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排序方式: 共有119条查询结果,搜索用时 15 毫秒
1.
利用SAS估计动物BLUP育种值 总被引:2,自引:0,他引:2
本文简要介绍了BLUP的数学背景、用于BLUP计算的SAS程序模块使用方法和2个计算BLUP的程序示例。 相似文献
2.
The impact of truncating data on the predictive ability for single‐step genomic best linear unbiased prediction
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Jeremy T. Howard Tom A. Rathje Caitlyn E. Bruns Danielle F. Wilson‐Wells Stephen D. Kachman Matthew L. Spangler 《Zeitschrift für Tierzüchtung und Züchtungsbiologie》2018,135(4):251-262
Simulated and swine industry data sets were utilized to assess the impact of removing older data on the predictive ability of selection candidate estimated breeding values (EBV) when using single‐step genomic best linear unbiased prediction (ssGBLUP). Simulated data included thirty replicates designed to mimic the structure of swine data sets. For the simulated data, varying amounts of data were truncated based on the number of ancestral generations back from the selection candidates. The swine data sets consisted of phenotypic and genotypic records for three traits across two breeds on animals born from 2003 to 2017. Phenotypes and genotypes were iteratively removed 1 year at a time based on the year an animal was born. For the swine data sets, correlations between corrected phenotypes (Cp) and EBV were used to evaluate the predictive ability on young animals born in 2016–2017. In the simulated data set, keeping data two generations back or greater resulted in no statistical difference (p‐value > 0.05) in the reduction in the true breeding value at generation 15 compared to utilizing all available data. Across swine data sets, removing phenotypes from animals born prior to 2011 resulted in a negligible or a slight numerical increase in the correlation between Cp and EBV. Truncating data is a method to alleviate computational issues without negatively impacting the predictive ability of selection candidate EBV. 相似文献
3.
Yasmin Vasques Berchembrock Ulisses José de Figueiredo José Airton Rodrigues Nunes Cacilda Borges do Valle Sanzio Carvalho Lima Barrios 《Grass and Forage Science》2020,75(2):145-152
Hybridization in the Urochloa humidicola breeding programme allowed to explore the genetic variability of the apomictic sources and, thus, to obtain new sexual and apomictic parents with compatible ploidy and/or superior progenies. However, given the high variability arising from crosses, there is a need to adopt efficient selection strategies among and within progenies. The aim of this study was to compare the selection methods among U. humidicola progenies with (t-BLUP) and without (BLUP) the weighting based on prediction error and subsequent selection within progenies by individual simulated (BLUPIS) or optimal individual BLUP. We evaluated seventy-one U. humidicola full-sib progenies from biparental crosses between nine sexual and ten apomictic parents. The experiment was set up in an incomplete block design with 64 blocks of 15 plots each, consisting of individual plants. Seven consecutive cuts were made and the traits total dry-matter, leaf dry-matter and regrowth scores were measured. Genetic variance was expressive for all traits. The selection procedure among progenies of U. humidicula based on t-BLUP proved to be more advantageous regarding the use of BLUP not weighted by the prediction error, resulting in higher selection gains, taking as reference the optimal procedure of the individual BLUP. Furthermore, the use of BLUPIS allowed an optimized selection of hybrids, allowing the breeder to explore with variable selection intensity the genetic variability within the selected full-sib progenies based on relative genetic merit. 相似文献
4.
[目的]奶牛繁殖性状的育种值估计及比较不同育种值估计方法的准确性。[方法]利用北京市8个黑白花奶牛群的头胎繁殖性状资料,用BLUP法估计了公牛繁殖力的育种值;利用20头公牛的2299条与配母牛头胎繁殖性状资料,估计了公牛雄性繁殖力的育种值;利用19头公牛的2001条女儿的头胎繁殖性状资料,估计了公牛雌性繁殖力的育种值。分别比较了考虑场、年、季之间互作效应的和未考虑场、年、季之间互作效应,用最小二乘法事先矫正了场、年、季效应这3种方法的育种值估计准确性。[结果]考虑场、年、季之间互作效应时的准确性最高,未考虑时的准确性最低。[结论]估计公牛繁殖性能的育种值时,应事先或模型中加以剔除这些固定效应。 相似文献
5.
W.M. Muir 《Zeitschrift für Tierzüchtung und Züchtungsbiologie》2007,124(6):342-355
Accuracy of prediction of estimated breeding values based on genome-wide markers (GEBV) and selection based on GEBV as compared with traditional Best Linear Unbiased Prediction (BLUP) was examined for a number of alternatives, including low heritability, number of generations of training, marker density, initial distributions, and effective population size (Ne). Results show that the more the generations of data in which both genotypes and phenotypes were collected, termed training generations (TG), the better the accuracy and persistency of accuracy based on GEBV. GEBV excelled for traits of low heritability regardless of initial equilibrium conditions, as opposed to traditional marker-assisted selection, which is not useful for traits of low heritability. Effective population size is critical for populations starting in Hardy-Weinberg equilibrium but not for populations started from mutation-drift equilibrium. In comparison with traditional BLUP, GEBV can exceed the accuracy of BLUP provided enough TG are included. Unfortunately selection rapidly reduces the accuracy of GEBV. In all cases examined, classic BLUP selection exceeds what was possible for GEBV selection. Even still, GEBV could have an advantage over traditional BLUP in cases such as sex-limited traits, traits that are expensive to measure, or can only be measured on relatives. A combined approach, utilizing a mixed model with a second random effect to account for quantitative trait loci in linkage equilibrium (the polygenic effect) was suggested as a way to capitalize on both methodologies. 相似文献
6.
EPD是在BLUP理论的基础上对种用动物遗传值估计的一种参数。EPD值是估计育种值的一半,它是一个容易理解和应用的种畜遗传传递力的值,能很直观地反映种畜价值在其后代中的体现。EPD主要是用在同一品种中2个不同个体间直接遗传效应的比较,从而预测在同一平均遗传值水平上种用动物未来子女的性能差异。EPD适用于动物的出生、发育、母性性状、屠宰性状以及其它特征性状的估计。EPD广泛应用于肉用种公牛价值的评定。对肉牛重要经济性状EPD估计后,以出版物和(或)计算机网络的方式发布,肉牛生产者根据自己的不同需要选用种牛或精液。作者对EPD的估计原理与应用作较为详细的论述。 相似文献
7.
针对陕北白绒山羊多性状选择育种研究处于起步阶段的现状,以动物模型BLUP法为核心的多性状复合育种技术体系为依托,在Windows XP平台下利用ASP技术和SQL Server 2000数据库开发了一套基于Web的陕北白绒山羊辅助育种管理系统-ABMS。该系统能实时地管理分布在不同地域种羊场的生产性能测定信息,并能方便地导入和导出选择性状的育种数据。ABMS在陕北白绒山羊种羊场实际应用中体现了技术先进、易于操作、网络化管理等特点,其推广和应用对实现种羊场育种工作和生产管理的自动化,具有极大的促进作用。 相似文献
8.
Impact of relationships between test and training animals and among training animals on reliability of genomic prediction
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X. Wu M.S. Lund D. Sun Q. Zhang G. Su 《Zeitschrift für Tierzüchtung und Züchtungsbiologie》2015,132(5):366-375
One of the factors affecting the reliability of genomic prediction is the relationship among the animals of interest. This study investigated the reliability of genomic prediction in various scenarios with regard to the relationship between test and training animals, and among animals within the training data set. Different training data sets were generated from EuroGenomics data and a group of Nordic Holstein bulls (born in 2005 and afterwards) as a common test data set. Genomic breeding values were predicted using a genomic best linear unbiased prediction model and a Bayesian mixture model. The results showed that a closer relationship between test and training animals led to a higher reliability of genomic predictions for the test animals, while a closer relationship among training animals resulted in a lower reliability. In addition, the Bayesian mixture model in general led to a slightly higher reliability of genomic prediction, especially for the scenario of distant relationships between training and test animals. Therefore, to prevent a decrease in reliability, constant updates of the training population with animals from more recent generations are required. Moreover, a training population consisting of less‐related animals is favourable for reliability of genomic prediction. 相似文献
9.
用混合模型BLUP法对山西瘦肉型猪新品系(SD Ⅰ系)选育过程中0~4世代40头公猪的447头后裔6月龄体重进行了遗传趋势评估。结果表明:群体平均育种值随世代的增加而增加,说明SD Ⅰ系猪选育过程中所采取的育种措施是有效的。各世代间环境条件基本一致,且除0世代外,对表型值都有正的效应。继续进行选育,6月龄体重尚有提高的可能。 相似文献
10.
应用BLUP法估计奶山羊产奶性能的遗传趋势 总被引:3,自引:0,他引:3
应用最佳线性无偏预测法(BLUP法)估计了西农莎能奶山羊(简称西农羊)群1960~1985年间的遗传趋势(Genetic Trend),结果为这26年间羊群产奶性能的平均遗传趋势等于7.2千克/年,表明过去对这群羊的选育是卓有成效的。 相似文献