title: Genetic dissection on rice grain shape by the two-dimensional image analysis in one japonica × indica population consisting of recombinant inbred lines.
abstract: This article used seven characters from the 2D image analysis to dissect the genetic architecture underlying rice grain shape in one japonica × indica population consisting of 215 recombinant inbred lines. Two-dimensional (2D) digital image analysis is efficient for investigating the rice grain shape characters in large genetic and breeding populations. In this study, we used 2D image analysis to investigate seven characters, i.e., grain length (GL), grain width (GW), length-to-width ratio (LW), grain area (GA), grain circumference (GC), grain diameter (GD), and grain roundness (GR), in one japonica × indica genetic population consisting of 215 recombinant inbred lines. GL and GW can be recorded manually as well, and have been extensively used together with LW (i.e., GL/GW) in genetic studies on grain shape. GC and GA can be hardly measured manually, and have not been used together with GD and GR. Results indicated that the seven characters could be precisely measured by 2D image analysis, genotype by environment interaction was low, and heritability was high. Each character was controlled by a few major stable genes and multiple minor additive genes. A total of 51 QTL were detected for the seven characters across four diverse environments, 22 from GL, GW, and LW, the three traditional characters, and 29 from the other four characters. The 51 QTL were clustered in eighteen marker intervals. Comparing with previous studies and analyzing the stability of identified QTL, we found six non-reported marker intervals, one each on chromosomes 2 and 3, and two each on chromosomes 6 and 8. The newly identified loci and the large-scale phenotyping system would greatly improve our knowledge about the genetic architecture and the future rice breeding on grain shape.
authors.affiliation: The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science and CIMMYT China Office, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
authors.forename: Changbin
authors.initials: C
authors.lastname: Yin
authors.affiliation: The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science and CIMMYT China Office, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
authors.forename: Huihui
authors.initials: H
authors.lastname: Li
authors.affiliation: The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science and CIMMYT China Office, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
authors.forename: Shanshan
authors.initials: S
authors.lastname: Li
authors.affiliation: National Key Laboratory for Crop Genetics and Germplasm Enhancement, Research Center of Jiangsu Plant Gene Engineering, Nanjing Agricultural University, Nanjing, 210095, China.
authors.forename: Lidong
authors.initials: L
authors.lastname: Xu
authors.affiliation: National Key Laboratory for Crop Genetics and Germplasm Enhancement, Research Center of Jiangsu Plant Gene Engineering, Nanjing Agricultural University, Nanjing, 210095, China.
authors.forename: Zhigang
authors.initials: Z
authors.lastname: Zhao
authors.affiliation: The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science and CIMMYT China Office, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. jkwang@cgiar.org.
authors.forename: Jiankang
authors.initials: J
authors.lastname: Wang
mesh_terms: D002874:Chromosome Mapping; D032461:Chromosomes, Plant; D059647:Gene-Environment Interaction; D017343:Genes, Plant; D005819:Genetic Markers; D005828:Genetics, Population; D005838:Genotype; D007178:Inbreeding; D012275:Oryza / Q000235:genetics*; D010641:Phenotype; D000069600:Plant Breeding; D040641:Quantitative Trait Loci; D012639:Seeds / Q000033:anatomy & histology* / Q000235:genetics
chemical_list: D005819:Genetic Markers