Patent
Method for performing forest tree multiple-trait pyramiding breeding based on multiple-trait genomic selection
Yuanzhen Lin,Weihua Zhang,Zhang Xinfei,Ling Cheng,Zhang Xinxin,Zhou Wei +5 more
- 31 May 2017
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TL;DR: In this paper, a method for performing forest tree multiple-trait pyramiding breeding based on multiple-triggered genomic selection is presented, which has the benefits that the workload of forest tree trait phenotype determination can be reduced, and no lamination by the correlation degree between traits and markers exists.
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Abstract: The invention discloses a method for performing forest tree multiple-trait pyramiding breeding based on multiple-trait genomic selection. The method sequentially comprises the following steps: clonal individual phenotypic data acquisition; clonal pedigree information and A matrix construction or SNP marker typing data and G matrix construction; multiple-trait model establishment and data analysis. The method disclosed by the invention has the benefits that the workload of forest tree trait phenotype determination can be reduced, and no lamination by the correlation degree between traits and markers exists; compared with a conventional traditional progeny determination technology, multiple-trait orientation and accurate breeding can be realized, an obtained hybrid offspring have reliable productivity and genetic background, the forest tree multiple-trait pyramiding breeding period is significantly shortened, and no specific limitation on tree species and test forest types exists; the forest tree multiple-trait pyramiding breeding purpose can be quickly achieved; therefore, the application prospect is wide.
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Citations
Patent
A method for estimating genomic breeding value integrating dominance effects
Tianfei Liu,Qu Hao,Luo Chenglong,Wang Yan,Jian Ji,Shu Dingming +5 more
- 28 Dec 2018
TL;DR: In this article, a method for estimating the genomic breeding value for livestock and poultry genetic selection is presented, which can greatly improve the accuracy of genome estimation breeding value without increasing the complexity of the model.
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Forest genome selection method based on individual genetic competition and environmental space analysis and application thereof
Yuanzhen Lin,Weihua Zhang,Ziyang Zhang,Yan Liu,Wei Ruiyan +4 more
- 05 Feb 2021
TL;DR: In this article, a forest genome selection method based on individual genetic competition and environmental space analysis and application of the forest genomic selection method is presented. But the method is not suitable for the use in the field of agriculture.
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Whole genome predicting method based on random forest model and device
Zou Jijun,Zhong Jing,Lin Haiyan,Fu Jun,Yang Shichao,Yang Yimin,Huang Zhe,Du Haixiao,Li Ke,Ivan Shuster,Wang Bingbing +10 more
- 07 May 2019
TL;DR: In this article, a whole genome predicting method based on a random forest model and a device is presented, which consists of the steps of acquiring genotype data of a to-be-predicted hybrid breed; predicting the phenotype data a the hybrid combination progeny according to the pre-established random forests model and the genotype datasets of the hybrid breed, and obtaining a predicting method of the phenotypic data; and through combining a breeding resource and scale, according to a predicating result of phenotype data, selecting a candidate hybrid combination with high yield potential.
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Pedigree information simplification-based breeding method for selecting high-production performance a2a2 homozygous genotype dairy cattle
Li Jianbin,Li Jiao,Liu Wenjiao,Chai Shiming,Bao Peng,Xue Guanghui,Yang Jun,Zhong Jifeng +7 more
- 15 Aug 2019
TL;DR: In this paper, a pedigree information simplification-based breeding method for selecting high-production performance A2A2 homozygous genotype dairy cattle was proposed, by means of determining dairy cattle production performance, collecting individual pedigree data and phenotype data of dairy cattle, and combining a paternal β casein genotype result, carrying out genetic assessment to obtain the breeding values of milk yields, milk fat yield, milk protein yield, and milk protein percentage.
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High-density molecular-marker-assisted pyramiding breeding method based on core genealogy varieties
Wang Zhongrong,Zhou Shaochuan,Zhou Degui,Hong Li,Huang Daoqiang,Lai Suichun,Wang Zhidong,Chen Yibo,Wu Yukun +8 more
- 07 Aug 2018
TL;DR: In this article, a high-density molecular-marker-assisted pyramiding breeding method based on core genealogy varieties is proposed, which greatly reduces seed selection blindness and randomness, improves breeding efficiency and reduces breeding cost.
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