1546 Effects of mineral supplementation on pre- and postpartum primiparous beef heifer performance and progeny preweaning performance

2016 ◽  
Vol 94 (suppl_5) ◽  
pp. 751-751
Author(s):  
J. Hawley ◽  
E. B. Kegley ◽  
J. G. Powell
2010 ◽  
Vol 33 (6) ◽  
pp. 1059-1067
Author(s):  
Xing-Long JIANG ◽  
Rui-Zhang GUAN ◽  
E. Boyd Claude

1968 ◽  
Vol 27 (6) ◽  
pp. 1627 ◽  
Author(s):  
J. F. Wagner ◽  
E. L. Veenhuizen ◽  
R. P. Gregory ◽  
L. V. Tonkinson
Keyword(s):  

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Sarah E. Moorey ◽  
Fernando H. Biase

Abstract The development of replacement heifers is at the core of cow-calf beef production systems. In 2020, the USDA, National Agricultural Statistics Service reported 5.771 million beef heifers, 500 pounds and over, are under development for cow replacement. A compilation of data from several studies indicate that between 85% and 95% of these heifers will become pregnant in their first breeding season. Several thousands of heifers being raised for replacement may not deliver a calf on their first breeding season and result in economic losses to cow-calf producers. Many management procedures have been developed to maximize the reproductive potential of beef heifers. Such approaches include, but are not limited to the following: nutritional management for controlled weight gain, identification of reproductive maturity by physiological and morphological indicators, and the implementation of an estrous synchronization program. The implementation of management strategies has important positive impact(s) on the reproductive efficiency of heifers. There are limitations, however, because some heifers deemed ready to enter their first breeding season do not become pregnant. In parallel, genetic selection for fertility-related traits in beef heifers have not promoted major genetic gains on this particular area, most likely due to low heritability of female fertility traits in cattle. Technologies such as antral follicle counting, DNA genotyping and RNA profiling are being investigated as a means to aid in the identification of heifers of low fertility potential. To date, many polymorphisms have been associated with heifer fertility, but no DNA markers have been identified across herds. Antral follicle count is an indication of the ovarian reserve and is an indicator of the reproductive health of a heifer. We have been working on the identification of transcriptome profiles in heifers associated with pregnancy outcome. Our current investigations integrating protein-coding transcript abundance and artificial intelligence have identified the potential for bloodborne transcript abundance to be used as indicators of fertility potential in beef heifers. In summary, there is an ongoing pressure for reducing costs and increasing efficiency in cow-calf production systems, and new technologies can help reduce the long-standing limitations in beef heifer fertility.


2006 ◽  
Vol 104 (1-2) ◽  
pp. 173-181 ◽  
Author(s):  
M.J. Fradinho ◽  
G. Ferreira-Dias ◽  
L. Mateus ◽  
M.F. Santos-Silva ◽  
R. Agrícola ◽  
...  

2021 ◽  
Vol 29 (6) ◽  
pp. 316-322
Author(s):  
Nurul Nabilah Ahmad Fadzil ◽  
Azura Abdul Halain ◽  
Santhi A/P Yew Roan Nee ◽  
Soh Kim Lam ◽  
Salimah Japar

Background Prenatal supplementation has been introduced to pregnant women during early pregnancy to prevent complication to both mother and fetus. The complications include anaemia, postpartum haemorrhage, low birth weight and fetal defects. Aim To assess compliance with vitamin and mineral supplementation in pregnant women. Methods A cross-sectional design with simple random sampling was used in this study with 100 respondents who attended the maternal and child clinic in Selangor, Malaysia. Findings The findings showed that 86 respondents (86%) were compliance towards vitamin and mineral supplementation, whereas 35 respondents (35%) were non-compliance mainly due to forgetfulness. The result indicated a significant association between compliance with race (p=0.02), occupation (p<0.01), household income (p=0.02), education (p<0.01), parity (p<0.01) and trimester (p=0.02). Conclusion Majority of the respondents acknowledge that side effects and forgetfulness were the main influencing factors towards non-compliance.


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