and soil chemical properties of Exiang 2 under rice-crayfish co-cropping mode
    LIU Yu-hua, LI Jia-ying, SI Guo-han, ZHAO Shu-jun, PENG Cheng-lin
    2026, 65(5):  99-104.  doi:10.14088/j.cnki.issn0439-8114.2026.05.016
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    To determine the appropriate nitrogen application rate for Exiang 2 rice under rice-crayfish co-cropping mode, a field fixed-site experiment was conducted from 2019 to 2021, with five fertilizer treatments (CK,T1~T4) set up, in which the nitrogen application rates were 0, 75, 120, 165 and 210 kg/hm2, respectively, and the effects of different fertilizer application rates on rice yield and its components, plant nutrient accumulation and soil physicochemical properties were systematically analyzed. The results showed that with the increase of fertilizer application rate on Exiang 2, the actual harvested yield of rice showed an increasing trend, and when the fertilizer application rate reached 276.0 kg/hm2, the actual harvested yield of rice was significantly higher than that of the control; further increasing the fertilizer application rate (treatments T3 and T4) did not result in a significant difference in actual harvested yield compared with treatment T2. The main way to achieve yield increase for Exiang 2 was to increase the number of effective panicles.The accumulations of nitrogen, phosphorus and potassium in grain and straw all showed an increasing trend with the increase of fertilizer application rate. Fertilization significantly increased the contents of soil available phosphorus and available potassium, but had little effect on pH, organic matter and alkali-hydrolyzable nitrogen. Considering yield, nutrient uptake and soil fertility maintenance comprehensively, the recommended economic fertilizer application rate for Exiang 2 under rice-crayfish co-cropping mode was 345.3-447.3 kg/hm2, of which the economic application rates of N, P2O5 and K2O were 150.1-194.5 kg/hm2, 75.1-97.2 kg/hm2 and 120.0-155.6 kg/hm2, respectively.
    Plant Protection
    Biological characteristics of Colletotrichum gloeosporioides from golden passion fruit and screening of fungicides
    YANG Cui-feng, TENG Zheng, HOU Xian-bin, NIU Jun-le, XIONG Ding-mi
    2026, 65(5):  105-113.  doi:10.14088/j.cnki.issn0439-8114.2026.05.017
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    To identify the pathogen causing anthracnose in golden passion fruit(Passiflora edulis Sims), a pathogenic fungus isolated from diseased tissues was identified as Colletotrichum gloeosporioides using a combination of morphological observation, molecular biological analysis, and pathogenicity testing. The effects of different culture media, carbon sources, nitrogen sources, pH, and temperatures on the mycelial growth of this pathogen were investigated by the mycelial growth rate method, and its sensitivity to five fungicides was determined. The results showed that PDA medium was the most suitable for the growth of Colletotrichum gloeosporioides from golden passion fruit; glucose was the optimal carbon source and peptone was the optimal nitrogen source. The suitable temperature range for mycelial growth was 25-30 ℃, with the optimum temperature being 28 ℃, and the pathogen could grow at pH 4-10. Fungicide sensitivity tests revealed that all five tested fungicides inhibited the mycelial growth of the pathogen. Among them, 50% carbendazim and 75% trifloxystrobin·tebuconazole exhibited the strongest inhibitory effects, with 100% inhibition rates at all five tested concentrations. The inhibitory effects of 75% chlorothalonil and 25% pyraclostrobin were moderate, and 80% mancozeb exhibited the weakest inhibitory effect.
    Research progress on the outbreak mechanism and integrated control of Nilaparvata lugens
    JIANG Cheng-hong, QIAO Yu, TIAN Yu, LIANG Fa-mao, CHEN Jun-cheng, XIONG Yu-bing, HUANG Han, PAN Long-qi
    2026, 65(5):  114-118.  doi:10.14088/j.cnki.issn0439-8114.2026.05.018
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    The core progress in key research areas of the brown planthopper [Nilaparvata lugens (Stål)] was systematically elaborated in this review. In terms of biological characteristics, the ecological adaptive significance of its wing dimorphism and the regulatory factors of its life history and reproductive traits were clarified, and the patterns of population differentiation and biotype differentiation based on morphology and molecular markers were revealed. Regarding occurrence and migration patterns, the transnational migration routes co-regulated by monsoon circulation, meteorological conditions, and host growth stages, as well as the migration mechanisms involving wing-type regulation, were elucidated. Furthermore, the mechanisms of population dynamics co-regulated by multiple factors such as climatic factors, host resistance, cultivation practices, and natural enemies were resolved. In the field of monitoring and early warning, a standardized system that complemented traditional methods (primarily light trapping, sex pheromone trapping, and systematic field surveys) with intelligent technologies was established. Among these, early warning models based on machine learning achieved prediction accuracies exceeding 85%, significantly enhancing the precision and timeliness of monitoring and early warning. In terms of integrated pest management (IPM), a technical system with agricultural control as the foundation, biological control as the core, and chemical control as an emergency measure was constructed. Additionally, the evolutionary mechanisms underlying the development of >1 000-fold resistance to imidacloprid and other insecticides, along with corresponding resistance management strategies, were clarified. Future research should focus on core areas such as elucidating the molecular mechanisms of migration and insecticide resistance, breeding insect-resistant varieties, and developing intelligent monitoring and early warning systems, thereby providing theoretical foundations and technical support for the precise management of the brown planthopper and ensuring food security in rice-growing regions.
    Horticulture & Local Products
    Phenological characteristics of the flowering period in peony cultivar groups
    WANG Ruo-han, DING Jian-lan, YAO Jun-qiao, MA Hui-ping, MA Zhuo-hua
    2026, 65(5):  119-125.  doi:10.14088/j.cnki.issn0439-8114.2026.05.019
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    Using 85 ornamental peony cultivars as materials, flowering phenology observation and analysis were conducted. The results showed that based on the initial flowering date, the 85 cultivars could be classified into three sequential groups: Early-flowering group (E), medium-flowering group (M), and late-flowering group (L), with a time span of 16 days for the initial flowering date across the groups. Based on flowering duration, using a 4-day difference as the class interval, the cultivars could be categorized into three duration types: Short-flowering (S), medium-flowering (M), and long-flowering (L). The average flowering duration of the 85 cultivars was (8.7±2.5) days. Dynamic function models for the Cultivar Frequency Index (CFI) were constructed for three stages: Initial flowering stage (S1), full flowering stage (S2), and final flowering stage (S3). Through analysis of the cultivar display index (CDI), the optimal viewing period for the peony population in Luoyang was determined to be from April 8 to 14. Correlation analysis between flowering traits and meteorological factors indicated that daily mean temperature was significantly correlated with initial flowering date (r = 0.633), full flowering date (r = 0.725), and final flowering date (r = 0.405).
    A new record of Entoloma ammophilum (Entolomataceae) from Enshi, Hubei, China
    WAN Song-sheng, LIU Wei-yi, DING Zhong-biao, XIANG Wei, SHAN Dan-dan, LI Chun-lin
    2026, 65(5):  126-129.  doi:10.14088/j.cnki.issn0439-8114.2026.05.020
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    During a field survey of macrofungal resources in Enshi City, Hubei Province, one specimen belonging to the genus Entoloma was collected. The basidiome was medium-sized. The pileus was light brown to dirty white, glabrous, dry, non-viscid, infundibuliform, with an even margin and no striations. The context was white, thin, and without a distinctive odor. The lamellae were relatively dense, decurrent, of unequal lengths, and similar in color to the pileus. The stipe was central, cylindrical, white, solid, fleshy, slightly swollen at the base, and covered with white mycelium. Basidiospores were polygonal to irregular, containing oil droplets. Basidia were ellipsoid to subclavate, with 2-4 sterigmata. Cheilocystidia were elliptical to subelongate and smooth. Clamp connections were present. Based on morphological and molecular phylogenetic evidence, the specimen was identified as Entoloma ammophilum, which was confirmed as a new record species for China.
    Genetic diversity analysis of water lily based on transcriptome-derived EST-SSR markers
    HU Yi-hang, SHAN Song-wang, CHEN Long-qing, QIAO Zheng-lin
    2026, 65(5):  130-141.  doi:10.14088/j.cnki.issn0439-8114.2026.05.021
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    The development of expressed sequence tag-simple sequence repeat (EST-SSR) markers based on transcriptome data and subsequent genetic diversity analysis provided reliable tools for germplasm identification, genetic diversity evaluation, and marker-assisted breeding in water lily (Nymphaea L.). In this study, 362 982 unigenes were assembled from the floral organ transcriptome data of Nymphaea ‘King of Siam'. From these, 29 pairs of polymorphic EST-SSR primers were developed, and 9 inter-simple sequence repeat (ISSR) primers were utilized to analyze the genetic diversity of 77 water lily accessions. The results indicated that the EST-SSR markers exhibited a high level of polymorphism, with an average number of alleles (Na) of 4.793 1 and an average expected heterozygosity (He) of 0.648 4. Cluster analysis demonstrated that the 77 water lily accessions could be clearly classified into two major groups: hardy and tropical, revealing significant genetic differentiation between them. The analytical results derived from the ISSR markers were highly consistent with those from the EST-SSRs; however, the EST-SSR markers demonstrated superior advantages in terms of polymorphism detection efficiency and resolution. Furthermore, BLAST alignment revealed that 20 SSR loci were significantly associated with functional genes involved in flowering regulation, stress response, and heavy metal accumulation. In conclusion, the 77 water lily accessions exhibited rich genetic diversity. Both EST-SSR and ISSR markers effectively identified the genetic differentiation between the hardy and tropical groups, highlighting the technical superiority of EST-SSR markers as a robust tool for genetic diversity research in water lilies.
    Screening and evaluation of elite hybrid strains from single-spore crosses in Pholiota nameko
    LIU Wen-ying, HE Yan, WANG Jun-shen, JI Meng, LIU Bo, HE Xiao-long
    2026, 65(5):  142-148.  doi:10.14088/j.cnki.issn0439-8114.2026.05.022
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    To screen out Pholiota nameko hybrid strains with superior agronomic traits, six parental strains and eighteen progeny strains derived from monospore hybridization were selected as research materials. A multi-dimensional evaluation system was established to comprehensively assess mycelial vegetative growth, reproductive growth, and key agronomic traits. Specifically, the mycelial growth rate at the mother culture, stock culture, and spawn culture stages, fruiting cycle, green mold resistance, yield, and agronomic characteristics of fruiting bodies were determined. The results indicated that strains H10 and H9 displayed remarkable advantages, including rapid mycelial growth, short fruiting cycle, excellent agronomic traits, and significant heterosis. A certain correlation was observed between mycelial growth rate and cultivation performance, while the correlation with final yield was weak. The biological efficiencies of H10 and H9 were 109.7% and 107.8%, respectively, which were significantly higher than those of the parental strains. The successful breeding of the new P. nameko hybrid strains H10 and H9 with excellent traits provided promising candidate varieties for the industrial development of edible fungi with high market application potential.
    Medicinal Plant
    Effect of low-temperature preservation on the extracellular enzyme activities of Morchella esculenta mycelia
    XIE Jia-yi, ZHAO Rui-hua, YANG Jing, WANG Mei-juan
    2026, 65(5):  149-153.  doi:10.14088/j.cnki.issn0439-8114.2026.05.023
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    To determine the optimal preservation period for maintaining strain viability, the effects of preservation at 4 ℃ on the extracellular enzyme activities of Morchella esculenta mycelia were investigated, thereby providing a theoretical basis for the preservation of M. esculenta strains. The cultivar ‘Liumei' was stored at 4 ℃ and 20 ℃ for 30, 60, 90, and 120 days, respectively. After each period, the mycelia were recovered at 20 ℃ for 48 h, and the activities of catalase(CAT), carboxymethyl cellulase(CMCase), laccase(Lac), and protease(Pro) were measured. Results indicated that,after 30 d of preservation at 4 ℃, CAT activity significantly increased by 43.35% compared to the initial level, followed by a gradual decline. In contrast, the activities of CMCase, Lac, and Pro exhibited a continuous downward trend as preservation time extended. Compared with the 20 ℃ control, preservation at 4 ℃ significantly delayed the reduction in CMCase activity(P<0.05), although it provided limited protective effects for Lac and Pro activities. Mycelia preserved at 4 ℃ for up to 90 d successfully restored all four enzyme activities to or above initial levels following the 48 h recovery. However, preservation for 120 d led to a significant and irreversible decline in enzyme activities (P<0.05). Storing M. esculenta strains at 4 ℃ could effectively maintain viability for up to 90 d; beyond this threshold, irreversible physiological deterioration occurred. The rebound of laccase activity during the recovery phase might serve as a potential physiological indicator for evaluating strain vitality. This study investigated the changes and recovery of mycelial enzyme activities of M. esculenta under low-temperature stress, which provided a theoretical basis for the preservation of M. esculenta strains.
    Effects of maturity on the quality of upper tobacco leaves in Panzhihua tobacco-growing area
    YANG Tian-xu, WANG Wen-hui, HUANG Jia-jie, LIAO Yu, WU Zong-zhu, HUANG Chu-fan, ZHANG Jia-rong, HAN Yan-jing, WANG Wei
    2026, 65(5):  154-158.  doi:10.14088/j.cnki.issn0439-8114.2026.05.024
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    To determine the optimal harvest maturity for upper tobacco leaves in Panzhihua tobacco-growing area, a field experiment was conducted using Yunyan 87 as the test material. Four maturity treatments were established: under-ripe (M1), ripe (M2), mature (M3), and over-ripe (M4). The effects of different maturity levels on the routine chemical components, plastid pigments, appearance quality, and sensory quality of flue-cured tobacco leaves were systematically studied. The results showed that with increasing maturity, the contents of total sugar, reducing sugar, and total nitrogen gradually decreased, while the nicotine content increased continuously. The sugar-to-nicotine ratio and nitrogen-to-nicotine ratio decreased significantly, with the M3 treatment showing the best harmony of chemical components. The contents of chlorophyll a, chlorophyll b, and carotenoids all showed a significant decreasing trend. The appearance quality was optimal in the M3 treatment, followed by M2. Sensory quality increased initially and then decreased; the M2 treatment scored highest in the distinctness of flue-cured tobacco's pure-sweet aroma style, aroma quality, and aroma quantity, while the M3 treatment performed better in offensive odor, irritancy, and aftertaste. Based on the analytic hierarchy process and fuzzy comprehensive evaluation, the overall quality ranking of the treatments was M3 > M2 > M4 > M1. Considering the industrial usability of upper tobacco leaves, it was recommended that the harvest standard for upper leaves in the Panzhihua tobacco-growing area should be when the main and lateral veins turned white and bright, the leaf surface appeared yellow with slight green, the leaf tip began to dry up, there were many ripe spots, and the SPAD value was controlled between 21 and 25.
    Evaluation of the effects of different de-enzyming methods on the quality of Polygonum multiflorum Thunb. based on fingerprint and EW-TOPSIS
    REN Jin-song, ZHONG Hai-rong, XIA Qing, LI Bo
    2026, 65(5):  159-166.  doi:10.14088/j.cnki.issn0439-8114.2026.05.025
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    To investigate the effects of different de-enzyming treatments on the quality of Polygonum multiflorum Thunb. and screen the optimal primary processing method for this medicinal herb, fresh Polygonum multiflorum Thunb. samples were subjected to different de-enzyming processes and a non-de-enzyming control treatment. Phenotypic characteristics of processed samples were collected via direct observation and colorimeter measurement. High performance liquid chromatography (HPLC) was adopted to establish the fingerprint of Polygonum multiflorum Thunb. and determine the contents of four components: 2,3,5,4′-tetrahydroxystilbene-2-O-â-D-glucoside, emodin-8-O-β-D-glucoside, physcion-8-O-β-D-glucoside and emodin. Multivariate statistical methods including principal component analysis (PCA), cluster analysis (CA) and entropy weight-technique for order preference by similarity to an ideal solution (EW-TOPSIS) were used for sample classification and comprehensive quality evaluation.The results showed that except for the high-temperature de-enzyming group (HG105), all other de-enzyming treatments deepened the surface color, increased the hardness of Polygonum multiflorum Thunb. slices, and significantly elevated the chroma value of sample powders. The change intensity followed the order of steam de-enzyming (SGsq, YGsq, HGsq) > boiling de-enzyming (SZsq) > microwave de-enzyming (WBsq). Among the 10 batches of Polygonum multiflorum Thunb. samples under different processing treatments, the content of 2,3,5,4′-tetrahydroxystilbene-2-O-β-D-glucoside ranged from 3.793% to 6.907%, emodin-8-O-β-D-glucoside from 0.198% to 0.343%, physcion-8-O-β-D-glucoside from 0.055% to 0.123%, and emodin from 0.007% to 0.192%. The sample treated with 50 ℃ drying de-enzyming (HG50sq) showed the highest contents of 2,3,5,4′-tetrahydroxystilbene-2-O-β-D-glucoside and emodin-8-O-β-D-glucoside. A total of 16 common peaks were matched in the 10 batches of samples, with all similarity values greater than 0.900. Both PCA and CA divided the 10 batches of samples into two identical categories; EW-TOPSIS analysis indicated that WBsq and HG50sq samples possessed the best quality, while high-temperature drying de-enzyming (HG105) showed the poorest quality. The HG50sq treatment was conducive to the overall quality improvement of Polygonum multiflorum Thunb.
    Prediction of potential suitable habitats for Smilax glabra Roxb. based on the MaxEnt model
    XU Cong, DENG Li-li, XIONG Zhong-chen, SHI Yan-cai
    2026, 65(5):  167-171.  doi:10.14088/j.cnki.issn0439-8114.2026.05.026
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    To understand the changes in the potential suitable habitats of Smilax glabra Roxb. under climate change scenarios and to identify the dominant climatic factors influencing its distribution, 1 032 distribution sites of Smilax glabra Roxb. in China were collected. The MaxEnt model and ArcGIS software were used to predict the potential suitable habitats of Smilax glabra Roxb. in China under current and future four climate scenarios (SSP126, SSP245, SSP370, SSP585). The results showed that the MaxEnt model exhibited high predictive accuracy (AUC = 0.905). The main environmental factors affecting the distribution of Smilax glabra Roxb. were precipitation of the driest month, annual precipitation, precipitation of the driest quarter, minimum temperature of the coldest month, and temperature seasonality. Under the current climate scenario, Smilax glabra Roxb. was mainly distributed in Central China, East China, South China, Southwest China, and Western China, with a total suitable habitat area of approximately 3.007 × 106 km2. Under future climate scenarios, the total suitable habitat area for Smilax glabra Roxb. showed an increasing trend. However, the area of highly suitable habitat decreased slightly or remained relatively stable, while the area of moderately and lowly suitable habitats increased significantly.
    Agricultural Engineering
    Construction and application of tobacco quality similarity algorithm based on near-infrared spectroscopy
    WANG Da-bin, ZHOU Xian-sheng, LIU Zhi-guang, PENG Fu-yu, YU Wei-song, QIU Jun
    2026, 65(5):  172-178.  doi:10.14088/j.cnki.issn0439-8114.2026.05.027
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    To achieve the digital and quantitative evaluation of tobacco quality similarity, a similarity measurement algorithm based on near-infrared(NIR) spectroscopy was constructed. Based on the NIR spectral and sensory evaluation data of single-grade tobacco vertical formulation samples from 2022 and 2023, dimensionality reduction was conducted using principal component analysis (PCA). Subsequently, the cosine distance and Euclidean distance were effectively coupled by introducing a kernel function and the L2 norm to calculate and construct the similarity metric matrices and sensory score difference matrices among the samples, followed by a correlation analysis between the two. The results demonstrated that the similarity metric values of 10 and 9 samples in the two respective years exhibited a significant positive correlation (P<0.05) with their sensory score differences, accounting for 66.7% and 60.0% of the total samples in each year, respectively. This indicated that the metric value derived from the model maintained a good consistency with expert sensory evaluations; namely, a larger algorithmic metric value corresponded to a greater sensory difference and a lower similarity between samples. This study provided an effective novel technical approach and quantitative tool for tobacco raw material substitution, auxiliary design of tobacco blends, and stability evaluation of cigarette product quality.
    Multimodal recognition of tobacco curing states by fusing Swin Transformer and LSTM
    LUO Zheng-shan, WANG Yue-qiu, GAO Yi-qiong
    2026, 65(5):  179-186.  doi:10.14088/j.cnki.issn0439-8114.2026.05.028
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    Accurate identification of tobacco curing states is crucial for enhancing tobacco quality and curing efficiency. To address the limitations of existing methods in global image feature extraction, temporal dependency modeling, and multimodal fusion, a recognition model that integrated Swin Transformer with Long Short-Term Memory (LSTM) networks was proposed and a gated cross-modal attention mechanism was introduced. The model leveraged Swin Transformer to capture both local and global visual features from tobacco leaf images, and employed LSTM to model sequential sensor data, such as dry- and wet-bulb temperatures and moisture content, to extract their long-term dependencies. Furthermore, a gated cross-modal attention mechanism was utilized to dynamically and adaptively fuse visual features from images and physical features from sensors, significantly improving the accuracy and robustness of state identification. The results demonstrated that the proposed model achieved a state identification accuracy of 94.52% on the test set, outperforming various baseline models; ablation experiments further verified the effectiveness of each module. In addition, the evolution patterns of stage probabilities output by the model were applied to the automatic prediction of the key process "turning point", yielding a mean absolute error of 0.47 h. This provided reliable technical support for intelligent control and process decision-making in tobacco curing.
    Weed detection algorithm for farmland based on an improved RT-DETR
    YIN Ye-rong, KUANG Ying-chun, FANG Shuai, JIN Wei, ZHOU Hao-yu
    2026, 65(5):  187-195.  doi:10.14088/j.cnki.issn0439-8114.2026.05.029
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    With the advancement of intelligent agriculture and precision pesticide application technologies, the accurate detection of farmland weeds is of great significance for increasing crop yields and reducing pesticide usage. However, existing object detection algorithms still faced considerable challenges in complex farmland backgrounds and the detection of small-scale weed targets. To address these issues, this study proposed FAS-DETR, a farmland weed detection algorithm based on an improved RT-DETR. This method integrated the FasterBlock-SCSA hybrid residual module, the AIFI-AgentAttention agent attention mechanism, and the SSFF multi-scale feature fusion module, optimizing the model architecture in terms of feature extraction, global context modeling, and multi-scale information fusion. Specifically, FasterBlock-SCSA enhanced the model's ability to represent fine-grained textures and key regions, AIFI-AgentAttention leveraged agent tokens to improve global feature aggregation, and the SSFF module further improved the detection performance for weed targets at different scales. Experimental results demonstrated that FAS-DETR outperformed both mainstream YOLO series models and the RT-DETR baseline model in metrics including precision, recall, and mAP50. Specifically, its mAP50 reached 76.4%, representing a 3.1 percentage point improvement over RT-DETR baseline model. These results validated the method's effectiveness for farmland weed detection while maintaining reasonable computational and parameter requirements.
    Research on the whole life cycle target detection of pitaya in natural environment based on improved YOLOv5s
    ZOU Wei, LI Li-jie, YUE Yan-bin, HAN Wei, WANG Hu, ZHAO Ze-ying
    2026, 65(5):  196-204.  doi:10.14088/j.cnki.issn0439-8114.2026.05.030
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    To address the challenges of traditional orchard management that heavily relied on manual labor and the difficulties in rapidly identifying pitaya fruits at different growth stages across large-scale orchards, this study categorized pitaya growth stages into seven distinct phases based on its developmental characteristics. Firstly, the dataset was augmented using a Generative Adversarial Network (WGAN-GP) with conditional discrimination mechanisms to enhance rare sample representation and improve dataset balance. Secondly, building upon the YOLOv5s object detection framework, the core architecture was replaced with the lightweight MobileViT network to maintain detection accuracy while significantly accelerating model inference speed. The experimental results demonstrated that the enhanced model with the optimized dataset and network architecture achieved a precision of 85.7% and a recall rate of 77.6% on the test set, which increased by 2.5 and 0.9 percentage points compared to the original model, respectively. The average detection time of a single image was 18.64 ms, which was 3.87 ms shorter than the YOLOv5s model, and the improved detection network achieved a mAP50 value of 82.5%, a mAP50-95 value of 62.4%, while the model size was 5.87×106. This system could achieve real-time detection of pitaya in natural environments and provide a feasible visual inspection solution for subsequent monitoring of pitaya growth status and automated operations.
    Biological Engineering
    Gene cloning and bioinformatics analysis of chalcone synthase gene from Daphniphyllum calycinum
    CUI Wen-hao, ZHANG Yu-xiu, WU Hai-ying, ZHANG Jun-na, YE Yu-ling, ZENG Yan, FENG Meng-lian, TIAN Jian-ping
    2026, 65(5):  205-213.  doi:10.14088/j.cnki.issn0439-8114.2026.05.031
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    To reveal the characteristics and potential functions of the chalcone synthase gene (DcCHS) from Daphniphyllum calycinum, highly expressed candidate genes were screened based on the transcriptome data of Daphniphyllum calycinum, and after total RNA extraction and cDNA synthesis, the target genes were cloned using PCR technology. Bioinformatics methods were used to analyze the physicochemical properties, domains, subcellular localization and spatial structure of the genes, multiple sequence alignment and phylogenetic tree construction were performed, and the binding activity of CHS proteins with small molecules was verified by molecular docking. The results showed that the full lengths of the open reading frames (ORFs) of DcCHS1,DcCHS2 and DcCHS3 were 1 188, 1 188 and 1 023 bp, respectively, with G+C contents all greater than 51%, encoding 395, 395 and 340 amino acids, respectively.The molecular weights of three DcCHS proteins (DcCHS1, DcCHS2 and DcCHS3) were 43.08, 43.03 and 37.03 ku, respectively.All three DcCHS proteins were non-secretory proteins, among which DcCHS1 was a weakly acidic unstable protein, while DcCHS2 and DcCHS3 were weakly acidic stable proteins. Subcellular localization prediction showed that they were mainly located in the cytoplasm. The aliphatic indices of three DcCHS proteins were all greater than 90, and they all had no signal peptide or transmembrane domain. All three DcCHS proteins contained four conserved residues (Cys, Phe, His, Asn) of the CHS catalytic center and the CHS family characteristic sequence “WGVLFGFGPGLT”. Phylogenetic analysis showed that the CHS genes of Daphniphyllum calycinum were closely related to the CHS genes of citrus, Arabidopsis and other species. Molecular docking results showed that the DcCHS proteins had good binding ability with flavonoid small molecules such as naringenin and phloretin. The three DcCHS genes might play important roles in anthocyanin accumulation and abiotic stress response.
    Genome size estimation and characterization of Sinosenecio oldhamianus
    ZHANG Peng, ZHANG Ze-zhi, YOU Lei, ZHENG Lan-lan, ZHANG Yong-hong
    2026, 65(5):  214-220.  doi:10.14088/j.cnki.issn0439-8114.2026.05.032
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    To determine the genome size and sequence composition characteristics of the medicinal plant Sinosenecio oldhamianus and to promote the development and utilization of its genome genetic resources, flow cytometry was used with Nicotiana benthamiana as a reference to estimate the genome size of Sinosenecio oldhamianus. Based on the Illumina NovaSeq 6000 platform, genome survey sequencing was conducted, K-mer analysis was performed on the sequencing data to evaluate genome heterozygosity, GC content, and repetitive sequence proportion, and sequence similarity comparison was carried out through the NCBI NT database. Flow cytometry measurement results showed that the genome size of Sinosenecio oldhamianus was approximately 1 620 Mb. Based on Illumina platform sequencing, a total of 122.10 Gb of high-quality data was obtained, with an average sequencing depth of 65×. Statistical analysis of the 19-mer frequency distribution of the Sinosenecio oldhamianus genome showed that its genome size was approximately 1 725 Mb, GC content was 38.66%, and the overall distribution was uniform without obvious bias, indicating that the sequencing data quality was reliable and there was no significant exogenous contamination. The heterozygosity of the Sinosenecio oldhamianus genome was as high as 12.10%, and the repetitive sequence proportion was 49.20%, indicating that it belonged to a typical complex genome type with high heterozygosity and high repetitive sequence content. The NCBI NT database comparison results showed that the sequences of Sinosenecio oldhamianus had the highest matching rate with the reference sequence of Pulicaria dysenterica, followed by Gynoxys mandonii, Sinosenecio oldhamianus, and Morina longifolia.
    Identification and expression pattern analysis of the calmodulin-like protein gene family in rice
    YANG Lan-tian, YU Zhen-yuan, XIE Yi
    2026, 65(5):  221-229.  doi:10.14088/j.cnki.issn0439-8114.2026.05.033
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    To systematically identify the members of the rice calmodulin-like protein (OsCML) gene family and explore their potential functions in growth, development, and abiotic stress responses, bioinformatics methods were used to identify a total of 44 OsCML genes at the whole-genome level, and their physicochemical properties, phylogeny, gene structures, duplication events, syntenic relationships, cis-acting elements, and expression patterns were comprehensively analyzed. The results showed that the 44 OsCML genes were unevenly distributed on 12 chromosomes, and most OsCML proteins were localized in the cytoplasm and cell membrane.Phylogenetic analysis divided the OsCML proteins into eight subfamilies. Gene duplication analysis showed that segmental duplication was the main driving force for the expansion of this family. Interspecific synteny analysis revealed that CML genes had highly conserved syntenic relationships between monocot and dicot plants. Cis-acting element analysis indicated that the promoter regions of OsCML genes were mainly enriched with four types of elements related to light response, stress response, hormone response, and growth and development. The OsCML gene family showed specific and widespread expression differences in seven tissues, and exhibited diverse responses under four abiotic stresses, suggesting that they played key roles in the stress adaptation of rice.
    Economy & Management
    Coordination of quality dependent agricultural product supply chain with fairness concern from the farmer side
    ZHENG Yi-ming, SHI Guo-qing, XU Hang, MEI Xiao-ya
    2026, 65(5):  230-239.  doi:10.14088/j.cnki.issn0439-8114.2026.05.034
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    For the two-stage agricultural product supply chain coordination problem of farmers and retailers, the impact of product quality and market retail price on consumer demand, and the different fairness concerns of farmers in a weak position were considered. Based on game theory and Nash equilibrium, equilibrium strategies of supply chain participants under three scenarios: centralized decision-making, conventional decentralized decision-making, and decentralized decision-making with farmers' fairness concerns, were analyzed. The impacts of farmers' fairness concerns, product quality, and price on the profits of supply chain members were further discussed, and numerical simulations were used to validate the findings. The results showed that both the overall optimal revenue and optimal quality level of the supply chain under centralized decision-making were higher than those under decentralized decision-making. However, whether decentralized decision-making considered fairness did not affect the change in the total supply chain revenue. Farmers' income would decrease after considering the fairness concern, and the proportion of farmers' income and retailers' income would change with the degree of fairness concern. If the degree of fairness concern of farmers increased, farmers' income would increase, while retailers' income would decrease.
    The impact of digital economy on green agriculture development
    LU Xiao-lan, LYU Shao-wei
    2026, 65(5):  240-248.  doi:10.14088/j.cnki.issn0439-8114.2026.05.035
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    To explore the impact of digital economy on the development of green agriculture, based on the provincial panel data from 2014 to 2023, the evaluation index systems for the digital economy and green agriculture were established, their development levels were measured using the entropy method, and the impact mechanism and spatial effects of the digital economy on the development of green agriculture were analyzed. The results showed that the promoting effect of the digital economy on green agriculture showed a nonlinear characteristic of initial strength followed by weakening, with the mediating effects of technological innovation and inclusive finance being 27.2% and 10.2%, respectively. The digital economy and green agriculture development both exhibited spatial agglomeration characteristics, and the digital economy had a spatial spillover effect on the development of green agriculture in neighboring areas. It was proposed to promote the high-quality development of green agriculture by implementing regional differentiated development strategies, strengthening technological innovation and inclusive financial support, improving the dynamic policy-making system, and establishing a co-construction and sharing mechanism.
    Rural Revitalization
    Spatial distribution characteristics and influencing factors of traditional villages in Hebei Province under the background of rural revitalization
    GUAN Qing-yang, WANG Shuo, JIANG Man
    2026, 65(5):  249-256.  doi:10.14088/j.cnki.issn0439-8114.2026.05.036
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    To systematically analyze the spatial distribution patterns of traditional villages in Hebei Province under the background of rural revitalization and explore the core driving mechanisms of their spatial differentiation, 276 traditional villages in Hebei Province were taken as the research objects, three time points of 2012, 2014, and 2023 were selected, methods such as nearest neighbor index, kernel density analysis, hot and cold spot analysis, and geographical detector were adopted to explore the spatial distribution characteristics and influencing factors of traditional villages in Hebei Province. The results showed that under the background of rural revitalization, the spatial structure of traditional villages in Hebei Province had gradually evolved from initial regional agglomeration to a networked pattern of core strengthening and edge extension. The nearest neighbor analysis indicated that the nearest neighbor index R values at the three time points were 0.43, 0.54, and 0.41, respectively, showing a significant agglomeration state. The kernel density was distributed in a banded multi-core pattern along the Taihang Mountains and the Yanshan Mountains. The hot and cold spots showed a Matthew effect of hot spot intensification and cold spot solidification, and the problem of unbalanced regional development had intensified. The geographical detector analysis revealed that GDP and DEM elevation were the dominant influencing factors, and the interaction between GDP and factors such as night-time light and population was significant, reflecting a spatial differentiation mechanism driven by the synergy of economic vitality and natural conditions.