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ARS Home » Southeast Area » Stuttgart, Arkansas » Dale Bumpers National Rice Research Center » Research » Publications at this Location » Publication #306928
Title: Exploring optimization of weed suppression, yield, and biotic stress tolerance in an allelopathic X non-allelopathic rice mapping population

Author
item Gealy, David
item Jia, Yulin
item Pinson, Shannon

Submitted to: International Allelopathy Congress
Publication Type: Abstract Only
Publication Acceptance Date: 2/28/2014
Publication Date: 8/1/2014
Citation: Gealy, D.R., Jia, Y., Pinson, S.R. 2014. Exploring optimization of weed suppression, yield, and biotic stress tolerance in an allelopathic X non-allelopathic rice mapping population. In: Proceedings of the 7th World Congress on Allelopathy. Vigo, Spain. International Allelopathy Society. International Allelopathy Congress. p. 224.

Interpretive Summary:

Technical Abstract: Indica rice cultivars such as PI 312777 can be highly productive as well as suppressive to barnyardgrass (Echinochloa crus-galli) in drill-seeded systems in the US. To understand the molecular basis of the important genes underlying crop productivity, weed suppression, and disease resistance, a recombinant inbred line (RIL) population was developed using single seed descent from a cross between ‘Katy’, a moderate-yielding, non-weed-suppressive tropical japonica, and PI 312777, a high-yielding allelopathic indica. A mapping population of 350 RILs (presently F6 generation) has been developed. The phenotypic traits being evaluated are: emergence and plant growth rates; number, timing, and angle of tillers produced; leaf area; height; yield; root architecture, allelopathic activity, and weed suppression; and blast disease reactions. Greenhouse experiments are ongoing, and field and high-throughput growth chamber experiments will be conducted 2014-2016. Important genomic regions associated with the evaluated traits will be determined using Genotyping by Sequencing or other appropriate genotyping methods. This mapping population, with the accompanying genetic and phenotypic information, will provide a foundation for conducting association mapping studies that will lead to a better understanding of the genetic control of yield, weed-suppression, and disease resistance traits.