Hicks C, Muir W M, Stick D A
Department of Animal Sciences, Purdue University, West Lafayette, Indiana 47907-1151, USA.
Poult Sci. 1998 Jan;77(1):1-7. doi: 10.1093/ps/77.1.1.
Four selection strategies aimed at maximizing egg production in laying hens were compared with respect to expected annual genetic gain (GA). The selection strategies were: 1) (S1P) Traditional single-stage selection based on a single-house production system using partial records for both the individual and its ancestors, 2) Single-stage selection based on a single-house production system using full records for both the individual and its ancestors (S1F), 3) Single-stage selection based on a two-house production system using partial records for the individual and full records for its ancestors (S2P), and 4) Multistage selection based on a two-house production system using partial records for the individual and all available ancestral records (M2P). Strategy M2P resulted in the shortest generation interval (0.538 yr) and was the most efficient (deltaGA4 = 3.620 eggs per year), whereas strategy S1F generated the longest generation interval (2 yr) and was the least efficient (deltaGA2 = 1.334 eggs per year). Strategies S1P and S2P resulted in generation intervals of 1 yr, and were intermediate in efficiency (deltaGA1 = 2.232 eggs per year, deltaGA3 = 2.593 eggs per year). It was concluded that a two-house production system utilizing multistage selection was the most effective selection methodology. Further, selection based on M2P is expected to improve persistency of lay, whereas selection on S1P will not.
针对蛋鸡产蛋量最大化的四种选择策略,就预期年遗传进展(GA)进行了比较。这些选择策略分别是:1)(S1P)基于单鸡舍生产系统的传统单阶段选择,使用个体及其祖先的部分记录;2)基于单鸡舍生产系统的单阶段选择,使用个体及其祖先的完整记录(S1F);3)基于双鸡舍生产系统的单阶段选择,使用个体的部分记录及其祖先的完整记录(S2P);4)基于双鸡舍生产系统的多阶段选择,使用个体的部分记录以及所有可用的祖先记录(M2P)。策略M2P产生的世代间隔最短(0.538年),且效率最高(每年遗传进展增量GA4 = 3.620枚蛋),而策略S1F产生的世代间隔最长(2年),且效率最低(每年遗传进展增量GA2 = 1.334枚蛋)。策略S1P和S2P产生的世代间隔为1年,效率处于中间水平(每年遗传进展增量GA1 = 2.232枚蛋,每年遗传进展增量GA3 = 2.593枚蛋)。得出的结论是,采用多阶段选择的双鸡舍生产系统是最有效的选择方法。此外,预计基于M2P的选择将提高产蛋持续性,而基于S1P的选择则不会。