A SELECTION INDEX FOR ONTARIO DAIRY ORGANIC FARMS

Similar documents
Genetic improvement: a major component of increased dairy farm profitability

Using genotypes to construct phenotypes for dairy cattle breeding programs and beyond

Establishment of a Single National Selection Index for Canada

Enhancing the Data Pipeline for Novel Traits in the Genomic Era: From farms to DHI to evaluation centres Dr. Filippo Miglior

Profitable Dairy Cow Traits for Future Production Circumstances

Big Data, Science and Cow Improvement: The Power of Information!

Evidence of improved fertility arising from genetic selection: weightings and timescale required

Conformation Assessment

Placing: 1 st 2 nd 3 rd 4 th

DAIRY CATTLE EVALUATION CAREER DEVELOPMENT EVENT

NTM. Breeding for what truly matters. The NTM breeding goal is healthy, fertile, high producing cows the invisible cow. Elisabeth

COW PRODUCTION MONTHLY REPORT

TWENTY YEARS OF GENETIC PROGRESS IN AUSTRALIAN HOLSTEINS

Introduction. Data collection and evaluation activities

Use of the Transition Cow Index as a Monitor of Herd Health. Health Records would appear to be obvious monitor, but.

Scandinavian co-operation

CDCB tools for the improvement of the Jersey breed

Effect of Metabolic Diseases on Dry Matter Consumption and Production Parameters

EBI Base Change & Impact on Bull Selection. Kevin Downing

Development of an Economic Breeding Index EBI for Ireland. Ross Evans (ICBF)

Results of Organic Dairy Economic Survey. V.E. Cabrera University of Wisconsin-Madison Dairy Science

1 Improving through breeding

Characteristics of organic dairy farm types in Europe

Working for Health and Profit. What is Fleckvieh? And why is it the breed for you

Managing stock surplus to the milking herd

Crossbreeding trials with Fleckvieh. Dr. Carel Muller Western Cape Dept. of Agriculture, Institute for Animal Production, Elsenburg, South Africa

SWEDISH FARMING, BEEF PRODUCTION AND CHAROLAIS. - An overview Sofia Persson and Lennart Nilsson The Swedish Charolais Association

Anet Spengler EAAP Meeting, Bratislava, Aug. 29th 2012

Decoding genomic selection and the benefit for unconventional traits

Why Crossbreed?? Dr. Tom Lawlor, Holstein USA

What's different about Jerseys... and what's not Mike Hutjens

Transition Dry Cow Management

MONTHLY HERD SUMMARY REPORT

19. WORLD SIMMENTAL FLECKVIEH CONGRESS. The robust Fleckvieh cow breeding for fitness and health

Dairy Cattle Backgrou d I for atio

What dairy farmers should know about genetic selection

Introduction. Development of national and international evaluations. Considerable genetic variation in health and fertility traits!

Genomic Management: Impact on Sustainability

IT-Solutions for Animal Production. 3. März 2017 Seite 1

Calving Pattern- The Most Important Decision on Your Farm?

1.1 Present improvement of breeding values for milking speed

Low Input Dairying Challenges and Opportunities Sinclair Mayne, AFBI. 26 January, 2016 Novotel,Bristol

Value of cooperative phenotypic databases in the genomics era

Once-a-day Milking in Late Lactation

Factors Affecting Holstein Cattle Fertility Traits in the Slovak Republic

Economics of transitioning to Once A Day milking

Farm Management Decisions in the Era of Genomics

Economic Impact of Bull Choices... A.I. Or Otherwise

Dairy Production and Management Benchmarks

Evaluation of production efficiencies among primiparous suckler cows of diverse genotype at pasture

Who Should Be Raising Your Heifers?

2010 North Dakota FFA Convention. Pedigree Evaluation. [50 points]

Fertility Management on the Greenfield Farm in 2012

Ukraine. Vladimir Shablia, PhD. Institute of Animal Science of National Academy of Agrarian Sciences of Ukraine ( Kharkov )

Canada s Dairy Industry at a Glance

Use of data from electronic milking meters and perspective in use of other objective measures

CULLING: REPLACEMENT HEIFER STRATEGIES

Genotype x Environment Interactions in Dual Purpose Cattle in Harsh Environments

LowInputBreeds & Genomic breeding

Economic Analysis of Dairy Breeds

Strategies of European Fleckvieh Cattle Breeding to optimize dual-purpose breeding particularly for beef production

Internal Herd Growth Generating Profits through Management

Genetics 472. Heritability. Heritability estimates 12/7/2015. Round Two

11/30/2018. Introduction to Genomic Selection OUTLINE. 1. What is different between pedigree based and genomic selection? 2.

Animal-human-technology interactions: novel means of phenotyping cattle health and welfare

National DHIA Annual Meeting CDCB Report

Implementation of dairy cattle breeding policy in Ethiopia some reflections on complementary strategies

João Dürr Interbull Centre Director. Animal identification and traceability Interbull s s and Interbeef s perspectives

Genomic selection applies to synthetic breeds

Improving Genetics in the Suckler Herd by Noirin McHugh & Mark McGee

On-farm dairy guide for students and teachers.

BEST USE OF LOCAL/NATIVE BREEDS

4-H Dairy Project Record Dairy Cow

Impact of Dry Period Length

Countdown to higher quality

Beef production, supply and quality from farm to fork in Europe

Genomic prediction. Kevin Byskov, Ulrik Sander Nielsen and Gert Pedersen Aamand. Nordisk Avlsværdi Vurdering. Nordic Cattle Genetic Evaluation

Youngstock Survival in Nordic Cattle Genetic Evaluation

Effective transition cow management to maximize Internal Herd Growth. Thomas R. Overton, Ph.D. Department of Animal Science Cornell University

The benefits of genotyping at farm level & the impact across the wider dairy herd in Ireland. Kevin Downing 27 th October, 2016

6 Breeding your cows and heifers

Cow Reference Population - Benefit for Genomic Evaluation Systems - and Farmers

Cow Reference Population - Benefit for Genomic Evaluation Systems - and Farmers

TO IDENTIFY EASY CALVING, SHORT GESTATION BEEF BULLS WITH MORE SALEABLE CALVES USE THE DAIRY BEEF INDEX

Teagasc, Bioscience Centre and ICBF Meeting Highfield House, Bandon

Subproject 1: Dairy cattle

Understanding Results

Selecting and Sourcing Replacement Heifers

Presentation of a unique and very flexible Benchmarking system; Key Indicators

Producing the milk where the people are? Dr. Israel Flamenbaum

The Livestock Event. Using breeding protocols and fertility visits to improve pregnancy rates in beef and dairy herds

Monitoring Transition Programs

Dairy Science. An Introduction

Breeding for milkability How to use the new possibilities

Calving Month Feed Budget Relative Cost

Producer Uptake: How might genomic information be translated to industry outcomes? Alison Van Eenennaam, Ph.D.

Improving herd fertility. Scott McDougall Animal Health Centre, Morrinsville, New Zealand

Breeding for Tuberculosis and Liver Fluke Resistance. Siobhán Ring Irish Angus Meeting, 7 th February 2019

56 th Annual Meeting of the Euopean Association for Animal Production Uppsala (Sweden), June ,

Less demanding, strong, calm cow Favorable fat/protein ratio Nicely muscled cows and calves No frills cow MRY

Transcription:

A SELECTION INDEX FOR ONTARIO DAIRY ORGANIC FARMS Paola Rozzi 1 and Filippo Miglior 2,3 1 OntarBio Organic Farmers' Co-operative, 2, 3 Canadian Dairy Network Guelph, ON, Canada 56 th Annual EAAP Meeting, June 5-8, 2005, Uppsala, Sweden

Objectives Selection index based on organic farmers priorities Organic Index different from conventional? One or several indices for organic farms?

Organic dairy farms in Ontario 45 certified farms = 0.9% Milk production = 0.4% 3401 dairy cows and heifers Present market value= $ 6.5 million 60 farms in transition (some with large herds) 100% organic feed and no antibiotics

Data Survey of 18 organic farms (40%) DHI official production data: 1998-2003 Organic and conventional DHI records (1998-2003) Milking Cows # Milk BCA kg/year Fat % Prot % SCC (000) Cows left herd * (%) Organic 45 8069 3.93 3.23 309 28 BCA = production adjusted for breed, age (ME), stage of lactation * includes cows culled, dead or sold, culling in 2003 was 21%

Comparison with conventional farms Lower milk (- 20%) Higher fat % (+ 0.28) Similar protein% (+ 0.04) Smaller herd size (45 vs. 56 cows) Lower replacement (28 vs. 32 %) Higher SCC (+ 50,000)

Culling reasons relative to fertility Organic Conventional 100 90 80 70 60 50 40 30 20 10 0 Fertility Mast- SCC Feet Milk Age Injuries Sick Udder

Health problems per year Trait Feet Mastitis Calving Milk fever and Ketosis Injury and Sickness Metritis and Retained Placenta Bloat and Displaced Abomasum Over all cows (%) ~ 6 ~ 3 < 1

Differences within organic Milk Output by Production Level Milk Level Farms # Milk kg SCC (000) Certification Year High 4 9492 244 2000 Medium 8 8040 305 1992 Low 6 6980 368 1989 From high to low level: - higher fat% - higher SCC - longer in organic

AI usage, breeds and crossbreeding by production level Milk Level AI cows (%) Holstein cows (%) Crossbred Cows (%) Breeds of crossbred cows High 100 100 0 none Medium 76 91 9 BS (mostly) Low 59 57 43 DB, MS (mostly) JE, BS (few) DB = Dutch Belted, MS = Milking Shorthorn BS = Brown Swiss, SI = Simmental, JE= Jersey

Selection priorities for organic Traits selected: 1 = least important 5 = most important Functional traits more important than production Average score by trait: Udder Feet Capacity SCC Persistency Longevity Calving/Fertility Fat Protein Milk 4.0 4.0 3.1 2.5 2.3 2.2 2.1 3.3 3.0 1.5

Selection Priorities for organic n. score=5 Milk Calving/Fertility Persistency Longevity SCC Protein Capacity Fat Udder Feet 0 2 4 6 8 10 12

Traits expressed in relative terms Protein 11% Udder 14% Fat 12% SCC 9% Milk 5% Longevity 8% Feet 14% Persistency 8% Calving/Fertility 8% Capacity 11%

Relative emphasis in Holstein selection indices Country Israel PD01 Great Britain PLI, Ireland EBI Australia APR, New Zealand BW Italy PFT, The Netherlands USA TPI, Canada LPI Switzerland ISEL Germany RZG, France ISU Great Britain TOP Denmark S-Index Sweden TMI Organic Ontario Production Traits 80 75-66 59-53 50 34-29 28 Functional Traits 20 25-34 41-47 50 66-71 72 Van Raden, 2004; Miglior et al., 2005

Ontario Organic index and LPI Index LPI ORGANIC Relative Production 54 28 weights Functional 46 72 Bulls ALL Top 1000 Top 100 Correlations with LPI 0.878 0.701 0.652

LPI and Organic: differences in main weights (%) TRAIT Fat Protein Herd Life Feet & Legs Capacity Mammary System SCS Persistency Fertility ORG 12 11 8 14 11 14 9 8 8 LPI 20.5 31 7 11 4 14 3 0 5

Average EBV of top 100 bulls for Organic and LPI Milk Fat Protein Herd Life Feet & Legs Capacity Mammary System SCS Persistency ORGANIC 917 37 31 3.17 6 4.8 9.1 2.80 68.8 ORG-LPI (SD) -0.46-0.52-0.60 0.26 0.27 0.61 0.25-0.47 0.25

Organic Index versus LPI Low correlations between Organic and LPI Organic: far less weight on protein and fat more on: persistency, capacity, SCS Selection Index for Ontario organic farms is needed!

Different indices for organic? Three Indices for Ontario organic: Different selection policies at high, medium and low production Trait scores averaged by production level Index weights based on average scores by level

Relative Weights (%) in 3 Organic Indices: High, Medium and Low Production 20 18 16 14 12 10 8 6 4 2 0 High Medium Low Milk Fat Protein

Relative Weights (%) in 3 Organic Indices: High, Medium and Low Functional traits 20 18 16 14 12 10 8 6 4 2 0 Longevity Feet & Legs High Medium Low Capacity Udder Fertility SCS Persistency

Different indices for organic? Correlations between Overall Organic Index and those based on milk level Bulls High Medium Low All 0.995 0.992 0.995 Top 100 0.965 0.947 0.954

Grazing traits important for organic In Ontario survey, 40 % for grazing traits In Swiss survey, 77% asked for forage absorption capacity (Haas,2004) Organic farmers want selection for better grazers

Conclusions Ontario organic producers should use specific selection index, not LPI Different organic selection indices not justified Research needed to identify and select for grazing traits

Acknowledgements Financial support from OntarBio Production Data from CanWest DHI Surveyed farmers for their patience and cooperation