scholarly journals Genetic parameters of semen quality traits and genetic correlations with service sire nonreturn rate in Nordic Holstein bulls

2021 ◽  
Author(s):  
Grum Gebreyesus ◽  
Mogens S. Lund ◽  
Kasia Kupisiewicz ◽  
Guosheng Su
Keyword(s):  
Genetic Parameters ◽  
Semen Quality ◽  
Genetic Correlations ◽  
Quality Traits ◽  
Holstein Bulls

scholarly journals Repeatability and Phenotypic Correlation Among Semen Quality Traits in Holstein Bulls

2018 ◽  
Vol 42 (4) ◽  
Author(s):  
Argi Argiris ◽  
Siswanto Imam Santoso ◽  
Yon Supri Ondho ◽  
Edy Kurnianto
Keyword(s):  
Artificial Insemination ◽  
Semen Quality ◽  
Intraclass Correlation ◽  
Correlation Method ◽  
Phenotypic Correlation ◽  
Quality Traits ◽  
Frozen Semen ◽  
Holstein Bulls ◽  
Fresh Semen ◽  
Selection Of

The purpose of this research was to analysis the value of repeatability and correlation among the traits affecting the production of frozen semen from Holstein’s bull in Indonesia. Repeatability and correlation were calculated based on the data of frozen semen production of 15.699 records from 44 Holstein bulls at Singosari Artificial Insemination Center (SAIC) and 8.935 records from 39 Holstein bulls at Lembang Artificial Insemination Center (LAIC). Repeatability for volume, motility, fresh semen concentration and frozen semen production was evaluated by intraclass correlation method. The repeatability values of LAIC for volume, motility, fresh semen concentration and frozen semen production were 0.60; 0.54; 0.37 and 0.47. The repeatability values of SAIC for volume, motility, fresh semen concentration and frozen semen production were 0.54; 0.30; 0.43 and 0.29. The linear correlation value between volume, motility and fresh semen concentration with the amount of semen produced per collections were 0.41, 0.36, and 0.58. Concentration was the most factors influencing the number of frozen semen produced. The effectiveness of the selection of Holstein's frozen semen producing could be determined by the value of repeatability and the phenotypic correlation among semen quality traits such as volume, motility, concentration and frozen semen production.

Can we breed Merino sheep with softer, whiter, more photostable wool?

2010 ◽  
Vol 50 (12) ◽  
pp. 1089 ◽  
Author(s):  
S. Hatcher ◽  
P. I. Hynd ◽  
K. J. Thornberry ◽  
S. Gabb
Keyword(s):  
Genetic Parameters ◽  
Selection Index ◽  
Genetic Correlations ◽  
Genetic Selection ◽  
Phenotypic Selection ◽  
Quality Traits ◽  
Current Generation ◽  
Merino Sheep ◽  
Initial Cohort ◽  
Selection For

Genetic parameters (heritability, phenotypic and genetic correlations) were estimated for a range of visual and measured wool traits recorded from the 2008 shearing of the initial cohort of Merino progeny born into the Sheep CRC’s Information Nucleus Flock. The aim of this initial analysis was to determine the feasibility of selectively breeding Merino sheep for softer, whiter, more photostable wool and to quantify the likely impact on other wool production and quality traits. The estimates of heritability were high for handle and clean colour (0.86 and 0.70, respectively) and moderate for photostability (0.18), with some evidence of maternal effects for both handle and photostability. The phenotypic correlations between handle and clean colour and between handle and photostability were close to zero, indicating that achieving the ‘triple’ objective of softer, whiter, more photostable wool in the current generation through phenotypic selection alone would be difficult. There was evidence of an antagonistic relationship between handle and photostability (–0.36), such that genetic selection for softer wool will produce less photostable wool that will yellow on exposure to UV irradiation. However genetic selection for whiter wool is complementary to photostability and will result in whiter wool that is less likely to yellow. Genetic selection to improve handle, colour and photostability can be achieved with few detrimental effects on other visual and measured wool traits, particularly if they are included in an appropriate selection index.

scholarly journals Estimates of genetic parameters and cluster analyses for carcass and meat quality traits in birds

2017 ◽  
Vol 52 (3) ◽  
pp. 205-213 ◽  
Author(s):  
Adriane Molardi Bainy ◽  
Rodrigo Pelicioni Savegnago ◽  
Luara Afonso de Freitas ◽  
Beatriz do Nascimento Nunes ◽  
Jaqueline Oliveira Rosa ◽  
...  
Keyword(s):  
Meat Quality ◽  
Genetic Parameters ◽  
Genetic Correlations ◽  
Meat Production ◽  
Quality Traits ◽  
Production Traits ◽  
Multiple Trait ◽  
Breeding Values ◽  
Cluster Analyses ◽  
Meat Quality Traits

Abstract: The objective of this work was to estimate genetic parameters for bird carcass and meat quality traits, as well as to explore the genetic patterns of the breeding values of this population using cluster analyses. Data from 1,846 birds were used to estimate the genetic parameters of production and quality traits using the multiple-trait animal model, and cluster analyses were performed. The heritability estimates ranged from 0.08± 0.03 for meat pH measured 24 hours after slaughter to 0.85± 0.09 for body weight. The genetic correlations between production traits were high and positive. The genetic correlations between meat quality traits were low and were not informative due to the high standard errors (same magnitudes as those of the genetic correlations). The genetic correlations between meat production and quality traits were negative, except between production traits and meat lightness intensity. Based on breeding values (EBVs), the evaluated population can be divided into four groups through cluster analyses, and one group is suitable for selection because the birds presented EBVs above and around the average of the population, respectively, for production and quality traits. Therefore, it is possible to obtain genetic gains for production-related traits without decreasing meat quality.

scholarly journals Association of TNP2 Gene Polymorphisms of the bta-miR-154 Target Site with the Semen Quality Traits of Chinese Holstein Bulls

PLoS ONE ◽  
2014 ◽  
Vol 9 (1) ◽  
pp. e84355 ◽  
Author(s):  
Qing Gao ◽  
Zhihua Ju ◽  
Yan Zhang ◽  
Jinming Huang ◽  
Xiaojian Zhang ◽  
...  
Keyword(s):  
Gene Polymorphisms ◽  
Semen Quality ◽  
Target Site ◽  
Quality Traits ◽  
Chinese Holstein ◽  
Holstein Bulls

scholarly journals PSIII-13 Genetic parameters and the purebred–crossbred genetic correlation for growth, carcass, and meat quality traits in pigs

2019 ◽  
Vol 97 (Supplement_2) ◽  
pp. 164-165
Author(s):  
Hadi Esfandyari ◽  
Dinesh M Thekkoot ◽  
Robert A Kemp ◽  
Graham S Plastow ◽  
Jack C M Dekkers
Keyword(s):  
Meat Quality ◽  
Genetic Parameters ◽  
Carcass Traits ◽  
Genetic Correlations ◽  
National Research Council ◽  
Quality Traits ◽  
Meat Quality Traits ◽  
Heritability Estimates ◽  
Negative Estimate ◽  
Crossbred Pigs

Abstract Growth, meat quality, and carcass traits are of economic importance in swine breeding. Understanding their genetic basis in commercial crossbred pigs and purebred-crossbred genetic correlations are necessary for a successful breeding program. The objectives of this study were to 1) estimate genetic parameters for growth, meat quality and carcass traits in a purebred sire line and related commercial crossbred pigs and 2) estimate the corresponding genetic correlations between purebreds and crossbreds (rpc). We analyzed 115266, 10927 and 43057 purebred records for growth, meat quality (n = 4) and carcass traits (n = 7), respectively. For crossbreds, there were 2000 pigs with growth records, with 900 of them having meat quality and carcass data. A series of univariate and bivariate analyses were used to estimate genetic parameters and rpc. Growth showed moderate heritability (0.20 ± 0.10 to 0.25 ± 0.01) in both purebreds and crossbreds. Heritability estimates for meat quality traits ranged from 0.21 ± 0.03 to 0.42 ± 0.04 in purebreds and from 0.17 ± 0.14 to 0.47 ± 0.15 in crossbreds. Carcass traits had higher heritability estimates in purebreds compared to crossbreds, except for hot carcass weight (0.10 ± 0.02 vs. 0.24 ± 0.16). Genetic correlations among meat quality traits were variable in both populations, whereas genetic correlations among carcass traits were similar in purebreds and crossbreds. Estimates of rpc were high for growth (0.99 ± 0.5) and for meat quality traits (0.94 ± 0.39 to 0.99 ± 0.2), except for Minolta color (-0.48 ± 0.56). Carcass traits had moderate to high estimates of rpc (0.64 ± 0.4 to 0.92 ± 0.3). Carcass fat had a negative estimate of rpc (-0.1 ± 0.5). However, ultrasound fat as an indicator trait for carcass fat had a high positive estimate of rpc (0.88 ± 0.14). Our results indicate that selection in purebreds can be efficient to improve these traits in both purebreds and crossbreds but for some traits, genetic gain can be improved by applying combined crossbred and purebred selection. Funding provided by Genome Canada and the National Research Council.

scholarly journals Genetic parameters of growth and quality traits in open-pollinated silver birch progeny tests

Silva Fennica ◽  
2020 ◽  
Vol 54 (2) ◽  
Author(s):  
Arnis Gailis ◽  
Pauls Zeltiņš ◽  
Andis Purviņš ◽  
Juris Augustovs ◽  
Valts Vīndedzis ◽  
...  
Keyword(s):  
Genetic Control ◽  
Genetic Parameters ◽  
Selection Index ◽  
Genetic Correlations ◽  
Silver Birch ◽  
Stem Volume ◽  
Environment Interaction ◽  
Quality Traits ◽  
Stem Straightness ◽  
Stem Quality

Genetic parameters of growth and stem quality traits were estimated for open-pollinated silver birch Roth progenies in Latvia at the age of 10 and 14 years. Tree height and stem volume were found to be under strong genetic control at both inventories (narrow-sense heritabilities varied from 0.41 to 0.66). Mainly low heritabilities were found for stem defects, yet genetic control of branch diameter, stem straightness and overall stem quality varied from low to high depending on study site. High additive genetic coefficient of variation was found for stem volume (25.3–32.5%). Genetic correlations among growth traits were strong and positive (0.90–0.99). Mainly weak genetic correlations between growth and quality traits implied simultaneous improvement. Still, strong negative correlations between branch angle and stem straightness might result in enlarged knot size for straighter logs. The genetic age-age correlations were strong. Weak genotype by environment interaction and stability of best genotypes over different sites was indicated by strong genetic correlations between trials. Each growth or quality trait alone showed substantial improvement in terms of estimated genetic gain (up to 62% over trial mean for stem volume). Therefore, selection index combining both growth and stem quality may be developed.Betula pendula

Genetic parameters for quality traits by non-invasive methods and their G x E interactions in ocean cages and estuaries on gilthead seabream (Sparus aurata)

Aquaculture ◽  
2021 ◽  
Vol 537 ◽  
pp. 736462
Author(s):  
I. Elalfy ◽  
H.S. Shin ◽  
D. Negrín-Báez ◽  
A. Navarro ◽  
M.J. Zamorano ◽  
...  
Keyword(s):  
Genetic Parameters ◽  
Sparus Aurata ◽  
Gilthead Seabream ◽  
Quality Traits ◽  
Non Invasive
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