scholarly journals Economic selection index development for Beefmaster cattle II: General-purpose breeding objective1

2017 ◽  
Vol 95 (5) ◽  
pp. 1913-1920 ◽  
Author(s):  
K. P. Ochsner ◽  
M. D. MacNeil ◽  
R. M. Lewis ◽  
M. L. Spangler
Keyword(s):  
Selection Index ◽  
General Purpose ◽  
Index Development ◽  
Economic Selection

scholarly journals Economic selection index development for Beefmaster cattle II: General-purpose breeding objective

2017 ◽  
Vol 95 (5) ◽  
pp. 1913
Author(s):  
K. P. Ochsner ◽  
M. D. MacNeil ◽  
R. M. Lewis ◽  
M. L. Spangler
Keyword(s):  
Selection Index ◽  
General Purpose ◽  
Breeding Objective ◽  
Index Development ◽  
Economic Selection

scholarly journals Economic selection index development for Beefmaster cattle I: Terminal breeding objective1

2017 ◽  
Vol 95 (3) ◽  
pp. 1063-1070 ◽  
Author(s):  
K. P. Ochsner ◽  
M. D. MacNeil ◽  
R. M. Lewis ◽  
M. L. Spangler
Keyword(s):  
Selection Index ◽  
Index Development ◽  
Economic Selection

scholarly journals Economic selection index development for Beefmaster cattle I: Terminal breeding objective

2017 ◽  
Vol 95 (3) ◽  
pp. 1063
Author(s):  
K. P. Ochsner ◽  
M. D. MacNeil ◽  
R. M. Lewis ◽  
M. L. Spangler
Keyword(s):  
Selection Index ◽  
Breeding Objective ◽  
Index Development ◽  
Economic Selection

scholarly journals 90 Effectiveness of an Educational Program on Beef Bull Selection that Incorporates Classroom Instruction and a Mock Auction

2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 73-73
Author(s):  
Darrh Bullock ◽  
Katherine VanValin ◽  
Jeffery Lehmkuhler ◽  
Leslie Anderson ◽  
Benjamin Crites ◽  
...  
Keyword(s):  
Educational Program ◽  
Classroom Instruction ◽  
Selection Index ◽  
Extension Agents ◽  
Purchasing Decisions ◽  
Management Scenarios ◽  
Best Value ◽  
Beef Producers ◽  
The Individual ◽  
Economic Selection

Abstract An educational program was developed to assist beef producers with making informed bull purchasing decisions. There are two core pieces to this decision: targeting the bull’s genetics to the producer’s management and resources, and paying a price that maximizes the return on investment. This was a two-part educational program; the first session was classroom instruction with topics related to proper bull selection. At the conclusion of this session producers were assigned one of five management scenarios and received a sale catalogue with 60 bulls. Videos of all bulls were made available, along with all production information, including adjusted measurements, EPD and indices. The producers were tasked with returning the next week to attend the mock auction and purchase the best valued bull for their assigned scenario. At the conclusion of the auction, each scenario was discussed and the individual that purchased the best value bull in each scenario was recognized. Value was determined as the price paid for the bull compared to a price determined through an “economic selection index” equation. Beef producers (n = 322) participated in the program over 9 locations; in locations with less attendance, a reduced sale catalogue was used. Of the post-program survey respondents (n = 155), 71% were commercial beef producers, 27% were seedstock producers and 5% were Extension agents (n = 10, were cross classified). When asked how much time they spent reviewing the materials before the mock sale 8% said they made their decision at the sale, 16% spent 30 minutes or less, 58% spent 30 minutes to 2 hours and 18% spent over 2 hours preparing. When asked if the program would help with their next bull purchase, 88% said it would probably or definitely help. The conclusion was that this was a valuable educational program.

Multi-trait selection index and cluster analyses in Angus cattle

2021 ◽  
pp. 1-8
Author(s):  
G. M. Fernandes ◽  
R. P. Savegnago ◽  
L. A. Freitas ◽  
L. El Faro ◽  
V. M. Roso ◽  
...  
Keyword(s):  
Production System ◽  
Selection Process ◽  
Selection Index ◽  
Genetic Selection ◽  
Genetic Profile ◽  
Breeding Values ◽  
Cluster Analyses ◽  
Scrotal Circumference ◽  
Breeding Programmes ◽  
Economic Selection

Abstract In breeding programmes, the genetic selection process is based on the prediction of animal breeding values, and its results may vary according to the employed selection method. The current study developed an economic selection index for animals of the Angus breed; performed cluster analyses using the breeding values in order to evaluate the genetic profile of the animals candidates to selection, and compared the obtained results between the economic selection index and the cluster analyses. The evaluated traits included weaning weight, 18-month weight, scrotal circumference, fat thickness and ribeye area. Economic values were obtained using bioeconomic modelling, simulating a complete cycle production system of beef cattle breeds in Brazil, and the selection objective were the weaning rate and slaughter weight. The chosen selection index was composed of all of the traits used as selection criteria for the simulated production system. During the cluster analyses, the population was divided into two to four groups, in which the groupings containing potential animals were assessed. The animals of the grouping which was used for comparison with the selection index were identified, and most of the bulls that were included in the index were among the best in the analysed group. These results suggest that the cluster analyses can be used as a tool for the selection of animals to be used as parents for future generations.

scholarly journals Economic selection index in the genomic era

2019 ◽  
Vol 136 (3) ◽  
pp. 151-152 ◽  
Author(s):  
Hiroyuki Hirooka
Keyword(s):  
Selection Index ◽  
Economic Selection

scholarly journals Economic Importance of Genetic Improvements in Milk Production, Reproduction, and Productive Life

EDIS ◽  
2019 ◽  
Vol 2005 (15) ◽  
Author(s):  
Albert De Vries
Keyword(s):  
Selection Index ◽  
Cooperative Extension Service ◽  
Publication Date ◽  
Animal Science ◽  
University Of Florida ◽  
Dairy Traits ◽  
Improvement Programs ◽  
Fat Yield ◽  
Genetic Evaluations ◽  
Economic Selection

Florida dairy producers have access to genetic evaluations for many dairy traits that are economically important. These traits are combined in economic selection indexes to rank bulls and cows for total profitability. The first economic selection index, introduced in 1971 by the USDA-Animal Improvement Programs Laboratory (USDA-AIPL) in Beltsville, MD, included only milk and fat yield. But other traits, such as the ability to get pregnant in time or to avoid culling, determine a cow's profitability as well. This document is AN158, one of a series of the Animal Science Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. Original publication date November, 2005. 

Economic selection index to improve fiber quality in Mongolian Cashmere goats

2020 ◽  
Vol 232 ◽  
pp. 103898
Author(s):  
Batchimeg Tseveenjav ◽  
Dorian J. Garrick ◽  
Enkhzaya Batjargal ◽  
Zagdsuren Yondon
Keyword(s):  
Fiber Quality ◽  
Selection Index ◽  
Cashmere Goats ◽  
Economic Selection

The use of product traits such as lean growth rate as selection criteria in animal breeding

1987 ◽  
Vol 45 (2) ◽  
pp. 307-316 ◽  
Author(s):  
G. Simm ◽  
C. Smith ◽  
R. Thompson
Keyword(s):  
Growth Rate ◽  
Selection Criteria ◽  
Genetic Parameters ◽  
Selection Index ◽  
Genetic Correlations ◽  
Or Efficiency ◽  
Economic Values ◽  
Lean Growth ◽  
Component Traits ◽  
Economic Selection

ABSTRACTIn meat animals there is some interest in lean growth rate or lean food conversion efficiency as selection criteria. These traits may be estimated as the product of growth rate (or efficiency), killing-out proportion and carcass lean proportion. When used as selection criteria these product traits do not require estimates of genetic parameters or economic values for component traits. Hence, they may be more stable, and of longer-term use than classical economic selection indices. The purpose of this study is to compare expected responses to selection on product traits with expected responses from selection, either on individual component traits, or on an economic selection index. Formulae were derived for predicting the phenotypic and genetic correlations between a product and one component, and for predicting the heritability of the product trait; these depend on the coefficients of variation and heritabilities of components, and on the genetic correlations among them. When the coefficient of variation of one component is much higher than that of the other, (× 3), this component will tend to dominate the product trait. In cattle and sheep, and to a lesser extent in pigs, killing-out proportion and leanness are usually less variable than growth rate or efficiency. Thus, in many cases, there is little loss in response in lean growth (or lean efficiency) from selection solely on growth rate (or efficiency) regardless of leanness. Although product traits do not require derivation of economic values, their component traits do have implied economic values. Often more appropriate weightings will be given to components by using an economic selection index, even when economic values and genetic parameters are not estimated precisely.

0390 Economic selection index coefficients for terminal traits in Beefmaster cattle

2016 ◽  
Vol 94 (suppl_5) ◽  
pp. 189-189 ◽  
Author(s):  
K. P. Ochsner ◽  
R. M. Lewis ◽  
M. D. MacNeil ◽  
M. L. Spangler
Keyword(s):  
Selection Index ◽  
Economic Selection
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