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    20 July 2022, Volume 43 Issue 07
    High Yield and Water Use Efficiency Synergistical Improvement Irrigation Scheme of Winter Wheat in North China Plain Based on Meta-Analysis
    ZHOU Li-tao, SUN Shuang, ZHANG Zhen-tao, ZHANG Fang-liang, GUO Shi-bo, SHI Yan-ying, YANG Xiao-guang
    2022, 43(07):  515-526.  doi:10.3969/j.issn.1000-6362.2022.07.001
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    The effects of irrigation on winter wheat yield and water use efficiency (WUE) were mostly explored based on site-based experiments in North China Plain (NCP) region. However, due to the influences of contrasting environmental factors (e.g. climate and soil properties), these results cannot be accurately cross-compared among different studies, resulting in the difficulty to get the generalizable pattern at regional scale. Here meta-analysis was conducted to comprehensively evaluate the effects of irrigation on winter wheat yield and WUE in NCP region, with the observation data of 1876 pairs from 186 field experimental papers totally. The differences of the irrigation effects in different regions, precipitation year types, soil texture, and nitrogen (N) application levels were explored, and the corresponding optimal irrigation amounts for reaching high yield and WUE were ascertained. Results showed that compared with non-irrigation during the winter wheat growing period, irrigation increased the yield of winter wheat in NCP by 32.0%-38.3%, and reduced the WUE by 27.1%-30.1%. The yield increment due to irrigation in the northwest of NCP (39.6%-53.5%) with total precipitation during the winter wheat growing period below 150mm was higher than that in the southeast of NCP (24.3%-27.1%) with total precipitation during the winter wheat growing period higher than 150mm, while the decrease of WUE due to irrigation in northwest of NCP (32.4%-37.5%) was higher than that in the southeast of NCP (22.0%-24.3%). The optimum irrigation amount for high yield and WUE of winter wheat was 150-180mm in the northwest and 120-150mm in the southeast. Specifically, for different precipitation year types, the optimum irrigation amounts were 120-150mm with 2 times during jointing and flowering stages for dry year, during jointing and heading stages for normal year, and during jointing and booting stages for wet year. For different soil texture, irrigation under loamy soil had the highest increases in yield, while clay soil had the lowest decreases in WUE; the optimum irrigation amounts of winter wheat with four different soil texture of sandy soil, loam, clay loam and clay were 60-90mm, 120-150mm, 180-210mm, and 150-180mm, respectively. For different N application levels, N application of 120-240kg·ha−1 led to the highest yield and WUE under the irrigation amounts of 80-140mm, of which the higher yield was obtained under irrigation amounts of 110-140mm, and the higher WUE was obtained under the irrigation amounts of 80-110mm. Collectively, the NCP region can achieve the goals of high yield and WUE when irrigation amount was 120-150mm with 2 times but at different stages during different precipitation year types (i.e. dry year, normal year and wet year). Meanwhile, the combination of loam conditions with the N application of 120-240kg·ha−1 can synergistically improve the yield and water use efficiency of winter wheat.
    Greenhouse Temperature and Humidity Prediction Models Based on Linear and Nonlinear Coupling Methods
    CAI Shu-fang, LIN Ying-zhi, WU Bao-yi, ZHENG Dong-hai, LEI Jin-gui
    2022, 43(07):  527-537.  doi:10.3969/j.issn.1000-6362.2022.07.002
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    In order to provide reference for vegetable growth management and environmental optimization regulation, the dynamic changes of greenhouse temperature and humidity were predicted by using ARIMA model and RBF neural network. In this study, the data from July 28 to 29 were taken as the validation set, and the data from the previous 5 to 25 days were taken as the sample set. Three input variables were set to explore the temperature and humidity model prediction effects. Based on the measured data of air temperature, relative humidity and light intensity in the vegetable greenhouse, and according to the difference in the predictive ability of ARIMA model and RBF neural network for linear and nonlinear problems, temperature and humidity prediction models based on weight combination of ARIMA and RBF neural network were constructed. The results showed that the temperature and humidity in the greenhouse had more obvious linear and nonlinear variation characteristics, respectively, and the single models with better prediction effects were the ARIMA model and the RBF model. The optimal single temperature model was the model ARIMA(0,1,1)(1,1,1) 24 with 25 days sample set. The optimal single humidity model was the RBF model (3-6-2) with 25 days sample set and input variable A (temperature, humidity and light intensity). Compared with the optimal single models, the ARIMA-RBF neural network weight combination model had higher prediction accuracy and better stability. The MAE, MAPE and RMSE were 1.04℃, 2.95%, 1.21℃ for the optimal temperature combination model and 0.35 percentage point, 0.36%, 0.55 percentage point for the optimal humidity combination model. The weight combination model gives full play to the ability of single models to process data from different characteristics through an appropriate weighting strategy, and can better evaluate the temperature and humidity status in the greenhouse, which provides a reference for establishing a more universal greenhouse environmental factor model.
    Effects of Fertilization Regimes on Soil Alkaline Phosphatase Gene Encoding Microbial Community under the Integrated Planting and Breeding System in the Vegetable Field
    HE Yu, LV Wei-guang, ZHENG Xian-qing, ZHANG Han-lin, LI Shuang-xi, ZHANG Juan-qin, ZHANG Hai-yun, BAI Na-ling
    2022, 43(07):  538-550.  doi:10.3969/j.issn.1000-6362.2022.07.003
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    A field experiment was systematically conducted, using Illumina MiSeq high-throughput sequencing, to analyze the impact of four different fertilizer application regimes (CK, no fertilization; CF, conventional chemical fertilizer; OF, organic fertilizer; MF, organic-inorganic mixed fertilizer) on the soil physicochemical properties, alkaline phosphatase (ALP), microbial biomass phosphorus (MBP), and phoD (gene encoding alkaline phosphatase) microbial community in 0-20cm soil layer at cauliflower harvest season, thus identifying the underlying mechanism of effects of different fertilization regimes on the structure and diversity of phoD microbe under integrated planting and breeding system in vegetable field. The results showed that: (1) compared to CK, OF significantly increased the contents of soil organic matter, total nitrogen, available phosphorus and Ca by 47.83%, 38.46%, 104.81% and 69.21%, respectively (P<0.05); both OF and MF significantly increased ALP activity. The MBP content in CF and OF was improved by 56.12% and 195.16%, respectively, compared with CK; the MBP content in OF was the highest (105.40mg·kg−1). (2) Pseudomonas was the dominant genus under different fertilization treatments. CF and MF significantly reduced the relative abundance of Pseudomonas by 33.39% and 45.52%, respectively, compared with CK. Fertilization decreased the Chao1 index, and MF increased both the diversity (Simpson index) and evenness (Simpsoneven index) of soil phoD microorganisms. (3) MBP, AP, and ALP were the key environmental factors affecting the phoD microbial community structure. There was no significant correlation between phoD microbial α diversity indexes and soil properties. Therefore, under the integrated planting and breeding system in vegetable field, different fertilization treatments changed soil physicochemical and biological properties, and thus drove the changes of composition, structure and diversity of soil phoD microbial community.
    Yield and Water Use of Maize/Soybean Intercropping Systems in Semi-Arid Western Liaoning
    CAI Qian, SUN Zhan-xiang, WANG Wen-bin, BAI Wei, DU Gui-juan, ZHANG Yue, ZHANG Zhe, FENG Chen, XIANG Wu-yan, ZHAO Feng-yan
    2022, 43(07):  551-562.  doi:10.3969/j.issn.1000-6362.2022.07.004
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    To explore the mechanism of overyielding, improvement of land productivity and water use of maize/soybean intercropping, and optimize the configuration of the intercrop in semi-arid western Liaoning, a 2-year (2018-2019) field experiment was conducted at the National Agricultural Environmental Station for Agricultural Environment at Fuxin. The effects of maize-soybean intercropping on yield, land productivity, spatial distribution of soil water content and water use efficiency were studied. Cropping systems were, (1) 2 rows of maize: 2 rows of soybean (M2S2), (2) 4 rows of maize: 4 rows of soybean (M4S4), (3) 6 rows of maize: 6 rows of soybean (M6S6), (4) sole maize (M) and (5) sole soybean (S). The total yields of the 5 cropping systems were M>M6S6>M4S4>M2S2>S. In intercrops, the contribution of maize for total crop yield was greater than soybean, with 79.0%−87.3% of the contribution rates for intercropped maize, and 12.7%−21.0% for intercropped soybean. The land equivalent ratios (LER) of M6S6 and M4S4 were 1.13−1.19 and 1.06−1.07, respectively, indicating a yield advantage of the intercrop, among which M6S6 showed the highest land productivity. The LER of M2S2 was less than 1, indicating a yield disadvantage. The spatial distribution of soil moisture showed that there was water competition between maize and soybean in 0−50cm soil layer, and was water complementarity between maize and soybean in 60−100cm soil layer in intercrops. On the same land area, all the intercrops improved water use efficiency of maize. M2S2 and M4S4 decreased the water use efficiency of soybean. The water equivalent ratio (WER) of M6S6 and M4S4 were 1.18−1.21 and 1.05−1.06, respectively, indicating the water productivity was increased by 5%−21%. Both of M2S2 and M4S4 had water use advantages, and M6S6 showed the highest water use advantage. The WER of M2S2 was 0.99−1.01, indicating a not significant water use advantage (P>0.05). Overall, M6S6 showed the most significant yield and water use advantage, and would provide opportunity for sustainable agriculture in semi-arid western Liaoning.
    GIS-based Risk Zoning and Assessment of Mongo Cold and Freezing Injury in South China
    SUN Chao-feng, LIN Wen, HUANG Chuan-rong, WU Li, CHEN Jia-jin, WANG Jia-yi, LIN Hui-yang
    2022, 43(07):  563-575.  doi:10.3969/j.issn.1000-6362.2022.07.005
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    Based on the observation data of 115 weather stations of mango planting areas in South China (Guangdong, Guangxi and Fujian) from 1961 to 2016, combined with mango cold and freezing injury index, the weighted comprehensive evaluation method was used to determine the cold and freezing injury hazard index of each meteorological station in the planting area, and then established a multiple linear regression model between the cold and freezing injury hazard index and geographical factors. Finally, the regionalization of cold and freezing injury to mango in South China was made based on GIS technology. The results showed that there was a close relationship between the risk of cold and freezing injury and geographical factors in South China mango planting areas, and an overall trend was that the risk of mango cold and freezing injury gradually increased from coast to inland. In addition, with the increase of latitude and altitude, the risk of cold and freezing injury gradually increased from south to north. The slight risk areas were mainly distributed in the southern coastal areas and the low altitude areas of some inland cities of South China mango planting areas, accounting for 56.85% of the planting area, which was suitable for large-scale mango planting. The moderate risk areas were mainly distributed in the inland low and middle altitude areas of the mango planting area in South China, and the high latitude coastal areas in the north, accounting for 37.03% of the planting area. Furthermore, the severe and over severe hazard areas were mainly distributed in the inland high altitude areas of mango planting areas in South China, accounting for 6.12% of the planting area. Through the verification of historical disaster and annual production information of each county, the zoning result was consistent well with the actual situation. The results of this study could provide reference for the optimal layout and disaster prevention and mitigation of mango in South China mango planting area.
    Comparison on Effect between Two Anti-Freezing Measures Taken for Wine Grape Overwintering in the East and West Foothills of Helan Mountain
    LI Hong-ying, DUAN Xiao-feng, XU Hua, YANG Yang, ZHU Yong-ning, YANG Kai-kai, ZHANG Xiao-yu, ZHANG Lei
    2022, 43(07):  575-586.  doi:10.3969/j.issn.1000-6362.2022.07.006
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    Taking 5-year-old Cabernet Sauvignon varieties as research objects, the availability of protection measures was explored in winter vineyards in the eastern and western foothills of Helan Mountain. Two cover methods, “straw mulch with PVC film” and “PP black film with PVC film”, were set up in two vineyards of both foothills during the wine grape overwintering period from 2019 to 2020. The temperature increase effects of two cover measures were analyzed by monitoring the changes of soil temperature in the root zone and surface under different treatments, compared to a control treatment with traditional soil burial in winter. The results indicated that: (1) the temperature of the two foothills fluctuated after the beginning of winter, and there were several low valleys during the period. Under the cumulative influence of continuous low temperature, the surface soil temperature of the eastern and western foothills fluctuated greatly, showing a trend of decreasing at first and then increasing. Soil temperature in the underground root zone decreased steadily until January 15−24 and subsequently began to rise slowly. (2) During the test period, the soil temperature in the western side was lower than that in the eastern side, and the difference of surface temperature between the two sides was large. The mean surface soil temperatures of “straw mulch with PVC film (T1)”and “PP black film with PVC film (T2)” treatments were −2.07℃ and −1.96℃ in the eastern foothills, and −4.01℃ and −3.65℃ in the western foothills, respectively. The mean soil temperature in the root zone was 0.85℃ in the east and 0.74℃ in the west under T1 treatment, 0.89℃ in the east and 0.37℃ in the west under T2 treatment. (3)Compared to two coverage measures, the surface soil temperature was not significantly increased, while the root soil temperature was increased in different degrees. In the east side of the mountain, the temperatures of “straw mulch with PVC film (T1)”and “PP black film with PVC film (T2)”treatments were 0.68℃ and 0.71℃ higher than that of the control, respectively, and the difference was not obvious. In the west side, the temperature of T1 treatment was 0.81℃ higher than that of the control and significantly higher than increase range of T2 treatment (0.44℃). Therefore, “straw mulch with PVC film” was recommended measure for wine grape to against freeze during winter in both sides of Helan Mountain.
    Impacts Report of Meteorological Conditions on Agricultural Production in Winter of 2021/2022
    LI Yi-jun, WANG Chun-zhi, LIU Wei, ZHAO Xiu-lan, LI Sen
    2022, 43(07):  587-590.  doi:10.3969/j.issn.1000-6362.2022.07.007
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    In winter of 2021/2022, mean temperature was -3.2 ° C, closed to the normal, with temperature fluctuated significantly and the former winter was warmer and the latter colder. Precipitation in winter was 52.5mm less than 25 percent of normal. The time of sunshine approached usual, while the eastern Sichuan Basin was more than the normal. Warm and ample sunshine and good soil moisture benefited from widely rainfall stabilized or improved winter wheat in the Northern. Southern growing areas remained warm in the earlier winter, which provided positive production prospect for winter crops and fruit tree. From late January to February, seriously cold temperature and little illumination controlled the South. The average temperature was the lowest in the same period since 2009, and the precipitation had been the most since 1961. Regional continuously low temperature accompanied by rain, snow and freezing weather all were unfavorable to the growth of rapeseed and vegetable in the field. Therefore partial simple facilities greenhouse had damaged and crops frozen, vegetables and fruits ripening had also affected due to regional heavy to storm snows and 1-3 days of daily minimum temperature < 0℃ frost.