Meta-QTLs, ortho-meta-QTLs and candidate genes for grain yield and associated traits in wheat (Triticum aestivum L.)
Author:
Publisher
Springer Science and Business Media LLC
Subject
Genetics,Agronomy and Crop Science,General Medicine,Biotechnology
Link
https://link.springer.com/content/pdf/10.1007/s00122-021-04018-3.pdf
Reference126 articles.
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3. Arcade A, Labourdette A, Falque M, Mangin B, Chardon F, Charcosset A, Joets J (2004) BioMercator:integrating genetic maps and QTL towards discovery of candidate genes. Bioinformatics 20:2324–2326
4. Avni R, Oren L, Shabtay G, Assili S, Pozniak C, Hale I, Ben-David R, Peleg Z, Distelfeld A (2018) Genome based meta-QTL analysis of grain weight in tetraploid wheat identifies rare alleles of GRF4 associated with larger grains. Genes 9:636
5. Bharadwaj C, Tripathi S, Soren KR, Thudi M, Singh RK, Sheoran S, Roorkiwal M, Patil BS, Chitikineni A, Palakurthi R, Vemula A (2021) Introgression of “QTL-hotspot” region enhances drought tolerance and grain yield in three elite chickpea cultivars. Plant Genome 14:e20076
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