Defining valid breeding goals for animal breeds.

IF 3.6 1区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE Genetics Selection Evolution Pub Date : 2023-11-21 DOI:10.1186/s12711-023-00855-6
Robin Wellmann, Nicolas Gengler, Jörn Bennewitz, Jens Tetens
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引用次数: 0

Abstract

Background: The objective of any valid breeding program is to increase the suitability of a breed for its future purposes. The approach most often followed in animal breeding for optimizing breeding goals assumes that the sole desire of the owners is profit maximization. As this assumption is often violated, a generalized approach is needed that does not rely on this assumption.

Results: The generalized approach is based on the niche concept. The niche of a breed is a set of environments in which a small population of the breed would have a positive population growth rate. Its growth rate depends on demand from prospective consumers and supply from producers. The approach involves defining the niche that is envisaged for the breed and identifying the trait optima that maximize the breed's adaptation to its envisaged niche within the set of permissible breeding goals. The set of permissible breeding goals is the set of all potential breeding goals that are compatible with animal welfare and could be reached within the planning horizon of the breeding program. In general, the breed's adaptation depends on the satisfaction of the producers with the animals and on the satisfaction of the consumers with the products produced by the animals. When consumers buy live animals, then the breed needs to adapt to both the environments provided by the producers, and the environments provided by the consumers. The profit function is replaced by a more general adaptedness function that measures the breed's adaptation to its envisaged niche.

Conclusions: The proposed approach coincides with the traditional approach if the producers have the sole desire to maximize their income, and if consumer preferences are well reflected by the product prices. If these assumptions are not met, then the traditional approach to breeding goal optimization is unlikely to result in a valid breeding goal. Using the example of companion breeds, this paper shows that the proposed approach has the potential to fill the gap.

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确定动物品种的有效繁殖目标。
背景:任何有效的育种计划的目标都是增加品种对其未来用途的适用性。在动物育种中,最常采用的优化育种目标的方法是假设所有者的唯一愿望是利润最大化。由于这一假设经常被违反,因此需要一种不依赖于这一假设的通用方法。结果:基于生态位概念的广义方法。一个品种的生态位是一组环境,在这些环境中,该品种的一小部分种群会有正的种群增长率。其增长率取决于潜在消费者的需求和生产商的供应。该方法包括确定品种设想的生态位,并确定在允许的育种目标范围内最大限度地提高品种适应其设想生态位的最佳性状。允许的繁殖目标集是所有潜在的繁殖目标的集合,这些目标与动物福利相容,并且可以在繁殖计划的规划范围内达到。一般来说,品种的适应性取决于生产者对动物的满意程度和消费者对动物生产的产品的满意程度。当消费者购买活体动物时,这个品种需要适应生产者提供的环境,也需要适应消费者提供的环境。利润函数被更普遍的适应性函数所取代,该函数衡量品种对其设想的生态位的适应性。结论:如果生产者唯一的愿望是最大化他们的收入,如果消费者的偏好很好地反映在产品价格上,那么所提出的方法与传统方法是一致的。如果这些假设不满足,那么传统的育种目标优化方法就不太可能产生有效的育种目标。以伴侣品种为例,本文表明所提出的方法有可能填补这一空白。
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来源期刊
Genetics Selection Evolution
Genetics Selection Evolution 生物-奶制品与动物科学
CiteScore
6.50
自引率
9.80%
发文量
74
审稿时长
1 months
期刊介绍: Genetics Selection Evolution invites basic, applied and methodological content that will aid the current understanding and the utilization of genetic variability in domestic animal species. Although the focus is on domestic animal species, research on other species is invited if it contributes to the understanding of the use of genetic variability in domestic animals. Genetics Selection Evolution publishes results from all levels of study, from the gene to the quantitative trait, from the individual to the population, the breed or the species. Contributions concerning both the biological approach, from molecular genetics to quantitative genetics, as well as the mathematical approach, from population genetics to statistics, are welcome. Specific areas of interest include but are not limited to: gene and QTL identification, mapping and characterization, analysis of new phenotypes, high-throughput SNP data analysis, functional genomics, cytogenetics, genetic diversity of populations and breeds, genetic evaluation, applied and experimental selection, genomic selection, selection efficiency, and statistical methodology for the genetic analysis of phenotypes with quantitative and mixed inheritance.
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