Accelerated Breeding of Plants: Methods and Applications

  • Satbir Singh Gosal
  • Dharminder Pathak
  • Shabir Hussain Wani
  • Suruchi Vij
  • Mamta Pathak


Agriculture is facing steep challenges of food, nutritional and water security, climate instability, nutrient depletion, high input costs and reduction in cultivable land. Plant breeders need to constantly develop new sustainable varieties with high yields, better quality, high resource-use efficiency, pest/disease resistance and tolerance to abiotic stresses. In the current scenario of climate change and global warming, there is rapid emergence of new races of insect pests and new pathotypes of disease-causing agents. Minor insect pests/pathogens are rapidly emerging as major ones. Heat and drought stresses are becoming serious threats. Under current WTO regime, farmers wish for new superior varieties, suitable not only for local consumption but also for export purposes. The quest for sustainable agriculture can benefit greatly from powerful new technologies that accelerate plant breeding. In the current era of Breeding 4.0 where specific parts in the genome can be targeted, technological advances along with the data revolution greatly improve the capacity of plant. Geneticists and breeders need to develop durable varieties. Innovative techniques such as doubled haploidy, micropropagation, somaclonal variation, embryo culture, marker-assisted selection, marker-assisted background selection, genomic selection, high-throughput genotyping, high-throughput phenotyping, reverse breeding, transgenic breeding, shuttle breeding, speed breeding, genome editing, advanced quantitative genetics technologies and intentional and standardized data management are now increasingly being used to supplement/complement the conventional approaches for accelerating plant breeding.


Accelerated breeding Crop improvement Speed breeding Doubled haploidy Genome editing Transgenic breeding Genomic selection Phenomics High-throughput genotyping High-throughput phenotyping Genetic mapping 


  1. Abu-Gammie B, Kasem A, Abdelrahem A (2016) Somaclonal variation in bread wheat (Triticum aestivum L.). v. meiotic behavior of some gametoclones and somaclones. Minia J Agric Res Develop 36:91–110Google Scholar
  2. Ahmed KZ, Abdelkareem AA (2005) Somaclonal variation in bread wheat (Triticum aestivum L.). II. Field performance of somaclones. Cereal Res Commun 33:485–492Google Scholar
  3. Akhtar S, Niaz M, Rahman S, Iqbal MZ, Saeed MA (2015) Comparison of wheat (Triticum aestivum L.) somaclones with their respective parents for salt tolerance. J Agric Res 53(4):523–533Google Scholar
  4. Allen AM, Winfield MO, Burridge AJ, Downie RC, Benbow HR, Barker GL, Wilkinson PA, Coghill J, Waterfall C, Davassi A et al (2017) Characterization of a Wheat Breeders’ Array suitable for high-throughput SNP genotyping of global accessions of hexaploid bread wheat (Triticum aestivum). Plant Biotechnol J 15:390–401PubMedGoogle Scholar
  5. Ambrus H, Darko E, Szabo L, Bakos F, Kiraly Z, Barnabas B (2006) In vitro microspore selection in maize anther culture with oxidative-stress stimulators. Protoplasma 228:87–94PubMedGoogle Scholar
  6. Araujo LG, Prabhu AS (2004) Partial resistance to blast in somaclones of rice cultivar CICA-8. Fitopatol Bras 29:394–398Google Scholar
  7. Araus JL, Serret MD, Lopes MS (2019) Transgenic solutions to increase yield and stability in wheat: shining hope or flash in the pan? J Exp Bot 70:1419–1424PubMedPubMedCentralGoogle Scholar
  8. Bains NS, Singh J, Ravi, Gosal SS (1995) Production of wheat haploids through embryo rescue from wheat x maize crosses. Curr Sci 69:621–623Google Scholar
  9. Balsalobre TW, da Silva PG, Margarido GR, Gazaffi R, Barreto FZ, Anoni CO, Cardoso-Silva CB, Costa EA, Mancini MC, Hoffmann HP, de Souza AP (2017) GBS-based single dosage markers for linkage and QTL mapping allow gene mining for yield-related traits in sugarcane. BMC Genomics 18:72PubMedPubMedCentralGoogle Scholar
  10. Barclay IR (1975) High frequencies of haploid production in wheat (Triticum aestivum) by chromosome elimination. Nature 256:410–411Google Scholar
  11. Bassi FM, Bentley AR, Charmet G, Ortiz R, Crossa J (2016) Breeding schemes for the implementation of genomic selection in wheat (Triticum spp.). Plant Sci 242:23–36PubMedPubMedCentralGoogle Scholar
  12. Bastien M, Sonah H, Belzile F (2014) Genome wide association mapping of Sclerotinia sclerotiorum resistance in soybean with a genotyping-by-sequencing approach. Plant Genome 7:1–13Google Scholar
  13. Bauer E, Schmutzer T, Barilar I, Mascher M, Gundlach H, Martis MM, Twardziok SO, Hackauf B, Gordillo A, Wilde P et al (2017) Towards a whole-genome sequence for rye (Secale cereale L.). Plant J 89:853–869PubMedGoogle Scholar
  14. Bendig J, Bolten A, Bareth G (2013) UAV-based imaging for multi-temporal, very high resolution crop surface models to monitor crop growth variability. Photogramm Fernerkundung Geoinf 6:551–562Google Scholar
  15. Bernardo R (2009) Should maize doubled haploids be induced among F1 or F2 plants? Theor Appl Genet 119:255–262PubMedGoogle Scholar
  16. Beumer KJ, Trautman JK, Bozas A, Liu JL, Rutter J, Gall JG, Carroll D (2008) Efficient gene targeting in Drosophila by direct embryo injection with zinc-finger nucleases. Proc Natl Acad Sci 105(50):19821–19826PubMedGoogle Scholar
  17. Blackmore T, Thomas I, McMahon R, Powell W, Hegarty M (2015) Genetic–geographic correlation revealed across a broad European ecotypic sample of perennial ryegrass (Lolium perenne) using array-based SNP genotyping. Theor Appl Genet 128:1917–1932PubMedPubMedCentralGoogle Scholar
  18. Bolon Y-T, Haun WJ, Xu WW, Grant D, Stacey MG, Nelson RT, Gerhardt DJ, Jeddeloh JA, Stacey G, Muehlbauer GJ et al (2011) Phenotypic and genomic analyses of a fast neutron mutant population resource in soybean. Plant Physiol 156:240–253PubMedPubMedCentralGoogle Scholar
  19. Botstein D, White RL, Skolnick M, Davis RW (1980) Construction of genetic linkage map in man using restriction fragment length polymorphisms. Am J Hum Genet 32(3):314–331PubMedPubMedCentralGoogle Scholar
  20. Brim CA (1966) A modified pedigree method of selection in soybeans. Crop Sci 6:220Google Scholar
  21. Britt AB, Kuppu S (2016) Cenh3: an emerging player in haploid induction technology. Front Plant Sci 7:357PubMedPubMedCentralGoogle Scholar
  22. Bus A, Hecht J, Huettel B, Reinhardt R, Stich B (2012) High-throughput polymorphism detection and genotyping in Brassica napus using next-generation RAD sequencing. BMC Genomics 13:281PubMedPubMedCentralGoogle Scholar
  23. Cai C, Zhu G, Zhang T, Guo W (2017) High-density 80 K SNP array is a powerful tool for genotyping G. hirsutum accessions and genome analysis. BMC Genomics 18:654PubMedPubMedCentralGoogle Scholar
  24. Caroline S (2014) Celebrating 100 years of Dr. Norman Borlaug. CSA News, March–April issueGoogle Scholar
  25. Cavanagh CR, Chao SM, Wang SC, Huang BE, Stephen S, Kiani S, Forrest K, Saintenac C, Brown-Guedira GL, Akhunova A et al (2013) Genome-wide comparative diversity uncovers multiple targets of selection for improvement in hexaploid wheat landraces and cultivars. Proc Natl Acad Sci U S A 110:8057–8062PubMedPubMedCentralGoogle Scholar
  26. Chaudhary HK, Singh S, Sethi GS (2002) Interactive influence of wheat and maize genotypes on haploid induction in winter x spring wheat hybrids. J Genet Breed 56:259–266Google Scholar
  27. Chaudhary HK, Sethi GS, Singh S, Pratap A, Sharma S (2005) Efficient haploid induction in wheat by using pollen of Imperata cylindrica. Plant Breed 124:96–98Google Scholar
  28. Chaudhary HK, Tayeng T, Kaila V, Rather SA (2013) Enhancing the efficiency of wide hybridization mediated chromosome engineering for high precision crop improvement with special reference to wheat × Imperata cylindrica system. Nucleus 56(1):7–14Google Scholar
  29. Chen J, Cui L, Malik AA, Mbira KG, Cheng ZM, Korban SS (2011) In vitro haploid and dihaploid production via unfertilized ovule culture. Plant Cell Tiss Org Cult 104(3):311–319Google Scholar
  30. Chen W, Gao Y, Xie W, Gong L, Lu K, Wang W, Li Y, Liu X, Zhang H, Dong H et al (2014) Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism. Nat Genet 46:714–721PubMedGoogle Scholar
  31. Chiurugwi T, Kemp S, Powell W, Hickey LT (2019) Speed breeding orphan crops. Theor Appl Genet 132(3):607–616PubMedGoogle Scholar
  32. Cho MS, Zapata FJ (1990) Plant regeneration from isolated microspores of Indica rice. Plant Cell Physiol 31:881–885Google Scholar
  33. Chung YS, Choi SC, Jun T-H, Kim C (2017) Genotyping-by-sequencing: a promising tool for plant genetics research and breeding. Hortic Environ Biotechnol 58(5):425–431Google Scholar
  34. Chutimanitsakun Y, Nipper RW, Cuesta-Marcos A, Cistue L, Corey A, Filichkina T, Johnson EA et al (2011) Construction and application for QTL analysis of a Restriction Site Associated DNA (RAD) linkage map in barley. BMC Genomics 12:4PubMedPubMedCentralGoogle Scholar
  35. Clark RT, MacCurdy RB, Jung JK, Shaff JE, McCouch SR, Aneshansley DJ, Kochian LV (2011) Three-dimensional root phenotyping with a novel imaging and software platform. Plant Physiol 156:455–465PubMedPubMedCentralGoogle Scholar
  36. Clarke WE, Higgins EE, Plieske J, Wieseke R, Sidebottom C, Khedikar Y, Batley J, Edwards D, Meng J, Li R et al (2016) A high-density SNP genotyping array for Brassica napus and its ancestral diploid species based on optimised selection of single locus markers in the allotetraploid genome. Theor Appl Genet 129:1887–1899PubMedPubMedCentralGoogle Scholar
  37. Close TJ, Lucas MR, Muñoz-Amatriain M, Mirebrahim H, Wanamaker S, Barkley NA, Clair SS, Guo YN, Lo S, Huynh BL et al (2015) A new SNP-genotyping resource for cowpea and its deployment for breeding. In: The plant and animal genome conference, San Diego, vol 23, p P0784Google Scholar
  38. Coe EH (1959) A line of maize with high haploid frequency. Am Nat 93(873):381–382Google Scholar
  39. Collard BCY, Mackill DJ (2008) Marker-assisted selection: an approach for precision plant breeding in the twenty-first century. Philos Trans R Soc Lond B Biol Sci 363:557–572PubMedGoogle Scholar
  40. Comadran J, Kilian B, Russell J, Ramsay L, Stein N, Ganal M, Shaw P, Bayer M, Thomas W, Marshall D et al (2012) Natural variation in a homolog of Antirrhinum centroradialis contributed to spring growth habit and environmental adaptation in cultivated barley. Nat Genet 44:1388–1392PubMedGoogle Scholar
  41. Concibido VC, Denny RL, Lange DA, Orf JH, Young ND (1996) RFLP mapping and marker-assisted selection of soybean cyst nematode resistance in PI 209332. Crop Sci 36:1643–1650Google Scholar
  42. Cong L, Ann Ran F, Cox D, Lin S, Barretto R, Habib N, Hsu PD, Wu X, Jiang W, Marraffini LA, Zhang F (2013) Multiplex genome engineering using CRISPR/Cas systems. Science 339(6121):819–823PubMedPubMedCentralGoogle Scholar
  43. Crawford J, Brown PJ, Voigt T, Lee DK (2016) Linkage mapping in prairie cordgrass (Spartina pectinata Link) using genotyping-by-sequencing. Mol Breed 36:1–12Google Scholar
  44. Cristo E, Gonzalez MC, Perez AV (2006) Obtaining somaclones derived from rice (Oryza sativa L.) plants through anther culture of hybrids and varieties. Cultivos Trop 27:35–39Google Scholar
  45. Crossa J, Beyene Y, Kassa S, Perez P, Hickey JM, Chen C, de los Campos G et al (2013) Genomic prediction in maize breeding populations with genotyping-by-sequencing. G3 3:1903–1926PubMedGoogle Scholar
  46. Crossa J, Perez-Rodriguez P, Cuevas J et al (2017) Genomic selection in plant breeding: methods, models and perspective. Trends Plant Sci 22(11):961–975PubMedGoogle Scholar
  47. Dağüstü N, Bayram G, Sincik M, Bayraktaroglu M (2012) The short breeding cycle protocol effective on diverse genotypes of sunflower (Helianthus annuus L.). Turk J Field Crops 17(2):124–128Google Scholar
  48. Davik J, Sargent DJ, Brurberg MB, Lien S, Kent M, Alsheikh M (2015) A ddRAD based linkage map of the cultivated strawberry, Fragaria x ananassa. PLoS One 10:e0137746PubMedPubMedCentralGoogle Scholar
  49. De Buyser J, Henry Y, Lonnet P, Hertzog P, Hespel A (1986) ‘Florin’: a doubled haploid wheat variety developed by the anther culture method. Plant Breed 98:53–56Google Scholar
  50. Deery DM, Rebetzke GJ, Jimenez-Berni JA, James R, Condon AG, Bovill WD, Hutchinson P, Scarrow J, Davy R, Furbank RT (2016) Methodology for high-throughput field phenotyping of canopy temperature using airborne thermography. Front Plant Sci 7:1808PubMedPubMedCentralGoogle Scholar
  51. Dias PMB, Brunel-Muguet S, Dürr C, Huguet T, Demilly D, Wagner M-H, Teulat-Merah B (2011) QTL analysis of seed germination and pre-emergence growth at extreme temperatures in Medicago truncatula. Theor Appl Genet 122:429–444PubMedGoogle Scholar
  52. Ding M, Abdelkhalik S, Li H et al (2019) Influence of maize genotypes on wheat haploid embryos production in maize mediated cross system. J Sustain Agric Sci 45:1–9Google Scholar
  53. Dirks R, van Dun K, de Snoo CB et al (2009) Reverse breeding: a novel breeding approach based on engineered meiosis. Plant Biotechnol J 7:837–845PubMedPubMedCentralGoogle Scholar
  54. Eder J, Chalyk S (2002) In vivo haploid induction in maize. Theor Appl Genet 104(4):703–708PubMedGoogle Scholar
  55. Elanchezhian R, Mandal AB (2007) Growth analysis of somaclones regenerated from a salt tolerant traditional ‘Pokkali’ rice (Oryza sativa). Indian J Agric Sci 77:184–187Google Scholar
  56. Erikkson D, Schienmann J (2016) Reverse breeding ‘Meet the parents’. Crop genetic improvement techniques. Proceedings of the European Science Organization, p 3Google Scholar
  57. Escudero M, Eaton DA, Hahn M, Hipp AL (2014) Genotyping-by-sequencing as a tool to infer phylogeny and ancestral hybridization: a case study in Carex (Cyperaceae). Mol Phylogenet Evol 79:359–367PubMedGoogle Scholar
  58. Fang S, Yan X, Liao H (2009) 3D reconstruction and dynamic modeling of root architecture in situ and its application to crop phosphorus research. Plant J 60:1096–1108PubMedGoogle Scholar
  59. Fehr WR (1987) Principles of cultivar development, vol 1 Theory and technique. Macmillan, New YorkGoogle Scholar
  60. Ferrie AMR, Caswell KL (2011) Isolated microspore culture techniques and recent progress for haploid and doubled haploid plant production. Plant Cell Tiss Org Cult 104:301–309Google Scholar
  61. Fu Y-B, Cheng B, Peterson GW (2014) Genetic diversity analysis of yellow mustard (Sinapis alba L.) germplasm based on genotyping by sequencing. Genet Resour Crop Evol 61:579–594Google Scholar
  62. Ganal MW, Durstewitz G, Polley A, Berard A, Buckler ES, Charcosset A, Clarke JD, Garner E, Hansen M, Joets J et al (2011) A large maize (Zea mays L.) SNP genotyping array: development and germplasm genotyping, and genetic mapping to compare with the B73 reference genome. PLoS One 6:e28334PubMedPubMedCentralGoogle Scholar
  63. García-llamas C, Martín A, Ballesteros J (2004) Differences among auxin treatments on haploid production in durum wheat × maize crosses. Plant Cell Rep 23:46–49PubMedGoogle Scholar
  64. Getahun T, Feyissa T, Gugsa L (2013) Regeneration of plantlets from unpollinated ovary cultures of Ethiopian wheat (Triticum turgidum and Triticum aestivum). Afr J Biotechnol 12(39):5754–5760Google Scholar
  65. Ghosh S, Watson A, Hickey LT (2018) Speed breeding in growth chambers and glasshouses for crop breeding and model plant research. Nat Protoc 13:944–2963Google Scholar
  66. Gil-Humanes J, Wang Y, Liang Z, Shan Q, Ozuna CV, Sanchez-Leon S, Baltes NJ, Starker C, Barro F, Gao C, Voytas DF (2017) High efficiency gene targeting in hexaploid wheat using DNA replicons and CRISPR/Cas9. Plant J 89:1251–1262PubMedGoogle Scholar
  67. Gill R, Kaur N, Sindhu AS, Bharaj TS, Gosal SS (2003) Improved methods for anther and pollen culture in rice. In: Khush GS, Brar DS, Hardy B (eds) Advances in rice genetics. Proceedings of fourth rice genetics symposium, 22–27 Oct 2000. IRRI, Philippines, pp 503–505Google Scholar
  68. Gill R, Malhotra PK, Gosal SS (2006) Direct plant regeneration from cultured young leaf segments of sugarcane. Plant Cell Tiss Org Cult 84:227–231Google Scholar
  69. Goddard ME, Hayes BJ (2007) Genomic selection. J Anim Breed Genet 124(6):323–330PubMedGoogle Scholar
  70. Gosal SS, Bajaj YPS (1983) Interspecific hybridization between Vigna mungo and Vigna radiata through embryo culture. Euphytica 32:129–137Google Scholar
  71. Gosal SS, Wani SH (2018) Biotechnologies of crop improvement, vol 2: Transgenic approaches. Springer, Switzerland, p 485Google Scholar
  72. Gosal SS, Thind KS, Dhaliwal HS (1998) Micropropagation of sugarcane - an efficient protocol for commercial plant production. Crop Improv 25:1–5Google Scholar
  73. Goulden CH (1939) Problems in plant selection. In: Burnett RC (ed) Proceedings of the seventh international genetics congress, Edinburgh. Springer, Heidelberg, pp 132–133Google Scholar
  74. Grewal DK, Gill R, Gosal SS (2006) Role of cysteine in enhancing androgenesis and regeneration of indica rice (Oryza sativa L.). Plant Growth Regul 49:43–47Google Scholar
  75. Grohmann L, Keilwagen J, Duensing N, Dagand E, Hartung F, Wilhelm R, Bendiek J, Sprink T (2019) Detection and identification of genome editing in plants: challenges and opportunities. Front Plant Sci 10:236PubMedPubMedCentralGoogle Scholar
  76. Guajardo V, Solis S, Sagredo B, Gainza F, Munoz C, Gasic K, Hinrichsen P (2015) Construction of high density sweet cherry (Prunus avium L.) linkage maps using microsatellite markers and SNPs detected by genotyping-by-sequencing (GBS). PLoS One 10:e0127750PubMedPubMedCentralGoogle Scholar
  77. Guha S, Maheshwari SC (1964) In vitro production of embryos from anthers of Datura. Nature 204:497Google Scholar
  78. Guha S, Maheshwari SC (1966) Cell division and differentiation of embryos in the pollen grains of Datura in vitro. Nature 212:97–98Google Scholar
  79. Hamilton JP, Hansey CN, Whitty BR, Stoffel K, Massa AN, Van Deynze A, De Jong WS, Douches DS, Buell CR (2011) Single nucleotide polymorphism discovery in elite North American potato germplasm. BMC Genomics 12:302PubMedPubMedCentralGoogle Scholar
  80. Heidmann I, Schade-Kampmann G, Lambalk J, Ottiger M, Di Berardino M (2016) Impedance flow cytometry: a novel technique in pollen analysis. PLoS One 11:e0165531PubMedPubMedCentralGoogle Scholar
  81. Hinze LL, Hulse-Kemp AM, Wilson IW, Zhu QH, Llewellyn DJ, Taylor JM, Spriggs A et al (2017) Diversity analysis of cotton (Gossypium hirsutum L.) germplasm using the CottonSNP63K Array. BMC Plant Biol 17:37PubMedPubMedCentralGoogle Scholar
  82. Hoekstra S, van Zijderveld MH, Heidekamp E, van der Mark E (1993) Microspore culture of Hordeum vulgare L.: the influence of density and osmolality. Plant Cell Rep 12:661–665PubMedGoogle Scholar
  83. Hu T, Kasha KJ (1997) Improvement of isolated microspore culture of wheat (Triticum aestivum L.) through ovary co-culture. Plant Cell Rep 16:520–525Google Scholar
  84. Huang XH, Zhao Y, Wei XH, Li CY, Wang A, Zhao Q, Li WJ et al (2012) Genome-wide association study of flowering time and grain yield traits in a worldwide collection of rice germplasm. Nat Genet 44:32–U53Google Scholar
  85. Huang L, Zhang R, Huang G, Li Y, Melaku G, Zhang S, Chen H, Zhao Y, Zhang J, Zhang Y, Hu F (2018) Developing superior alleles of yield genes in rice by artificial mutagenesis using the CRISPR/Cas9 system. Crop J 6:475–481Google Scholar
  86. Hulse-Kemp AM, Lemm J, Plieske J, Ashrafi H, Buyyarapu R, Fang DD, Frelichowski J et al (2015) Development of a 63K SNP array for cotton and high-density mapping of intra- and inter-specific populations of Gossypium spp. G3 (Bethesda) 5:1187–1209Google Scholar
  87. Hwang EY, Song Q, Jia G, Specht JE, Hyten DL, Costa J, Cregan PB (2014) A genome-wide association study of seed protein and oil content in soybean. BMC Genomics 15:1PubMedPubMedCentralGoogle Scholar
  88. Jinek M, Chylinski K, Fonfara I, Hauer M, Doudna JA, Charpentier E (2012) A programmable dual-RNA-guided DNA endonuclease in adaptive bacterial immunity. Science 337:816–821PubMedPubMedCentralGoogle Scholar
  89. Kasha KJ, Kao KNM (1970) High frequency of haploid production in barley (Hordeum vulgare L.). Nature 225:874–875PubMedPubMedCentralGoogle Scholar
  90. Kaur J, Satija CK, Gosal SS (2002) In vitro synthesis of white grained primary hexaploid triticales. Plant Tissue Cult 12:1–9Google Scholar
  91. Kermicle JL (1969) Androgenesis conditioned by a mutation in maize. Science 166:1422–1424PubMedGoogle Scholar
  92. Khush GS, Virk PS (2002) Rice improvement: past, present and future. In: Kang MS (ed) Crop improvement challenges in the twenty-first century. The Haworth Press, New York, pp 17–42Google Scholar
  93. Kumar NVM, Katageri IS, Gowda SA, Adiger S, Yadava SK, Lachagari VBR (2019) 63K SNP chip based linkage mapping and QTL analysis for fibre quality and yield component traits in Gossypium barbadense L. cotton. Euphytica 215:6Google Scholar
  94. Kumari P, Nilanjaya, Singh NK (2018) Reverse breeding: accelerating innovation in plant breeding. J Pharmacogn Phytochem SP1:1811–1813Google Scholar
  95. Larkin PJ, Scowcroft WR (1981) Somaclonal variation – a novel source of variability from cell cultures for plant improvement. Theor Appl Genet 60:197–214PubMedGoogle Scholar
  96. Larkin PJ, Li Y, Spindler LH, Tanner GJ, Banks PM (1993) Disease resistance, cell culture and somatic recombination. Acta Hortic 336:341–346Google Scholar
  97. Laurie DA, Reymondie S (1991) High frequencies of fertilization and haploid seedling production in crosses between commercial hexaploid wheat varieties and maize. Plant Breed 106:182–189Google Scholar
  98. Lee YG, Jeong N, Kim JH, Lee K, Kim KH, Pirani A, Ha BK, Kang ST, Park BS, Moon JK et al (2015) Development, validation and genetic analysis of a large soybean SNP genotyping array. Plant J 81:625–636PubMedGoogle Scholar
  99. Li X, Song Y, Century K et al (2001) A fast neutron deletion mutagenesis-based reverse genetics system for plants. Plant J 27(3):235–242PubMedGoogle Scholar
  100. Li H, Peng Z, Yang X, Wang W, Fu J, Wang J, Han Y et al (2013) Genome-wide association study dissects the genetic architecture of oil biosynthesis in maize kernels. Nat Genet 45:43–50PubMedGoogle Scholar
  101. Li C, Dong Y, Zhao T, Li L, Li C, Yu E, Mei L et al (2016) Genome-wide SNP linkage mapping and QTL analysis for fiber quality and yield traits in the upland cotton recombinant inbred lines population. Front Plant Sci 7:1356PubMedPubMedCentralGoogle Scholar
  102. Liang Z, Chen K, Li T, Zhang Y, Wang Y, Zhao Q, Liu J, Zhang H, Liu C, Ran Y, Gao C (2017) Efficient DNA-free genome editing of bread wheat using CRISPR/Cas9 ribonucleoprotein complexes. Nat Commum 8:14261Google Scholar
  103. Lin M, Cai S, Wang S, Liu S, Zhang G, Bai G (2015) Genotyping-by-sequencing (GBS) identified SNP tightly linked to QTL for pre-harvest sprouting resistance. Theor Appl Genet 128:1385–1395PubMedGoogle Scholar
  104. Liu R, Gong J, Xiao X, Zhang Z, Li J, Liu A, Lu Q et al (2018) GWAS analysis and QTL identification of fiber quality traits and yield components in upland cotton using enriched high-density SNP markers. Front Plant Sci 9:1067PubMedPubMedCentralGoogle Scholar
  105. Livaja M, Unterseer S, Erath W, Lehermeier C, Wieseke R, Plieske J, Polley A, Luerßen H, Wieckhorst S, Mascher M et al (2016) Diversity analysis and genomic prediction of Sclerotinia resistance in sunflower using a new 25 K SNP genotyping array. Theor Appl Genet 129:317–329PubMedGoogle Scholar
  106. Lorenz AJ, Chao S, Asoro F (2011) Genomic selection in plant breeding: knowledge and prospects. Adv Agron 110:77–123Google Scholar
  107. Mahato A, Chaudhary HK (2015) Relative efficiency of maize and Imperata cylindrica for haploid induction in Triticum durum following chromosome elimination-mediated approach of doubled haploid breeding. Plant Breed 134:379–383Google Scholar
  108. Mandal AB, Mondal R, Dutta S, Mukherjee P, Meena K (2016) Genetics of yield and component characters in Pokkali somaclones a tall, traditional, photosensitive cultivar from India. SABRAO J Breed Genet 48(3):266–276Google Scholar
  109. Maxam AM, Gilbert W (1977) A new method for sequencing DNA. Proc Natl Acad Sci U S A 74(2):560–564PubMedPubMedCentralGoogle Scholar
  110. McCouch SR, Wright MH, Tung C-W, Maron LG, Mcnally KL, Fitzgerald M et al (2016) Open access resources for genome-wide association mapping in rice. Nat Commun 7:10532PubMedPubMedCentralGoogle Scholar
  111. Mhatre SG, Sawardekar SV, Paul DM, Gokhale NB (2016) Analysis of callus generated somaclonal variation in proso millet (Panicum miliaceum L.) through molecular markers. J Indian Soc Coast Agric Res 34(1):81–87Google Scholar
  112. Miao C, Xiao L, Hua K, Zou C, Zhao Y, Bressan RA, Zhu JK (2018) Mutations in a subfamily of abscisic acid receptor genes promote rice growth and productivity. Proc Natl Acad Sci U S A 115(23):6058–6063PubMedPubMedCentralGoogle Scholar
  113. Mishra R, Rao GJN (2016) In-vitro androgenesis in rice: advantages, constraints and future prospects. Rice Sci 23:57–58Google Scholar
  114. Mishra R, Joshi RK, Zhao K (2018) Genome editing in rice: recent advances, challenges, and future implications. Front Plant Sci.
  115. Mojica FJ, Díez-Villaseñor C, García-Martínez J, Almendros C (2009) Short motif sequences determine the targets of the prokaryotic CRISPR defence system. Microbiology 155:733–740PubMedGoogle Scholar
  116. Morgan TH (1911) The origin of five mutations in eye color in Drosophila and their modes of inheritance. Science 33:534–537PubMedGoogle Scholar
  117. Moumouni KH, Kountche BA, Jean M, Hash CT, Vigouroux Y, Haussmann BIG, Belzile F (2015) Construction of a genetic map for pearl millet, Pennisetum glaucum (L.) R. Br., using a genotyping-by-sequencing (GBS) approach. Mol Breed 35:1–10Google Scholar
  118. Mujeeb-Kazi A, Gul A, Ahmed J, Mirza JI (2006) A simplified and effective protocol for production of bread wheat haploids (n=3x=21, ABD) with some application areas in wheat improvement. Pak J Bot 38:393–406Google Scholar
  119. Mullis K, Faloona F, Scharf S, Saiki R, Horn G, Erlich H (1986) Specific enzymatic amplification of DNA in vitro: the polymerase chain reaction. Cold Spring Harb Symp Quant Biol 51:263–273PubMedGoogle Scholar
  120. Musse M, De Franceschi L, Cambert M, Sorin C, Le Caherec F, Burel A, Bouchereau A, Mariette F, Leport L (2013) Structural changes in senescing oilseed rape leaves at tissue and subcellular levels monitored by nuclear magnetic resonance relaxometry through water status. Plant Physiol 163:392–406PubMedPubMedCentralGoogle Scholar
  121. Nitsch JP, Nitsch C (1969) Haploid plants from pollen grains. Science 163:85–87PubMedPubMedCentralGoogle Scholar
  122. O’Donoughue LS, Bennett MD (1994) Durum wheat haploid production using maize wide-crossing. Theor Appl Genet 89:559–566PubMedGoogle Scholar
  123. Obert B, Barnabas B (2004) Colchicine induced embryogenesis in maize. Plant Cell Tiss Org Cult 77:283–285Google Scholar
  124. Ortiz R, Trethowan R, Ortiz Ferrara G et al (2007) High yield potential, shuttle breeding, genetic diversity, and a new international wheat improvement. Euphytica 157(3):365–383Google Scholar
  125. Pandey MK, Agarwal G, Kale SM, Clevenger J, Nayak SN, Sriswathi M, Chitikineni A, Chavarro C, Chen X, Upadhyaya HD et al (2017) Development and evaluation of a high density genotyping ‘Axiom_Arachis’ array with 58 K SNPs for accelerating genetics and breeding in groundnut. Sci Rep 7:40577PubMedPubMedCentralGoogle Scholar
  126. Patial M, Pal D, Thakur A, Bana RS, Patial.S. (2019) Doubled haploidy techniques in wheat (Triticuma estivum L.): an overview. Proc Natl Acad Sci India B Biol Sci 89(1):27–41Google Scholar
  127. Poland J, Endelman J, Dawson J, Rutkoski J, Wu SY, Manes Y, Dreisigacker S et al (2012a) Genomic selection in wheat breeding using genotyping-by-sequencing. Plant Genome 5:103–113Google Scholar
  128. Poland JA, Brown PJ, Sorrells ME, Jannink JL (2012b) Development of high-density genetic maps for barley and wheat using a novel two-enzyme genotyping-by-sequencing approach. PLoS One 7:e32253PubMedPubMedCentralGoogle Scholar
  129. Pratap A, Gupta S, Nair RM, Gupta SK, Schafleitner R, Basu PS, Singh CM, Prajapati U, Gupta AK, Nayyar H, Mishra AK, Baek K-H (2019) Using plant phenomics to exploit the gains of genomics. Agronomy 9:126Google Scholar
  130. Raina SK, Zapata FJ (1997) Enhanced anther culture efficiency of Indica rice (Oryza sativa L.) through modification of the culture media. Plant Breed 116:305–315Google Scholar
  131. Raja D, Kumar MS, Devi PR, Loganathan S, Ramya K, Kannan N, Subramanian V (2017) Identification of molecular markers associated with genic male sterility in tetraploid cotton (Gossypium hirsutum L.) through bulk segregant analysis using a cotton SNP 63K array. Czech J Genet Plant Breed. Scholar
  132. Rakha MT, Metwally EI, Moustafa SA, Etman AA, Dewir YH (2012) Evaluation of regenerated strains from six Cucurbita interspecific hybrids obtained through anther and ovule in vitro cultures. Aust J Crop Sci 6(1):23–30Google Scholar
  133. Ramesh UM, Methre R, Kumar NVM, Katageri IS, Gowda SA, Adiger S et al (2019) Genome mapping and molecular markers identification for yield, yield component and fibre quality traits in tetraploid cotton. Plant Breed 00:1–17Google Scholar
  134. Ravi M, Chan SW (2010) Haploid plants produced by centromere-mediated genome elimination. Nature 464(7288):615–618Google Scholar
  135. Robertsen CD, Hjortshøj RL, Janss LL (2019) Genomic selection in cereal breeding. Agronomy 9(2):95Google Scholar
  136. Roorkiwal M, Jain A, Kale SM, Doddamani D, Chitikineni A, Thudi M, Varshney RK (2017) Development and evaluation of high-density Axiom® CicerSNP Array for high-resolution genetic mapping and breeding applications in chickpea. Plant Biotechnol J 16:890–901PubMedPubMedCentralGoogle Scholar
  137. Rousselle Y, Jones E, Charcosset A, Moreau P, Robbins K, Stich B, Knaak C, Flament P, Karaman Z, Martinant JP et al (2015) Study on essential derivation in maize: III. Selection and evaluation of a panel of single nucleotide polymorphism loci for use in European and North American germplasm. Crop Sci 55:1170–1180Google Scholar
  138. Rutkoski JE, Poland JA, Singh RP, Huerta-Espino J, Bhavani S, Barbier H, Rouse MN et al (2014) Genomic selection for quantitative adult plant stem rust resistance in wheat. Plant Genome 7:1–10Google Scholar
  139. Sabry SRS, Moussa AM, Menshawy AM, El-Borhami HS (2005) Regeneration of leaf rust (Puccinia recondita) resistant high-yielding wheat (Triticum aestivum L.) somaclones from embryogenic callus of Sakha 61 cultivar. Bulletin-Faculty of Agriculture, CairoGoogle Scholar
  140. Sanei M, Pickering R, Kumke K, Nasuda S, Houben A (2011) Loss of centromeric histone H3 (CENH3) from centromeres precedes uniparental chromosome elimination in interspecific barley hybrids. Proc Natl Acad Sci 108(33):498–505Google Scholar
  141. Sanger F, Nicklen S, Coulson AR (1977) DNA sequencing with chain chain-terminating inhibitors. Proc Natl Acad Sci U S A 74:5463–5467PubMedPubMedCentralGoogle Scholar
  142. Sarao NK, Gill MS, Gill R, Bharaj TS, Gosal SS (2003) An improved method for pollen culture in rice. Oryza 40:77–79Google Scholar
  143. Scaglione D, Fornasiero A, Pinto C, Cattonaro F, Spadotto A, Infante R, Meneses C et al (2015) A RAD-based linkage map of kiwifruit (Actinidia chinensis Pl.) as a tool to improve the genome assembly and to scan the genomic region of the gender determinant for the marker-assisted breeding. Tree Genet Genome 11:115Google Scholar
  144. Scagliusi SM (2014) Establishing isolated microspore culture to produce doubled haploid plants in Brazilian wheat (Triticum aestivum L.). Aust J Crop Sci 8(6):887–894Google Scholar
  145. Scheben A, Batley J, Edwards D (2017) Genotyping-by-sequencing approaches to characterize crop genomes: choosing the right tool for the right application. Plant Biotechnol J 15:149–161PubMedPubMedCentralGoogle Scholar
  146. Senadhira D, Zapata-Arias FJ, Gregoric GB, Alejar MS, de la Cruz HC, Padolina TF, Galvez AM (2002) Development of the first salt-tolerant rice cultivar through Indica/Indica anther culture. Field Crop Res 76:103–110Google Scholar
  147. Shariatpanahi ME, Ahmadi B (2016) Isolated microspore culture and its applications in plant breeding and genetics. In: Anis M, Ahmad N (eds) Plant tissue culture: propagation, conservation and crop improvement. Scholar
  148. Sharma DR, Kaur R, Kumar K (1996) Embryo rescue in plants. Euphytica 89:325–337Google Scholar
  149. Sidhu PK, Davies PA (2009) Regeneration of fertile green plants from oat isolated microspore culture. Plant Cell Rep 28:571–577PubMedGoogle Scholar
  150. Sim SC, Durstewitz G, Plieske J, Wieseke R, Ganal MW, Van Deynze A, Hamilton JP, Buell CR, Causse M, Wijeratne S et al (2012) Development of a large SNP genotyping array and generation of high-density genetic maps in tomato. PLoS One 7:e40563PubMedPubMedCentralGoogle Scholar
  151. Singh N, Jayaswal PK, Panda K, Mandal P, Kumar V, Singh B, Mishra S, Singh Y, Singh R, Rai V et al (2015) Single-copy gene based 50 K SNP chip for genetic studies and molecular breeding in rice. Sci Rep 5:11600PubMedPubMedCentralGoogle Scholar
  152. Song Q, Hyten DL, Jia G, Quigley CV, Fickus EW, Nelson RL, Cregan PB (2013) Development and evaluation of SoySNP50K, a high-density genotyping array for soybean. PLoS One 8:e54985PubMedPubMedCentralGoogle Scholar
  153. Song C, Li W, Pei X, Liu Y, Ren Z, He K, Zhang F et al (2019) Dissection of the genetic variation and candidate genes of lint percentage by a genome-wide association study in upland cotton. Theor Appl Genet 132:1991–2002PubMedGoogle Scholar
  154. Sood S, Dwivedi S (2015) Doubled haploid platform: an accelerated breeding approach for crop improvement. In: Bahadur B, Venkat RM, Sahijram L, Krishnamurthy K (eds) Plant biology and biotechnology. Springer, New DelhiGoogle Scholar
  155. Sood N, Piyush K, Srivastava RK, Gosal SS (2006) Comparative studies on field performance of micropropagated and conventionally propagated sugarcane plants. Plant Tissue Cult Biotechnol 16:25–29Google Scholar
  156. Spindel J, Wright M, Chen C, Cobb J, Gage J, Harrington S, Lorieux M et al (2013) Bridging the genotyping gap: using genotyping by sequencing (GBS) to add high-density SNP markers and new value to traditional bi-parental mapping and breeding populations. Theor Appl Genet 126:2699–2716PubMedGoogle Scholar
  157. Spindel J, Begum H, Akdemir D, Virk P, Collard B, Redona E, Atlin G et al (2015) Genomic selection and association mapping in rice (Oryza sativa): effect of trait genetic architecture, training population composition, marker number and statistical model on accuracy of rice genomic selection in elite. Tropical rice breeding lines. PLoS Genet 11:e1005350PubMedPubMedCentralGoogle Scholar
  158. Sturtevant AH (1913) The linear arrangement of six sex-linked factors in Drosophila, as shown by their mode of association. J Exp Zool 14:43–59Google Scholar
  159. Symington LS, Gautier J (2011) Double-strand break end resection and repair pathway choice. Annu Rev Genet 45:247–271PubMedGoogle Scholar
  160. Tang F, Tao Y, Zhao T, Wang G (2006) In vitro production of haploid and doubled haploid plants from pollinated ovaries of maize (Zea mays). Plant Cell Tiss Org Cult 84:233–237Google Scholar
  161. Tanio M, Kato K, Ishikawa N (2006) Effect of shuttle breeding with rapid generation advancement on heading traits of Japanese wheat. Breed Sci 56:311–320Google Scholar
  162. Tinker NA, Chao S, Lazo GR, Oliver RE, Huang YF, Poland JA, Jellen EN, Maughan PJ, Kilian A, Jackson EW (2014) A SNP genotyping array for hexaploid oat. Plant Genome 7:3Google Scholar
  163. Tripathy SK, Swain D, Mohapatra PM, Prusti AM, Sahoo B, Panda S, Dash M, Chakma B, Behera SK (2019) Exploring factors affecting anther culture in rice (Oryza sativa L.). J Appl Biol Biotechnol 7(02):87–92Google Scholar
  164. Unterseer S, Bauer E, Haberer G, Seidel M, Knaak C, Ouzunova M, Meitinger T, Strom TM, Fries R, Pausch H et al (2014) A powerful tool for genome analysis in maize: development and evaluation of the high density 600 k SNP genotyping array. BMC Genomics 15:823PubMedPubMedCentralGoogle Scholar
  165. Verma V, Bains NS, Mangat GS, Nanda GS, Gosal SS, Singh K (1999) Maize genotypes show striking differences for induction and regeneration of haploid wheat embryos in the wheat x maize system. Crop Sci 39:1722–1727Google Scholar
  166. Vos PG, Uitdewilligen JG, Voorrips RE, Visser RG, van Eck HJ (2015) Development and analysis of a 20K SNP array for potato (Solanum tuberosum): an insight into the breeding history. Theor Appl Genet 128:2387–2401PubMedPubMedCentralGoogle Scholar
  167. Walter A, Liebisch F, Hund A (2015) Plant phenotyping: from bean weighing to image analysis. Plant Methods 11:14PubMedPubMedCentralGoogle Scholar
  168. Wang Y, Cheng X, Shan Q, Zhang Y, Liu J, Gao C, Qiu JL (2014) Simultaneous editing of three homoeoalleles in hexaploid bread wheat confers heritable resistance to powdery mildew. Nat Biotechnol 32:947–951PubMedGoogle Scholar
  169. Wang X, Xu Y, Hu Z (2018) Genomic selection methods for crop improvement: current status and prospects. Crop J 6(4):330–340Google Scholar
  170. Wang B, Zhu L, Zhao B, Zhao Y, Xie Y, Zheng Z, Li Y, Sun J, Wang H (2019a) Development of a haploid-inducer mediated genome editing system for accelerating maize breeding. Mol Plant 12:597–602PubMedGoogle Scholar
  171. Wang S, Jin W, Wang K (2019b) Centromere histone H3-and phospholipase-mediated haploid induction in plants. Plant Methods 15:42PubMedPubMedCentralGoogle Scholar
  172. Ward JA, Bhangoo J, Fernández-Fernández F, Moore P, Swanson JD, Viola R, Velasco R, Bassil N, Weber CA, Sargent DJ (2013) Saturated linkage map construction in Rubus idaeus using genotyping by sequencing and genome-independent imputation. BMC Genomics 14:1–14Google Scholar
  173. Watson A, Ghosh S, Matthew J et al (2018) Speed breeding is a powerful tool to accelerate crop research and breeding. Nat Plants 4:23–29PubMedPubMedCentralGoogle Scholar
  174. Weber DF (2014) Today’s use of haploids in corn plant breeding. In: Sparks DL (ed) Advances in agronomy, 123rd edn. Academic, Burlington, pp 123–144Google Scholar
  175. Winfield MO, Allen AM, Burridge AJ, Barker GL, Benbow HR, Wilkinson PA, Coghill J, Waterfall C, Davassi A, Scopes G et al (2016) High-density SNP genotyping array for hexaploid wheat and its secondary and tertiary gene pool. Plant Biotechnol J 14:1195–1206PubMedGoogle Scholar
  176. Xu X, Li L, Dong X, Jin W, Melchinger AE, Chen S (2013) Gametophytic and zygotic selection leads to segregation distortion through in vivo induction of a maternal haploid in maize. J Exp Bot 64(4):1083–1096PubMedPubMedCentralGoogle Scholar
  177. Yang H, Tao Y, Zheng Z, Shao D, Li Z, Sweetingham MW, Buirchell BJ et al (2013) Rapid development of molecular markers by next-generation sequencing linked to a gene conferring phomopsis stem blight disease resistance for marker-assisted selection in lupin (Lupinus angustifolius L.) breeding. Theor Appl Genet 126:511–522PubMedGoogle Scholar
  178. Yang H, Jian J, Li X, Renshaw D, Clements J, Sweetingham MW, Tan C et al (2015) Application of whole genome re-sequencing data in the development of diagnostic DNA markers tightly linked to a disease-resistance locus for marker-assisted selection in lupin (Lupinus angustifolius). BMC Genomics 16:660PubMedPubMedCentralGoogle Scholar
  179. Yao Y, Zhang P, Liu H, Lu Z, Yan G (2017) A fully in vitro protocol towards large scale production of recombinant inbred lines in wheat (Triticum aestivum L.). Plant Cell Tiss Org Cult 128:655–661Google Scholar
  180. Yendrek CR, Tomaz T, Montes CM, Cao Y, Morse AM, Brown PJ, McIntyre LM, Leakey ADB, Ainsworth EA (2017) High-throughput phenotyping of maize leaf physiological and biochemical traits using hyperspectral reflectance. Plant Physiol 173:614–626PubMedGoogle Scholar
  181. Yu C, Zhang Y, Yao S, Wei Y (2014a) A PCR based protocol for detecting indel mutations induced by TALENs and CRISPR/Cas9 in zebrafish. PLoS One 9(6):e98282PubMedPubMedCentralGoogle Scholar
  182. Yu H, Xie W, Li J, Zhou F, Zhang Q (2014b) A whole-genome SNP array (RICE6K) for genomic breeding in rice. Plant Biotechnol J 12:28–37PubMedGoogle Scholar
  183. Zhahg-Yi Y, Hong-Ru K, Zhahg-Jin W, Li-Zheng Y, Zeng-Qian C (2008) High quality and blast resistance DH lines via anther culture. Southwest China J Agrl Sci 21:75–79Google Scholar
  184. Zhang H, Zhang J, Wei P, Zhang B, Gou F, Feng Z, Mao Y, Yang L, Zhang H, Xu N, Zhu JK (2014) The CRISPR/Cas9 system produces specific and homozygous targeted gene editing in rice in one generation. Plant Biotechnol J 12:797–807PubMedGoogle Scholar
  185. Zhang Y, Liang Z, Zong Y, Wang Y, Liu J, Chen K, Qiu J-L, Gao C (2016) Efficient and transgene-free genome editing in wheat through transient expression of CRISPR/Cas9 DNA or RNA. Nat Commun 7:12617PubMedPubMedCentralGoogle Scholar
  186. Zhang Y, Bai Y, Wu G, Zou S, Chen Y, Gao C, Tang D (2017) Simultaneous modification of three homoeologs of TaEDR1 by genome editing enhances powdery mildew resistance in wheat. Plant J. Scholar
  187. Zhao K, Wright M, Kimball J, Eizenga G, McClung A, Kovach M, Tyagi W, Ali ML, Tung CW, Reynolds A, Bustamante C, McCouch SR (2010) Genomic diversity and introgression in O. sativa reveal the impact of domestication and breeding on the rice genome. PLoS One 5:e10780PubMedPubMedCentralGoogle Scholar
  188. Zhao K, Tung CW, Eizenga GC, Wright MH, Ali ML, Price AH, Norton GJ, Islam MR, Reynolds A, Mezey J, McClung AM, Bustamante CD, McCouch SR (2011) Genome-wide association mapping reveals a rich genetic architecture of complex traits in Oryza sativa. Nat Commun 2:467PubMedPubMedCentralGoogle Scholar
  189. Zheng X, Wei-Xiao M, Ji-Liang Y, Hu-Yan M (2004) In vitro selection of NaCl-tolerant variants of maize and analysis of salt tolerance. J Henan Agric Univ 38:139–143Google Scholar
  190. Zheng Z, Wang H, Chen G, Yan G, Liu C (2013) A procedure allowing up to eight generations of wheat and nine generations of barley per annum. Euphytica 191:311–316Google Scholar
  191. Zhou C, Yang HY (1981) Embryogenesis in unfertilized embryo seed of rice. Acta Bot Sin 23:176–180Google Scholar
  192. Zhou X, Xia Y, Ren X, Chen Y, Huang L, Huang S, Liao B et al (2014) Construction of a SNP-based genetic linkage map in cultivated peanut based on large scale marker development using next-generation double-digest restriction-site-associated DNA sequencing (ddRADseq). BMC Genomics 15:351PubMedPubMedCentralGoogle Scholar
  193. Zhu QH, Yuan Y, Stiller W, Jia Y, Wang P, Pan Z, Du X et al (2018) Genetic dissection of the fuzzless seed trait in Gossypium Barbadense. J Exp Bot 69(5):997–1009PubMedPubMedCentralGoogle Scholar
  194. Zou G, Zhai G, Feng Q, Yan S, Wang A, Zhao Q, Shao J et al (2012) Identification of QTLs for eight agronomically important traits using an ultrahigh-density map based on SNPs generated from high-throughput sequencing in sorghum under contrasting photoperiods. J Exp Bot 63:5451–5462PubMedGoogle Scholar
  195. Zou T, Su HN, Wu Q et al (2018) Haploid induction via unfertilized ovary culture in watermelon. Plant Cell Tiss Org Cult 135:179Google Scholar

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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Punjab Agricultural UniversityLudhianaIndia
  2. 2.Department of Plant Breeding and GeneticsPunjab Agricultural UniversityLudhianaIndia
  3. 3.Mountain Research Center for Field Crops, KhudwaniSher-E-Kashmir University of Agricultural Sciences and Technology of KashmirSrinagarIndia
  4. 4.Department of Vegetable SciencePunjab Agricultural UniversityLudhianaIndia

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