0:00:00.000,0:00:07.000 Hello everyone, I welcome you to another lecture from the Animal Breeding module, the topic of which is: 0:00:07.000,0:00:14.000 Quantitative traits and path way coefficients. In the lecture, we will introduce quantitative traits 0:00:14.000,0:00:17.000 and the descriptions of path way coefficients. 0:00:17.000,0:00:26.000 If we are talking about the performance of an individual, we are talking about the so-called phenotype. 0:00:26.000,0:00:34.000 The phenotype is a set of traits observed on individual and is a function of genotype and environment. 0:00:34.000,0:00:46.000 It is therefore a set of all the traits of an individual that are of interest to us from the point of view of animal genetics. 0:00:46.000,0:00:56.00 If we use the basic definition of the phenotype. The phenotype is always defined as a function of the genotype 0:00:56.000,0:01:02.000 and the environment. We can define the phenotype as the sum of the level of the genotype, 0:01:02.000,0:01:09.000 the environment and the relationship or interaction between the genotype and the environment. 0:01:09.000,0:01:14.000 If we convert this relationship into phenotypic variance, 0:01:14.000,0:01:24.000 then phenotypic variance is influenced by genetic variance, environmental variance and covariance between genotype and environment. 0:01:24.000,0:01:32.000 Genetic variance can be divided into variability influenced by the additive component of the genotype, 0:01:32.000,0:01:42.000 variance influenced by the dominance component and variance influenced by the component of gene interactions or epistasis. 0:01:42.000,0:01:50.000 Environmental variance can be divided into variance influenced by the permanent or temporary environment. 0:01:50.000,0:01:57.000 This slide will explain the terms additivity, dominance and interaction. 0:01:57.000,0:02:04.000 The concept of additivity can be explained as follows. Each gene has some effect. 0:02:04.000,0:02:12.000 It is generally assumed that the dominant allele shows a higher performance value 0:02:12.000,0:02:18.000 (e.g. 5 kg on average) than the recessive allele (e.g. 2 kg on average). 0:02:18.000,0:02:25.000 The genetic value of the given individual for which we are considering the given genotype, 0:02:25.000,0:02:30.000 affected only by the additivity effect, is 38 Kg. 0:02:30.000,0:02:37.000 We obtained this value by summing the individual effects of individual genes. 0:02:37.000,0:02:47.000 Conversely, dominance represents the relationship of two genes or two allels at one locus. 0:02:47.000,0:02:53.000 For example: If it exists, let's call it over-dominance. 0:02:53.000,0:03:09.000 That is, if the alleles at one locus are heterozygous, then is an increase in productivity by, for example, 10 kg. 0:03:09.000,0:03:16.000 The genetic value of the given genotype affected only by the dominance effect (D) is, 0:03:16.000,0:03:27.000 therefore, 20 kg since it contains only two gene pairs in the heterozygous state. 0:03:27.000,0:03:35.000 And interaction, or epistasis, represents the relationship between two genes at different loci. 0:03:35.000,0:03:44.000 Suppose there is a relationship between the dominant allele A and the dominant allele B, 0:03:44.000,0:03:55.000 and this relationship increases performance by 10 kg. Therefore, in the genotype we are considering, 0:03:55.000,0:04:02.000 the interaction effect will increase productivity or performance by 20 kg 0:04:02.000,0:04:13.000 because the genotype contains one dominant allele A and two dominant alleles B. 0:04:13.000,0:04:22.000 By summing the effects of additivity, and dominance and the interaction, 0:04:22.000,0:04:31.000 we get the total genetic value, which is 78 kg for the genotype we are considering. 0:04:31.000,0:04:38.000 From the point of view of animal breeding, the transfer of genetic information from 0:04:38.000,0:04:41.000 individuals to subsequent generations is important. 0:04:41.000,0:04:47.000 This transmission takes place using sex cells or gametes. 0:04:47.000,0:04:56.000 As we already know, gametes carry half the number of chromosomes and there are so-called "haploid". 0:04:56.000,0:05:03.000 An individual with the genotype listed here has these four types of gametes. 0:05:03.000,0:05:15.000 For each gamete, there is an additive effect of genes because each gamete contains that individual's genes. 0:05:15.000,0:05:24.000 The effect of dominance and interaction by forming gametes disappears because the gametes are haploid; 0:05:24.000,0:05:30.000 therefore, there can be no interactions at the locus level. 0:05:30.000,0:05:41.000 In some gametes, the interaction effect also does not occur due to random segregation of alleles or chromosomes. 0:05:41.000,0:05:47.000 Only half of the additive genetic effect is transfers through the gametes. 0:05:41.000,0:05:54.000 Thanks to the formation of gametes and the transmission of a genetics 0:05:54.000,0:05:59.000 or rather additive genetic effect between parents and offspring, 0:05:59.000,0:06:05.000 it is possible to observe the genetic similarity between related individuals, 0:06:05.000,0:06:17.000 such as the already mentioned parents and offspring, but also siblings full of half, distant relatives and distant siblings. 0:06:17.000,0:06:26.000 This genetic similarity can be studied thanks to the so-called path way coefficients. 0:06:26.000,0:06:34.000 The pathway coefficients define a relationship or dependence from one variable to other variable, 0:06:34.000,0:06:39.000 i.e., a relationship between at least two variables. 0:06:39.000,0:06:50.000 In general, we distinguish two types of patway coefficients - the first type, where another variable fully determines one variable. 0:06:50.000,0:06:57.000 We professionally call this type the statistical term "regression". 0:06:57.000,0:07:04.000 The second type is regarding the equal status of both variables. 0:07:04.000,0:07:08.000 We professionally call this type of statistical term "correlation." 0:07:08.000,0:07:16.000 Only the following two rules are sufficient for working with pathway coefficients. 0:07:16.000,0:07:25.000 Rule one: If another variable (E) lies between variables X and variable Y, 0:07:25.000,0:07:36.000 the connection from variable X to variable Y consists of two sub-connections (X-E, E-Y). 0:07:36.000,0:07:45.000 The pathway coefficient from variable X to variable Y is obtained as a product of partial connections. 0:07:45.000,0:07:54.000 The second rule: If it is possible to find a more significant number of possible connections between two variables, 0:07:54.000,0:08:04.000 the total connections - the total pathway coefficient, is equal to the sum of the single connections. 0:08:04.000,0:08:12.000 We will present the given rules here in the following case of two full sibs. 0:08:12.000,0:08:19.000 There is no relationship between the phenotype of individual X and individual Y. 0:08:19.000,0:08:25.000 The only possible relationship is through the genetic merit of individuals. 0:08:25.000,0:08:33.000 And that through the genetic equipment of the father and the genetic equipment of the mother. 0:08:33.000,0:08:39.000 Through meiosis, everyone receives half of their parents' genetic merit. 0:08:39.000,0:08:52.000 Here, we will use rule 1 of pathway coefficients: If another variable (E) lies between the variables X and Y, 0:08:52.000,0:09:00.000 the connection from X to Y consists of the product of partial connections. 0:09:00.000,0:09:10.000 In this case, 0.5 x 0.5. The same rule applies to the mother. 0:09:10.000,0:09:20.000 And since these two individuals are full sibs who have the same parents, 0:09:20.000,0:09:31.000 we can use rule 2 of pathway coefficients: If a more possible connections can be found between two variables, 0:09:21.000,0:09:38.000 X and Y, the total pathway coefficient is equal to the sum of the single connections. 0:09:38.000,0:09:43.000 In this case, through the father and the mother. 0:09:43.000,0:09:52.000 The genetic relationship between individuals X and Y equals the value 0.5. 0:09:52.000,0:10:00.000 It is necessary to realize that single connections can be the product of partial connections. 0:10:00.000,0:10:10.000 The same is true for the following case. We will again use both pathway coefficient rules. 0:10:10.000,0:10:19.000 The genetic relationship between individual X and Y is equal to 0.3125. 0:10:19 .000,0:10:26.000 There are two so-called genetic "paths" between individuals X and Y. 0:10:26.000,0:10:30.000 One is expressed as red and the other as blue. 0:10:30.000,0:10:47.000 The red "path" reaches a value of 0.5 quoters, again assuming that each offspring receives 50% of its genes from its parent, 0:10:47.000,0:11:03.000 and the sub-sections path are multiplied, and the blue "path" reaches a value of 0.5 squered, according to the same rules. 0:11:043000,0:11:10.000 At the end, we add up both paths (blue and red). 0:11:10.000,0:11:23.000 Thus, the genetic value between individual X and Y is equal to the value 0.3125, as already mentioned. 0:11:23.000,0:11:32.000 We proceed similarly when defining the genetic relationship between the offspring 0:11:32.000,0:11:40.000 and own parents when the genetic similarity is equal to the value of one 0:11:40.000,0:11:53.000 and the genetic similarity between the offspring and only one parent when the genetic similarity is similar to the value of 0.5. 0:11:53.000,0:12:03.000 We can continue with half-sibs, when the genetic similarity is equal to 0.25. 0:12:03.000,0:12:11.000 Own siblings, when the genetic similarity is similar to the value 0.5 and, 0:12:11.000,0:12:22.000 for example, a cousin and cousin, when the genetic similarity is equal to the value 0.125. 0:12:22.000,0:12:29.000 From the principles of pathway coefficients mentioned above, 0:12:29.000,0:12:35.000 we can derive rules that are mainly used in the estimation of genetic parameters, 0:12:35.000,0:12:40.000 which include, for example, coefficient of heritability. 0:12:40.000,0:12:47.000 The group of animals related to each other have similar genotypes. 0:12:47.000,0:12:57.000 Therefore, differences within groups of related animals are primarily conditioned by the influence of the environment. 0:12:57.000,0:13:04.000 And further that different groups of related animals have different genotypes. 0:13:04.000,0:13:13.000 Therefore, differences in the performance of related animals in differnet groups 0:13:13.000,0:13:21.000 are mainly caused by differences in the additive genetic part of their gene pool. 0:13:21.000,0:13:28.000 In this lecture, the quantitative traits and the concept of pathway coefficients 0:13:28.000,0:13:35.000 for determining the genetic relationships between two individuals were presented. 0:13:35.000,0:13:41.000 Thank you for your attention and I look forward to seeing you in the next lecture.