Suppr超能文献

田间和遗传证据支持光合性能指数(PI)作为水稻籽粒产量的指标。

Field and genetic evidence support the photosynthetic performance index (PI) as an indicator of rice grain yield.

机构信息

Laboratorio de Fisiología y Asistencia al Mejoramiento Vegetal, Instituto Tecnológico de Chascomús (CONICET-UNSAM), Escuela de Bio y Nanotecnologías (UNSAM), Argentina.

Facultad de Ciencias Agrarias y Forestales, Universidad Nacional de la Plata, 60 y 119, La Plata, Pcia. Bs. As., Argentina.

出版信息

Plant Physiol Biochem. 2023 Aug;201:107897. doi: 10.1016/j.plaphy.2023.107897. Epub 2023 Jul 17.

Abstract

The rice breeding process for grain yield could be effectively enhanced by developing efficient tools that accelerate plant selection through the rapid determination of reliable predictors. In this study, we have described various associations between grain yield and photosynthetic parameters, which can be easily and quickly obtained using a non-invasive technique on the flag leaf during the anthesis stage. Among the analyzed photosynthetic parameters, the photosynthetic performance index (PI) stood out due to its strong association with grain yield. A genome-wide association analysis conducted on plants from a rice diversity panel at the tillering stage revealed the presence of a quantitative trait locus on chromosome 9. This locus was characterized by a group of candidate chloroplastic genes that exhibited contrasting haplotypes for PI. An analysis of these haplotypes revealed a clear division into two groups. One group consisted of haplotypes linked to high values of PI, which were predominantly associated with Japonica spp. subpopulations. The other group consisted of haplotypes linked to low values of PI, which were exclusively associated with Indica spp. subpopulations. Japonica spp. genotypes exhibited higher values in the yield component panicle weight compared with the Indica spp. genotypes. The findings of this study indicate that PI could serve as an early predictor of yield parameters during the tillering stage in rice breeding processes.

摘要

通过开发高效工具,可以有效地提高稻谷产量的育种过程,这些工具可以通过快速确定可靠的预测因子来加速植物选择。在这项研究中,我们描述了在开花期使用非侵入性技术在旗叶上获得的各种与粒产量和光合参数之间的关联,这些参数容易且快速获得。在分析的光合参数中,光合性能指数(PI)由于与粒产量有很强的关联而脱颖而出。在分蘖期对水稻多样性群体进行的全基因组关联分析揭示了在第 9 号染色体上存在一个与数量性状基因座(QTL)相关的位点。该位点的特征是一组候选质体基因,它们的 PI 表现出相反的单倍型。对这些单倍型的分析表明,它们明显分为两组。一组与高 PI 值相关的单倍型主要与粳亚种群相关,另一组与低 PI 值相关的单倍型仅与籼亚种群相关。与籼亚种群相比,粳亚种群的基因型在产量构成因素穗重方面表现出更高的数值。本研究的结果表明,PI 可以作为水稻育种过程中分蘖期产量参数的早期预测因子。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验