Allele mining using gene information with eight founders of the MAGIC lines revealed the possibility that qCH1-4 contains multiple alleles of semi-dwarf 1 ( sd1), the IR-8 allele of which significantly contributed to the “green revolution” in rice. Noticeably, haplotypes with canopy lowering effects at qCH1-4, qCH2, and qCH10-2 increased the ratio of panicle weight to leaf and stem weight, suggesting biomass allocation to grain yield or others through growth regulation of CH. Haplotype analysis revealed relationships at the QTL level between CH and, vegetation fraction and leaf colour, and CH and yield-related traits.
Each QTL showed haplotype effects on different features of CH such as stage-specificity and constancy. Genome-wide association studies (GWASs) using the CH data and haplotype information of the MAGIC lines revealed 11 QTLs for CH. We generated a digital surface model from low-altitude UAV-captured colour digital images and investigated CH data of rice multi-parental advanced generation inter-cross (MAGIC) lines from tillering and heading to maturation. In this study, we show the ability of time-course monitoring of canopy height (CH) to identify quantitative trait loci (QTLs) and to characterise their pleiotropic effect on various traits. High-throughput phenotyping systems with unmanned aerial vehicles (UAVs) enable observation of crop lines in the field.
0 kommentar(er)
