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Genome based meta-QTL analysis of grain weight in tetraploid wheat identifies rare alleles of GRF4 associated with larger grains
View ORCID ProfileRaz Avni, Leah Oren, Gai Shabtai, Siwar Assili, Curtis Pozniak, Iago Hale, Roi Ben-David, Zvi Peleg, Assaf Distelfeld
doi: https://doi.org/10.1101/415240
Raz Avni
1School of Plant Sciences and Food Security, Tel Aviv University, Tel Aviv, Israel.
Leah Oren
1School of Plant Sciences and Food Security, Tel Aviv University, Tel Aviv, Israel.
2The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel.
Gai Shabtai
1School of Plant Sciences and Food Security, Tel Aviv University, Tel Aviv, Israel.
Siwar Assili
2The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel.
5The Institute of Plant Sciences. Agriculture Research Organization (ARO) - Volcani, Rishon LeZion, Israel.
Curtis Pozniak
3University of Saskatchewan, Saskatoon, Canada.
Iago Hale
4Department of Agriculture, Nutrition, and Food Systems, University of New Hampshire, Durham, NH, USA.
Roi Ben-David
5The Institute of Plant Sciences. Agriculture Research Organization (ARO) - Volcani, Rishon LeZion, Israel.
Zvi Peleg
2The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel.
Assaf Distelfeld
1School of Plant Sciences and Food Security, Tel Aviv University, Tel Aviv, Israel.
Posted November 01, 2018.
Genome based meta-QTL analysis of grain weight in tetraploid wheat identifies rare alleles of GRF4 associated with larger grains
Raz Avni, Leah Oren, Gai Shabtai, Siwar Assili, Curtis Pozniak, Iago Hale, Roi Ben-David, Zvi Peleg, Assaf Distelfeld
bioRxiv 415240; doi: https://doi.org/10.1101/415240
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