海蜇幼蜇生长性状的遗传力估计及相关性分析

doi:10.16378/j.cnki.1003-1111.21154

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Abstract China is the only one country for farming of edible jellyfish Rhopilema esculentum. With the expansion and intensification of the jellyfish, various questions such as diseases, poor quality of larvae and less natural resources, have occurred and been serious, causing economic losses. At last, these questions are resolved by provided excellent breeds provided by using the selecting breeding program. It is an important way of selecting breeding. In this study, the phenotypic values of growth traits including body weight and umbrella diameter were measured in 700 individuals (300 days old) of edible jellyfish from 14 full-sib families to estimate the heritability and correlativity of growth traits. The results showed that the heritability of 300 days old individuals was 0.843±0.198 in body weight, and 0.426±0.098 in umbrella diameter, the heritability of these two traits being within higher heritability. In the 300 days old jellyfish, the genetic correlation and phenotypic correlation between body weight and umbrella diameter were 0.962±0.022 and 0.911±0.018 respectively, and both with highly positive genetic correlations. The regression analysis of phenotypic values of growth traits including body weight and umbrella diameter from 700 samples of 300 days old jellyfish revealed the mathematical model of growth traits [body weight (y) and umbrella diameter (x)]: y = 0.1624x^2.7291(r²=0.8815). The findings provide guidance to the indirect selection and pre-selection in selective breeding of the jellyfish R. esculentum.

Key words： Rhopilema esculentum juvenile jellyfish heritability genetic correlation umbrella diameter body weight

Received: 10 August 2021

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	Articles by authors
	LI Yulong
	ZHANG Weijie
	TIAN Meilin
	SUN Wei
	CHEN Bailing
	ZHANG Chenyu
	ZHOU Zunchun
	LI Yunfeng

Cite this article:

LI Yulong,ZHANG Weijie,TIAN Meilin, et al. Heritability Estimating and Correlativity of Growth Traits in Juvenile Edible Jellyfish Rhopilema esculentum[J]. Fisheries Science, 2023, 42(4): 698-704.

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https://www.shchkx.com/EN/10.16378/j.cnki.1003-1111.21154 OR https://www.shchkx.com/EN/Y2023/V42/I4/698

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