Effects of soil flooding and organic matter addition on plant accessible phosphorus in a tropical paddy soil: an isotope dilution study

2016 ◽  
Vol 179 (6) ◽  
pp. 765-774 ◽  
Author(s):  
Tovohery Rakotoson ◽  
Lilia Rabeharisoa ◽  
Erik Smolders
Keyword(s):  
Organic Matter ◽  
Isotope Dilution ◽  
Paddy Soil ◽  
Soil Flooding ◽  
Organic Matter Addition

scholarly journals Effect of Digestate and Straw Combined Application on Maintaining Rice Production and Paddy Environment

2021 ◽  
Vol 18 (11) ◽  
pp. 5714
Author(s):  
Xue Hu ◽  
Hongyi Liu ◽  
Chengyu Xu ◽  
Xiaomin Huang ◽  
Min Jiang ◽  
...  
Keyword(s):  
Organic Matter ◽  
Surface Water ◽  
Soil Organic Matter ◽  
Paddy Soil ◽  
Rice Yield ◽  
Soil Surface ◽  
Rice Production ◽  
Straw Decomposition ◽  
Rice Grains ◽  
Combined Application

Few studies have focused on the combined application of digestate and straw and its feasibility in rice production. Therefore, we conducted a two-year field experiment, including six treatments: without nutrients and straw (Control), digestate (D), digestate + fertilizer (DF), digestate + straw (DS), digestate + fertilizer + straw (DFS) and conventional fertilizer + straw (CS), to clarify the responses of rice growth and paddy soil nutrients to different straw and fertilizer combinations. Our results showed that digestate and straw combined application (i.e., treatment DFS) increased rice yield by 2.71 t ha−1 compared with the Control, and digestate combined with straw addition could distribute more nitrogen (N) to rice grains. Our results also showed that the straw decomposition rate at 0 cm depth under DS was 5% to 102% higher than that under CS. Activities of catalase, urease, sucrase and phosphatase at maturity under DS were all higher than that under both Control and CS. In addition, soil organic matter (SOM) and total nitrogen (TN) under DS and DFS were 20~26% and 11~12% higher than that under B and DF respectively, suggesting straw addition could benefit paddy soil quality. Moreover, coupling straw and digestate would contribute to decrease the N content in soil surface water. Overall, our results demonstrated that digestate and straw combined application could maintain rice production and have potential positive paddy environmental effects.

The interaction between particulate organic matter and copper, zinc in paddy soil

2018 ◽  
Vol 243 ◽  
pp. 1394-1402 ◽  
Author(s):  
Jiyan Shi ◽  
Qianhua Wu ◽  
Cuiqing Zheng ◽  
Jianjun Yang
Keyword(s):  
Organic Matter ◽  
Particulate Organic Matter ◽  
Paddy Soil ◽  
Copper Zinc

Community dynamics of As(V)-reducing and As(III)-oxidizing genes during a wet–dry cycle in paddy soil amended with organic matter, gypsum, or iron oxide

2020 ◽  
Vol 393 ◽  
pp. 122485 ◽  
Author(s):  
Chaolei Yuan ◽  
Jiangtao Qiao ◽  
Fangbai Li ◽  
Xiaofeng Zhang ◽  
Yanhong Du ◽  
...  
Keyword(s):  
Organic Matter ◽  
Iron Oxide ◽  
Paddy Soil ◽  
Community Dynamics

scholarly journals Evaluation of Pesticide Effects on Microbial Communities in a Paddy Soil Comparing with That Caused by Soil Flooding

2003 ◽  
Vol 28 (1) ◽  
pp. 51-54 ◽  
Author(s):  
Kazuhito ITOH ◽  
Takahiro IKUSHIMA ◽  
Kousuke SUYAMA ◽  
Hiroki YAMAMOTO
Keyword(s):  
Microbial Communities ◽  
Paddy Soil ◽  
Soil Flooding

Soil organic matter amount determines the behavior of iron and arsenic in paddy soil with microbial fuel cells

Chemosphere ◽  
2019 ◽  
Vol 237 ◽  
pp. 124459 ◽  
Author(s):  
Williamson Gustave ◽  
Zhao-Feng Yuan ◽  
Raju Sekar ◽  
Yu-Xiang Ren ◽  
Jinjing-Yuan Liu ◽  
...  
Keyword(s):  
Organic Matter ◽  
Fuel Cells ◽  
Soil Organic Matter ◽  
Paddy Soil ◽  
Microbial Fuel Cells

Intensive fertilization (N, P, K, Ca, and S) decreases organic matter decomposition in paddy soil

2018 ◽  
Vol 127 ◽  
pp. 51-57 ◽  
Author(s):  
Yuhuai Liu ◽  
Huadong Zang ◽  
Tida Ge ◽  
Jing Bai ◽  
Shunbao Lu ◽  
...  
Keyword(s):  
Organic Matter ◽  
Paddy Soil ◽  
Organic Matter Decomposition

scholarly journals Evaluation of Machine Learning Approaches to Predict Soil Organic Matter and pH Using vis-NIR Spectra

Sensors ◽  
2019 ◽  
Vol 19 (2) ◽  
pp. 263 ◽  
Author(s):  
Meihua Yang ◽  
Dongyun Xu ◽  
Songchao Chen ◽  
Hongyi Li ◽  
Zhou Shi
Keyword(s):  
Machine Learning ◽  
Organic Matter ◽  
Soil Organic Matter ◽  
Least Squares ◽  
Paddy Soil ◽  
Prediction Accuracy ◽  
Accurate Determination ◽  
Support Vector ◽  
Learning Approaches ◽  
Lower Yangtze

Soil organic matter (SOM) and pH are essential soil fertility indictors of paddy soil in the middle-lower Yangtze Plain. Rapid, non-destructive and accurate determination of SOM and pH is vital to preventing soil degradation caused by inappropriate land management practices. Visible-near infrared (vis-NIR) spectroscopy with multivariate calibration can be used to effectively estimate soil properties. In this study, 523 soil samples were collected from paddy fields in the Yangtze Plain, China. Four machine learning approaches—partial least squares regression (PLSR), least squares-support vector machines (LS-SVM), extreme learning machines (ELM) and the Cubist regression model (Cubist)—were used to compare the prediction accuracy based on vis-NIR full bands and bands reduced using the genetic algorithm (GA). The coefficient of determination (R2), root mean square error (RMSE), and ratio of performance to inter-quartile distance (RPIQ) were used to assess the prediction accuracy. The ELM with GA reduced bands was the best model for SOM (SOM: R2 = 0.81, RMSE = 5.17, RPIQ = 2.87) and pH (R2 = 0.76, RMSE = 0.43, RPIQ = 2.15). The performance of the LS-SVM for pH prediction did not differ significantly between the model with GA (R2 = 0.75, RMSE = 0.44, RPIQ = 2.08) and without GA (R2 = 0.74, RMSE = 0.45, RPIQ = 2.07). Although a slight increase was observed when ELM were used for prediction of SOM and pH using reduced bands (SOM: R2 = 0.81, RMSE = 5.17, RPIQ = 2.87; pH: R2 = 0.76, RMSE = 0.43, RPIQ = 2.15) compared with full bands (R2 = 0.81, RMSE = 5.18, RPIQ = 2.83; pH: R2 = 0.76, RMSE = 0.45, RPIQ = 2.07), the number of wavelengths was greatly reduced (SOM: 201 to 44; pH: 201 to 32). Thus, the ELM coupled with reduced bands by GA is recommended for prediction of properties of paddy soil (SOM and pH) in the middle-lower Yangtze Plain.

scholarly journals Phosphorus fertilization alters complexity of paddy soil dissolved organic matter

2020 ◽  
Vol 19 (9) ◽  
pp. 2301-2312
Author(s):  
Zhi-jian ZHANG ◽  
Xian-zhe WANG ◽  
Lu-yi LIANG ◽  
En HUANG ◽  
Xing-hua TAO
Keyword(s):  
Organic Matter ◽  
Dissolved Organic Matter ◽  
Paddy Soil ◽  
Phosphorus Fertilization
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