Enhancing selective breeding for growth, slaughter traits and overall survival in rainbow trout (Oncorhynchus mykiss)

被引:24
|
作者
Sae-Lim, Panya [1 ]
Komen, Hans [1 ]
Kause, Antti [2 ]
Martin, Kyle E. [3 ]
Crooijmans, Richard [1 ]
van Arendonk, Johan A. M. [1 ]
Parsons, James E. [3 ]
机构
[1] Wageningen Univ, Anim Breeding & Genom Ctr, NL-6700 AH Wageningen, Netherlands
[2] MTT Agrifood Res Finland, FI-31600 Jokioinen, Finland
[3] Troutlodge Inc, Sumner, WA 98390 USA
关键词
Body weight; Condition factor; Genetic correlation; Response to selection; Thermal growth coefficient; Two-stage selection; POLYMORPHIC MICROSATELLITE MARKERS; OREOCHROMIS-NILOTICUS L; CULTURED ATLANTIC SALMON; EXPRESSED SEQUENCE TAGS; CARCASS QUALITY TRAITS; GENETIC-PARAMETERS; BODY-WEIGHT; PARENTAL ALLOCATION; WATER TEMPERATURE; 2-STAGE SELECTION;
D O I
10.1016/j.aquaculture.2012.10.031
中图分类号
S9 [水产、渔业];
学科分类号
0908 ;
摘要
Enhancing selection using two-stage selection is normally implemented by pre-selection for tagging weight (BWT) and by final selection for ungutted harvest weight (BWH) and thermal growth coefficient from tagging to harvest (TGC(TH)). However, selection on harvest traits, i.e., gutted weight (GBWH), visceral percentage (VISW%), condition factor (CFH), and overall survival (SURV), can be enhanced by exploiting correlated traits. It can be hypothesized that the efficiency of two-stage selection on genetic response in BWH and TGC(TH) is dependent on their genetic (r(g)) and phenotypic (r(p)) correlations with BWT and therefore dependent on the time point of pre-selection. The aims of this study were, first, to estimate genetic parameters (heritability: h(2), r(p), and r(g)) for BWT (7 months), BWS (weight at sorting, 9 months), BWH (14 months), TGC(TH), GBWH, VISW%, CFH, and SURV. Second, these genetic parameters were used in two deterministic simulation studies; i) one-and two-stage selections to compare genetic responses in BWH and TGC(TH), and ii) alternative selection indices using correlated traits to compare corresponding accuracy of selection (r(IH)) for slaughter traits, CFH, and SURV. Genetic parameters were estimated using an animal mixed model in ASReml on 2,041 fish records. The main results showed that, first, r(g) of BWT was 0.35 with BWH but -0.25 with TGC(TH), whereas the r(g) of BWS was 0.72 with BWH but 0.39 with TGC(TH). Pre-selection for BWS led to genetic response of 54.15 g in BWH which was higher than the genetic response from pre-selection for BWT (51.90 g). Similarly, pre-selection on BWS enhanced correlated genetic response in TGC(TH) to 0.30 g((1/3))/degrees C*day. In contrast, pre-selection for BWT resulted in lower correlated genetic response in TGC(TH) of 0.20 g(1/3)/degrees C*day. It can be concluded that genetic improvement of BWH and TGC(TH) can be enhanced by postponing pre-selection to a later age. However, an optimal time point for tagging and pre-selection should be found to minimize common environmental effects and rearing costs during communal rearing of full-sibs. Second, including GBWH in a selection index can reduce unfavourable selection responses in VISW%. The GBWH is highly genetically correlated with BWH and can be easily indirectly selected. TGC(TH) is a good predictor for selection for lower VISW%, and higher SURV, but not for higher CFH. To control genetic changes in the condition factor, it should be included to the selection index. (C) 2012 Elsevier B. V. All rights reserved.
引用
收藏
页码:89 / 96
页数:8
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