Quantitative genetic parameter estimates for size and growth rate traits in Pacific white shrimp,Penaeus vannamei(Boone 1931) when reared indoors

Abstract

Heritabilities of size traits and growth rate traits, as well as genetic, phenotypic and environmental correlations were estimated at three ages for a captive population of Pacific white shrimp (Penaeus vannamei) grown indoors. A covariate, mean size or mean growth rate during early growth in individual tanks before tagging and mixing, was introduced in the analyses to reduce the error caused by unique previous growth conditions on variance components. Heritabilities of size traits increased with age, with the h2 for TL, AL, TWt and Wi1AS being 0.15, 0.20, 0.20 and 0.22, respectively, at 17 weeks, increasing to 0.28, 0.33, 0.34 and 0.35 at 29 weeks of age. Heritabilities of growth rate traits estimated between consecutive growth periods decreased from the first (h2 for ΔTL 0.65, ΔAL 0.71, ΔTWt 0.63 and ΔWi1AS 0.84) to the second period (h2 for ΔTL 0.34, ΔAL 0.50, ΔTWt 0.54 and ΔWi1AS 0.52). Phenotypic correlations were always larger than genetic correlations for both, size and growth rate traits. Genetic correlations between size traits within age were high (rG >0.95), but those between the same size trait at different ages decreased as the age difference increased in spite of a consistently high environmental correlation (rE 0.80–0.85) between the same trait at different ages. Phenotypic and genetic correlation's between the same growth rate trait at the two different growth periods evaluated were negative or zero (rG TL –0.26, AL –0.24, Wi1AS 0.00) with the exception of total weight (rG TW 0.35) and the environmental correlations between growth periods were also low (rE 0.13–0.32).

Advances in Domestication and Culture Techniques for Crayfish Procambarus acanthophorus

“…Estimates of heritability (combined males and females) in F1 at the end of the trial was similar for both lines (0.27 ± 0.11 and 0.34 ± 0.12, LC and LS, respectively), coinciding with results obtained by Pérez-Rostro & Ibarra (2003) in white shrimp Litopenaeus vannamei, where values of 0.20 were obtained at 17 weeks of culture as well and those of Cameron et al (2004) in the red claw crayfish C. quadricarinatus, where a decrease in the value of heritability of 0.38 for the first year to 0.13 after 4 years.…”

“…Estimates of heritability (h 2 ) ± E.S in F1 at the different ages (months), in selection line (LS) and control line (LC) with a value of 1.1 reducing the third month (0.27) have to rise again in the fourth month (0.58). Due to the differential survival and in order to reduce the effect of common environment which is reported in previous studies with crustaceans (Benzie et al, 1997;Hetzel et al, 2000;Pérez-Rostro & Ibarra, 2003), the density of families in the third month were standardized, leaving 11 organisms per family in F1.…”

Optimization of selective breeding through analysis of morphological traits in Chinese sea bass (Lateolabrax maculatus)

“…However, due to the effects of genetic linkage, pleiotropy and environmental factors (Toro and Newkirk, 1990;Li et al, 2006;, it has proven difficult to achieve satisfactory results in the selection programs when only taking body weight into account. However, body weight has been found to be highly correlated with many other morphological traits (Pérez-Rostro and Ibarra, 2003). In the present study, abundant variation was found in the 21 morphological traits of L. maculatus.…”

“…These methods include correlation analysis, path analysis, and regression analysis. To date, studies of phenotypic and genetic relationships among growth-related traits have been performed in many fish species, including Oncorhynchus mykiss (Kause et al, 2002), Scophthalmus maximus (Wang et al, 2010), Pangasianodon hypophthalmus (Sang et al, 2009), Paralichthys olivaceus (Tian et al, 2011), Penaeus vannamei (Pérez-Rostro and Ibarra, 2003), and Salmo salar (Haffray et al, 2012). For example, nine morphological traits (total length, head length, snout length, body width, head width, interorbital distance, body depth, head depth, and body weight) from juvenile Polyodon spathula were measured, among which total length was the most predominant variable to affect body weight (Yuan et al, 2012).…”

“…Given the fact that body weight of farmed species has been found to be highly correlated with various morphological traits (Pérez-Rostro and Ibarra, 2003;Trong et al, 2013), many statistical methods had been employed to develop a selection index. This has been done by exploring the relationships among particular morphological traits and estimating the contribution of each morphological trait on the trait of interest, in this case body weight.…”