Using Weighted Goal Programming Model to Achieve Genetic Gain in a Beluga Sturgeon Breeding Program.

IF 1.9 3区 农林科学 Q2 AGRICULTURE, DAIRY & ANIMAL SCIENCE
Mina Rahbar, Roghieh Safari, Carlos I Perez-Rostro
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Abstract

We estimated the desired genetic gains for important traits in Beluga sturgeon (Huso huso) using an analytic hierarchy process (AHP) and weighted goal programming (WGP). Two questionnaires were distributed to 122 private Beluga sturgeon farmers in Iran in two stages. The initial stage involved the first questionnaire, which aimed to gather information on the environmental and management aspects of the farms. Additionally, farmers were requested to rate 4 important traits from a list of 12 traits for genetic improvement in the Beluga breeding program. Based on the results, four traits, that is, ovarian fat lobe weight (OFW), total caviar weight (CW), body weight of broodstock (BW) and larval body area at hatching (LBA) were rated highest. In the second stage, the second questionnaire asked farmers to make six pairwise comparisons between the above traits to determine preferences of these traits. The analytical hierarchy process was used to estimate individual preference (Ind-P) values using Super Decisions software. The medians of the Ind-P values were OFW and CW (0.30), BW (0.27) and LBA (0.10). Social group preference (Soc-P) values were estimated for five categories, with 13 social groups using the WGP model in LINGO software. Most disagreements in Soc-P values were found between the commercial products and water temperature categories. Consensus preference values (Con-P) for the above two categories were obtained by the extended WGP model with the range of λ between 0 and 1 in LINGO software. The average best Con-P values were OFW = BW (0.29), LBA (0.21) and CW (0.19). Desired genetic gains (%) were calculated using the percentage genetic improvement (G%) multiplied by the mean of Con-P, yielding values of 2.09, 1.88, 1.44 and 0.62 for BW, CW, LBA and OFW, respectively. The most important achievements of this research are the determination of the economic traits importance and multi-traits selection in the Beluga breeding program.

利用加权目标规划模型实现白鲟繁殖计划的遗传增益。
采用层次分析法(AHP)和加权目标规划(WGP)对白鲟(Huso Huso)重要性状的期望遗传增益进行了估计。分两个阶段向伊朗122名私营白鲟养殖户发放了两份调查问卷。最初阶段涉及第一份调查表,目的是收集关于农场环境和管理方面的资料。此外,农民被要求从白鲸育种计划的12个遗传改良性状中选出4个重要性状。结果表明,对卵巢脂肪瓣重(OFW)、鱼子酱总重(CW)、育鱼体重(BW)和幼虫孵化体面积(LBA)评价最高。在第二阶段,第二份问卷要求农民在上述性状之间进行6次两两比较,以确定这些性状的偏好。使用Super Decisions软件,采用层次分析法估计个体偏好(Ind-P)值。Ind-P值中位数为OFW和CW(0.30)、BW(0.27)和LBA(0.10)。使用LINGO软件中的WGP模型对13个社会群体的5类社会群体偏好(Soc-P)值进行估计。Soc-P值在商业产品和水温类别之间存在最大差异。在LINGO软件中,利用λ范围为0 ~ 1的扩展WGP模型,得到了上述两类的共识偏好值(Con-P)。平均最佳Con-P值为OFW = BW(0.29)、LBA(0.21)和CW(0.19)。期望遗传增益(%)用遗传改良百分数(G%)乘以Con-P的平均值计算,BW、CW、LBA和OFW的产量值分别为2.09、1.88、1.44和0.62。本研究最重要的成果是经济性状重要性的确定和多性状选择在白鲸育种计划中的应用。
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来源期刊
Journal of Animal Breeding and Genetics
Journal of Animal Breeding and Genetics 农林科学-奶制品与动物科学
CiteScore
5.20
自引率
3.80%
发文量
58
审稿时长
12-24 weeks
期刊介绍: The Journal of Animal Breeding and Genetics publishes original articles by international scientists on genomic selection, and any other topic related to breeding programmes, selection, quantitative genetic, genomics, diversity and evolution of domestic animals. Researchers, teachers, and the animal breeding industry will find the reports of interest. Book reviews appear in many issues.
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