The Sustainability Index: a new tool to breed for reduced greenhouse-gas emissions intensity in Australian dairy cattle
T. T. T. Nguyen
A * , C. M. Richardson B , M. Post C , P. R. Amer C , G. J. Nieuwhof A , P. Thurn A and M. Shaffer A
A DataGene Ltd., AgriBio, 5 Ring Road, Bundoora, Vic. 3083, Australia.
B AbacusBio International Ltd, Edinburgh, UK.
C AbacusBio Ltd, Dunedin, New Zealand.
Animal Production Science 63(11) 1126-1135 https://doi.org/10.1071/AN23026
Submitted: 13 January 2023 Accepted: 10 May 2023 Published: 7 June 2023
© 2023 The Author(s) (or their employer(s)). Published by CSIRO Publishing
Abstract
Context: The Australian dairy industry has a target to reduce greenhouse-gas (GHG) emissions intensity by 30% between 2015 and 2030. At the animal level, apart from nutritional modifications and other management practices, selecting animals that emit less GHG can be a cost-effective and long-term strategy. Given the world’s demand for protein is increasing, selecting for animals with lower GHG emissions per unit of production, i.e. emissions intensity, is a realistic approach that addresses the key issue of emissions reduction while maintaining farm productivity.
Aim: To develop a selection index for Australian dairy cattle to breed for reduced emissions intensity.
Methods: The Sustainability Index was built based on the existing Balanced Performance Index (BPI) but placed greater emphasis on production, survival, health and feed efficiency.
Key results: In August 2022, DataGene released the Sustainability Index that can be used by dairy farmers to select animals with lower environmental footprints. Compared with BPI, the weights for protein, fat, survival, mastitis resistance and feed efficiency increased by 2.6-, 1.4-, 2.8-, 1.3- and 3.8-fold respectively. It is expected that with the use of the Sustainability Index, emissions intensity will be reduced by 7.64%, 8.96% and 5.52% respectively in Holstein, Jersey and Red breeds by 2050, compared with the 2015 level. The corresponding values when selecting for BPI were 6.34%, 7.91% and 5.23% respectively. However, the trade-off in BPI when using the Sustainability Index will be AUD0.79, AUD0.83, AUD0.22 per cow per year for Holstein, Jersey and Red breeds respectively.
Conclusions: The current profit index BPI has contributed to reduction in emissions intensity. To enhance the rate of improvement in emissions intensity, the Sustainability Index can be used with minimal impacts on profit.
Implications: To breed for lower emissions intensity, farmers can select animals with high Sustainability Index values that are published on DataVat (datavat.com.au) and the Good Bulls App. To lower gross emissions, combinations of additional measures such as management of diet, adjustment to animal numbers, management of stored manure, and appropriate use of carbon neutral fertiliser, renewable fuels and energy, will need to be adopted on farms.
Keywords: adoption of technology, animal breeding, climate, dairy, economics, genetics.
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