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Crop and Pasture Science Crop and Pasture Science Society
Plant sciences, sustainable farming systems and food quality
RESEARCH ARTICLE

Estimating the value of genetic gain in perennial pastures with emphasis on temperate species

K. F. Smith A H I , C. Ludemann A H , C. D. Lewis A B H , B. Malcolm A , R. G. Banks C , J. L. Jacobs D H , P. F. Fennessy E and G. C. Spangenberg F G H
+ Author Affiliations
- Author Affiliations

A Melbourne School of Land and Environment, The University of Melbourne, Private Bag 105, Hamilton, Vic. 3300, Australia.

B Future Farm Industries Research Division, Department of Environment and Primary Industries Victoria, Ellinbank, Vic. 3821, Australia.

C Animal Genetics and Breeding Unit, University of New England, Trevenna Road, Armidale, NSW 2351, Australia.

D Future Farm Industries Research Division, Department of Environment and Primary Industries Victoria, Henna St, Warrnambool, Vic. 3280, Australia.

E AbacusBio Ltd, 442 Moray Place, Dunedin 9016, New Zealand.

F Biosciences Research Division, Department of Environment and Primary Industries Victoria, PO Box 500, Bundoora, Vic. 3083, Australia.

G LaTrobe University, Bundoora, Vic. 3086, Australia.

H Dairy Futures Co-Operative Research Centre.

I Corresponding author. Email: kfsmith@unimelb.edu.au

Crop and Pasture Science 65(11) 1230-1237 https://doi.org/10.1071/CP13384
Submitted: 11 November 2013  Accepted: 6 October 2014   Published: 30 October 2014

Abstract

Relatively little is known about the weightings that breeders consciously or subconsciously place on specific traits when selecting individual plants, or the weightings agronomists and producers use when evaluating the relative merits of alternative cultivars and their potential economic value in farm systems. This is despite the many active programs for breeding improved forage plants, and in contrast to most modern animal-breeding programs where the relative merits of novel genetics are assessed against index-based breeding objectives. There are many reasons why breeding objectives based on profit indices are not used when breeding pasture plants. The nature of pasture as an intermediate input to farm output and profit poses unique difficulties in developing breeding objectives based on profit.

In this paper, we review the literature about methods to value genetic gain in perennial grasses. Various methods are canvassed for assessing the value of genetic gain for different pasture species across production systems. In the context of the complexity and cost of estimating the direct economic benefits of superior characteristics of pasture plants in farm systems via bio-economic simulation methods, we outline the use, and usefulness, of discrete choice techniques in the development of weightings for specific traits in forage plant improvement. There is a clear need to estimate the value of new pasture cultivars to producers, and although the differences between individual farms mean that one value or one ‘best’ cultivar is unlikely for any farm, the estimation of potential value of traits and cultivars will allow producers to make choices that are more informed.


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 |

Bathgate A, Revell C, Kingwell R (2009) Identifying the value of pasture improvement using whole farm modelling. Agricultural Systems 102, 48–57.
Identifying the value of pasture improvement using whole farm modelling.Crossref | GoogleScholarGoogle Scholar |

Byrne TJ, Am PR, Fennessy PF, Hansen P, Wickham BW (2012) A preference based approach to deriving breeding objectives: applied to sheep breeding. Animal 6, 778–788.
A preference based approach to deriving breeding objectives: applied to sheep breeding.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BC38ngsFeisg%3D%3D&md5=610e3d87d35409d8a0ad48bf7d9d9e6dCAS | 22558925PubMed |

Chapman DF, Bryant JR, McMillan WH, Khaembah EN (2012) Economic values for evaluating plant traits. Proceedings of the New Zealand Grassland Association 74, 209–216.

Crush JR, Woodward SL, Eerens JPJ, McDonald KA (2006) Growth and milksolids production in pastures of older and more recent ryegrass and white clover cultivars under dairy grazing. New Zealand Journal of Agricultural Research 49, 119–135.
Growth and milksolids production in pastures of older and more recent ryegrass and white clover cultivars under dairy grazing.Crossref | GoogleScholarGoogle Scholar |

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 |

Davies DA, Fothergill M, Jones D (1989a) Frequency of stocking rate adjustments required in contrasting upland perennial ryegrass pastures continuously grazed to a sward height criterion from May to July. Grass and Forage Science 44, 213–221.
Frequency of stocking rate adjustments required in contrasting upland perennial ryegrass pastures continuously grazed to a sward height criterion from May to July.Crossref | GoogleScholarGoogle Scholar |

Davies DA, Fothergill M, Jones D (1989b) Assessment of contrasting perennial ryegrasses, with and without white clover, under continuous sheep stocking in the uplands. 1. Animal production from the grass varieties. Grass and Forage Science 44, 431–439.
Assessment of contrasting perennial ryegrasses, with and without white clover, under continuous sheep stocking in the uplands. 1. Animal production from the grass varieties.Crossref | GoogleScholarGoogle Scholar |

Davies DA, Fothergill M, Jones D (1991) Assessment of contrasting perennial ryegrasses, with and without white clover, under continuous sheep stocking in the uplands. 3. Herbage production, quality and intake. Grass and Forage Science 46, 39–49.
Assessment of contrasting perennial ryegrasses, with and without white clover, under continuous sheep stocking in the uplands. 3. Herbage production, quality and intake.Crossref | GoogleScholarGoogle Scholar |

Davies DA, Fothergill M, Morgan CT (1992) Assessment of contrasting perennial ryegrasses, with and without white clover, under continuous sheep stocking in the uplands. 4. Animal production in years 4–6. Grass and Forage Science 47, 249–258.
Assessment of contrasting perennial ryegrasses, with and without white clover, under continuous sheep stocking in the uplands. 4. Animal production in years 4–6.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 |

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 |

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 alternativesCrossref | 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 |

Herrero M, Fawcett RH, Dent JB (1999) Bio-economic evaluation of dairy farm management scenarios using integrated simulation and multiple-criteria models. Agricultural Systems 62, 169–188.
Bio-economic evaluation of dairy farm management scenarios using integrated simulation and multiple-criteria models.Crossref | GoogleScholarGoogle Scholar |

Ho CKM, Malcolm B, Doyle PT (2013) Potential impacts of negative associative effects between concentrate supplements, pasture and conserved forage for milk production and dairy farm profit. Animal Production Science 53, 437–452.
Potential impacts of negative associative effects between concentrate supplements, pasture and conserved forage for milk production and dairy farm profit.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXlsVGlsbs%3D&md5=f0b2795c0b454ee2603d5d7ce3360009CAS |

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 |

Johnson JL, Hardin LS (1955) Economics of forage evaluation. Station Bulletin 623. Purdue University, Lafayette, IN, USA.

Lee MRF, Jones EL, Moorby JM, Humphreys MO, Theodorou MK, MacRae JC, Scollan ND (2001) Production responses from lambs grazed on Lolium perenne selected for an elevated water-soluble carbohydrate concentration. Animal Research 50, 441–449.
Production responses from lambs grazed on Lolium perenne selected for an elevated water-soluble carbohydrate concentration.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD38XitVGnsbc%3D&md5=a4b5b33071b266ff90609e8a322ee12bCAS |

Lewis CD, Malcolm B, Jacobs JL, Spangenberg G, Smith KF (2013) A method to estimate the potential net benefits of trait improvements in pasture species: Transgenic white clover for livestock grazing systems. AFBM Journal 10, 30–45.

Lewis C, Jacobs JL, Smith KF, Malcolm B (2014) Potential returns and risk of growing aluminium tolerant lucerne in a high rainfall zone grazing system with acid soils. AFBM Journal 10, 45–60.

Ludemann CI, Cullen BR, Malcolm B, Smith KF (2013) Economic values of changes in energy concentration of pasture in contrasting temperate dairy farms in Australia. AFBM Journal 10, 1–15.

Macdonald KA, Beca D, Penno JW, Lancaster JAS, Roche JR (2011) Effect of stocking rate on the economics of pasture-based dairy farms. Journal of Dairy Science 94, 2581–2586.
Effect of stocking rate on the economics of pasture-based dairy farms.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXnvFCgtro%3D&md5=787a1ac3d2a42127a6ab79fd148067daCAS | 21524549PubMed |

McCallum DA, Thompson NA (1994) The effect of perennial ryegrass cultivars on dairy animal performance. Proceedings of the New Zealand Society of Animal Production 54, 87–90.

McEvoy M, O’Donovan M, Shalloo L (2011) Development and application of an economic ranking index for perennial ryegrass cultivars. Journal of Dairy Science 94, 1627–1639.
Development and application of an economic ranking index for perennial ryegrass cultivars.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXmvFeitLg%3D&md5=32e44dd0fbad667e583a231a9756929fCAS | 21338830PubMed |

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

Meeske R, Botha PR, van der Merwe GD, Greyling JF, Hopkins C, Marais JP (2009) Milk production potential of two ryegrass cultivars with different total non-structural carbohydrate contents. South African Journal of Animal Science 39, 15–21.
Milk production potential of two ryegrass cultivars with different total non-structural carbohydrate contents.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXotV2jsr8%3D&md5=6e7813fd6251d38671afc84d7995c162CAS |

Miller LA, Moorby JM, Davies DR, Humphreys MO, Scollan ND, MacRae JC, Theodorou MK (2001) Increased concentration of water-soluble carbohydrate in perennial ryegrass (Lolium perenne L.): milk production from dairy cows. Grass and Forage Science 56, 383–394.
Increased concentration of water-soluble carbohydrate in perennial ryegrass (Lolium perenne L.): milk production from dairy cows.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD38XhvF2qtr0%3D&md5=f21487af6b04c3a7f702dc14392d0d7fCAS |

Munro JMM, Davies DA, Evans WB, Scurlock RV (1992) Animal production of herbage varieties. 1. Comparison of Aurora with Frances, Talbot and Melle perennial ryegrass when grown alone and with white clover. Grass and Forage Science 47, 259–273.
Animal production of herbage varieties. 1. Comparison of Aurora with Frances, Talbot and Melle perennial ryegrass when grown alone and with white clover.Crossref | GoogleScholarGoogle Scholar |

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 experimentsCrossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BC38vpt1Wmsw%3D%3D&md5=0fe58503fcfc284254f03f3738c191d6CAS | 22444881PubMed |

Parsons AJ, Edwards GR, Newton PCD, Chapman DF, Caradus JR, Rasmussen S, Rowarth JS (2011) Past lessons and prospects: plant breeding for yield and persistence in cool-temperate pastures. Grass and Forage Science 66, 153–172.
Past lessons and prospects: plant breeding for yield and persistence in cool-temperate pastures.Crossref | GoogleScholarGoogle Scholar |

Smith KF, Fennessy PF (2011) 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. Crop & Pasture Science 62, 355–365.
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.Crossref | GoogleScholarGoogle Scholar |

Smith KF, Fennessy PF (2014) Utilizing conjoint analysis to develop breeding objectives for the improvement of pasture species for contrasting environments when the relative values of individual traits are difficult to assess. Sustainable Agriculture Research 3, 1–12.
Utilizing conjoint analysis to develop breeding objectives for the improvement of pasture species for contrasting environments when the relative values of individual traits are difficult to assess.Crossref | GoogleScholarGoogle Scholar |

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, Forster JW, Spangenberg GC (2007) 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=73c34309e81c54630440f95afee0cdd7CAS |

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 |

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, Sölkner 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. In ‘Proceedings of the Eighth World Congress on Genetics Applied to Livestock Production’. 13–18 August 2006, Belo Horizonte, Brazil. Vol. 31. (CD-ROM) p. 439. (World Congress on Genetics Applied to Livestock Production)

Young JM, Thompson AN, Kennedy AJ (2010) Bioeconomic modelling to identify the relative importance of a range of critical control points for prime lamb production systems in south-west Victoria. Animal Production Science 50, 748–756.
Bioeconomic modelling to identify the relative importance of a range of critical control points for prime lamb production systems in south-west Victoria.Crossref | GoogleScholarGoogle Scholar |