scholarly journals KEANEKARAGAMAN ORGANISME PADA RHIZOSFER GULMA SIAM DI LAHAN VULKANIK, PESISIR, DAN KARST

2021 ◽  
Vol 26 (1) ◽  
pp. 1-16
Author(s):  
Tien Aminatun ◽  
Siti Umniyatie ◽  
Anna Rakhmawati ◽  
Aji Suhandy ◽  
Nrangwesthi Widyaningrum ◽  
...  
Keyword(s):  
Coastal Area ◽  
Soil Nutrient ◽  
Nutrient Content ◽  
Karst Area ◽  
Soil Organisms ◽  
Soil Organism ◽  
P Content ◽  
Soil Nutrient Content ◽  
The Relationship ◽  
Special Region

Penelitian ini bertujuan untuk membandingkan kondisi edafik, hubungan antara kondisi edafik dan keanekaragaman organisme tanah, serta perbedaan keanekaragaman organisme tanah pada berbagai ekosistem rhizosfer gulma Siam (Chromolaena odorata) yang tumbuh di lahan vulkanik, pesisir, dan karst. Penelitian dilakukan dengan mengambil sampel tanah dari ekosistem rhizosfer gulma Siam di lahan vulkanik, karst, dan pesisir Daerah Istimewa Yogyakarta; mengamati komposisi organisme tanah di laboratorium, yaitu collembola, nematoda, dan mikoriza. Hasil penelitian menunjukkan bahwa tanah pada rhizosfer gulma Siam yang tumbuh di lahan karst menunjukkan tingkat kesuburan tertinggi yang ditunjukkan oleh kandungan N, K, dan C-organik tanah, sedangkan tanah pesisir memiliki kandungan P tertinggi. Tekstur tanah pada rhizosfer gulma Siam lebih berpengaruh terhadap keanekaragaman organisme tanah dibandingkan kandungan hara tanah dan sifat tanah lainnya yang diteliti. Keragaman organisme tanah rhizosfer gulma Siam lebih besar di lahan pesisir dibandingkan di lahan karst dan vulkanik. Implikasi dari hasil tersebut adalah bahwa tanah dengan tekstur berpasir akan lebih bermanfaat bagi pertumbuhan gulma Siam dengan keanekaragaman organisme rhizosfer yang lebih tinggi.ORGANISM DIVERSITY IN THE RHIZOSPHERE OF SIAM WEEDS IN VOLCANIC, COASTAL AND KARST LANDThe research aims to compare the edaphic condition, the relationship between the edaphic condition and soil organism diversity, and the differences of soil organism diversity in different rhizosphere ecosystems of Siam weed growing in volcanic, coastal and karts areas. The research was conducted by taking soil samples from the Siam weed rhizosphere ecosystems in volcanic, karst and coastal areas of the Special Region of Yogyakarta and observing the composition of the soil organisms in the laboratory, including collembola, nematode, and mycorrhiza. The results find that soil from rhizosphere of Siam weed growing in karst area shows the highest level of fertility indicated by the N, K, and C-organic contents of the soil, whereas soil from coastal area has the highest P content. Soil texture in the rhizosphere of Siam weed has more effect on the diversity of soil organisms than the soil nutrient content and other soil properties investigated. The diversity of soil organisms of Siam weed rhizosphere is greater in coastal area than those in karst and volcanic areas. The implication of the results is that soil with a sandy texture will be more beneficial for the growth of Siam weed with a higher diversity of rhizosphere organisms

Study on the Relationship between Soil Nutrients and the Corn Yield Based on Grey System Theory

2015 ◽  
Vol 733 ◽  
pp. 391-394
Author(s):  
Xing Mei Xu ◽  
Li Ying Cao ◽  
Jing Zhou
Keyword(s):  
System Theory ◽  
Soil Nutrient ◽  
Nutrient Content ◽  
Grey System Theory ◽  
Available Phosphorus ◽  
Corn Yield ◽  
Grey System ◽  
Correlation Degree ◽  
Soil Nutrient Content ◽  
The Relationship

Take the test zone 110 sampling plots of soil nutrient content as the research data, to study the correlation between the soil nutrient content and the corn yield. It used the grey system theory to analysis the correlation between the content of soil nutrient, and established GM (1, N) prediction model. Soil nutrient correlation degree analysis showed that the correlation coefficient of available phosphorus and available potassium were 0.4742, 0.4492, it has a significant effect on the corn yield, the average prediction error of the GM (1, N) model was 7.38%. The model reflected the relationship between soil nutrient content and the corn yield well; it can be used to predict the yield test area.

scholarly journals Estimation of Soil Nutrient Content Using Hyperspectral Data

Agriculture ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1129
Author(s):  
Yiping Peng ◽  
Lu Wang ◽  
Li Zhao ◽  
Zhenhua Liu ◽  
Chenjie Lin ◽  
...  
Keyword(s):  
Least Squares ◽  
Soil Nutrients ◽  
Cross Validation ◽  
Regional Scale ◽  
Soil Nutrient ◽  
Nutrient Content ◽  
New Method ◽  
Accurate Estimation ◽  
Support Vector ◽  
Soil Nutrient Content

Soil nutrients play a vital role in plant growth and thus the rapid acquisition of soil nutrient content is of great significance for agricultural sustainable development. Hyperspectral remote-sensing techniques allow for the quick monitoring of soil nutrients. However, at present, obtaining accurate estimates proves to be difficult due to the weak spectral features of soil nutrients and the low accuracy of soil nutrient estimation models. This study proposed a new method to improve soil nutrient estimation. Firstly, for obtaining characteristic variables, we employed partial least squares regression (PLSR) fit degree to select an optimal screening algorithm from three algorithms (Pearson correlation coefficient, PCC; least absolute shrinkage and selection operator, LASSO; and gradient boosting decision tree, GBDT). Secondly, linear (multi-linear regression, MLR; ridge regression, RR) and nonlinear (support vector machine, SVM; and back propagation neural network with genetic algorithm optimization, GABP) algorithms with 10-fold cross-validation were implemented to determine the most accurate model for estimating soil total nitrogen (TN), total phosphorus (TP), and total potassium (TK) contents. Finally, the new method was used to map the soil TK content at a regional scale using the soil component spectral variables retrieved by the fully constrained least squares (FCLS) method based on an image from the HuanJing-1A Hyperspectral Imager (HJ-1A HSI) of the Conghua District of Guangzhou, China. The results identified the GBDT-GABP was observed as the most accurate estimation method of soil TN ( of 0.69, the root mean square error of cross-validation (RMSECV) of 0.35 g kg−1 and ratio of performance to interquartile range (RPIQ) of 2.03) and TP ( of 0.73, RMSECV of 0.30 g kg−1 and RPIQ = 2.10), and the LASSO-GABP proved to be optimal for soil TK estimations ( of 0.82, RMSECV of 3.39 g kg−1 and RPIQ = 3.57). Additionally, the highly accurate LASSO-GABP-estimated soil TK (R2 = 0.79) reveals the feasibility of the LASSO-GABP method to retrieve soil TK content at the regional scale.

scholarly journals EVALUASI TERHADAP PERUBAHAN STATUS BEBERAPA HARA TANAH SETELAH 10 TAHUN DI BUKIT GAJABUIH PADANG

Jurnal Solum ◽  
2008 ◽  
Vol 5 (1) ◽  
pp. 23
Author(s):  
Hermansah Hermansah ◽  
Juniarti Juniarti ◽  
Utami Maya Pribadi
Keyword(s):  
Soil Nutrients ◽  
Rain Forest ◽  
Tropical Rain Forest ◽  
Soil Nutrient ◽  
Nutrient Status ◽  
The Other ◽  
Experimental Plot ◽  
Soil Nutrient Status ◽  
P Content ◽  
The Relationship

This experiment is about the evaluation of characteristic alteration of soil nutrients after ten years at tropical rain forest Bukit Gajabuih Gunung Gadut Padang. This experiment was conducted from November 2006 - April 2007.  This experiment is arranged based on anova design with three treatments which was based on three great groups of land ( oxic-dystroudept (eutriccc, aquic), oxic-dystroudept (xanthic), oxic-typic-dystroudept (xanthic)).  The purpose of this experiment was to study the alteration of soil fertility characteristics  (K, Ca, Mg, Na, P and C/N) in ten years period (1995-2005) in tropical rain forest at Bukit Gajabuih Padang, to observe vegetation variety alteration, and the relationship with the land fertility characteristics.  From the experiment was found that nutrient status of the soils altered after ten years (*1995-2005).  Available P content increased about 77%, exchangeable Na and K  increased 86,04% and 53.65%, respectively.  On the other hand, exchangeable Mg and Ca decreased 3,05% and 65,88%, respectively.  Land C/N ratio decreased about 21,39%. The experimental plot had low soil pH.Key Words: tropical rain forest, soil nutrient status

Study on the Relationship between Soil Nutrient and Yield Analysis Based on Bivariate Correlation between

2014 ◽  
Vol 998-999 ◽  
pp. 1466-1469
Author(s):  
Li Ying Cao ◽  
Xiao Xian Zhang ◽  
Yue Ling Zhao ◽  
Gui Fen Chen
Keyword(s):  
Soil Nutrient ◽  
Nutrient Content ◽  
Maize Yield ◽  
Nutrient Level ◽  
Corn Yield ◽  
Yield Analysis ◽  
Bivariate Correlation ◽  
Plot Yield ◽  
The Relationship ◽  
Nitrogen Phosphorus

Soil nutrient level is an important factor affecting the yield of corn, to find out the effect of nitrogen, phosphorus, potassium on maize yield, analysis of bivariate correlation in SPSS based on the relationship between nutrient content, nitrogen, phosphorus, potassium in the plot and each plot yield directly was analyzed, the experimental results show that it doesn't matter: P, K and the yield of corn, corn yield and nitrogen related.

scholarly journals Effects of Two Trichoderma Strains on Plant Growth, Rhizosphere Soil Nutrients, and Fungal Community of Pinus sylvestris var. mongolica Annual Seedlings

Forests ◽  
2019 ◽  
Vol 10 (9) ◽  
pp. 758 ◽  
Author(s):  
Saiyaremu Halifu ◽  
Xun Deng ◽  
Xiaoshuang Song ◽  
Ruiqing Song
Keyword(s):  
Enzyme Activity ◽  
Community Structure ◽  
Plant Growth ◽  
Soil Nutrients ◽  
Fungal Community ◽  
Rhizosphere Soil ◽  
Soil Nutrient ◽  
Nutrient Content ◽  
Root Structure ◽  
Soil Nutrient Content

Trichoderma spp. are proposed as major plant growth-promoting fungi that widely exist in the natural environment. These strains have the abilities of rapid growth and reproduction and efficient transformation of soil nutrients. Moreover, they can change the plant rhizosphere soil environment and promote plant growth. Pinus sylvestris var. mongolica has the characteristics of strong drought resistance and fast growth and plays an important role in ecological construction and environmental restoration. The effects on the growth of annual seedlings, root structure, rhizosphere soil nutrients, enzyme activity, and fungal community structure of P. sylvestris var. mongolica were studied after inoculation with Trichoderma harzianum E15 and Trichoderma virens ZT05, separately. The results showed that after inoculation with T. harzianum E15 and T. virens ZT05, seedling biomass, root structure index, soil nutrients, and soil enzyme activity were significantly increased compared with the control (p < 0.05). There were significant differences in the effects of T. harzianum E15 and T. virens ZT05 inoculation on the growth and rhizosphere soil nutrient of P. sylvestris var. mongolica (p < 0.05). For the E15 treatment, the seedling height, ground diameter, and total biomass of seedlings were higher than that those of the ZT05 treatment, and the rhizosphere soil nutrient content and enzyme activity of the ZT05 treatment were higher than that of the E15 treatment. The results of alpha and beta diversity analyses showed that the fungi community structure of rhizosphere soil was significantly different (p < 0.05) among the three treatments (inoculated with T. harzianum E15, T. virens ZT05, and not inoculated with Trichoderma). Overall, Trichoderma inoculation was correlated with the change of rhizosphere soil nutrient content.

scholarly journals Soil Nutrient Content Influences the Abundance of Soil Microbes but Not Plant Biomass at the Small-Scale

PLoS ONE ◽  
2014 ◽  
Vol 9 (3) ◽  
pp. e91998 ◽  
Author(s):  
Kadri Koorem ◽  
Antonio Gazol ◽  
Maarja Öpik ◽  
Mari Moora ◽  
Ülle Saks ◽  
...  
Keyword(s):  
Soil Microbes ◽  
Plant Biomass ◽  
Soil Nutrient ◽  
Nutrient Content ◽  
Small Scale ◽  
Soil Nutrient Content

AGRO SENSORS

2015 ◽  
Vol 3 (4) ◽  
pp. 325-327
Author(s):  
M.R Suja Barathi
Keyword(s):  
Soil Nutrient ◽  
Nutrient Content ◽  
Feedback Mechanism ◽  
Reference Voltage ◽  
Common Input ◽  
Current Output ◽  
Soil Nutrient Content ◽  
The Common ◽  
Effect Transistor ◽  
Resistance Value

Soil nutrient is detected by the use of ISFETs and the corresponding current is obtained from it according to the variation in concentration of the nutrient in soil and their pH. The use of metal oxide coated semiconductors for gas detection is high nowadays. The Ion sensitive field effect transistor has the electrode. This on reaction with the analyst changes its resistance value and corresponding signals are generated and the transducer unit in the sensor gives the varying current output. This could be then processed that is converted to voltage, amplified and then given to a window detector where in the voltage obtained from the sensor could be tested for it be in between two reference voltage levels and these reference voltage levels represent the level of nutrients in the soil either it is deficient, in surplus or in sufficient amounts. This could be used to make the LEDs glow. It proves to be an easy way of observing the soil nutrient content even by an illiterate. The checking of soil nutrient content could be automated and made periodic by the use of microcontroller, the feedback mechanism involving the soil’s nutrient content value as the common input and the ideal or required value as the reference input.

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