Skip to main content
Log in

Genetic analysis of vertical root pulling resistance (VRPR) in maize using two genetic populations

  • Published:
Molecular Breeding Aims and scope Submit manuscript

Abstract

Root traits are important in improving nutrient and water use efficiency. Vertical root pulling resistance (VRPR) has been shown to be closely related to root system characteristics in maize (Zea mays L.). In the present study, two genetic populations derived from the same parents, one containing 218 recombinant inbred lines (RILs) and the other containing 187 advanced backcross BC4F3 lines, were genotyped using 184 SSR markers and evaluated for VRPR, grain yield (GY), stover yield (SY), and nitrogen uptake (Nup) under field conditions over 2 years. Our aims were (1) to locate QTLs associated with VRPR, SY, GY, and Nup, (2) to determine whether QTL detection is consistent between the BC4F3 and RIL populations, and (3) to identify backcross lines harboring favorable VRPR QTLs for use in future breeding programs. Using composite interval mapping (CIM), 12 and 17 QTLs were detected in BC4F3 and RIL populations, respectively. An important QTL region in bin 6.02 within the interval umc1006-umc1257 was found to control VRPR, SY, and Nup in both populations. These favorable alleles were contributed by the large-rooted parent Ye478. A significant positive correlation was detected between VRPR, SY, and Nup, but not between VRPR and GY. Backcross lines harboring VRPR QTLs could be useful germplasm for developing near isogenic lines (NILs) and for map-based cloning of genes controlling root growth.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  • Agrama HAS, Moussa ME (1996) Mapping QTLs in breeding for drought tolerance in maize (Zea mays L.). Euphytica 91:89–97

    Article  CAS  Google Scholar 

  • Arihara J, Crosbie TM (1982) Relationships among seedling and mature root system traits of maize. Crop Sci 22:1197–1202

    Article  Google Scholar 

  • Austin DF, Lee M (1996) Comparative mapping in F2:3 and F6:7 generations of quantitative trait loci for grain yield and yield components in maize. Theor Appl Genet 92:817–826

    Article  CAS  Google Scholar 

  • Beavis WD, Smith OS, Grant D, Fincher R (1994) Identification of quantitative trait loci using a small sample of topcrossed and F4 progeny from maize. Crop Sci 34:882–896

    Article  Google Scholar 

  • Beck DL, Darrah LL, Zuber MS (1988) Effect of sink level on root and stalk quality in maize. Crop Sci 28:11–18

    Article  Google Scholar 

  • Bertin P, Gallais A (2001) Genetic variation for nitrogen use efficiency in a set of recombinant inbred lines II—QTL detection and coincidences. Maydica 46:53–68

    Google Scholar 

  • Bohn M, Novais J, Fonseca R, Tuberosa R, Grift TE (2006) Genetic evaluation of root complexity in maize. Acta Agron Hung 54:291–303

    Article  CAS  Google Scholar 

  • Chen J, Xu L, Cai Y, Xu J (2008a) QTL mapping of phosphorus efficiency and relative biologic characteristics in maize (Zea mays L.) at two sites. Plant Soil 313:251–266

    Article  CAS  Google Scholar 

  • Chen Y, Chao Q, Tan G, Zhao J, Zhang M, Ji Q, Xu M (2008b) Identification and fine-mapping of a major QTL conferring resistance against head smut in maize. Theor Appl Genet 117:1241–1252

    Article  PubMed  CAS  Google Scholar 

  • Chun L, Mi G, Li J, Chen F, Zhang F (2005) Genetic analysis of maize root characteristics in response to low nitrogen stress. Plant Soil 276:369–382

    Article  CAS  Google Scholar 

  • Churchill GA, Doerge RW (1994) Empirical threshold values for quantitative trait mapping. Genetics 138:963–971

    PubMed  CAS  Google Scholar 

  • Duvick DN (1992) Genetic contributions to advances in yield of US maize. Maydica 37:69–79

    Google Scholar 

  • Fincher RR, Darrah LL, Zuber MS (1985) Root development in maize as measured by vertical root-pulling resistance. Maydica 30:383–394

    Google Scholar 

  • Guingo E, Hèbert Y, Charcosset A (1998) Genetic analysis of root traits in maize. Agronomie 18:225–235

    Article  Google Scholar 

  • Hallauer AR, Miranda JB (1981) Quantitative genetics in maize breeding. Iowa State University Press, Ames

    Google Scholar 

  • Hébert Y, Barrière Y, Bertholeau JC (1992) Root lodging resistance in forage maize: genetic variability of root system and aerial part. Maydica 37:173–183

    Google Scholar 

  • Ho JC, McCouch SR, Smith ME (2002) Improvement of hybrid yield by advanced backcross QTL analysis in elite maize. Theor Appl Genet 105:440–448

    Article  PubMed  CAS  Google Scholar 

  • Hund A, Fracheboud Y, Soldati A, Frascaroli E, Salvi S, Stamp P (2004) QTL controlling root and shoot traits of maize seedlings under cold stress. Theor Appl Genet 109:618–629

    Article  PubMed  CAS  Google Scholar 

  • Jenison JR, Shank DB, Penny LH (1981) Root characteristics of 44 maize inbreds evaluated in four environments. Crop Sci 21:233–237

    Article  Google Scholar 

  • Jordan WR, Dugas WA Jr, Shouse PJ (1983) Strategies for crop improvement for drought-prone regions. Agric Water Manag 7:281–299

    Article  Google Scholar 

  • Kaeppler SM, Parke JL, Mueller SM, Senior L, Stuber C, Tracy WF (2000) Variation among maize inbred lines and detection of quantitative trait loci for growth at low phosphorus and responsiveness to arbuscular mycorrhizal fungi. Crop Sci 40:358–364

    Article  Google Scholar 

  • Kamara AY, Kling JG, Ajala SO, Menkir A (2002) The relationship between vertical root-pulling resistance and nitrogen uptake and utilization in maize breeding lines. Maydica 47:135–140

    Google Scholar 

  • Kamara AY, Kling JG, Menkir A, Ibikunle O (2003) Agronomic performance of maize (Zea mays L.) breeding lines derived from a low nitrogen maize population. J Agric Sci 141:221–230

    Article  Google Scholar 

  • Kenrick P (2002) The origin of roots. In: Waisel Y et al (eds) Plant roots: the hidden half, 3rd edn. Marcel Dekker, New York, pp 295–322

    Google Scholar 

  • King J, Gay A, Sylvester-Bradley R, Bingham I, Foulkes J, Gregory P, Robinson D (2003) Modelling cereal root systems for water and nitrogen capture: Towards an economic optimum. Ann Bot 91:383–390

    Article  PubMed  CAS  Google Scholar 

  • Knapp SJ, Stroup WW, Ross WM (1985) Exact confidence intervals for heritability on a progeny mean basis. Crop Sci 25:192–194

    Article  Google Scholar 

  • Landi P, Albrecht B, Giuliani MM, Sanguineti MC (1998) Seedling characteristics in hydroponic culture and field performance of maize genotypes with different resistance to root lodging. Maydica 43:111–116

    Google Scholar 

  • Landi P, Sanguineti MC, Darrah LL, Giuliani MM, Salvi S, Conti S, Tuberosa R (2002) Detection of QTLs for vertical root pulling resistance in maize and overlap with QTLs for root traits in hydroponics and for grain yield under different water regimes. Maydica 47:233–243

    Google Scholar 

  • Lebreton C, Lazic-Jancic V, Steed A, Pekic S, Quarrie SA (1995) Identification of QTL for drought responses in maize and their use in testing causal relationships between traits. J Exp Bot 46:853–865

    Article  CAS  Google Scholar 

  • Li JA, Feng FF (1994) Research of 3yc-1 dynamometer for maize stubble pull and stalk hardness. J Maize Sci 2:76–78 (in Chinese)

    Google Scholar 

  • Li DH, Mao LH, Yang JS, Liu JG, Zhang YH (2005) Breeding process and utilization of excellent maize inbred line 478. J Laiyang Agric Coll 22:159–164 (in Chinese)

    Google Scholar 

  • Li YL, Niu SZ, Dong YB, Cui DQ, Wang YZ, Liu YY, Wei MG (2007) Identification of trait-improving quantitative trait loci for grain yield components from a dent corn inbred line in an advanced backcross BC2F2 population and comparison with its F2:3 population in popcorn. Theor Appl Genet 115:129–140

    Article  PubMed  CAS  Google Scholar 

  • Lincoln S, Daly M, Lander E (1993) Mapping genes controlling quantitative traits with MAPMAKER/QTL, 2nd edn. Whitehead Institute Technical Report

  • Liu JC, Li JS, Chen FJ, Zhang FS, Ren TH, Zhuang ZJ, Mi GH (2008) Mapping QTLs for root traits under different nitrate levels at the seedling stage in maize (Zea mays L.). Plant Soil 305:253–265

    Article  CAS  Google Scholar 

  • Liu JX, Chen FJ, Olokhnuud C, Glass ADM, Tong YP, Zhang FS, Mi GH (2009) Root size and nitrogen-uptake activity in two maize (Zea mays L.) inbred lines differing in nitrogen-use efficiency. J Plant Nutr Soil Sci 172:230–236

    Article  CAS  Google Scholar 

  • Mano Y, Omori F, Muraki M, Takamizo T (2005) QTL mapping of adventitious root formation under flooding conditions in tropical maize (Zea mays L.) seedlings. Breed Sci 55:343–347

    Article  Google Scholar 

  • Mechin V, Argillier O, Hebert Y, Guingo E, Moreau L, Charcosset A, Barriere Y (2001) Genetic analysis and QTL mapping of cell wall digestibility and lignification in silage maize. Crop Sci 41:690–697

    Article  CAS  Google Scholar 

  • Moreno-Gonzalez J (1993) Efficiency of generations for estimating marker-associated QTL effects by multiple regression. Genetics 135:223–231

    PubMed  CAS  Google Scholar 

  • Panaud O, Chen X, McCouch SR (1996) Development of microsatellite markers and characterization of simple sequence length polymorphism (SSLP) in rice (Oryza sativa L.). Mol Gen Genet 252:597–607

    PubMed  CAS  Google Scholar 

  • Qiu FZ, Zheng YL, Zhang ZL, Xu SZ (2007) Mapping of QTL associated with waterlogging tolerance during the seedling stage in miaze. Ann Bot 99:1067–1081

    Article  PubMed  Google Scholar 

  • Rahman H, Wicks ZW, Schumacher TE, Swati ZA (1994) Synthesis of maize populations based on seedling root indices: II. Field evaluations for yield and related traits. J Genet Breed 48:245–252

    Google Scholar 

  • Ribaut JM, Hoisington DA, Deutsch JA, Jiang C, Gonzalez-De-Leon D (1996) Identification of quantitative trait loci under drought conditions in tropical maize. 1. Flowering parameters and the anthesis-silking interval. Theor Appl Genet 92:905–914

    Article  CAS  Google Scholar 

  • Saghai-Maroof MA, Soliman KM, Jorgensen RA, Allard RW (1984) Ribosomal DNA spacer-length polymorphisms in barley: mendelian inheritance, chromosomal location, and population dynamics. Proc Natl Acad Sci USA 81:8014–8018

    Article  PubMed  CAS  Google Scholar 

  • Sanguineti MC, Giuliani MM, Govi G, Tuberosa R, Landi P (1998) Root and shoot traits of maize inbred lines grown in the field and in hydroponic culture and their relationships with root lodging. Maydica 43:211–216

    Google Scholar 

  • Senior ML, Heun M (1993) Mapping maize microsatellites and polymerase chain reaction confirmation of the targeted repeats using a CT primer. Genome 36:884–889

    Article  PubMed  CAS  Google Scholar 

  • Spencer JTA (1940) A comparative study of the seasonal development of some inbred lines and hybrids of maize. J Agric Res 61:521–538

    Google Scholar 

  • Tan L, Li X, Liu F, Sun X, Li C, Zhu Z, Fu Y, Cai H, Wang X, Xie D, Sun C (2008) Control of a key transition from prostrate to erect growth in rice domestication. Nat Genet 40:1360–1364

    Article  PubMed  CAS  Google Scholar 

  • Tanksley SD, Nelson JC (1996) Advanced backcross QTL analysis: A method for the simultaneous discovery and transfer of valuable QTLs from unadapted germplasm into elite breeding lines. Theor Appl Genet 92:191–203

    Article  Google Scholar 

  • Tian QY, Chen FJ, Zhang FS, Mi GH (2006) Genotypic difference in nitrogen acquisition ability in maize plants is related to the coordination of leaf and root growth. J Plant Nutr 29:317–330

    Article  CAS  Google Scholar 

  • Tuberosa R, Salvi S (2007) From QTLs to genes controlling root traits in maize. Scale and Complexity in Plant Systems Research: Gene-plant-crop Relations: 13–22

  • Tuberosa R, Sanguineti MC, Landi P, Giuliani MM, Salvi S, Conti S (2002) Identification of QTLs for root characteristics in maize grown in hydroponics and analysis of their overlap with QTLs for grain yield in the field at two water regimes. Plant Mol Biol 48:697–712

    Article  PubMed  CAS  Google Scholar 

  • Tuberosa R, Salvi S, Sanguineti MC, Maccaferri M, Giuliani S, Landi P (2003) Searching for quantitative trait loci controlling root traits in maize: a critical appraisal. Plant Soil 255:35–54

    Article  CAS  Google Scholar 

  • Wang S, Basten CJ, Zeng ZB (2005) Windows QTL cartographer 2.5. Department of Statistics, North Carolina State University, Raleigh

    Google Scholar 

  • Wiesler F, Horst WJ (1994) Root growth and nitrate utilization of maize cultivars under field conditions. Plant Soil 163:267–277

    Article  CAS  Google Scholar 

  • Wilson HK (1930) Plant characters as indices in relation to the ability of corn strains to withstand lodging. J Am Soc Agron 22:453–458

    Article  Google Scholar 

  • Xu Y, Crouch JH (2008) Marker-assisted selection in plant breeding: From publications to practice. Crop Sci 48:391–407

    Article  Google Scholar 

  • Yu X, Zhu X (1996) Excellent germplasm resource in maize (Zea mays. L). China Agriculture Press (in Chinese)

  • Zeng ZB (1994) Precision mapping of quantitative trait loci. Genetics 136:1457–1468

    PubMed  CAS  Google Scholar 

  • Zhu J, Kaeppler SM, Lynch JP (2005) Mapping of QTLs for lateral root branching and length in maize (Zea mays L.) under differential phosphorus supply. Theor Appl Genet 111:688–695

    Article  PubMed  CAS  Google Scholar 

  • Zhu J, Mickelson SM, Kaeppler SM, Lynch JP (2006) Detection of quantitative trait loci for seminal root traits in maize (Zea mays L.) seedlings grown under differential phosphorus levels. Theor Appl Genet 113:1–10

    Article  PubMed  CAS  Google Scholar 

  • Zuber MS, Musick GJ, Fairchild ML (1971) A method of evaluating corn strains for tolerance to western corn root-worm. J Econ Entomol 64:1514–1518

    Google Scholar 

Download references

Acknowledgments

The authors are very grateful to Dr Wenxin Liu for helpful suggestions on the statistical analysis of data. This study was supported financially by the Ministry of Science and Technology ‘973’ program (2009CB11860, 2007CB109300), the Natural Science Foundation of China (No. 30890130), the National Science Foundation of China Innovative Research Group Program (No. 30821003), Chinese University Scientific Fund (2009JS106), and Special Fund for Agriculture Profession (200803030).

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Fanjun Chen or Guohua Mi.

Additional information

Jianchao Liu and Hongguang Cai have equally contributed to this work.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Liu, J., Cai, H., Chu, Q. et al. Genetic analysis of vertical root pulling resistance (VRPR) in maize using two genetic populations. Mol Breeding 28, 463–474 (2011). https://doi.org/10.1007/s11032-010-9496-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11032-010-9496-z

Keywords

Navigation