Genomic analyses of nitrogen utilization efficiency, its indicator trait blood urea nitrogen and the relationship to classical growth performance and feed efficiency traits in a Landrace × Piétrain crossbred population

IF 1.9 3区 农林科学 Q2 AGRICULTURE, DAIRY & ANIMAL SCIENCE Journal of Animal Breeding and Genetics Pub Date : 2024-03-25 DOI:10.1111/jbg.12864
Markus Schmid, Ramona Weishaar, Jana Seifert, Amélia Camarinha-Silva, Markus Rodehutscord, Jörn Bennewitz
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Abstract

Improving the nutrient efficiency in pork production is required to reduce the resource competition between human food and animal feed regarding diet components edible for humans and to minimize emissions relevant to climate or the environment. Thereby, protein utilization efficiency and its equivalent nitrogen utilization efficiency (NUE) play a major role. Breeding for more nitrogen (N) efficient pigs bears a promising strategy to improve such traits, however, directly phenotyping NUE based on N balance data is neither cost-efficient nor straightforward and not applicable for routine evaluations. Blood urea nitrogen (BUN) levels in the pig are suitable to predict the NUE and, therefore, might be an indicator trait for NUE because BUN is a relatively easy-to-measure trait. This study investigated the suitability of NUE as a selection trait in future breeding programs. The relationships to classical growth performance and feed efficiency traits were analysed as well as the relationship to BUN to infer the role of BUN as an indicator trait to improve NUE via breeding. The analyzes were based on a Landrace F1 cross population consisting of 502 individuals who descended from 20 Piétrain sires. All animals were genotyped for 48,525 SNPs. They were phenotyped in two different fattening phases, i.e., FP1 and FP2, during the experiment. Uni- and bivariate analyses were run to estimate variance components and to determine the genetic correlation between different traits or between the same trait measured at different time points. Moderate heritabilities were estimated for all traits, whereby the heritability for NUE was h2 = 0.293 in FP1 and h2 = 0.163 in FP2 and BUN had the by far highest heritability (h2 = 0.415 in FP1 and h2 = 0.460 in FP2). The significant genetic correlation between NUE and BUN showed the potential of BUN to be considered an indicator trait for NUE. This was particularly pronounced when NUE was measured in FP1 (genetic correlations r g = 0.631 and r g = 0.688 between NUE and BUN measured in FP1 and FP2, respectively). The genetic correlations of NUE and BUN with important production traits suggest selecting pigs with high growth rates and low BUN levels to breed more efficient pigs in future breeding programs.

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氮利用效率及其指标性状血尿素氮的基因组分析,以及氮利用效率与Landrace × Piétrain杂交种群典型生长性能和饲料效率性状的关系。
提高猪肉生产中的营养效率是减少人类食物和动物饲料之间关于人类可食用食物成分的资源竞争,以及最大限度地减少与气候或环境有关的排放的必要条件。因此,蛋白质利用效率及其等效的氮利用效率(NUE)发挥着重要作用。培育氮(N)利用率更高的猪是改善此类性状的一种有前途的策略,然而,根据氮平衡数据直接对氮利用率进行表型既不符合成本效益,也不直接,不适用于常规评估。猪的血尿素氮(BUN)水平适合预测 NUE,因此可作为 NUE 的指示性状,因为 BUN 是一种相对容易测量的性状。本研究调查了 NUE 是否适合作为未来育种计划中的选择性状。研究分析了 NUE 与经典生长性能和饲料效率性状的关系,以及与 BUN 的关系,以推断 BUN 作为指标性状对通过育种改善 NUE 的作用。这些分析基于一个由 502 头来自 20 头 Piétrain 母牛的 Landrace F1 杂交种群。对所有动物进行了 48525 个 SNP 的基因分型。在实验期间,它们在两个不同的育肥阶段(即 FP1 和 FP2)进行了表型分析。通过单变量和双变量分析来估计方差成分,并确定不同性状之间或不同时间点测量的同一性状之间的遗传相关性。对所有性状都估算出了适度的遗传率,其中 NUE 的遗传率在 FP1 中为 h2 = 0.293,在 FP2 中为 h2 = 0.163,BUN 的遗传率最高(在 FP1 中为 h2 = 0.415,在 FP2 中为 h2 = 0.460)。NUE 和 BUN 之间明显的遗传相关性表明,BUN 有可能被视为 NUE 的指示性状。在 FP1 中测定 NUE 时,这一点尤为明显(在 FP1 和 FP2 中测定 NUE 和 BUN 的遗传相关性分别为 r g = - 0.631 $$ {r}_g=-0.631 $$ 和 r g = - 0.688 $$ {r}_g=-0.688$)。NUE 和 BUN 与重要生产性状的遗传相关性表明,在未来的育种计划中,选择生长速度快、BUN 水平低的猪来培育更高效的猪。
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来源期刊
Journal of Animal Breeding and Genetics
Journal of Animal Breeding and Genetics 农林科学-奶制品与动物科学
CiteScore
5.20
自引率
3.80%
发文量
58
审稿时长
12-24 weeks
期刊介绍: The Journal of Animal Breeding and Genetics publishes original articles by international scientists on genomic selection, and any other topic related to breeding programmes, selection, quantitative genetic, genomics, diversity and evolution of domestic animals. Researchers, teachers, and the animal breeding industry will find the reports of interest. Book reviews appear in many issues.
期刊最新文献
Issue Information Influence of variance component estimates on genomic predictions for growth and reproductive-related traits in Nellore cattle. Genomic selection strategies for the German Merino sheep breeding programme - A simulation study. Correction to: Rahbar et al., 2023. Defining desired genetic gains for Pacific white shrimp (Litopeneaus vannamei) breeding objectives using participatory approaches. Journal of Animal Breeding and Genetics. 2024;141:390-402. Combining genomics and semen microbiome increases the accuracy of predicting bull prolificacy.
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