自动测量阴道温度、呼吸效率的遗传参数,以及在热应激条件下对泌乳母猪测量的其他耐热性指标。

IF 3.6 1区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE
Pedro H F Freitas, Jay S Johnson, Hui Wen, Jacob M Maskal, Francesco Tiezzi, Christian Maltecca, Yijian Huang, Ashley E DeDecker, Allan P Schinckel, Luiz F Brito
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The main indicators evaluated were: skin surface temperatures (SST), automatically-recorded vaginal temperature (T<sub>V</sub>), respiration rate (RR), panting score (PS), body condition score (BCS), hair density (HD), body size (BS), ear size, and respiration efficiency (R<sub>eff</sub>).</p><p><strong>Results: </strong>Traits based on T<sub>V</sub> presented moderate heritability estimates, ranging from 0.15 ± 0.02 to 0.29 ± 0.05. Low heritability estimates were found for SST traits (from 0.04 ± 0.01 to 0.06 ± 0.01), RR (0.06 ± 0.01), PS (0.05 0.01), and R<sub>eff</sub> (0.03 ± 0.01). Moderate to high heritability values were estimated for BCS (0.29 ± 0.04 for caliper measurements and 0.25 ± 0.04 for visual assessments), HD (0.25 ± 0.05), BS (0.33 ± 0.05), ear area (EA; 0.40 ± 0.09), and ear length (EL; 0.32 ± 0.07). High genetic correlations were estimated among SST traits (> 0.78) and among T<sub>V</sub> traits (> 0.75). 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引用次数: 0

摘要

背景:基于热应激直接指标的遗传选择可以捕捉到参与热应激反应的其他机制,并能够更准确地选择更耐热的个体。因此,本研究的主要目的是估计在热应激条件下测量的长白×大型泌乳母猪商业群体中各种热应激指标的遗传参数。评估的主要指标是:皮肤表面温度(SST)、自动记录的阴道温度(TV)、呼吸率(RR)、喘息评分(PS)、身体状况评分(BCS)、头发密度(HD)、体型(BS)、耳朵大小和呼吸效率(Reff) ± 0.02至0.29 ± 0.05。SST性状的遗传力估计值较低(从0.04 ± 0.01至0.06 ± 0.01),RR(0.06 ± 0.01)、PS(0.05 0.01)和Reff(0.03 ± 0.01)。BCS的中高遗传力值估计为0.29 ± 卡尺测量值为0.04,0.25 ± 0.04用于视觉评估),HD(0.25 ± 0.05),BS(0.33 ± 0.05),耳朵面积(EA;0.40 ± 0.09)和耳朵长度(EL;0.32 ± 0.07)。SST性状之间具有较高的遗传相关性(> 0.78)和TV性状之间(> 0.75)。同样,RR与PS的遗传相关性也很高(0.87 ± 0.02),BCS测量值(0.92 ± 0.04),并且具有耳朵测量值(0.95 ± 0.03)。SST和TV之间估计出低到中等程度的正遗传相关性(从0.25 ± 0.04至0.76 ± 0.07)。TV和BCS之间的遗传相关性较低(0.01 ± 0.08至0.06 ± 0.07)。估计呼吸效率与RR呈正相关且中度相关(0.36 ± 0.04),PS(0.56 ± 0.03)和BCS(0.56 ± 卡尺测量值为0.05,0.50 ± 视觉评估为0.05)。所有其他性状组合的遗传相关性都很低。结论:对泌乳母猪各项耐热性指标的遗传力和遗传相关性进行了综合评价。所评估的所有性状都处于遗传控制和可遗传性之下,具有不同的程度,这表明所有性状都有可能取得遗传进步。遗传相关性估计为这些性状之间的复杂关系提供了证据,并证实了耐热性性状的一个子指标对提高猪耐热性的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Genetic parameters for automatically-measured vaginal temperature, respiration efficiency, and other thermotolerance indicators measured on lactating sows under heat stress conditions.

Genetic parameters for automatically-measured vaginal temperature, respiration efficiency, and other thermotolerance indicators measured on lactating sows under heat stress conditions.

Background: Genetic selection based on direct indicators of heat stress could capture additional mechanisms that are involved in heat stress response and enable more accurate selection for more heat-tolerant individuals. Therefore, the main objectives of this study were to estimate genetic parameters for various heat stress indicators in a commercial population of Landrace × Large White lactating sows measured under heat stress conditions. The main indicators evaluated were: skin surface temperatures (SST), automatically-recorded vaginal temperature (TV), respiration rate (RR), panting score (PS), body condition score (BCS), hair density (HD), body size (BS), ear size, and respiration efficiency (Reff).

Results: Traits based on TV presented moderate heritability estimates, ranging from 0.15 ± 0.02 to 0.29 ± 0.05. Low heritability estimates were found for SST traits (from 0.04 ± 0.01 to 0.06 ± 0.01), RR (0.06 ± 0.01), PS (0.05 0.01), and Reff (0.03 ± 0.01). Moderate to high heritability values were estimated for BCS (0.29 ± 0.04 for caliper measurements and 0.25 ± 0.04 for visual assessments), HD (0.25 ± 0.05), BS (0.33 ± 0.05), ear area (EA; 0.40 ± 0.09), and ear length (EL; 0.32 ± 0.07). High genetic correlations were estimated among SST traits (> 0.78) and among TV traits (> 0.75). Similarly, high genetic correlations were also estimated for RR with PS (0.87 ± 0.02), with BCS measures (0.92 ± 0.04), and with ear measures (0.95 ± 0.03). Low to moderate positive genetic correlations were estimated between SST and TV (from 0.25 ± 0.04 to 0.76 ± 0.07). Low genetic correlations were estimated between TV and BCS (from - 0.01 ± 0.08 to 0.06 ± 0.07). Respiration efficiency was estimated to be positively and moderately correlated with RR (0.36 ± 0.04), PS (0.56 ± 0.03), and BCS (0.56 ± 0.05 for caliper measurements and 0.50 ± 0.05 for the visual assessments). All other trait combinations were lowly genetically correlated.

Conclusions: A comprehensive landscape of heritabilities and genetic correlations for various thermotolerance indicators in lactating sows were estimated. All traits evaluated are under genetic control and heritable, with different magnitudes, indicating that genetic progress is possible for all of them. The genetic correlation estimates provide evidence for the complex relationships between these traits and confirm the importance of a sub-index of thermotolerance traits to improve heat tolerance in pigs.

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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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