Genetic parameters, reciprocal cross differences, and age-related heterosis of egg-laying performance in chickens

IF 3.6 1区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE Genetics Selection Evolution Pub Date : 2023-12-07 DOI:10.1186/s12711-023-00862-7
Aixin Ni, Mario P. L. Calus, Henk Bovenhuis, Jingwei Yuan, Yuanmei Wang, Yanyan Sun, Jilan Chen
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Abstract

Egg-laying performance is economically important in poultry breeding programs. Crossbreeding between indigenous and elite commercial lines to exploit heterosis has been an upward trend in traditional layer breeding for niche markets. The objective of this study was to analyse the genetic background and to estimate the heterosis of longitudinal egg-laying traits in reciprocal crosses between an indigenous Beijing-You and an elite commercial White Leghorn layer line. Egg weights were measured for the first three eggs, monthly from 28 to 76 weeks of age, and at 86 and 100 weeks of age. Egg quality traits were measured at 32, 54, 72, 86, and 100 weeks of age. Egg production traits were measured from the start of lay until 43, 72, and 100 weeks of age. Heritabilities and phenotypic and genetic correlations were estimated. Heterosis was estimated as the percentage difference of performance of a crossbred from that of the parental average. Reciprocal cross differences were estimated as the difference between the reciprocal crossbreds as a percentage of the parental average. Estimates of heritability of egg weights ranged from 0.29 to 0.75. Estimates of genetic correlations between egg weights at different ages ranged from 0.72 to 1.00. Estimates of heritability for cumulative egg numbers until 43, 72, and 100 weeks of age were around 0.15. Estimates of heterosis for egg weight and cumulative egg number increased with age, ranging from 1.0 to 9.0% and from 1.4 to 11.6%, respectively. From 72 to 100 weeks of age, crossbreds produced more eggs per week than the superior parent White Leghorn (3.5 eggs for White Leghorn, 3.8 and 3.9 eggs for crossbreds). Heterosis for eggshell thickness ranged from 2.7 to 6.6% when using Beijing-You as the sire breed. No significant difference between reciprocal crosses was observed for the investigated traits, except for eggshell strength at 54 weeks of age. The heterosis was substantial for egg weight and cumulative egg number, and increased with age, suggesting that non-additive genetic effects are important in crossbreds between the indigenous and elite breeds. Generally, the crossbreds performed similar to or even outperformed the commercial White Leghorns for egg production persistency.
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鸡产蛋性能的遗传参数、互交差异和年龄相关的杂种优势
产蛋性能在家禽育种计划中具有重要的经济意义。在传统蛋鸡育种中,利用本地优良品系与优质商品品系杂交利用杂种优势已成为一种上升趋势。本研究的目的是分析京优与利来霍恩白产蛋系正交纵向产卵性状的遗传背景和杂种优势。在28周龄至76周龄、86周龄和100周龄期间每月测量前三个蛋的蛋重。分别在32、54、72、86和100周龄测定鸡蛋品质性状。从产蛋开始至43、72和100周龄测量产蛋性状。对遗传力、表型和遗传相关性进行了估计。杂种优势估计为一个杂交品种的性能与亲本平均性能的百分比差异。互易杂交差的估计是互易杂交间的差占亲本平均值的百分比。估计蛋重遗传率在0.29到0.75之间。不同年龄的蛋重之间的遗传相关性估计在0.72到1.00之间。到43、72和100周龄的累积卵数的遗传率估计约为0.15。卵重和累积卵数的杂种优势估计值随年龄增长而增加,分别为1.0 ~ 9.0%和1.4 ~ 11.6%。从72周龄到100周龄,杂交品种每周产蛋量高于优良亲本白来客霍恩(白来客霍恩3.5个蛋,杂交品种3.8个蛋和3.9个蛋)。以京优为主种时,蛋壳厚度的杂种优势为2.7 ~ 6.6%。除54周龄蛋壳强度外,其他性状在正交间无显著差异。在蛋重和累积蛋数方面,杂种优势显著,且随年龄增长而增加,表明在地方品种和优良品种杂交中,非加性遗传效应很重要。一般来说,杂交品种在产蛋持续性方面的表现与商业白来角相似,甚至优于商业白来角。
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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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