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Dairy cow breed interacts with stocking rate in temperate pasture-based dairy production systems.
Spaans, O K; Macdonald, K A; Lancaster, J A S; Bryant, A M; Roche, J R.
Affiliation
  • Spaans OK; DairyNZ, Private Bag 3221, Hamilton 3240, New Zealand; Department of Biological Sciences, University of Waikato, Hamilton 3210, New Zealand.
  • Macdonald KA; DairyNZ, Private Bag 3221, Hamilton 3240, New Zealand.
  • Lancaster JAS; DairyNZ, Private Bag 3221, Hamilton 3240, New Zealand.
  • Bryant AM; DairyNZ, Private Bag 3221, Hamilton 3240, New Zealand.
  • Roche JR; DairyNZ, Private Bag 3221, Hamilton 3240, New Zealand; School of Biological Sciences, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand. Electronic address: john.roche@dairynz.co.nz.
J Dairy Sci ; 101(5): 4690-4702, 2018 May.
Article in En | MEDLINE | ID: mdl-29501332
ABSTRACT
Economic optimum stocking rates for grazing dairy systems have been defined by accounting for the pasture production potential of the farm [t of dry matter (DM)/ha], the amount of feed imported from outside the farm (t of DM/ha), and the size of the cow (kg). These variables were combined into the comparative stocking rate [CSR; kg of body weight (BW)/t of feed DM available] measure. However, CSR assumes no effect of cow genetics beyond BW, and there is increasing evidence of within-breed differences in residual feed intake and between-breed differences in the gross efficiency with which cows use metabolizable energy for milk production. A multiyear production system experiment was established to determine whether Jersey (J) and Holstein-Friesian (HF) breeds performed similarly at the same CSR. Fifty-nine J cows and 51 HF cows were randomly allocated to 1 of 2 CSR in a 2 × 2 factorial arrangement; systems were designed to have a CSR of either 80 or 100 kg of BW/t of feed DM (J-CSR80, J-CSR100, HF-CSR80, and HF-CSR100 treatment groups). Data were analyzed for consistency of farmlet response over years using ANOVA procedures, with year and farmlet as fixed effects and the interaction of farmlet with year as a random effect. The collated biological data and financial data extracted from a national economic database were used to model the financial performance for the different breed and CSR treatments. On average, annual and individual season pasture DM production was greater for the J farmlets and was less in the CSR100 treatment; however, the effect of CSR was primarily driven by a large decline in pasture DM production in the HF-CSR100 treatment (breed × CSR interaction). This interaction in feed availability resulted in a breed × CSR interaction for the per-cow and per-hectare milk production variables, with HF cows producing more milk and milk components per cow in the CSR80 treatment but the same amount as the J cows in the CSR100 treatment. On a per-hectare basis, HF cows produced the same amount of 4% fat-corrected milk and lactose as J cows in the CSR80 treatment, but less fat; at CSR100, J cows produced more 4% fat-corrected milk, fat, and protein per hectare than HF cows. Our results support a greater gross efficiency for use of metabolizable energy by the J cow; 11% less total metabolizable energy was required to produce 1 kg of fat and protein at a system level. Economic modeling indicated that profitability of both breeds was less at CSR100, but the decline in profitability with increasing stocking rate was much greater in the HF breed. Holstein-Friesian cows were more profitable at CSR80 but were less profitable at CSR100.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breeding / Cattle / Dairying / Animal Feed Type of study: Health_economic_evaluation / Prognostic_studies Limits: Animals Language: En Journal: J Dairy Sci Year: 2018 Type: Article Affiliation country: New Zealand

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breeding / Cattle / Dairying / Animal Feed Type of study: Health_economic_evaluation / Prognostic_studies Limits: Animals Language: En Journal: J Dairy Sci Year: 2018 Type: Article Affiliation country: New Zealand