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1.
Vet Clin North Am Food Anim Pract ; 39(2): 337-353, 2023 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-37032297

RESUMO

Beef cattle are less prone to metabolic diseases as compared with dairy cattle; however, there are disease entities of concern in feedlot and cow-calf beef cattle operations. In one study, a prevalence of 2% was found for ruminant acidosis in a feedlot; however, there is little prevalence information published with regard to metabolic diseases in beef cattle.1 Metabolic diseases covered in this article are hypomagnesemia, ruminal acidosis, and all of the common sequelae, polioencephalomalacia, manganese deficiency, and protein-energy malnutrition (PEM).


Assuntos
Acidose , Doenças dos Bovinos , Doenças Metabólicas , Feminino , Bovinos , Animais , Doenças dos Bovinos/epidemiologia , Doenças dos Bovinos/metabolismo , Doenças Metabólicas/veterinária , Acidose/veterinária
2.
Animals (Basel) ; 12(15)2022 Jul 27.
Artigo em Inglês | MEDLINE | ID: mdl-35953899

RESUMO

Developing and raising replacement heifers requires a large capital investment for producers. Therefore, it is imperative to discover traits and management practices to eliminate subfertile heifers prior to breeding and pregnancy determination. In this study, four years of data was analyzed from a centralized beef heifer development yard in the Midwest of the United States. The objective of this study was to analyze various heifer physical characteristics and management practices in order to quantify their impact on pregnancy and date of conception. Logistic regression models were built to investigate risk factors associated with conception to artificial insemination (AI), pregnancy by natural service after AI exposure, and pregnancy in the first 21-days of the breeding season. Age at entry, average daily gain from entry to breeding, pelvic width, and year were associated with AI pregnancy (p < 0.05). On the second model, average daily gain from entry to yearling weight, weight at breeding, weight at pregnancy diagnosis, and age at AI were significantly associated with pregnancy. There were no associations with reproductive tract score with any of the response variables analyzed. These results indicate there are physical measurements that can be used to improve the ability to select and develop heifers for improved reproductive performance.

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