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Copyright of Mycosystema is the property of Mycosystema Editorial Board and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Rural Water & Hydropower is the property of China Rural Water & Hydropower Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Irrigation & Drainage is the property of Journal of Irrigation & Drainage Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Ecological Science is the property of Ecological Science Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Henan Agricultural Sciences is the property of Editorial Board of Journal of Henan Agricultural Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Biotechnology Bulletin is the property of Biotechnology Bulletin Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Dynamic monitoring and quantitative estimation of forage crop growth are of great importance to the large-scale pro‐ duction of forage crop. UAV remote sensing has the advantages of high resolution, strong flexibility and low cost. In recent years, it has developed rapidly in the field of forage crop growth monitoring. In order to clarify the development status of forage crop growth monitoring and find the development direction, first, methods of UAV crop remote sensing monitoring were briefly described from two aspects of data acquisition and processing. Second, three key technologies of forage crop including canopy information extraction, spectral feature optimization and forage biomass estimation were described. Then the development trend of related research in recent years was analyzed, and it was pointed out that the number of papers published on UAV remote sensing forage crop monitoring showed an overall trend of rapidly increasing. With the rapid development of computer information technology and remote sensing technology, the application potential of UAV in the field of forage crop monitoring has been fully explored. Then, the research progress of UAV remote sensing in forage crop growth monitoring was described in five parts according to sensor types, i.e., visible, multispectral, hyperspectral, thermal infrared and LiDAR, and the research of each type of sensor were summarized and reviewed, pointing out that the current researches of hyperspectral, thermal infrared and LiDAR sensors in forage crop monitoring were less than that of visible and multispectral sensors. Finally, the future development directions were clarified according to the key technical problems that have not been solved in the research and application of UAV re‐ mote sensing forage crop growth monitoring: (1) Build a multi-temporal growth monitoring model based on the characteristics of different growth stages and different growth years of forage crops, carry out UAV remote sensing monitoring of forage crops around representative research areas to further improve the scope of application of the model. (2) Establish a multi-source data‐ base of UAV remote sensing, and carry out integrated collaborative monitoring combined with satellite remote sensing data, historical yield, soil conductivity and other data. (3) Develop an intelligent and user-friendly UAV remote sensing data analysis system, and shorten the data processing time through 5G communication network and edge computing devices. This paper could provide relevant technical references and directional guidelines for researchers in the field of forage crops and further promote the application and development of precision agriculture technology. [ABSTRACT FROM AUTHOR]

Because the karst critical zone is an important part of the Earth Critical Zone system, the vegetation in karst area is an important carbon sink of terrestrial ecosystem, and the aboveground part of the vegetation in the karst area sequestrates carbon through plant growth, the carbon storage in the underground part is also very considerable, the growth of underground biomass and decomposition of litter also increase soil organic carbon and inorganic carbon content. Therefore, vegetation carbon cycle in karst area is one of the hotspots of karst carbon sink research. Based on the reviewing of research literature on carbon sequestration of karst vegetation in the past 40 years, this paper expounds the unique physiological characteristics of karst vegetation in Southwest China, and focuses on the following four aspects; (1) Evaluation of vegetation biomass, productivity and carbon storage in karst area of Southwest China; (2) Temporal and spatial variation patterns of vegetation and carbon source and sink effect in karst area of Southwest China; (3) Special mechanism of vegetation carbon utilization in karst area; (4) Prediction of vegetation carbon cycle model and carbon sink potential in karst area. The problems existing in the current research am put forward, and the future research direction is prospected. It is proposed that the future research should be carried out in the aspects of systematic determination of relevant parameters and mechanism process of vegetation carbon cycle in karst area, fine identification of vegetation landscape types in southwest karst area, quantification of carbon sequestration process, and correction and modification of karst vegetation carbon cycle model. This paper provides a reference for in-depth understanding the temporal and spatial evolution of carbon cycle in karst region and for exploring regional carbon cycle mechanism. [ABSTRACT FROM AUTHOR]

Copyright of Transactions of the Chinese Society of Agricultural Engineering is the property of Chinese Society of Agricultural Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Irrigation & Drainage is the property of Journal of Irrigation & Drainage Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Environmental Science & Technology (10036504) is the property of Editorial Board of Environmental Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Transactions of the Chinese Society of Agricultural Engineering is the property of Chinese Society of Agricultural Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Northwest A & F University - Natural Science Edition is the property of Editorial Department of Journal of Northwest A&F University (Natural Science Edition) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Transactions of the Chinese Society of Agricultural Engineering is the property of Chinese Society of Agricultural Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Taking Landsat8 OLI（operational land imager）as the remote sensing data source, the secondary survey of forest resources and the census of geographical conditions as the main supplementary data, this paper carries out the inversion and estimation of aboveground biomass (AGB).Taking the natural forest in Jinzhai county, Anhui province as the research object, the quantitative inversion model of AGB is established by calculating the spectral, texture and topographic features of Landsat8 OLI covering the study area.By using the second class survey of forest resources, the general survey of geographical conditions and field survey data, the influence of different features on AGB estimation is analyzed.Experimental results show that the relative error between the measured value and the estimated value of the optimal inversion model is 0.708 718 and root mean square error is 1.318 983 based on the forest aboveground biomass obtained by the method adopted in this paper. According to the model, the total biomass of Jinzhai county is 4 723 728 530 t, and the results are in line with the actual situation.The quantitative inversion of AGB and the land method adopted in this study are available for large-scale monitoring of forest resources. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Agricultural Resources & Environment / Nongye Ziyuan yu Huanjing Xuebao is the property of Journal of Agricultural Resources & Environment Editorial Board and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Agricultural Science & Technology (1008-0864) is the property of Journal of Agricultural Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Food Research & Development is the property of Food Research & Development Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Forest is a major carbon pool for terrestrial ecosystems, and it plays a very important role in global carbon cycle. Forest biomass is a key factor in estimating forest carbon storage, and its magnitude and spatial distribution are important parameters for assessing carbon sequestration potential of forest ecosystems. Scholars in the field have used different methods to study many aspects of forest biomass in China. Due to the spatial heterogeneity of forest biomass and differences in research methods and data, different scholars got different results. Three traditional methods have been used in biomass research: on- the- spot sampling, model method and remote sensing. Currently, statistical downscaling technique is a statistical method widely used in the study of ecosystem carbon cycle which transforms large- scale, lowresolution information into regional-scale, high-resolution information. This paper is based on the eighth China forest inventory data set, along with the impact factors of forest biomass, including the vegetation factor (NDVI), climatic factors (temperature, precipitation), and terrain factors (elevation, slope). We quantitatively estimate the forest biomass (1 km resolution) using the spatial downscaling technique, and the results of the study are verified on multiple scales. The results of this study are as follows: 1) The total stock of forest biomass is 13.56 Pg in China, with an average biomass of 65.3 t/hm2. The total amount of forest biomass is quite different in different provinces. The provinces with higher volume are concentrated in the southwest and the northeast, and the maximum biomass is 4.5 Pg in the southwest, accounting for 33% of the total biomass in China. The forest biomass is 3.58 Pg in the northeast, accounting for 26% of the total biomass in China. 2) The regression relationship between forest biomass and related factors at the provincial scale can be used for the estimation of forest biomass at the grid scale by downscaling technique, and the multi- scale verification analysis shows that the estimation results are reasonable. 3) The spatial pattern of forest biomass is consistent with the spatial distribution of hydrothermal condition. Taking the line from the northeast to the southwest as the boundary, China's biomass is primarily in the Da Xing'an Mountains, Xiao Xing'an Mountains and Changbai Mountain in the Northeast China, the Hengduan Mountains in the Southwest China, the Qinling Mountains, and the Wuyi Mountains in the Southeast China. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Natural Resources / Ziran Ziyuan Xuebao is the property of Journal of Natural Resources and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Agricultural Science & Technology (1008-0864) is the property of Journal of Agricultural Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Transactions of the Chinese Society of Agricultural Engineering is the property of Chinese Society of Agricultural Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Shenyang Agricultural University is the property of Journal of Shenyang Agricultural University Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Xinjiang Agricultural Sciences is the property of Xinjiang Agricultural Sciences Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Arid Zone Research / Ganhanqu Yanjiu is the property of Arid Zone Research Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Agricultural Science & Technology (1008-0864) is the property of Journal of Agricultural Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

【Objective】This paper aims to select turf grass cultivars suitable for vegetation restoration in Guizhou mercury mine wasteland and mercury pollution environment.【Method】Four turfgrass cultivars suiting southern China, including Motor, Feast, Pernille, and Legend, were selected as the experimental materials. The seed germination test and soil culture test under different concentration of Hg2+ stress were conducted to explore the seed germination and seedling growth of four cultivars.【Result】With Hg2+concentration increasing, the germination rate,germination potential,germination index and vigor index of the four cultivars were obviously inhibited. The tolerance limit of Feast and Motor was 120 mg/L; In the range of experimental treatment, the seed germination rate of the four cultivars was Pernille>Legend>Feast>Motor. The growth of the four cultivars was inhibited by high Hg2+ concentration, and the survival rate of the four cultivars decreased with the Hg2+ increasing. When the concentration of Hg2+ reached 100 mg/kg,the survival rate of the four cultivars was Feast>Pernille>Legend >Motor.【Conclusion】In the range of experiment,the comprehensive growth of Feast under Hg2+stress was the best. However, Feast showed stronger enrichment ability in mercury-containing 25 mg/kg soil, which was suitable for restoration of low-mercury soil and establishment of lawn, Legend had the strongest ability to enrich mercury in mercury-containing 50 and 100 mg/kg soil, which was suitable for restoration of high-mercury soil and establishment of lawn. [ABSTRACT FROM AUTHOR]

Copyright of Acta Agronomica Sinica is the property of Crop Science Society of China and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Agricultural Science & Technology (1008-0864) is the property of Journal of Agricultural Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

[Objective] This paper aimed to analyze the dynamic law of temperate desert grassland in Kashgar. [Method] Based on grassland types in Xinjiang Uygur Autonomous Region and the field investigation data of 19 sampling sites in the temperate desert grassland of Kashgar region, and the dynamic law of temperate desert grassland in Kashgar was analyzed. [Result] The spatial distribution of temperate desert grassland biomass per unit area in Kashgar area had a high degree of heterogeneity, and the total biomass ranged from 83. 63 -4782.79 g · m-2, with an average of 1123. 14 g · m-2 ; The aboveground biomass was dominated by shrubs, the herbaceous biomass increased significantly with elevation (P < 0.05) , shrub biomass and aboveground biomass decreased significantly with elevation (P < 0.05) , and die biomass and underground biomass in the altitude was not relevant; The biomass had a certain regularity in longitude and latitude, but there was no significant correlation (P > 0.05) ; The rootshoot ratio of temperate desert grassland in Kashi area was relatively large, shrub NPP accounted for 62. 92 % of the total, both grassland biomass and NPP had a significant correlation with precipitation (P < 0. 05) , but the correlation between NPP and temperature was not significant (P > 0.05). Precipitation was an important factor affecting biomass distribution of temperate deseil grassland in Kashgar area. [Conclusion]The biomass dynamic distribution of temperate desert grassland was affected by latitude and longitude, altitude gradient and precipitation to some extent in Kashgar region. [ABSTRACT FROM AUTHOR]

【Objective】 Nitraria tangutorum is an excellent shrub for windbreak and sand fixation in the Jilantai salt lake region. As a result of the combined effects of various factors and some of the phenomena of growth and degeneration, this paper aimed to protect Nitraria tangutorum and promote its growth and regeneration. 【Method】 Using comparative tests, the effects of flat stubble on the growth index, biomass accumulation, chlorophyll content and soil water content of Nitraria tangutorum were studied. 【Result】 (i) After a growth season, Nitraria tangutorum respectively grew 27. 42 %, 85. 71 %, 98. 81 %, 18. 71 %, 46. 12 % and 158. 77 % of plant height, number of new shoots, length, diameter, and width of upper and lower leaves of new shoots.(ii) After the flat stubble of Nitraria tangutorum, the biomass of shoots, roots and leaves increased between 18. 96 % and 49. 31 %, which indicated that artificial flat stubble promoted the accumulation of Nitraria tangutorum biomass. (iii) After comparison, the soil moisture content under control plot was higher than that in the cut woodland, which ranged from 8. 93 % to 77. 05 %, which indicated that the water retention performance of the the windward slope was stronger than that of the leeward slope; In addition, after Nitraria tangutorum stubbling, the root absorbed the soil moisture from depth to shallow.(iv)With stubbling measures, the chlorophyll content of the leaves of Nitraria tangutorum was significantly higher than that of the leeward slope, and the chlorophyll content in the upper and lower leaves of the windward slope was 11. 55 % and 8. 10 %.(v) Correlation analysis showed that in the first growth season, stubble control measures could effectively promote the regeneration of Nitraria tangutorum. 【Conclusion】 Artificial stubble promoted the renewal and rejuvenation of Nitraria tangutorum, at the same time and reduced the water consumption of Nitraria tangutorum. [ABSTRACT FROM AUTHOR]

【Objective】 This paper aimed to illuminate the interaction effects of genotype and soil moisture on sugarcane biomass and provide foundation for sugarcane breeding on drought resistance. 【Method】Under the condition of moderate water stress, a pot experiment of different drought levels was carried out on nine sugarcane germplasm clones. The main traits including biomass, water use efficiency(WUE), leaf chlorophyll relative content(SPAD), leaf area and root shoot ratio were studied.【Result】Firstly, the biomass was significantly positive correlation with water amount and the correlation coefficient was 0.947, and the difference of biomass and WUE between differently genotypes of sugarcane reached extremely significant level(P < 0.001). Secondly, the clone of Uba had the largest loss of biomass due to drought and two clones of Saccharum Spontaneum performed higher WUE levels with 6.97 and 6.84 g/L respectively. Thirdly, the root-shoot ratio of sugarcane germplasms under water stress was significantly higher than that of irrigation(P = 0.042); SPAD value was extremely significant positive correlation with biomass, and the correlation coefficient was 0.476, and its mean value significant fell to 33.9 from 46.4 along with the increasing degree of water stress. Fourthly, the broad-sense heritability of SPAD were greater than 0.5 since Step 2, both in irrigation and water stress treatments(soil volumetric water content of 80% or less). 【Conclusion】 Under water stress, sugarcane germplasms tended to change the biomass partitioning ratio by increasing the transfer of photosynthetic products from the ground to the underground part, in other words to adapt water stress by changing the root-shoot ratio. The responses of different genotypes on water stress generally showed consistent trends of biomass reduction, but the WUE was no significant difference. The trait of SPAD could be used as one of drought evaluation indexes for selecting elite clone from sugarcane germplasms in early stage of breeding programs. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Agro-Environment Science is the property of Journal of Agro-Environment Science Editorial Board and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Chinese Journal of Applied Ecology / Yingyong Shengtai Xuebao is the property of Chinese Journal of Applied Ecology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Chinese Journal of Applied Ecology / Yingyong Shengtai Xuebao is the property of Chinese Journal of Applied Ecology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Agricultural Science & Technology (1008-0864) is the property of Journal of Agricultural Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Biomass is one of important agricultural crop parameters, and has significant meanings in agriculture production management and decision-making. The estimated of biomass by remote sensing is of great importance for the real-time and dynamic crop information and can be acquired by remote sensing detection technology. The random forest algorithm (RF), from which machine learning is used, shows considerable potential for estimated crop parameters. However, there has been little study on estimation of crop parameters by RF model, especially using a combined of optical and SAR Data. In this study, we focused on analyzing different RF models data selection impact on the accuracy of estimation winter wheat biomass using spectral reflectance, radar backscatter, spectral Vis (Vegetation Indices) and radar Vis. In this paper, RF model, optical and SAR data were used to estimate the biomass of winter wheat. The objective of the study was to demonstrate the feasibility of random forest algorithm for monitoring on winter wheat biomass, meanwhile, the method of remote sensing data selection was compared. In the most important winter wheat producing region in China, Guanzhong plain, field experiments were carried out in Yangling district, Shannxi province. The synchronous RADARSAT-2 SAR data and GF1-WFV multiple spectral data which were close to the sampling time were obtained as the remote sensing data in this experiment. Firstly, the biomass of winter wheat at elongation, heading and filling stage were measured. Remote sensing data were pretreated as spectral reflectance, radar backscatter, spectral Vis and radar Vis. Then, the correlation coefficient analysis (r), the importance of out-of-bag data (OOB) and grey relational analysis (GRA) were used in the study. According to the above three analysis methods to select the data, and the input data were sorted according to the analysis results. Three models served for biomass estimation of winter biomass based on random forest algorithm: r-BF, OOB-RF and GRA-RF. The three models were validated using the in situ measured data, and 17 experiments of each model were designed to verify the accuracy of the model changes. As accurate valuation methods, the determination coefficients (R2), the corresponding mean absolute errors (MAE) and the root mean square errors (RMSE) for estimated biomass were calculated respectively with the measured data. The r-RF (R2=0.70, MAE=0.162 kg/m2, RMSE=0.218 kg/m2) and OOB-RF (R2=0.70, MAE=0.164 kg/m2, RMSE=0.221 kg/m2) models achieved similarly very high accuracy, and the accuracy increased with the increase of the input variables, and then decreased. GRA-RF (R2=0.65, MAE=0.172 kg/m2, RMSE=0.236 kg/m2) model was worse than the previous two, the r-RF and OOB-RF showed a more robust predictive ability than GRA-RF model. Most importantly, the results indicated that it is necessary to select the appropriate data inputs to increase the accuracy of the RF model, rather than the input of many vegetation indices. The potential of random forest algorithm to estimate the biomass of winter wheat was show in this research. Our results indicated that the RF could be used to robustly estimate winter wheat biomass. This study may provide a guideline for improving the estimations of biomass of winter wheat using RF model. [ABSTRACT FROM AUTHOR]

[Objectives] The paper aims to explore the effect of interaction roots on soybean and maize’s absorption and utilization of nitrogen and phosphorus,to provide the basis for high-qualit and high-yield crops.[Methods] Through hydroponic experiment, this study implemented the interaction effect of root,with three treatments:monoculture maize, monoculture soybean,maize and soybean intercropping.According to the processing after 13,31, 45 and 57 d sampling analysis, root,stem and leaf were separated, and then the crush was dried to measure the nitrogen and phosphorus, with molybdenum antimony colorimetric method.[Results] Root interactions improved nitrogen and phosphorus accumulation of the maize organs and aboveground, howere, nitrogen and phosphorus accumulation of soybean organs and aboveground showed root interaction as disadvantage. Compared with the monoculture, nitrogen accumulation of aboveground interplanting maize after processing 13,31 d incresded by 224.6% and 24.0%(P<0.05), respectively, but in the later stage,it was lower than monoculture. After treatment of 13, 45 d,compared with monoculture, the phosphorus accumulation of maize with interplanting increased by 145.8% and 46.4%,respectively(P<0.05).Compared with monoculture,after treatment of 13,45,57 d,nitrogen accumulation of aboveground soybean interplanting was reduced by 47.5%,34.9%,46.0%(P<0.05)respectively,after treatment of 13,31,45,57 d, phosphorus accumulation of aboveground interplanting soybean reduced by 17.5%,24.9%,14.5%,40.1% respectively(P<0.05).[Conclusions] Root interactions improve organs and nitrogen and phosphorus accumulation of aboveground with maize. Therefore, maze and soybean intercropping system has obvious advantages in nitrogen and phosphorus absorption and utilization. [ABSTRACT FROM AUTHOR]

Biomass accumulation and nutrient allocation of Paris polyphylla var. yunnanensis of different propagating methods and different growth years were studied in the present paper. The results showed that the biomass values of 1-8 years Paris polyphylla var. yunnanensis by sexual and asexual propagating methods were increased with the age, without the highest peak. The order of vegetative organs ranked by dry matter content and nutrient partitioning was as follows: rhizome ﹥ leaf ﹥ stem ﹥ root. Biomass accumulations of rhizome and the whole plant could be divided into three stages: slow phase, rapid phase, acceleratory phase. Biomass accumulations of leaf and stem could be divided into slow phase, rapid phase, steady phase. [ABSTRACT FROM AUTHOR]

Copyright of Mycosystema is the property of Mycosystema Editorial Board and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Forest Research is the property of Forest Research Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of South China Agricultural University is the property of Gai Kan Bian Wei Hui and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Mycosystema is the property of Mycosystema Editorial Board and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)