scholarly journals An Evaluation of Historical Trends in New Mexico Beef Cattle Production in Relation to Climate and Energy

2019 ◽  
Vol 11 (23) ◽  
pp. 6840 ◽  
Author(s):  
Ashraf Zaied ◽  
Hatim Geli ◽  
Jerry Holechek ◽  
Andres Cibils ◽  
Mohammed Sawalhah ◽  
...  

In support of Food-Energy-Water Systems (FEWS) analysis to enhance its sustainability for New Mexico (NM), this study evaluated observed trends in beef cattle population in response to environmental and economic changes. The specific goal was to provide an improved understanding of the behavior of NM’s beef cattle production systems relative to precipitation, temperature, rangeland conditions, production of hay and crude oil, and prices of hay and crude oil. Historical data of all variables were available for the 1973–2017 period. The analysis was conducted using generalized autoregressive conditional heteroscedasticity models. The results indicated declining trends in beef cattle population and prices. The most important predictors of beef cattle population variation were hay production, mean annual hay prices, and mean annual temperature, whereas mean annual temperature, cattle feed sold, and crude oil production were the most important predictors for calf population that weigh under 500 lb. Prices of beef cattle showed a strong positive relationship with crude oil production, mean annual hay prices, rangeland conditions, and mean annual precipitation. However, mean annual temperature had a negative relationship with mean annual beef prices. Variation in mean annual calf prices was explained by hay production, mean annual temperature, and crude oil production. This analysis suggested that NM’s beef cattle production systems were affected mainly and directly by mean annual temperature and crude oil production, and to a lesser extent by other factors studied in this research.

2020 ◽  
Vol 12 (5) ◽  
pp. 2051 ◽  
Author(s):  
Ashraf J. Zaied ◽  
Hatim M. E. Geli ◽  
Mohammed N. Sawalhah ◽  
Jerry L. Holechek ◽  
Andres F. Cibils ◽  
...  

This study was conducted within the context of providing an improved understanding of New Mexico’s food, energy, water systems (FEWS) and their behavior under variable climate and socioeconomic conditions. The goal of this paper was to characterize the relationships between production and prices of some forage crops (hay, grain sorghum, and corn) that can be used as feed supplements for beef cattle production and the potential impacts from a changing climate (precipitation, temperature) and energy inputs (crude oil production and prices). The analysis was based on 60 years of data (1958–2017) using generalized autoregressive conditional heteroscedasticity models. Hay production showed a declining trend since 2000 and in 2017, it dropped by ~33% compared to that of 2000. Crude oil production (R2 = 0.83) and beef cattle population (R2 = 0.85) were negatively correlated with hay production. A moderate declining trend in mean annual hay prices was also observed. Mean annual range conditions (R2 = 0.60) was negatively correlated with mean annual hay prices, whereas mean annual crude oil prices (R2 = 0.48) showed a positive relationship. Grain sorghum production showed a consistent declining trend since 1971 and in 2017, it dropped by ~91% compared to that of 1971. Mean annual temperature (R2 = 0.58) was negatively correlated with grain sorghum production, while beef cattle population (R2 = 0.61) and range conditions (R2 = 0.51) showed positive linear relationships. Mean annual grain sorghum prices decreased since the peak of 1974 and in 2017, they dropped by ~77% compared to those of 1974. Crude oil prices (R2 = 0.72) and beef cattle population (R2 = 0.73) were positively correlated with mean annual grain sorghum prices. Corn production in 2017 dropped by ~61% compared to the peak that occurred in 1999. Crude oil production (R2 = 0.85) and beef cattle population (R2 = 0.86) were negatively correlated with corn production. Mean annual corn prices showed a declining trend since 1974 and in 2017, they dropped by ~75% compared to those of 1974. Mean annual corn prices were positively correlated with mean annual precipitation (R2 = 0.83) and negatively correlated with crude oil production (R2 = 0.84). These finding can particularly help in developing a more holistic model that integrates FEWS components to explain their response to internal (i.e., management practices) and external (i.e., environmental) stressors. Such holistic modeling can further inform the development and adoption of more sustainable production and resource use practices.


2021 ◽  
Vol 194 ◽  
pp. 103247
Author(s):  
Maria Paula Cavuto Abrão Calvano ◽  
Ricardo Carneiro Brumatti ◽  
Jacqueline Cavalcante Barros ◽  
Marcos Valério Garcia ◽  
Kauê Rodriguez Martins ◽  
...  

2015 ◽  
Vol 47 (7) ◽  
pp. 1255-1260 ◽  
Author(s):  
Matheus Dhein Dill ◽  
Gabriel Ribas Pereira ◽  
João Batista Gonçalves Costa ◽  
Leonardo Canali Canellas ◽  
Vanessa Peripolli ◽  
...  

2014 ◽  

Beef Cattle Production and Trade covers all aspects of the beef industry from paddock to plate. It is an international text with an emphasis on Australian beef production, written by experts in the field. The book begins with an overview of the historical evolution of world beef consumption and introductory chapters on carcass and meat quality, market preparation and world beef production. North America, Brazil, China, South-East Asia and Japan are discussed in separate chapters, followed by Australian beef production, including feed lotting and live export. The remaining chapters summarise R&D, emphasising the Australian experience, and look at different production systems and aspects of animal husbandry such as health, reproduction, grazing, feeding and finishing, genetics and breeding, production efficiency, environmental management and business management. The final chapter examines various case studies in northern and southern Australia, covering feed demand and supply, supplements, pasture management, heifer and weaner management, and management of internal and external parasites.


PLoS ONE ◽  
2020 ◽  
Vol 15 (10) ◽  
pp. e0240819
Author(s):  
Qihui Yang ◽  
Don M. Gruenbacher ◽  
Jessica L. Heier Stamm ◽  
David E. Amrine ◽  
Gary L. Brase ◽  
...  

2021 ◽  
Vol 9 (1) ◽  
pp. 22
Author(s):  
Evangelos Alexandropoulos ◽  
Vasileios Anestis ◽  
Thomas Bartzanas

In this paper, 15 farm-scale Green House Gas-based (GHG-based) decision support (DS) tools were evaluated based on a number of criteria (descriptive evaluation), as well as the parameters requested as inputs and the outputs, all of which are considered important for the estimation procedure and the decision support approach. The tools were grouped as emission calculators and tools providing indicators in terms of more than one pillar of sustainability. The results suggest an absence of automatic consultation in decision support in most of the tools. Furthermore, dairy and beef cattle production systems are the most represented in the tools examined. This research confirms a number of important functionalities of modern GHG-based DS tools.


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