凡纳滨对虾幼虾体重性状在低温波动环境下的遗传参数分析

基于凡纳滨对虾(Litopenaeus vannamei) 40K SNP 芯片分型信息估计了低温波动条件下幼虾体重性状的遗传参数, 为凡纳滨对虾耐低温新品种的选育提供基础数据。利用来自 40 个家系的 4000 尾凡纳滨对虾幼虾, 通过地下井水降温的方式使养殖温度从 30 ℃骤降至 20 , 24 h ℃ 自然回温后稳定 4 d。该降温–回温–稳定过程重复 3 次, 继续养殖 15 d后进行体重和存活性状测试。与对照群体相比, 低温波动条件对凡纳滨对虾幼虾生长影响显著(P＜0.05), 而对存活性状影响不显著(P＞0.05)。根据个体的系谱信息构建 A 矩阵; 利用 40K SNP 芯片对 159 尾家系亲本及其同胞个体进行 SNP 分型, 复合 SNP 信息和系谱信息构建 H 矩阵。基于 A 和 H 矩阵, 利用个体动物模型估计体重性状的方差组分和遗传参数。低温波动条件下凡纳滨对虾幼虾基于 A 矩阵获得体重的遗传力为 0.37±0.07, 基于 H 矩阵获得体重的遗传力为 0.40±0.08, 为高遗传力水平。经交叉验证, 基于两种不同矩阵的预测准确性和偏差无明显差别。研究结果表明, 低温波动条件下凡纳滨对虾幼虾的体重性状表现出丰富的遗传变异, 多代选育可能获得较大的遗传进展。     

淮河水系沙塘鳢形态特征和分类地位初步研究

研究分析了淮河水系沙塘鳢(Odontobutis obscura)的形态特征,并对其分类地位进行了探讨。可数性状:背鳍Ⅶ,Ⅰ-9~10,尾鳍14~15,臀鳍Ⅰ-7~8,腹鳍Ⅰ-5,胸鳍14~15,纵列鳞36~41,横列鳞14~18,体侧感觉乳突线鳞28~30,第一鳃弓鳃耙数9~11,脊椎骨数28~29。可量性状:全长是体长(1.23±0.03)倍;体长是体高(3.82±0.45)倍,是头长(3.08±0.49)倍,是尾柄长(5.19±0.54)倍,是消化道长(1.86±0.52)倍,是肠长(6.99±2.86)倍;头长是吻长(2.94±0.42)倍,是眼径(6.09±0.87)倍,是眼间距(3.86±0.61)倍,是口裂宽(1.94±0.27)倍;体高是体厚(0.96±0.11)倍;尾柄长是尾柄高(1.66±0.18)倍。     

牙鲆(Paralichthys olivaceus)家系生长性状遗传效应分析

牙鲆(Paralichthys olivaceus)优良养殖新品种培育是防止其品种退化和提高经济效益的主要途径,数量性状遗传评估是牙鲆育种的主要方法之一.本研究利用已建立的牙鲆核心群体建立42个牙鲆家系,分别测量140、170、200、380日龄各家系生长相关性状(体重、全长和体宽),通过MINQUE、REML和BLUP方法对其进行数量遗传分析.结果显示,不同时期生长性状的变异系数为10.56％-38.62％,其中,体重的变异系数最大,全长和体宽的变异系数都较小,不同性状的变异系数均随着日龄的增加而减小.3个性状的加性方差分量比率为(0.13±0.01)-(0.29±0.06),随机方差分量比率为(0.71±0.06)-(0.87±0.01),狭义遗传力为(0.13±0.01)-(0.29±0.06),广义遗传力为(0.15±0.01)-(0.54±0.06),以上遗传参数均达极显著性水平(P＜0.01).综合比较3个性状在不同时期的遗传效应,结果发现,F0990、F1005、KS和F0719这4个群体亲本都为极显著正向效应,F0751、F0768、F0780、F09121、F0927和RS这6个群体亲本都为极显著负向效应(P＜0.01),其余的亲本均为一般效应.表型相关系数在0.82-0.96之间,遗传相关系数在0.72-0.97之间.利用BLUP方法对380日龄测量的数据进行育种值估算,结果发现,亲鱼体重育种值为14.63-100.05,其中,体重育种值最高的亲鱼个体为F1005-8、F09119-11、F09125-4、F0915-57、F09104-12、F1264、F0908-38、F0927-20、F1005-53、F0990-6、F09125-7、F0751-14和F1005-42.家系平均体重育种值为20.87-35.60,其中,平均体重育种值最高的家系为F1416、F1428、F1442、F1418、F1427、F1408、F1402、F1412和F1446.以体重育种值为依据选留的家系育种值与根据表型值选留的家系育种值比较可得:体重育种值选择比其表型值的选择效率高81.91％,育种值选育更好.本研究为牙鲆优良家系的建立及新品种的培育筛选出了性状优良的亲本和家系,同时为牙鲆育种计划的制定提供了重要理论依据.     

长牡蛎壳橙性状遗传参数评估及与生长性状的关联性

长牡蛎壳橙快速生长品系是结合群体选育与种内群体间杂交方法,以壳色性状和生长性状为选育指标,经过连续3代选育获得的新品系。本研究以第1代长牡蛎壳橙快速生长品系(G₁)为亲本,采用巢式设计建立了48个混养家系,共获得863个个体。利用微卫星标记对混养家系进行了系谱分析,并基于REML法评估了长牡蛎壳橙快速生长品系壳色性状的遗传参数及与生长性状的相关性。结果显示,863个个体中,有851个个体被准确鉴定其所属家系;长牡蛎壳橙快速生长品系壳色性状颜色参数指标a^*(红绿轴色品指数)、b^*(黄蓝轴色品指数)和ΔE (色差)等均具中高等遗传力,大小依次为0.47±0.23、0.42±0.21和0.56±0.29。4个颜色参数指标间的遗传相关和表型相关范围分别为-0.79~0.86和-0.45~0.48。壳色性状与各生长性状的遗传相关和表型相关较低,分别为-0.33~0.17和-0.04~0.11。研究表明,在长牡蛎壳橙快速生长品系育种过程中,对壳色性状进行选育可以得到预期的改良效果。此外,壳橙性状与生长性状应分别作为目标性状进行协同选择,以实现同时改良两个性状的目的。本研究可为长牡蛎壳橙快速生长品系选育提供基础资料。     

大菱鲆25日龄3个经济性状的遗传参数评估

为估计我国引进大菱鲆群体的遗传学参数,2006年从多个大菱鲆养殖场采集源于不同国家和地区、不同进口批次的大菱鲆亲鱼,利用人工授精技术构建了66个全同胞家系,包括26个父系半同胞家系组。选用混合模型方程,通过约束最大似然法进行了方差、协方差、遗传力和遗传相关等估计。结果表明,大菱鲆25d仔鱼体长、存活率和白化率的遗传力分别为0.20、0.07和0.22;3个性状间呈负遗传相关关系,检验不显著。研究结果表明,大菱鲆体长和白化率是中度遗传力,选择育种潜力较大;3个性状任何性状的选择对其他两个性状的影响很小,利用一个性状对另一个性状的间接选择是不可行的。     

草鱼生长性状的遗传参数和育种值估计

利用草鱼(Ctenopharyngodon idellus)生长性状选育核心群亲本,采用人工授精方式构建21个全同胞家系,并选用动物模型对16月龄草鱼生长性状进行遗传参数和育种值估计。结果显示,草鱼选育种群的生长性状存在丰富变异。采用约束极大似然法估计方差组分,发现草鱼体重、体长和体高性状的遗传力分别为0.39,0.47,0.21,属于中高遗传力;肥满度性状遗传力为0.11,属于低遗传力;4个性状的共同环境效应值相近且较小,范围为0.07~0.17。采用两性状动物模型分析相关性,发现体重、体长和体高性状间表型和遗传相关系数均达到高度正相关(r=0.88~0.97),而肥满度性状与三者间相关系数接近零,只与体高性状存在一定遗传正相关(r=0.43)。结合各性状遗传变异系数和相对遗传进度,分析表明,以体重为目标性状可便捷有效地改良草鱼生长性能。采用最佳线性无偏估计法预测个体育种值,发现4个性状育种值与表型值的相关系数范围为0.77~0.93。基于单性状育种值和表型值分别进行个体选择,按10%留种率,各性状选留个体相同率为68.75%~81.82%,秩相关系数范围为0.19~0.81,两种选择方式显示出较大差异,且差异大小与性状遗传力成反比例。本研究为草鱼生长性状选择育种提供了理论依据和技术支撑。     

基于线粒体COⅠ和Cytb基因序列的北太平洋柔鱼种群遗传结构研究

为准确掌握柔鱼的种群遗传结构,拟通过线粒体DNA的COI和Cytb基因序列分析方法对柔鱼不同产卵季节群体的遗传多样性和遗传结构进行研究。经PCR扩增与测序分别获得600 bp COI与481 bp Cytb基因序列。基于COI基因序列分析得到的单倍型数、单倍型多样性指数、核苷酸多样性指数及平均核苷酸差异数分别为24、(0.729 ±0.033)、(0.005 70 ± 0.003 25)和3.421。基于Cytb基因序列分析得到的单倍型数、单倍型多样性指数、核苷酸多样性指数及平均核苷酸差异数分别为28、(0.852 ± 0.016)、(0.006 45 ± 0.003 73)和3.101。分析认为, 北太平洋柔鱼2个产卵季节群体均具有较高的单倍型多样性指数和较低的核苷酸多样性指数。单倍型邻接树、两两群体间的F_st值以及AMOVA分析结果均表明, 北太平洋柔鱼2个产卵季节群体间的遗传差异不显著, 不存在显著的群体遗传结构。初步认为, 该海域因缺乏地理上的障碍, 加之北太平洋海流的作用以及柔鱼个体较强的游泳能力, 使得群体之间具有较强的基因流。     

菲律宾蛤仔奶牛蛤品系两个世代的杂交与近交效应

为改良菲律宾蛤仔奶牛蛤品系的表型性状,于2010年7月以奶牛品系的全同胞子一代和子二代上选10%的个体作为亲本,采用双列杂交法,建立近交组合(F₂₂、F₃₃)、杂交组合(F₂₃、F₃₂)并设置对照组(C₂₂、C₃₃),研究了两个近交世代的杂交效应及近交效应。结果表明,杂交使得幼虫的生长性状和存活性状得到了部分改良,但稚贝的生长性状尚未得到提高。幼虫表现出微弱的生长优势,中亲生长优势为(0.95±1.23);F₂₃杂种优势为(0.36±0.59),F₃₂杂种优势为(1.56±1.96)。稚贝表现为杂种劣势,中亲生长劣势为(-2.90±3.20);F₂₃稚贝杂种劣势为(-4.60±3.21),F₃₂稚贝杂种劣势为(-0.75±10.13)。幼虫和稚贝均表现为存活优势,中亲存活优势分别为(9.43±4.41)、(8.66±12.25);F₂₃存活优势分别为(0.77±3.60)、(6.70±8.81);F₃₂存活优势分别为(20.93±7.92)、(10.94±16.28)。杂交效应主要受到交配方式的影响,母本效应主要作用于幼虫期。近交使得世代F₂₂、F₃₃的生长性状得到了改良,但两个世代的存活性状均出现了不同程度的近交衰退。世代 F₂₂、F₃₃幼虫期生长性状表现为近交衰退,衰退率分别为(5.17±4.38)、(4.99±2.72);稚贝期生长性状未表现出近交衰退现象,其衰退率分别为(-0.79±13.66)、(-0.93±12.85)。对于存活性状而言,两个世代均出现近交衰退现象,世代F₂₂及F33幼虫和稚贝的近交衰退率分别为(0.16±5.82)、(9.98±10.04),(19.33±11.28)、(13.08±16.17)。表型性状的近交效应主要受到世代效应的影响。通过上选、杂交与近交的有机结合,有效地改良了奶牛蛤品系的表型性状。     

熊本牡蛎多嵴和无嵴品系F3生长性状的连续选择效应

为进一步检测熊本牡蛎(Crassostrea sikamea)多嵴和无嵴品系F3的连续选择反应,以2个品系F2上选组为材料,开展2个品系F3混合上选研究,评估2个品系F3生长性状的选择反应、现实遗传力及遗传改进量,解析选育过程中选择效应、品系效应及二者交互作用对生产性状的影响。结果表明:多嵴品系F3生长性状具有较高的现实遗传力,表现出较好的遗传改良效果;无嵴品系F3表现出中等现实遗传力水平,但仍具有一定程度的遗传改良潜能。养成期360日龄时,多嵴品系子代壳高、鲜重的选择反应分别为0.70、0.76;现实遗传力分别为0.40、0.43;遗传改进量分别为7.02%、12.29%;无嵴品系的选择反应分别为0.36、0.33;现实遗传力分别为0.20、0.19;遗传改进量分别为3.74%、5.72%。经过双因子分析模型检测发现:品系来源是影响F3生长性状的主要因子,选择效应是次要因子,二者间不存在明显的交互作用。由此可见,随着连续选择的进行,选择反应逐渐降低,品系来源作用增强,本研究为熊本牡蛎遗传改良和新品系培育奠定了基础。     

乌鳢血液指标的研究

对乌鳢的红、白细胞数、血红蛋白等血液指标进行了研究。结果如下:乌鳢的红细胞数为(369.83±51.03)万个/mm3;白细胞数为(5.88±1.27)万个/mm3;血红蛋白为(9.54±0.61)g/100ml;白细胞分类计数中淋巴细胞占(58.23±5.67)%;嗜中性细胞占(28.10±4.36)%;单核细胞占(9.10±4.02)%;嗜碱性细胞和嗜酸性细胞观测到的数目很少;血沉为(1.50±0.12)mm/h;红细胞膜最大抵抗值为(0.38±0.02)%;红细胞大小为(10.02±0.52)μm×(7.01±0.24)μm(长径×短径);红细胞核为(4.22±0.27)μm×(1.96±0.18)μm(长径×短径)。     

Heritabilities and genetic correlations of size traits at harvest size in sexually dimorphic Pacific white shrimp (Litopenaeus vannamei) grown in two environments

A captive population of Pacific white shrimp (Penaeus vannamei) replicated in two environments was evaluated for genetic variability and covariability of size traits. A total of 37 full‐sib families, each with an average of 16–20 individuals within family, were used for the analysis. There was no family by environment interaction for any of the traits. However, both fixed effects, sex and environment, were significant. The shrimp grown in environment ‘B’ (Sinaloa) grew larger and heavier than those grown in environment ‘A’ (La Paz), possibly because of the higher temperatures and lower densities in the first one during grow‐out. The females were significantly larger than the males for all traits, except for abdominal (tail) length and weight. The heritabilities, estimated through MTDFREML (multiple‐trait derivative‐free restricted maximum likelihood) after introducing environment and sex as fixed effects, were total length 0.22±0.07, abdominal length 0.23±0.07, cephalothorax length 0.17±0.06, total weight 0.17±0.06, abdominal weight 0.18±0.06, cephalothorax weight 0.15±0.06, and width of the first abdominal segment (0.14±0.05). Genetic correlations (r_g) were high between the length and weight (total and abdominal), but lower for cephalothorax weight or length with the other traits. The width of the first abdominal segment correlations with other traits was intermediate.     

Genetic analysis of early growth traits of the triangle shell mussel, Hyriopsis Cumingii, as an insight for potential genetic improvement to pearl quality and yield

Individual Hyriopsis cumingii were collected from Poyang Lake, Dongting Lake, and Taihu Lake, China, from which 17 paternal half-sib families, including 51 full-sib families, were produced using a nested design. After the cage culture of each family with ten replicates for 57?days, 30 individuals were randomly selected from each cage, totaling 15,300. Four growth traits were measured for genetic analysis in each mussel: shell length, shell height, shell thickness, and body weight. The heritability of each trait was 0.49?±?0.37, 0.27?±?0.29, 0.59?±?0.39, and 0.47?±?0.38, respectively. Phenotypic and genetic correlation between these four traits fell within the range of 0.89–0.95 and 0.97–1.00, respectively. Early growth traits of H. cumingii show sufficient genetic diversity for genetic improvement. Both phenotypic and genetic correlation between the four traits are high, and thus, the modification on one target trait may modify the remaining three traits accordingly.     

Heritabilities and genetic correlation of shell thickness and shell length growth in a mussel,Mytilus chilensis (Bivalvia:Mytilidae)

Shell thickness in mollusks is generally considered adaptive because of their effects on fitness. However, little is known about the genetic basis of shell thickness. This is important, because the response to selection and the subsequent adaptive microevolution of a trait, such as thickness is only possible when that trait exhibits additive genetic variation. Here, we estimated the narrow‐sense heritability (h²: ratio between additive genetic variance and phenotypic variance) for the traits ‘shell thickness’ and ‘shell length growth’ in a 34‐month‐old cohort of the mussel Mytilus chilensis obtained by using a half‐full sib design and grown in the field. Also, phenotypic and genetic correlations were estimated between both traits. We found that h² showed significant values for shell thickness (0.294 ± 0.194) and length (0.731 ± 0.379). The phenotypic correlation between both traits was positive and significant; however, the genetic correlation between these traits was not. These results suggest both traits can evolve adaptively by selection, but because these traits did not show genetic correlation, it is possible that selection pressure affecting one trait may not affect the other.     

Genetic parameter estimation of nine quantitative traits by a marker‐based method in Large Yellow Croaker,Larimichthys crocea (Richardson)

Large yellow croaker accounts for the largest biomass production of any maricultured fish in China. However, very little is known about the genetic parameters of its commercially important traits. As an initial step towards developing a selective breeding programme, genetic parameters of nine quantitative traits were estimated using a marker‐based method. Dorsal fin samples were collected to extract genomic DNA, and GBS method was employed to construct the libraries for sequencing. Genetic parameters were estimated by REML method through a genomic relationship matrix (G matrix) constructed by abundant genomewide SNPs. The nine traits were body weight (BWT), body length (BL), body height (BH), length/height ratio (LTH), body width (BWH), eviscerated weight (EW), gonad weight (GW), eviscerated weight/body weight ratio (REB) and swim bladder index (SBI). Estimates of heritability were 0.63 ± 0.11, 0.60 ± 0.11, 0.53 ± 0.11, 0.34 ± 0.11, 0.55 ± 0.11, 0.66 ± 0.11, 0.37 ± 0.10, 0.25 ± 0.08 and 0.71 ± 0.10 for the nine traits respectively. The relatively high heritability values may be derived from calculating the genetic relationship by high‐density SNPs. To illustrate that, we had studied on the variation of the heritability estimates with different number of SNPs evenly sampled from 29748 SNPs. The results showed that the estimates of heritability generally decreased when the number of SNPs reduced. There were relatively high phenotypic and genetic correlations between the pairs of BWT, BL, BH, BWH and EW, which indicated that genetic improvement for these traits could be accomplished merely by selecting one trait. The results obtained in this study may provide a reference for the later selective breeding programme.     

Modeling meat yield based on measurements of body traits in genetically improved giant freshwater prawn (GFP) Macrobrachium rosenbergii

A single-generation dataset consisting of 1,730 records from a selection program for high growth rate in giant freshwater prawn (GFP, Macrobrachium rosenbergii) was used to derive prediction equations for meat weight and meat yield. Models were based on body traits [body weight, total length and abdominal width (AW)] and carcass measurements (tail weight and exoskeleton-off weight). Lengths and width were adjusted for the systematic effects of selection line, male morphotypes and female reproductive status, and for the covariables of age at slaughter within sex and body weight. Body and meat weights adjusted for the same effects (except body weight) were used to calculate meat yield (expressed as percentage of tail weight/body weight and exoskeleton-off weight/body weight). The edible meat weight and yield in this GFP population ranged from 12 to 15 g and 37 to 45 %, respectively. The simple (Pearson) correlation coefficients between body traits (body weight, total length and AW) and meat weight were moderate to very high and positive (0.75–0.94), but the correlations between body traits and meat yield were negative (?0.47 to ?0.74). There were strong linear positive relationships between measurements of body traits and meat weight, whereas relationships of body traits with meat yield were moderate and negative. Step-wise multiple regression analysis showed that the best model to predict meat weight included all body traits, with a coefficient of determination (R ²) of 0.99 and a correlation between observed and predicted values of meat weight of 0.99. The corresponding figures for meat yield were 0.91 and 0.95, respectively. Body weight or length was the best predictor of meat weight, explaining 91–94 % of observed variance when it was fitted alone in the model. By contrast, tail width explained a lower proportion (69–82 %) of total variance in the single trait models. It is concluded that in practical breeding programs, improvement of meat weight can be easily made through indirect selection for body trait combinations. The improvement of meat yield, albeit being more difficult, is possible by genetic means, with 91 % of the variation in the trait explained by the body and carcass traits examined in this study.     

Heritability estimates for growth‐related traits in the Pacific oyster (Crassostrea gigas) using a molecular pedigree

Pacific oyster is one of the leading species in world aquaculture, but heritability estimation applying mixed‐family approach has not been actively pursued. In this study, heritability for growth‐related traits in the Pacific oyster was first estimated by creating a single cohort of 45 families in a full‐factorial mating design consisting of nine sires and five dams. A total of 270 offspring were analysed and parentage assignment inferred by six microsatellite markers achieved 100% success. All parents contributed to the spawn and a total of 42 full‐sib families were represented. Using an animal model, heritability estimates at 12 months of age were 0.49 ± 0.25 for shell height, 0.36 ± 0.19 for shell length, 0.45 ± 0.23 for shell width and 0.35 ± 0.17 for wet weight. Genetic correlation between shell height and wet weight was quite high (0.79 ± 0.25), suggesting that direct selection of shell height, which is an easily measurable trait, also improves wet weight. The results obtained in this study indicate that growth‐related traits could be improved by exploiting additive genetic effects through selective breeding.     

Genetic differences between sexes for morphometric traits of GIFT tilapia

The study was carried out to verify the genetic differences in the morphometric traits between male and female tilapia GIFT under the selection for weight gain. The data set used contained information of 6650 animals of the third (2198), fourth (1720) and fifth (2732) generations of GIFT in Brazil, in addition to the 8590 animals, of the first five generations, included in the relationship matrix. The morphometric traits used were standard length (SL: 19.8 ± 1.7), body depth (BD: 7.6 ± 0.76), body width (BW: 3.5 ± 0.54), body area (BA: 151.3 ± 27.6) and body volume (BV: 536.7 ± 143.5). Bicharacter analyses were performed considering the same morphometric measure evaluated for each sex as different traits to estimate the (co)variance components. The heritability and environmental common effects of the larval and fry phases for each trait of each sex were estimated. Genetic correlations between males and females for the same body trait were estimated. The larval effect was higher for females (SL = 0.1; BD = 0.07; BW = 0.05; BA = 0.09; BV = 0.09) than for males (SL = 0.04; BD = 0.03, BW = 0.01, BA = 0.04; BV = 0.03), while the fry effect was similar between the sexes. The heritability of males (SL = 0.25; BD = 0.3; BW = 0.33; BA = 0.31; BV = 0.35) was, in general, higher than those present in females (SL = 0.19; BD = 0.2, BW = 0.18, BA = 0.2; BV = 0.2), and the genetic correlations between males and females were below 0.5 (SL = 0.5; BD = 0.39, BW = 0.42, BA = 0.45; BV = 0.43). Thus, it can be seen that the males respond differently to the females in terms of body shape, of the selection for weight gain.     

仿刺参疣足数量SNP遗传力评估

随着测序技术的发展,基于单核苷酸多态性(SNP)分子标记的遗传力估计比传统法准确性更高,已被广泛应用于动植物育种中.本研究对不同地理仿刺参(Apostichopus japonicus)群体的疣足数量进行重测序全基因组水平的SNP遗传力估计,结果显示,次等位基因频率(Minor allele frequency,MAF...     

低温胁迫条件下中国明对虾生长性状和耐低温性状的遗传参数评估

本研究采用室内人工降温的方式,对69个中国明对虾(Fenneropenaeus chinensis)家系共1327尾成虾进行了耐低温实验,测定其生长和耐低温性状;并利用混合模型方程,通过平均信息约束极大似然法进行遗传力和遗传相关估计。采用2种动物模型对中国明对虾成虾低温下体重、体长的遗传力进行评估,模型1加入了共同环境效应,模型2没有加入共同环境效应。由模型1获得的体重、体长的遗传力分别为(0.206±0.177)、(0.187±0.179),由模型2获得的体重、体长的遗传力分别为(0.317±0.065)、(0.298±0.063),均为中低等遗传力。经似然比检验体重、体长在模型1和模型2间的似然比值均无显著差异(P0.05),表明模型1和模型2之间无显著差异,模型2为较优遗传模型。以半致死时的存活状态作为耐低温性状指标,遗传力为(0.169±0.078),为低等遗传力。低温下体重、体长之间的表型和遗传相关分别为(0.823±0.010)和(0.969±0.018),为高度正相关;低温下体重、体长与半致死时的存活状态的表型相关分别为(0.187±0.030)和(0.218±0.030),为低度正相关;而遗传相关分别为(0.517±0.205)和(0.538±0.203),为中度正相关。本研究表明,对生长性状进行的选育不会降低其耐低温能力,中国明对虾耐低温性状可与生长性状进行共同复合选育。     

Phenotypic estimates and heritability values of Artemia franciscana

Artemia, in all stages of its life cycle, is suitable food for most diversified groups of aquatic animals. Although its size at different stages restricts its use as a food for some groups of fish, this problem can be overcome using selective breeding techniques. The formulation of any selective breeding programme calls for a proper understanding of the genetic architecture of the economically important traits of the population under study. Thus, heritability for certain important life history and reproductive traits was estimated in Artemia franciscana from the Great Salt Lake, Utah. In the present study, the sexwise heritability values for growth and reproduction traits were estimated using parent–offspring regression. The phenotypic parameters for the same traits are also recorded. The naupliar length was 487.0±2.0 and 490.6±1.8 μm for males and females, respectively, whereas the heritability values for naupliar length were 0.5851±0.2153 and 0.3766±0.1899 respectively. The length at 3 and 6 days of age were 1.87±0.03 and 4.10±0.08 mm, respectively, for males whereas 1.87±0.03 and 4.30±0.08 mm, respectively, for females. The heritability values for length at 3 and 6 days of age for males were 0.3272±0.3651 and 0.4965±0.2466, respectively, whereas the respective values for the females were 0.1167±0.3841 and 0.0222±0.2971. The estimates of length at first brood, pre‐reproductive period and number of offspring in first brood were 10.09±0.23 mm, 16.00±0.23 days and 53.57±1.37 days, respectively, whereas the heritability values for respective traits were 0.0403±0.1078, 0.3234±0.2874 and 0.3404±0.2202.