已入深夜,您辛苦了!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!祝你早点完成任务,早点休息,好梦!

4 Heritability Estimations for Intramuscular Fat in Hereford Cattle Using Random Regressions.

遗传力 统计 随机效应模型 线性回归 数学 回归 回归分析 限制最大似然 协变量 多项式回归 逻辑回归 生物 最大似然 遗传学 医学 内科学 荟萃分析
作者
Jose S Delgadillo Liberona,J M Langdon,David G. Riley,Harvey D. Blackburn,Scott E Speidel,Bethany Krehbiel,Stacy Sanders,A. D. Herring
出处
期刊:Journal of Animal Science [Oxford University Press]
卷期号:96 (suppl_1): 2-3
标识
DOI:10.1093/jas/sky027.004
摘要

Random regressions make genetic predictions and parameter estimates possible across environmental gradients, which might possibly allow more accurate identification and beneficial use of breeding animals in specific environments. The objective of this study was to use random regression models for the estimation of heritability of intramuscular fat (IMF) in Hereford cattle, across a longitudinal gradient in the United States. Records were obtained from the American Hereford Association (n = 169,440) that included pedigree information from 227,902 animals. Three models were evaluated using ASReml: a quadratic random regression, a linear random regression, and a model without random regression. For all models, the fixed component involved the effects of contemporary group and ecoregion, where ecoregions were defined based on temperature and humidity designations across the United States. The random component considered the random effect of the animal itself, or as interacting with a linear or quadratic regression, using the longitude coordinates where the animal was reared as the regressor variable. The fit of the models was evaluated through likelihood-ratio tests, where the quadratic regression model proved to have significant advantages in comparison to the rest (P < 0.01). Heritability estimates using the quadratic model ranged from 0.31 to 0.54, having maximum value at the western coordinate evaluated (124.09 degrees west). Then, advancing from west to east the IMF heritability decreased reaching its minimum value at 99 degrees west. Furthermore, the heritability began to increase again, reaching values around 0.47 at the eastern coordinate evaluated (71.47 degrees west). These results indicate that quadratic random regressions may make improved parameter estimations and therefore improved genetic predictions for IMF in American Hereford cattle. This information may help to generate more precise selection indexes across different sectors of the United States. It may be possible that estimate differences could also occur for other economically relevant traits and other breeds, and further research is needed for this phenomenon.

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
1秒前
Jason完成签到,获得积分10
1秒前
乐乐应助缥缈蜗牛采纳,获得10
2秒前
霖晚发布了新的文献求助10
2秒前
maomao完成签到 ,获得积分10
3秒前
少侠饶命完成签到,获得积分10
3秒前
王缪芸完成签到,获得积分20
4秒前
YZChen完成签到,获得积分10
4秒前
4秒前
5秒前
6秒前
7秒前
骑着蜗牛追导弹完成签到,获得积分10
7秒前
Jason发布了新的文献求助10
7秒前
李爱国应助醉熏的雪莲采纳,获得10
9秒前
冷酷代玉发布了新的文献求助10
10秒前
JamesPei应助科研通管家采纳,获得10
13秒前
13秒前
搜集达人应助科研通管家采纳,获得10
13秒前
Kao应助科研通管家采纳,获得10
13秒前
13秒前
15秒前
Owen应助冷酷代玉采纳,获得10
16秒前
橙色小瓶子完成签到,获得积分0
20秒前
隐形的书雁完成签到 ,获得积分10
22秒前
光亮雨完成签到 ,获得积分10
24秒前
26秒前
不安访风完成签到 ,获得积分10
27秒前
羊肉沫发布了新的文献求助10
28秒前
32秒前
桐桐应助鲤鱼大神采纳,获得10
33秒前
OK应助科研啦采纳,获得50
35秒前
小喵不上课完成签到 ,获得积分10
38秒前
39秒前
obsession完成签到 ,获得积分10
39秒前
缥缈蜗牛发布了新的文献求助10
42秒前
周周周完成签到 ,获得积分10
44秒前
李爱国应助mirutio采纳,获得30
46秒前
豆花完成签到,获得积分10
48秒前
1499yqq完成签到 ,获得积分10
48秒前
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
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 590
Évora na Idade Média 555
Soil mites of the family Rhagidiidae (Actinedida: Eupodoidea). Morphology, Systematics, Ecology 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Radical Reactions 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 7369355
求助须知:如何正确求助?哪些是违规求助? 8977138
关于积分的说明 19086432
捐赠科研通 7012455
什么是DOI,文献DOI怎么找? 3224834
关于科研通互助平台的介绍 2388175
邀请新用户注册赠送积分活动 2205430