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RESEARCH ARTICLE

The use of conjoint analysis to determine the relative importance of specific traits as selection criteria for the improvement of perennial pasture species in Australia

K. F. Smith A B D and P. F. Fennessy C
+ Author Affiliations
- Author Affiliations

A Bioscience Research Division, Department of Primary Industries, Private Bag 105, Hamilton, Vic. 3300, Australia.

B Present address: AbacusBio Pty Ltd, 331 Penshurst Road, Byaduk, Vic. 3301, Australia.

C AbacusBio Limited, PO Box 5585, Dunedin 9058, New Zealand.

D Corresponding author. Email: ksmith@abacusbio.com.au

Crop and Pasture Science 62(4) 355-365 https://doi.org/10.1071/CP10320
Submitted: 1 October 2010  Accepted: 25 March 2011   Published: 19 April 2011

Abstract

Despite the large number of active programs breeding improved forage plants, relatively little is known about the weightings that breeders consciously or subconsciously give to specific traits when selecting individual plants or that agronomists and producers use when assessing the relative merits of contrasting cultivars. This is in contrast to most modern animal breeding programs where the relative merits of novel genetics may be assessed against an index-based breeding objective. These technologies have not been widely used in crop or forage plant breeding but their use in forest tree breeding is relatively common.

We have assessed the usefulness of discrete choice experiment techniques in the development of weightings for specific traits in forage plant improvement based on the views of an expert panel (plant breeders and non-breeders – agronomists, nutritionists, senior managers in breeding companies and consultants) asked to consider the requirements in four species (white clover, lucerne, perennial ryegrass and tall fescue).

The results indicate that criteria related to abiotic stress tolerance, adaptation or the costs of pasture (root growth, drought tolerance, persistence, resistance to invertebrate pests, tolerance of hostile soil conditions) were deemed to be particularly important for white clover, while the highest-rated criteria for lucerne were not dissimilar, being tolerance of hostile soil conditions, persistence and tolerance of transient water-logging. For perennial ryegrass, three of the five highest-weighted criteria (drought tolerance, root growth, rate of recovery of pasture after water) are related to yield in environments where too much or too little water is a problem, highlighting the importance that the experts placed on the ability of the plant to withstand this important abiotic stress. For tall fescue, the highest-rated criteria were seedling vigour, drought tolerance, and persistence. Overall the preference weightings tended to reflect the perceived limitations of the various species, such as the priority of seedling vigour in tall fescue. This focus on the importance of abiotic stress is especially interesting as previous attempts to identify priorities have focused on the forage quality traits rather than analysing their importance relative to traits related to herbage yield or stress tolerance.

This study highlights the importance of further work to help determine the focus of breeding objectives and selection criteria for different pasture species across production systems.

Additional keywords: 1000Minds, conjoint analysis, genetic improvement, pasture plants, plant breeding, traits.


References

Amer PR, Fox GC (1992) Estimation of economic weights in genetic improvement using neoclassical production theory: an alternative to rescaling. Animal Production 54, 341–350.
Estimation of economic weights in genetic improvement using neoclassical production theory: an alternative to rescaling.Crossref | GoogleScholarGoogle Scholar |

Cogan NOI, Ponting RC, Vecchies AC, Drayton MC, George J, Dobrowolski MP, Sawbridge TI, Spangenberg GC, Smith KF, Forster JW (2006) Gene-associated single nucleotide polymorphism (SNP) discovery in perennial ryegrass (Lolium perenne L.). Molecular Genetics and Genomics 276, 101–112.
Gene-associated single nucleotide polymorphism (SNP) discovery in perennial ryegrass (Lolium perenne L.).Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD28XntVWltrw%3D&md5=82a7ead2e588702eb5a35534750f4b3eCAS | 16708235PubMed |

Cogan NOI, Smith KF, Yamada T, Francki MG, Vecchies AC, Jones ES, Spangenberg GC, Forster JW (2005) QTL analysis and comparative genomics of herbage quality traits in perennial ryegrass (Lolium perenne L.). Theoretical and Applied Genetics 110, 364–380.
QTL analysis and comparative genomics of herbage quality traits in perennial ryegrass (Lolium perenne L.).Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXntF2ksA%3D%3D&md5=8a32c87ea501f1bf3aa59b99309b5167CAS | 15558228PubMed |

Cunningham PJ, Blumenthal MJ, Anderson MW, Prakash KS, Leonforte A (1994) Perennial ryegrass improvement in Australia. New Zealand Journal of Agricultural Research 37, 295–310.
Perennial ryegrass improvement in Australia.Crossref | GoogleScholarGoogle Scholar |

de Vries AG (1989) A method to incorporate competitive position in the breeding goal. Animal Production 48, 221–227.
A method to incorporate competitive position in the breeding goal.Crossref | GoogleScholarGoogle Scholar |

Easton HS, Lee CK, Fitzgerald RD (1994) Tall fescue in Australia and New Zealand. New Zealand Journal of Agricultural Research 37, 405–417.
Tall fescue in Australia and New Zealand.Crossref | GoogleScholarGoogle Scholar |

Edwards GR, Parsons AJ, Rasmussen S, Bryant RH (2007) High sugar ryegrasses for livestock systems in New Zealand. Proceedings of the New Zealand Grassland Association 69, 167–172.

Falconer DS (1981) ‘Introduction to quantitative genetics.’ 2nd edn. (Longman: London, New York)

Green PE, Krieger AB, Wind Y (2001) Thirty years of conjoint analysis: reflections and prospects. Interfaces 31, S56–S73.
Thirty years of conjoint analysis: reflections and prospects.Crossref | GoogleScholarGoogle Scholar |

Green PE, Srinivasan V (1978) Conjoint analysis in consumer research: issues and outlooks. The Journal of Consumer Research 5, 103–123.
Conjoint analysis in consumer research: issues and outlooks.Crossref | GoogleScholarGoogle Scholar |

Hansen P, Ombler F (2008) A new method for scoring multi-attribute value models using pairwise rankings of alternatives. Journal of Multi-Criteria Decision Analysis 15, 87–107.
A new method for scoring multi-attribute value models using pairwise rankings of alternatives.Crossref | GoogleScholarGoogle Scholar |

Harris CA, Clark SG, Reed KFM, Nie ZN, Smith KF (2008) Novel Festuca arundinacea Shreb. and Dactylis glomerata L. germplasm to improve adaptation for marginal environments. Australian Journal of Experimental Agriculture 48, 436–448.
Novel Festuca arundinacea Shreb. and Dactylis glomerata L. germplasm to improve adaptation for marginal environments.Crossref | GoogleScholarGoogle Scholar |

Heath R, Huxley H, Stone B, Spangenberg G (1998) cDNA cloning and differential expression of three caffeic acid O-methyltransferase homologues from perennial ryegrass (Lolium perenne L.). Journal of Plant Physiology 153, 649–657.

Jahufer MZZ, Cooper M, Ayres JF, Bray RA (2002) Identification of research to improve the efficiency of breeding strategies for white clover in Australia – a review. Australian Journal of Agricultural Research 53, 239–257.
Identification of research to improve the efficiency of breeding strategies for white clover in Australia – a review.Crossref | GoogleScholarGoogle Scholar |

Kempthorne O, Nordskog AW (1959) Restricted selection indices. Biometrics 15, 10–19.
Restricted selection indices.Crossref | GoogleScholarGoogle Scholar |

Lin CY (2005) A simultaneous procedure for deriving selection indexes with multiple restrictions. Journal of Animal Science 83, 531–536.

Linstone HA, Turoff M (1975) ‘The Delphi method: techniques and applications.’ (Addison Wesley: Reading, MA)

Lynch D, Lidgett A, McInnes R, Huxley H, Jones E, Mahoney N, Spangenberg G (2002) Isolation and characterisation of three cinnamyl alcohol dehydrogenase homologue cDNAs from perennial ryegrass (Lolium perenne L.). Journal of Plant Physiology 159, 653–660.
Isolation and characterisation of three cinnamyl alcohol dehydrogenase homologue cDNAs from perennial ryegrass (Lolium perenne L.).Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD38XlvVCrurY%3D&md5=7e49c0a291c9f38bc1d7191fb36d9ddfCAS |

McFadden D (1973) Conditional logit analysis of qualitative choice behavior. In ‘Frontiers in econometrics’. (Ed. P Zarembka) (Academic Press: New York)

McInnes R, Lidgett A, Lynch D, Huxley H, Jones E, Mahoney N, Spangenberg G (2002) Isolation and characterisation of a cinnamoyl-CoA reductase gene from perennial ryegrass (Lolium perenne L.). Journal of Plant Physiology 159, 415–422.
Isolation and characterisation of a cinnamoyl-CoA reductase gene from perennial ryegrass (Lolium perenne L.).Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD38XkslWls7s%3D&md5=d6b1c177f5d4452d327f222a657ee4b8CAS |

Nie Z, Norton M (2009) Stress tolerance and persistence of perennial grasses – the role of the summer dormancy trait in temperate Australia. Crop Science 49, 2405–2411.
Stress tolerance and persistence of perennial grasses – the role of the summer dormancy trait in temperate Australia.Crossref | GoogleScholarGoogle Scholar |

Nielsen HM, Amer PR (2007) An approach to derive economic weights in breeding objectives using partial profile choice experiments. Animal 1, 1254–1262.
An approach to derive economic weights in breeding objectives using partial profile choice experiments.Crossref | GoogleScholarGoogle Scholar |

Oram RN, Lodge G (2003) Trends in temperate Australian grass breeding and selection. Australian Journal of Agricultural Research 54, 211–241.
Trends in temperate Australian grass breeding and selection.Crossref | GoogleScholarGoogle Scholar |

Pešek J, Baker RJ (1969) Desired improvement in relation to selection indices. Canadian Journal of Plant Science 49, 803–804.
Desired improvement in relation to selection indices.Crossref | GoogleScholarGoogle Scholar |

Ponting RC, Drayton MD, Cogan NOI, Dobrowolski MP, Smith KF, Spangenberg GC, Forster JW (2007) SNP discovery, validation and haplotype structure and linkage disequilibrium in full-length herbage quality genes of perennial ryegrass (Lolium perenne L.). Molecular Genetics and Genomics 278, 585–597.
SNP discovery, validation and haplotype structure and linkage disequilibrium in full-length herbage quality genes of perennial ryegrass (Lolium perenne L.).Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2sXhtFGrsrfK&md5=22eaff10426dc6310b86016089179e58CAS | 17647019PubMed |

Ryan M, Gerard K, Amaya-Amaya M (Eds) (2008) ‘Using discrete choice experiments to value health and health care.’ (Springer: Amsterdam)

Smith KF, Forster JW, Spangenberg GC (2007a) Converting genomic discoveries into genetic solutions for dairy pastures. Australian Journal of Experimental Agriculture 47, 1032–1038.
Converting genomic discoveries into genetic solutions for dairy pastures.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2sXos1Kgur4%3D&md5=fb2e89613b6f75edd5d85a4f61140673CAS |

Smith KF, Reed KFM, Foot JZ (1997) An assessment of the relative importance of specific traits for the genetic improvement of nutritive value in dairy pasture. Grass and Forage Science 52, 167–175.
An assessment of the relative importance of specific traits for the genetic improvement of nutritive value in dairy pasture.Crossref | GoogleScholarGoogle Scholar |

Smith KF, Stewart A, Spangenberg G (2007b) Breeding high energy grasses for Australia and New Zealand. Proceedings of the New Zealand Grassland Association 69, 173–177.

Sölkner J, Grausgruber H, Okeyo AM, Ruckenbauer P, Wurzinger M (2008) Breeding objectives and the relative importance of traits in plant and animal breeding: a comparative review. Euphytica 161, 273–282.
Breeding objectives and the relative importance of traits in plant and animal breeding: a comparative review.Crossref | GoogleScholarGoogle Scholar |

Tano K, Kamuanga M, Faminow MD, Swallow B (2003) Using conjoint analysis to estimate farmer’s preferences for cattle traits in West Africa. Ecological Economics 45, 393–407.
Using conjoint analysis to estimate farmer’s preferences for cattle traits in West Africa.Crossref | GoogleScholarGoogle Scholar |

Wang J, Drayton M, George J, Cogan NOI, Baillie R, Hand M, Kearney GA, Erb S, Wilkinson T, Bannan N, Forster JW, Smith KF (2010) Identification of genetic factors influencing salt stress tolerance in white clover (Trifolium repens L.) by QTL analysis. Theoretical and Applied Genetics 120, 607–619.
Identification of genetic factors influencing salt stress tolerance in white clover (Trifolium repens L.) by QTL analysis.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXotV2itQ%3D%3D&md5=3a356cf027962573f8769a1e58dc8181CAS | 19865805PubMed |

Wheeler JL, Corbett JL (1989) Criteria for breeding forages of improved feeding value: results of a Delphi survey. Grass and Forage Science 44, 77–83.
Criteria for breeding forages of improved feeding value: results of a Delphi survey.Crossref | GoogleScholarGoogle Scholar |

Wurzinger M, Ndumu D, Baumung R, Drucker AG, Okeyo AM, Semambo DK, Solkner J (2006) Assessing stated preferences through the use of choice experiments: valuing (re)production v. aesthetics in the breeding goals of Ugandan Ankole cattle breeders. Proceedings of the Eighth World Congress on Genetics Applied to Livestock Production (CD-ROM) 31, 439.