114 What Is the Impact of Dairy Influence Cattle on the Traditional Beef Industry Structure?

2021 ◽  
Vol 99 (Supplement_1) ◽  
pp. 38-39
Author(s):  
Bradley J Johnson ◽  
Luke Fuerniss
Keyword(s):  
Dairy Cows ◽  
Dairy Herd ◽  
The United States ◽  
Reproductive Technologies ◽  
Industry Structure ◽  
Data Availability ◽  
Beef Production ◽  
Feed Conversion ◽  
Beef Industry ◽  
The Impact

Abstract The U.S. cow inventory includes approximately 31 million beef cows and 9 million dairy cows, so flow of cattle from dairies into beef production influences the traditional beef industry structure. Dairy-influenced cattle have historically entered the beef supply chain as cull cows and calf-fed Holstein steers. Culled dairy cows account for approximately half of the cows harvested in the United States annually. Fed steers and heifers of dairy influence are estimated to account for 15% of annual steer and heifer slaughter. Advancements in data availability, genomics, and reproductive technologies have enabled more precise selection of dairy replacement heifers and more pregnancies to be allocated to a terminal sire. Recently, the use of beef semen to breed dairy cows that are not desirable for producing replacement heifers has become more widespread. Beef-on-dairy calves are often moved to calf ranches shortly after birth where they are weaned and grown before transitioning to traditional grow yards or feedlots. In comparison to traditional range beef production, calves of dairy origin are weaned at a younger age, have more restricted mobility early in life, and are fed a delivered ration for a greater number of days. While carcasses of dairy-originated fed cattle excel in subcutaneous leanness and marbling, calves originating from dairies typically experience greater morbidity, poorer feed conversion, and poorer dressed yields compared to native fed cattle. Future opportunities to optimize beef production from the dairy herd include refining sire selection to consistently produce high quality calves, reducing variation in calfhood management, and identifying optimal nutrition and growth technology programs for calves from dairies.

Deep Learning Stream Temperature Model: Recommendations for Modeling Gauged and Ungauged Basins

2021 ◽  
Author(s):  
Farshid Rahmani ◽  
Kathryn Lawson ◽  
Samantha Oliver ◽  
Alison Appling ◽  
Chaopeng Shen
Keyword(s):  
Deep Learning ◽  
Root Mean Square Error ◽  
Mean Square Error ◽  
Root Mean Square ◽  
The United States ◽  
Data Availability ◽  
Efficiency Coefficient ◽  
Mean Square ◽  
Training Set ◽  
The Impact

<p>Stream water temperature (T<sub>s</sub>) is a variable that plays a pivotal role in managing water resources. We used the long short-term memory (LSTM) deep learning architecture to develop a basin centric single T<sub>s</sub> model based on general meteorological data and basin meteo-geological attributes. We created a strong tool for long-term Ts projection and subsequently, improved the Ts model using novel approaches. We investigated the impact of both observed and simulated streamflow data on improving the model accuracy. At a national scale, we obtained a median root-mean-square error (RMSE) of 0.69 <sup>o</sup>C, and Nash-Sutcliffe model efficiency coefficient (NSE) of 0.985, which are marked improvements over previous values reported in previous studies. In order to test the performance of the model on basins ranging from basins with extensive data to unmonitored basins, we used more than 400 basins with different data-availability groups (DAG) across the continent of the United States to explore how to assemble the training dataset for both monitored and unmonitored basins. Best root-mean-square error (RMSE) for sites with extensive (99%), intermediate (60%), scarce (10%) and absent (0%) data for training were 0.75, 0.837, 0.889, and 1.595 <sup>o</sup>C, respectively. We observed the negative effect of the presence of reservoirs in T<sub>s</sub> modeling. Our results illustrated that the most suitable training set should be different in modeling basins with different availability of observed data. for predicting T<sub>s</sub> in a monitored basin, including basins that have at least equal DAG with that particular basin will result in most accurate predictions, however, for T<sub>s</sub> prediction in ungauged basin, including all basins in training section will generate the best model, showing a more diverse training set. Furthermore, to decrease overfitting produced by attributes for PUB application, we could improve the accuracy of the model using input-selection ensemble method. We got median correlation higher than 0.90 for PUB after seasonality was removed which is still high. While many T<sub>s</sub> prediction models showed better performance in summer, our model was on the opposite side. We found a strong relationship between general available daily meteorological variables and catchment attributes with the presented T<sub>s</sub> model. However, our results indicate that combining physics-based criteria to the model can improve the prediction of temperature in river networks.</p><p>.</p>

An economic assessment of the impact of new reproductive technologies on commercial dairy and beef herds

1995 ◽  
Vol 1995 ◽  
pp. 134-134 ◽  
Author(s):  
C. M. Yates ◽  
T. Rehman ◽  
A. T. Chamberlain
Keyword(s):  
Production Efficiency ◽  
Dairy Herd ◽  
Economic Assessment ◽  
Reproductive Technologies ◽  
Economic Benefits ◽  
Vital Role ◽  
Genetic Progress ◽  
Animal Reproduction ◽  
Beef Herds ◽  
The Impact

The adoption of new reproductive technologies is likely to have far reaching consequences on commercial dairy and beef herds. Within a dairy herd, milk production is influenced by the animal's genotype and its environment and their interaction. Whilst environmental factors may be manipulated in many ways, the animal's genotype is determined solely by it's parents genetic make up; therefore, animal reproduction plays a vital role in determining the genetic progress that can be made within an enterprise. Reproduction is also important within a beef enterprise as the production of a large breed calf can increase the output and thus achieve a higher production efficiency. Any reproductive technology that offers a faster rate of genetic improvement and/or an increase in production would be considered desirable if any increased costs of using that technology are compensated by the economic benefits. In order to appraise such technologies it is necessary to estimate their implications at an enterprise level in terms of production levels, efficiency and economic benefits.

scholarly journals Interregional Price Flexibilities: An Application to the Fed Beef Industry

1975 ◽  
Vol 7 (2) ◽  
pp. 129-133
Author(s):  
Jamal Kalantar ◽  
Russell L. Gum ◽  
Elmer L. Menzie
Keyword(s):  
Mathematical Programming ◽  
Programming Model ◽  
The United States ◽  
Economic Systems ◽  
Mathematical Programming Model ◽  
Beef Industry ◽  
Economic Relationships ◽  
Regional Production ◽  
Optimum Solution ◽  
The Impact

Within spatially complex economic systems, it is given that change in a commodity's production in one region engaged in interregional competition will influence the price of that commodity in all trading regions. Mathematical programming models provide useful tools to predict such price alterations for specified production changes. Unfortunately, only running and analyzing many alternative formulations of such a model can generate an understanding of the relationships among regions involved in interregional competition. Specifically, this paper addresses itself to formalizing this process and providing quantitative measures summarizing the impact of regional changes in production upon prices in all regions. This paper is concerned with quantitatively estimating the influence of a change in fed beef production for given regions upon prices of fed beef for all regions of the United States. From estimates of these relationships, economic measures of isolation of regions and the impact of changes in import levels upon regional prices will be developed. Thus, unlike much previous research in the area of interregional competition in the beef industry, focused upon finding an “optimum” solution to a mathematical programming model, this research examines the basic economic relationships among regional production and regional prices implied by an interregional competition model.

scholarly journals Moral Rights Laws and Income Disparity Between Artists in High and Low GDP States

2021 ◽  
Vol 10 (2) ◽  
Author(s):  
Victoria Avanesov ◽  
Robert Hodgson
Keyword(s):  
United States ◽  
Statistical Significance ◽  
Well Being ◽  
The United States ◽  
T Test ◽  
Data Availability ◽  
Moral Rights ◽  
Difference In Differences ◽  
The Difference ◽  
The Impact

The United States' laissez-faire approach to moral rights legislation has left many academics questioning the impact that these laws have on artists' welfare. In using artists' income as one component of measuring overall well-being, states with additional statewide moral rights legislation have been shown to contribute to more significant artist losses, in contrast to states with only federal legislation. At the same time, moral rights laws have been shown to have no impact on artists' choice of residency, leaving some artists possibly disadvantaged regarding their choice of residency. Utilizing a difference in differences framework, this paper explores the impact of moral rights legislation on artists' weekly incomes between moral rights states of varying outputs of GDP. Although results suggested that artists would lose approximately $0.18 per one billion dollar increase in GDP at the statewide level, after conducting an additional t-test, these findings were shown to have no statistical significance. Several limitations, most prominently a lack of data availability in the pre-law values required for the difference in differences framework, may have contributed to these findings. These indeterminate results leave the question of whether some artists remain economically disadvantaged as a result of moral rights legislation uncertain.  

scholarly journals BEEF SPECIES-RUMINANT NUTRITION CACTUS BEEF SYMPOSIUM: A role for beef cattle in sustainable U.S. food production1

2019 ◽  
Vol 97 (9) ◽  
pp. 4010-4020 ◽  
Author(s):  
Claire B Gleason ◽  
Robin R White
Keyword(s):  
United States ◽  
Land Use ◽  
Environmental Impacts ◽  
Water Use ◽  
Ghg Emissions ◽  
The United States ◽  
Beef Production ◽  
Beef Industry ◽  
Animal Agriculture ◽  
The U.S

Abstract The increasing global population, limited resource availability, and global focus on reducing greenhouse gas (GHG) emissions put pressure on animal agriculture industries to critically evaluate and optimize the role they play in a sustainable food production system. The objective of this review is to summarize evidence of the various roles that the U.S. beef industry plays in the U.S. and global agricultural systems. As the world’s largest beef producer, the United States reaps considerable economic benefit from the beef industry through strong domestic and international demand, as well as employment opportunities for many Americans. Beef production contributes to GHG emissions, land use, and water use, among other critical environmental impacts but provides an important source of essential micronutrients for human consumption. The U.S. beef industry provides sufficient product to meet the protein, vitamin B12, omega-3 and -6 fatty acid requirements of 43, 137, 47, and 487 million people, respectively. In the United States, beef production was estimated to account for 53% of GHG emissions from U.S. animal agriculture and 25% of GHG emissions from all of U.S. agriculture. Footprinting studies suggest that much of the land use and water use associated with beef production are attributed to the development of feed crops or pastureland. On a global scale, beef from U.S. origin is exported to numerous developed and developing countries, representing an important international nutrient routing. Along with other prominent beef-producing nations, the United States continues to pursue a greater level of sustainability in its cattle industry, which will bear important implications for future global food security. Efforts to reduce the environmental impacts of beef production will likely be the strongest drivers of enhanced sustainability.

scholarly journals A Review of Beef Production Systems for the Sustainable Use of Surplus Male Dairy-Origin Calves Within the UK

2021 ◽  
Vol 8 ◽  
Author(s):  
Naomi H. Rutherford ◽  
Francis O. Lively ◽  
Gareth Arnott
Keyword(s):  
Production Systems ◽  
Economic Value ◽  
Sustainable Use ◽  
Dairy Herd ◽  
Beef Production ◽  
Long Distance ◽  
Welfare Benefits ◽  
Market Requirements ◽  
The Uk ◽  
The Impact

The UK dairy herd is predominantly of the Holstein-Friesian (HF) breed, with a major emphasis placed on milk yield. Subsequently, following years of continued single-trait selection, the beef production potential of dairy bred calves has declined. Thus, male HF calves are commonly seen as a by-product of the dairy industry. Limited markets, perceived low economic value and high rearing costs mean that these surplus calves are often euthanised shortly after birth or exported to the EU for further production. Welfare concerns have been raised regarding both euthanasia and long distance transportation of these calves. Furthermore, total UK beef consumption increased by 8.5% from 2009 to 2019. Thus, in light of this growing demand, beef from the dairy herd could be better utilized within the UK. Therefore, the potential for these calves to be used in a sustainable, cost-effective beef production system with high welfare standards within the UK requires investigation. Thus, the aim of this review was to evaluate both steer and bull beef production systems, examining the impact on performance, health, welfare, and economic potential to enable a sustainable farming practice, while meeting UK market requirements. The principal conclusions from this review indicate that there is the potential for these calves to be used in UK based production systems and meet market requirements. Of the steer production systems, a 24 month system appears to achieve a balance between input costs, growth from pasture and carcass output, albeit the literature is undecided on the optimum system. The situation is similar for bull beef production systems, high input systems do achieve the greatest gain in the shortest period of time, however, these systems are not sustainable in volatile markets with fluctuating concentrate prices. Thus, again the inclusion of a grazing period, may increase the resilience of these systems. Furthermore, production systems incorporating a period at pasture are seen to have animal welfare benefits. The main welfare concern for surplus dairy bred calves is often poor colostrum management at birth. While in steer systems, consideration needs to be given to welfare regarding castration, with the negative impacts being minimized by completing this procedure soon after birth.

1. Economic Impacts of Bovine Spongiform Encephalopathy in Canada and Europe And The Effect of Compensation Programs

2017 ◽  
Author(s):  
Kate Burnett
Keyword(s):  
Bovine Spongiform Encephalopathy ◽  
Economic Impacts ◽  
The United States ◽  
Economic Losses ◽  
Spongiform Encephalopathy ◽  
The European Union ◽  
Beef Industry ◽  
Government Subsidies ◽  
The Impact ◽  
The U.S

Before the first domestic case of bovine spongiform encephalopathy (BSE) was identified in May 2003, Canada was the world’s third largest exporter of cattle behind the United States (U.S.) and Australia. After the BSE disclosure, the U.S. and 40 other countries imposed an immediate ban on imported Canadian beef and cattle products. The interdependence of the Canadian beef industry with that of the U.S. prior to the outbreak of BSE was a critical factor in Canada’s market vulnerability and the resulting economic impact. As the re-opening of the U.S. border was prolonged, beef producers adopted a variety of strategies to deal with the loss of income including refinancing existing loans and selling land or other assets. However these measures taken by individual farmers were not sufficient in completely supplementing their loss of income, thus creating a need for government funding and support. Little research has been done to assess the impact of government subsidies as a tool to offset the economic losses incurred by BSE. The analysis of the impacts of BSE and the resulting subsidies is extended to Britain, France, Germany and the European Union to see if government subsidies had a similar impact as compared to Canada. Analysis of existing literature shows the economic impacts to be heavily impacted by the structure of the beef industry and the subsidies to be impacted by consumption levels. The result of the subsidies is unclear; however due to lack of recent information the full analysis of the result of subsidy programs is difficult to determine.

Demonstrating Nutrient Cost Gradients: A Brooklyn Case Study

2014 ◽  
Vol 84 (5-6) ◽  
pp. 244-251 ◽  
Author(s):  
Robert J. Karp ◽  
Gary Wong ◽  
Marguerite Orsi
Keyword(s):  
Low Income ◽  
Energy Content ◽  
Food Selection ◽  
The United States ◽  
United States Department ◽  
Micronutrient Deficiencies ◽  
Caloric Density ◽  
Low Income Families ◽  
The Cost ◽  
The Impact

Abstract. Introduction: Foods dense in micronutrients are generally more expensive than those with higher energy content. These cost-differentials may put low-income families at risk of diminished micronutrient intake. Objectives: We sought to determine differences in the cost for iron, folate, and choline in foods available for purchase in a low-income community when assessed for energy content and serving size. Methods: Sixty-nine foods listed in the menu plans provided by the United States Department of Agriculture (USDA) for low-income families were considered, in 10 domains. The cost and micronutrient content for-energy and per-serving of these foods were determined for the three micronutrients. Exact Kruskal-Wallis tests were used for comparisons of energy costs; Spearman rho tests for comparisons of micronutrient content. Ninety families were interviewed in a pediatric clinic to assess the impact of food cost on food selection. Results: Significant differences between domains were shown for energy density with both cost-for-energy (p < 0.001) and cost-per-serving (p < 0.05) comparisons. All three micronutrient contents were significantly correlated with cost-for-energy (p < 0.01). Both iron and choline contents were significantly correlated with cost-per-serving (p < 0.05). Of the 90 families, 38 (42 %) worried about food costs; 40 (44 %) had chosen foods of high caloric density in response to that fear, and 29 of 40 families experiencing both worry and making such food selection. Conclusion: Adjustments to USDA meal plans using cost-for-energy analysis showed differentials for both energy and micronutrients. These differentials were reduced using cost-per-serving analysis, but were not eliminated. A substantial proportion of low-income families are vulnerable to micronutrient deficiencies.

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