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Variation analysis of growth traits of four poplar clones under different water and fertilizer management

Journal of Forestry Research 2020年第1期31卷 45-55页

作者： Ammar Khalil Mohamed Ahmed Luping Jiang Fang Wang Song Chen Xueyan Zhou Xiaona Pei Xiyang Zhao Guanzheng Qu State Key Laboratory of Tree Genetics and Breeding Northeast Forestry UniversityHarbin 150040People’s Republic of China Faculty of Forest Science and Technology University of Gezira22212 MadaniAbu HarazSudan

To determine appropriate quantities of water and fertilizer required for early growth of hybrid poplar cuttings,we recorded the growth traits of four clones grown under four factors(irrigation and nitrogen,phosphorus,and potassium fertilizers),each with four levels,using an orthogonal experimental design.A logistic model was used to estimate growth in *** growth curves for tree height were sigmoid,and the model R^2 values were greater than 0.9,which indicated that the fit was highly *** results for tree height and basal diameter indicated that all sources of variance showed significant differences(p<0.001).The average tree height and basal diameter for all the four clones under the different treatments ranged from 155.39 to 235.04 cm,and from 13.71 to 17.42 mm,respectively.A highly positive correlation between the extreme k value and tree height was observed,suggesting that the k value was an accurate estimation of tree *** model parameters,the earliest average time point for the onset of the rapid growth period of poplar clones was 131 d,and the highest average increment in tree height during the rapid growth period was 138.78 *** highest average tree height for all clones under each factor was 219,210.51,200,and 201 cm when treated with either 1200 mL of water applied every third day,3 g of nitrogen,0 g of phosphorus,or 0 g of potassium,*** most suitable treatment for the early growth of hybrid poplar cuttings,as suggested by the developed logistic model,was 1200 mL of water applied every third day and three applications of 1 g nitrogen(in the form of CH4N2O).

关键词： fertilizer management Growth trait Logistic model Poplar Rapid growth Variation

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A practical soil management to improve soil quality by applying mineral organic fertilizer

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Acta Geochimica 2017年第2期36卷 198-204页

作者： Leilei Xiao Qibiao Sun Huatao Yuan Bin Lian Key Laboratory of Coastal Biology and Utilization Yantai Institute of Coastal Zone ResearchChinese Academy of Sciences Jiangsu Key Laboratory for Microbes and Functional Genomics Jiangsu Engineering and Technology Research Center for MicrobiologyCollege of Life SciencesNanjing Normal University

Heavy use of chemical fertilizer causes increasing soil and environmental crisis, and the use of organic fertilizer increases obvious in recent years. In this study,mineral organic fertilizer(MOF) and compound fertilizer(CF) were applied in amaranth culture to explore the effects of these two kinds of fertilizers on soil quality and the potential function for CO_2 fixation. Some soil parameters were tested, e.g. p H value, organic carbon content, microbial biomass, urease activity, and available potassium content. In addition, some parameters of soil infiltration water were also determined, such as p H and HCO_3^- concentration. Experimental results showed that MOF improved soil quality and amaranth biomass and increased possible soil carbon *** the contrary, the utilization of CF worsened soil quality and made the soil acidize. These results suggested that MOF can partially replace CF to improve plant growth, soil quality and possible CO_2 sink.

关键词： fertilizer management Mineral organicfertilizer Soil quality Natural way Carbon fixation

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Strategies for improving crop comprehensive benefits via a decision-making system based on machine learning in the rice‒rape,rice‒wheat and rice‒garlic rotation systems in Southwest China

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Journal of Integrative Agriculture 2024年第9期23卷 2970-2988页

作者： Xinrui Li Xiafei Li Tao Liu Huilai Yin Hao Fu Yongheng Luo Yanfu Bai Hongkun Yang Zhiyuan Yang Yongjian Sun Jun Ma Zongkui Chen Crop Ecophysiology and Cultivation Key Laboratory of Sichuan Province/Rice Research Institute/State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China/Sichuan Agricultural University Chengdu 611130China College of Grassland Science and Technology Sichuan Agricultural UniversityChengdu 611130China College of Agronomy Sichuan Agricultural UniversityChengdu 611130China

Rice‒rape,rice‒wheat and rice‒garlic rotations are common cropping systems in Southwest China,and they have played a significant role in ensuring ecological and economic benefits(EB)and addressing the challenges of China’s food security in the ***,the crop yields in these rotation systems are 1.25‒14.73%lower in this region than the national *** decision-making with machine learning can analyze the key factors for obtaining better benefits,but it has rarely been used to enhance the probability of obtaining such benefits from rotations in Southwest ***,we used a data-intensive approach to construct an intelligent decision‒making system with machine learning to provide strategies for improving the benefits of rice-rape,rice-wheat,and rice-garlic rotations in Southwest *** results show that raising the yield and partial fertilizer productivity(PFP)by increasing seed input under high fertilizer application provided the optimal benefits with a 10%probability in the rice-garlic *** high yields and greenhouse gas(GHG)emissions by increasing the N application and reducing the K application provided suboptimal benefits with an 8%probability in the rice-rape *** N and P to enhance PFP and yield provided optimal benefits with the lowest probability(8%)in the rice‒wheat *** on the predictive analysis of a random forest model,the optimal benefits were obtained with fertilization regimes by reducing N by 25%and increasing P and K by 8 and 74%,respectively,in the rice-garlic system,reducing N and K by 54 and by 36%,respectively,and increasing P by 38%in rice-rape system,and reducing N by 4%and increasing P and K by 65 and 23%in rice-wheat *** strategies could be further optimized by 17‒34%for different benefits,and all of these measures can improve the effectiveness of the crop rotation systems to varying ***,these findings provide insights into optimal agricultural inputs for higher be

关键词： rice rotation agricultural management greenhouse gas emissions comprehensive benefits fertilizer management

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GASEOUS REACTIVE NITROGEN LOSSES FROM ORCHARDS,VEGETABLES AND TEA PLANTATIONS

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Frontiers of Agricultural Science and Engineering 2023年第2期10卷 155-166页

作者： Jinyang WANG Pinshang XU Haiyan LIN Shumin GUO Zhaoqiang HAN Jianwen ZOU Key Laboratory of Green and Low-carbon Agriculture in Southeastern China Ministry of Agriculture and Rural AffairsCollege of Resources and Environmental SciencesNanjing Agricultural UniversityNanjing 210095China Jiangsu Key Laboratory of Low Carbon Agriculture and GHGs Mitigation Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource UtilizationNanjing 210095China.

Nitrogen fertilizer application has accelerated the agricultural soil N cycle while ensuring food *** reactive N emissions from orchards,vegetables and tea plantations(OVT)are less understood than those from cereal *** paper presents a compilation of data on soil ammonia,nitrous oxide,and nitric oxide emissions from 1454 OVT systems at 184 unique experimental locations worldwide aiming to investigate their emission characteristics,emission factors(EF),and contribution to total farmland ***_(3)and N_(2)O emissions from orchards and N_(2)O and NO emissions from vegetable production were significantly higher in China than in the rest of the world,regardless of fertilizer application,while N_(2)O emissions from tea plantations were lower than for *** EF of NH_(3)for vegetables was close to the global mean value with urea application but significantly higher than that of *** EF of N_(2)O in orchards and vegetables was comparable to the global median value,while in tea plantations,the value was 2.3 times higher than the global median *** estimates suggest that direct emissions of NH_(3),N_(2)O,and NO from OVT systems are equivalent to approximately a quarter,two thirds and a half of the total farmland in China,*** research needs to strengthen observational field studies in establishing standard sampling methods for gaseous N emissions and implementing knowledge-based management measures to help achieve the green development of agriculture.

关键词： fruit greenhouse gas green development fertilizer management climate change

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Planting Techniques of Pennisetum giganteum in Huanghuai Area

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Agricultural Biotechnology 2021年第1期10卷 42-43,58页

作者： Jiancheng DING Guiying SHI Xin ZHAO Qiguang ZHAO School of Horticulture Gansu Agricultural UniversityLanzhou 730070China Chuanhui District Vegetable Science Research Institute Zhoukou 466000China

Pennisetum giganteum z. x. lin selected by the National Juncao Center is a high-yielding and high-quality Juncao variety. It is a high-quality horticultural variety that grows upright, and has tall plants with high yield and high value. Planting should be carried out in the right time to ensure the quality of planting and promote the seedlings to be tidy and strong, and according to the row spacing of 80 cm, plant spacing of 40 cm, 2 plants per hole, about 2 000 holes per 667 m2, with the need for furrowing. At the seedling stage, the soil should be kept moist, and watered in time when it is dry and lacking water. P. giganteum is fertilizer-tolerant and sensitive to fertilizers, and requires a reasonable and economical amount of fertilizer.

关键词： Node section cutting Transplanting Water management fertilizer management Reaping

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Effect of fertilizer on soil aggregate size distribution and soil organic carbon in water stable aggregate in China: a Meta analysis

Effect of fertilizer on soil aggregate size distribution and...

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2019年中国作物学会学术年会

作者：段雅欣禄兴丽 College of Agronomy Ningxia University

[Background] There has been an increased interest in the potentials of soil carbon(C) sequestration in agricultural fields with the increasing interests on climate change. The quantity and stabilization mechanisms of soil organic carbon(SOC) related to soil aggregates are influenced by fertilizer practices. A better understanding of soil carbon(C) distribution within aggregate fractions under different fertilizer types is essential for sustaining productivity and protecting the environment. [Material and Methods] A meta-analysis was conducted on 419 comparisons between fertilizer and no fertilizer(CK) treatments. [Results] The results showed that fertilizer treatment significantly(Pfertilizer treatment significantly increased soil organic carbon content in aggregate at different magnitude in comparison with CK. The magnitude of increasing of soil organic carbon in macro-aggregate was higher in organic fertilizer than in inorganic fertilizer and organic combined with inorganic fertilizer treatments. Similarly, as compared with CK, organic fertilizer and organic combined with inorganic fertilizer treatments significantly(Pfertilizer also significantly increased organic carbon content in silt clay fraction by 46.8% when compared to CK treatment. Our results indicated that organic combined with inorganic fertilizer could significantly increased soil organic carbon at different magnitude in related to CK treatment. However, no difference in organic carbon from bulk soil was found between fertilizer and no fertilizer treatments. As compared with CK, organic fertilizer, inorganic fertilizer and organic combined with inorganic fertilizer significantly increased soil organic carbon storage by 41.3%, 23.8% and 34.2%, respectively. In contrast to earlier

关键词： fertilizer management organic fertilizer soil aggregates distribution organic carbon storage Meta analysis

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