Download presentation
Presentation is loading. Please wait.
Published byBeatrice Palmer Modified over 5 years ago
1
Developing decision support “digital” tools for forage breeding programs in New Zealand
Building these tools requires an in depth understanding of the plant breeding process Dr Zulfi Jahufer, Senior Research Scientist, AgResearch, Grasslands Research Centre. Assoc. Prof. Plant Breeding, Massey University, New Zealand. Prof. Plant Breeding, Lanzhou University, China. Dr Dongwen Luo, Senior Data Scientist , AgResearch, Grasslands Research Centre.
2
Key steps: “from the breeder to the farmer”
Germplasm – Genetic diversity “Pre-Breeding” High throughput Phenotyping Molecular breeding methods “Genomic Selection” Breeding strategy How can we improve the efficiency of this process to deliver Cost ($) Effective Novel Genetic Gain (∆)? Multi-site evaluation New Cultivar Seed production Marketing & sales Uptake by Farmer
3
Plant breeders have a lot of information to process
How can we help breeders use this information to Increase the rate of genetic gain based on cost ($) effective breeding methods. Moisture stress High ambient temperature Pests Diseases Improving feed quality Greenhouse gases Grazing management Endophyte compatibility Challenges Traits Molecular tools - Genome wide markers, GS Transgenics Interspecific hybrids Efficient phenotyping - Phenomics Proper experimental design and field techniques, Quantitative genetic modelling Tools Developing efficient & user friendly decision support tools that will enable: Tiller density Rate of regrowth Forage Value Index Yield + Persistence + Quality + ? Efficient Experimental Trial Design, Data acquisition and analysis, Testing the efficiency of breeding strategies to achieve a predetermined level of genetic gain, through simulation, Testing the efficiency of breeding strategies based on rate of genetic gain and cost $. DM ME
4
DeltaGen operational flow chart
DeltaGen – a tactical tool for plant breeders Experimental Design & data entry spreadsheet
5
The Digital Decision Support Tool for Plant Breeders “DeltaGen”
Globally accessible on the cloud as freeware:
6
Completely randomized Randomized complete block Factorial
Row and column Growth, Spread, PH,
7
Provides Seed packet labelling order for planting
Data collection pattern
11
Simulation: %∆ above HS population mean
Cost includes; GBS parents, Generating HS families’ The HS field trials, Generating GEBV’s (5) (5) $173,600 % ΔG per cycle above parental pop mean (10) $211,100 $286,100 (5) (5) $119,600 (10) $750,000 $750,000 P, phenotypic a, among w, within
12
% selection intensity: PS among HS (GS within selected HS)
Based on: 3 years, 5 seasons, 3 locations,3 replicates, 1000 HS families. Assumed accuracy was 0.30 and cost per GEBV was $75 10(5) 5(1) 1(1) 1(3) 2(1) % ΔG per cycle No. sel. genotypes 45 (1,500) 1000 (20,000) 20 (2,000) 40 (4,000) 100 (10,000) $431,000 $468,500 $618,500 $1,068,500 $1,818,500 % selection intensity: PS among HS (GS within selected HS) $316,000
14
A useful tool to build a Forage Value Index
Yld RR ME A useful tool to build a Forage Value Index Yield + Persistence + Quality
15
A useful tool to build a Forage Value Index
17
Publications & software release
A total of 680 new users by country during the period Dec 2018 to Nov 2019 DeltaGen was released as FREEWARE on the cloud in March 2018 Toal of 2,630 sessions during this period.
Similar presentations
© 2025 SlidePlayer.com Inc.
All rights reserved.