Genetic analysis of disease resilience in wean-to-finish pigs from a natural disease challenge model

被引:30
|
作者
Cheng, Jian [1 ]
Putz, Austin M. [1 ,2 ]
Harding, John C. S. [3 ]
Dyck, Michael K. [4 ]
Fortin, Frederic [5 ]
Plastow, Graham S. [4 ]
Canada, PigGen [6 ]
Dekkers, Jack C. M. [1 ]
机构
[1] Iowa State Univ, Dept Anim Sci, Ames, IA 50011 USA
[2] Hendrix Genet, Swine Business Unit, NL-5831 CK Boxmeer, Netherlands
[3] Univ Saskatchewan, Dept Large Anim Clin Sci, Saskatoon, SK S7N 5A2, Canada
[4] Univ Alberta, Dept Agr Food & Nutr Sci, Edmonton, AB T6G 2R3, Canada
[5] Ctr Dev Porc Quebec Inc, Quebec City, PQ G1V 4M6, Canada
[6] PigGen Canada Ind Consortium, Guelph, ON N1H 4G8, Canada
基金
美国食品与农业研究所;
关键词
disease resilience; genetic parameters; natural disease challenge; pigs; RESIDUAL FEED-INTAKE; EXPERIMENTAL-INFECTION; GROWTH-PERFORMANCE; HOST RESPONSE; DAIRY-COWS; BEHAVIOR; PARAMETERS; TRAITS; RESISTANCE; EFFICIENCY;
D O I
10.1093/jas/skaa244
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
The objective was to estimate the genetic parameters of performance and resilience of growing pigs under disease. Data were from 3,139 Yorkshire x Landrace wean-to-finish pigs that were exposed to a natural polymicrobial disease challenge that was established by entering naturally infected animals into a nursery barn, targeting various viral and bacterial diseases. The challenge was maintained by entering batches of 60 or 75 healthy nursery pigs every 3 wk in a continuous flow system. Traits analyzed included average daily gain (ADG), feed intake (ADFI) and duration (ADFD); feed conversion ratio (FCR); residual feed intake (RFI); mortality (MOR); number of health treatments (TRT); health scores (HScore); carcass weight (CWT), back fat (CBF) and loin depth (CLD); dressing percentage (DRS); lean yield (LYLD); day-to-day variation in feed intake and duration (VAR FI and VAR DUR); and the proportion of off-feed days (OFF FI and OFF DUR). Analyses were performed by mixed linear models with genomic relationships. The resilience traits, such as TRT, MOR, and HScore, were lowly heritable (up to 0.15) but had high genetic correlations with each other. Performance traits, such as ADG, ADFI, ADFD, FCR, RFI, and carcass traits, were moderate to highly heritable (0.17 to 0.49). Heritabilities of resilience indicator traits such as OFF and VAR had low to moderate heritabilities (0.08 to 0.23) but were higher when based on duration vs. amount. ADFI had a low genetic correlation with ADFD (0.13). ADG in the challenge nursery had stronger negative genetic correlations with both TRT and MOR than ADG in the finisher (-0.37 to -0.74 vs. -0.15 to -0.56). ADFI and FCR had moderate negative (-0.21 to -0.39) and positive (0.34 to 0.49) genetic correlations, respectively, with TRT and MOR. ADFD and RFI had very low genetic correlations with TRT and MOR. CWT and DRS were moderately negatively correlated with TRT and MOR (-0.33 to -0.59). Resilience indicator traits based on feed intake or duration had moderate to high positive genetic correlations with TRT (0.18 to 0.81) and MOR (0.33 to 0.87). In conclusion, performance and resilience traits under a polymicrobial disease challenge are heritable and can be changed by selection. Phenotypes extracted from feed intake patterns can be used as genetic indicator traits for disease resilience. Most promising is day-to-day variation in intake duration, which had a sizeable heritability (0.23) and favorable genetic correlations with MOR (0.79) and treatment rate (0.20).
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