Zaitsev Sergei Yu, Voronina Oksana A, Kolesnik Nikita S, Savina Anastasia A, Zelenchenkova Aloyna A
Federal Research Center for Animal Husbandry Named after Academy Member L.K. Ernst, Dubrovitsy 60, 142132 Podolsk, Moscow Region, Russia.
Animals (Basel). 2024 Oct 17;14(20):3002. doi: 10.3390/ani14203002.
In modern animal husbandry, increasing attention is given to mathematical modeling and statistical methods, especially for evaluating commercial hybrids. Our aim was to evaluate the phenotypic and genetic variability of biochemical parameters of blood serum of the 56 hybrid boars (Large White × Landrace × Duroc) raised in feeding stations (Russia) through mathematical modeling. The particular variances and covariances of traits were calculated using the limited maximum likelihood model and the REMLF90 programs. A narrow range of variability was found for major biochemical parameters in relationship with the "FFG-factor" ("fattening period × final live weight × gain"), including the majority of the metabolites ( ≤ 0.05). The highest values of the genetic correlations were observed for the "total protein" parameter with albumins (0.78), globulins (0.94), creatinine (0.99), and enzymes: AST (0.98), ALT (0.80), etc. Phenotypic and genetic relationships showed fairly high correlation coefficients (0.5-0.8). It is important to emphasize that most of the studied amino acids (alanine, arginine, aspartic acid and asparagine, glutamic acid and glutamine, glycine, isoleucine, leucine, serine, threonine, tyrosine, valine) were significantly associated with the "FFG-factor" ( ≤ 0.05). The proposed approach provides reliable data on metabolite variability and correlations.
在现代畜牧业中，人们越来越关注数学建模和统计方法，尤其是在评估商业杂交品种方面。我们的目的是通过数学建模来评估在俄罗斯饲养场饲养的56头杂交公猪（大白猪×长白猪×杜洛克猪）血清生化参数的表型和遗传变异性。使用有限最大似然模型和REMLF90程序计算性状的特定方差和协方差。发现与“FFG因子”（“育肥期×最终活重×增重”）相关的主要生化参数的变异性范围较窄，包括大多数代谢物（≤0.05）。观察到“总蛋白”参数与白蛋白（0.78）、球蛋白（0.94）、肌酐（0.99）以及酶（天冬氨酸转氨酶（AST，0.98）、丙氨酸转氨酶（ALT，0.80）等）的遗传相关性最高。表型和遗传关系显示出相当高的相关系数（0.5 - 0.8）。需要强调的是，大多数研究的氨基酸（丙氨酸、精氨酸、天冬氨酸和天冬酰胺、谷氨酸和谷氨酰胺、甘氨酸、异亮氨酸、亮氨酸、丝氨酸、苏氨酸、酪氨酸、缬氨酸）与“FFG因子”显著相关（≤0.05）。所提出的方法提供了关于代谢物变异性和相关性的可靠数据。
