A semi-dwarf and late-flowering Koshihikari d60Hd16: development, productivity, and regional suitability revealed by correlation-based network analysis
Motonori Tomita, Hiroshi Honda

TL;DR
Researchers developed a new rice variety with improved traits for climate resilience and analyzed its performance across different regions in Japan.
Contribution
A new rice variety combining semi-dwarf and late-flowering traits was developed and evaluated for productivity and regional suitability using correlation-based network analysis.
Findings
Yield was strongly positively correlated with 1,000-grain weight (r = 0.66), while quality was negatively correlated with panicle length and 1,000-grain weight.
The d60 genotype reduced lodging risk and culm length (r = −0.82), making it suitable for stable cultivation.
Yamanashi and Ehime were found suitable for yield, while Shimane was better for eating quality due to climatic differences.
Abstract
Breeding rice varieties that are resilient to climate change and optimizing the cultivation methods for each developed variety are challenging issues in global food demands. In this study, the late-flowering gene Hd16 of Koganebare was introduced into Koshihikari through backcrossing to create ‘Koshihikari Hd16’. It was then crossed with ‘Koshihikari d60’ to develop an isogenic line of Koshihikari containing both Hd16 and d60. Productivity tests were conducted in nine prefectures in Japan for two homogeneous rice genotypes: Hd16 (late flowering) and d60Hd16 (short culm and late flowering). By analyzing the relationship among genotypes, traits, and accumulation temperatures, we reexamined the characteristics of each genotype and inferred the optimal growing areas. Correlation-based network analysis between yield, grain quality, and taste value, as well as other traits, showed that…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGenetic Mapping and Diversity in Plants and Animals · GABA and Rice Research · Rice Cultivation and Yield Improvement
