scholarly journals Beef Cattle Price and Production Patterns in Relation to Drought in New Mexico

2021 ◽  
Vol 13 (18) ◽  
pp. 10420
Author(s):  
Ashraf J. Zaied ◽  
Hatim M. E. Geli ◽  
Andres F. Cibils ◽  
Mohammed N. Sawalhah ◽  
Jerry L. Holechek ◽  
...  

Understanding the fluctuations in monthly and annual cattle prices plays a key role in supporting the sustainability of New Mexico’s (NM’s), United States (US), beef cattle industry under variable environmental conditions. The goal of this study was to provide an improved understanding of NM’s beef cattle production systems in terms of prices and production patterns and related drought impacts. The main objectives were to evaluate monthly and annual prices patterns for heifers and steers (cattle) and calves, the relationships between annual cattle prices and inventory and drought, and the effects of drought on ranch net return. Drought events were assessed using the Self-Calibrated Palmer Drought Severity Index (9SC-PDSI). The generalized autoregressive conditional heteroscedasticity models and their exponential version were used to investigate the effects of drought and cattle supply on cattle prices, and the effects of drought on ranch net return. Spectral analysis and timeseries decomposition were used to identify the cycles of the annual price and numbers of cattle and calf. Coherence analysis was used to examine the relationships between inventory of cattle classes and drought. The results indicated that prices of cattle and calf usually drop in October through January and peak in April. The inventory of replacement heifers and steers were negatively related to cattle prices, while the inventory of calves was positively related to calf prices. Cattle and calf prices showed negative linear relationships with droughts. Annual cattle and calf prices showed 6- and 10-year cycles, while their inventory showed 6- and 8- year cycles, respectively. Our finding suggested that a rancher can still earn some net return when drought falls within the “Abnormally Dry” category of the US Drought Monitor. However, a rancher with a large herd or ranch size can endure drought more than a rancher with a medium herd or ranch size and reach the breakeven point. Specifically, the net return ($/head) is expected to increase (or decrease) by $62.29, $60.51, and $64.07 per head if the SC-PDSI increase (or decrease) by one unit in all large and medium ranch sizes, respectively. The effects of drought on ranch net return that we identified need further improvements using additional data. Due to NM’s location and the diversity of its rangeland, understanding the response of cattle prices to drought and beef cattle supply based on these findings can be used to help NM’s ranchers and those in other similar regions make informed ranch management decisions. These findings can also support the development of improved understanding of beef cattle production systems regionally.

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 ◽  
...  

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.


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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