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Table of Content

    25 August 2026, Volume 65 Issue 8
    Special Topic:Research on Rice Quality Characteristics
    Cultivar-specific mitigation effect of silicon-selenium foliar spraying treatment on arsenic accumulation in rice
    ZHANG Yu-shan, SHEN Zhi-hua, TAN Lin, YANG Jun-wen, WENG Zi-ying, CAO Sen-yang, MAI Yu-chan, CHEN Ke-liang, ZHOU Jia-cheng
    2026, 65(8):  1-7.  doi:10.14088/j.cnki.issn0439-8114.2026.08.001
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    To provide theoretical support for mitigating arsenic contamination in rice (Oryza sativa L.) grains, four rice cultivars were used as experimental materials, and three foliar application treatments of silicon (Si) and selenium (Se) were set up, including silicon application alone, selenium application alone, and combined application of silicon and selenium. Arsenic concentrations in rice roots, stems, leaves and grains were determined and comparatively analyzed to elucidate the mechanisms underlying arsenic immobilization in rice grains. The results showed that all treatments significantly reduced arsenic concentrations in rice roots. Selenium foliar spraying decreased grain arsenic concentrations in all cultivars, with a reduction range of 17.1%-35.3%. The effects of silicon spraying varied with rice cultivars: silicon application elevated grain arsenic concentrations in Meixiangzhan 2 and Wushansimiao, whereas it reduced grain arsenic concentrations in Nanjingxiangzhan and 19 Xiang. Grain arsenic concentration was governed by the proportion of arsenic retained in roots and the ratio of grain arsenic concentration to leaf arsenic concentration. Meixiangzhan 2 and 19 Xiang were classified as low arsenic-accumulating cultivars, characterized by strong arsenic retention in roots and low arsenic translocation from leaves to grains, which restrained arsenic transportation to grains. Wushansimiao and Nanjingxiangzhan were high arsenic-accumulating cultivars, featured by weak arsenic retention in roots and intensive arsenic translocation from leaves to grains, which facilitated arsenic allocation to grains. Correlation analysis indicated that arsenic translocation in Meixiangzhan 2 primarily followed the pathway of root-stem-leaf; by contrast, arsenic absorbed by roots of Nanjingxiangzhan was translocated indiscriminately and efficiently to all aboveground organs (stems and leaves). Collectively, grain arsenic accumulation was controlled by dual mechanisms consisting of arsenic reduction at the source and arsenic partitioning among plant organs. Foliar selenium application reduced arsenic uptake at the source and blocked arsenic translocation into grains. Foliar silicon application inhibited arsenic absorption by roots but accelerated arsenic migration to aboveground tissues. Arsenic retention in aboveground organs differed across cultivars and foliar treatments.
    Response of rice quality of Xiangzaoxian 45 to meteorological factors
    YANG Wan-rong, ZHENG Fu-wei, XIE Na, SHUAI Zi-ang, SHUAI Xi-qiang
    2026, 65(8):  8-13.  doi:10.14088/j.cnki.issn0439-8114.2026.08.002
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    The correlations between rice quality obtained from staggered sowing field experiments of Xiangzaoxian 45 in 2024 and 2023 and meteorological conditions of three growth stages (heading to milky ripening, milky ripening to maturity, heading to maturity) were analyzed. Prediction models for rice quality indicators including brown rice rate, milled rice rate, chalky grain rate, chalkiness degree and amylose content were established via quadratic polynomial and linear fitting methods based on datasets of the 1st-4th sowing dates(March 10, March 25, April 5 and April 15) in 2023 as well as the 1st, 3rd and 4th sowing dates in 2024. Data of the 2nd sowing date in 2024 were adopted for model validation, through which prediction error and accuracy were analyzed. The results indicated that prediction errors of all constructed rice quality prediction models were controlled within 5%. Key meteorological factors affecting each rice quality index were identified. Respectively, daily mean precipitation from heading to maturity, diurnal temperature range from heading to milky ripening, daily mean temperature and daily mean maximum temperature from heading to milky ripening, daily mean precipitation together with diurnal temperature range from heading to maturity, and diurnal temperature range from milky ripening to maturity were confirmed as the dominant meteorological factors for brown rice rate, milled rice rate, chalky grain rate, chalkiness degree and amylose content.
    Effects of combined reduced application of nitrogen and phosphorus fertilizers on rice yield and quality in Jining City
    XIN Cai-yun, LI Xiang-liang, MA Hui, YANG Jun, XIN Shu-rong
    2026, 65(8):  14-18.  doi:10.14088/j.cnki.issn0439-8114.2026.08.003
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    To investigate the interactive effects of reduced nitrogen (N) and phosphorus (P) fertilization on rice yield and quality in the rice-wheat rotation region of Jining City, Shandong Province, the conventional japonica rice cultivar Shengdao 18 was used as the test material, and a two-factor randomized block design was adopted. Four nitrogen levels were set (N0: 0 kg/hm2, N1: 150 kg/hm2, N2: 210 kg/hm2, N3: 270 kg/hm2, all based on pure nitrogen), and three phosphorus levels were established (P0: 0 kg/hm2, P1: 70 kg/hm2, P2: 140 kg/hm2, all calculated as P2O5). A total of 12 fertilization treatments were arranged to investigate the interactive effects of reduced nitrogen and phosphorus application on rice yield and quality. The results showed that moderate reduction of nitrogen and phosphorus fertilizers could improve rice yield. Compared with the conventional fertilization treatment N3P2, the yield of N3P1 (50% phosphorus reduction) increased significantly. The yield of N2P1 (22% nitrogen reduction and 50% phosphorus reduction) and N2P2 (22% nitrogen reduction) showed no significant difference from the maximum yield. Treatments N3P1, N2P1 and N2P2 presented higher milled rice rate, but lower amylose content. Overall, compared with conventional fertilization N3P2, treatments N3P1, N2P1 and N2P2 with reduced fertilizer input achieved significantly higher grain yield and improved grain quality, which could be recommended as reasonable reduced fertilization regimes for rice production in Jining City.
    Research progress on low-glycemic index functional rice
    DENG Qiu-yu, TU Jun-ming, CHEN Jie, ZHANG Sheng, LI Xing-hua, CAI Xing-xing, ZHANG Wen-chao, WANG Huan, CAO Zhi-gang
    2026, 65(8):  19-23.  doi:10.14088/j.cnki.issn0439-8114.2026.08.004
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    Low-glycemic index (low-GI) functional rice refers to rice varieties with a glycemic index (GI) of no more than 55. Its core characteristic lies in regulating the starch anabolism pathway by increasing the content of resistant starch (RS). This slows down the glucose release rate during rice digestion, thereby resulting in a steady postprandial blood glucose response. The research advances in genetic mechanisms and breeding of low-GI functional rice were reviewed, and the industrialization challenges including technical bottlenecks in variety breeding, inadequate market regulations and difficulties in cultivation promotion were analyzed. Corresponding countermeasures were further proposed, such as strengthening multi-omics combined analysis, establishing unified national standards and certification systems for low-GI rice, and optimizing cultivation patterns. It was expected to provide references for future research on low-GI functional rice.
    Breeding & Cultivation
    Effects of low-temperature freezing injury on photosynthetic characteristics and yield of rapeseed
    LI Fei, YANG Zai-qiang, ZHAO Meng-fan, ZHONG Cun, LI Fan
    2026, 65(8):  24-31.  doi:10.14088/j.cnki.issn0439-8114.2026.08.005
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    To clarify the effects of low-temperature stress on photosynthetic characteristics and yield of rapeseed(Brassica napus L.), a temperature-controlled freezing experiment was carried out using Qingza 15 at Guide Agrometeorological Experimental Station of Hainan Tibetan Autonomous Prefecture, Qinghai Province from April to September 2025. Six temperature gradients of -4 ℃, -5 ℃, -6 ℃, -7 ℃, -8 ℃ and -10 ℃ were set, with two duration treatments of 1 h and 2 h. Potted rapeseed grown under natural field conditions was taken as the control (CK). Chlorophyll content, photosynthetic parameters and yield indices were determined. The results showed that freezing injury inhibited chlorophyll accumulation in rapeseed, and the stress intensified with decreasing temperature and prolonged duration. Freezing treatments reduced net photosynthetic rate, stomatal conductance and transpiration rate of leaves to varying degrees, and the stress aggravated as temperature declined and treatment time extended. Net photosynthetic rate was relatively sensitive, which decreased significantly under the treatment of -4 ℃ for 2 h compared with CK. Transpiration rate and stomatal conductance declined significantly relative to CK when temperature was lower than or equal to -5 ℃, while intercellular CO2 concentration decreased firstly and then increased. Freezing injury significantly reduced rapeseed grain yield by 23.38%-86.67% (P<0.01). Yield was reduced by more than 50% compared with CK under treatments of temperatures ≤-6 ℃ for 1 h and temperatures ≤-5 ℃ for 2 h, representing severe yield losses.
    Effects of exogenous IAA and PCIB on stem elongation of rapeseed seedlings
    XU Miao, FANG Yong, LI Bo, LI Ze-yu, YAN Han-wen, ZHA Zhong-ping, ZHANG Shuo, GUO Ying, JIAO Chun-hai, XU Yan-hao, YANG Xiao-long
    2026, 65(8):  32-36.  doi:10.14088/j.cnki.issn0439-8114.2026.08.006
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    To clarify the effects of exogenous indole-3-acetic acid (IAA) and its competitive inhibitor p-chlorophenoxyisobutyric acid (PCIB) on stem elongation of rapeseed (Brassica napus L.) seedlings, and provide a theoretical basis for strong seedling cultivation and plant architecture regulation of rapeseed, 5-day-old seedlings of rapeseed cultivar Dadi 199 were used as plant materials. Isolated stem segments, intact seedling stems and de-rooted seedling stems were treated with different concentrations of IAA and PCIB for 48 h, and stem elongation was measured to compare concentration response differences. The results showed that IAA exhibited a promoting effect at low concentrations and an inhibitory effect at high concentrations on elongation of isolated stem segments. Stem elongation was increased by 70.02% under 0.50 μmol/L IAA treatment, whereas it was decreased by 41.44% under 10.00 μmol/L IAA treatment. Exogenous IAA at all concentrations inhibited elongation of intact seedling stems and de-rooted seedling stems. PCIB showed weak promotive effects on isolated stem segments, but significantly stimulated elongation of intact seedling stems and de-rooted seedling stems at appropriate concentrations, with optimal effects observed at 20 μmol/L and 10 μmol/L, respectively. It was concluded that auxin signaling-dependent stem elongation of rapeseed seedlings varied with material types. Isolated stem segments were likely deficient in endogenous auxin, and appropriate IAA could accelerate their elongation. Intact seedling stems and de-rooted seedling stems were probably under supraoptimal auxin levels or hypersensitive to auxin, and moderate PCIB could attenuate excessive auxin signaling and thereby facilitate stem elongation.
    Resource & Environment
    Spatiotemporal evolution characteristics and influencing factor analysis of soil salinization in the oasis area of northern Xinjiang
    BI Yan-an, SHI Ming-jie, LIU Wen-hui, WU Hong-qi, LI Yun-hao, ZHAO Jia-hao, ZHONG Rui-hong
    2026, 65(8):  37-49.  doi:10.14088/j.cnki.issn0439-8114.2026.08.007
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    To clarify the spatiotemporal evolution characteristics and driving mechanisms of soil salinization in the oasis area of northern Xinjiang from 2010 to 2023, this study constructed four soil salt content (SSC) inversion models, namely random forest (RF), extreme gradient boosting (XGBoost), support vector machine (SVM), and partial least squares regression (PLS), based on measured soil salt data from 2010 and 2023, Landsat remote sensing images, and multi-source environmental factor data. By combining the salinization grade transfer matrix with random forest feature importance analysis, the spatiotemporal evolution pattern of soil salinization and the main influencing factors were revealed. The results indicated that the RF model constructed with Red, SI5, kNDVI, SDI, SAIO, and WI as input variables had the best comprehensive fitting performance. From 2010 to 2023, soil salinization in the oasis area of northern Xinjiang showed an improving trend, specifically manifested as the expansion of non-salinized areas, the reduction of extremely severe salinized areas, and the transfer from high-grade to low-grade salinization; however, local oasis edges, downstream ends of irrigation districts, and areas with poor drainage still faced the risk of aggravated salinization. The dominant influencing factors shifted from topographic background constraints in 2010 to the combined effects of climatic hydrothermal conditions and soil properties in 2023. Soil temperature remained an important individual factor in both periods, albeit with a slight decline in its relative importance contribution; in contrast, the relative importance contribution of soil factors overall showed a slight increase. Soil salinization in the oasis area of northern Xinjiang improved overall, but local marginal areas still faced the risk of salt re-accumulation; the mitigation process was mainly driven by climate-induced changes in soil moisture and temperature, together with human agricultural activities such as irrigation and drainage regulation and land consolidation.
    Effects of rotation and intercropping of Chinese herbal medicines on soil fertility in western Hubei
    DUAN Li-wen, ZHOU Wu-xian, DENG Li-ping, ZHOU Jian-xiong, YANG Xiu-xia, ZHAO Shu-jun, XU Da-bing
    2026, 65(8):  50-57.  doi:10.14088/j.cnki.issn0439-8114.2026.08.008
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    To investigate the effects of different planting patterns on soil chemical properties and comprehensive fertility in the main production area of Chinese medicinal materials in western Hubei, the study was conducted in the Chinese medicinal material planting area of Enshi Tujia and Miao Autonomous Prefecture, Hubei Province, with unplanted soil as the control (CK), and the effects of Chinese medicinal material-maize/rapeseed rotation (CC) and Chinese medicinal material intercropping (CR) on soil stoichiometric characteristics and integrated soil fertility index were systematically compared. Thirteen indicators including soil pH, organic matter and mineral nutrient contents were measured, and principal component analysis combined with fuzzy mathematics membership function method was used to comprehensively evaluate soil fertility. The results showed that compared with CK, the CC and CR treatments decreased soil pH, total potassium content, alkali-hydrolyzable nitrogen content, exchangeable calcium content and exchangeable magnesium content, while significantly increased available phosphorus and total phosphorus contents. Principal component analysis indicated that pH, exchangeable calcium content, exchangeable magnesium content, available zinc content, CEC, total potassium content, organic matter content and alkali-hydrolyzable nitrogen content were key factors affecting soil fertility. The carbon to nitrogen ratio of the CC treatment was significantly higher than that of the CK treatment.Compared with the CK treatment, the carbon to phosphorus ratio and nitrogen to phosphorus ratio of the CC and CR treatments were significantly decreased, while the phosphorus to potassium ratio was significantly increased. There were no significant differences in carbon to potassium ratio and nitrogen to potassium ratio among the treatments. The integrated soil fertility index (SFI) of the CC and CR treatments decreased by 18.35% and 20.66% respectively, compared with CK, and the soil fertility grade dropped from a relatively high level to a medium level. Compared with Chinese medicinal material intercropping, the Chinese medicinal material-maize/rapeseed rotation pattern was more conducive to slowing soil acidification and maintaining higher soil nutrient contents and fertility levels.
    Mechanical properties and influencing factors of root-soil composites of typical herbaceous plants in a rocky desertification area of the central Yunnan Plateau
    CHEN Qiu-fan, LI Jiang-tao, SONG Guo-cang, LI Guo-dong
    2026, 65(8):  58-64.  doi:10.14088/j.cnki.issn0439-8114.2026.08.009
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    In order to elucidate the soil reinforcement mechanisms of herbaceous plant roots in the rocky desertification area of the central Yunnan Plateau and to provide a theoretical basis for the scientific configuration of ecological restoration and vegetation slope protection engineering in such regions, this study took the typical herbaceous plants Chromolaena odorata (L.) R. M. King & H. Rob., Nephrolepis cordifolia (L.) C. Presl, and Blumea balsamifera (L.) DC. in this area as research objects, and systematically investigated the effects of root species, root number, and root distribution pattern on the mechanical properties of root-soil composites through single-root tensile tests and direct shear tests combined with an L9(33) orthogonal design. The results showed that the proportions of roots with a root diameter of 0.5-1.5 mm for Blumea balsamifera, Chromolaena odorata, and Nephrolepis cordifolia were 47.21%, 29.27%, and 65.74%, respectively. The root tensile strength ranked in the order of Nephrolepis cordifolia (28.10 MPa) >Chromolaena odorata (22.92 MPa) >Blumea balsamifera (18.81 MPa). The relationship between root diameter and root tensile strength followed a decreasing power function, with R2 values ranging from 0.459 3 to 0.653 0, whereas the relationship between root diameter and maximum single-root tensile force followed an increasing power function, with R2 values ranging from 0.877 7 to 0.962 2. Compared with bare soil, roots enhanced the shear strength of the root-soil composite, and this reinforcing effect was mainly manifested as an increase in cohesion, whereas changes in the internal friction angle contributed only marginally. Analysis of variance indicated that the cohesion of the root-soil composite was significantly correlated with both root number and root distribution pattern, and the internal friction angle was significantly correlated with root number, whereas root species had no significant effect on either cohesion or the internal friction angle. The optimal combination for the root-soil composite was A2B2C3, i.e., using Nephrolepis cordifolia with six roots arranged in a vertical (90°)-inclined (45°) cross-distribution pattern, and the study confirmed that optimizing root number and root distribution pattern was key to improving the shear performance of the root-soil composite.
    Genesis characteristics of irrigated cultivated soils in Changji Hui Autonomous Prefecture and taxonomic positions in Chinese Soil Taxonomy
    WANG Shuai-shuai, WU Hong-qi, FAN Yan-min, GUO Jia, BI Yan-an, SHANG Shu-hao
    2026, 65(8):  65-73.  doi:10.14088/j.cnki.issn0439-8114.2026.08.010
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    To provide a solid pedotaxonomic basis for the precise planning of regional cultivated land resources, improvement of cultivated land quality and sustainable agricultural development, fifteen representative profiles of irrigated cultivated soils were selected from Changji Hui Autonomous Prefecture. Diagnostic horizons and diagnostic characteristics were identified through field observation of profile morphological features and laboratory analysis of soil physicochemical properties. Taxonomic classification was conducted in accordance with the Keys to Chinese Soil Taxonomy (3rd Edition). Basic taxonomic units were established following the criteria for soil family and soil series classification, and a comparative analysis was further carried out between the results of genetic soil classification and Chinese Soil Taxonomy. The results showed that there was obvious horizon differentiation in all profiles of irrigated cultivated soils in the study area, which were classified into two great groups (irrigated silting soils and irrigated desert soils) under genetic soil classification. Under Chinese Soil Taxonomy, the 15 soil profiles belong to 2 soil orders, 2 suborders, 2 great groups, 3 subgroups, 8 soil families and 15 soil series. The comparison between genesis classification and Chinese Soil Taxonomy at both higher and basic taxonomic levels indicated that there was no one-to-one correspondence between the two classification systems for irrigated cultivated soils in Changji Hui Autonomous Prefecture. Long-term anthropogenic cultivation had formed surface horizons with obvious anthropic maturing features and well-developed subsurface diagnostic horizons in the profiles of irrigated desert soils. However, such soils failed to meet the retrieval criteria for Anthrosols specified in the current Keys to Chinese Soil Taxonomy (3rd Edition), and were consequently classified into the order Cambisols. This classification could not accurately reflect the dominant impacts of anthropogenic cultivation on soil-forming processes and soil properties, leading to inconsistencies between taxonomic results and actual soil development characteristics. Accordingly, it was proposed to establish a new diagnostic surface horizon named irrigated desert epipedon and a new great group irrigated desert orthic anthrosols in the Chinese Soil Taxonomy.
    Effects of combined application of humic acid water-soluble fertilizer at different application rates and microbial inoculants on yield, quality and soil physicochemical properties of scallion
    LI Xiao-yuan, LI Si-yu, WU Xu, YANG Hong-li, LI Xu, WANG Xiang, WANG Xiang-xiang
    2026, 65(8):  74-79.  doi:10.14088/j.cnki.issn0439-8114.2026.08.011
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    Scallions were used as test materials in a randomized block experiment. Treatments included foliar sprays of humic acid water-soluble fertilizer applied at different frequencies, microbial inoculants alone, and the combined application of humic acid water-soluble fertilizer and microbial inoculants, to explore their effects on the growth, yield and quality of scallion. The results showed that plant growth, yield and quality were markedly improved under two applications of humic acid water-soluble fertilizer (HF2) compared with conventional fertilization and one application of humic acid water-soluble fertilizer (HF1), whereas no significant differences were found between HF2 and three applications of humic acid water-soluble fertilizer (HF3). Compared with a single application of humic acid water-soluble fertilizer, combined application of humic acid water-soluble fertilizer and microbial inoculants significantly improved growth traits, yield, quality of scallion and soil nutrient contents. Compared with one application of humic acid water-soluble fertilizer combined with microbial inoculant (BF1), two applications of humic acid water-soluble fertilizer combined with microbial inoculant (BF2) significantly improved plant height, stem diameter, tiller number, leaf number per plant and aboveground biomass of scallion. The yield increased by 3.80 t/hm2, net income rose by 15 093 yuan/hm2, and the input-output ratio increased by 1.21. Crude fibre and vitamin C contents were significantly elevated by 2.33 mg/kg and 14.20 mg/kg, respectively. The contents of alkaline-hydrolyzable nitrogen, available phosphorus and available potassium in soil increased by 6.23%, 5.96% and 2.95%, respectively. No significant differences were observed in all measured indicators between three applications of humic acid water-soluble fertilizer combined with microbial inoculant (BF3) and BF2 treatment. Consequently, the treatment of microbial inoculant plus two applications of humic acid water-soluble fertilizer achieved the optimal effect on scallion.
    Plant Protection
    Effects of different sex ratios and rearing densities on reproduction of Hippodamia variegata
    LIU Hong-ling, LIU Jun-feng, XIE Xin, TANG Xiao-qiang, XU Bing-yan, LI Yang, CHEN He-zhu, XIAO Ke-jun, WEI Lian, WU Xing-long, PU De-qiang
    2026, 65(8):  80-83.  doi:10.14088/j.cnki.issn0439-8114.2026.08.012
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    In order to explore the effects of different sex ratios and rearing densities on fecundity (egg production) and hatching rate of Hippodamia variegata, Acyrthosiphon pisum was used as food in Petri dishes (90 mm diameter). The fecundity and hatching rate of adult Hippodamia variegata reared at different sex ratios (1∶1, 2∶1, 3∶1, 4∶1, 5∶1) were studied, the optimal sex ratio was selected, and the effects of rearing density on its egg production and hatching rate were further investigated. The results showed that different sex ratios and densities had significant effects on fecundity and hatching rate of Hippodamia variegata. When the sex ratio was 1∶1, the per female fecundity of Hippodamia variegata was 623.30 ± 205.66 eggs, which was significantly higher than that at sex ratios of 2∶1, 3∶1, 4∶1, and 5∶1. When the sex ratio was 1∶1, the hatching rate was 80.49% ± 3.31%, which was significantly higher than that at 5∶1. At the sex ratio of 1∶1, regarding rearing density, at a density of 4 individuals (2 females + 2 males), per female fecundity was 432.75 ± 102.59 eggs, which was significantly higher than that at densities of 8 (4 females+4 males), 12 (6 females+6 males), and 16 (8 females+8 males) individuals, and the hatching rate at a density of 4 individuals (2 females+2 males) was 74.88% ± 14.64%, which was significantly higher thanthat at densities of 12 (6 females+6 males) and 16 (8 females+8 males), but was not significantly different from that at a density of 8 (4 females+4 males). Based on the combined results of sex ratio and density on fecundity and hatching rate, it was shown that when the sex ratio was 1∶1 and the density was 4 individuals (2 females + 2 males), it was most suitable for its reproduction.
    Effects of root cutting on alfalfa yield and population dynamics of major pests
    CHANG Tian-shu, CUI Su-qian, HAO Xin-yu, ZHANG Yong-sheng, LI Hui-bin, WANG Li-hong, LIU Ting-hui, LIU Zhong-kuan
    2026, 65(8):  84-89.  doi:10.14088/j.cnki.issn0439-8114.2026.08.013
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    In order to solve the problem of yield and quality decline of aged 3-5-year-old alfalfa(Medicago sativa), and to clarify the effect of root cutting treatment on its yield and insect population dynamics in the field, the alfalfa variety Zhongmu No.4 planted for 5 years was used for root cutting treatment. Two treatments of root cutting (10-15 cm) and non-root cutting were set up to determine the yield of alfalfa (fresh weight and dry weight). The species, occurrence and community structure of insects in the field were investigated, and the relationship between pests and natural enemies was analyzed by principal component analysis and grey correlation analysis. The results showed that the root cutting treatment significantly increased the fresh weight yield of the first crop of alfalfa, which was 46.1% higher than that of the non-root cutting treatment. The plant height and stem number of alfalfa after root cutting were better than those without root cutting. After root cutting, the total number of insects in the alfalfa field increased as a whole. Hemiptera and Thysanoptera were the dominant pest groups, and the number of natural enemy insects also increased. Principal component analysis showed that Adelphocoris fasciaticollis, Helicoverpa armigera and Odontothrips loti were the core factors affecting the insect community. Grey correlation analysis confirmed that natural enemy insects were correlated with Therioaphis trifolii and Odontothrips loti. Root-cutting treatment was an effective measure to improve the yield of the first crop of aged alfalfa, but it was necessary to strengthen the monitoring and control of dominant pests such as thrips and aphids.
    Medicinal Plant
    Identification and analysis of CYP87A subfamily genes in rosemary
    LI Shao-kang, WEI Zi-shen, JIANG Han-tian, JIANG Mei-mei, YANG Qian-wen, WU Song, ZHANG Dang-quan, CHEN Yuan-yuan, LAI Yong
    2026, 65(8):  90-99.  doi:10.14088/j.cnki.issn0439-8114.2026.08.014
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    Using bioinformatics approaches and the assembled genome data of rosemary (Salvia rosmarinus) as the research subject, genome-wide identification and systematic analysis of CYP87A family members were conducted, and their physicochemical properties, phylogenetic relationships, conserved domains, protein structures, and collinearity were analyzed. The results showed that a total of 46 CYP87A gene family members were identified in the rosemary genome, and their physicochemical properties varied considerably, with 45 being hydrophilic and only one (SrCYP87A35) being hydrophobic. Phylogenetic analysis classified these members into three major groups, and they were unevenly distributed across chromosomes, with chromosome 4 harboring the most (7 members) and chromosome 12 the fewest (1 member). Conserved domain analysis identified 10 motifs, most of which were highly conserved, whereas Motif 10 occurred only in 12 out of the 46 members. Secondary structure prediction indicated that α-helices and random coils were the predominant structures, together accounting for more than 80% of the total, and three-dimensional structural models further confirmed the conservation of functional domains. Collinearity analysis revealed 16 homologous gene pairs between rosemary and Arabidopsis thaliana, as well as 40 intragenomic collinear blocks and gene duplication events, suggesting functional divergence of CYP87A gene family members during evolution. Cis-acting element analysis showed that the promoter regions of these genes were enriched with light-responsive, hormone-responsive (e.g., ABA, MeJA), and stress-responsive elements, indicating their potential involvement in multiple biological processes.
    Effects of bioceramic powder on growth and physiology of Cinnamomum cassia seedlings
    CHEN Shao-rong, YANG Ye-shan, LIN Ying, CHEN Jun-yan, LI Liang-bo, CAO Ke-xin, CHEN Jian-hua, HUANG Rong-shao
    2026, 65(8):  100-104.  doi:10.14088/j.cnki.issn0439-8114.2026.08.015
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    To explore the effects of bioceramic powder (BP) on the growth and physiological characteristics of Cinnamomum cassia seedlings, a seedling cultivation experiment was carried out with seedling-grown Cinnamomum cassia as materials in substrates supplemented with BP at different concentrations [0(CK), 1%, 5%]. The results showed that treatments with 1% and 5% BP significantly increased seedling height, basal diameter, root development, aboveground biomass and belowground biomass, and increased the contents of chlorophyll a, chlorophyll b and total chlorophyll in leaves. In terms of antioxidant enzyme activities, the 1% BP treatment significantly improved POD activity, whereas the 5% BP treatment significantly enhanced CAT activity. Meanwhile, BP application remarkably increased urease activity in rhizosphere soil. In addition, BP at different concentrations exerted different regulatory effects on soluble sugar and soluble protein contents in seedling leaves, as well as sucrase activity in the rhizosphere soil. Overall, appropriate application of BP could improve the physiological and biochemical characteristics of Cinnamomum cassia seedlings and promote their healthy growth.
    Horticulture & Local Products
    Effects of nano-copper oxide on seed germination, photosynthetic characteristics, and antioxidant enzyme activities of pepper
    ZHANG Hua-xin, JIANG Ke-nuo, CHEN Xiao-feng
    2026, 65(8):  105-110.  doi:10.14088/j.cnki.issn0439-8114.2026.08.016
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    To investigate the effects of nano-copper oxide (nano-CuO) on crop growth and physiological-biochemical characteristics, pepper (Capsicum annuum L.) was used as the test material. Five treatments were set up: CK(0 mg/L), A1(10 mg/L), A2(20 mg/L), A3 (50 mg/L), and A4 (100 mg/L). Various physiological and biochemical indicators were measured under different concentrations of nano-CuO solution, including seed germination rate, photosynthetic characteristics of pepper leaves, and antioxidant enzyme activities. Additionally, the cytoskeleton of pepper radicle cells was observed under different concentrations of nano-CuO solution. The results showed that soaking pepper seeds with different concentrations of nano-CuO solution had an inhibitory effect on seed germination, with the most significant effect observed in the A3 treatment. Compared with CK, the germination rate decreased by 25.6 percentage points. Irrigating pepper plants with different concentrations of nano-CuO solution promoted the net photosynthetic rate (Pn), with the best effect observed in the A4 treatment, where Pn increased by 50.4% compared with CK. Irrigation with different concentrations of nano-CuO solution also enhanced the activities of NAD-MDH, CAT, SOD, and POD enzymes in pepper leaf tissues. The most significant increase in NAD-MDH activity was observed in the A1 treatment, and the greatest increases in CAT, SOD, and POD activities were observed in the A3 treatment. Soaking pepper seeds with different concentrations of nano-CuO solution exerted certain effects on the cytoskeleton of pepper radicle cells. Specifically, under the A3 treatment, cortical actin filament signals in the cells were enhanced, and stress fibers became more numerous and thicker.
    Comprehensive evaluation of agronomic traits of single-harvest Zizania latifolia germplasm under summer high-temperature conditions
    SHI Yi-sen, LIANG Wen-xiu, LIU Wei-yang, LIU Xiao-jing, YANG Meng-fei, SONG Rui-qi, ZHOU Jia-yan, ZHANG Shang-fa, ZHENG Zhai-sheng, ZHOU Yan-hong, HU Zhang-jian, LI Yi-peng
    2026, 65(8):  111-118.  doi:10.14088/j.cnki.issn0439-8114.2026.08.017
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    Taking 19 single-harvest Zizania latifolia germplasms as experimental materials, 15 agronomic traits and quality indices were determined under summer high-temperature cultivation conditions, and comprehensive evaluation was performed using correlation analysis, principal component analysis (PCA), hierarchical cluster analysis and the subordinate function method. The results showed that the agronomic traits of the tested Zizania latifolia germplasms exhibited abundant genetic variation. The coefficient of variation of trimmed shoot weight was the highest at 47.66%, while that of oxalic acid content was the lowest at 1.89%. Trimmed shoot weight was significantly positively correlated with shoot weight with sheath, trimmed shoot length and plant height. Yield-related traits showed strong synergy, while both synergistic and antagonistic relationships existed among quality traits. Three principal components with eigenvalues greater than 1 were extracted via PCA, with a cumulative variance contribution rate of 62.86%, which represented yield traits, vegetative organ development and quality traits, respectively. The tested germplasms were classified into 4 clusters through hierarchical cluster analysis combined with the comprehensive evaluation based on the subordinate function method, and three first-class elite germplasms, namely JS-3, JS-2 and Jinjiaoyouzhu, were finally screened out.
    Dynamic analysis of dry matter and calcium content during fruit development in pear varieties with different cracking susceptibilities
    FAN Jing, CHEN Qi-liang, YANG Xiao-ping, ZHANG Jing-guo, DU Wei, LIU Wei, HU Hong-ju
    2026, 65(8):  119-123.  doi:10.14088/j.cnki.issn0439-8114.2026.08.018
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    Fruit cracking is a common physiological disorder in pear production, closely related to peel mechanical strength and water fluctuations. In this study, the cracking susceptible pear germplasm ‘4-5-73' and its non-cracking parents ‘Jinshui No.1' and ‘Hosui' were used as materials. From the 4th week after full bloom until fruit maturity, fruit growth dynamics, dry matter content and calcium content in peel and flesh were determined. The results showed that the cracking susceptible variety ‘4-5-73' exhibited higher growth rates than its two parents during the young fruit stage and early fruit expansion stage, and its fruit transverse diameter was larger than that of the parents throughout the developmental period. This variety started cracking from the 9th week after full bloom, and the cracking rate increased rapidly from the 12th to the 13th week. Dry matter analysis revealed that the lowest peel dry matter content of non-cracking parents occurred at week 13, whereas that of ‘4-5-73' occurred at week 14, about one week later than that of the non-cracking parents. Lower dry matter content indicated higher water content. The peel dry matter of the cracking variety declined from peak to trough within 3 weeks, which was shorter than that of the non-cracking parents (4 weeks), suggesting a more drastic water fluctuation per unit time. Calcium content analysis indicated that peel calcium content was higher than flesh calcium content, and calcium content in all varieties decreased during fruit development. During the rapid increase of cracking, the cracking samples of the susceptible variety had lower peel and flesh calcium contents than the non-cracking samples at the same stage. Pear fruit cracking may result from the combined effects of low calcium in the peel and water fluctuations during fruit expansion: low calcium weakened the mechanical strength of the cell wall, while rapid water accumulation generated high pressure, eventually leading to peel rupture. This study provided a theoretical basis for applying exogenous calcium fertilizer to alleviate pear fruit cracking.
    Ecological adaptability and comprehensive trait evaluation of a new flue-cured tobacco line LY100
    LI Yuan, WANG Hui, YANG Xiang-le, YUE Xiu-qiang, REN Min, LIU Dan, LIU Guo-xiang, YANG Ai-guo, LI Li-hua
    2026, 65(8):  124-132.  doi:10.14088/j.cnki.issn0439-8114.2026.08.019
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    To clarify the botanical characteristics, agronomic traits and ecological adaptability of LY100, a new local characteristic flue-cured tobacco strain, field trials were conducted at five experimental sites covering four provinces, namely Jimo and Zhucheng of Shandong, Luoyang of Henan, Xichang of Sichuan and Longshan of Hunan. Investigations on botanical and agronomic traits of LY100 were carried out, and industrial evaluation of cured tobacco leaf samples was implemented. Systematic identification was also performed on its disease resistance, cold tolerance and genetic relationship. The results showed that LY100 exhibited consistent botanical traits across all five test sites. In terms of agronomic performance, LY100 possessed taller plants and more leaves in Shandong; shorter internodes along with longer and wider leaves in Luoyang; and the shortest plant height, the least leaf number yet relatively large leaf length and width in Longshan. Comprehensive analysis indicated that LY100 was more suitable for cultivation in the Huanghuai tobacco-growing region, with the best overall performance recorded in the Luoyang producing area. Further industrial evaluation on cured tobacco leaves from Luoyang demonstrated that LY100 grown in Shangguan of Yiyang stood out in appearance quality, sensory quality and comprehensive industrial assessment. In addition, LY100 showed superior low-temperature tolerance compared with control varieties H382 and K326, yet its overall disease resistance was unsatisfactory. Genetic relationship analysis revealed a distinct genetic background between LY100 and mainstream cultivated varieties. In conclusion, LY100 delivers favorable comprehensive leaf quality, while its disease resistance needed substantial improvement. Given its distant genetic relationship with other dominant cultivars, LY100 can be further developed and researched as a characteristic reserve variety for the Huanghuai tobacco-growing region.
    Growth and physiological responses of Asparagus retrofractus seedlings under different shading environments
    LIU Yu-jun, MA Dao-cheng, XU Yuan-yuan, DENG Rong-yan, DENG Yu-bin, PANG Zhu-liang
    2026, 65(8):  133-140.  doi:10.14088/j.cnki.issn0439-8114.2026.08.020
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    To explore the effects of different shading environments on the growth and physiological characteristics, as well as nutrient absorption of Asparagus retrofractus L. seedlings, 4-month-old A. retrofractus seedlings were taken as the research objects. Four shading intensity treatments (0%, 25%, 50% and 75% shading) were set up to determine the biomass, physiological and biochemical characteristics, and nutrient element contents of A. retrofractus seedlings under different shading conditions after 5 month treatments. The results showed that there were extremely significant differences in most indexes among different shading environment. Among them, under the T3 (50% shading) treatment, the biomass, the activities of antioxidant enzymes (SOD, CAT), and the total phosphorus content in the aboveground part all reached the maxima and were superior to those under the full light (T1) treatment. However, under the T4 (75% shading) treatment, the MDA content was the lowest, and the accumulation of nitrogen and potassium elements in the aboveground part and nitrogen and phosphorus elements in the underground part increased. With the increasing canopy densities, most indexes (such as biomass and antioxidant enzyme activity) generally showed a trend of first increasing and then decreasing, but the degree of membrane lipid peroxidation gradually decreased. 3 principal components with eigenvalues greater than 1 (with a cumulative contribution rate of 100%) were extracted from 15 growth, physiological and element content indexes. These principal components mainly reflected the biomass and dry matter accumulation of A. retrofractus seedlings, the accumulation of nutrients in the aboveground part, the accumulation of nitrogen in the underground part, and the plant resistance. The mean scores of the principal components for each treatment, from largest to smallest, were T3, T4, T2, T1. It could be seen from this that both overly strong and overly weak light environments could lead to a decrease in the biomass accumulation of young plants of A. retrofractus and nutrient limitations. Moderate shading could promote the growth and development of young seedlings of A. retrofractus during the seedling stage and enhance the activity of some antioxidant enzymes. The environment with a shading degree of 50% was the most suitable. At this time, appropriate fertilization methods (such as combined application of nitrogen and potassium fertilizers) should be adopted to promote the growth and development process.
    Storage & Processing
    Comparative study on the effects of three drying technologies on the quality of Lilium lancifolium
    YANG Yong-xue, YI Shu-yuan, CHEN Feng, LI Pei-xuan, CHEN Fa-zhi, WANG Zhan-chang
    2026, 65(8):  141-145.  doi:10.14088/j.cnki.issn0439-8114.2026.08.021
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    To determine the best drying method of Lilium lancifolium, the effects of microwave vacuum drying, vacuum freeze drying, and hot air drying on the quality of Lilium lancifolium were systematically studied and compared. The core indicators including the water content, the polysaccharide content, and the ash content in the Pharmacopoeia of the People's Republic of China(hereinafter referred to as the Pharmacopoeia) were measured. Sensory evaluation was also performed. The results showed that the water content and the ash content of all twelve drying samples conformed to the Pharmacopoeial standards. Except for the treatments of microwave vacuum drying at 80 ℃ for 50 min and hot air drying at 80 ℃ for 5 h, the polysaccharide content of the other ten treatments complied with the Pharmacopoeial standards. Among these treatments, the polysaccharide content of vacuum freeze drying at -70 ℃ for 8 h achieved the highest level, reaching 26.65%. In terms of sensory evaluation, the dried samples of vacuum freeze drying at -70 ℃ and microwave vacuum drying at 70 ℃ for 40 min exhibited better comprehensive quality, while the hot air drying samples had the problems such as darker color and harder texture. In conclusion, vacuum freeze drying at -70 ℃ for 8 h was the optimal drying method for drying Lilium lancifolium, followed by microwave vacuum drying at 70 ℃ for 40 min. This study provided certain theoretical and technical support for the drying processing and upgrading of Lilium lancifolium.
    Study on the appearance quality of flue-cured tobacco selection materials in Yunnan production area
    FAN Yun-tao, LIU Yuan-shang, LIU Chun-kui, XU Chun-ping, TAN Hong-xiang, ZHAO Zhen-bo, GUO Xiao-kun, QU Li-li, LI Ke-du
    2026, 65(8):  146-152.  doi:10.14088/j.cnki.issn0439-8114.2026.08.022
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    In order to clarify the appearance quality characteristics of flue-cured tobacco selection materials from the Yunnan production area, taking flue-cured tobacco selection materials of eight production areas in Yunnan as the research object, the differences in appearance index scores of tobacco selection samples of the same grades were analyzed, and principal component analysis and correlation analysis were performed on the flue-cured tobacco samples. The results showed that the coefficient of variation of color scores for flue-cured tobacco in the Yunnan production area was the largest, while that of oil scores was the smallest, and there were significant differences in the maturity scores of flue-cured tobacco samples from different production areas. The ranking of the total appearance scores of C1F, C2F, C3F and C4F selected leaf grades for flue-cured tobacco were C1FA > C1F > C1FB > C1FC, C2FA > C2F > C2FB > C2FC, C3FA > C3F > C3FB > C3FC, C4FA > C4F > C4FZ, respectively. The ranking of the total appearance scores for B1F and B2F selected leaf grades were B1FA > B1F > B1FZ, B2FA > B2F > B2FZ, respectively. Most of Yunnan flue-cured tobacco samples were orange, the maturity was mostly ripe, leaf structure was open-firm, the body was medium, the oil was oily, and the overall appearance quality of tobacco leaves was good. There was a significant positive correlation among all appearance indices of the Yunnan flue-cured tobacco samples.
    Detection & Analysis
    Determination of volatile aroma components in different varieties of Oolong tea by SBSE-TD/GC-MS
    ZOU Wan-ting, CHEN Jing
    2026, 65(8):  153-162.  doi:10.14088/j.cnki.issn0439-8114.2026.08.023
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    To investigate the volatile aroma characteristics of Oolong tea, the stir rod adsorption- extraction and thermal desorption combined with gas chromatography-mass spectrometry (SBSE-TDU/GC-MS) was employed to identify the volatile aroma compounds in four representative Oolong teas: Tieguanyin, Fenghuang Dancong, Dongding Oolong, and Dahongpao. The key aroma substances were analyzed in combination with sensory evaluation and odor activity values (OAV). The results showed that Tieguanyin, Fenghuang Dancong, Dongding Oolong, and Dahongpao each had their own unique characteristic aromas. Tieguanyin had a distinct floral aroma with fruity and jasmine-like notes. Fenghuang Dancong had a strong roasted aroma with a hint of greenness and a slightly bitter tea flavor. Dongding Oolong had a floral aroma with a hint of honey sweetness and a slight roasted note. Dahongpao had a smoky and roasted flavor with a bitter and astringent tea taste. Based on GC-MS analysis and OAV, key compounds responsible for the different aromas of Oolong tea included nerolidol, linalool, cis-4-heptenal, indole, methyl jasmonate, and beta-ionone. This study revealed the chemical basis of Oolong tea aroma and provided a theoretical foundation for understanding the formation mechanism of the characteristic aroma of Oolong tea.
    Determination of 50 plant growth regulator residues in Asparagus densiflorus by UPLC-MS/MS
    XU Meng, LU Sen-hua, FAN Wen-yan, LIANG Pei-qiu, LONG Xiu-hua, CHENG Gao-bo, CHEN Le-yan
    2026, 65(8):  163-169.  doi:10.14088/j.cnki.issn0439-8114.2026.08.024
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    To establish an analytical method based on ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) for the simultaneous determination of residues of 50 plant growth regulators (PGRs) in Asparagus densiflorus, and to apply it to screen commercially available samples, the samples were pretreated using a modified QuEChERS method and analyzed by UPLC-MS/MS. Accurate quantification was achieved using an internal standard method and matrix-matched calibration curves. The method demonstrated good linearity in the range of 0.5-200.0 μg/L(R2>0.990), with limits of detection (LOD) between 0.02 and 10.00 μg/kg. The spiked recoveries ranged from 67.3% to 125.3%, with all relative standard deviations (RSD) below 5.5%. Analysis of 21 batches of commercial Asparagus densiflorus using the established method revealed that abscisic acid and sodium p-nitrophenolate were 100% detected, with the detection rates of 3-indoleacetic acid and enadenine reaching 95.2% and 76.2%, respectively, while the other plant growth regulators (PGRs) were not detected. In conclusion, the developed method was efficient and reliable, suitable for the high-throughput screening of multiple PGRs classes in Asparagus densiflorus, and provided a technical basis for relevant quality monitoring.
    Information Engineering
    Evolution characteristics of production capacity and construction of a disaster loss assessment model in China's major grain-producing areas
    ZHANG Xiao-yan, ZHANG Chao-bin, LI Yong-zhuang, YIN Fang, WANG Zhao-hua, LIU Kai-chang
    2026, 65(8):  170-179.  doi:10.14088/j.cnki.issn0439-8114.2026.08.025
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    To systematically reveal the evolution law of production capacity in China's major grain-producing areas and the impact of meteorological disasters on grain production, and to provide a scientific basis for regional grain yield prediction and disaster prevention and mitigation strategy formulation, based on the long-term statistical data of grain production and agricultural disasters in 13 major grain-producing areas of China from 1949 to 2023, principal component analysis (PCA) was used to identify the dominant disaster types, and the disaster-affected rate and disaster-damaged rate were used to construct a grain meteorological yield response model, and the simulated yield for the corresponding years was calculated and compared with the actual yield. The results showed that in 2023, the sown area and grain yield in the major grain-producing areas increased by 13.27% and 5.98 times, respectively, compared with the base year (1949), the planting structure concentrated on the three major staple grains, and the production center exhibited a characteristic of increase in the north and decrease in the south. Flood and drought were the dominant disaster-causing factors, and the disaster vulnerability in the northern regions was generally higher than that in the southern regions. The simulated yield and actual yield in the 13 major grain-producing areas showed a good linear relationship, with coefficients of determination (R2) ranging from 0.835 6 to 0.976 4. In conclusion, the grain yield in the 13 major grain-producing areas of China steadily increased, but the threat of flood and drought disasters remained severe, the northern regions needed to focus on improving disaster prevention and mitigation capabilities, and the constructed assessment model had good prediction accuracy for grain yield.
    An image dataset annotation method for cotton pests and diseases based on active learning
    LIU Kai, XIAO Guo-feng, Dilixiati Duolikun, ZHAO Xin-miao, XU Jin, TANG Li-si
    2026, 65(8):  180-186.  doi:10.14088/j.cnki.issn0439-8114.2026.08.026
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    To reduce the manual annotation cost of large-scale image dataset construction and to solve the problem that traditional active learning methods tended to ignore long-tail scenarios, which limited model performance, a three-stage progressive intelligent annotation method for image datasets was constructed. First, in the cold start stage, DINOv2 was introduced for feature pre-extraction, and an adaptive minority cluster boosting algorithm (AMCB) was proposed; then, in the active learning cycle stage, a two-stage hybrid sampling algorithm was designed, which performed diversity coarse screening through MiniBatch K-means and combined prediction uncertainty with local feature density for fine selection, so as to efficiently drive model iteration; finally, after the model performance reached the standard, a confidence-based stratified filtering mechanism was used to perform full automatic annotation on the remaining data. The experimental results on the cotton pests and diseases image dataset showed that compared with the random sampling algorithm, the AMCB + two-stage hybrid sampling algorithm could cover rare classes more evenly and significantly reduced the manual annotation workload while achieving the same detection accuracy.
    Assessment of eco-environmental quality in Liangqing District, Nanning City based on multi-temporal remote sensing ecological index
    YU Peng-cheng, XU Jie, LUO Yuan-jia, XIE Guang-xiong, REN Ci, ZHANG Yu-tong, JIANG Jin-li, KUANG Hao
    2026, 65(8):  187-192.  doi:10.14088/j.cnki.issn0439-8114.2026.08.027
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    In order to further improve the ecological civilization construction level of Liangqing District, Nanning City, and accurately assess the spatiotemporal evolution characteristics of eco-environmental quality in the area under the background of rapid urbanization, this study used Landsat remote sensing images from 2015, 2020, and 2026 as data sources, integrated four ecological indicators, i.e., greenness (NDVI), wetness (WET), dryness (NDBSI), and heat (LST), based on the Remote Sensing Ecological Index (RSEI) model, allocated weights using principal component analysis, and conducted a comprehensive evaluation of the eco-environmental quality of the area over the past 10 years. The results showed that, in the temporal dimension, the mean RSEI of Liangqing District increased from 0.58 in 2015 to 0.65 in 2020, then decreased to 0.50 in 2026, showing a trend of first increasing and then decreasing, and the change rate of eco-environmental quality was -0.007 per year. In 2026, areas with poor eco-environmental quality in the northern part of Liangqing District continued to expand southward under the influence of urban construction, while areas with good or better quality in the central and southern parts were relatively concentrated, the area of poor-quality regions decreased, and local ecology improved to some extent. From 2015 to 2026, the areas where eco-environmental quality significantly improved were mainly concentrated in the central part, with scattered distribution in the northern and southern parts, while the areas where it significantly deteriorated were mainly distributed in the region south of the northern urban agglomeration and some parts of the south.
    Spatiotemporal control method for temperature and humidity in a tobacco leaf aging warehouse based on RNN and XGBoost
    CAO Zhen-rui, JI Quan-bin, LYU Li, LI Yang, WANG Heng
    2026, 65(8):  193-198.  doi:10.14088/j.cnki.issn0439-8114.2026.08.028
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    To solve the problems of control target deviation, increased relative error, and degradation of tobacco leaf quality caused by strong coupling of spatiotemporal variables in the temperature and humidity control of a tobacco leaf aging warehouse, a spatiotemporal control method for temperature and humidity based on a recurrent neural network (RNN) and extreme gradient boosting (XGBoost) was designed.First, temperature and humidity sensors were used to collect real-time data in the warehouse, and the spatiotemporal dimensional features of temperature and humidity were extracted from wireless sensor network (WSN) data packets. Then, RNN was used to capture the dynamic spatiotemporal variation patterns of temperature and humidity, and reasonable control targets were set in combination with the XGBoost algorithm. On this basis, a compensation mechanism for the decoupling control variables of temperature and humidity targets was introduced. Compensation values were calculated using the inertial time constant to replace the original objective function, making the compensated control targets approach the expected values, thereby effectively offsetting the lag effect caused by system coupling.The experimental results showed that compared with the PID method and the FNN method, the RNN-XGBoost method strictly controlled the relative error of temperature and humidity within 0-1.0%, significantly improving the control accuracy and stability.
    YOLOv11-RFD: potato leaf disease detection model based on multi-path parallel architecture
    ZHOU Li, FU Yu
    2026, 65(8):  199-206.  doi:10.14088/j.cnki.issn0439-8114.2026.08.029
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    To improve the detection accuracy and speed of potato leaf diseases and address false detections and missed detections caused by complex environments and diverse lesion types, a potato leaf disease detection model based on multi-path parallel downsampling, named YOLOv11-RFD, was proposed. The dataset was constructed using the publicly available PlantVillage dataset and the Potato Leaf Disease Dataset. Potato leaf images were extracted and merged into a self-built dataset containing three categories of images captured under both single backgrounds and real-field environments. To improve network performance, the downsampling layers of YOLOv11n were replaced with the RFD module, which integrated multiple downsampling methods to generate more robust multi-dimensional feature representations and enabled the model to effectively capture critical information in the shallow stages of the network. Detection results on the self-built dataset showed that the YOLOv11-RFD model achieved a precision of 94.8%, an mAP0.5 of 95.4%, and an mAP0.5:0.95 of 88.0%. Compared with the baseline model YOLOv11n, the improved network enhanced the discriminative ability for disease region features, resulting in a 7.6 percentage point increase in precision. However, as the feature screening mechanism was strengthened, some low-saliency, small-scale, or boundary-blurred lesions were suppressed, causing a small number of real targets to remain undetected and leading to a certain decrease in recall. Meanwhile, mAP0.5 and mAP0.5:0.95 increased by 1.6 and 0.5 percentage points, respectively. The results demonstrated that the YOLOv11-RFD model could effectively improve overall detection performance and provided a reference for the practical application of potato leaf disease detection.
    Hyperspectral semantic segmentation of rice diseases and pests based on spatial-spectral attention U-Net
    WU Cong, GAO Tong-tong
    2026, 65(8):  207-214.  doi:10.14088/j.cnki.issn0439-8114.2026.08.030
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    To address the problems of high spectral redundancy and insufficient spatial-spectral information fusion in hyperspectral images of rice diseases and pests, which limited segmentation accuracy, a spatial-spectral attention U-Net model (SSA U-Net) was proposed. A band gating module was introduced at the input stage to adaptively weight spectral bands, thereby highlighting disease- and pest-sensitive bands while suppressing redundant spectral information. In the skip connections, a spectral-guided residual attention gate module was designed to generate spatial attention weights by integrating high-level decoder semantics with spectral priors, which improved the representation of weak lesions, small-scale regions, and blurred boundaries. Meanwhile, a joint loss function combining cross-entropy loss, Dice loss, and band sparsity regularization was constructed to alleviate class imbalance and enhance the learning ability for key spectral features. Experiments on 1 270 of 34-band hyperspectral images of rice diseases and pests showed that SSA U-Net achieved a mean Dice coefficient of 89.6% and a mean intersection over union of 81.2% on the test set, which were 5.4 and 8.5 percentage points higher than those of the baseline U-Net, respectively. The overall performance metrics were higher than those of DeepLabV3+, U-Net, U-Net++, and SegNet, while the parameter size (3.16×107) was at the same order of magnitude as that of U-Net. SSA U-Net achieved pixel-level segmentation of rice disease and pest regions, providing technical support for intelligent monitoring and precision plant protection.
    Design and implementation of a digital twin smart greenhouse management system integrating Django and UE5
    GONG Zhi, HUANG Zeng-wei, Dilixiati Duolikun, ZHAO Xin-miao, XU Jin, TANG Li-si
    2026, 65(8):  215-223.  doi:10.14088/j.cnki.issn0439-8114.2026.08.031
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    To address the problems in greenhouse production management, such as limited dimensions of heterogeneous data collection, lack of intuitive human-computer interaction, and over-reliance of environmental regulation on human experience, a digital twin intelligent greenhouse management system based on Django and UE5 was designed and implemented. The system constructed a closed-loop management architecture of "heterogeneous perception-model reasoning-bidirectional virtual-real driving", integrated the DeepSeek large model's logical reasoning with UE5 pixel streaming technology, and realized the synergy of data display and intelligent decision-making. The system hardware adopted the ESP32 distributed management mode under a Wi-Fi ad-hoc network, and relied on MQTT services to achieve message forwarding; combined the Django and Vue frameworks to construct the Web management layer; utilized UE5 to build the twin model, achieving low-latency and high-fidelity bidirectional virtual-real mapping through pixel streaming and Lumen illumination technology; and integrated DeepSeek, YOLO, and Bayesian networks to establish a "perception-reasoning-assisted decision-making" system. The system test results showed that the average end-to-end data latency of the system was less than 150 ms, the error of virtual-real synchronization accuracy was less than 5%, and the accuracy of auxiliary decision-making was more than 90%, which improved the accuracy by about 25% compared with traditional experience-based regulation. The research results could provide a reference scheme for constructing a low-cost, highly integrated, and highly visualized modern intelligent greenhouse management system, as well as the migration and application of UE5 digital twin technology in the agricultural field.
    New quality productive forces, off-farm employment, and common prosperity: Impact effects and transmission mechanisms
    FAN Dan-xue, LI Mei-yue
    2026, 65(8):  224-233.  doi:10.14088/j.cnki.issn0439-8114.2026.08.032
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    Based on a theoretical analysis of the influence effects and internal mechanisms of new quality productive forces on common prosperity, panel data covering 30 provincial-level administrative regions in China from 2011 to 2023 were adopted. New quality productive forces, off-farm employment and common prosperity were further integrated into a unified analytical framework. It empirically examined the effects of new quality productive forces on common prosperity and the mediating role of off-farm employment. The results indicated that new quality productive forces significantly promoted common prosperity. Specifically, digital productive forces exerted the strongest positive effect, followed by scientific and technological productive forces, while green productive forces showed the weakest effect. Furthermore, new quality productive forces could raise residents' income levels by expanding the scale of off-farm employment, thereby indirectly fostering common prosperity. In addition, a threshold effect existed in the relationship between new quality productive forces and common prosperity, and off-farm employment moderated this nonlinear influence.
    Economy & Management
    Analysis of the coupling coordination development level and dynamic evolution of new-quality agricultural productive forces and agricultural carbon emission efficiency under the background of “dual carbon”goal
    XIA Wen-hao, LIU Zhi-you, YANG Hong-bin, FU Ming-yue
    2026, 65(8):  234-243.  doi:10.14088/j.cnki.issn0439-8114.2026.08.033
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    To systematically explore the intrinsic mechanisms and dynamic correlations between new-quality agricultural productive forces and agricultural carbon emission efficiency,based on the panel data of 31 provinces in China from 2011 to 2023, the methods of coupling coordination degree model, super-efficiency SBM model with undesirable outputs, kernel density estimation model and correlation analysis were adopted to explore the coupling coordination development level and dynamic evolution of new-quality agricultural productive forces and agricultural carbon emission efficiency. The results showed that the coupling coordination degree of new-quality agricultural productive forces and agricultural carbon emission efficiency in the whole country and four major regions presented an overall fluctuating upward trend from 2011 to 2023; in terms of spatial distribution, it featured a pattern of "higher in the east and lower in the west, higher in the south and lower in the north", with the coupling degree remaining at a high level all the time, and the regional differences in the comprehensive coordination index being the core cause of the differentiation of coupling coordination degree; the temporal evolution characteristics of the coupling coordination degree of agricultural carbon emission efficiency and new-quality agricultural productive forces in China from 2011 to 2023 were generally characterized by a steady improvement in synergy level, a continuous expansion of regional differences and a unimodal agglomeration in the development pattern; from 2013 to 2023, the coupling coordination degree of agricultural carbon emission efficiency and new-quality agricultural productive forces in China presented a significant positive spatial autocorrelation, and the spatial distribution of their coupling coordination development showed an obvious spatial agglomeration characteristic.
    Research on financial support models innovation for new rural collective economic organizations:From the perspective of policies aimed at strengthening agriculture, benefiting farmers, and enriching rural areas
    JIANG Ya-dan, JIANG Fan
    2026, 65(8):  244-249.  doi:10.14088/j.cnki.issn0439-8114.2026.08.034
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    To explore innovative pathways for financial support models of new rural collective economic organizations from the perspective of policies aimed at strengthening agriculture, benefiting farmers, and enriching rural areas,three representative types of financial support models formed by these organizations under differentiated policy objectives were focused on, and an in-depth analysis of their operational logic, adaptive conditions, and practical constraints was conducted. Building on this analysis, the paper proposed constructing a financial support system centered on new rural collective economic organizations as a hub. This involved strengthening the organizations' own capacities, promoting innovation in financial services, optimizing inter-departmental coordination mechanisms, and deepening the integration and application of digital technologies. The proposed system aimed to optimize policy transmission pathways, enhance the efficiency of financial resource allocation, and provide financial support for rural revitalization.
    Analysis of spatiotemporal variation characteristics and influencing factors of agricultural mechanization development in Xianyang City
    XU Xiao-ting, LI Zhi-wen, HUANG Wei-hua, LEI Ben-hao
    2026, 65(8):  250-256.  doi:10.14088/j.cnki.issn0439-8114.2026.08.035
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    To promote the development of agricultural modernization in Xianyang City, the spatial autocorrelation analysis, standard deviation ellipse analysis, and Pearson correlation analysis were used to examine the spatiotemporal dynamic characteristics and influencing factors of agricultural mechanization development in Xianyang City. The results showed that from 2010 to 2024, the total power of agricultural machinery in Xianyang City increased from 249.1×104 kW to 306.1×104 kW, representing an increase of 22.9%, with an average annual growth rate of 1.5%. The Global Moran's I increased from 0.492 to 0.583, indicating significant spatial clustering of the total power of agricultural machinery with continuously enhanced spatial synergy. The spatial distribution pattern was characterized by higher values in the south and lower values in the north, as well as higher values in plains and lower values in hilly areas. High-value areas were concentrated in the southern plain grain-producing regions and suburban agricultural zones, while low-value areas were distributed in the northern hilly and mountainous regions. The centroid of the total power of agricultural machinery shifted northwestward by approximately 13 km, reflecting the notable effectiveness and accelerated development of the promotion of characteristic industry mechanization in the northern region. The total power of agricultural machinery showed a highly significant (r=0.946, P<0.001) and significant (r=0.783, P<0.01) positive correlation with total agricultural output value and the sown area of major crops, respectively, indicating its important supporting role in agricultural modernization. The spatiotemporal variation characteristics of agricultural mechanization in Xianyang City were primarily influenced by natural geographical factors such as topography and climate, as well as policies such as agricultural machinery purchase subsidies, agricultural modernization and rural revitalization. Natural geographical factors dominated the spatial pattern of mechanization, while policy and institutional factors served as the core driving force behind the growth and pattern evolution of agricultural mechanization.