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Big Data



Data collection and interpretation are very important to the seed breeding program. Without data and its interpretation, progress is impossible. Technology will create the ability to collect new data, and the effective innovation of a successful company will result. In addition, as technology evolves, the cost of technology decreases. For example, the cost per gigabyte of storage in 1980 was $ 500,000. Today the price is less than $ 0.03. This is a huge expense for the amount of data collected.

In pig breeds, there is a wave of data collection. Basic data collection includes weight, number of births, birth year, age group, wean to service time, door count, and more. These features do not require sophisticated technology. Ultrasonic balance, depth, and intramuscular oil are being collected because of advances in ultrasound technology.

Improvements in body and food quality have emerged over the years, including tools to improve pH, maripling, color, and digestion. All of these factors are important in nutrition. Genocide has over 820,000 body parts and quality food has been collected since 1998, and this year it is still growing.

Another important data controller in the pork industry is individual nutrition and behavior. There are several systems available that will gather all the food gatherings during the growing season. To date, there have been more than 43 million comments on each person's diet in finishing. In addition, technology has been developed to develop dietary nutrition during exercise and nutrition. Genes are assembling feeder function as a component of metabolism and are now available for over 21 million dietary supplements.

The most important, and most important, data source is the statistical information used for genetic analysis. Animal veterinarians receive 55,000 data points. If 500 animals are tagged weekly, it will generate 27 million data points per week, or over 1.4 billion annually. Data with this data cannot be opened or processed on the computers of the computers, so a special process must be developed by the growing company to use this information.

Data is an integral part of a scientific project and a great deal of data is still being collected. As technology advances and sells cost, new data and data are collected. Few areas expand in the future, resulting in more data, including epigenetics (studying gene expression), immunology (studying different species), and large scale construction. One example of a large structural marker is a small ear canal that collects body data on pig day. This data can be used to determine when a pig dies, or information on health expenses, heat loss for breeding. Another example is a video of pigs in a pen to monitor activity and behavior, related to energy expenditure and efficiency. Most of us know how much storage is a 1-minute video clip on our smartphones. Consider the amount created during the presentation of 24/7 to many monitoring programs in various fields.

An effective company will work hard to keep up with the latest technological advancements and use the latest technology in their training programs. People are constantly expanding their training programs using new and improved technology to increase gene expression. These investments will benefit developers who use the genes of Genesus.
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