Kava Rafaela, Peripolli Elisa, Brunes Ludmilla C, Espigolan Rafael, Mendes Egleu D M, da Silva Neto João Barbosa, Londoño-Gil Marisol, Sainz Roberto D, Lobo Raysildo B, Baldi Fernando
Department of Animal Science, São Paulo State University -Júlio de Mesquita Filho (UNESP), Prof. Paulo Donato Castelane, Jaboticabal, Brazil.
Department of Veterinary Medicine, Faculty of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga, Brazil.
J Anim Breed Genet. 2023 May;140(3):264-275. doi: 10.1111/jbg.12756. Epub 2023 Jan 12.
The objective of this study was to obtain (co)variance components, heritability, and genetic and phenotypic correlation estimates for feed efficiency and feed behaviour-related indicator traits. Further, it aimed to predict the direct and correlated responses for feed efficiency traits when selection was applied for feeding behaviour-related traits in Nelore cattle. Phenotypic records (n = 4840) from 125 feed efficiency tests (RFI: Residual feed intake and DMI: Dry matter intake) carried out between 2011 and 2018 were considered in this study. Animals belonged to five farms located in two Brazilian geographical regions (Midwest and Southeast). Animals under similar management and environmental conditions in the feedlot were evaluated when they attained an average of 13.5 ± 4.15 months of age. Feed behaviour-related traits were also obtained, including meal criteria (MC), meal frequency (MF), average meal duration (AMD), meal duration (MD), average consumption per meal (ACM), and consumption rate (CR) through the GrowSafe System® electronic bunk system. The contemporary groups for all traits were composed of farm, management group, feed efficiency test, sex, and birth year. The (co)variance components were estimated using the restricted maximum likelihood method considering a multi-trait (n = 8) animal model. The heritability estimates for RFI (0.23 ± 0.02), DMI (0.31 ± 0.02), MF (0.65 ± 0.02), AMD (0.29 ± 0.02), ACM (0.24 ± 0.02), MD (0.41 ± 0.02), MC (0.48 ± 0.02), and CR (0.42 ± 0.02) were moderate to high. The highest genetic correlation was obtained between CR and MD (-0.91 ± 0.04), MD and AMD (0.73 ± 0.03), CR and AMD (-0.68 ± 0.04), and RFI and DMI (0.81 ± 0.02). The highest phenotypic correlation was between ACM and AMD (0.76 ± 0.02), DMI and MD (0.77 ± 0.02), and DMI and RFI (0.77 ± 0.02). Genetic improvement for feed efficiency and feeding behaviour-related traits is feasible and the results obtained herein provided valuable information regarding the genetic background of Nelore feeding behaviour-related traits. The genetic association between feeding behaviour and feed efficiency-related traits suggested that animals spending less time feeding at a low feeding rate also had lower DMI and higher feed efficiency (RFI), and likely had lower energy maintenance requirements. The relative efficiency of selection showed that feeding behaviour-related traits were not adequate indicator traits to improve RFI and DMI. The DMI might be an effective selection criterion to improve RFI and reduce the herd's maintenance requirements.
本研究的目的是获得饲料效率及与采食行为相关指标性状的(协)方差组分、遗传力以及遗传和表型相关性估计值。此外,其旨在预测在对内洛尔牛的采食行为相关性状进行选择时,饲料效率性状的直接和相关反应。本研究考虑了2011年至2018年间进行的125次饲料效率测试(RFI:剩余采食量和DMI:干物质采食量)的表型记录(n = 4840)。动物来自巴西两个地理区域(中西部和东南部)的五个农场。当育肥牛场中处于相似管理和环境条件下的动物平均年龄达到13.5±4.15月龄时,对其进行评估。还通过GrowSafe System®电子饲喂槽系统获得了与采食行为相关的性状,包括采食标准(MC)、采食频率(MF)、平均每餐持续时间(AMD)、每餐持续时间(MD)、每餐平均采食量(ACM)和采食速率(CR)。所有性状的当代组由农场、管理组、饲料效率测试、性别和出生年份组成。使用考虑多性状(n = 8)动物模型的限制最大似然法估计(协)方差组分。RFI(0.23±0.02)、DMI(0.31±0.02)、MF(0.65±0.02)、AMD(0.29±0.02)、ACM(0.24±0.02)、MD(0.41±0.02)、MC(0.48±0.02)和CR(0.42±0.02)的遗传力估计值为中度至高。CR与MD(-0.91±0.04)、MD与AMD(0.73±0.03)、CR与AMD(-0.68±0.04)以及RFI与DMI(0.81±0.02)之间的遗传相关性最高。ACM与AMD(0.76±0.02)、DMI与MD(0.77±0.02)以及DMI与RFI(0.77±0.02)之间的表型相关性最高。对饲料效率和与采食行为相关性状的遗传改良是可行的,本文获得的结果提供了关于内洛尔采食行为相关性状遗传背景的有价值信息。采食行为与饲料效率相关性状之间的遗传关联表明,以低采食速率采食时间较短的动物DMI也较低,饲料效率(RFI)较高,并且可能能量维持需求较低。选择的相对效率表明,与采食行为相关的性状不是改善RFI和DMI的合适指标性状。DMI可能是改善RFI和降低牛群维持需求的有效选择标准