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Quantitative genetics

Genetics
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Using mathematical statistics and Mathematical analysis method Research Quantitative trait inheritance Of genetics Branch disciplines.
In 1909, Swedish geneticist H. Nilsson Heller put forward the polygene theory, which used Mendelian segregation of each pair of minor genes to explain the inheritance of quantitative traits. British statistician and geneticist R A. Fisher American geneticist S. Wright and British physiologist and geneticist J B. S. Haldane laid the theoretical foundation of quantitative genetics in the 1920s. In the 1940s, the American scholar J 50. Rush and K. Mather, a British quantitative geneticist, further developed the study of quantitative genetics, and K. Mather called it geneticism. Since the 1950s, along with probability theory linear algebra Multivariate statistics The gradual application of quantitative genetics and stochastic processes has made great progress in the content of quantitative genetics.
Chinese name
Quantitative genetics
Foreign name
Quantitative genetics
Classification
Genetics Branch subject
Application method
mathematical statistics And mathematical analysis
Major contributors
W. L. Johnson
Meaning
Enriched and enriched genetics and evolution

brief history

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In 1909, Swedish geneticist H. Nilsson Heller put forward the polygene theory, which used Mendelian segregation of each pair of minor genes to explain the inheritance of quantitative traits. British statistician and geneticist R A. Fisher American geneticist S. Wright and British physiologist and geneticist J B. S. Haldane laid the theoretical foundation of quantitative genetics in the 1920s. In the 1940s, the American scholar J 50. Rush and K. Mather, a British quantitative geneticist, further developed the study of quantitative genetics, and K. Mather called it geneticism. Since the 1950s, along with probability theory linear algebra Multivariate statistics The gradual application of quantitative genetics and stochastic processes has made great progress in the content of quantitative genetics. [1]

Research methods and contents

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Mainly used Biostatistics The method has a certain effect on the group Quantitative trait Carry out random sampling measurement and calculate average variance And mathematical analysis on this basis. According to Danish plant physiologist and geneticist W 50. Johansson's study specified quantitative traits Phenotypic value P is equal to the sum of genotype value G and environment value E; The average phenotypic value of the population is equal to the strong average genotype value (because the ∑ E of the population is 0); The genotype value is determined by the cumulative effect value A, dominant effect value D of genes and the Epistasis Effect value I composition. Thus, for a quantitative trait of a population genetic variation That is, it can be represented by the genetic variance VG, which is the cumulative variance VA Dominant variance The sum of VD and epistatic variance VI. If the interaction between environmental factors and genetic factors is not considered, the measured Phenotypic variation Of Phenotypic variance (VP) is equal to the genetic variance VG and Environmental variance The sum of VE can be written as the following formula:
VP=VG+VE=VA+VD+VI+VE According to this formula, as long as the environmental variance can be estimated (for example, it can be expressed by the variance of the pure line parent or the hybrid generation), the size of the genotypic variance in the representative variance of the segregation generation of the hybrid can be measured. On this basis, a series of instructive genetic parameters in breeding practice can also be estimated, such as Heritability Repetitive force genetic correlation Genetic progress And selection index, etc. These parameters can be used to analyze and predict Quantitative trait The genetic dynamics of variation can be used as a reference for animal and plant breeding.
Another important aspect of quantitative genetics is the study of various genetic mating designs (e.g Diallel cross , reincarnation selection, various kinds of animals Mating system And the genetic dynamics of quantitative traits in these mating designs. In addition, genotype The interaction with environment is also an important research topic of quantitative genetics in recent years. [1]

Correlation calculation

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Total variance P, variance Q of homozygous inbred lines, narrow heritability h2, environmental variance E, dominant genetic variance D, additive genetic variance A, broad heritability H2, Total genetic variance G, then E=Q/P=A; According to h2=D/(D+E); A=P-E-D;H2=(A+D)/(A+D+E); G=P-E。 [1]

Related concepts

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Heritability

Heritability, or heritability, is used to measure the proportion of a certain variation caused by genetic reasons (in terms of environmental impact) in the phenotypic variation in a population, which is used as a reference index for selection, so as to judge the possible degree of the variation of this trait to be transmitted to offspring. For example, the heritability of the birth weight of cows is 49% (see table), It shows that birth weight is largely determined by genetic factors, so it is more likely to succeed in breeding large cattle based on birth weight. On the contrary, the heritability of the pregnancy rate is 3%, which means that most of the pregnancy rate is not determined by genetic factors, so it is very unlikely to succeed in breeding prolific cows according to the pregnancy rate. Generalized heritability (h2B) is expressed as the ratio of genotypic variance to phenotypic variance (h2B=VG/VP). If the heritability is large, the variation of this character is mainly from genetic factors, and is less affected by environmental changes. Because only the cumulative variance VA is the variable that can be inherited from generation to generation, the ratio of cumulative variance to phenotypic variance is often used in breeding to represent heritability (h2N=VA/VP), which is narrow heritability. Heritability is widely used in animal and plant breeding. Breeding practice often requires Quantitative trait The heritability of is used as a reference to determine the selection method and period, as well as to predict the selection effect and estimate the cumulative effect value, i.e. breeding value.

Repetitive force

Repeatability refers to an individual's certain degree of Quantitative trait Of Phenotypic value The degree of possible repetition, used to measure the degree of genotype Stability expressed in a fluctuating environment; It can also be used to study the approximation of a quantitative trait in a population in different environments. Repetitive force is also Intra group correlation coefficient Therefore, it can also determine the number of times a certain phenotypic value should be measured. For example, the repeatability of milk fat rate is 80%, which indicates that the repeatability is high, and the future milk fat rate level of the cow can be roughly determined by measuring a few times. In addition, repeatability can also be used to estimate the stability of a trait in a population or individual.

genetic correlation

Genetic correlation refers to two traits of the same individual genotype The correlation between the cumulative effects in Genetic covariance Inherited with various characters standard deviation The ratio of the product. Genetic correlation can reflect the degree of correlation between genotypes, so we can use the traits with high heritability to Indirect selection Some economic traits with high genetic correlation but low heritability or difficult to measure, so as to improve the selection effect.
because genetic correlation The environmental impact has been removed, so it is more than Phenotypic correlation Reliable. For example, the heritability of egg weight variation in domestic chickens is 60%, and that of body weight variation is only 31%; This suggests that the effect of breeding large breeders by weight is not good. Although the phenotypic correlation of these two traits is only 0.16%, the genetic correlation is up to 50%. Therefore, large breeders can be indirectly bred by egg weight traits. Another example is that there is a close genetic relationship between the cow's milk yield and the cow's body shape and breast shape, and the rice yield is the same as Yield factor (such as panicles per plant, grains per panicle and 1000 grain weight).
In breeding, the selection value of one trait is usually predicted indirectly from the characteristics of another trait according to the correlation of traits. However, this is only phenotypic correlation, which also includes environmental impact, so it cannot truly reflect the genetic relationship between different traits. Real reflection of genetic correlation genotype We can get better results based on the correlation between Heritability The lower character has more significant effect.

Genetic progress

Genetic progress (also known as Genetic availability )It's a hybrid offspring Quantitative trait Of average At a certain time Select intensity Below is the value higher than the original population average. It is a function of heritability h2 and selection difference i, namely Δ G=ih2. Selection difference It refers to the difference between the average value of a quantitative trait in the population and the average value of the trait selected as the next generation parent. Genetic progress is an important estimate for determining genetic effects. Just find the amphoteric Heritability And between them genetic correlation Can be estimated by selecting a character Indirect selection Related genetic progress of another trait.
Genetic progress According to the heritability of traits, there are different effects. For high heritability Genetic variance For large traits, larger genetic progress can be obtained under certain selection intensity, indicating that the selection effect of this trait is higher. Therefore, genetic progress is an important parameter to determine the selection effect. In addition, the relationship of genetic progress among characters is the same as that between characters. The selection of one character will affect the genetic progress of another character. The correlation between the two characters only relatively indicates the closeness of the two characters; The correlation of genetic progress between two traits indicates the relationship between the absolute values of two traits in heredity. Therefore, genetic progress can be used not only to predict the absolute progress of a trait under selection, but also to predict the corresponding progress caused by other traits. Therefore, we can make appropriate evaluation on breeding materials, and make reasonable arrangement and treatment for the tested materials.

Selection index

The selection index is for multiple Quantitative trait Comprehensive selection Select Indicator , can be used to Target traits The greatest improvement is achieved through selection. The selection index value is equal to each character Phenotypic value The algebraic sum of the product with the exponential coefficient. As the nature and requirements of the problem are different, the methods for determining the index coefficient are also different, so there are many selection indexes of different estimation methods that can be used as indicators for the selection of multiple quantitative traits. [1]

Disciplinary significance

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Genetic laws and Biostatistics And other branches of mathematics Quantitative trait The laws of genetics and biological development enrich and enrich the theory of genetics and evolution. Since most economic traits are quantitative traits genetic variation It plays an important guiding role in breeding practice. [1]