Evaluation of Grain-Filling-Related Traits Using Taichung 65 x DV85 Chromosome Segment Substitution Lines (TD-CSSLs) of Rice
Author:
Mabreja Abebaw Dessie12, Reyes Vincent Pamugas1ORCID, Soe Than Kutay1, Shimakawa Kodai1, Makihara Daigo3ORCID, Nishiuchi Shunsaku1ORCID, Doi Kazuyuki1ORCID
Affiliation:
1. Graduate School of Bioagicultural Science, Nagoya University, Chikusa, Nagoya 464-8601, Aichi, Japan 2. Ethiopian Institute of Agricultural Research, Fogera National Rice Research and Training Center, Bahir Dar 1937, Ethiopia 3. International Center for Research and Education in Agriculture, Nagoya University, Chikusa, Nagoya 464-8601, Aichi, Japan
Abstract
Grain yield of rice consists of sink capacity and grain filling. There are some genes known to contribute to sink capacity, but few genes associated with grain filling are known. We conducted a genetic analysis on yield-related traits by using a chromosome segment substitution line population that have introgression from DV85, an aus variety of rice, in the background of T65, a japonica variety. Refined whole-genome genotypes of the 43 TD-CSSLs were obtained by genotyping-by-sequencing. The effects of previously detected quantitative trait loci (QTLs), qNSC1 and qNSC2, were confirmed by the amount of non-structural carbohydrate (NSC) at 5 days after heading (DAH). The CSSL for qSWTR11, the QTL for decrease in shoot weight during the maturity stage, showed the highest NSC at 5 DAH and lowest at 35 DAH. The brown rice yield of these lines were not stably significant. Most of the sink-related traits correlated between the 2 tested years, but most of the grain-filling traits did not show correlation between the 2 years. Correlation analysis revealed that the sink capacity is stable and primarily determines the yield, and grain filling is more affected by the environment. In addition, biomass production before heading and during the maturity stage contributes to higher yield in TD-CSSLs, and the amount of translocation of stem reserve does not affect much to the yield. We conclude that higher NSC at the heading stage and rapid decrease in shoot biomass during the maturity stage did not directly contribute to the yield formation in the japonica genetic background.
Reference47 articles.
1. Genetic analysis of grain yield conditioned on its component traits in rice (Oryza sativa L.);Liu;Aust. J. Agric. Res.,2008 2. Genome-wide association study and mendelian randomization analysis provide insights for improving rice yield potential;Su;Sci. Rep.,2021 3. Xiao, N., Pan, C., Li, Y., Wu, Y., Cai, Y., Lu, Y., Wang, R., Yu, L., Shi, W., and Kang, H. (2021). Genomic insight into balancing high yield, good quality, and blast resistance of japonica rice. Genome Biol., 22. 4. Genetic and molecular bases of rice yield;Xing;Annu. Rev. Plant Biol.,2010 5. Chukwu, S.C., Rafii, M.Y., Oladosu, Y., Okporie, E.O., Akos, I.S., Musa, I., Swaray, S., Jalloh, M., and Al-Mamun, M. (2022). Genotypic and phenotypic selection of newly improved Putra rice and the correlations among quantitative traits. Diversity, 14.
|
|