Tavernier E, Gormley I C, Delaby L, Berry D P
School of Mathematics and Statistics, University College Dublin, Dublin, Ireland; Department of Animal Bioscience, Animal and Grassland Research and Innovation Centre, Teagasc, Moorepark, Fermoy, Co. Cork, Ireland.
School of Mathematics and Statistics, University College Dublin, Dublin, Ireland.
J Dairy Sci. 2025 Aug 14. doi: 10.3168/jds.2025-26732.
Societal and economic pressure to reduce nitrogen use in the dairy cow sector is increasing. One potential contributing solution is to breed more nitrogen-efficient dairy cows that excrete less nitrogen. Although genetic variability for nitrogen utilization has been documented in dairy cows, how the phenotypic variance is partitioned into its causal components across lactation has not been previously explored in dairy cows. The objective, therefore, of the present study was to use 4,600 nitrogen utilization phenotypes across 2,255 lactations from 1,296 grazing dairy cows to explore whether the genetic variation in nitrogen utilization changes throughout lactation. Nitrogen utilization in the present study was evaluated using 2 metrics: nitrogen use efficiency (NUE), the ratio of nitrogen used and stored relative to the nitrogen available, and nitrogen balance (Nbal), calculated as nitrogen available minus the nitrogen used and stored. A random regression model was used to explore the variability of each studied trait over the lactation as well as the within-trait covariances across the lactation. The genetic variability in both NUE and Nbal did indeed change throughout lactation. The genetic SD of NUE decreased rapidly from 0.018 (SE = 0.003) at 6 DIM to 0.007 (SE = 0.001) at 82 DIM, then remained relatively constant until 191 DIM before increasing thereafter to 0.016 (SE = 0.002) at 268 DIM. Mirroring the change in the genetic variability across the lactation, the heritability of NUE decreased from 0.35 (SE = 0.09) at 6 DIM to 0.07 (SE = 0.03) at 80 DIM, before it increased up to 0.48 (SE = 0.10) by the end of the lactation. The genetic SD of Nbal increased from 11.87 (SE = 0.05) g/d of N at 6 DIM to 29.92 (SE = 3.61) g/d of N at 268 DIM, which was reflected in a gradual increase in heritability from 0.05 (SE = 0.04) at 6 DIM to 0.23 (SE = 0.05) at 268 DIM. Moreover, the within-trait genetic correlations between different DIM for NUE ranged from strongly positive to -0.25 (SE = 0.16), which was between 6 and 148 DIM. The within-trait genetic correlations for Nbal between different DIM were all strongly positive, with the weakest value being 0.61 (SE = 0.19), which was between 6 and 268 DIM. This profile in genetic correlations, combined with the sign of the eigenfunctions of the genetic covariance matrix for both nitrogen efficiency traits across lactation, suggest a greater potential to modify the shape of the lactation profile for NUE through genetic selection compared with Nbal. Nevertheless, there is still a good opportunity to genetically modify the height of the Nbal profile throughout lactation. Finally, given the limited evidence of a nonzero genetic correlation between NUE and Nbal, should both traits be deemed important, then both should be considered in a breeding objective to improve the nitrogen utilization metrics of dairy cows.
奶牛养殖行业减少氮使用量的社会和经济压力日益增大。一种可能的解决方案是培育氮利用效率更高、氮排泄量更少的奶牛。虽然已证明奶牛在氮利用方面存在遗传变异,但此前尚未探讨过在整个泌乳期表型变异如何分解为其因果成分。因此,本研究的目的是利用来自1296头放牧奶牛的2255次泌乳期的4600个氮利用表型,探讨氮利用的遗传变异在整个泌乳期是否发生变化。本研究使用两个指标评估氮利用情况:氮利用效率(NUE),即氮的利用和储存量与可利用氮量的比率;以及氮平衡(Nbal),计算方法为可利用氮量减去氮的利用和储存量。使用随机回归模型来探讨每个研究性状在泌乳期的变异性以及整个泌乳期内性状间的协方差。NUE和Nbal的遗传变异在整个泌乳期确实发生了变化。NUE的遗传标准差从产犊后6天的0.018(标准误 = 0.003)迅速降至82天的0.007(标准误 = 0.001),然后在191天之前保持相对稳定,此后在268天增加至0.016(标准误 = 0.002)。与泌乳期遗传变异的变化情况相似,NUE的遗传力从产犊后6天的0.35(标准误 = 0.09)降至80天的0.07(标准误 = 0.03),到泌乳期末增加至0.48(标准误 = 0.10)。Nbal的遗传标准差从产犊后6天的11.87(标准误 = 0.05)克氮/天增加至268天的29.92(标准误 = 3.61)克氮/天,这反映在遗传力从产犊后6天的0.05(标准误 = 0.04)逐渐增加至268天的0.23(标准误 = 0.05)。此外,NUE在不同产犊后天数之间的性状内遗传相关性从强正相关到 -0.25(标准误 = 0.16)不等,这一范围是在产犊后6天至148天之间。Nbal在不同产犊后天数之间的性状内遗传相关性均为强正相关,最弱的值为0.61(标准误 = 0.19),这一范围是在产犊后6天至268天之间。这种遗传相关性模式,结合整个泌乳期两个氮效率性状的遗传协方差矩阵特征函数的符号,表明与Nbal相比,通过遗传选择改变NUE泌乳曲线形状的潜力更大。然而,在整个泌乳期通过基因改造Nbal曲线高度仍有很大机会。最后,鉴于NUE和Nbal之间非零遗传相关性的证据有限,如果认为这两个性状都很重要,那么在育种目标中都应予以考虑,以提高奶牛的氮利用指标。