Beef cow–calf production system integrated with sugarcane production: Simulation model development and application in Japan

Gradiz, L.; Sugimoto, Akira; Ujihara, K.; Fukuhara, S.; Kahi, A.K.; Hirooka, Hiroyuki

doi:10.1016/j.agsy.2007.03.003

Cited by 17 publications

(5 citation statements)

References 6 publications

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“…Many previous modeling efforts have included the crop, live stock and soils components relevant for assessment of integration or intensification of mixed farming systems (e.g., Gradiz et al, 2007;Herrero et al, 2007;Castelan-Ortega et al, 2003); AusFarm;van Ittersum et al, 2008). These models represent a range of sys tems from the very specific, such as Gradiz et al (2007) that fo cuses on a beef-sugarcane system in Japan, to generic modeling systems such as IMPACT (Herrero et al, 2007). IMPACT is a useful generalized tool to characterize diverse crop-livestock systems, but lacks the ability to dynamically simulate scenarios based on these systems.…”

Section: Introductionmentioning

confidence: 99%

Development and evaluation of an integrated simulation model for assessing smallholder crop–livestock production in Yucatán, Mexico

Parsons

Nicholson

Blake

et al. 2011

Agricultural Systems

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Mixed farming systems constitute a large proportion of agricultural production in the tropics, and pro vide multiple benefits for the world's poor. However, our understanding of the functioning of these sys tems is limited. Modeling offers the best approach to quantify outcomes from many interacting causal variables in these systems. The objective of this study was to develop an integrated crop-livestock model to assess biophysical and economic consequences of farming practices exhibited in sheep systems of Yucatán state, Mexico. A Vensim™ dynamic stock-flow feedback model was developed to integrate sci entific and practical knowledge of management, flock dynamics, sheep production, partitioning of nutri ents, labor, and economic components. The model accesses sheep production and manure quantity and quality data generated using the Small Ruminant Nutrition System (SRNS), and interfaces on a daily basis with an Agricultural Production Systems Simulator (APSIM) model that simulates weather, crop, and soil dynamics. Model evaluation indicated that the integrated model adequately represents the complex interactions that occur between farmers, crops, and livestock.

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Section: Introductionmentioning

confidence: 99%

Development and evaluation of an integrated simulation model for assessing smallholder crop–livestock production in Yucatán, Mexico

Parsons

Nicholson

Blake

et al. 2011

Agricultural Systems

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“…Fort et al [ 86 ], for example, performed sensitivity analysis of parameters that have greater uncertainty, where they used parameter values 20% below and above the normal range to observe the magnitude of variation it brings to the output. Similarly, Gradiz et al [ 87 ] and Johnston et al [ 88 ] performed sensitivity analysis to assess the impacts of changing values of input variables on the respective model outputs. Another common technique of model evaluation was the comparison of simulation results with the available data, such as adopted by Diaz-Solis et al [ 89 ] and Ash et al [ 27 ].…”

Section: Discussionmentioning

confidence: 99%

Simulation Approaches Used for Management and Decision Making in the Beef Production Sector: A Systematic Review

Awasthi,

Morshed,

Williams

et al. 2024

Animals

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Simulation models are used in various areas of agriculture to better understand the system and assist in decision making. In the beef production sector, a variety of simulation research focusing on various dimensions of the system is available. However, an overview of the available research is lacking. Therefore, a systematic review was conducted to provide an overview of simulation studies of beef production and create an understanding of the simulation approaches used. Scopus, Web of Science, and ProQuest Central research databases were used to search the relevant articles, with the last search conducted in June 2023. Studies that developed or used simulation strategies and used beef cattle as a primary focus of the study were included. The 105 studies included in this review were examined thoroughly to record the authors, year of publication, country of study, type of study, focus area of the study, simulated scenarios, validation methods, and software programs used. There has been growing research interest in simulating beef production systems worldwide, with most studies conducted in North America and Europe. Among these studies, the majority (84.76%, n = 89) are biophysical or bioeconomic study types and use deterministic approaches (n = 42). Additionally, most studies have a whole-farm scope (38.09%, n = 40) and focus on productivity (51.43%, n = 54). Since only less than half of the studies mentioned the validation techniques and software programs used, there is a need to improve the availability of this information to ensure that the models are adopted effectively in decision making.

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“…In principle, the GSBM is a general simulation model that can be employed for the evaluation of beef production systems in Scotland. Nevertheless, it is highlighted in the literature that simulation models are not able to represent a real system completely and hence, they will have to be constantly improved (Gradiz et al, 2007). In addition, when developing a general model there will be a trade-off between a more practical approach for less accuracy and precision (Hirooka et al, 1998).…”

Section: Limitations Of Approach and Future Researchmentioning

confidence: 99%

A bio-economic model for cost analysis of alternative management strategies in beef finishing systems

Kamilaris

Dewhurst

Ahmadi

et al. 2020

Agricultural Systems

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Global population growth together with rising incomes is increasing the demand for meat-based products. This increases the need to optimize livestock production structures, whilst ensuring viable returns for the farmers. On a global scale, beef producers need tools to assist them to produce more high-quality products whilst maintaining economic efficiency. The Grange Scottish Beef Model (GSBM) was customized to simulate beef finishing enterprises using data from Scottish beef finishing studies, as well as agricultural input and output price datasets.Here we describe the model and its use to determine the cost-effectiveness of alternative current management practices (e.g. forage-and cereal-based finishing) and slaughter ages (i.e. short, medium or long finishing duration). To better understand drivers of profitability in beef finishing systems, several scenarios comparing finishing duration, gender, genetic selection of stock for growth rate or feed efficiency, as well as financial support were tested. There are opportunities for profitable and sustainable beef production in Scotland, for both cereal and forage based systems, particularly when aiming for a younger age profile at slaughtering. By careful choice of finishing systems matched to animal potential, as well as future selection of high performing and feed efficient cattle, beef finishers will be able to enhance performance and increase financial returns.

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Beef cow–calf production system integrated with sugarcane production: Simulation model development and application in Japan

Cited by 17 publications

References 6 publications

Development and evaluation of an integrated simulation model for assessing smallholder crop–livestock production in Yucatán, Mexico

Development and evaluation of an integrated simulation model for assessing smallholder crop–livestock production in Yucatán, Mexico

Simulation Approaches Used for Management and Decision Making in the Beef Production Sector: A Systematic Review

A bio-economic model for cost analysis of alternative management strategies in beef finishing systems

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