Forage Innovations
David Nation, CEO Ri Rivale lea presen entat tatio ion
20th May 2015
Forage Innovations David Nation, CEO Profile of Dairy Futures CRC - - PowerPoint PPT Presentation
Ri Rivale lea presen entat tatio ion 20 th May 2015 Forage Innovations David Nation, CEO Profile of Dairy Futures CRC Heading Invests AUS$20 million p.a. in dairy bioscience Pastures ( ) Cattle + 15 project partners
20th May 2015
Pastures Cattle Improvement Invests AUS$20 million p.a. in dairy bioscience Now in 6th year of operation Diversified portfolio of bioscience projects Global partnerships (commercial and research)
+ 15 project partners
Core targets for pasture breeding
Core targets for pasture breeding
One-off increase of +20% through hybrids Ongoing 3X current rate of progress using genomics
Core targets for pasture breeding
Smart selection of plants: 0.3MJ increase Use of genome editing: +2MJ
Core targets for pasture breeding
+1 year: improved endophytes +2 more years: edited endophytes and better plant-endophyte matching
50
12 years
Variety Variety
+
Parent 1 Parent 2 F1 offspring
What about F1 performance in ryegrass?
20% yield increase = $400+/Ha
Recent trial of High Energy Ryegrass in a climate controlled chamber – simulating summer growing conditions
20th May 2015
How does the CRC have an impact?
Dairy genomics – a new era
How will we develop a heat tolerance trait?
3545 3786 4081 4322 4611 2500 3000 3500 4000 4500 5000 0% to 20% 20% to 40% 40% to 60% 60% to 80% 80% to 100%
Income per lactation ($)
Quintiles based on genetic merit for milk production (based on the ASI)
Culling of the bottom 20% would increase income by $176 per cow per lactation
% of diseased daughters 10 best sires 10 worst sires Mastitis 220 6.3 22.0 Displaced abomasum 151 0.2 9.1 Ketosis 110 2.4 9.5 Retained placenta 299 1.2 13.5 Metritis 193 6.4 19.2 Cystic ovaries 154 4.8 17.5 Lameness 127 4.7 16.2 Percentage of diseased daughters of the 10 sires with the best and worst EBV for each trait
1 Only sires with at least 30 daughters were considered
(2012; current technology) (2016; Transition) (2021; Causal variations)
Targets for the cattle genomics program: