Predicting inheritance of breeding herds

How much of their advantage for a particular trait do superior animals transmit to their offspring? Heritability estimates help us answer this important question. This guide explains the meaning of heritability estimates, how they are calculated, and how they may be used for the improvement of livestock through breeding.John W. Massey, John F. Lasley, and Billy N. Day (Department of Animal Husbandry, College of Agriculture)Revised 7/80/8

Genetics of coat color of horses

"Loud-colored horses command high prices. Of course they must be acceptable in conformation. Questions often asked by horsemen are 'How can I get a certain coat color?' or 'Why did I get so much difference in the foal's color compared to its parents?'"--First page.Wayne Loch, John F. Lasley, and Melvin Bradley (Department of Animal Science, College of Agriculture)Reprinted 10/88/5

Genotype x environment interactions in sire evaluation

Part of Ph. D thesis submitted by S.N. Pani ... --P. [4].Digitized 2007 AES MoU.Includes bibliographical references (page [24])

Value of beef performance records

John W. Massey, James E. Ross, and John F. Lasley (Department of Animal Husbandry, College of Agriculture)Rev. 7/78/S

Genetics of livestock improvement

xvii 423 hal.;ill.;25 cm

Beef Cattle Production

xii.468 Hal.;ill.;23 c

Genetics of livestock Improvement

--.429 hal.;ill.;22 c

The Science of Animal That Serve Humanity

--.76 hal.;ill.;23 c

Selected diet and lifestyle factors are associated with estrogen metabolites in a multiracial/ethnic population of women

Diet and lifestyle factors, body size, and smoking behavior may influence estrogen metabolism, but the nature of these relations may vary according to race/ethnic groups. We evaluated the association of lifestyle factors with estrogen metabolites 2-hydroxyestrone (2-OHE1) and 16alpha-hydroxyestrone (16alpha-OHE1) in a racially diverse population. With a cross-sectional study design, urine samples from 1881 African-American, Caucasian, Chinese, Japanese, and Hispanic women, aged 42-52 y, from the Study of Women\u27s Health Across the Nation (SWAN) were assayed by EIA for 2-OHE1 and 16alpha-OHE1. Dietary factors and beverages were measured using a modified Block FFQ. Dietary fiber, vegetable and fruit servings, Brassica vegetables, polyphenols, coffee, caffeine, green and black tea, and total alcohol and wine were related to metabolite values using multiple variable regression analyses. In adjusted analyses, 2-OHE1 concentrations were significantly associated with race/ethnicity, weight, smoking, and consumption of hydroxybenzoic acid, anthocyanidins, wine, and caffeine (P \u3c 0.05). Regression models incorporating these variables explained 19-20% of the variation in 2-OHE1 concentrations. Regression models for 16alpha-OHE1, which explained 16-17% of the variability, included race/ethnicity, smoking, caffeine, total dietary fiber, and fiber from fruits and vegetables as variables. These associations may reflect why increased consumption of polyphenol-containing foods and fruit as well as decreased smoking, caffeine intake, and body size would be consistent with hypothesized benefits and risks for selected health outcomes