Hacısalihoğlu, Gökhan and Burton, Amy L. and Gustin, Jeffery L. and Eker, Selim and Asıklı, Safiye and Heybet, Elif Haklı and Öztürk, Levent and Çakmak, İsmail and Yazıcı, Mustafa Atilla and Burkey, Kent O. and Orf, James and Settles, Mark A. (2018) Quantitative trait loci associated with soybean seed weight and composition under different phosphorus levels. Journal of Integrative Plant Biology, 60 (3). pp. 232-241. ISSN 1672-9072 (Print) 1744-7909 (Online)
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Official URL: http://dx.doi.org/10.1111/jipb.12612
Abstract
Seed size and composition are important traits in food crops and can be affected by nutrient availability in the soil. Phosphorus (P) is a non‐renewable, essential macronutrient, and P deficiency limits soybean (Glycine max) yield and quality. To investigate the associations of seed traits in low‐ and high‐P environments, soybean recombinant inbred lines (RILs) from a cross of cultivars Fiskeby III and Mandarin (Ottawa) were grown under contrasting P availability environments. Traits including individual seed weight, seed number, and intact mature pod weight were significantly affected by soil P levels and showed transgressive segregation among the RILs. Surprisingly, P treatments did not affect seed composition or weight, suggesting that soybean maintains sufficient P in seeds even in low‐P soil. Quantitative trait loci (QTLs) were detected for seed weight, intact pods, seed volume, and seed protein, with five significant QTLs identified in low‐P environments and one significant QTL found in the optimal‐P environment. Broad‐sense heritability estimates were 0.78 (individual seed weight), 0.90 (seed protein), 0.34 (seed oil), and 0.98 (seed number). The QTLs identified under low P point to genetic regions that may be useful to improve soybean performance under limiting P conditions.
Item Type: | Article |
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Subjects: | Q Science > Q Science (General) S Agriculture > SB Plant culture > SB183-317 Field crops |
Divisions: | Faculty of Engineering and Natural Sciences > Academic programs > Biological Sciences & Bio Eng. Faculty of Engineering and Natural Sciences |
Depositing User: | Levent Öztürk |
Date Deposited: | 30 Jul 2018 12:42 |
Last Modified: | 22 May 2023 12:38 |
URI: | https://research.sabanciuniv.edu/id/eprint/34484 |