Effects of a novel missense polymorphism within the SIGLEC5 gene on fertility traits in Holstein‐Friesian cattle

2019 ◽  
Vol 54 (9) ◽  
pp. 1163-1168
Author(s):  
Paulina Puckowska ◽  
Alicja Borowska ◽  
Tomasz Szwaczkowski ◽  
Kamil Oleński ◽  
Stanislaw Kamiński
2005 ◽  
Vol 48 (1) ◽  
pp. 5-11
Author(s):  
R. Lazarevic ◽  
B. Miscevic

Abstract. The aim of the paper was to establish reproductive traits and their heritability during the three successive generations of Holstein-Friesian cattle. Research was conducted on the duration of pregnancy, service period and fertility intensity. In each generation there were 135 first calved cows. Service period and fertility intensity refers to the following calving. Significant differences were established (P < 0.05) regarding duration of pregnancy between I and II generation. Significant (P < 0.05) influence of season on duration of pregnancy and service period was established in I generation (1991), on duration of service period and fertility intensity in II generation (1996) and on duration of pregnancy and service period in III generation (2000). Season effect (summer) was established for all traits of fertility in II generation (P < 0.05). The season (spring) had influence on duration of pregnancy (P < 0.05) and summer had an influence on duration of service period and fertility intensity, and winter effected the duration of service period (P < 0.05) in III generation. Values of heritability coefficients are pretty low for all generations. Considerably greater values for heritability were established for service period and intensity of fertility of cows per generations.


2003 ◽  
Vol 76 (1) ◽  
pp. 35-42 ◽  
Author(s):  
M. Haile-Mariam ◽  
J.M. Morton ◽  
M.E. Goddard

AbstractFertility data collected on 17131 Holstein-Friesian cows from 158 dairy herds in Australia were used to estimate heritabilities for and correlations among several fertility traits using a sire model. Pregnancy rate (PR), survival (Surv), calving interval (CI), calving to first service interval (CFS), insemination rate (coded as 1 if a cow received a service or 0 otherwise) (InsemR) and first service non-return rate (FNRR) were the main traits analysed in a six-trait model. Among the traits, CFS had the highest h2 (0·13) and FNRR had the lowest h2 (0·01). Genetic correlations among the traits were higher than environmental correlations in all cases. The genetic correlations of PR with InsemR, FNRR, CFS, CI and Surv were 0·74, 0·79 and -0·84, -0·57, and 0·67, respectively. The genetic correlation between InsemR and CFS was high (-0·95) indicating that they almost measure the same trait. Analysis of data from cows that did not return to service after the first service despite not being pregnant (so-called ‘phantom’ cow syndrome) showed that the syndrome is not heritable. The relatively high genetic correlation of PR with traits such as CI and Surv that can be extracted from milk recording data and CFS, FNRR and InsemR that can be obtained from mating data suggests that routine genetic evaluation of sires for daughter fertility based on these traits can be implemented in national selection programs.


2021 ◽  
Vol 185 ◽  
pp. 106133
Author(s):  
William Andrew ◽  
Jing Gao ◽  
Siobhan Mullan ◽  
Neill Campbell ◽  
Andrew W. Dowsey ◽  
...  

2007 ◽  
Vol 2007 ◽  
pp. 110-110
Author(s):  
R.M. Kirkland ◽  
D.C. Patterson ◽  
B.W. Moss ◽  
T.W.J. Keady ◽  
R.W.J. Steen

Any evaluation of breeds or production systems for beef must consider effects on production, carcass and meat quality characteristics. Holstein-Friesian (HF) cattle are bred for dairy traits only, while Norwegian dairy cattle (NOR) have been selected with some emphasis on beef characteristics. A comparison of production data from bulls of these two breeds has been presented previously (Kirkland et al., 2005). The objective of the present study was to evaluate specific carcass and meat quality parameters of HF and NOR bulls.


2020 ◽  
Vol 56 (3) ◽  
pp. 333-338
Author(s):  
P. Sablik ◽  
A. Klenowicz ◽  
M. Szewczuk ◽  
A. Olszewski ◽  
A. Dybus

2007 ◽  
Vol 40 (3) ◽  
pp. 169-173 ◽  
Author(s):  
Amir H. Shahmoradi ◽  
Reza Arefpajohi ◽  
Keyvan Tadayon ◽  
Nader Mosavari

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