凡纳滨对虾低鱼粉低蛋白饲料利用效率相关性状的遗传评估

Genetic assessment of feed-efficiency-related traits for the Pacific whiteleg shrimp (Litopenaeus vannamei) in a low-fishmeal and low-protein diet environment

  • 摘要:
    目的 查清凡纳滨对虾低鱼粉低蛋白饲料利用效率性状是否具有足够的遗传变异。
    方法 采用剩余采食量和饲料效率比作为饲料利用效率指标,选择45个家系共计900尾凡纳滨对虾在低鱼粉(5%)低蛋白(35%)饲料饲喂条件下进行42 d的单尾饲养实验,测定个体饲料利用效率相关性状,并对其进行遗传评估。
    结果 低鱼粉低蛋白饲料下的对虾个体的剩余采食量范围在–0.09~0.03 g,饲料效率比范围在15.39%~78.17%,平均日增重范围在0.03~0.15 g/d。在未剖分出共同环境效应前提下,低鱼粉低蛋白饲料下剩余采食量和饲料效率比的遗传力为0.3~0.4,平均日增重和平均日摄食量的遗传力约为0.47,都属于高等遗传力。剩余采食量与饲料效率比和平均日增重的遗传相关分别为0.179±0.212和0.333±0.193,与0无显著性差异,饲料效率比与平均日增重间呈极强的正遗传相关(0.936±0.027)。
    结论 考虑到因未剖分出共同环境效应,尽管凡纳滨对虾在低鱼粉低蛋白饲料下的剩余采食量、饲料效率比以及平均日增重的遗传力存在一定程度的高估,但仍表明在低鱼粉低蛋白饲料下开展饲料利用效率和生长选育是可行的。考虑到性状间的遗传相关,在选择生长性状的同时,可以通过直接选择剩余采食量来提高凡纳滨对虾的低鱼粉低蛋白饲料利用效率,此外,通过选择生长性状可以间接提高饲料效率比。本研究估计的饲料利用效率和生长性状的遗传参数为下一步开展适应低鱼粉低蛋白饲料的凡纳滨对虾选育提供了理论指导。

     

    Abstract: This study selected feed efficiency ratio (FER) and residual feed intake (RFI) as indicators of feed utilisation efficiency, and assessed their genetic parameters in Litopenaeus vannamei fed a diet containing 5% fishmeal and 35% protein. A total of 45 families were selected for a 42-day feeding trial. A total of 900 shrimp (20 animals per family) were held in individuals. Feed intake and body weight of all the individuals were collected to calculate FER and RFI. The variance components for these traits were estimated using a univariate animal model and average information restricted maximum likelihood method, and genetic (phenotypic) correlations between traits were estimated by bivariate analysis. The study found that the individual RFI under the low-fishmeal and low-protein diet ranged from –0.09 to 0.03 g/d. The individual FER ranged from 15.39% to 78.17%, with an average of 38.08%. The individual average daily feed intake (DFI) was between 0.16 and 0.28 g/d and the individual average daily gain (ADG) was between 0.03 and 0.15 g/d. The family RFI ranged from –0.029 to 0.015 g/d, with considerable variation among families. The family FER ranged from 56.57% to 71.23%, with more minor differences. Without partitioning the common environmental effects, the heritability estimates of RFI and FER were between 0.3 and 0.4, and those of ADG and DFI were around 0.47. The genetic correlations of RFI with FER and ADG were 0.179±0.212 and 0.333±0.193, respectively, showing weak positive correlations, which were not significantly different from zero (P > 0.05). The genetic correlation between RFI and DFI was highly positive (0.772±0.084). The genetic correlation (0.936±0.027) between FER and ADG was extremely strong, and that (0.545±0.157) between FER and DFI was moderate. There was also a high positive genetic correlation between ADG and DFI (0.705±0.111). The phenotypic correlation between RFI and ADG was close to zero, and that (–0.220±0.049) between FER and RFI was weak. Considering the potential overestimation of heritability due to not partitioning common environmental effects, RFI, FER and ADG still exhibited some genetic variation. This suggests that breeding for feed utilisation efficiency and growth in L. vannamei under the low-fishmeal and low-protein diets is feasible. Given the genetic correlations among traits, selecting for growth traits while directly selecting for RFI could enhance the feed utilization efficiency of L. vannamei on low-fishmeal and low-protein diets. Additionally, selecting for growth traits can indirectly improve FER.

     

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