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Browsing by Subject "genetic correlation"

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  • Ruotanen, Päivi (2020)
    Patellar luxation is a typical orthopaedic disorder in small sized dogs. Patella can luxate either medially or laterally, medial luxation being by far more common than the lateral luxation. PL is considered hereditary since certain breeds have great susceptibility to get the condition, and the symptoms may occur at young age. PL is diagnosed by following the so-called Putnam’s scale where the stifle joint is palpated and manipulated. PL is graded from 0=normal…4=permanent luxation. The aim of this study was to estimate the variance components and the heritability of PL, to visualize PL’s genetic trend and to calculate the genetic correlation between left and right stifle and between PL and hip dysplasia (HD) in Japanese Spitz. The PL, HD and pedigree data were provided by the Finnish Kennel Club. Data were modified with both R-program and Microsoft Office Excel. The pedigree check was performed with RelaX2 program and variance component analyses were done with DMU program using the restricted maximum likelihood method. Heritabilities (h2) were from very low to low depending on the model and breed. When the dependent variable was the mean of left and right patellae of an individual the lowest heritability was in the Pomeranian h2=0.03 and highest in the Chihuahua h2=0.18. The genetic correlation of left and right patellae was 1 in all breeds which suggests that they are genetically the same trait. In the Japanese Spitz the genetic correlation between PL and HD was -0.05. The genetic trend of PL was favorable in the Chihuahua and the Japanese Spitz. In the Pomeranian the trend was negative and neutral in the Finnish Spitz. Based on the results, the selection against PL has not been efficient. In future, patellae health should be controlled by using breeding indexes because the heritability of PL is low. Also, improvements in phenotyping could lead to more accurate selection.
  • Tikkanen, Minna (2014)
    Genetic and phenotypic parameters and relationships for fertility traits, body type traits and production were estimated. The data analyzed included 21,450 Ayrshires. Animals were reared in 2,647 herds, born from 1994 to 2005 and were progeny of 1652 sires. Analyzed fertility traits were days from first service to last insemination and number of inseminations to conception for heifers, and days from calving to first insemination for first parity cows. Production traits were first lactation milk and lifetime milk and body type traits were stature, body depth, chest width, angularity, top line, rump width and rump angle. Variance components and the heritability estimates were calculated by restricted maximum likelihood (REML) method using the DMU software. The heritability estimates of first lactation milk yield and lifetime milk yield were 0.28 and 0.08, re-spectively. The heritabilities for fertility traits in virgin heifers and first lactation cows were low (0.02 – 0.03). Heritability estimates for the type traits varied from 0.10 to 0.43. The largest heritability was found for stature (0.43) and rump width (0.27). The highest positive genetic correlations were angularity with first lactation milk (0.41) and lifetime milk (0.45), and the highest negative genetic correlation was between top line and first lactation milk (-0.33). Chest width and rump angle had a positive genetic correlation to days from calving to first insemination. The significant genetic correlations were heifer fertility with body depth, rump width and rump angle. Estimated correlations between heifer fertility traits and lifetime milk yield were positive and moderate. First parity cow fertility was not related to production traits. Fertility traits and lifetime milk have a low heritability. Progress can be made relatively fast in body traits and first lactation milk by breeding, because of the moderate heritabilities. Selection for some body type traits may cause improvement in production but deterioration in fertility. Declined heifer fertility is associated with high lifetime production. However is not reasonable to put emphasis on poor heifer fertility in selection.
  • Häkli, Katja (2013)
    The objective of this study was to estimate genetic parameters of minks Aleutian Disease (AD) infections and investigate the genetic relationships between Aleutian Disease infection and fertility traits. The research data was obtained from the Finnish Fur Breeders Association. The data had information from one mink farm in years 2006-2010. The data contained 27 753 one year old female minks. Only those females who had more than three kits were tested. There were 18 478 tested minks of which 9.2 % had AD. The pedigree data had 41 573 animals. In this study AD infection, pregnancy and felicity were binary traits. AD inf. 1 = sick, 2 = healthy. If female had kit(s) or aborted or lost her kit(s) after birth, pregnancy (PREG) = 2, otherwise = 1. If female lost her kits after birth, felicity (FEL) = 1. If litter size were at least one, FEL = 2. The heritability estimates and variance components (REML) were calculated using multi trait animal model and DMU-software. Heritability estimates for the studied traits were low: 0.07 for AD infection, 0.07 for PREG, 0.04 for FEL and 0.08 for litter size. The heritability estimate for AD was smaller than the common litter variance for the trait. Genetic correlations between AD inf. and FEL, and AD inf. and litter size were positive. The genetic correlations between AD inf. and FEL were 0.447 ± 0.132 and between AD inf. and litter size 0.290 ± 0.108. The results suggest that resistance for AD inf. has genetic variation. Although the heritability estimate for the trait was low, it can be affected by selection. Genetic correlations between AD inf. and fertility traits were favourable. Selection for larger litter size could increase mink resistance for AD infection.
  • Lehto, Emilia (2012)
    The aim of this study was to investigate the genetic relationships between conformation and performance traits in Finnish Warmblood riding horse population. The research material included the RHQT (riding horse quality test) results from the years 1996-2010 and the pedigree data for the horses. The RHQT results were received from the Finnish Breeders Association and the pedigree data was received from the Finnish trotting and breeding association’s horse register. The RHQT results consisted of 640 horses and the pedigree data consisted of 4 458 horses. The REML estimates of (co)variance components were calculated by VCE6 using multi trait model. Altogether there were six trait groups, which consisted of 27 different traits. Because of the large number of traits, the analyses were done in smaller subsets with two trait groups at the same time. The heritability estimates for the studied traits were quite high and the standard errors were small. The genetic correlations within each trait group were strong and positive. Thus it could be concluded that same genes or groups of genes affect all the traits within the trait group. The other explanation for this could be that in reality the judges have evaluated the same traits as different traits. The genetic correlations between conformation traits and all gait traits and dressage traits indicate that conformation can be used indirectly in the breeding of gait and dressage traits. Furthermore, it could be concluded that the genetic relationships between conformation and show-jumping traits are quite low. The genetic correlations between gait traits and show-jumping traits were low. The genetic correlations between gait traits and dressage traits were positive and strong. These strong and positive correlations indicate that the judged traits are actually same or very similar. From the results of this study can be concluded that all three different tests for show-jumping traits are actually measuring the same traits. Because of this one test would be adequate to produce the information of horses quality, capacity and breeding value. Moreover it can be concluded that there are genetic relationships between conformation and performance in Finnish Warmblood riding horse population. These discovered relationships can be used when breeding traits that have low heritabilities, such as the mechanic of movement in the walk or rideability. Furthermore, these results can be used to improve the judging methods in RHQT and other performance tests.
  • Riihimäki, Anna (2019)
    The target of pork production is to produce lean meat efficiently in a sustainable way taking into account environment and ethical aspects. The most important production traits in pigs are average daily gain, feed efficiency and leanness. A lot of research is conducted related to production traits in comparison to feeding behavior traits. The objective of this study was to estimate heritability of feeding behavior traits and their genetic correlations with production traits in Finnish Landrace population. The data included feeding records of 4059 Landrace pigs measured automatically in Figen’s test station. The pigs had started their test period during 2010 - 2016. The measured traits were the number of visits per day (NVD), time spent in feeding per day (TPD), daily feed intake (DFI), time spent feeding per visit (TPV), feed intake per visit (FPV), feeding rate (FR), average daily gain (ADG), back fat thickness (BF) and feed conversion ratio (FCR). Feeding behavior traits were divided into 5 periods. Heritability estimates of feeding behavior traits were moderate. The heritability estimates were 0,22-0,29 for NVD, 0,33-0,47 for TPD, 0,16-0,25 for DFI, 0,22-0,31 for TPV, 0,28-0,36 for FPV, 0,35-0,38 for FR, 0,27 for ADG, 0,22 for BF, and 0,24 for FCR. Compared to other published results heritabilities of TPD and FR were similar. However, heritabilities of other feeding behavior traits were quite low compared to published results. In addition, heritability of BF was unexpectedly low. The genetic correlations of feeding behavior traits were similar at different test periods. The highest positive genetic correlations were between traits TPV – FPV, FPV – FR, and NVD – TPD. The highest negative genetic correlations were between traits NVD – FPV, TPD – FR, and NVD – TPV. Genetic correlations between feeding behavior traits and production traits were low. Only between DFI – ADG, DFI – FCR, and FPV – FCR the genetic correlations were significant (and positive). In conclusion, heritabilities of feeding behavior traits were moderate. Because the only strong genetic correlation between feeding behavior and production traits was obtained between DFI and ADG, including feeding behavior traits in breeding programs is not necessary. However, feeding behavior data are easy to collect from the electronic feeders and the observations are reliable, thus daily feeding records can be used for monitoring animal’s health and welfare.