Literature DB >> 30204881

Genetic parameters for fertility and production traits in Red Angus cattle.

Ryan J Boldt1, Scott E Speidel1, Milton G Thomas1, R Mark Enns1.   

Abstract

Heifer pregnancy (HPG) and Stayability (STAY) are female reproductive traits that have EPD reported by the Red Angus Association of America. Challenges arise when making genetic predictions for these traits. Specifically, HPG and STAY phenotypes can only be collected on females retained in the breeding herd and have low heritability estimates. Additionally, STAY is measured late in an animal's life. The objective of this research was to investigate the genetic relationships between HPG or STAY and 13 other traits, which included measurements of growth, carcass, ultrasound, and scrotal circumference. For STAY relationships between mature weight (MW), body condition score (BCS), teat score (TS), and udder suspension score (US) were also evaluated. Data from 142,146 and 164,235 animals were used in the analyses for HPG and STAY, respectively. Genetic relationships were investigated using a series of 2 trait animal models and a REML procedure. In all analyses, the appropriate contemporary groups were included as a fixed effect, and direct genetic as a random effect. Additional fixed effects included as follows: sex for weight, carcass and ultrasound traits, age of dam for weight traits, and age of measurement for ultrasound, carcass, BCS, udder traits, and MW. Maternal genetic effects for preweaning gain (Pre-WG), weaning weight (WW), and yearling weight (YW) were also modeled. Permanent environmental effects of the dam were modeled for the traits Pre-WG and WW. Permanent environment of the individual for the traits MW, BCS, TS, and US was also included. Heritability estimates were 0.12 ± 0.01 and 0.10 ± 0.01 for HPG and STAY, respectively. Heritability estimates for direct genetic effects of production traits were moderate to high in magnitude, maternal heritability estimates were low, and permanent environmental effects accounted for 0.00 to 0.18 of the total variation. The strongest genetic correlations were those among Pre-WGD (0.24 ± 0.08), WWD (0.18 ± 0.08), YWD (0.20 ± 0.07), ultrasound rib eye area direct (0.16 ± 0.08), and ultrasound backfat direct (0.14 ± 0.08) and HPG. The highest genetic correlations were between STAY and WWM (0.54 ± 0.05), YWM (0.36 ± 0.07), backfat (0.53 ± 0.20), marbling score (0.40 ± 0.20), UREA (0.19 ± 0.07), ultrasound backfat (0.37 ± 0.07), TS (0.30 ± 0.11), and US (0.23 ± 0.11). Relationships between HPG or STAY and other traits were minimal. These results suggest that genetic relationships exist between HPG or STAY and other more densely recorded traits.

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Year:  2018        PMID: 30204881      PMCID: PMC6162596          DOI: 10.1093/jas/sky294

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  20 in total

1.  Genetic parameters for carcass traits and their live animal indicators in Simmental cattle.

Authors:  D H Crews; E J Pollak; R L Weaber; R L Quaas; R J Lipsey
Journal:  J Anim Sci       Date:  2003-06       Impact factor: 3.159

Review 2.  Genetic effects on beef heifer puberty and subsequent reproduction.

Authors:  L C Martin; J S Brinks; R M Bourdon; L V Cundiff
Journal:  J Anim Sci       Date:  1992-12       Impact factor: 3.159

Review 3.  Management considerations in heifer development and puberty.

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Journal:  J Anim Sci       Date:  1992-12       Impact factor: 3.159

4.  Reproductive performance of heifers offered ad libitum or restricted access to feed for a one hundred forty-day period after weaning.

Authors:  A J Roberts; T W Geary; E E Grings; R C Waterman; M D MacNeil
Journal:  J Anim Sci       Date:  2009-05-22       Impact factor: 3.159

5.  Genetic parameters for intramuscular fat percentage, marbling score, scrotal circumference, and heifer pregnancy in Red Angus cattle.

Authors:  C M McAllister; S E Speidel; D H Crews; R M Enns
Journal:  J Anim Sci       Date:  2011-01-28       Impact factor: 3.159

6.  Heritability and Bayesian genome-wide association study of first service conception and pregnancy in Brangus heifers.

Authors:  S O Peters; K Kizilkaya; D J Garrick; R L Fernando; J M Reecy; R L Weaber; G A Silver; M G Thomas
Journal:  J Anim Sci       Date:  2012-11-12       Impact factor: 3.159

7.  Implementation of a routine genetic evaluation for longevity based on survival analysis techniques in dairy cattle populations in Switzerland.

Authors:  N Vukasinovic; J Moll; L Casanova
Journal:  J Dairy Sci       Date:  2001-09       Impact factor: 4.034

8.  Weight necessary to change body condition scores in Angus cow.

Authors:  C J Tennant; J C Spitzer; W C Bridges; J H Hampton
Journal:  J Anim Sci       Date:  2002-08       Impact factor: 3.159

9.  Evaluating longevity of composite beef females using survival analysis techniques.

Authors:  P L Rogers; C T Gaskins; K A Johnson; M D MacNeil
Journal:  J Anim Sci       Date:  2004-03       Impact factor: 3.159

10.  Within-herd genetic analyses of stayability of beef females.

Authors:  W M Snelling; B L Golden; R M Bourdon
Journal:  J Anim Sci       Date:  1995-04       Impact factor: 3.159

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  4 in total

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Journal:  Trop Anim Health Prod       Date:  2022-09-07       Impact factor: 1.893

2.  Genome-wide association and genotype by environment interactions for growth traits in U.S. Red Angus cattle.

Authors:  Johanna L Smith; Miranda L Wilson; Sara M Nilson; Troy N Rowan; Robert D Schnabel; Jared E Decker; Christopher M Seabury
Journal:  BMC Genomics       Date:  2022-07-16       Impact factor: 4.547

3.  Development of optimal genetic evaluations for teat and udder structure in Canadian Angus cattle.

Authors:  Kajal Devani; Tiago S Valente; John J Crowley; Karin Orsel
Journal:  J Anim Sci       Date:  2019-11-04       Impact factor: 3.159

4.  Whole Genome Sequencing Analysis to Identify Candidate Genes Associated With the rib eye Muscle Area in Hu Sheep.

Authors:  Yuan Zhao; Xiaoxue Zhang; Fadi Li; Deyin Zhang; Yukun Zhang; Xiaolong Li; Qizhi Song; Bubo Zhou; Liming Zhao; Jianghui Wang; Dan Xu; Jiangbo Cheng; Wenxin Li; Changchun Lin; Xiaobin Yang; Xiwen Zeng; Weimin Wang
Journal:  Front Genet       Date:  2022-03-14       Impact factor: 4.599

  4 in total

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