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Genome-wide prediction method and device based on random forest model

A random forest model and genome-wide technology, applied in the field of genome-wide prediction methods and devices based on random forest models, can solve problems such as omissions and incomplete genetic factors, and achieve the effect of reducing uncertainty and improving the success rate of breeding

Active Publication Date: 2021-03-23
隆平农业发展股份有限公司 +3
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Problems solved by technology

However, the prediction of breeders depends on the accumulation of long-term practice experience. Different breeders have different experiences and different emphases. The genetic factors involved in the prediction may not be comprehensive, and some combinations with potential will be missed.

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  • Genome-wide prediction method and device based on random forest model
  • Genome-wide prediction method and device based on random forest model
  • Genome-wide prediction method and device based on random forest model

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Embodiment Construction

[0024] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0025] figure 1 The schematic flow chart of the genome-wide prediction based on the random forest model provided by the embodiment of the present invention, such as figure 1 As shown, the method includes:

[0026] S101. Obtain the genotype data of the hybrid species to be predicted;

[0027] S102. According to the pre-established random forest ...

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Abstract

An embodiment of the invention provides a whole genome predicting method based on a random forest model and a device. The method comprises 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 forest model and the genotype data of the hybrid breed, and obtaining a predicting method of the phenotype data; and through combining a breeding resource and scale, according to the predicating result of the phenotype data, selecting a candidate hybrid combination with high yield potential. According to the predicting method of the invention, the phenotype of the hybrid breed can be estimated according to the parent genotype, thereby predicting the phenotype data, and further recommending the hybrid combination with the high yield potential.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of breeding, and in particular to a whole genome prediction method and device based on a random forest model. Background technique [0002] The main goal of crop breeding is to develop new varieties that perform better than existing varieties on the market. Hybrid breeding using heterosis can produce hybrids that perform better than their parents. The promotion and application of hybrid rice and hybrid corn have increased food production and contributed to global food security. [0003] In the process of cross-breeding, it is necessary to obtain a large number of hybrids through hybridization, and perform multiple rounds of multi-level screening in the field, and then conduct multi-year and multi-point tests to finally obtain new varieties that meet human expectations as much as possible. The agronomic traits of the hybrid offspring of random parents are unknown and uncertain to a...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16B25/00
Inventor 邹继军钟敬林海艳傅军杨世超杨益民黄喆杜海萧李可伊凡·舒斯特尔王冰冰
Owner 隆平农业发展股份有限公司