温湿度指数对奶牛繁殖力和产量权衡演变的影响

IF 3.6 1区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE
Aurélie Vinet, Sophie Mattalia, Roxane Vallée, Christine Bertrand, Anne Barbat, Julie Promp, Beatriz C. D. Cuyabano, Didier Boichard
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引用次数: 0

摘要

在当前气候变化的背景下,畜牧业生产在提高系统可持续性方面面临诸多挑战。尤其是奶牛养殖业,必须想方设法选择既能实现足够的总产量,又能在温度不断升高的环境中保持繁殖能力的动物。考虑到未来预测的气候条件,本研究利用荷斯坦和蒙特贝利亚德奶牛的数据进行了以下研究:(1)估计雌性繁殖力的遗传-温度-湿度指数(THI)交互作用,以及(2)评估随着温度-湿度指数值增加的生产-繁殖力权衡。对受胎率(繁殖力)和测试日蛋白质产量(产量)拟合了双性状随机回归模型。在受胎率方面,不同 THI 值之间的遗传相关性一般都在 0.75 以上,这表明两个品种的受胎率基因型与 THI 之间的相互作用较弱。然而,受胎率育种值在当前平均 THI(THI = 50,相当于 24 小时平均温度为 8 °C,相对湿度为 50%)下的遗传相关性及其在热应激情况(THI > 70)下的斜率(即潜在的重排)对每个品种来说都是不同的。对于蒙特贝利亚德牛,这种相关性趋向于正相关(即总体而言,繁殖力最好的牛受热应激的影响较小),而对于荷斯坦牛,这种相关性约为零。最后,我们的研究结果表明,产量和繁殖力之间存在微弱的拮抗作用,但对于蒙贝利亚德牛来说,这种拮抗作用会随着THI的增加而加剧。在所研究的天气条件范围内,预计温度升高不会加剧繁殖力与产量之间的权衡。然而,我们的研究结果表明,目前具有最佳繁殖生产价值的动物受气温升高的影响最大,无论是繁殖力还是产量。尽管如此,这些牲畜在热浪期间仍应是产量最高的牲畜之一。对于蒙特贝利亚德(Montbeliarde)来说,目前的繁殖力选育计划似乎足以确保繁殖力特征适应气温升高,而不会对产量产生不利影响。荷斯坦则不能得出这样的结论。未来,将耐热指数纳入奶牛育种计划将对促进选择适应未来气候条件的奶牛很有价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effect of temperature-humidity index on the evolution of trade-offs between fertility and production in dairy cattle
In the current context of climate change, livestock production faces many challenges to improve the sustainability of systems. Dairy farming, in particular, must find ways to select animals that will be able to achieve sufficient overall production while maintaining their reproductive ability in environments with increasing temperatures. With future forecasted climate conditions in mind, this study used data from Holstein and Montbeliarde dairy cattle to: (1) estimate the genetic-by-temperature-humidity index (THI) interactions for female fertility, and (2) evaluate the production-fertility trade-off with increasing values of THI. Two-trait random regression models were fitted for conception rate (fertility) and test-day protein yield (production). For fertility, genetic correlations between different THI values were generally above 0.75, suggesting weak genotype-by-THI interactions for conception rate in both breeds. However, the genetic correlations between the conception rate breeding values at the current average THI (THI = 50, corresponding to a 24-h average temperature of 8 °C at 50% relative humidity) and their slopes (i.e., potential reranking) for heat stress scenarios (THI > 70), were different for each breed. For Montbeliarde, this correlation tended to be positive (i.e., overall the best reproducers are less affected by heat stress), whereas for Holstein it was approximately zero. Finally, our results indicated a weak antagonism between production and fertility, although for Montbeliarde this antagonism intensified with increasing THI. Within the range of weather conditions studied, increasing temperatures are not expected to exacerbate the fertility-production trade-off. However, our results indicated that the animals with the best breeding values for production today will be the most affected by temperature increases, both in terms of fertility and production. Nonetheless, these animals should remain among the most productive ones during heat waves. For Montbeliarde, the current selection program for fertility seems to be adequate for ensuring the adaptation of fertility traits to temperature increases, without adverse effects on production. Such a conclusion cannot be drawn for Holstein. In the future, the incorporation of a heat tolerance index into dairy cattle breeding programs would be valuable to promote the selection of animals adapted to future climate conditions.
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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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