Figures & data
Table 1. Analysis of variance (ANOVA) of soybean seed yield per plant (YP) under drought stressed and full irrigation conditions for 149 soybean accessions.
Table 2. Descriptive statistics of seed yield per plant (YP) under drought stressed and full irrigation conditions and DSI-YP values for 149 soybean cultivars.
Table 3. Phenotypic BLUP (best linear unbiased prediction) correlations between seed yield per plant (YP) under drought stressed and full irrigation conditions and DSI-YP in the 149 soybean cultivars.
Table 4. SNPs significantly associated with YP under drought stressed and full irrigation conditions and DSI-YP.
Kuroda Y, Kaga A, Norihiko T, et al. QTL affecting fitness of hybrids between wild and cultivated soybeans in experimental fields. Ecol Evol. 2013;3(7):2150–2168. Liang H, Yu Y, Yang H, et al. Inheritance and QTL mapping of related root traits in soybean at the seedling stage. Theor Appl Genet. 2014;127(10):2127–2137. Zhang D, Cheng H, Geng L, et al. Detection of quantitative trait loci for phosphorus deficiency tolerance at soybean seedling stage. Euphytica. 2009;167(3):313–322. Kato S, Sayama T, Fujii K, et al. A major and stable QTL associated with seed weight in soybean across multiple environments and genetic backgrounds. Theor Appl Genet. 2014;127(6):1365–1374. Mao T, Jiang Z, Han Y, et al. Identification of quantitative trait loci underlying seed protein and oil contents of soybean across multi-genetic backgrounds and environments. Plant Breed. 2013;132(6):630–641. Han Y, Teng W, Wang Y, et al. Unconditional and conditional QTL underlying the genetic interrelationships between soybean seed isoflavone, and protein or oil contents. Plant Breed. 2015;134(3):300–309. Han Y, Li D, Zhu D, et al. QTL analysis of soybean seed weight across multi-genetic backgrounds and environments. Theor Appl Genet. 2012;125(4):671–683. Ning H, Yuan J, Dong Q, et al. Identification of QTLs related to the vertical distribution and seed-set of pod number in soybean [Glycine max (L.) Merri]. PLoS One. 2018;13(4):e0195830. Lu W, Wen Z, Li H, et al. Identification of the quantitative trait loci (QTL) underlying water soluble protein content in soybean. Theor Appl Genet. 2013;126(2):425–433. Yao D, Liu Z, Zhang J, et al. Analysis of quantitative trait loci for main plant traits in soybean. Genet Mol Res. 2015;14(2):6101–6109. Swaminathan S, Abeysekara N, Liu M, et al. Quantitative trait loci underlying host responses of soybean to Fusarium virguliforme toxins that cause foliar sudden death syndrome. Theor Appl Genet. 2016;129(3):495–506. Abdel-Haleem H, Carter TE, Purcell LC, et al. Mapping of quantitative trait loci for canopy-wilting trait in soybean (Glycine max L. Merr). Theor Appl Genet. 2012;125(5):837–846. Brensha W, Kantartzi S, Meksem K, et al. Genetic analysis of root and shoot traits in the ‘Essex’ by ‘Forrest’ recombinant inbred line (RIL) population of soybean [Glycine max (L.) Merr]. JPGS. 2012;1(1):1–9. Brucker E, Carlson S, Wright E, et al. Rhg1 alleles from soybean PI 437654 and PI 88788 respond differentially to isolates of Heterodera glycines in the greenhouse. Theor Appl Genet. 2005;111(1):44–49. Tischner T, Allphin L, Chase K, et al. Genetics of seed abortion and reproductive traits in soybean. Crop Sci. 2003;43(2):464–473. Hu Z, Zhang H, Kan G, et al. Determination of the genetic architecture of seed size and shape via linkage and association analysis in soybean (Glycine max L. Merr.). Genetica. 2013;141(4–6):247–254. Han Y, Teng W, Yu K, et al. Mapping QTL tolerance to phytophthora root rot in soybean using microsatellite and RAPD/SCAR derived markers. Euphytica. 2008;162(2):231–239. Fan S, Li B, Yu F, et al. Analysis of additive and epistatic quantitative trait loci underlying fatty acid concentrations in soybean seeds across multiple environments. Euphytica. 2015;206(3):689–700. Charlson D, Bhatnagar S, King C, et al. Polygenic inheritance of canopy wilting in soybean [Glycine max (L.) merr.]. Theor Appl Genet. 2009;119(4):587–594. Hwang S, King C, Ray J, et al. Confirmation of delayed canopy wilting QTLs from multiple soybean mapping populations. Theor Appl Genet. 2015;128(10):2047–2065. Hwang S, King A, Chen P, et al. Meta-analysis to refine map position and reduce confidence intervals for delayed-canopy-wilting QTLs in soybean. Mol Breed. 2016;36(7):1–4. Du W, Wang M, Fu S, et al. Mapping QTL for seed yield and drought susceptibility index in soybean (Glycine max L.) across different environments. J Genet Genomics. 2009a;36(12):721–731. Wang J, Chen P, Wang D, et al. Identification of quantitative trait loci for oil content in soybean seed. Crop Sci. 2015;55(1):23–34. Reinprecht Y, Poysa V, Yu K, et al. Seed and agronomic QTL in low linolenic acid, lipoxygenase-free soybean (Glycine max (L.) Merrill) germplasm. Genome. 2006;49(12):1510–1527. Hyten DL, Pantalone VR, Sams CE, et al. Seed quality QTL in a prominent soybean population. Theor Appl Genet. 2004;109(3):552–561. Sun Y, Pan J, Shi X, et al. Multi-environment mapping and meta-analysis of 100-seed weight in soybean. Mol Biol Rep. 2012;39(10):9435–9443. Sun D, Li W, Zhang Z, et al. Quantitative trait loci analysis for the developmental behavior of soybean (Glycine max L. Merr.). Theor Appl Genet. 2006;112(4):665–673. Vuong T, Sleper D, Shannon J, et al. Novel quantitative trait loci for broad-based resistance to soybean cyst nematode (Heterodera glycines ichinohe) in soybean PI 567516C. Theor Appl Genet. 2010;121(7):1253–1266. Li D, Pfeiffer T, Cornelius P. Soybean QTL for yield and yield components associated with Glycine soja alleles. Crop Sci. 2008;48(2):571–581. Qi Z, Wu Q, Han X, et al. Soybean oil content QTL mapping and integrating with meta-analysis method for mining genes. Euphytica. 2011;179(3):499–514. Tajuddin T, Watanabe S, Yamanaka N, et al. Analysis of quantitative trait loci for protein and lipid contents in soybean seeds using recombinant inbred lines. Breed. Sci. 2003;53(2):133–140.