亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Genetic improvement of farmed Nile tilapia (Oreochromis niloticus) through selective breeding in Egypt

尼罗罗非鱼 俄勒冈 生物 罗非鱼 人口 兽医学 罗非鱼养殖 选择(遗传算法) 遗传变异 动物 动物科学 渔业 人口学 遗传学 基因 社会学 人工智能 医学 计算机科学
作者
Fawzia S. Ali,Hani M. Nazmi,Basem S. Abdelaty,Alaa El-Far,Ashraf Mas Goda
出处
期刊:International Journal of Fisheries and Aquatic Studies 卷期号:5 (6): 395-401 被引量:6
摘要

Nile tilapia, Oreochromis niloticus is one of the most economically important African fish. The present study illustrates the current state of a selection program that mainly focuses on growth rate of farmed Nile Tilapia. Nile tilapia populations were collected from three geographically separated locations; Kafr El-Sheikh (K), Faiyum (F) and Serow (S). The selection based on fish age, condition factor and the genetic variation between populations; parents of two years, high Condition Factor (CF) and genetically distant parents were selected. Fish were fed on different nutrition regimes in different seasons. Simple Sequence repeats (SSR) technique was applied to assess the genetic variation between the studied populations. The molecular examination revealed that Kafr El-Sheikh (K) and Faiyum (F) populations are the most genetically distant populations with the lowest genetic similarity, 0.103. Therefore, two combinations of mating were done between (K) and (F), (F♀X K♂) and (F♂X K♀). Moreover, selected males and females from each population were also mated; (K♀ x K♂), (F♀ x F♂), (S♀ x S♂). Differences in growth rate among the produced strains were recorded during a period of five months revealing that (F♂ × k ♀) followed by (F♀× k ♂) & (F♀× F♂) strains have the highest significant values of total weight. Therefore, these strains will be considered as brood stocks for the coming selection. The work in this investigation will continue for at least another four years.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
dandan发布了新的文献求助10
2秒前
henry完成签到,获得积分10
6秒前
洁净友蕊完成签到,获得积分10
11秒前
丘比特应助梅豆采纳,获得10
13秒前
科研通AI6.2应助Criminology34采纳,获得200
28秒前
29秒前
29秒前
ccczzz应助科研通管家采纳,获得10
29秒前
30秒前
Orange应助研友_惊鸿采纳,获得10
31秒前
32秒前
梅豆发布了新的文献求助10
36秒前
38秒前
42秒前
D调的华丽发布了新的文献求助10
43秒前
D调的华丽发布了新的文献求助10
44秒前
D调的华丽发布了新的文献求助10
44秒前
47秒前
48秒前
D调的华丽发布了新的文献求助10
48秒前
D调的华丽发布了新的文献求助10
48秒前
D调的华丽发布了新的文献求助10
48秒前
D调的华丽发布了新的文献求助10
48秒前
49秒前
50秒前
51秒前
D调的华丽发布了新的文献求助10
52秒前
D调的华丽发布了新的文献求助10
52秒前
D调的华丽发布了新的文献求助10
52秒前
D调的华丽发布了新的文献求助10
52秒前
D调的华丽发布了新的文献求助10
52秒前
55秒前
D调的华丽发布了新的文献求助10
56秒前
D调的华丽发布了新的文献求助10
56秒前
D调的华丽发布了新的文献求助10
56秒前
D调的华丽发布了新的文献求助10
56秒前
思源应助potato采纳,获得10
56秒前
1分钟前
D调的华丽发布了新的文献求助10
1分钟前
D调的华丽发布了新的文献求助10
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Health Psychology 1000
全员动态考核,锚定高质量发展:读懂同济大学教师人事改革新政的深层价值 900
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Römisch-Germanische Forschungen 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7597402
求助须知:如何正确求助?哪些是违规求助? 9174106
关于积分的说明 19640162
捐赠科研通 7174345
什么是DOI,文献DOI怎么找? 3268235
关于科研通互助平台的介绍 2432792
邀请新用户注册赠送积分活动 2261463