1.Smith TJ, Camper HM: Effect of seed size on soybean performance. Agronomy Journal 1970, 67(5):681–684.
2.Burris JS, Edje OT, Wahab AH: Effects of seed size on seedling performance in soybeans: II. seedling growth and photosynthesis and field performance1. Crop Science 1973, 13(2).
3.Xin D, Qi Z, Jiang H, Hu Z, Zhu R, Hu J, Han H, Hu G, Liu C, Chen Q: QTL location and epistatic effect analysis of 100-seed weight using wild soybean (Glycine soja Sieb. & Zucc.) chromosome segment substitution lines. Plos One 2016, 11(3):e0149380.
4.Yan W, Yingpeng H, Xue Z, Yongguang L, Weili T, Dongmei L, Yong Z, Wenbin L: Mapping isoflavone QTL with main, epistatic and QTL × environment effects in recombinant inbred lines of soybean. Plos One 2015, 10(3):e0118447.
5.Wilson D: Storage of orthodox seeds. In: Basra AS (ed) Seed quality: basic mechanisms, agricultural implications. . New York: Food Products Press; 1995.
6.Hopper NW, Overholt JR, Martin JR: Effect of cultivar, temperature and seed size on the germination and emergence of soya beans (Glycine max (L.) Merr.). Annals of Botany 1979, 44(3):301–308.
7.Hyten DL: Seed quality QTL in a prominent soybean population. TAG Theoretical and applied genetics Theoretische und angewandte Genetik 2004, 109(3):552–561.
8.Kuroda Y, Kaga A, Tomooka N, Yano H, Takada Y, Kato S, Vaughan D: QTL affecting fitness of hybrids between wild and cultivated soybeans in experimental fields. Ecology & Evolution 2013, 3(7):2150–2168.
9.Baker H: Seed weight in relation to environmental conditions in California. Ecology 1972, 53:997–1010.
10.Leishman MR WI, Moles AT, Westoby M: The evolutionary ecology of seed size. In: Fenner M (ed) Seeds: the ecology of regeneration in plant communities: 2nd edn. CAB International, Wallingford; 2000.
11.Schimpf DJ: Seed weight of amaranthus retroflexus in relation to moisture and length of growing season. Ecology 1977, 58(2):450–453.
12.Boulli A, Baaziz M, M’Hirit O: Polymorphism of natural populations of Pinus halepensis Mill. in Morocco as revealed by morphological characters. Euphytica 2001, 119(3):309–316.
13.Murray BR, Brown AHD, Grace JP: Geographic gradients in seed size among and within perennial Australian Glycine species. Australian Journal of Botany 2003, 51(1):47–56.
14.Hartwig EE: Varietal development. In: Caldwell BE (ed) Soybeans: improvement, production, and uses. Madison: American Society of Agronomy; 1973.
15.Hoeck J, Fehr W, Shoemaker R, Welke S, Johnson S, Cianzio S: Molecular marker analysis of seed size in soybean. Crop Science 2003, 43:68–74.
16.Mian M, Bailey M, Tamulonis J, Shipe E, Carter T, Parrott W, Ashley D, Hussey R, Boerma H: Molecular markers associated with seed weight in two soybean populations. Theoretical and Applied Genetics 1996, 93(7):1011–1016.
17.Maughan PJ, Maroof MAS, Buss GR: Molecular-marker analysis of seed-weight: genomic locations, gene action, and evidence for orthologous evolution among three legume species. Theoretical and Applied Genetics 1996, 93(4):574–579.
18.Panthee DR, Pantalone VR, West DR, Saxton AM, Sams CE: Quantitative trait loci for seed protein and oil concentration, and seed size in soybean. Crop Science 2005, 45(5):2015–2022.
19.Han YP, Xie DW, Teng WL, Sun J, Li WB: QTL underlying developmental behaviour of 100-seed weight of soybean. Plant Breeding 2012, 131(5):600–606.
20.Han Y, Li D, Zhu D, Li H, Xiuping L, X., Teng W, Li W: QTL analysis of soybean seed weight across multi-genetic backgrounds and environments. Theoretical & Applied Genetics 2012, 125(4):671–683.
21.Hu, Zhenbin, Zhang, Huairen, Kan, Guizhen, Ma, Deyuan, Dan: 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.
22.Kato S, Sayama T, Fujii K, Yumoto S, Kono Y, Hwang TY, Kikuchi A, Takada Y, Yu T, Shiraiwa T: A major and stable QTL associated with seed weight in soybean across multiple environments and genetic backgrounds. Theoretical & Applied Genetics 2014, 127(6):1365–1374.
23.Wu D, Zhan Y, Sun Q, Xu L, Lian M, Zhao X, Han Y, Li W: Identification of quantitative trait loci underlying soybean ( Glycine max [L.] Merr.) seed weight including main, epistatic and QTL × environment effects in different regions of Northeast China. Plant Breeding 2018(4).
24.Yan L, Li YH, Yang CY, Ren SX, Chang RZ, Zhang MC, Qiu LJ: Identification and validation of an over-dominant QTL controlling soybean seed weight using populations derived from Glycine max × Glycine soja. Plant Breeding 2015, 133(5):632–637.
25.Fasoula VA, Harris DK, Boerma HR: Validation and designation of quantitative trait loci for seed protein, seed oil, and seed weight from two soybean populations. Crop Science 2004, 44(4):1218–1225.
26.Hoeck JA, Fehr WR, Shoemaker RC, Welke GA, Johnson SL, Cianzio SR: Molecular marker analysis of seed size in soybean. Crop Science 2003, 43(1):68–74.
27.Teng W,., Han Y,., Du Y,., Sun D,., Zhang Z,., Qiu L,., Sun G,., Li W,. QTL analyses of seed weight during the development of soybean (Glycine max L. Merr.). Heredity 2009, 102(4):372.
28.Lu X, Xiong Q, Cheng T, Li QT, Liu XL, Bi YD, Li W, Zhang WK, Ma B, Lai YC: A PP2C–1 allele underlying a quantitative trait locus enhances soybean 100-seed weight. Molecular Plant 2017, 10(5):670–684.
29.Yan L, Hofmann N, Li SX, Ferreira ME, Song BH, Jiang GL, Ren SX, Quigley C, Fickus E, Cregan P et al: Identification of QTL with large effect on seed weight in a selective population of soybean with genome-wide association and fixation index analyses. Bmc Genomics 2017, 18.
30.Zhang J, Song Q, Cregan PB, Jiang GL: Genome-wide association study, genomic prediction and marker-assisted selection for seed weight in soybean ( Glycine max). Theoretical & Applied Genetics 2016, 129(1):117–130.
31.Sun Y, Jiao G, Liu Z, Zhang X, Li J, Guo X, Du W, Du J, Francis F, Zhao Y: Generation of high-amylose rice through CRISPR/Cas9-mediated targeted mutagenesis of starch branching enzymes. Frontiers in Plant Science 2017, 8(223):298.
32.Zhu X, Liang W, Cui X, Chen M, Yin C, Luo Z, Zhu J, Lucas WJ, Wang Z, Zhang D: Brassinosteroids promote development of rice pollen grains and seeds by triggering expression of Carbon Starved Anther, a MYB domain protein. Plant Journal 2015, 82(4):570–581.
33.Luo M, Dennis E, Berger F, Peacock W, Chaudhury A: MINISEED3 (MINI3), a WRKY family gene, and HAIKU2 (IKU2), a leucine-rich repeat (LRR) KINASE gene, are regulators of seed size in Arabidopsis. Proceedings of the National Academy of Sciences of the United States of America 2005, 102(48):17531–17536.
34.Masatake K, Makoto H, Maki K, Mikio N: The plastidic DEAD-box RNA helicase 22, HS3, is essential for plastid functions both in seed development and in seedling growth. Plant and Cell Physiology 2013, 54(9):1431–1440.
35.Bhatnagar N, Min MK, Choi EH, Kim N, Moon SJ, Yoon I, Kwon T, Jung KH, Kim BG: The protein phosphatase 2C clade A protein OsPP2C51 positively regulates seed germination by directly inactivating OsbZIP10. Plant Molecular Biology 2017, 93(4–5):1–13.
36.Zhang Y, He J, Wang Y, Xing G, Zhao J, Li Y, Yang S, Palmer RG, Zhao T, Gai J: Establishment of a 100-seed weight quantitative trait locus–allele matrix of the germplasm population for optimal recombination design in soybean breeding programmes. Journal of Experimental Botany 2015, 66(20):6311.
37.Kim K, Diers B, Hyten D, Rouf M, Shannon J, Nelson R: Identification of positive yield QTL alleles from exotic soybean germplasm in two backcross populations. Theoretical & Applied Genetics 2012, 125(6):1353–1369.
38.Rossi M, Orf J, Liu L, Dong Z, Rajcan I: Genetic basis of soybean adaptation to North American vs. Asian mega-environments in two independent populations from Canadian × Chinese crosses. Theoretical & Applied Genetics 2013, 126(7):1809–1823.
39.Kim H, Kim Y, Kim S, Son B, Choi Y, Kang J, Park Y, Cho Y, Cho I: Analysis of quantitiative trait loci (QTLs) for seed size and fatty acid composition using recombinant inbred lines in soybean. J Life Sci 2010, 20:1186–1192.
40.Liu W, Kim MY, Van K, Lee YH, Li H, Liu X, Lee SH: QTL identification of yield-related traits and their association with flowering and maturity in soybean. Journal of Crop Science & Biotechnology 2011, 14(1):65–70.
41.Yao D,., Liu ZZ, Zhang J,., Liu SY, Qu J,., Guan SY, Pan LD, Wang D,., Liu JW, Wang PW: Analysis of quantitative trait loci for main plant traits in soybean. Genetics & Molecular Research Gmr 2015, 14(2):6101.
42.Li D, Pfeiffer T, Cornelius P: Soybean QTL for yield and yield components associated with alleles. Crop Science 2008, 48(2):571–581.
43.Sun X, Liu D, Zhang X, Li W, Liu H, Hong W, Jiang C, Guan N, Ma C, Zeng H et al: SLAF-seq: an efficient method of large-scale de novo SNP discovery and genotyping using high-throughput sequencing. Plos One 2013, 8(3):e58700.
44.Zhou Z, Jiang Y, Wang Z, Gou Z, Lyu J, Li W, Yu Y, Shu L, Zhao Y, Ma Y et al: Resequencing 302 wild and cultivated accessions identifies genes related to domestication and improvement in soybean. Nature biotechnology 2015, 33(4):408–414.
45.Lipka AE, Tian F, Wang QS, Peiffer J, Li M, Bradbury PJ, Gore MA, Buckler ES, Zhang ZW: GAPIT: genome association and prediction integrated tool. Bioinformatics 2012, 28(18):2397–2399.
46.Bradbury P, Zhang Z, Kroon D, Casstevens T, Y, Buckler E: TASSEL: software for association mapping of complex traits in diverse samples. Bioinformatics 2007, 23(19):2633–2635.
47.Holm S: A simple sequentially rejective multiple test procedure. Scandinavian Journal of Statistics 1979, 6(2):65–70.