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Capturing the economic benefit of Lolium perenne cultivar performance
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2011
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McEvoy, M., O'Donovan, M. & Shalloo, L. 2011. Capturing the economic benefit of Lolium perenne cultivar performance.Irish Journal of Agricultural and Food Research, 50, 83-98.
Abstract
Economic values were calculated for grass traits of economic importance in Irish
grass-based ruminant production systems. Traits considered were those that had the
greatest potential to influence the profitability of a grazing system. These were: grass dry matter (DM) yield in spring, mid-season and autumn, grass quality (dry matter digestibility; DMD), 1st and 2nd cut silage DM yield and sward persistency. The
Moorepark Dairy Systems Model was used to simulate a dairy farm. Economic values
were calculated by simulating the effect of a unit change in the trait of interest while
holding all other traits constant. The base scenario involved a fixed herd size and land
area (40 ha), and an annual DM yield of 13 t/ha. The economic values generated under
the base scenario were: € 0.152/kg for DM yield in spring, € 0.030/kg for DM yield in
mid-season and € 0.103/kg for DM yield in autumn; € 0.001, € 0.008, € 0.010, € 0.009,
€ 0.008 and € 0.006 per 1 g/kg change in DMD for the months of April to September,
respectively; € 0.03/kg for 1st cut silage DM yield, € 0.02/kg for 2nd cut silage DM yield; and − € 4.961 for a 1 percent reduction in persistency. Alternative scenarios were examined to determine the sensitivity of the economic values to changes in annual DM yield, sward utilisation and a scenario where silage production was the focus of the system. The economic values were used to calculate a total merit index for each of 20 perennial ryegrass cultivars based on production data from a 3 year plot study. The rank correlation between the merit index values for the cultivars under the base scenario and the scenario involving a reduction in herbage utilisation was 1.0, while that with the scenario involving reduced annual DM yield was 0.94. It is concluded that the total merit index can be used to identify cultivars that can generate the greatest
economic contribution to a grass-based production system, regardless of system or
intensity of grass production.
