Role of conventional and molecular techniques in soybean yield and quality improvement: A critical review
Keywords:conventional methods, molecular techniques, soybean, yield, quality
The soybean is one of the most significant legume crops around the globe and serves as a source of dietary components for humans and animals. It has a higher percentage of protein compared to any other crop. Soybean yield and quality have been affected by many environmental factors. The genetic mechanism of yield and quality is still not clearly understood. Hence there is still a need to investigate the major potent factors to shed light on the mechanism behind yield and quality traits in soybean. Recently, a lot of significant work, including novel QTL, genes, and CRISPR-based genome editing in soybeans, has been done, which opened new doors of hope. The current review has presented detailed work done previously. We have also discussed the role of different breeding techniques in the conventional way of soybean improvement. The genetic factors regulating yield, quality, and disease resistance could be further cloned and transferred into elite cultivars to attain higher output in the current situation of changing environment. The integrated use of several techniques, like CRISPR/Cas9, next-generation sequencing, omics approaches, would be a fruitful way to improve soybean yield and quality. Besides this, hybridization, mass selection, pure line selection, backcross breeding, and pedigree selection should be adopted to develop novel soybean cultivars. This review concluded that soybean yield and quality improvement could be enhanced by exploring its genetic mechanism using several molecular and conventional methods.
Ahmar S, Gill RA, Jung KH, Faheem A, Qasim MU, Mubeen M, Zhou W (2020). Conventional and molecular techniques from simple breeding to speed breeding in crop plants: recent advances and future outlook. International Journal of Molecular Sciences 21:2590. https://doi.org/10.3390/ijms21072590
Al Amin N, Ahmad N, Wu N, Pu X, Ma T, Du Y, Bo X, Wang N, Sharif R, Wang (2019). CRISPR-Cas9 mediated targeted disruption of FAD2–2 microsomal omega-6 desaturase in soybean (Glycine max L.). BMC Biotechnology 19:1-10. https://doi.org/10.1186/s12896-019-0501-2
Alam T, Suryanto P, Handayani S, Kastono D, Kurniasih B (2020). Optimizing application of biochar, compost and nitrogen fertilizer in soybean intercropping with kayu putih (Melaleuca cajuputi). Revista Brasileira de Ciência do Solo 44:e0200003. https://doi.org/10.36783/18069657rbcs20200003
Aldemita RR, Hautea RA (2018). Biotech crop planting resumes high adoption in 2016. GM Crops and Food 9:1-12. https://doi.org/10.1080/21645698.2018.1428166
Alfonso M (2020). Improving soybean seed oil without poor agronomics. Journal of Experimental Botany 71:6857-6860. https://doi.org/10.1093/jxb/eraa407
Amiri H, Ghalavand A, Mokhtassi-Bidgoli A (2021). Growth, seed yield and quality of soybean as affected by integrated fertilizer managements and zeolite application. Communications in Soil Science Plant Analysis 52:1834-1851. https://doi.org/10.1080/00103624.2021.1900222
Andrews KR, Good JM, Miller MR, Luikart G, Hohenlohe PA (2016). Harnessing the power of RADseq for ecological and evolutionary genomics. Nature Reviews Genetics 17:81-92. https://doi.org/10.1038/nrg.2015.28
Arora L, Narula A (2017). Gene editing and crop improvement using CRISPR-Cas9 system. Frontiers in Plant Science 8:1932. https://doi.org/10.3389/fpls.2017.01932
Ashraf M, Akram N, Arteca RN, Foolad MR (2010). The physiological, biochemical and molecular roles of brassinosteroids and salicylic acid in plant processes and salt tolerance. Critical Reviews in Plant Sciences 29:162-190. https://doi.org/10.1080/07352689.2010.483580
Aytaç S, Çirak C, Özçelik H (2007). Foliar zinc application on yield and quality characters of soybean. Asian Journal of Chemistry 19(3):2410-2418.
Bai M, Yuan J, Kuang H, Gong P, Li S, Zhang Z, … Yang L (2020). Generation of a multiplex mutagenesis population via pooled CRISPR‐Cas9 in soya bean. Plant Biotechnology Journal 18:721-731. https://doi.org/10.1111/pbi.13239
Bao A, Chen H, Chen L, Chen S, Hao Q, Guo W, … Yuan S (2019). CRISPR/Cas9-mediated targeted mutagenesis of GmSPL9 genes alters plant architecture in soybean. BMC Plant Biology 19:1-12. https://doi.org/10.1186/s12870-019-1746-6
Bhat JA, Ali S, Salgotra RK, Mir ZA, Dutta S, Jadon V, … Singh PK (2016). Genomic selection in the era of next generation sequencing for complex traits in plant breeding. Frontiers in Genetics 7:221. https://doi.org/10.3389/fgene.2016.00221
Cai Y, Chen L, Liu X, Guo C, Sun S, Wu C, … Hou W (2018). CRISPR/Cas9‐mediated targeted mutagenesis of GmFT2a delays flowering time in soya bean. Plant Biotechnology Journal 16:176-185. https://doi.org/10.1111/pbi.12758
Cai Y, Wang L, Chen L, Wu T, Liu L, Sun S, … Yuan S (2020). Mutagenesis of GmFT2a and GmFT5a mediated by CRISPR/Cas9 contributes for expanding the regional adaptability of soybean. Plant Biotechnology Journal 18:298-309. https://doi.org/10.1111/pbi.13199
Cai Z, Xian P, Cheng Y, Ma Q, Lian T, Nian H,Ge LJPBJ (2021). CRISPR/Cas9‐mediated gene editing of GmJAGGED1 increased yield in the low‐latitude soybean variety Huachun 6. Plant Biotechnology Journal 19(10):1898-1900. https://doi.org/10.1111/pbi.13673
Campbell BW, Hoyle JW, Bucciarelli B, Stec AO, Samac DA, Parrott WA, Stupar RMJGc (2019). Functional analysis and development of a CRISPR/Cas9 allelic series for a CPR5 ortholog necessary for proper growth of soybean trichomes. Scientific Reports 9:1-11. https://doi.org/10.1038/s41598-019-51240-7
Carter T, Hymowitz T, Nelson R (2004). Biogeography, local adaptation, Vavilov, and genetic diversity in soybean. In: Biological Resources and Migration. Springer, pp 47-59.
Chaudhary J, Patil GB, Sonah H, Deshmukh RK, Vuong TD, Valliyodan B, Nguyen HT (2015). Expanding omics resources for improvement of soybean seed composition traits. Frontiers in Plant Science 6:1021. https://doi.org/10.3389/fpls.2015.01021
Chen X, Yang S, Zhang Y, Zhu X, Yang X, Zhang C, Li H, Feng X (2021). Generation of male-sterile soybean lines with the CRISPR/Cas9 system. The Crop Journal 1-18. https://doi.org/10.1016/j.cj.2021.05.003
Cheng SH, Zhuang JY, Fan YY, Du JH, Cao LY (2007). Progress in research and development on hybrid rice: a super-domesticate in China. Annals of Botany 100:959-966. https://doi.org/10.1093/aob/mcm121
Chiluwal A, Haramoto ER, Hildebrand D, Naeve S, Poffenbarger H, Purcell LC, Salmeron M (2021). Late-season nitrogen applications increase soybean yield and seed protein concentration. Frontiers in Plant Science 12:715940. https://doi.org/10.3389/fpls.2021.715940
Cober ER, Morrison MJ (2010). Regulation of seed yield and agronomic characters by photoperiod sensitivity and growth habit genes in soybean. Theoretical and Applied Genetics 120:1005-1012. http://dx.doi.org/10.1007/s00122-009-1228-6
Cober ER, Voldeng HD (2008). Mass selection for small seed size in natto soybean populations and the resulting effect on seed yield. Crop Science 48:1337-1340. https://doi.org/10.2135/cropsci2007.07.0389
Contini E, Pena J, Vieira P (2013). Drought in the USA: agricultural prices and implications for Brazil. Revista de Politica Agricola 22:85-97.
Curtin SJ, Zhang F, Sander JD, Haun WJ, Starker C, Baltes NJ, … Coffman AP (2011). Targeted mutagenesis of duplicated genes in soybean with zinc-finger nucleases. Plant Physiology 156:466-473. https://doi.org/10.1104/pp.111.172981
Divito GA, Echeverría HE, Andrade FH, Sadras VO (2016). Soybean shows an attenuated nitrogen dilution curve irrespective of maturity group and sowing date. Field Crops Research 186:1-9. https://doi.org/10.1016/j.fcr.2015.11.004
Do PT, Nguyen CX, Bui HT, Tran LT, Stacey G, Gillman JD, … Stacey MG (2019). Demonstration of highly efficient dual gRNA CRISPR/Cas9 editing of the homeologous GmFAD2–1A and GmFAD2–1B genes to yield a high oleic, low linoleic and α-linolenic acid phenotype in soybean. BMC Plant Biology 19:1-14. https://doi.org/10.1186/s12870-019-1906-8
Dong Y, Zhao L, Liu B, Wang Z, Jin Z, Sun H (2004). The genetic diversity of cultivated soybean grown in China. Theoretical and Applied Genetics 108:931-936. https://doi.org/10.1007/s00122-003-1503-x
Du H, Zeng X, Zhao M, Cui X, Wang Q, Yang H, Cheng H, Yu D (2016). Efficient targeted mutagenesis in soybean by TALENs and CRISPR/Cas9. Journal of Biotechnology 217:90-97. https://doi.org/10.1016/j.jbiotec.2015.11.005
Duvick DN (2001). Biotechnology in the 1930s: the development of hybrid maize. Nature Reviews Genetics 2:69-74. https://doi.org/10.1038/35047587
Editing WAG (2020). CRISPR-Cas9. US National Library of Medicine: Genetics Home Reference.
Egli D, Cornelius P (2009). A regional analysis of the response of soybean yield to planting date. Agronomy Journal 101:330-335.
EL Toum GA, Khalifa NM,Ahmed AMS, Idris HAR (2020). Effect of planting date and sowing method on yield and grain quality of soybean (Glycine max L.) under North Sudan conditions. Moroccan Journal of Agricultural Sciences 1.
Falco S, Guida T, Locke M, Mauvais J, Sanders C, Ward R, Webber P (1995). Transgenic canola and soybean seeds with increased lysine. Biotechnology 13:577-582. https://doi.org/10.1038/nbt0695-577
Fang X, Sun X, Yang X, Li Q, Lin C, Xu J, Gong W, Wang Y, Liu L, Zhao L (2021). MS1 is essential for male fertility by regulating the microsporocyte cell plate expansion in soybean. Science China Life Sciences 64:1533-1545. https://doi.org/10.1007/s11427-021-1973-0
Gai Z, Zhang J, Li C (2017). Effects of starter nitrogen fertilizer on soybean root activity, leaf photosynthesis and grain yield. PloS One 12:e0174841. https://doi.org/10.1371/journal.pone.0174841
Getachew T (2019). Pulse crops production opportunities, challenges and its value chain in Ethiopia: A review article. Journal of Environment Earth Science 9:20-29. https://doi.org/10.7176/JEES/9-1-03
Gizlice Z, Carter Jr TE, Gerig T, Burton J (1996). Genetic diversity patterns in North American public soybean cultivars based on coefficient of parentage. Crop Science 36:753-765. https://doi.org/10.2135/cropsci1996.0011183X003600030038x
Gorjanc G, Cleveland MA, Houston RD, Hickey JM (2015). Potential of genotyping-by-sequencing for genomic selection in livestock populations. Genetics Selection Evolution 47:1-14. https://doi.org/10.1186/s12711-015-0102-z
Guo J, Wang Y, Song C, Zhou J, Qiu L, Huang H, Wang Y (2010). A single origin and moderate bottleneck during domestication of soybean (Glycine max): implications from microsatellites and nucleotide sequences. Annals of Botany 106:505-514. https://doi.org/10.1093/aob/mcq125
Gupta PK, Balyan HS, Gahlaut V, Saripalli G, Pal B, Basnet BR, Joshi AK (2019). Hybrid wheat: past, present and future. Theoretical and Applied Genetics 132:2463-2483. https://doi.org/10.1007/s00122-019-03397-y
Gutierrez-Gonzalez JJ, Mascher M, Poland J, Muehlbauer GJ (2019). Dense genotyping-by-sequencing linkage maps of two synthetic W7984× Opata reference populations provide insights into wheat structural diversity. Scientific Reports 9:1-15. https://doi.org/10.1038/s41598-018-38111-3
Habier D, Fernando RL, Dekkers JC (2007). The impact of genetic relationship information on genome-assisted breeding values. Genetics 177:2389-2397. https://doi.org/10.1534/genetics.107.081190
Hacisalihoglu G, Burton AL, Gustin JL, Eker S, Asikli S, Heybet EH, Ozturk L, Cakmak I, Yazici A, Burkey KO (2018). Quantitative trait loci associated with soybean seed weight and composition under different phosphorus levels. Journal of Integrative Plant Biology 60:232-241. https://doi.org/10.1111/jipb.12612
Han J, Guo B, Guo Y, Zhang B, Wang X, Qiu LJ (2019). Creation of early flowering germplasm of soybean by CRISPR/Cas9 technology. Frontiers in Plant science 10:1446. https://doi.org/10.3389/fpls.2019.01446
Han Y, Li D, Zhu D, Li H, Li X, Teng W, Li W (2012). QTL analysis of soybean seed weight across multi-genetic backgrounds and environments. Theoretical and Applied Genetics 125:671-683. https://doi.org/10.1007/s00122-012-1859-x
Happ MM, Wang H, Graef GL, Hyten DL (2019). Generating high-density, low-cost genotype data in soybean [Glycine max (L.) Merr.]. G3: Genes, Genomes, Genetics 9:2153-2160. https://doi.org/10.1534/g3.119.400093
Hartung R, Specht J, Williams J (1981). Modification of soybean plant architecture by genes for stem growth habit and maturity 1. Crop Science 21:51-56. https://doi.org/10.2135/cropsci1981.0011183X002100010015x
Haun W, Coffman A, Clasen BM, Demorest ZL, Lowy A, Ray E, Retterath A, Stoddard T, Juillerat A, Cedrone F (2014). Improved soybean oil quality by targeted mutagenesis of the fatty acid desaturase 2 gene family. Plant Biotechnology Journal 12:934-940. https://doi.org/10.1111/pbi.12201
Hayat Q, Hayat S, Irfan M, Ahmad A (2010). Effect of exogenous salicylic acid under changing environment: a review. Environmental and Experimental Botany 68:14-25. https://doi.org/10.1016/j.envexpbot.2009.08.005
He R, Zhu D, Chen X, Cao Y, Chen Y, Wang X (2019). How the trade barrier changes environmental costs of agricultural production: An implication derived from China's demand for soybean caused by the US-China trade war. Journal of Cleaner Production 227:578-588. https://doi.org/10.1016/j.jclepro.2019.04.192
Hickey JM, Chiurugwi T, Mackay I, Powell W (2017). Genomic prediction unifies animal and plant breeding programs to form platforms for biological discovery. Nature Genetics 49:1297-1303. https://doi.org/10.1038/ng.3920
Hina A, Cao Y, Song S, Li S, Sharmin RA, Elattar MA, Bhat JA, Zhao T (2020). High-resolution mapping in two RIL populations refines major “QTL Hotspot” regions for seed size and shape in soybean (Glycine max L.). International Journal of Molecular Sciences 21:1040. https://doi.org/10.3390/ijms21031040
Ho P-T (1975). The cradle of the east: An inquiry into the indigenous origins of techniques and ideas of Neolitic and early historic China, 5000-1000 BC. Hong Kong: The Chinese University of Hong Kong, and Chicago: The University of Chicago Press, 1975.
Hua W, Luo P, An N, Cai F, Zhang S, Chen K, Yang J, Han X (2020). Manure application increased crop yields by promoting nitrogen use efficiency in the soils of 40-year soybean-maize rotation. Scientific Reports 10:1-10. https://doi.org/10.1038/s41598-020-71932-9
Huang W, Hou J, Hu Q, An J, Zhang Y, Han Q, … Wang J (2021). Pedigree-based genetic dissection of quantitative loci for seed quality and yield characters in improved soybean. Molecular Breeding 41:1-15. https://doi.org/10.1007/s11032-021-01211-6
Hyten DL, Song Q, Zhu Y, Choi IY, Nelson RL, Costa JM, Specht JE, Shoemaker RC, Cregan PB (2006). Impacts of genetic bottlenecks on soybean genome diversity. Proceedings of the National Academy of Sciences 103:16666-16671. https://doi.org/10.1073/pnas.0604379103
Jacobs TB, LaFayette PR, Schmitz RJ, Parrott W (2015). Targeted genome modifications in soybean with CRISPR/Cas9. BMC Biotechnology 15:1-10. https://doi.org/10.1186/s12896-015-0131-2
Jarecki W, Bobrecka-Jamro D (2021). Effect of sowing date on the yield and seed quality of Soybean [Glycine max (L.) Merr.]. Journal of Elementology 26:7-18.
Jiang B, Cheng Y, Cai Z, Li M, Jiang Z, Ma R, Yuan Y, Xia Q, Nian H (2020). Fine mapping of a Phytophthora-resistance locus RpsGZ in soybean using genotyping-by-sequencing. BMC Genomics 21:1-11. https://doi.org/10.1186/s12864-020-6668-z
Kanazashi Y, Hirose A, Takahashi I, Mikami M, Endo M, Hirose S, Toki S, Kaga A, Naito K, Ishimoto M (2018). Simultaneous site-directed mutagenesis of duplicated loci in soybean using a single guide RNA. Plant Cell Reports 37:553-563. https://doi.org/10.1007/s00299-018-2251-3
Karikari B, Chen S, Xiao Y, Chang F, Zhou Y, Kong J, Bhat JA, Zhao TJE (2019). Utilization of interspecific high-density genetic map of RIL population for the QTL detection and candidate gene mining for 100-seed weight in soybean. Frontiers in Plant Science 10:1001. https://doi.org/10.3389/fpls.2019.01001
Kato S, Sayama T, Fujii K, Yumoto S, Kono Y, Hwang TY, Kikuchi A, Takada Y, Tanaka Y, Shiraiwa TJT (2014). A major and stable QTL associated with seed weight in soybean across multiple environments and genetic backgrounds. Theoretical Applied Genetics 127:1365-1374. https://doi.org/10.1007/s00122-014-2304-0
Kempster R, Barat M, Bishop L, Rufino M, Borras L, Dodd IC (2021). Genotype and cytokinin effects on soybean yield and biological nitrogen fixation across soil temperatures. Annals of Applied Biology 178:341-354. https://doi.org/10.1111/aab.12652
Khan BA, Ali A, Nadeem MA, Elahi A, Adnan M, Amin MM, Ali MF, Waqas M, Aziz A, Sohail MK (2020). Impact of planting date and row spacing on growth, yield and quality of soybean: A Review. Journal of Biodiversity and Environmental Sciences 17:121-129.
Khan W, Prithiviraj B, Smith DL (2003). Photosynthetic responses of corn and soybean to foliar application of salicylates. Journal of Plant Physiology 160:485-492.
Kim H, Kim ST, Ryu J, Kang BC, Kim JS, Kim SG (2017). CRISPR/Cpf1-mediated DNA-free plant genome editing. Nature Communications 8:1-7. https://doi.org/10.1038/ncomms14406
Kim MY, Van K, Kang YJ, Kim KH, Lee SH (2012). Tracing soybean domestication history: From nucleotide to genome. Breeding Science 61:445-452. https://doi.org/10.1270/jsbbs.61.445
Klumpp G (2018). Effects of a plant growth regulator product on soybean at R2-R3. https://dr.lib.iastate.edu/handle/20.500.12876/17165
Lakpale R,Tripathi VK (2012). Broad-bed furrow and ridge and furrow method of sowing under different seed rates of soybean (Glycine max L.) for high rainfall areas of Chhattisgarh plains. Soybean Research 10:52-59.
Lee C, Choi MS, Kim HT, Yun HT, Lee B, Chung YS, Kim RW, Choi HK (2015). Soybean [Glycine max (L.) Merrill]: Importance as a crop and pedigree reconstruction of Korean varieties. Plant Breeding and Biotechnology 3:179-196. https://doi.org/10.9787/PBB.2015.3.3.179
Lee GA, Crawford GW, Liu L, Sasaki Y, Chen X (2011). Archaeological soybean (Glycine max) in East Asia: does size matter? PloS One 6:e26720. https://doi.org/10.1371/journal.pone.0026720
Letham JL, Ketterings QM, Cherney JH, Overton TR (2021). Impact of sulfur application on soybean yield and quality in New York. Agronomy Journal 113:2851-2871. https://doi.org/10.1002/agj2.20690
Li D (2006). Soybean QTL for yield and yield components associated with Glycine soja alleles. University of Kentucky Doctoral Dissertations 331. https://uknowledge.uky.edu/gradschool_diss/331
Li F, Zhang X, Hu R, Wu F, Ma J, Meng Y, Fu Y (2013). Identification and molecular characterization of FKF1 and GI homologous genes in soybean. PLoS One 8:e79036. https://doi.org/10.1371/journal.pone.0079036
Li R, Jiang H, Zhang Z, Zhao Y, Xie J, Wang Q, … Xin D (2020). Combined linkage mapping and BSA to identify QTL and candidate genes for plant height and the number of nodes on the main stem in soybean. International Journal of Molecular Sciences 21:42. https://doi.org/10.3390/ijms21010042
Li YH, Li W, Zhang C, Yang L, Chang RZ, Gaut BS, Qiu LJ (2010). Genetic diversity in domesticated soybean (Glycine max) and its wild progenitor (Glycine soja) for simple sequence repeat and single‐nucleotide polymorphism loci. New Phytologist 188:242-253. https://doi.org/10.1111/j.1469-8137.2010.03344.x
Liang HZ, Yu YL, Wang SF, Yun L, Wang TF, Wei YL, Gong PT, Liu XY, Fang XJ, Zhang MC (2010). QTL mapping of isoflavone, oil and protein contents in soybean (Glycine max L. Merr.). Agricultural Sciences in China 9:1108-1116. https://doi.org/10.1016/S1671-2927(09)60197-8
Liu D, Yan Y, Fujita Y, Xu DJBs (2018). Identification and validation of QTLs for 100-seed weight using chromosome segment substitution lines in soybean. Breeding Science 68:442-448. https://doi.org/10.1270/jsbbs.17127
Liu J, Li M, Zhang Q, Wei X, Huang X (2020a). Exploring the molecular basis of heterosis for plant breeding. Journal of Integrative Plant Biology 62:287-298. https://doi.org/10.1111/jipb.12804
Liu K (2012). Soybeans: chemistry, technology, and utilization. Springer.
Liu N, Li M, Hu X, Ma Q, Mu Y, Tan Z, Xia Q, Zhang G, Nian H (2017a). Construction of high-density genetic map and QTL mapping of yield-related and two quality traits in soybean RILs population by RAD-sequencing. BMC Genomics18:1-13. https://doi.org/10.1186/s12864-017-3854-8
Liu S, Zhang M, Feng F, Tian Z (2020b). Toward a “green revolution” for soybean. Molecular Plant 13:688-697. https://doi.org/10.1016/j.molp.2020.03.002
Liu Z, Li H, Wen Z, Fan X, Li Y, Guan R, Guo Y, Wang S, Wang D, Qiu L (2017b). Comparison of genetic diversity between Chinese and American soybean (Glycine max (L.)) accessions revealed by high-density SNPs. Frontiers in Plant Science 8:2014. https://doi.org/10.3389/fpls.2017.02014
Llanes A, Iparraguirre J, Masciarelli O, Maria N, Luna MV (2019). Foliar application of phytohormones enhances growth of maize and soybean seedlings. Rep. No. 0325-8718, Ediciones INTA.
Lueschen W, Ford J, Evans S, Kanne B, Hoverstad T, Randall G, Orf J, Hicks D (1992). Tillage, row spacing, and planting date effects on soybean following corn or wheat. Journal of Production Agriculture 5:254-260. https://doi.org/10.2134/jpa1992.0254
Ma J, Sun S, Whelan J, Shou H (2021). CRISPR/Cas9-Mediated knockout of GmFATB1 significantly reduced the amount of saturated fatty acids in soybean seeds. International Journal of Molecular Sciences 22:3877. https://doi.org/10.3390/ijms22083877
Ma Y, Kan G, Zhang X, Wang Y, Zhang W, Du H, Yu D (2016). Quantitative trait loci (QTL) mapping for glycinin and β-conglycinin contents in soybean (Glycine max L. Merr.). Journal of Agricultural Food Chemistry 64:3473-3483. https://doi.org/10.1021/acs.jafc.6b00167
Michno JM, Wang X, Liu J, Curtin SJ, Kono TJ, Stupar RM (2015). CRISPR/Cas mutagenesis of soybean and Medicago truncatula using a new web-tool and a modified Cas9 enzyme. GM Crops 6:243-252. https://doi.org/10.1080/21645698.2015.1106063
Mir RR, Reynolds M, Pinto F, Khan MA, Bhat MA (2019). High-throughput phenotyping for crop improvement in the genomics era. Plant Scienc 282:60-72. https://doi.org/10.1016/j.plantsci.2019.01.007
Nagy ED, Stevens JL, Yu N, Hubmeier CS, LaFaver N, Gillespie M, Gardunia B, Cheng Q, Johnson S, Vaughn A (2021). Novel disease resistance gene paralogs created by CRISPR/Cas9 in soy. Plant Cell Reports 40:1047-1058. https://doi.org/10.1007/s00299-021-02678-5
National Research Council (2004). National Research Council (US) Committee on Identifying and Assessing Unintended Effects of Genetically Engineered Foods on Human Health. Safety of Genetically Engineered Foods: Approaches to Assessing Unintended Health Effects. Washington (DC): National Academies Press (US), PMID: 25009871.
Nguyen CX, Paddock KJ, Zhang Z, Stacey MG (2021). GmKIX8‐1 regulates organ size in soybean and is the causative gene for the major seed weight QTL qSw17‐1. New Phytologist 229:920-934. https://doi.org/10.1111/nph.16928
Nico M, Miralles DJ, Kantolic AG (2019). Natural post-flowering photoperiod and photoperiod sensitivity: Roles in yield-determining processes in soybean. Field Crops Research 231:141-152. https://doi.org/10.1016/j.fcr.2018.10.019
Nonokawa K, Kokubun M, Nakajima T, Nakamura T, Yoshida R (2007). Roles of auxin and cytokinin in soybean pod setting. Plant Production Science 10:199-206. https://doi.org/10.1626/pps.10.199
Obata H, Manabe A (2011). Issues on the early agriculture in Korea and Japan, based on recent archaeobotanical studies. In: Current research on the Neolithic period in Japan and Korea: Proceedings of the 9th conference of the Kyushu Jomon Kenkyukai and the Korean Neolithic Research Society. Iki: Kyushu Jomon Kenkyukai, pp 1-30.
Ohyama T, Tewari K, Ishikawa S, Tanaka K, Kamiyama S, Ono Y, Hatano S, Ohtake N, Sueyosh K, Hasegawa H (2017). Role of nitrogen on growth and seed yield of soybean and a new fertilization technique to promote nitrogen fixation and seed yield. In: Kasai NM (Ed). Soybean: The Basis of Yield, Biomass and Productivity, pp 153-18. https://doi.org/doi:10.5772/66743
Onyenali T, Olowe V, Fabunmi T, Soretire A (2020). Organic fertilizers improve the growth, seed quality and yield of newly released soybean (Glycine max (L.) Merrill) varieties in the tropics. Organic Agriculture 10:155-170. https://doi.org/10.1007/s13165-019-00258-2
Palmer R, Gai J, Sun H, Burton J (2001). Production and evaluation of hybrid soybean. Plant Breeding Reviews 21:263-307.
Panthee D, Pantalone V, Saxton A, West D, Sams C (2007). Quantitative trait loci for agronomic traits in soybean. Plant Breeding 126:51-57. https://doi.org/10.1111/j.1439-0523.2006.01305.x
Prince SJ, Vuong TD, Wu X, Bai Y, Lu F, Kumpatla SP, Valliyodan B, Shannon JG, Nguyen HT (2020). Mapping quantitative trait loci for soybean seedling shoot and root architecture traits in an inter-specific genetic population. Frontiers in Plant Science 11:1284. https://doi.org/10.3389/fpls.2020.01284
Qi Z, Song J, Zhang K, Liu S, Tian X, Wang Y, Fang Y, Li X, Wang J, Yang C (2020). Identification of QTNs controlling 100-seed weight in soybean using multilocus genome-wide association studies. Frontiers in Genetics 11:689. https://doi.org/10.3389/fgene.2020.00689
Rasheed A, Ahmed S, Wassan GM, Solangi AM, Aamer M, Khanzada H, Keerio AA, Qadeer A, Israr A (2018). Estimation of hybrid vigor for yield and yield related traits in tomato (Solanum lycopersicon Mill). International Journal of Bioscience 12(1):160-167. http://dx.doi.org/10.12692/ijb/12.1.160-167
Rasheed A, Ilyas M, Khan TN, Nawab NN, Ahmed I, Hussain MM, Khan AA, Kabir N, Intikhab A (2017). Genetic association and path coefficient analysis among yield and yield related traits in tomato (Solanum lycopersicon Mill.). International Journal of Biosciences 11(5):21-26. https://doi.org/10.12692/ijb/11.5.21-26.
Rasheed A, Tahir MM, Ilyas M (2019). An investigation on genetic variability for different quantitative and qualitative traits of wheat (Triticum aestivum L) genotypes. Gomal University Journal of Research 35(1):67-74.
Rasheed A, Fahad S, Hassan MU, Tahir MM, Aamer M, Wu Z (2020a). A review on aluminum toxicity and quantitative trait loci maping in rice (Oryza sativa L). Applied Ecology and Environmental Research 18:3951-3961. http://dx.doi.org/10.15666/aeer/1803_39513964
Rasheed A, Fahad S, Amer M, Hassan MU, Tahir MM, Wu Z (2020b). Role of genetic factors in regulating cadmium uptake, transport and accumulation mechanisms and quantitative trait loci mapping in rice. a review. Applied Ecology and Environmental Research 18:4005-4023. http://dx.doi.org/10.15666/aeer/1803_40054023
Rasheed A, Gill RA, Hassan MU, Mahmood A, Qari S, Zaman QU, … Wu Z (2021a). A critical review: recent advancements in the use of CRISPR/Cas9 technology to enhance crops and alleviate global food crises. Current Issues in Molecular Biology 43:1950-1976. https://doi.org/10.3390/cimb43030135
Rasheed A, Hassan M, Aamer M, Bian J, Xu Z, He X,Wu Z (2020). Iron toxicity, tolerance and quantitative trait loci mapping in rice: a review. Applied Ecology and Environmental Research 18:7483-7498. http://dx.doi.org/10.15666/aeer/1806_74837498
Rasheed A, Hassan MU, Fahad S, Aamer M, Batool M, Ilyas M, Shang F, Wu Z, Li H (2021b). Heavy metals stress and plants defense responses. In: Sustainable Soil and Land Management and Climate Change. CRC Press, pp 57-82.
Rasheed A, Wassan GM, Khanzada H, Solangi AM, Han R, Li H, Bian J, Wu Z (2021c). Identification of genomic regions at seedling related traits in response to aluminium toxicity using a new high-density genetic map in rice (Oryza sativa L.). Genetic Resources and Crop Evolution 68:1889-1903. https://doi.org/10.1007/s10722-020-01103-2
Rincker K, Nelson R, Specht J, Sleper D, Cary T, Cianzio SR, Casteel S, Conley S, Chen P, Davis V (2014). Genetic improvement of US soybean in maturity groups II, III, and IV. Crop Breeding and Genetics 54:1419-1432. https://doi.org/10.2135/cropsci2013.10.0665
Robinson AP, Conley SP, Volenec JJ, Santini JB (2009). Analysis of high yielding, early‐planted soybean in Indiana. Agronomy Journal 101:131-139.
Santner A, Estelle M (2009). Recent advances and emerging trends in plant hormone signalling. Nature 459:1071-1078. https://doi.org/10.1038/nature08122
Santos LO, Moraes LAC, Petineli R, Moretti LG, Moreira A (2020). Yield, yield components, soil fertility, and nutritional status of soybean as influenced by limestone and copper interactions. Journal of Plant Nutrition 43:2445-2454. https://doi.org/10.1080/01904167.2020.1783308
Seiler GJ,Qi LL,Marek LF (2017). Utilization of sunflower crop wild relatives for cultivated sunflower improvement. Crop Science 57:1083-1101. https://doi.org/10.2135/cropsci2016.10.0856
Shahkoomahally E, Shahkoomahally S (2017). Investigating of N and K Fertilizers on yield and components of soybean (Glycine max (L.). Journal of Agricultural Science 9:85. https://doi.org/10.5539/jas.v9n10p85
Sharmin RA, Bhuiyan MR, Lv W,Yu Z, Chang F, Kong J, Bhat JA, Zhao T (2020). RNA-Seq based transcriptomic analysis revealed genes associated with seed-flooding tolerance in wild soybean (Glycine soja Sieb. & Zucc.). Environmental Experimental Botany 171:103906. https://doi.org/10.1016/j.envexpbot.2019.103906
Shea Z, Singer WM, Zhang B (2020). Soybean production, versatility, and improvement. In: Legume Crops-Prospects, Production and Uses. IntechOpen.
Silva LCC, da Matta LB, Pereira GR, Bueno RD, Piovesan ND, Cardinal AJ, God PIVG, Ribeiro C, Dal-Bianco M (2021). Association studies and QTL mapping for soybean oil content and composition. Euphytica 217:1-18. https://doi.org/10.1007/s10681-020-02755-y
Solanke A, Pawar G, Dhage R, Kamble B (2018). Effect of plant growth regulators on growth and yield of soybean (Glycine max L.) applied at different stages. International Journal of Chemical Studies 6:2962-2966.
Steiner B, Michel S, Maccaferri M, Lemmens M, Tuberosa R, Buerstmayr H (2019). Exploring and exploiting the genetic variation of Fusarium head blight resistance for genomic-assisted breeding in the elite durum wheat gene pool. Theoretical and Applied Genetics 132:969-988. https://doi.org/10.1007/s00122-018-3253-9
Su D, Jiang S, Wang J, Yang C, Li W,Li WX, Ning HJB, Equipment B (2019). Identification of major QTLs associated with agronomical traits and candidate gene mining in soybean. Biotechnology and Biotechnological Equipment 33:1481-1493. https://doi.org/10.1080/13102818.2019.1674691
Sun X, Hu Z, Chen R, Jiang Q, Song G, Zhang H, Xi Y (2015). Targeted mutagenesis in soybean using the CRISPR-Cas9 system. Scientific Reports 5:1-10. https://doi.org/10.1038/srep10342
Taniguchi T, Murayama N, Hasegawa M, Nakagawa A, Tanaka S, Zheng SH, Hamaoka N, Iwaya-Inoue M, Ishibashi Y (2018). Vegetative growth after flowering through gibberellin biosynthesis regulates pod setting rate in soybean (Glycine max (L.) Merr.). Plant Signaling Behavior 13:e1473668. https://doi.org/10.1080/15592324.2018.1473668
Togashi A, Oikawa S (2021). Leaf productivity and persistence have been improved during soybean (Glycine max) domestication and evolution. Journal of Plant Research 134:223-233. https://doi.org/10.1007/s10265-021-01263-x
Travaglia C, Reinoso H, Bottini R (2009). Application of abscisic acid promotes yield in field-cultured soybean by enhancing production of carbohydrates and their allocation in seed. Crop Pasture Science 60:1131-1136. https://doi.org/10.1071/CP08396
Van K, McHale LK (2017). Meta-analyses of QTLs associated with protein and oil contents and compositions in soybean [Glycine max (L.) Merr.] seed. International Journal of Molecular Sciences 18:1180. https://doi.org/10.3390/ijms18061180
Wang J, Kuang H, Zhang Z, Yang Y, Yan L, Zhang M, Song S, Guan Y (2020a). Generation of seed lipoxygenase-free soybean using CRISPR-Cas9. The Crop Journal 8:432-439. https://doi.org/10.1016/j.cj.2019.08.008
Wang L, Wang L, Guo Q (2007). Soybean cultivar improvement and innovation. Contemporary Soybean Research in China. Jindun Press, Beijing 281-282.
Wang T, Zhang H, Zhu H (2019). CRISPR technology is revolutionizing the improvement of tomato and other fruit crops. Horticulture Research 6:1-13. https://doi.org/10.1038/s41438-019-0159-x
Wang X, Jiang GL, Green M, Scott RA, Song Q, Hyten DL, Cregan PB (2014). Identification and validation of quantitative trait loci for seed yield, oil and protein contents in two recombinant inbred line populations of soybean. Molecular genetics genomics 289:935-949. https://doi.org/10.1007/s00438-014-0865-x
Wang Z, Bao G, Yang C, Yang M, Zhao X, Shao Y, Wang Y, Huang J, Xia N, Han Y (2020b). A genome-wide association study of hexanal content related to soymilk off-flavours in seed of soybean (Glycine max). Crop and Pasture Science 71:552-561. https://doi.org/10.1071/CP20068
Wu D, Zhan Y, Sun Q, Xu L, Lian M, Zhao X, Han Y, Li W (2018). 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 137:194-202. https://doi.org/10.1111/pbr.12574
Xia N, Yang M, Zhao J, Shao Y, Shi Y, Yan W, Wang X, Han Y, Wang Z (2019). Genome-wide association analysis of 1-octen-3-ol content related to soymilk off-flavor in soybean seed. Crop and Pasture Science 70:133-139. https://doi.org/10.1071/CP18423
Xiao Y, Karikari B, Wang L, Chang F, Zhao T (2021). Structure characterization and potential role of soybean phospholipases A multigene family in response to multiple abiotic stress uncovered by CRISPR/Cas9 technology. Environmental and Experimental Botany 188:104521. https://doi.org/10.1016/j.envexpbot.2021.104521
Xiao Z, Jin Y, Zhang Q, Lamboro A, Dong B, Yang Z, Wang P (2022). Construction and Functional Analysis of CRISPR/Cas9 Vector of FAD2 Gene Family in Soybean. Phyton 91:349. https://doi.org/10.32604/phyton.2022.017451
Xue H, Tian X, Zhang K, Li W, Qi Z, Fang Y, Li X, Wang Y, Song J, Li WX (2019). Mapping developmental QTL for plant height in soybean [Glycine max (L.) using a four-way recombinant inbred line population. PloS One 14:e0224897. https://doi.org/10.1371/journal.pone.0224897
Yan L, Li YH, Yang CY, Ren SX, Chang RZ, Zhang MC, Qiu LJ (2014). Identification and validation of an over‐dominant QTL controlling soybean seed weight using populations derived from Glycine max × Glycine soja. Plant Breeding 133:632-637. https://doi.org/10.1111/pbr.12197
Yao J, Zhao D, Chen X, Zhang Y, Wang J (2018). Use of genomic selection and breeding simulation in cross prediction for improvement of yield and quality in wheat (Triticum aestivum L.). The Crop Journal 6:353-365. https://doi.org/10.1016/j.cj.2018.05.003
Yi J, Derynck MR, Chen L, Dhaubhadel S (2010). Differential expression of CHS7 and CHS8 genes in soybean. Planta 231:741-53. https://doi.org/10.1007/s00425-009-1079-z
Yue Y, Liu N, Jiang B, Li M, Wang H, Jiang Z, Pan H, Xia Q, Ma Q, Han T (2017). A single nucleotide deletion in J encoding GmELF3 confers long juvenility and is associated with adaption of tropic soybean. Molecular Plant 10:656-658. https://doi.org/10.1016/j.molp.2016.12.004
Zhang D, Cheng H, Wang H, Zhang H, Liu C, Yu D, Genomics (2010a). Identification of genomic regions determining flower and pod numbers development in soybean (Glycine max L.). Journal of Genetics 37:545-556. https://doi.org/10.1016/S1673-8527(09)60074-6
Zhang D, Zhang H, Hu Z, Chu S, Yu K, Lv L, Yang Y, Zhang X, Chen X, Kan G (2019). Artificial selection on GmOLEO1 contributes to the increase in seed oil during soybean domestication. PLoS Genetics 15:e1008267. https://doi.org/10.1371/journal.pgen.1008267
Zhang J, Wang X, Lu Y, Bhusal SJ, Song Q, Cregan PB, Yen Y, Brown M, Jiang GL (2018). Genome-wide scan for seed composition provides insights into soybean quality improvement and the impacts of domestication and breeding. Molecular Plant 11:460-472. https://doi.org/10.1016/j.molp.2017.12.016
Zhang P, Du H, Wang J, Pu Y, Yang C, Yan R, Yang H, Cheng H, Yu D (2020). Multiplex CRISPR/Cas9‐mediated metabolic engineering increases soya bean isoflavone content and resistance to soya bean mosaic virus. Plant Biotechnology Journal 18:1384-1395. https://doi.org/10.1111/pbi.13302
Zhang Y, Gao Ql, Herbert S, Li YS, Hashemi A (2010b). Influence of sowing date on phenological stages, seed growth and marketable yield of four vegetable soybean cultivars in North-eastern USA. African Journal of Agricultural 5:2556-2562.
Zhang S, Hao D, Zhang S, Zhang D, Wang H, Du H, Kan G, Yu D (2021). Genome-wide association mapping for protein, oil and water-soluble protein contents in soybean. Molecular Genetics and Genomics 296:91-102. https://doi.org/10.1007/s00438-020-01704-7
Zhao Q, Shi X, Yan L, Yang C, Liu C, Feng Y, Zhang M, Yang Y, Liao H (2021). Characterization of the common genetic basis underlying seed hilum size, yield, and quality traits in soybean. Frontiers in Plant Science 12:183. https://doi.org/10.3389/fpls.2021.610214
Zheng N, Li T, Dittman JD, Su J, Li R, Gassmann W, Peng D, Whitham SA, Liu S, Yang B (2020). CRISPR/Cas9-based gene editing using egg cell-specific promoters in Arabidopsis and soybean. Frontiers in Plant Science 11:800. https://doi.org/10.3389/fpls.2020.00800
Zheng YZ, Gai JY, Lu WG, Li WD, Zhou RB, Tian SJ (2006). QTL mapping for fat and fatty acid composition contents in soybean. Acta Agronomica Sinica 32:1823-1830.
Zhijun Z (2004). Floatation: A paleobotanic method in field archaeology. Archeology 3:80-87.
Zhou H, Liu B, Weeks DP, Spalding MH, Yang B (2014). Large chromosomal deletions and heritable small genetic changes induced by CRISPR/Cas9 in rice. Nucleic Acids Research 42:10903-10914. https://doi.org/10.1093/nar/gku806
Zhou X, Carter TE, Cui Z, Miyazaki S, Burton JW (2000). Genetic base of Japanese soybean cultivars released during 1950 to 1988. Crop Science 40:1794-1802. https://doi.org/10.2135/cropsci2000.4061794x
Zhou Z, Jiang Y, Wang Z, Gou Z, Lyu J, Li W, Yu Y, Shu L, Zhao Y, Ma Y (2015). Resequencing 302 wild and cultivated accessions identifies genes related to domestication and improvement in soybean. Nature Biotechnology 33:408-414. https://doi.org/10.1038/nbt.3096
How to Cite
Open Access Journal:
The journal allows the author(s) to retain publishing rights without restriction. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the author.