Characterization of methane emissions from rice fields in Asia. II. Differences among irrigated, rainfed, and deepwater rice

Waßmann, Reiner; Neue, H. U.; Lantin, R. S.; Makarim, K.; Chareonsilp, N.; Buendia, L. V.; Rennenberg, Heinz

doi:10.1007/978-94-010-0898-3_2

Cited by 42 publications

(46 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…rrigated rice fields, whose water regime is fully controlled by farmers, account for 51 and 93% of the global and Chinese rice production area, respectively (44,45). This type of rice field represents an important anthropogenic biological source of atmospheric CH 4 , accounting for ca.…”

mentioning

confidence: 99%

Responses of MethanogenmcrAGenes and Their Transcripts to an Alternate Dry/Wet Cycle of Paddy Field Soil

Conrad

2012

Appl Environ Microbiol

146

105

View full text Add to dashboard Cite

Intermittent drainage can substantially reduce methane emission from rice fields, but the microbial mechanisms remain poorly understood. In the present study, we determined the rates of methane production and emission, the dynamics of ferric iron and sulfate, and the abundance of methanogen mcrA genes (encoding the alpha subunit of methyl coenzyme M reductase) and their transcripts in response to alternate dry/wet cycles in paddy field soil. We found that intermittent drainage did not affect the growth of rice plants but significantly reduced the rates of both methane production and emission. The dry/wet cycles also resulted in shifts of soil redox conditions, increasing the concentrations of ferric iron and sulfate in the soil. Quantitative PCR analysis revealed that both mcrA gene copies and mcrA transcripts significantly decreased after dry/wet alternation compared to continuous flooding. Correlation and regression analyses showed that the abundance of mcrA genes and transcripts positively correlated with methane production potential and soil water content and negatively correlated with the concentrations of ferric iron and sulfate in the soil. However, the transcription of mcrA genes was reduced to a greater extent than the abundance of mcrA genes, resulting in very low mcrA transcript/gene ratios after intermittent drainage. Furthermore, terminal restriction fragment length polymorphism analysis revealed that the composition of methanogenic community remained stable under dry/ wet cycles, whereas that of metabolically active methanogens strongly changed. Collectively, our study demonstrated a stronger effect of intermittent drainage on the abundance of mcrA transcripts than of mcrA genes in rice field soil.

show abstract

mentioning

confidence: 99%

Responses of MethanogenmcrAGenes and Their Transcripts to an Alternate Dry/Wet Cycle of Paddy Field Soil

Conrad

2012

Appl Environ Microbiol

146

105

View full text Add to dashboard Cite

show abstract

“…Roots of living rice plants also supply substrates for microbes in the rhizosphere by secreting various compounds such as saccharides, amino acids and organic acids or by peeling off the root epidermis and cortex. Substrates derived from these sources stimulate the microbial activity in the rice-fi eld soil and thereby increase production and emission of methane from the fi elds as one of the greenhouse gases (Boone, 2000;Kaku et al, 2000;Khalil, 2000;Seiler et al, 1984;Takai, 1970;Wassmann et al, 2000).…”

mentioning

confidence: 99%

Rhizomicrobium palustre gen. nov., sp. nov., a facultatively anaerobic, fermentative stalked bacterium in the class Alphaproteobacteria isolated from rice plant roots

Ueki

Kodama

Kaku

et al. 2010

J. Gen. Appl. Microbiol.

View full text Add to dashboard Cite

“…The basic step in this process is finding paddy locations and then monitoring those area conditions in order to provide proper production and yield management. Besides, owing to especial characteristics of this plant, it grows in the flooded land which cause methane emission and impacts on greenhouse gases (Denier Van Der Gon, 2000;Wassmann et al, 2000). As a result of that, many researches focus on this plant and its characteristics.…”

Section: Introdustionmentioning

confidence: 99%

Automatic Paddy Rice Mapping Interface Using Arcengine and Landsat8 Imagery (Case Study in North Part of Iran)

Shams¹

2014

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

ABSTRACT:Recognition of paddy rice boundaries is an essential step for many agricultural processes such as yield estimation, cadastre and water management. In this study, an automatic rice paddy mapping is proposed. The algorithm is based on two temporal images: an initial period of flooding and after harvesting. The proposed method has several steps include: finding flooded pixels and masking unwanted pixels which contain water bodies, clouds, forests, and swamps. In order to achieve final paddy map, indexes such as Normalized Difference Vegetation Index (NDVI) and Land Surface Water Index (LSWI) are used. Validation is performed by rice paddy boundaries, which were drawn by an expert operator in Google maps. Due to this appraisal good agreement (close to 90%) is reached. The algorithm is applied to Gilan province located in the north part of Iran using Landsat 8 date 2013. Automatic Interface is designed based on proposed algorithm using Arc Engine and visual studio. In the Interface, inputs are Landsat bands of two time periods including: red (0.66 μm), blue (0.48 μm), NIR (0.87 μm), and SWIR (2.20 μm), which should be defined by user. The whole process will run automatically and the final result will provide paddy map of desire year.

show abstract

Characterization of methane emissions from rice fields in Asia. II. Differences among irrigated, rainfed, and deepwater rice

Cited by 42 publications

References 10 publications

Responses of MethanogenmcrAGenes and Their Transcripts to an Alternate Dry/Wet Cycle of Paddy Field Soil

Responses of MethanogenmcrAGenes and Their Transcripts to an Alternate Dry/Wet Cycle of Paddy Field Soil

Rhizomicrobium palustre gen. nov., sp. nov., a facultatively anaerobic, fermentative stalked bacterium in the class Alphaproteobacteria isolated from rice plant roots

Automatic Paddy Rice Mapping Interface Using Arcengine and Landsat8 Imagery (Case Study in North Part of Iran)

Contact Info

Product

Resources

About