Villanueva B, Bijma P, Woolliams J A
Scottish Agricultural College, West Mains Road, Edinburgh, EH9 3JG, Scotland, UK.
Genet Sel Evol. 2000 Jul-Aug;32(4):339-55. doi: 10.1186/1297-9686-32-4-339.
Optimum breeding schemes for maximising the rate of genetic progress with a restriction on the rate of inbreeding (per year or per generation) are investigated for populations with overlapping generations undergoing mass selection. The optimisation is for the numbers of males and females to be selected and for their distribution over age classes. Expected rates of genetic progress (DeltaG) are combined with expected rates of inbreeding (DeltaF) in a linear objective function (Phi = DeltaG - lambdaDeltaF) which is maximised. A simulated annealing algorithm is used to obtain the solutions. The restriction on inbreeding is achieved by increasing the number of parents and, in small schemes with severe restrictions, by increasing the generation interval. In the latter case the optimum strategy for obtaining the maximum genetic gain is far from truncation selection across age classes. In most situations, the optimum mating ratio is one but the differences in genetic gain obtained with different mating ratios are small. Optimisation of schemes when restricting the rate of inbreeding per generation leads to shorter generation intervals than optimisation when restricting the rate of inbreeding per year.
针对进行群体选择的重叠世代群体,研究了在对近亲繁殖率(每年或每代)加以限制的情况下,使遗传进展速率最大化的最优育种方案。优化内容包括要选择的雄性和雌性数量以及它们在年龄组中的分布。预期遗传进展速率(ΔG)与预期近亲繁殖速率(ΔF)被纳入一个线性目标函数(Φ = ΔG - λΔF)中进行组合,并使该函数最大化。使用模拟退火算法来获得解决方案。通过增加亲本数量来实现对近亲繁殖的限制,而在限制严格的小规模方案中,则通过延长世代间隔来实现。在后一种情况下,获得最大遗传增益的最优策略与跨年龄组的截断选择相差甚远。在大多数情况下,最优交配比例为1,但不同交配比例所获得的遗传增益差异较小。与限制每年近亲繁殖速率时的优化相比,限制每代近亲繁殖速率时方案的优化会导致更短的世代间隔。