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通过生长猪回肠粗蛋白和氨基酸消化率对猪肉生产中的遗传品系进行分类

Classifying Genetic Lines in Pork Production by Ileal Crude Protein and Amino Acid Digestibility in Growing Pigs.

作者信息

Tenke János, Vida Orsolya, Nagy István, Tossenberger János

机构信息

Albert Kázmér Faculty of Mosonmagyaróvár, Széchenyi István University, Lucsony Str. 2, H-9200 Mosonmagyaróvár, Hungary.

Bonafarm Agriculture-Swine Department, Ady Endre Str. 21, H-7754 Bóly, Hungary.

出版信息

Animals (Basel). 2023 Jun 6;13(12):1898. doi: 10.3390/ani13121898.

Abstract

The first aim of the study was to evaluate the effect of different dietary lysine (LYS) to energy (DE) ratios on the apparent ileal digestibility (AID) of crude protein (CP) and selected amino acids (AA) in growing pigs (40-60 kg) of different genotypes. The second aim was to classify genotypes into groups based on the AID of CP and AAs. The trials were conducted on a total of 90 cross-bred barrows (30 animals/genotype) in two replicates. Before the trial series, the experimental animals (average initial body weight (BW) = 40.9 ± 8.5 kg) were surgically fitted with post valve T-cannula (PVTC). The diets were formulated with six different total LYS/DE ratios. Titanium dioxide (TiO) was added to the diets (5 g/kg) as an indigestible marker. Based on our results, it can be concluded that the LYS/DE ratio of the diets affected the AID of the CP and AA in different ways by each genotype ( < 0.05). It can also be concluded that pigs of different genetic potential can be classified with a high accuracy (91.7%) in respect of their CP and AA digestive capacity. Our results indicate the development of genetic-profile-based swine nutrition technologies as a future direction.

摘要

本研究的首要目的是评估不同日粮赖氨酸(LYS)与消化能(DE)比值对不同基因型生长猪(40 - 60千克)粗蛋白(CP)和选定氨基酸(AA)的回肠表观消化率(AID)的影响。第二个目的是根据CP和AA的AID将基因型分组。试验共使用90头杂交公猪(每种基因型30头),分两个重复进行。在试验系列开始前,给实验动物(平均初始体重(BW)= 40.9 ± 8.5千克)手术安装回肠末端T型套管(PVTC)。日粮按六种不同的总LYS/DE比值配制。向日粮中添加二氧化钛(TiO)(5克/千克)作为不可消化标记物。根据我们的结果,可以得出结论,日粮的LYS/DE比值对每种基因型的CP和AA的AID有不同影响(<0.05)。还可以得出结论,就CP和AA消化能力而言,不同遗传潜力的猪能够以较高的准确率(91.7%)进行分类。我们的结果表明,基于遗传特征的猪营养技术的发展是未来的一个方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79c7/10294907/a4fe00956f0c/animals-13-01898-g001.jpg

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