GENETIC AND ECONOMIC-ANALYSES OF SOW REPLACEMENT RATES IN THE COMMERCIAL TIER OF A HIERARCHICAL SWINE BREEDING STRUCTURE

被引:15
作者
FAUST, MA
ROBISON, OW
TESS, MW
机构
[1] MONTANA STATE UNIV,DEPT ANIM SCI,BOZEMAN,MT 59717
[2] N CAROLINA STATE UNIV,DEPT ANIM SCI,RALEIGH,NC 27695
关键词
PIGS; BREEDING PROGRAMS; GENETIC GAIN; ECONOMICS; SIMULATION;
D O I
10.2527/1993.7161400x
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Commercial-level sow replacement rates were investigated for a 10-yr planning horizon using a stochastic life-cycle swine production model. A three-tiered breeding structure was modeled for the production of market hogs in a three-breed static crossing scheme. Growth and reproductive traits of individual pigs were simulated using genetic, environmental, and economic parameters. Culling was after a maximum of 1, 5, or 10 parities in commercial levels within 1- and 5-parity nucleus and 1-, 5-, and 10-parity multiplier combinations. Yearly changes and average phenotypic levels were computed for pig and sow performance and economic measures. For growth traits, greater commercial level response was for systems with higher sow replacement rates, 110 to 115% of lowest response. Phenotypic changes in net returns ranged from $.85 to 1.01-pig-1-yr-1. Average growth performances were highest for systems with greatest genetic trend. Highest kilograms-sow-1-year-1 finished was for 10-parity commercial alternatives. System differences in total costs and returns per pig resulted primarily from differences in replacement costs. Removal of the gilt system from analyses often reduced ranges among systems for economic measures by more than 70%. Systems with the lowest commercial replacement rates were most profitable. Within these systems, those with higher genetic change had highest net returns. For high replacement rates, no more than 175% of market value could be paid for gilts, but with lower sow replacement rates commercial units could justify as much as 450%.
引用
收藏
页码:1400 / 1406
页数:7
相关论文
共 20 条
[1]   SIMULATION OF BREED AND CROSSBREEDING EFFECTS ON COSTS OF PORK PRODUCTION [J].
BENNETT, GL ;
TESS, WM ;
DICKERSON, GE ;
JOHNSON, RK .
JOURNAL OF ANIMAL SCIENCE, 1983, 56 (04) :801-813
[2]   ECONOMIC-EFFICIENCY OF PIG BREEDING SCHEMES - BREEDING COMPANY VIEW [J].
BICHARD, M .
LIVESTOCK PRODUCTION SCIENCE, 1977, 4 (03) :245-254
[3]   SIMULATED EFFICIENCY OF RANGE BEEF-PRODUCTION .3. CULLING STRATEGIES AND NONTRADITIONAL MANAGEMENT-SYSTEMS [J].
BOURDON, RM ;
BRINKS, JS .
JOURNAL OF ANIMAL SCIENCE, 1987, 65 (04) :963-969
[4]   A MODEL TO ESTIMATE ECONOMIC VALUES OF TRAITS IN PIG BREEDING [J].
DEVRIES, AG .
LIVESTOCK PRODUCTION SCIENCE, 1989, 21 (01) :49-66
[5]   GENETIC AND ECONOMIC-ANALYSES OF FEMALE REPLACEMENT RATES IN THE DAM-DAUGHTER PATHWAY OF A HIERARCHICAL SWINE BREEDING STRUCTURE [J].
FAUST, MA ;
ROBISON, OW ;
TESS, MW .
JOURNAL OF ANIMAL SCIENCE, 1992, 70 (07) :2053-2064
[6]   A BIOECONOMIC SIMULATION-MODEL FOR A HIERARCHICAL SWINE BREEDING STRUCTURE [J].
FAUST, MA ;
TESS, MW ;
ROBISON, OW .
JOURNAL OF ANIMAL SCIENCE, 1992, 70 (06) :1760-1774
[7]   DERIVATION OF IMPROVEMENT LAGS IN A LIVESTOCK INDUSTRY [J].
GUY, DR ;
SMITH, C .
ANIMAL PRODUCTION, 1981, 32 (JUN) :333-336
[8]  
HARRIS DL, 1986, 3RD P WORLD C GEN AP, V12, P257
[9]  
Hazel LN, 1943, GENETICS, V28, P476
[10]   REPRODUCTIVE LIFETIME OF SOWS IN RELATION TO ECONOMY OF PRODUCTION [J].
KROES, Y ;
VANMALE, JP .
LIVESTOCK PRODUCTION SCIENCE, 1979, 6 (02) :179-183