Genetic Perspectives on Feed Event, Meal and Feed Efficiency Traits in Bos taurus indicus Beef Cattle.

IF 1.9 3区 农林科学 Q2 AGRICULTURE, DAIRY & ANIMAL SCIENCE
Júlia de Paula Soares Valente, Lúcio Flávio Macedo Mota, Gustavo Roberto Dias Rodrigues, Matheus Deniz, Jessica Moraes Malheiros, Roberta Carrilho Canesin, Laila Talarico Dias, João Henrique Cardoso Costa, Maria Eugênia Zerlotti Mercadante
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Abstract

Electronic feeders record feeding behaviour as feed events by tracking the animal's in-out visits to the feeder. Another way to measure feeding behaviour is based on meals. However, the two approaches provide different outcomes. The objectives of this study were to estimate genetic parameters (heritabilities and genetic and phenotypic correlations) for feed event and meal traits, and their genetic and phenotypic correlations with feed efficiency traits in Nellore cattle. The present study analysed six feed event traits (DMIFE: dry matter intake per feed event, FED: feed event duration, TBFE: time between feed events, FTd: feeding time per day, FEd: feed events per day, and FR: feeding rate), six meal traits (DMIME: DMI per meal, MED: meal duration, TBME: time between meals, MC: meal criterion, MTd: meal time per day, and MEd: meals per day), and three feed efficiency traits (ADG: average daily gain, DMI, and RFI: residual feed intake). The traits were measured in feed efficiency tests of Nellore cattle (age = 280 ± 41 days and body weight = 258 ± 47 kg at enrolment). The MC was calculated for each animal and ranged from 1.70 to 64.0 min, i.e., any pair of feed events separated by less than the MC value was considered part of the same meal. The heritabilities and correlations were estimated by fitting univariate and bivariate animal models, respectively, using single-step genomic BLUP. The highest heritabilities for feed event traits were 0.35 ± 0.06 (FED), 0.39 ± 0.06 (FTd), and 0.50 ± 0.05 (FTd), and for meal traits were 0.31 ± 0.06 (MED) and 0.45 ± 0.06 (MTd). The genetic correlation between feed event traits and meal traits were weak. FR, FED, and FTd had moderate genetic correlations with RFI (-0.56 ± 0.11, 0.44 ± 0.11, 0.60 ± 0.08, respectively). These results indicate that more efficient animals spent less time at the feeder per feed event and per day, and eat faster compared to less efficient animals. In conclusion, feed event and meal traits must be treated as distinct groups of traits since the genetic and phenotypic correlations were, in general, weak to moderate. Among feed event versus meal traits, feed event traits are more favourable to explain the genetic relationships of feeding behaviour with feed efficiency-related traits.

肉牛饲料事件、饲料量和饲料效率性状的遗传学视角。
电子喂食器通过跟踪动物进出喂食器的次数,将喂食行为记录为喂食事件。另一种测量采食行为的方法是以进食为基础。然而,这两种方法提供了不同的结果。本研究的目的是估算内洛尔牛采食事件和采食特征的遗传参数(遗传率、遗传和表型相关性)及其与饲料效率特征的遗传和表型相关性。本研究分析了六个饲喂事件性状(DMIFE:每次饲喂的干物质摄入量;FED:饲喂事件持续时间;TBFE:两次饲喂之间的时间;FTd:每天的饲喂时间;FEd:每天的饲喂事件;FR:饲喂率)、六个膳食性状(DMIME:MED:进食持续时间;TBME:进食间隔时间;MC:进食标准;MTd:每天进食时间;MEd:每天进食次数),以及三个饲料效率性状(ADG:平均日增重;DMI;RFI:剩余饲料摄入量)。这些性状是在内洛尔牛(入学时年龄 = 280 ± 41 天,体重 = 258 ± 47 千克)的饲料效率试验中测定的。每头牛的 MC 值从 1.70 分到 64.0 分不等,也就是说,任何一对间隔小于 MC 值的采食事件都被视为同一餐的一部分。使用单步基因组 BLUP 分别通过拟合单变量和双变量动物模型估算遗传力和相关性。饲料事件性状的遗传率最高,分别为 0.35 ± 0.06(FED)、0.39 ± 0.06(FTd)和 0.50 ± 0.05(FTd);餐料性状的遗传率最高,分别为 0.31 ± 0.06(MED)和 0.45 ± 0.06(MTd)。饲料事件性状与饲料性状之间的遗传相关性较弱。FR、FED 和 FTd 与 RFI 有中等程度的遗传相关性(分别为 -0.56 ± 0.11、0.44 ± 0.11 和 0.60 ± 0.08)。这些结果表明,与效率较低的动物相比,效率较高的动物每次和每天在饲喂器上花费的时间较少,进食速度较快。总之,由于遗传和表型之间的相关性一般为弱至中等,因此必须将饲喂事件性状和进食性状视为不同的性状组。在采食量与采食量性状之间,采食量性状更有利于解释采食行为与饲料效率相关性状之间的遗传关系。
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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.
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