Genetic parameters for novel climatic resilience indicators derived from automatically-recorded vaginal temperature in lactating sows under heat stress conditions

IF 3.6 1区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE
Hui Wen, Jay S. Johnson, Leonardo S. Gloria, Andre C. Araujo, Jacob M. Maskal, Sharlene Olivette Hartman, Felipe E. de Carvalho, Artur Oliveira Rocha, Yijian Huang, Francesco Tiezzi, Christian Maltecca, Allan P. Schinckel, Luiz F. Brito
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Abstract

Longitudinal records of automatically-recorded vaginal temperature (TV) could be a key source of data for deriving novel indicators of climatic resilience (CR) for breeding more resilient pigs, especially during lactation when sows are at an increased risk of suffering from heat stress (HS). Therefore, we derived 15 CR indicators based on the variability in TV in lactating sows and estimated their genetic parameters. We also investigated their genetic relationship with sows’ key reproductive traits. The heritability estimates of the CR traits ranged from 0.000 ± 0.000 for slope for decreased rate of TV (SlopeDe) to 0.291 ± 0.047 for sum of TV values below the HS threshold (HSUB). Moderate to high genetic correlations (from 0.508 ± 0.056 to 0.998 ± 0.137) and Spearman rank correlations (from 0.431 to 1.000) between genomic estimated breeding values (GEBV) were observed for five CR indicators, i.e. HS duration (HSD), the normalized median multiplied by normalized variance (Nor_medvar), the highest TV value of each measurement day for each individual (MaxTv), and the sum of the TV values above (HSUA) and below (HSUB) the HS threshold. These five CR indicators were lowly to moderately genetically correlated with shoulder skin surface temperature (from 0.139 ± 0.008 to 0.478 ± 0.048) and respiration rate (from 0.079 ± 0.011 to 0.502 ± 0.098). The genetic correlations between these five selected CR indicators and sow reproductive performance traits ranged from − 0.733 to − 0.175 for total number of piglets born alive, from − 0.733 to − 0.175 for total number of piglets born, and from − 0.434 to − 0.169 for number of pigs weaned. The individuals with the highest GEBV (most climate-sensitive) had higher mean skin surface temperature, respiration rate (RR), panting score (PS), and hair density, but had lower mean body condition scores compared to those with the lowest GEBV (most climate-resilient). Most of the CR indicators evaluated are heritable with substantial additive genetic variance. Five of them, i.e. HSD, MaxTv, HSUA, HSUB, and Nor_medvar share similar underlying genetic mechanisms. In addition, individuals with higher CR indicators are more likely to exhibit better HS-related physiological responses, higher body condition scores, and improved reproductive performance under hot conditions. These findings highlight the potential benefits of genetically selecting more heat-tolerant individuals based on CR indicators.
根据热应激条件下自动记录的哺乳母猪阴道温度得出的新型气候适应性指标的遗传参数
自动记录的阴道温度(TV)的纵向记录可以作为一个关键的数据来源,用于推导出新的气候适应性(CR)指标,从而培育出更有适应性的猪,尤其是在母猪遭受热应激(HS)风险增加的哺乳期。因此,我们根据泌乳母猪TV的变异性得出了15个CR指标,并估算了它们的遗传参数。我们还研究了它们与母猪主要繁殖性状的遗传关系。CR性状的遗传率估计值从TV下降率斜率(SlopeDe)的0.000 ± 0.000到低于HS阈值的TV值总和(HSUB)的0.291 ± 0.047不等。基因组估计育种值(GEBV)与五项 CR 指标之间存在中高遗传相关性(从 0.508 ± 0.056 到 0.998 ± 0.137)和 Spearman 等级相关性(从 0.431 到 1.000),这五项指标分别是HS持续时间(HSD)、归一化中位数乘以归一化方差(Nor_medvar)、每个个体每个测量日的最高TV值(MaxTv)以及高于(HSUA)和低于(HSUB)HS阈值的TV值之和。这五个 CR 指标与肩部皮肤表面温度(从 0.139 ± 0.008 到 0.478 ± 0.048)和呼吸速率(从 0.079 ± 0.011 到 0.502 ± 0.098)的遗传相关性从低到中度不等。这五个选定的 CR 指标与母猪繁殖性能性状之间的遗传相关性范围分别为:活产仔猪总数从 - 0.733 到 - 0.175,出生仔猪总数从 - 0.733 到 - 0.175,断奶猪数从 - 0.434 到 - 0.169。与 GEBV 最低的个体(气候敏感性最强)相比,GEBV 最高的个体(气候敏感性最强)的平均皮肤表面温度、呼吸速率(RR)、喘气评分(PS)和毛发密度较高,但平均体况评分较低。所评估的大多数 CR 指标都具有很大的遗传加性方差。其中五个指标,即 HSD、MaxTv、HSUA、HSUB 和 Nor_medvar 具有相似的潜在遗传机制。此外,在高温条件下,CR 指标较高的个体更有可能表现出更好的 HS 相关生理反应、更高的体况评分和更高的繁殖性能。这些发现凸显了根据CR指标从基因上选择更耐热个体的潜在益处。
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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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