Marker traits association of agronomical traits correlated with stagnant flooding tolerance in rice

International Symposium on Bioinformatics, Chemometrics and Metabolomics

生物科学;化学

Sitaresmi, T.^1,2 ; Utami, D.W.^3 ; Suwarno, W.B.^4 ; Ardie, S.W.^4 ; Susanto, U.^2 ; Aswidinnoor, H.^4

Plant Breeding and Biotechnology, Graduate School of IPB, Bogor

16680, Indonesia^1

Indonesian Center for Rice Research, Subang

41256, Indonesia^2

Indonesian Centre for Agricultural Biotechnology and Genetic Resources Research and Development, Bogor

16111, Indonesia^3

Departement of Agronomy and Horticulture, IPB, Bogor

16680, Indonesia^4

关键词: Agricultural biotechnology;    Association analysis;    Cetyltrimethylammonium bromide;    Flooding tolerance;    General linear modeling;    Genetic resources;    Morphological traits;    Research and development;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/835/1/012002/pdf
DOI  :  10.1088/1742-6596/835/1/012002

学科分类：生物科学（综合）

来源: IOP

【 摘 要 】

In deep-water areas, the water depth increases gradually throughout the year and maintains up to more than 50 cm of deep of water for long period. In these situations, elongation ability is necessary to allow the plants to keep up with rising floodwater. The elongation of internode during submergence is regulated by environmental and hormonal factors. The objective of this study was aimed to identify the SNP markers on 384 SNPs linked with agronomical and morphological traits related to stagnant flooding tolerance. The research were conducted at Indonesian Center for Rice Research and Indonesian Centre for Agricultural Biotechnology and Genetic Resources Research and Development. The phenotypical data was collected from F2 from bi-parental crossing of IR 42 and IRRI 119. IR 42 was sensitive parent, and IRRI 119 was tolerant. DNA extraction for rice was using a modified version of Murray and Thompson method using cetyl tri-methyl-ammonium bromide (CTAB). The genotyping was carried out using 384 SNPs Golden Gate Illumina assay. Association analysis between SNP markers and phenotypical data was performed using General Linear Model in Tassel versus 5.0 software program. Based on GLM analysis, the significant marker for plant height with P value