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ARS Home » Southeast Area » Stuttgart, Arkansas » Dale Bumpers National Rice Research Center » Research » Publications at this Location » Publication #339465

Research Project: Using Genetic Approaches to Reduce Crop Losses in Rice Due to Biotic and Abiotic Stress

Location: Dale Bumpers National Rice Research Center

Title: Evaluation of Genetic Variation in Rice to Mitigate Methane Emissions

Author
item Barnaby, Jinyoung
item Mcclung, Anna
item Mcclung, Anna
item Adviento-borbe, Arlene
item Pinson, Shannon
item Kim, Woojae - Rural Development Administration - Korea
item Jun, Jaebuhm - Rural Development Administration - Korea
item Kim, Hyunsoon - Rural Development Administration - Korea

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 3/14/2017
Publication Date: 5/15/2017
Citation: Barnaby, J.Y., McClung, A.M., Adviento-Borbe, A.A., Pinson, S.R.M., Kim, W., Jun, J., Kim, H. 2017. Evaluation of Genetic Variation in Rice to Mitigate Methane Emissions. Meeting Abstract. Joint Meeting of RDA and USDA, Jeollabuk-do, Republic of Korea, May 15-19, 2017. Pages 37-48.

Interpretive Summary:

Technical Abstract: Agriculture is recognized as a significant contributor to greenhouse gas emissions (GHGE) globally. Paddy rice is a significant source of methane emissions. Methane accounts for about 11% of all U.S. GHGE and it is ~25 times more potent in global warming potential than carbon dioxide. Research has shown that the amount of methane emitted from paddy rice can vary by cultivar indicating that genetics has the potential for mitigating the effects of GHGE. Our preliminary data indicate in situ variation among rice varieties for methane flux under paddy conditions. However, the physiological and morphological factors which are responsible for this are little known. We investigated genetic variation in CH4 emissions among 5 rice cultivars, and found that root and tiller production are largely linked with variation in CH4 emissions. We are further studying the detailed relationship of root and tiller production in CH4 emissions using a biparental mapping population segregating for these two traits.