Literature DB >> 35908127

Preliminary Dissection of Grain Yield and Related Traits at Differential Nitrogen Levels in Diverse Pre-Breeding Wheat Germplasm Through Association Mapping.

Achla Sharma1, Mian A R Arif2, M Shamshad3, Kanwardeep S Rawale4, Anureet Brar3, Juan Burgueño5, Sajid Shokat2, Ravinder Kaur3, Parsahnt Vikram6, Puja Srivastava3, Nitika Sandhu3, Jayesh Singh3, Satinder Kaur3, Parveen Chhuneja3, Sukhwinder Singh7.   

Abstract

Development of nutrient efficient cultivars depends on effective identification and utilization of genetic variation. We characterized a set of 276 pre-breeding lines (PBLs) for several traits at different levels of nitrogen application. These PBLs originate from synthetic wheats and landraces. We witnessed significant variation in various traits among PBLs to different nitrogen doses. There was ~ 4-18% variation range in different agronomic traits in response to nitrogen application, with the highest variation for the biological yield (BY) and the harvest index. Among various agronomic traits measured, plant height, tiller number, and BY showed a positive correlation with nitrogen applications. GWAS analysis detected 182 marker-trait associations (MTAs) (at p-value < 0.001), out of which 8 MTAs on chromosomes 5D, 4A, 6A, 1B, and 5B explained more than 10% phenotypic variance. Out of all, 40 MTAs observed for differential nitrogen application response were contributed by the synthetic derivatives. Moreover, 20 PBLs exhibited significantly higher grain yield than checks and can be selected as potential donors for improved plant nitrogen use efficiency (pNUE).
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  GWAS; Landraces; Marker-trait-association; Nitrogen; Pre-breeding lines; Wheat; pNUE

Year:  2022        PMID: 35908127     DOI: 10.1007/s12033-022-00535-8

Source DB:  PubMed          Journal:  Mol Biotechnol        ISSN: 1073-6085            Impact factor:   2.860


  2 in total

1.  Dissecting the nutrient partitioning mechanism in rice grain using spatially resolved gene expression profiling.

Authors:  Hasthi Ram; Anmol Singh; Megha Katoch; Ravneet Kaur; Shaswati Sardar; Shubham Palia; Rohit Satyam; Humira Sonah; Rupesh Deshmukh; Ajay Kumar Pandey; Ishaan Gupta; Tilak Raj Sharma
Journal:  J Exp Bot       Date:  2021-03-17       Impact factor: 6.992

  2 in total
  1 in total

1.  A GBS-based genome-wide association study reveals the genetic basis of salinity tolerance at the seedling stage in bread wheat (Triticum aestivum L.).

Authors:  Saba Akram; Maria Ghaffar; Ayesha Wadood; Sajid Shokat; Amjad Hameed; Muhammad Qandeel Waheed; Mian Abdur Rehman Arif
Journal:  Front Genet       Date:  2022-09-27       Impact factor: 4.772

  1 in total

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