Traditionally, in dairy cattle breeding, it has been a rule that only third party captured and verified data had been allowed to be published. By extension, anything less than that is considered second rate and must not be published. Is that the way for the future? The Bullvine is laying all the cards on the table so tomorrow’s dairy people can see both from the past and to the future.
What’s Behind Us?
Over the past 150 years, investors put their dollars down and imported dairy breeds into their countries. To protect their investments, they started their own breed societies to record and verify lineage. DHI’s were started to authenticate yield and % Fat and for management purposes. Independent expert conformation evaluators were hired to compare animals to a visual ideal. All these steps were used to confirm that the animals were what their owners claimed them to be in most countries, that has been the basis for publishing performance and genetic information for commercial purposes.
Minimum accuracy levels of at least 80% REL, were required for listing sire daughter proofs until genomic indexing came on stream a decade ago. DHIR cow records were considered to be accurate, only requiring monthly DHI supervisor visit results being used in the calculations of lactation totals. Owner recorded production records were not considered unbiased and publishable. The functionality of a cow was determined by breed society conformation scoring.
Breeders that have been marketing breeding stock received financial benefit by having publishable information to document the animals they were selling. Breed societies gained memberships and business because cattle owners wanted to be part of the selling crowd. DHI’s benefited through dairy farmers participating in their programs. A.I. benefited because dairy farmers could trust the published information on their sires. Researchers benefited because they had reliable data to analyze. Genetic evaluation centres helped by knowing the data they used could be depended upon as accurate and third-party verified. Internationally standards were developed for all forms of dairy cattle data and rules and regulations were adhered to. Dairy farmers benefited because they had information to breed, feed, manage and perhaps market their animals. Moreover, so dairy cattle genetic and actual performance advancement occurred at a slow to moderate rate.
Past Data Collection will not take your Dairy into the Future
Dairy folks have been trained to require 90+% accuracy when making sire selection decisions. However, the fact is that the last 5-10% in accuracy for a few traits is too costly for what it adds in improving overall herd profitability. Having expanded information from many more observations including health, reproductive, efficiency and functional traits that directly influence bottom line profit far out-weigh the last ten per cent inaccuracy for any single trait. Furthermore, beyond genetics, the expanded animal data will be very valuable for nutrition, management and business purposes.
Dairy Data Isn’t the Destination
For many dairy people, who are comfortable with the past, the future with automated systems looks frightening. Yet for many progressive dairy people wanting to advance and to be viable and sustainable, they realize that the future provides opportunities when it comes to animal information and how to use it.
The following are some Factors that will mark the Turning Point in Data Collection:
- Animal parentage will be determined using a sample supplied to a DNA lab. Tomorrow’s breeders will target the gene composition of their animals – much more than breed purity.
- Only the genetically elite purebred females will be selling for more than their value as milk producers. The days of $3000+ for above average bred heifers are behind us.
- The most accurate lactation information for a cow will be the on-farm computer captured weights and compositions from every milking during a lactation. Soon there will be routinely calibrated devices accurately to measure %fat, %protein and udder health, with more measurements to come, at the parlour level. A cow measured 100 to 900 times in a lactation will have more accurate information than from 4-8 supervised test day samples run through an internationally certified lab. Since all cows in a herd will have data captured using the same device, within-herd comparisons will be accurate.
- Dairy managers will require more milking cow information on health, feed conversion/feed intake, stress factors, rumination, mobility, reproduction, and more. They will want the information instantaneously with all on-farm data capture systems linked, combined and modelled in order to feed, breed and manage in real time.
- Dairy managers will also want on-farm data capture and analysis systems that include calves, heifers and dry cows.
- Herds will be mated on an animal group basis, determined by genetic merit, instead of animal phenotype. Epigenetics and nutrigenetics information will be used when making mating decisions.
- Genomic indexes will increase in accuracy, to 80%-90% REL, within the next decade provided there is phenotypic data captured on-farm and shared to central databases for analysis.
- 95+% of the sires used will be genomically evaluated, and their sexed semen will produce 95+% female offspring. There will be no need to keep sires in stud after 50,000 doses have been frozen.
- The availability of more and more on-farm economically relevant data will far out-weigh the value of third-party verified data on a limited number of traits for 95+% of dairy farms.
- Plan for the rate of change and animal improvement to be even faster in the future.
- Tomorrow’s dairy operators will require all the data, from the field to the fork, to be successful.
Are There Steps to Get to the Future?
The short answer is yes. However, it will require proactive and dynamic decisions by the dairy industry:
- Dairy people will decide for themselves what individual dairy animal data and information they will consider, trust and use.
- Individual animal data/information, when published, will be labelled as to the data source.
- On-line apps will be used for sourcing, comparing and benchmarking data and information.
- Computer software-based learning technologies will provide herd managers with comprehensive and forecasting models, so dairy enterprise plans and strategies can be achieved.
- Dairy cattle owners will focus their genetic improvement planning on their herd’s economically important needs.
- Private company proprietary genetic indexes are here to stay. Companies will need to be able to show relevance and accuracy for their indexes.
Time and technology will wait for no person. You will either be with or ahead of change, or you will quickly finish behind the pack.
The Bullvine Bottom Line
‘The bend in the road is not the end of the road unless you fail to make the turn.’
Past measures that were in place to protect the innocent from wrong information have served the dairy improvement industry well. However, the future will use animal data and information much differently.
Dairy people, their advisors and service providers, are already in the Age of Data Super Power. The volume of data will increase exponentially. The large volume of data points for many more factors will lead to high overall accuracy and facilitate dairy farm success.
Organizations and breeders that stick with the past will remain in the past. In the future individuals and organizations that implement new procedures, new technology, new systems and new disclosure and accountability protocols will be the leaders.
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