Author:
Chapman David F.,Cosgrove Gerald P.,Kuhn-Sherlock Barbara,Stevens David R.,Lee Julia M.,Rossi Laura
Abstract
Perennial ryegrass breeding is estimated to be delivering rates of genetic gain in dry matter (DM) yield of 50–60 kg DM/ha per year of breeding effort. These estimates are based on DM yield data from tightly managed small-plot trials which are not necessarily representative of typical farm management. To assess the possible realised (on-farm) DMY gains from breeding, seasonal DMY data were collected contemporaneously at two ‘scales’ of evaluation for eight perennial ryegrass cultivars over a total of 14 seasons (comprising 5 ‘seasons’ in each of three years excluding the first winter) in each of four regions. The scales were denoted ‘small plot’ (SP, 10 m2, perennial ryegrass monocultures only) and ‘large plot’ (LP, 65–90 m2, subject to more intensive dairy cattle grazing and including all combinations of two nitrogen fertiliser rates with or without white clover as treatments). Relationships between DMY measured in SP versus LP were statistically significant (P<0.001) for all combinations of region, N fertiliser level and clover presence/absence, indicating good general agreement in cultivar performance trends. However, the slope of the relationship (range 0.492 to 1.171, mean 0.733) was significantly less than 1 in three-quarters of the region by treatment combinations. The slope was closely and inversely related to the size of the difference in total N supply between and SP (N from fertiliser only) and LP (where N was supplied as fertiliser at a lower rate but included biological fixation): the smaller the difference in N supply between the two ‘scales’, the greater the slope. Estimated realised DMY differences between cultivar ranking positions on New Zealand dairy farms under future projected N fertiliser rates were in the range 0.7–0.8 of those predicted from the SP scale of evaluation.
Publisher
New Zealand Grassland Association
Subject
Nature and Landscape Conservation,Plant Science,Soil Science,Agronomy and Crop Science,Ecology, Evolution, Behavior and Systematics
Reference13 articles.
1. Chapman DF, Lee JM, Rossi L, Cosgrove GP, Stevens DR, Crush JR, King WM, Edwards GR, Popay AJ 2018a. Implications of grass-clover interactions in dairy pastures for forage value indexing systems. 1. Context and rationale. New Zealand Journal of Agricultural Research 61: 119-146.
2. Chapman DF, Rossi L, Lee JM, Edwards GR, Popay AJ, Wilson DJ, Bell NL 2018b. Implications of grass-clover interactions in dairy pastures for forage value indexing systems. 4. Canterbury. New Zealand Journal of Agricultural Research 61: 204-229.
3. Chapman DF, Crush JR, Lee JM, Cosgrove GP, Stevens DR, Rossi L, Popay AJ, Edwards GR, King WM 2018c. Implications of grass-clover interactions in dairy pastures for forage value indexing systems. 6. Cross-site analysis and general discussion. New Zealand Journal of Agricultural Research 61: 255-284.
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5. Cosgrove GP, Popay AJ, Taylor PS, Wilson DJ, Alders LT, Bell NL 2018a. Implications of grass-clover interactions in dairy pastures for forage value indexing systems. 3. Manawatu. New Zealand Journal of Agricultural Research 61: 174-203.
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