育种值相关的专利数据

序号	专利名	申请号	申请日	公开（公告）号	公开（公告）日	发明人
41	一种改良棉花纤维长度、纤维强度和马克隆值的分子育种方法	CN201110127252.7	2011-05-17	CN102229982B	2012-11-07	张天真; 王鹏; 郭旺珍; 曹志斌
本发明涉及一种改良棉花纤维长度、纤维强度和马克隆值的分子育种方法，专用于农作物（棉花）定向改良农艺性状和新品种的选育。通过对海岛棉染色体片段导入系进行棉纤维品质检测，筛选出纤维长度、纤维强度显著增加且马克隆值显著降低的导入系IL080-D6-1。以此导入系为非轮回亲本，新疆棉区品种新陆早38号为轮回亲本，进行杂交，回交2代且自交3代并辅以分子标记辅助选择获得纤维长度、纤维强度和马克隆值优良的棉花新品系。利用这一方法，已经培育出优质、高产的棉花新品系“南农海导2号”。
42	一种利用海岛棉染色体片段导入系改良棉花马克隆值的分子育种方法	CN201110127227.9	2011-05-17	CN102229980A	2011-11-02	张天真; 王鹏; 郭旺珍; 曹志斌
本发明一种利用海岛棉染色体片段导入系改良棉花马克隆值的分子育种方法，专用于农作物（棉花）定向改良农艺性状和新品种的选育。通过对海岛棉染色体片段导入系进行棉纤维品质检测，筛选出马克隆值显著低于对照TM-1的导入系IL056-A5-7。以此导入系为非轮回亲本，新疆棉区推广品种新陆早41号为轮回亲本，进行杂交，回交2代且自交3代并辅以分子标记辅助选择获得马克隆值优良的棉花新品系。利用这一方法，已经培育出优质、高产的棉花新品系“南农海导4号”。
43	一种基于MCP稀疏深层神经网络模型估计水产动物基因组育种值的方法	CN202210337624.7	2022-04-01	CN114639446A	2022-06-17	王扬帆; 王孟秋; 倪萍; 侯虎; 胡景杰; 包振民
本发明提供一种基于MCP稀疏深层神经网络模型估计水产动物基因组育种值的方法，针对SNP直接加性和互作上位效应利用基于最小最大凹度惩罚函数(MCP)正则化稀疏深层神经网络(DNN‑MCP)模型估计水产动物基因加性效应及非线性上位效应，并解析生长或抗逆性状进行基因组育种值估计。通过深层神经网络(DNN)模型进行MCP正则化约束，压缩基因互作较小SNP效应DNN‑MCP模型的稀疏结构，最终求得深层稀疏结构MCP‑DNN的输出结果，解决因SNP互作效应引起参数“高维灾难”，导致深层神经网络(DNN)过度拟合问题，进而显著提高基因组育种值估计的准确性。
44	一种利用海岛棉染色体片段导入系改良棉花马克隆值的分子育种方法	CN201110127227.9	2011-05-17	CN102229980B	2013-01-02	张天真; 王鹏; 郭旺珍; 曹志斌
本发明一种利用海岛棉染色体片段导入系改良棉花马克隆值的分子育种方法，专用于农作物（棉花）定向改良农艺性状和新品种的选育。通过对海岛棉染色体片段导入系进行棉纤维品质检测，筛选出马克隆值显著低于对照TM-1的导入系IL056-A5-7。以此导入系为非轮回亲本，新疆棉区推广品种新陆早41号为轮回亲本，进行杂交，回交2代且自交3代并辅以分子标记辅助选择获得马克隆值优良的棉花新品系。利用这一方法，已经培育出优质、高产的棉花新品系“南农海导4号”。
45	一种基于MCP稀疏深层神经网络模型估计水产动物基因组育种值的方法	CN202210337624.7	2022-04-01	CN114639446B	2024-03-15	王扬帆; 王孟秋; 倪萍; 侯虎; 胡景杰; 包振民
本发明提供一种基于MCP稀疏深层神经网络模型估计水产动物基因组育种值的方法，针对SNP直接加性和互作上位效应利用基于最小最大凹度惩罚函数(MCP)正则化稀疏深层神经网络(DNN‑MCP)模型估计水产动物基因加性效应及非线性上位效应，并解析生长或抗逆性状进行基因组育种值估计。通过深层神经网络(DNN)模型进行MCP正则化约束，压缩基因互作较小SNP效应DNN‑MCP模型的稀疏结构，最终求得深层稀疏结构MCP‑DNN的输出结果，解决因SNP互作效应引起参数“高维灾难”，导致深层神经网络(DNN)过度拟合问题，进而显著提高基因组育种值估计的准确性。
46	一种快速稳定的动物个体基因组育种值评估方法	PCT/CN2019/071514	2019-01-14	WO2020133588A1	2020-07-02	赵书红; 刘小磊; 杨翔; 李新云; 朱猛进; 项韬; 马云龙; 余梅; 王志全; 尹立林
一种快速稳定的动物个体基因组育种值评估方法，涉及动物育种技术领域。该方法采用HIBLUP使用表型、基因型和谱系信息进行基因组育种值的预测，最终输出中包括估计的个体遗传价值、每个个体的加性效应和显性效应值以及用于基因分型芯片中的每个遗传标记效应的反向解析值。该方法全面利用谱系、表型和基因型信息来预测每个动物的遗传价值以及每个SNP标记位点的效应值，实现最先进的基因组育种值的预测和方差组分估计算法而实现基因组选择。
47	Method of increasing the economic value of breeding stock semen	US802889	1985-11-29	US4764373A	1988-08-16	Ronald J. Ericsson
Method of artificially inseminating a plurality of animals with aliquots of sperm obtained from a breeding stock individual of that species, obtained by fractionating the collected semen into first and second motile-sperm containing fractions, the first of which is free from immotile sperm and non-sperm components, both suspended in a liquid vehicle which is physiologically acceptable to the sperm and for artificial insemination; dividing the first and second fractions into a plurality of aliquots, each of which contain enough motile sperm to ensure a pregnancy when used for an artificial insemination; artificially inseminating a plurality of individuals of that species in which a predominance of male offspring is desired with the aliquots of the first fraction; and artificially inseminating a plurality of individuals of that species in which a predominance of male offspring is not a desired objective with the aliquots of the second fraction.
48	Process predicting the value of a phenotypic trait in a plant breeding program	US09357511	1999-07-13	US06455758B1	2002-09-24	Glenn Richard Johnson
This invention relates to a method for improving the efficacy of a plant breeding program which has as its goal to selectively alter phenotypic traits that are capable of being described numerically and are under the control of quantitative trait loci (QTLs). The method combines the newer techniques of molecular biology with modifications of classical pedigree breeding strategies. Progeny performance is predicted on the basis of at least one secondary trait, facilitating selection strategies. In particular, regression estimates are obtained by determining the relationship between selected inherited marker loci and quantitative phenotypic trait values in predictor populations, and used in combination with inherited marker profiles of plants, to implement a selection strategy in related populations.
49	METHODS FOR DETERMINING A BREEDING VALUE BASED ON A PLURALITY OF GENETIC MARKERS	EP09776262.9	2009-08-19	EP2342665A1	2011-07-13	SANDØ LUND, Mogens; SU, Guosheng; GULDBRANDTSEN, Bernt
The present invention provides a method for determining the individual effect of a plurality of genetic marker alleles on udder health, fertility and/or other health of a plurality of reference bovine subjects. The marker effects are employed in another aspect of the invention for determining a genomic estimated breeding value of a bovine subject based on the genotype of said bovine subject by correlating its genotype with the effect of each individual genetic marker allele on udder health, fertility, other health and/or estimated breeding value of the reference bovine subjects. Further provided are methods and computer program products and computer readable media for executing the methods of the invention.
50	IMPROVED MIXTURE OF USEFUL MATERIALS FOR STOCK CULTURE IN SOILS THAT ARE INFECTED WITH NEMATODES	PCT/EP9907859	1999-10-16	WO0024258A8	2000-08-10	KOPP-HOLTWIESCHE BETTINA; BELL DORIS; FUES JOHANN-FRIEDRICH; VON TAPAVICZA STEPHAN; SIKORA RICHARD A; SCHUSTER RALF-PETER; HALLMANN JOHANNES
Disclosed is the use of (a) phosphorus compounds containing at least partially lipophilic organic radicals with (b) urea and/or urea derivatives in selected ratios (a): (b). According to the invention, (c) oligomer and/or polymer chitosans are added in a simultaneous or time-variable manner in a preferably aqueous form of preparation as an additive to the soil for biological control of phytoparasitic nematodes in said soil by reinforcing the antagonistic potential of the soil, especially by reinforcing the growth of antagonistic and/or nematicide rhizospheric bacteria and/or corresponding strains of myccorhiza, while at the same time reinforcing the growth of indigenous stock cultures. The mixtures of useful materials that reinforce bacterial growth are introduced into the root area of plants in the form of a preferably aqueous preparation using phytocompatible emulsifiers before and during stock culture. Subclass constituents are used in specific ratios, whereby the weight ratio of C: N does not exceed 6 and, preferably, does not exceed 5.
51	VERBESSERTES WERTSTOFFGEMISCH FÜR DIE PFLANZENAUFZUCHT IN BÖDEN MIT NEMATODENBEFALL	EP99952593.4	1999-10-16	EP1124423A1	2001-08-22	KOPP-HOLTWIESCHE, Bettina; BELL, Doris; FUES, Johann-Friedrich; VON TAPAVICZA, Stephan; SIKORA, Richard, A.; SCHUSTER, Ralf-Peter; HALLMANN, Johannes
Disclosed is the use of (a) phosphorus compounds containing at least partially lipophilic organic radicals with (b) urea and/or urea derivatives in selected ratios (a): (b). According to the invention, (c) oligomer and/or polymer chitosans are added in a simultaneous or time-variable manner in a preferably aqueous form of preparation as an additive to the soil for biological control of phytoparasitic nematodes in said soil by reinforcing the antagonistic potential of the soil, especially by reinforcing the growth of antagonistic and/or nematicide rhizospheric bacteria and/or corresponding strains of myccorhiza, while at the same time reinforcing the growth of indigenous stock cultures. The mixtures of useful materials that reinforce bacterial growth are introduced into the root area of plants in the form of a preferably aqueous preparation using phytocompatible emulsifiers before and during stock culture. Subclass constituents are used in specific ratios, whereby the weight ratio of C: N does not exceed 6 and, preferably, does not exceed 5.
52	METHOD FOR ESTIMATING A BREEDING VALUE FOR AN ORGANISM WITHOUT A KNOWN PHENOTYPE	EP08705085.2	2008-01-09	EP2118793A1	2009-11-18	CALUS, Mario, Pieter, Lea; MEUWISSEN, Theodorus, Hendrikus, Elisabeth; WINDIG, Johannes, Jacob; VEERKAMP, Roel, Franciscus
Method for estimating a breeding value for a first organism without a known phenotype, comprising estimating a plurality of reference breeding values for a plurality of haplotypes of a plurality of second organisms, wherein a phenotype and a genotype of each of the second organisms of the plurality of second organisms are at least partially known, storing the plurality of estimated reference breeding values for the plurality of haplotypes, and estimating the breeding value for the first organism on the basis of at least a part of a genotype of the first organism and the stored plurality of estimated reference breeding values for the plurality of haplotypes.
53	유전자 선발을 통한 추정된 육종가를 산출하는 방법 및 유전자 선발 모형 생성 방법	KR1020120055068	2012-05-23	KR101380082B1	2014-04-01	이정란; 이진우; 박민수; 오희석; 김희발
본 발명은 추정된 육종가를 산출하기 위한 유전자 선발 모형 생성 방법 및 이를 이용한 추정 육종가 산출 방법에 관한 것으로서, 더욱 상세하게는, 경주 기록 및 혈통정보가 없는 새로운 말에 대해서도 유전체 선발을 통해 육종가를 추정할 수 있도록, 유전자 정보를 이용하여 추정 육종가를 산출하는 방법을 제안한다. 본 발명은 유전자와 같은 고차원의 자료에 적용된 바가 없는 SIS 모형을 적용하여 설명력과 예측력이 좋은 유전자를 선별하고, 가장 적합한 모형의 벌점 함수를 통해 가중치를 산정하여 추정 육종가를 산출할 수 있다.
54	유전자 선발을 통한 추정된 육종가를 산출하는 방법 및 유전자 선발 모형 생성 방법	KR1020120055068	2012-05-23	KR1020130131187A	2013-12-03	이정란; 이진우; 박민수; 오희석; 김희발
The present invention relates to a genomic selection model generating method for calculating an estimated breeding value and an estimated breeding value calculating method using the same, more specifically, to a method for calculating an estimated breeding value using genomic information to estimate a breeding value through genomic selection even for a new horse with no race record and no pedigree information. The present invention selects a genome with good explanation ability and prediction ability by applying an SIS model which is never applied to high level data such as a genome, and calculates an estimated breeding value by calculating a weight through a penalty function of a most suitable model.
55	경주능력 관련 SNPs로 구축된 회귀모형을 이용한 경주마 유전체 육종가의 예측방법 및 이를 이용한 우수한 경주마 선발방법	KR1020130168153	2013-12-31	KR1020150078620A	2015-07-08	이진우; 김희발; 신동현
본발명은경주능력관련 SNPs로구축된회귀모형을이용한경주마유전체육종가예측방법및 이를이용한우수한경주마선발방법에관한것으로, 보다상세하게는말의 SNP chip을통해확인된 SNPs의유전자형과주파기록(racing time)의추정육종가(estimated breeding value, EBV)를비교하는유전체연관분석(Genome wide association studies, GWAS)을통해말의경주능력과관련된 SNPs를선발하고, 상기선발된 SNPs 중다수가근육조성과관련된유전자내에위치하고있음을확인하였다. 이를이용하여경주마선발을위한회귀모형을개발함으로써, 표현형에만의존하던고전적인경주마선발방법에서벗어나, 분자유전학적기술을바탕으로경주능력이우수한말을조기에선발할수 있는기반을제공하고자한다. 본발명에의한경주능력관련유전체육종가예측회귀모형및 이를통한경주마선발방법은, 근육조성과관련된 SNPs를이용해구축된회귀모형으로유전체육종가를산출할수 있으며, 유전체육종가를추정육종가와함께사용시선발의정확도를높일수 있다. 따라서, 본발명에의한유전체육종가예측회귀모형을이용함으로써, 매년 20~40억원의씨수말을수입하는데있어서후보씨수말을평가하는데유용하게활용될수 있고, 특히유전자정보를이용하여평가하기때문에생산실적이없는검증되지않은씨수말의도입시, 성공가능성을증대시킬수 있어경주마개량에기여할수 있는효과가있다.
56	경주능력 관련 SNPs로 구축된 회귀모형을 이용한 경주마 유전체 육종가의 예측방법 및 이를 이용한 우수한 경주마 선발방법	KR1020130168153	2013-12-31	KR101568352B1	2015-11-12	이진우; 김희발; 신동현
본발명은경주능력관련 SNPs로구축된회귀모형을이용한경주마유전체육종가의예측방법및 이를이용한우수한경주마선발방법에관한것으로, 보다상세하게는말의 SNP chip을통해확인된 SNPs의유전자형과주파기록(racing time)의추정육종가(estimated breeding value, EBV)를비교하는유전체연관분석(Genome wide association studies, GWAS)을통해말의경주능력과관련된 SNPs를선발하고, 상기선발된 SNPs 중다수가근육조성과관련된유전자내에위치하고있음을확인하였다. 이를이용하여경주마선발을위한회귀모형을개발함으로써, 표현형에만의존하던고전적인경주마선발방법에서벗어나, 분자유전학적기술을바탕으로경주능력이우수한말을조기에선발할수 있는기반을제공하고자한다.본발명에의한경주능력관련유전체육종가예측회귀모형및 이를통한경주마선발방법은, 근육조성과관련된 SNPs를이용해구축된회귀모형으로유전체육종가를산출할수 있으며, 유전체육종가를추정육종가와함께사용시선발의정확도를높일수 있다. 따라서, 본발명에의한유전체육종가예측회귀모형을이용함으로써, 매년 20~40억원의씨수말을수입하는데있어서후보씨수말을평가하는데유용하게활용될수 있고, 특히유전자정보를이용하여평가하기때문에생산실적이없는검증되지않은씨수말의도입시, 성공가능성을증대시킬수 있어경주마개량에기여할수 있는효과가있다.
57	一种基于智能化的奶山羊育种情况监控管理系统	CN202410033698.0	2024-01-09	CN117852824A	2024-04-09	诺苏雅拉图; 吴志红; 海尔汗; 阿木尔萨那; 朝格日勒图; 王建光; 王忠华
本发明提供了一种基于智能化的奶山羊育种情况监控管理系统，涉及育种管理领域，包括：标签数据模块，用于获得可育种公羊的繁育数据和可育种母羊的繁育数据；遗传值计算模块，用于基于可育种公羊和可育种母羊的繁育数据计算出可育种公羊和可育种母羊的遗传值；育种矩阵构建模块，用于基于可育种公羊的遗传值和可育种母羊的遗传值构建公羊育种矩阵和母羊育种矩阵；育种选配模块，用于基于所有公羊育种矩阵和所有母羊育种矩阵获得每个可育种母羊的最佳配对可育种公羊；监控管理模块，用于对所有可育种公羊和可育种母羊进行育种监控和控制。本发明实现了在实现最好育种效果的前提下，从育种基地的大量可育种羊中选出可育种母羊的最佳交配对象。
58	水产动物选择指数制定方法及选择育种方法	CN202310272856.3	2023-03-20	CN116364184A	2023-06-30	隋娟; 栾生; 孔杰; 代平; 孟宪红; 罗坤; 曹家旺; 谭建; 傅强; 陈宝龙
本发明公开了一种水产动物选择指数制定方法及选择育种方法，解决现有技术制定选择指数存在的不利于制定配种方案以及影响选择育种的准确性和可靠性的问题。所述水产动物选择指数制定包括：获取所有个体或家系的所有育种目标性状的测定值以及所有个体或家系的近交系数；根据所述测定值，获取每个性状的育种值、每个性状的平均育种值以及育种值标准差；根据所述近交系数确定所有个体或家系的平均近交系数和近交系数标准差；计算性状标准化育种值;计算标准化近交系数；根据所述性状标准化育种值和所述标准化近交系数，计算综合育种值；根据所述综合育种值确定选择指数。
59	一种基于无人机遥感影像的玉米出苗率计算方法及装置	CN201710114822.6	2017-02-28	CN107016674A	2017-08-04	苏伟; 张蕊; 吴代英; 刘哲; 张明政; 朱德海; 黄健熙
本发明提供一种基于无人机遥感影像的玉米出苗率计算方法及装置，该方法包括：对全局育种玉米植株航拍影像，进行超绿特征灰度运算和二值化处理，得到二值图像；对所述二值图像，分别分割出每一垄育种玉米植株，得到对应的二值图像条，并对所述二值图像条分别在单棵育种玉米植株方向上进行投影，得到对应的直方图；计算每个所述直方图各投影点的灰度累加值的平均值，并比较所述平均值和所述各投影点的灰度累加值，确定全局育种玉米植株航拍影像中所含育种玉米植株数目；根据全局育种玉米植株航拍影像范围内播撒种子数和影像中所含育种玉米植株数目，计算所述育种玉米植株出苗率。本发明实现了省力、高效和精确的育种玉米植株出苗率计算。
60	中国对虾多性状育种制定选择指数方法	CN200610070100.7	2006-11-14	CN100425129C	2008-10-15	栾生; 孔杰; 张勤
一种中国对虾多性状育种制定选择指数方法，该方法包括性状育种值标准化和选择指数的制定。是通过BLUP方法计算出个体或者家系每个性状的育种值后，对个体或者家系每个性状的育种值进行标准化，然后按照每个性状在育种目标中的重要性进行百分比加权赋值，每个性状标准化育种值与其百分比加权值的乘积和，即为选择指数。以选择指数为标准，就可以从高到低进行个体或者家系的选择。本发明适应于利用BLUP方法估计育种值的水产动物高级选择育种项目，尤其是针对多个性状的综合选育，能够快速、准确、有效的进行家系或者个体的选择。

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