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1.
Genetic parameters from both single-trait and bivariate analyses for prolificacy, weight and wool traits were estimated using REML with animal models for Columbia sheep from data collected from 1950 to 1998 at the U.S. Sheep Experiment Station (USSES), Dubois, ID. Breeding values from both single-trait and seven-trait analyses calculated using the parameters estimated from the single-trait and bivariate analyses were compared with respect to genetic trends. Number of observations were 31,401 for litter size at birth and litter size at weaning, 24,741 for birth weight, 23,903 for weaning weight, 29,572 for fleece weight and fleece grade, and 2,449 for staple length. Direct heritability estimates from single-trait analyses were 0.09 for litter size at birth, 0.06 for litter size at weaning, 0.27 for birth weight, 0.16 for weaning weight, 0.53 for fleece weight, 0.41 for fleece grade, and 0.55 for staple length. Estimate of direct genetic correlation between littersize at birth and weaning was 0.84 and between birth and weaning weights was 0.56. Estimate of genetic correlation between fleece weight and staple length was positive (0.55) but negative between fleece weight and fleece grade (-0.47) and between staple length and fleece grade (-0.70). Estimates of genetic correlations were positive but small between birth weight and litter size traits and moderate and positive between weaning weight and litter size traits. Fleece weight was lowly and negatively correlated with both litter size traits. Fleece grade was lowly and positively correlated with both litter size traits, while staple length was lowly and negatively correlated with the litter size traits. Estimates of correlations between weight traits and fleece weight were positive and low to moderate. Estimates of correlations between weight traits and fleece grade were negative and small. Estimates of correlations between staple length and birth weight (0.05) and weaning weight were small (-0.04). Estimated breeding values averaged by year of birth from both the single-trait and multiple-trait analyses for the prolificacy and weight traits increased over time, but were unchanged for the wool traits. Estimated changes in breeding values over time did not differ substantially for single-trait and multiple-trait analyses, except for traits highly correlated with another trait that was responding to selection.  相似文献   

2.
Genetic parameters from both single-trait and bivariate analyses for prolificacy, weight, and wool traits were estimated using REML with animal models for Targhee sheep from data collected from 1950 to 1998 at the U.S. Sheep Experiment Station, Dubois, ID. Breeding values from both single-trait and seven-trait analyses calculated with the parameters estimated from the single-trait and bivariate analyses were compared across years of birth with respect to genetic trends. The numbers of observations were 38,625 for litter size at birth and litter size at weaning, 33,994 for birth weight, 32,715 for weaning weight, 36,807 for fleece weight and fleece grade, and 3,341 for staple length. Direct heritability estimates from single-trait analyses were 0.10 for litter size at birth, 0.07 for litter size at weaning, 0.25 for birth weight, 0.22 for weaning weight, 0.54 for fleece weight, 0.41 for fleece grade, and 0.65 for staple length. Estimate of direct genetic correlation between litter size at birth and weaning was 0.77 and between birth and weaning weights was 0.52. The estimate of genetic correlation between fleece weight and staple length was positive (0.54), but was negative between fleece weight and fleece grade (-0.47) and between staple length and fleece grade (-0.69). Estimates of genetic correlations were near zero between birth weight and litter size traits and small and positive between weaning weight and litter size traits. Fleece weight was slightly and negatively correlated with both litter size traits. Fleece grade was slightly and positively correlated with both litter size traits. Estimates of correlations between staple length and litter size at birth (-0.14) and litter size at weaning (0.05) were small. Estimates of correlations between weight traits and fleece weight were positive and low to moderate. Estimates of correlations between weight traits and fleece grade were negative and small, whereas estimates between weight traits and staple length were positive and small. Estimated breeding values averaged by year of birth from both the single- and seven-trait analyses for the prolificacy and weight traits increased over time, whereas those for fleece weight decreased slightly and those for the other wool traits were unchanged. Estimated changes in breeding values over time did not differ substantially for the single-trait and seven-trait analyses, except for traits highly correlated with another trait that was responding to selection.  相似文献   

3.
Total litter weight weaned at 120 d postpartum per ewe lambing is often believed to be a measure of range ewe productivity. Genetic correlations for litter weight weaned at 120 d with prolificacy, growth, and wool traits for Columbia, Polypay, Rambouillet, and Targhee sheep were estimated using REML with animal models. Observations per breed ranged from 5,140 to 7,083 for litter weight weaned, from 5,140 to 7,095 for prolificacy traits, from 7,750 to 9,530 for growth traits, and from 4,603 to 18,443 for wool traits. Heritability estimates for litter weight weaned were low and ranged from 0.02 to 0.11. Fraction of variance due to permanent environmental effects averaged 0.05 and, due to effects of mates, averaged 0.01. Estimates of genetic correlations with litter weight weaned varied from breed to breed. The ranges were as follows: 0.42 to 0.65 with litter size born, 0.80 to 0.99 with litter size weaned, -0.22 to 0.28 with birth weight, -0.07 to 0.23 with average daily gain to weaning, -0.56 to 0.19 with fleece weight, -0.15 to 0.02 with fleece grade, and -0.11 to 0.08 with staple length. Results suggest that, if selection were practiced on litter weight weaned, the average correlated responses would be expected to be favorable or neutral for prolificacy, growth, and wool traits although responses might vary from breed to breed.  相似文献   

4.
为了解中国美利奴羊（新疆型）近年来遗传结构的变化趋势以及探讨毛用性状与繁殖性状的遗传关系,需要进一步研究这些性状的遗传力以及它们之间的关系。本研究收集额敏县聚鑫细毛羊养殖专业合作社1985-2018年中国美利奴羊（新疆型）共计9 428只羊毛生产记录和1987-2018共计5 887只年繁殖记录,运用BLUPF90软件结合Gibbs抽样方法,利用单性状模型对中国美利奴（新疆型）毛用性状（细度支数、等级、总评分、毛长、污毛重和鉴定时体重）和繁殖性状（配种次数、妊娠天数、胎产羔数和总产羔数）进行方差组分和遗传力估计,利用双性状模型分析毛用性状与繁殖性状之间的遗传相关与表型相关。结果显示,中国美利奴羊（新疆型）毛用性状细度支数、等级、总评分、毛长、污毛重、鉴定时体重的遗传力估计值分别为0.471±0.020、0.088±0.030、0.114±0.018、0.426±0.025、0.328±0.041、0.317±0.046;繁殖性状配种次数、妊娠天数、胎产羔数及总产羔数的遗传力估计值分别为0.056±0.009、0.022±0.010、0.120±0.018、0.163±0.016;毛用性状与胎产羔数、总产羔数之间的遗传相关范围为-0.031~0.286,鉴定时体重与胎产羔数（0.286）、总产羔数（0.204）遗传相关最高,细度支数与胎产羔数（-0.143）、总产羔数（-0.048）呈负的遗传相关;毛用性状与胎产羔数、总产羔数之间的表型相关范围为-0.210~0.216,毛长与总产羔数（0.216）表型相关最高,细度支数与胎产羔数（-0.137）、总产羔数（-0.210）呈显著负表型相关。本研究结果发现,毛用性状与繁殖性状之间存在一定的关系,这一结果可为今后制定中国美利奴羊育种规划提供数据基础,为选育优质高产、繁殖性能好的细毛羊提供理论依据,从而进一步提高细毛羊产业经济效益。  相似文献   

5.
Genetic parameters for wool traits for Columbia, Polypay, Rambouillet, and Targhee breeds of sheep were estimated with single- and multiple-trait analyses using REML with animal models. Traits considered were fleece grade, fleece weight, and staple length. Total number of observations ranged from 11,673 to 34,746 for fleece grade and fleece weight and from 3,500 to 11,641 for staple length for the four breeds. For single-trait analyses, data were divided by age of ewe: young ages (age of 1 yr), middle ages (ages of 2 and 3 yr), and older ages (age greater than 3 yr). Heritability estimates averaged over breeds for fleece grade decreased from .42 at a young age to .37 for older ages. For fleece weight, heritability estimates averaged .52, .57, and .55 within the successively older groups. Heritability estimates for staple length averaged .54 for young and middle age classes. Few older ewes had staple length measurements. After single-trait analyses, new data sets were created for three-trait analyses with traits defined by three age classes when animals were measured. Heritability estimates with three-trait analyses, except for a few cases, were somewhat greater than those from single-trait analyses. For fleece grade, the genetic correlations averaged over breeds were .72 for young with middle, .42 for young with older, and .86 for middle with older age classes. For fleece weight, the average genetic correlations were .81, .83, and .98. For staple length, the average genetic correlation for young with middle age classes was .82. Estimates of genetic correlations across ages varied considerably among breeds. The average estimates of correlations suggest that fleece grade may need to be defined by age, especially for the Columbia and Rambouillet breeds. For fleece weight and staple length, however, the average correlations suggest no need to define those traits by age.  相似文献   

6.
本研究旨在估计高山美利奴羊重要经济性状的遗传参数,为优化高山美利奴羊选育方案、建设品种完整结构、进行遗传评估及实施育种值选种提供理论技术支撑。采用甘肃省绵羊繁育技术推广站2003—2018年高山美利奴羊核心群数据资料,基于ASReml运用单性状个体动物模型和多性状个体动物模型估计高山美利奴羊体重、产羔数、产毛量、净毛量、净毛率、羊毛纤维直径、羊毛纤维直径变异系数、毛丛长度等重要经济性状的遗传参数。结果表明:高山美利奴羊产羔数为低等遗传力,其他所有性状均为中高等遗传力;大部分经济性状间呈正遗传相关,体重、产毛量、羊毛纤维直径与净毛率间呈负遗传相关,羊毛纤维直径变异系数与体重、产毛量、纤维直径呈负遗传相关。  相似文献   

7.
为探索非遗传因素对中国美利奴羊（新疆型）主要经济性状的影响,试验对拜城种羊场1992-2010年共19年周岁母羊鉴定记录进行统计分析,利用最小二乘方差分析法研究出生年份、群别及出生月份3个非遗传因素对周岁母羊鉴定记录的6个主观鉴定性状（头毛评分、毛密度评分、毛弯曲评分、毛细度评分、体型外貌评分、品种等级评分）和4个客观测定性状（毛长度、鉴定时体重、剪毛后体重、剪毛量）共10个经济性状的影响。结果表明,出生年份和群别对10个性状均有极显著影响（P<0.01）;出生月份对除毛密度评分、毛细度评分、品种等级评分外的其他7个性状均有极显著影响（P<0.01）。从毛细度、毛长度和剪毛量3个最主要的性状来看,2008年毛细度评分最高,显著高于2006、2007和2010年（P<0.05）;1996年毛长度最长,显著高于1994、2002、2004、2006、2007、2008和2010年（P<0.05）,与1995、2003和2009年差异不显著（P>0.05）;1995年剪毛量最多,显著高于1994和2009年（P<0.05）,与1992年差异不显著（P>0.05）;除此之外,其他年份的毛细度评分、毛长度和剪毛量均极显著低于最高值（P<0.01）。除2号群外,不同群别各有优势。1、2月份出生的羊较3、4月份好。由此可见,出生年份、群别和出生月份非遗传因素对中国美利奴羊（新疆型）的主要经济性状存在显著影响,因此,在遗传参数估计和遗传评定时应该综合考虑这些因素,从而为获得更为全面、准确的育种值及制定育种方案提供参考依据。  相似文献   

8.
Genetic parameters for a range of sheep production traits have been reviewed from estimates published over the last decade. Weighted means and standard errors of estimates of direct and maternal heritability, common environmental effects and the correlation between direct and maternal effects are presented for various growth, carcass and meat, wool, reproduction, disease resistance and feed intake traits. Weighted means and confidence intervals for the genetic and phenotypic correlations between these traits are also presented. A random effects model that incorporated between and within study variance components was used to obtain the weighted means and variances. The weighted mean heritability estimates for the major wool traits (clean fleece weight, fibre diameter and staple length) and all the growth traits were based on more than 20 independent estimates, with the other wool traits based on more than 10 independent estimates. The mean heritability estimates for the carcass and meat traits were based on very few estimates except for fat (27) and muscle depth (11) in live animals. There were more than 10 independent estimates of heritability for most reproduction traits and for worm resistance, but few estimates for other sheep disease traits or feed intake. The mean genetic and phenotypic correlations were based on considerably smaller numbers of independent estimates. There were a reasonable number of estimates of genetic correlations among most of the wool and growth traits, although there were few estimates for the wool quality traits and among the reproduction traits. Estimates of genetic correlations between the groups of different production traits were very sparse. The mean genetic correlations generally had wide confidence intervals reflecting the large variation between estimates and relatively small data sets (number of sires) used. More accurate estimates of genetic parameters and in particular correlations between economically important traits are required for accurate genetic evaluation and development of breeding objectives.  相似文献   

9.
The juvenile live weights, yearling fleece weight and wool characteristics of 2987 Romney progeny of 114 sires born over 9 breeding seasons in a fleece-weight-selected and a random control line were analysed. The high fleece weight-selected flock performance was higher (P < 0.001) for weaning weight and spring weight (6.9 and 8.4%), higher (P < 0.001) for greasy and clean fleece weight (23.8 and 24.3%), and also higher (P < 0.001) for FD by 1 μm, staple length by 6 mm, and wool yellowness by 0.3 unit than random control yearling sheep. Heritability estimates for weaning and spring live weight, greasy fleece weight, clean fleece weight, yield, fibre diameter, staple length, staple strength, loose wool bulk, brightness and yellowness were 0.15, 0.51, 0.35, 0.36, 0.40, 0.57, 0.41, 0.24, 0.46, 0.12 and 0.14 respectively. The heritability estimates are within the range of the long wool sheep breeds studied previously. The high selection differential achieved in the initial screening commercial flocks however facilitated to approach a selection response peak in a shorter selection duration and thus resulted in a non-significant genetic gain in greasy fleece weight when averaged over the 9 years of selection.  相似文献   

10.
影响优质细毛羊主要性状的非遗传因素分析   总被引：12，自引：1，他引：11  
本文利用SAS8.2软件的GLM程序,分析了主要非遗传因素对新疆优质细毛羊13个周岁鉴定性状的影响。结果表明,出生年份和性别对头部评分、体型评分、毛长、手感评分、密度评分、细度、细度匀度评分、弯曲评分、油汗评分、总评分、剪毛量和剪毛后体重有显著的影响,对长度匀度评分无显著影响。出生类型对体型评分、毛长、长度匀度评分、总评分和剪毛量有显著影响,母亲年龄则显著地影响弯曲评分、体型评分和剪毛后体重。分析结果可作为估计新疆优质细毛羊遗传参数和育种值时,考虑固定效应的依据。  相似文献   

11.
对青海省柴达木地区青海高原毛肉兼用半细毛羊9个主要经济性状进行了遗传力估测。结果表明,初生重、断奶重、周岁剪毛量、羊毛细度、毛长、剪毛前体重、剪毛量都是高遗传力性状,也是青海高原毛肉兼用半细毛羊育种过程中的主要选择依据;断奶重、周岁剪毛量、剪毛前体重与剪毛量之间呈强正遗传相关,断奶重可作为对剪毛量进行早期选择的参数;断奶重与羊毛细度之间呈负遗传相关。  相似文献   

12.
利用19只公羊和5群母羊来测定初生、断奶和周岁时的杂交优势水平。公羊的基因型包括:纯种新疆细毛羊(XX)、纯种澳州美利奴(AA)和它们的一代杂种(F_1):母羊的基因型只有两个,即(XX)和(F_1)。试验于1987—1989年在新疆维吾尔自治区南山种羊场进行,试验设计了一个不同基因型之间的随机交配,以便估计性状的遗传参数和杂交优势水平。 用计算机分析了552个后代的记录。初生重、断奶重、周岁体重、断奶毛长、周岁毛长和周岁剪毛量的杂交优势分别是4.0％、2％、11.55％、0.4％、6.05％和3.49％。生长发育性状的杂交优势水平明显地高于羊毛生长性状的杂交优势水平。  相似文献   

13.
Data on litter size, weaning weights at 60, 90, and 120 d, postweaning gains from weaning to 120 or 365 d of age, fleece weight, and fiber diameter from Targhee, Suffolk, and Polypay flocks participating in the U.S. National Sheep Improvement Program were used to estimate genetic parameters for litter size and genetic relationships between early-life traits and future litter size. Records on 7,591 lambings by 3,131 Targhee ewes, 10,295 lambings by 5,038 Suffolk ewes, and 6,061 lambings by 2,709 Polypay ewes were used. Heritability estimates for litter size ranged from .09 to .11 across breeds; repeatability ranged from .09 to .13. Additive genetic effects on litter size were generally positively, and occasionally significantly, correlated with animal additive genetic effects on weaning weights and postweaning gains. Genetic correlations (r(a)) ranged from .08 to .48 in Targhee and from .17 to .43 in Suffolk but were close to 0 in Polypay (-.14 to .09). Additive maternal effects on weaning weight were positively associated with litter size in Suffolk and Polypay; this correlation was negative (-.23 to -.35), but not significant, in Targhee. Fleece weight was not strongly associated with litter size; (r(a) = -.09 to .21). However, fiber diameter had a significant undesirable correlation with litter size (.30) in Targhee. Estimates of phenotypic correlations of litter size with early-life traits were uniformly small (-.02 to .08). Thus, although occasional genetic antagonisms between litter size and early-life traits were observed in these data, none appeared large enough to prevent simultaneous genetic improvement in both traits.  相似文献   

14.
本试验旨在比较不同数据结构和单性状动物模型对高山美利奴羊（14月龄）重要数量性状遗传参数估计的影响，筛选出估计体重、产毛量、净毛率、净毛量、羊毛纤维直径、羊毛纤维直径变异系数和羊毛长度7个重要经济性状遗传参数的最适模型，准确估计遗传力并为下一步遗传评定奠定基础。使用R语言数据整理相关函数将涉及20 720只14月龄高山美利奴羊数据按系谱完整度和数据量分为数据集1和数据集2。采用R语言ANOVA分析检验鉴定年份、出生类型（单胎或双胎）、群别、性别4个非遗传因素在两个数据集中的显著性，将极显著效应（P < 0.01）放入动物模型中作为固定效应。将两个数据集和两个单性状动物模型组合得到4个模型，其中模型1、模型2分别使用数据集1、数据集2，随机效应为个体加性遗传效应、残差效应；模型3、模型4分别使用数据集1、数据集2，随机效应为个体加性遗传效应、个体永久环境效应和残差效应。用ASReml4软件实现方差组分估计。通过AIC准则、BIC准则评价各模型，用LRT检验比较各模型。最后，针对各性状选出最适模型进行遗传力估计。结果显示：①非遗传效应显著性检验得到鉴定年份和群别对数据集1和数据集2中所有性状均极显著（P < 0.01），出生类型对体重和数据集1中产毛量极显著（P < 0.01），性别仅对体重反应极显著（P < 0.01）。②各模型估计的体重遗传力为0.1614~0.2392；产毛量遗传力为0.1958~0.3254；净毛率遗传力为0.4395~0.5539；净毛量遗传力为0.2003~0.2393；羊毛纤维直径遗传力为0.4024~0.5897；羊毛纤维直径变异系数遗传力为0.3174~0.6077；毛长遗传力为0.2960~0.3669。③似然比检验结果表明，模型1和模型3对所有性状差异均不显著（P > 0.05）；模型1和模型4对体重和毛长差异极显著（P < 0.01）；模型2和模型3对净毛量差异极显著（P < 0.01），对其他性状差异不显著（P > 0.05）；模型2和模型4对所有性状差异不显著（P > 0.05）。最终得到对净毛量最适模型为模型1，体重、产毛量、净毛率、羊毛纤维直径、羊毛纤维直径变异系数、毛长的最适模型为模型2。所有性状受个体永久环境影响均不显著（P > 0.05）。基于最适模型估计高山美利奴羊（14月龄）体重、产毛量、净毛率、净毛量、羊毛纤维直径、羊毛纤维直径变异系数、毛长遗传力分别为0.2392、0.3254、0.4394、0.2893、0.4222、0.3175、0.3670。  相似文献   

15.
Genetic parameters for prolificacy traits for Columbia (COLU), Polypay (POLY), Rambouillet (RAMB), and Targhee (TARG) breeds of sheep were estimated with REML using animal models. Traits were number of live births (LAB), litter size at birth (LSB) and weaning (LSW), and litter weight weaned (LWW). Numbers of observations ranged from 5,140 to 7,095 for prolificacy traits and from 5,101 to 8,973 for litter weight weaned for the four breeds. For single-trait analyses, ewes were classified as young (1 yr old), middle-aged (2 and 3 yr old), or older (> 3 yr old). After single-trait analyses, three-trait analyses were done for each characteristic with traits defined by age class. Generally, heritability estimates from single-trait analyses were low and ranged from .01 to .17 for LAB and LSB and from .00 to .10 for LSW. Heritability estimates obtained for LWW ranged from low to moderate (.00 to .25) and were less for older ewes. Heritability estimates from the three-trait analyses were generally similar to estimates from single-trait analyses. Heritabilities for LAB and LSB were similar, and, for three-trait analyses, they ranged across age groups from .07 to .13 for COLU, .13 to .16 for POLY, .10 to .16 for RAMB, and .01 to .16 for TARG. Estimates for LSW from three-trait analyses ranged from .07 to .12 for COLU, .04 to .09 for POLY, .01 to .11 for RAMB, and .03 to .11 for TARG. For LWW, heritabilities ranged from .00 to .21 for COLU, .05 to .08 for POLY, .12 to .15 for RAMB, and .18 to .29 for TARG. Genetic correlations for LAB, LSB and LSW among age-defined traits ranged from .25 to 1.00. Genetic correlations for LAB and LSB between young and middle and between young and older age classes were less than .80 in COLU, POLY, and RAMB breeds. Only genetic correlations between middle and older age classes for these breeds were greater than .80. For TARG, genetic correlations among all age classes were greater than .80 (.88 to 1.00) for those traits. All genetic correlations among ages for LSW were greater than .80 for POLY and TARG. For RAMB, only the correlation between young and older age classes for LSW was less than .80 (.45). None was greater than .80 for COLU. For LWW, genetic correlations among all age classes in POLY and RAMB were greater than .80 (.82 to 1.00). For COLU, genetic correlation between young and middle was low (.07), between young and older was high (.88), and between middle and older classes was moderately high (.54). For TARG, genetic correlations were .49, .65, and .98 for young-middle, young-older, and middle-older age classes, respectively. Results indicate that more progress could be made in selection programs for prolificacy traits in some sheep breeds by considering age of ewe as a part of the trait rather than by simply adjusting for ages of ewes.  相似文献   

16.
本文应用通径分析方法对247只1岁母羊的资料整理分析,研究了体长、体重、污毛量等10余项数量性状间的相关关系,结果发现被毛密度、体侧部毛油汗浸润高度、剪毛前体重、体侧部毛长和腹部毛着生是影响产毛量的主要性状,并提出用这五个性状估测产毛量的预测方程和在若干经济性状选择中应注意的事项。  相似文献   

17.
An experiment was carried out to study direct and indirect responses to selection in the Angora rabbit. There were two selection lines, one selected for high fleece weight and the other for low fleece weight. Data from 669 female rabbits born in 1994–2001 and having produced a total of 2923 harvest of wool were analysed to quantify the correlated responses to selection. By 2001, there had been eight cohorts of selection. The correlated responses analysed included compression, resilience, fleece quality traits (bristle and down length, average fibre diameter, comfort factor, bristle diameter) and secondary to primary follicle ratio (S/P). Genetic correlations were obtained by restricted maximum likelihood techniques. In response to selection, a positive difference of 0.92, 0.21 and 0.55 genetic standard deviation were observed for bristle length, comfort factor and S/P, respectively. No correlated response was observed on down length while negative differences of 1.00, 1.31, 0.38 and 0.50 genetic standard deviations were observed for compression, resilience, bristle diameter and average fibre diameter, respectively. Selection for increasing total fleece weight results in an increase of qualitative component traits of wool production in the French Angora rabbit. The quantitative traits were examined in the first (published) part of the paper.  相似文献   

18.
Summary Data from seven research resource flocks across Australia were combined to provide accurate estimates of genetic correlations among production traits in Merino sheep. The flocks represented contemporary Australian Merino fine, medium and broad wool strains over the past 30 years. Over 110 000 records were available for analysis for each of the major wool traits, and 50 000 records for reproduction and growth traits with over 2700 sires and 25 000 dams. Individual models developed from the single trait analyses were extended to the various combinations of two-trait models to obtain genetic correlations among six wool traits [clean fleece weight (CFW), greasy fleece weight, fibre diameter (FD), yield, coefficient of variation of fibre diameter and standard deviation of fibre diameter], four growth traits [birth weight, weaning weight, yearling weight (YWT), and hogget weight] and four reproduction traits [fertility, litter size, lambs born per ewe joined, lambs weaned per ewe joined (LW/EJ)]. This study has provided for the first time a comprehensive matrix of genetic correlations among these 14 wool, growth and reproduction traits. The large size of the data set has also provided estimates with very low standard errors. A moderate positive genetic correlation was observed between CFW and FD (0.29 ± 0.02). YWT was positively correlated with CFW (0.23 ± 0.04), FD (0.17 ± 0.04) and LWEJ (0.58 ± 0.06), while LW/EJ was negatively correlated with CFW (−0.26 ± 0.05) and positively correlated with FD (0.06 ± 0.04) and LS (0.68 ± 0.04). These genetic correlations, together with the estimates of heritability and other parameters provide the basis for more accurate prediction of outcomes in complex sheep-breeding programmes designed to improve several traits.  相似文献   

19.
The effect of regular selenium supplementation on the body weight, wool production and mortality of young Merino sheep was investigated. Groups of Se-treated and control sheep involving from 260–500 on each of 15 farms were observed from six weeks to 19 months of age. Ten mg Se as sodium hydrogen selenite was administered orally to the treated sheep at two-monthly intervals. Treated and control sheep grazed together throughout the trial period. Statistically significant responses to selenium were recorded in body weight gains on four farms, in decreased mortality on five farms and as an increase in fleece weight on eight farms. The response in fleece weight varied from 2.9-7.6% and could not be explained as a result of increased body weight. The increase in fleece weight was not due to an increase of grease in the wool but appeared to be due to an increase in fibre diameter and to a lesser extent an increase in staple length. A statistically significant decrease in the incidence of tender fleeces as a result of selenium supplementation was also recorded. All farms on which responses to selenium were obtained were in areas with average annual rainfall more than 20 inches. On two farms selenium caused statistically significant depressions in the parameters measured. Both farms were in areas with less than 20 inches average annual rainfall.  相似文献   

20.
Analyses of birth and weaning weights, fleece weights of ewes, and number born per litter of Polypay sheep collected at the U.S. Sheep Experimental Station from 1978 through 1998, confirmed previous analyses of three other dual-purpose breeds that cytoplasmic effects do not contribute to variation in these four traits. In general, estimates of genetic parameters that would be needed for national genetic evaluation were similar to previous estimates for Columbia, Rambouillet, and Targhee sheep, although estimates of direct heritability for Polypay were somewhat less for birth weight, slightly greater for weaning weight, significantly greater for fleece weight, and the same for number born as for those three breeds. For birth weight only, evidence was found for important dam x year or dam x number born interactions, which are essentially litter effects, as was found for the other dual-purpose breeds. There were 11,896, 11,104, 7,748, and 7,831 records for birth and weaning weights, fleece weight, and number born per litter, with 255 to 316 sires of animals with records. There were 260 and 261 cytoplasmic lines for fleece weight and number born, and 861 and 882 for weaning and birth weights.  相似文献   

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