
| Title | Summary | Date | ID | Author(s) | |
|---|---|---|---|---|---|
| DHI 202 Includes a New Genetic Profile of Service Sires | Mar 29, 2010 | ||||
| Dairy Crossbreeding Research: Results from Current Projects |
Many dairy producers practice some crossbreeding, and the numbers increase every year. Motivating factors include a desire to improve fertility, survival, milk components, and calving ease. Some producers want cows smaller than mature Holsteins. Several large, long-term dairy crossbreeding experiments have been conducted in the United States in the past. Cows involved in previous projects were not the result of intensive selection programs for type and production that produced today’s purebred populations. |
May 1, 2009 | 404-094 | ||
| Dairy Crossbreeding: Why and How |
The Merit indexes are dairy sire selection tools published by USDA that combine genetic evaluations for production, health, fitness, and fertility traits. The indexes are designed to improve the lifetime economic performance of future dairy cows. Periodic revisions include new traits and adjusted economic weights. This document describes the indexes as revised for August 2006. Future changes are inevitable, thus the title “2006 Version.” |
May 1, 2009 | 404-093 | ||
| Dairy Pipeline - July 2009 | Jun 17, 2009 | ||||
| Dairy Pipeline - June 2009 | Jun 5, 2009 | ||||
| Dairy Pipeline, April 2010 | Mar 29, 2010 | ||||
| Dairy Pipeline, January/February 2010 | Nov 5, 2009 | ||||
| Dairy Pipeline, July/August 2010 | Jul 1, 2010 | ||||
| Dairy Pipeline, June 2010 | Jun 1, 2010 | ||||
| Dairy Pipeline, March 2010 | Feb 23, 2010 | ||||
| Dairy Pipeline, May 2010 | Apr 23, 2010 | ||||
| Dairy Pipeline, November 2009 | Nov 5, 2009 | ||||
| Dairy Pipeline, October 2009 | Oct 1, 2009 | ||||
| Dairy Pipeline, September 2009 | Sep 2, 2009 | ||||
| Genetic Improvement Using Young Sires With Genomic Evaluations | Apr 21, 2010 | 404-090 | |||
| Inbreeding |
The mating of related individuals is called inbreeding. New dairy animals created by AI or natural service inherit a random sampling of the genetic makeup of each parent. If the parents are related, some of the genes transmitted to offspring by each parent will be copies of the same genes found in the common ancestor(s) which caused the parents to be related. As the genetic relationship between parents increases, the likelihood that pairs of genes in offspring are copies of a single gene in an ancestor generations back increases. Such genes are said to be "identical by descent." |
May 1, 2009 | 404-080 | ||
| Selection based on Genomic Proofs Works | Sep 2, 2009 | ||||
| Sire Evaluations for Health and Fitness Traits |
Dairy producers have selected for higher milk production for many years. Genetic improvement causes an average Holstein cow born in 2003 to produce over 7,000 pounds more milk in one lactation than her ancestor born in 1960 produced. Type traits, particularly udders and feet and legs, have also improved because of intensive selection. However, the health and fertility of dairy cows cannot be included among these success stories. Genetic trend was responsible for half of a 9-point decline in pregnancy rate in Holsteins between 1960 and its low point in 1995. Dairy-cattle breeders responded by developing national genetic evaluation programs for a number of fitness traits in recent years. |
May 1, 2009 | 404-087 | ||
| Sire ID - A point of pride for Virginia DHI | Jun 2, 2010 | ||||
| The All-Breed Animal Model |
The all-breed animal model is the genetic-evaluation system used to evaluate dairy animals in the United States. Scientists and technicians at the Animal Improvement Programs Laboratory (AIPL) at Agriculture Research Service in Beltsville, Md., developed and support the system. There are two major differences between the all-breed animal model and the single-breed animal model it replaced:
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May 1, 2009 | 404-086 | ||
| The Merit Indexes - 2006 |
The Merit indexes are dairy sire selection tools published by USDA that combine genetic evaluations for production, health, fitness, and fertility traits. The indexes are designed to improve the lifetime economic performance of future dairy cows. Periodic revisions include new traits and adjusted economic weights. This document describes the indexes as revised for August 2006. Future changes are inevitable, thus the title “2006 Version.” |
May 1, 2009 | 404-088 | ||
| Upcoming Activities | Apr 23, 2010 | ||||
| Upcoming Activities | Dec 22, 2009 | ||||
| Upcoming Activities | Jun 17, 2009 | ||||
| Upcoming Activities | Jul 2, 2010 | ||||
| Upcoming Activities | Jun 2, 2010 | ||||
| Upcoming Activities | Mar 29, 2010 | ||||
| Upcoming Activities | Feb 23, 2010 | ||||
| Upcoming Activities | Nov 5, 2009 | ||||
| Upcoming Activities | Oct 1, 2009 | ||||
| Upcoming Activities | Sep 2, 2009 | ||||
| Using DHI records to make culling decisions: Lactation Ratings, ERPA's, and Predicted Producing Abilities |
Culling decisions affect the profitability of the dairy herd. Feed resources and management skills used to maintain unproductive cows would generate more income if applied to productive cows. DHI records contain important information to help guide culling decisions. This guideline describes three systems for rating cows for production traits. Producers recognize that information about production must be combined with reproductive and health status, age, and other factors to make profitable culling decisions. Suggestions for combining information to make good culling decisions are offered. |
May 1, 2009 | 404-083 | ||
| Using Heritability for Genetic Improvement |
Concepts surrounding the word "Heritability" (frequently represented by the symbol h2) are among the most important that a breeder of dairy cattle should understand. Heritability applies to a single trait measured on animals in a specific population at a given point in time. Estimates of heritability for a trait can differ between breeds of dairy cattle and may change slowly over time. Heritability is estimated from performance records on animals and pedigree information used to establish genetic relationships between those animals. Heritability helps explain the degree to which genes control expression of a trait. Heritability is used to calculate genetic evaluations, to predict response to selection, and to help producers decide if it is more efficient to improve traits through management or through selection. This guideline highlights definitions and uses of heritability and lists estimates of heritability for several important traits in dairy cattle breeding. |
May 1, 2009 | 404-084 |