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Registration of ‘S16‐3747GT’: A high‐yielding determinate maturity group V soybean cultivar with broad biotic and abiotic stressors tolerance
Given the magnitude of production losses caused by biotic and abiotic stressors in soybean [Glycine max (L.) Merr.], breeding programs have devoted great efforts to developing high‐yielding soybean cultivars with enhanced genetic resistance to multiple biotic and abiotic stressors. In this context,...
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Published in: | Journal of plant registrations 2022-09, Vol.16 (3), p.550-563 |
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Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , |
Format: | Article |
Language: | English |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Given the magnitude of production losses caused by biotic and abiotic stressors in soybean [Glycine max (L.) Merr.], breeding programs have devoted great efforts to developing high‐yielding soybean cultivars with enhanced genetic resistance to multiple biotic and abiotic stressors. In this context, the University of Missouri–Fisher Delta Research, Extension, and Education Center developed and released the soybean cultivar ‘S16‐3747GT’ (Reg. no. CV‐552, PI 700001). It is a determinate maturity group 5 early (relative maturity 5.0) Roundup Ready 2 (glyphosate‐tolerant) soybean that combines high‐yielding potential with resistance to soybean cyst nematode, southern root‐knot nematode, stem canker, and Phytophthora root rot and with tolerance to salt stress. S16‐3747GT was evaluated in 155 environments across 13 states from 2017 to 2020 and yielded numerically and/or significantly higher than the commercial checks’ average in 9 of 13 states in the southern United States. The broad adaptability and competitiveness across multiple states combined with resistance to biotic and abiotic stressors make S16‐3747GT a compelling cultivar choice for growers in this region as well as an option for public and private soybean breeding programs to incorporate this genetic background into their breeding pipeline. |
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ISSN: | 1936-5209 1940-3496 |
DOI: | 10.1002/plr2.20222 |