scholarly journals Genetic relationships among calving ease, calving interval, birth weight, and weaning weight in the Asturiana de los Valles beef cattle breed1

2007 ◽  
Vol 85 (1) ◽  
pp. 69-75 ◽  
Author(s):  
J. P. Gutiérrez ◽  
F. Goyache ◽  
I. Fernández ◽  
I. Alvarez ◽  
L. J. Royo
2011 ◽  
Vol 50 (No. 1) ◽  
pp. 14-21 ◽  
Author(s):  
E. Krupa ◽  
M. Oravcová ◽  
P. Polák ◽  
J. Huba ◽  
Z. Krupová

Growth traits of purebred calves of six beef breeds (Aberdeen Angus – AA, Blonde d’Aquitaine – BA, Charolais – CH,Hereford – HE, Limousine – LI and Beef Simmental – BS) born from 1998 to 2002 were analysed. Traits under study were birth weight (BW), weight at 120 days (W120), weight at 210 days – weaning weight (WW), weight at 365 days – yearling weight (YW) and average daily gains from birth to 120 days (ADG1), from birth to 210 days (ADG2), from birth to 365 days (ADG3), from 120 to 210 days (ADG4). General linear model with class effects of breed, dam’s age at calving, sex, herd-year-season (HYS) and covariation of age at weighing was used for analyses. All effects significantly affected both weight and gain traits except for dam’s age that was significant for BW, W120, YW and ADG3, and age at weighing that was significant for W120, WW, YW, ADG2, ADG3, ADG4. Estimated least squares means of growth traits were compared using Scheffe’s multiple-range tests. Highest BW (40.57 kg) and W120 (172.43 kg) were found for BA calves. BS calves had highest WW (260.30 kg), YW (424.07 kg), ADG1 (1 154 g), ADG2 (1 053 g), ADG3 (1 054 g) and ADG4 (1 098 g). Highest BW, YW, ADG3 and ADG4 were found for males-singles. Males-twins had highest W120, WW, ADG1 and ADG2. Calves descending from 5–7 years old dams had highest BW, W120, WW, ADG1, ADG2 and ADG4. The proportion of variability of growth traits explained by HYS effect (42.96–71.69%) was high, whereas proportions of variability explained by SEX effect (2.03–5.77%), age of dam (1.02–2.24%) and breed (1.05–2.21%) were low. Residuals accounted for 23.71 up to 53.79% of total variance.  


2009 ◽  
Vol 87 (10) ◽  
pp. 3089-3096 ◽  
Author(s):  
L. M. Melucci ◽  
A. N. Birchmeier ◽  
E. P. Cappa ◽  
R. J. C. Cantet

1990 ◽  
Vol 70 (3) ◽  
pp. 963-965
Author(s):  
J. C. OLTHOFF ◽  
G. H. CROW ◽  
G. W. RAHNEFELD

Lines within a breed which differ in their level of performance may require different age-of-dam adjustment factors in the same way that different breeds do. Age-of-dam adjustments calculated from a control and a yearling weight selection line indicated lower values in the selected line for calf birth weight, weaning weight and yearling weight for 2- and 4-yr-old dams. Trends for adjustment factors in each line over time were generally not significant but tended to diverge. Age-of-dam adjustment factors within a breed may need to be reevaluated at intervals as levels of performance change. Key words: Beef cattle, age of dam adjustment, selection, yearling weight


2014 ◽  
Vol 59 (No. 7) ◽  
pp. 302-309 ◽  
Author(s):  
L. Vostrý ◽  
Z. Veselá ◽  
A. Svitáková ◽  
H. Vostrá Vydrová

The most appropriate model for genetic parameters estimation for calving ease and birth weight in beef cattle was selected. A total of 27 402 field records were available from the Czech Charolais breed. For estimation of genetic parameters for calving ease and body weight, three bivariate models were tested: a linear-linear animal model (L-LM) with calving ease classified into four categories (1 – easy; 2–4 – most difficult), a linear-linear animal model (SC-LM) in which calving ease scores were transformed into Snell scores (Snell 1964) and expressed as percentage of assisted calving (ranging 0–100%), and a bivariate threshold-linear animal model (T-LM) with calving ease classified into four categories (1 – easy, 2–4 – most difficult). All tested models included fixed effects for contemporary group (herd × year × season), age of dam, sex and breed of a calf. Random effects included direct and maternal genetic effects, maternal permanent environmental effect, and residual error. Direct heritability estimates for calving ease and birth weight were, with the use of L-LM, SC-LM, and T-LM, from 0.096 ± 0.013 to 0.226 ± 0.024 and from 0.210 ± 0.024 to 0.225 ± 0.026, respectively. Maternal heritability estimates for calving ease and birth weight were, with the use of L-LM, SC-LM, and T-LM, from 0.060 ± 0.031 to 0.104 ± 0.125 and from 0.074 ± 0.041 to 0.075 ± 0.040, respectively. Genetic correlations of direct calving ease with direct birth weight ranged from 0.46 ± 0.06 to 0.50 ± 0.06 for all tested models; whereas maternal genetic correlations between these two traits ranged from 0.24 ± 0.17 to 0.25 ± 0.53. Correlations between direct and maternal genetic effects within-trait were negative and substantial for all tested models (ranging from –0.574 ± 0.125 to –0.680 ± 0.141 for calving ease and from –0.553 ± 0.122 to –0.558 ± 0.118 for birth weight, respectively), illustrating the importance of including this parameter in calving ease evaluations. Results indicate that any of the tested models could be used to reliably estimate genetic parameters for calving ease for beef cattle in the Czech Republic. However, because of advantages in computation time and practical considerations, genetic analysis using SC-LM (transformed data) is recommended.


1980 ◽  
Vol 60 (3) ◽  
pp. 609-620 ◽  
Author(s):  
G. F. S. HUDSON ◽  
L. R. SCHAEFFER ◽  
J. W. WILTON

Progeny test programs were characterized by numbers of young bulls, successful matings (conceptions) per young bull, herds in which each young sire was used, proven bulls used as reference sires and herd size. Matings to reference sires were calculated as a percentage of the number of young sire matings. Designs were simulated and mixed-model equations formed and added to equations obtained from the Canadian ROP program for years 1971–1978. The average standard error of prediction (SEP) of young bulls was used for comparing designs. Increasing matings per young sire decreased SEP curvilinearly. The curvilinearity was greater when either herd size or herds per young sire was low. Increasing herd size and herds per young sire improved connectedness between sires and reduced SEP. Number of young sires affected SEP only when fewer than 10 bulls were sampled. Number of young sire matings were more important in reducing SEP than percent reference sire matings. If number of young sire matings was adequate to achieve a desired level of SEP, 10% reference sire matings were sufficient. The number of reference sires used did not affect SEP. Design patterns affected SEP of weaning weight (h2 = 0.25) and calving ease (h2 = 0.10) similarly. SEP was not affected by the number of proven sires in a breed (Maine Anjou, 133 sires or Blonde d’Aquitaine, 39 sires) or by the connectedness between proven sires.


1982 ◽  
Vol 62 (1) ◽  
pp. 287-290
Author(s):  
D. K. AARON ◽  
F. A. THRIFT

Birth and weaning weight data were evaluated on 1/2 Simmental (SH, SA), 1/2 Maine-Anjou (MH, MA), 3/4 Simmental (S.SH, S.SA) and 3/4 Maine-Anjou (M.MH, M.MA) calves. For birth weight, 1/2 Simmental calves were lighter (P < 0.01) than 1/2 Maine-Anjou calves, and calves from Hereford cows were heavier (P < 0.01) than calves from Angus cows. Also, S.SH calves were heavier (P < 0.01) than S.SA calves. For weaning weight, 3/4 Simmental calves were heavier (P < 0.01) than 3/4 Maine-Anjou calves, and 1/2 Simmental and Maine-Anjou calves were lighter (P < 0.01) than 3/4 Simmental and Maine-Anjou calves. Key words: Calf genetic types, grading-up, beef cattle


2020 ◽  
Vol 16 (2) ◽  
pp. 177
Author(s):  
Petrus Alexander Beding ◽  
Batseba M.W. Tiro ◽  
Ghalih P Dominanto

<p class="pre" align="justify"><strong><em><span>Abstract:</span></em></strong><em><span> </span></em><em><span>Jayapura is one of </span></em><em><span>regencie</span></em><em><span>s in Papua which is designated as development of breeding area of beef cattle commodities. This study aims to present data and information </span></em><em><span>about </span></em><em><span>the profile of beef cattle farms in the Karya Bersama Farmer Group, Namblong </span></em><em><span>d</span></em><em><span>istrict, Jayapura </span></em><em><span>regency </span></em><em><span>as the location for assisting the development of breeding area of beef cattle commodities. Data collection were conducted by survey and interview to 24 farme</span></em><em><span>rs</span></em><em><span> at Kelompok Tani Karya Bersama that strengthened by F</span></em><em><span>ocus </span></em><em><span>G</span></em><em><span>roup </span></em><em><span>D</span></em><em><span>iscussion</span></em><em><span>. The demonstration plot was carried out by introducing forage processing technology into silage and fermented straw as well as additional feed (bran) and observing the level of livestock reproduction. The results showed that the level of productivity of cattle is still relatively low, where calving interval is long (18-24 months), high S/C value (2 - 4), low birth weight (15-18 kg) and changes in body weight 0.1-0.2 kg/head/day. However, the assistance of technology can improve the productivity of cattle. </span></em><em></em></p><p class="pre" align="justify"> </p><p align="justify"><strong>Abstrak: </strong>Kabupaten Jayapura merupakan salah satu kabupaten di Papua yang ditetapkan sebagai pengembangan kawasan peternakan komoditas sapi potong. Kajian ini bertujuan untuk menyajikan data dan informasi mengenai profil usaha ternak sapi sapi potong pada kelompok tani Karya Bersama, Distrik Namblong, Kabupaten Jayapura sebagai lokasi pendampingan pengembangan kawasan peternakan komoditas sapi potong. Metode pengumpulan data dilakukan melalui survei dan wawancara langsung menggunakan kuisioner semi-struktur terhadap 24 responden peternak pada kelompok tani Karya Bersama dan dipertajam dengan <em>Focus Group Discussion</em> (FGD). Kegiatan demplot dilakukan dengan mengintroduksi teknologi pengolahan hijauan menjadi silase dan jerami fermentasi serta pakan tambahan (dedak) dan dilakukan pengamatan terhadap tingkat reproduksi ternak. Hasil kajian menunjukkan tingkat produktivitas ternak sapi masih tergolong rendah, dimana calving interval cukup panjang (18 – 24 bulan), nilai S/C tinggi (2 - 4), bobot lahir rendah (15 – 18 kg) serta perubahan bobot badan induk 0,1-0,2 kg/ekor/hari. Namun dengan adanya pendampingan teknologi dapat memperbaiki kinerja produktivitas ternak sapi. </p>


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