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http://krishi.icar.gov.in/jspui/handle/123456789/73747| Title: | Genetics of Fe, Zn, β-carotene, GPC and yield traits in bread wheat (Triticum aestivum L.) using multi-locus and multi-traits GWAS |
| Other Titles: | Not Available |
| Authors: | Jitendra Kumar Gautam Saripalli Vijay Gahlaut Neha Goel Prabina Kumar Meher Kaushlesh Kumar Mishra Prafulla Chandra Mishra Deepmala Sehgal Prashant Vikram Carolina Sansaloni Sukhwinder Singh Pradeep Kumar Sharma Pushpendra Kumar Gupta |
| ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
| Author's Affiliated institute: | ICAR::Indian Agricultural Statistics Research Institute Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, India Zonal Agricultural Research Station, Powarkheda, Jawaharlal Nehru Krishi Vishwa Vidylaya, Jabalpur, India International Maize and Wheat Improvement Center (CIMMYT), Km. 45, Carretera Mex-Veracruz, El Batan, CP 56237, Texcoco, Mexico |
| Published/ Complete Date: | 2018-11-03 |
| Project Code: | Not Available |
| Keywords: | genotypes Phenotypic data SNP markers |
| Publisher: | Not Available |
| Citation: | Kumar, J., Saripalli, G., Gahlaut, V. et al. (2018). Genetics of Fe, Zn, β-carotene, GPC and yield traits in bread wheat (Triticum aestivum L.) using multi-locus and multi-traits GWAS. Euphytica 214, 219 . https://doi.org/10.1007/s10681-018-2284-2 |
| Series/Report no.: | Not Available; |
| Abstract/Description: | The present study was conducted to study the genetic architecture of grain micronutrients (Zn, Fe and β-carotene contents), grain protein content and four yield traits in a spring wheat reference set comprising 246 genotypes. Phenotypic data on these traits recorded at two locations and the genotyping data for 17,937 SNP markers (obtained through outsourcing) were used for genome wide association study, which gave following results after Bonferroni correction using four methods: (1) single locus single trait analysis gave 136 marker-trait associations; (2) multi-locus mixed model gave 587 MTAs; (3) multi-trait mixed model gave 28 MTAs and (4) matrix-variate linear mixed model gave 33 MTAs. As many as 73 epistatic interactions were also detected. Keeping all the results in mind, nine most important MTAs were selected for biofortification. These markers were associated with three traits (GPC, GFeC and GYPP). These MTAs can be used in wheat improvement programs either using marker-assisted recurrent selection or pseudo-backcrossing method. |
| Description: | Not Available |
| ISSN: | Not Available |
| Type(s) of content: | Research Paper |
| Sponsors: | Not Available |
| Language: | English |
| Name of Journal: | Euphytica |
| NAAS Rating: | 7.90 |
| Impact Factor: | 1.90 |
| Volume No.: | 214(11) |
| Page Number: | 1-17 |
| Name of the Division/Regional Station: | Not Available |
| Source, DOI or any other URL: | 10.1007/s10681-018-2284-2 |
| URI: | http://krishi.icar.gov.in/jspui/handle/123456789/73747 |
| Appears in Collections: | AEdu-IASRI-Publication |
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