High-density linkage mapping for agronomic and physiological traits of rice (Oryza sativa L.) under reproductive-stage salt stress

被引:0
作者
Mostafa Ahmadizadeh
Nadali Babaeian-Jelodar
Ghasem Mohammadi-Nejad
Nadali Bagheri
Rakesh Kumar Singh
机构
[1] Sari Agricultural Sciences and Natural Resources University (SANRU),Department of Plant Breeding
[2] Institute of Plant Production (RTIPP),Department of Agronomy and Plant Breeding and Research and Technology
[3] Shahid-Bahonar University,Plant Breeding Division
[4] International Rice Research Institute (IRRI),Crop Diversification and Genetics Section
[5] International Center for Biosaline Agriculture (ICBA),undefined
来源
Journal of Genetics | 2021年 / 100卷
关键词
single-nucleotide polymorphism; salinity; genetic map; reproductive stage.;
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摘要
Rice is one of the most important cereals of the world, with a substantial amount of genetic variation, and a staple food for more than half of the world’s population. Salinity is the second most important abiotic stress after drought that adversely affects rice production globally. Both the seedling and reproductive stages are extremely sensitive to salinity but tolerant at the reproductive stage which is most crucial, as it translates into grain yield. Therefore, it is more important to identify the underlying factors of tolerance at the reproductive stage as a necessary step towards improving varieties for salinity environments. However, because of the difficulties in phenotyping protocols of salinity tolerance screening at the reproductive stage, only a few studies exist on this aspect. In view of this, a study involving 188 F4 rice lines derived from a cross CSR28 × Sadri along with the parents was carried out for phenotyping using a novel screening approach for the reproductive stage in salinity conditions and genotyping by SNP markers (Infinium Illumina 6K SNP chip) to construct a high-saturation linkage map. Quantitative trait loci analysis in an F4 population for physiological traits (chlorophyll a, chlorophyll b and carotenoid) and agronomic traits (plant height, filled grain number, grain yield and spikelet fertility percentage) led to the identification of 14 QTLs with an LOD range of 2.72–4.46 explaining phenotypic variation of 5.29–24.86% on chromosomes 1, 2, 3, 5, 6, 7 and 8. Tolerant alleles were contributed by both CSR28 and Sadri. The results indicated that both physiological and agronomic traits were involved in salinity tolerance at the reproductive stage and majority of the QTLs identified in this study are reported for the first time.
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