Skip to main content

Improving Selection in Forage, Turf, and Biomass Crops Using Molecular Markers

  • Conference paper
Book cover Molecular Breeding of Forage and Turf

Abstract

Selection of improved forage, turf, and bioenergy crops is optimized if measuring the phenotype of interest is rapid, inexpensive, and repeatable. Phenotyping remains the most difficult issue to resolve for many important traits, including biomass yield, abiotic stress tolerance, and long-term persistence. The identification of molecular markers may augment phenotypic selection if markers are identified that are closely linked to or at genes controlling the traits of interest. Simply inherited traits can be easily manipulated with marker assisted selection (MAS), but using markers in more complex situations requires additional thought. In this paper, we put the use of molecular markers into the context of typical perennial forage and turf breeding programs. Identifying markers based on bi-parental mapping populations is likely not the best way to implement a MAS program, although this approach is useful to introgress alleles from wild germplasm. Instead, a more practical approach may be the use of association mapping, measuring both phenotypes and markers directly on the plants in the breeding nursery. Complications of this method include the limited amount of information on linkage disequilibrium that is available for breeding populations, but the increasing availability of gene identification methods and the use of single nucleotide polymorphism (SNP) markers may enable the use of association mapping in many cases. Applying the information to breeding may be done to assist selection, to prescreen plants to determine those on which field-based phenotypic data will later be collected, and to make rapid off-season selections. The practical applications of markers to the breeding programs are discussed.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Andersen JR, Lübberstedt T (2003) Functional markers in plants. Trends Plant Sci 8:554–560

    Article  PubMed  CAS  Google Scholar 

  • Bruckner PL, Raymer PL, Burton GW (1991) Recurrent phenotypic selection for forage yield in rye. Euphytica 54:11–17

    Article  Google Scholar 

  • Brummer EC (2005) Thoughts on breeding for increased forage yield. In: O'Mara FP, Wilkins RJ, 't Mannetje L, Lovett DK, Rogers PAM, Boland, TM (eds) XX International Grassland Congress: Offered Papers. Wageningen Academic Publishers, Wageningen, the Netherlands, p. 63

    Google Scholar 

  • Burton GW (1982) Improved recurrent restricted phenotypic selection increases bahiagrass forage yields. Crop Sci 22:1058–1061

    Google Scholar 

  • Burton GW, Mullinex BG (1998) Yield distributions of spaced plants within Pensacola bahiagrass populations developed by recurrent restricted phenotypic selection. Crop Sci 38:333–336

    Google Scholar 

  • Carpenter JA, Casler MD (1990) Divergent phenotypic selection response in smooth bromegrass for forage yield and nutritive value. Crop Sci 30:17–22

    Google Scholar 

  • Casler MD, Brummer EC (2008) Expected genetic gains for among-and-within-family selection methods in perennial forage crops. Crop Sci 48:890–902

    Article  Google Scholar 

  • Casler MD, Fales SL, McElroy AR, Hall MH, Hoffman LD, Undersander DJ, Leath KT (2002) Half-sib family selection for forage yield in orchardgrass. Plant Breed 121:43–48

    Article  Google Scholar 

  • Comstock RE (1996) Quantitative genetics with special reference to plant and animal breeding. Iowa State University Press, Ames, IA

    Google Scholar 

  • Falconer DS, Mackay TFC (1996) Introduction to quantitative genetics, 4Longman, Harlow, England

    Google Scholar 

  • Fehr W (1987) Principles of cultivar development. Vol. 1 Theory and technique. Macmillian, New York

    Google Scholar 

  • Forster JW, Cogan NOI, Dobrowolski MP, Francki MG, Spangenberg GC, Smith KF (2007) Functionally-associated molecular genetic markers for temperate pasture plant improvement. In: Henry RJ (ed) Advances in plant genotyping. CABI Press, Wallingford, Oxford, UK

    Google Scholar 

  • Gallais A (2003) Quantitative genetics and breeding methods in autopolyploid plants. INRA, Paris

    Google Scholar 

  • Hartl DL, Clark AG (2007) Principles of population genetics. 4Sinauer Associates, Sunderland, MA

    Google Scholar 

  • Hayward MD (1983) Selection for yield in Lolium perenne. I. Selection and performance under spaced plant conditions. Euphytica 32:85–95

    Article  Google Scholar 

  • Hayward MD, Vivero JL (1984) Selection for yield in Lolium perenne. II. Performance of spaced plant selections under competitive conditions. Euphytica 33:787–800

    Article  Google Scholar 

  • Hirschhorn JH, Daly MJ (2005) Genome-wide association studies for common diseases and complex traits. Nat Rev Genet 6:95–108

    Article  PubMed  CAS  Google Scholar 

  • Katepa-Mupondwa FM, Christie BR, Michaels TE (2002) An improved breeding strategy for autotetraploid alfalfa (Medicago sativa. L.) Euphytica 123:139–146

    Article  Google Scholar 

  • Lamb JFS, Sheaffer CC, Rhodes LH, Sulc M, Undersander DJ, Brummer EC (2006) Forage yield and quality of alfalfa cultivars released from the 1940s through the 1990s. Crop Sci 46:902–909

    Article  Google Scholar 

  • Missaoui AM, Fasoula VA, Bouton JH (2005) The effect of low plant density on response to selection for biomass production in switchgrass. Euphytica 142:1–12

    Article  Google Scholar 

  • Moreau LA, Charcosset A, Gallais A (2004) Experimental evaluation of several cycles of marker assisted selection in maize. Euphytica 137:111–118

    Article  CAS  Google Scholar 

  • Remington DL, Thornsberry JM, Masuoka Y, Wilson LM, Whitt SR, Doebley J, Kresovich S, Goodman MM, Buckler ES (2001) Structure of linkage disequilibrium and phenotypic associations in the maize genome. Nat Genet 98:11479–11484

    CAS  Google Scholar 

  • Robins JG, Bauchan GR, Brummer EC (2007a) Genetic mapping forage yield, plant height, and regrowth at multiple harvests in tetraploid alfalfa (Medicago sativa. L.). Crop Sci 47:11–16

    Article  CAS  Google Scholar 

  • Robins JG, Luth D, Campbell TA, Bauchan GR, He C, Viands DR, Hansen JL, Brummer EC (2007b) Mapping biomass production in tetraploid alfalfa (Medicago sativa. L.). Crop Sci 47:1–10

    Article  CAS  Google Scholar 

  • Rose LW, Das MK, Fuentes RG, Taliaferro CM (2007) Effects of high- vs. low-yield environments on selection for increased biomass yield in switchgrass. Euphytica 156:407–415

    Article  Google Scholar 

  • Salter R, Melton B, Wilson M, Currier C (1984) Selection in alfalfa for forage yield with three moisture levels in drought boxes. Crop Sci 24:345–349

    Google Scholar 

  • Shateryan D, Coulman BE, Mather DE (1995) Recurrent restricted phenotypic selection for forage yield in timothy and orchardgrass. Can J Plant Sci 75:871–875

    Google Scholar 

  • Skøt L, Humphreys MO, Armstead I, Heywood S, Skøt KP, Sanderson R, Thomas ID, Chorlton KH, Sackville Hamilton NR (2005) An association mapping approach to identify flowering time genes in natural populations of Lolium perenne. (L.). Mol Breed 15:233–245

    Article  CAS  Google Scholar 

  • The Wellcome Trust Case Control Consortium (2007) Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls. Nature 44:661–678

    Google Scholar 

  • Thornsberry JM, Goodman MM, Doebley J, Kresovich S, Nielsen D, Buckler ES (2001) Dwarf8 polymorphisms associate with variation in flowering time. Nat Genet 28:286–289

    Article  PubMed  CAS  Google Scholar 

  • Townsend CE (1981) Breeding cicer milkvetch for improved forage yield. Crop Sci 21:363–366

    Google Scholar 

  • Uddin N, Carver BF, Krenzer EG (1993) Visual selection for forage yield in winter-wheat. Crop Sci 33:41–45

    Google Scholar 

  • Vogel KP, Pedersen JF (1993) Breeding systems for cross-pollinated perennial grasses. Plant Breed Rev 11:251–274

    Google Scholar 

  • Wei X, Jackson PA, McIntyre CL, Aitken KS, Croft B (2006) Associations between DNA markers and resistance to diseases in sugarcane and effects of population substructure. Theor Appl Genet 114:155–164

    Article  PubMed  CAS  Google Scholar 

  • Wilkins PW, Humphreys MO (2003) Progress in breeding perennial forage grasses for temperate agriculture. J Agric Sci 140:129–150

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to E. Charles Brummer .

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer Science + Business Media, LLC

About this paper

Cite this paper

Charles Brummer, E., Casler, M.D. (2009). Improving Selection in Forage, Turf, and Biomass Crops Using Molecular Markers. In: Molecular Breeding of Forage and Turf. Springer, New York, NY. https://doi.org/10.1007/978-0-387-79144-9_18

Download citation

Publish with us

Policies and ethics