Linking genetic markers with an eco-physiological model to pyramid favourable alleles and design wheat ideotypes
文献类型：期刊论文
| 作者 | Li, Yibo1,2; Tao, Fulu1,2; Hao, Yuanfeng3; Tong, Jingyang3; Xiao, Yonggui3; Zhang, He2; He, Zhonghu3; Reynolds, Matthew4 |
| 刊名 | PLANT CELL AND ENVIRONMENT
 |
| 出版日期 | 2022-12-28 |
| 页码 | 16 |
| ISSN号 | 0140-7791 |
| 关键词 | eco-physiological modelling gene-based modelling genotype-phenotype relationships GWAS ideotyping |
| DOI | 10.1111/pce.14518 |
| 通讯作者 | Tao, Fulu(taofl@igsnrr.ac.cn) |
| 英文摘要 | Genetic markers can be linked with eco-physiological crop models to accurately predict genotype performance and individual markers' contributions in target environments, exploring interactions between genotype and environment. Here, wheat (Triticum aestivum L.) yield was dissected into seven traits corresponding to cultivar genetic coefficients in an eco-physiological model. Loci for these traits were discovered through the genome-wide association studies (GWAS). The cultivar genetic coefficients were derived from the loci using multiple linear regression or random forest, building a marker-based eco-physiological model. It is then applied to simulate wheat yields and design virtual ideotypes. The results indicated that the loci identified through GWAS explained 46%-75% variations in cultivar genetic coefficients. Using the marker-based model, the normalized root mean square error (nRMSE) between the simulated yield and observed yield was 13.95% by multiple linear regression and 13.62% by random forest. The nRMSE between the simulated and observed maturity dates was 1.24% by multiple linear regression and 1.11% by random forest, respectively. Structural equation modelling indicated that variations in grain yield could be well explained by cultivar genetic coefficients and phenological data. In addition, 24 pleiotropic loci in this study were detected on 15 chromosomes. More significant loci were detected by the model-based dissection method than considering yield per se. Ideotypes were identified by higher yield and more favourable alleles of cultivar genetic traits. This study proposes a genotype-to-phenotype approach and demonstrates novel ideas and tools to support the effective breeding of new cultivars with high yield through pyramiding favourable alleles and designing crop ideotypes. |
| WOS关键词 | RECOMBINANT INBRED LINES ; GENOME-WIDE ASSOCIATION ; QUANTITATIVE TRAIT LOCI ; RICE ORYZA-SATIVA ; QTL ANALYSIS ; FLOWERING TIME ; ASSISTED SELECTION ; CLIMATE ADAPTATION ; CROP PHYSIOLOGY ; YIELD |
| 资助项目 | National Natural Science Foundation of China ; [31761143006] ; [41571493] ; [31670485] |
| WOS研究方向 | Plant Sciences |
| 语种 | 英语 |
| 出版者 | WILEY |
| WOS记录号 | WOS:000903967100001 |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/188416]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Tao, Fulu |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing, Peoples R China 3.Chinese Acad Agr Sci, Inst Crop Sci, Beijing, Peoples R China 4.Int Maize & Wheat Improvement Ctr CIMMYT, Texcoco, Mexico |
| 推荐引用方式 GB/T 7714 | Li, Yibo,Tao, Fulu,Hao, Yuanfeng,et al. Linking genetic markers with an eco-physiological model to pyramid favourable alleles and design wheat ideotypes[J]. PLANT CELL AND ENVIRONMENT,2022:16. |
| APA | Li, Yibo.,Tao, Fulu.,Hao, Yuanfeng.,Tong, Jingyang.,Xiao, Yonggui.,...&Reynolds, Matthew.(2022).Linking genetic markers with an eco-physiological model to pyramid favourable alleles and design wheat ideotypes.PLANT CELL AND ENVIRONMENT,16. |
| MLA | Li, Yibo,et al."Linking genetic markers with an eco-physiological model to pyramid favourable alleles and design wheat ideotypes".PLANT CELL AND ENVIRONMENT (2022):16. |
入库方式： OAI收割
来源：地理科学与资源研究所
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