scholarly journals Economic Returns from Cereal and Cereal/Vetch Forage Crops Grown as Fodder Conservation Options for Beef and Sheepmeat Production

Agriculture ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 664
Author(s):  
John W. Piltz ◽  
Craig A. Rodham ◽  
John F. Wilkins ◽  
Belinda F. Hackney ◽  
Colin G. Brown

The economic return from cereal or cereal/vetch crops was determined using previously published and new agronomic and herbage quality data from experiments conducted at four sites across southern New South Wales, Australia, over four years (2008 to 2011), to evaluate the agronomic and quality parameters of two wheat (Triticum aestivum L.), two barley (Hordeum vulgare L.), two oat (Avena sativa L.), and one triticale (x Triticosecale) variety, grown as monocultures or in combination with purple vetch (Vicia benghalensis L.). The crops (n = 193) were harvested at different stages of cereal maturity and ranged in metabolisable energy (ME) from 6.9 to 13.1 MJ/kg DM and crude protein (CP) content from 49.8 to 215.4 g/kg DM. Individual crop ME and CP content was used to predict dry matter intake and liveweight gain using Grazfeed decision support tool, assuming the forages were fed as the sole diet to either crossbred lambs or British breed steers, with initial liveweights of 30 or 300 kg respectively. Animal parameters and yield were used to estimate gross margins (GM) for each crop based on estimated fixed and variable costs, including sowing and fertiliser costs, and harvesting and feedout costs. Feed quality determined animal production and potential income per animal, while yield determined potential income per hectare for any given level of animal production. Across the three years GM ranged from −$1489 to $5788 in sheep and from −$1764 to $647 in cattle. Reducing costs or increasing livestock value improved the GM. The highest GM were for lambs fed crops with high ME, adequate CP, and good yields. Increasing yield reduced the GM when growth rates were low, and costs exceeded the value of liveweight gain.

2011 ◽  
Vol 63 (9) ◽  
pp. 1873-1879 ◽  
Author(s):  
John Hunt ◽  
Martin Anda ◽  
Goen Ho

Alternate water sources are being implemented in urban areas to augment scheme water supplied by a water utility to homes. These sources include residential wells, rainwater tanks and greywater systems. Greater water efficiency can be achieved when these systems are designed to match a water source to a given demand based on both water quantity and quality parameters. In this way the use of an alternate water source can be maximised and the use of the high quality scheme water minimised. This paper examines the use of multiple alternate water sources sequentially to supply the same demand point potentially optimising the use of all available water sources. It also allows correct sizing of such water systems and their components to reduce scheme water demand. A decision support tool based on water balance modelling was developed that considers such water options at the household scale. Application of this tool to eight scenarios for both large and small house lots shows that using alternate water sources individually can result in significant scheme water savings. However by integrating these sources additional scheme water saving can be made.


2000 ◽  
Vol 40 (2) ◽  
pp. 247 ◽  
Author(s):  
S. G. Clark ◽  
J. R. Donnelly ◽  
A. D. Moore

The GrassGro decision support tool combines animal intake and nutrition models, soil moisture and pasture growth models with management rules. GrassGro simulates pasture and animal production using a wide range of pasture species and sheep and cattle enterprises. Data from the Temperate Pasture Sustainability Key Program grazing management sites were used to validate the predictions of GrassGro. The pasture and animal production from a diverse range of sites were successfully simulated. Limitations of GrassGro were identified (parameter sets not available for some pasture species, inability to simulate clumpy swards, rudimentary interspecies competition model) and some improvements were made to its performance (improved species parameter sets and improved modeling of rooting depth). Recommendations are made on priority areas of research to improve GrassGro and on improvements in methodology which could be adopted by future programs like Temperate Pasture Sustainability Key Program.


2017 ◽  
Vol 98 (7) ◽  
pp. 1349-1361 ◽  
Author(s):  
Rezaul Mahmood ◽  
Ryan Boyles ◽  
Kevin Brinson ◽  
Christopher Fiebrich ◽  
Stuart Foster ◽  
...  

Abstract Mesoscale in situ meteorological observations are essential for better understanding and forecasting the weather and climate and to aid in decision-making by a myriad of stakeholder communities. They include, for example, state environmental and emergency management agencies, the commercial sector, media, agriculture, and the general public. Over the last three decades, a number of mesoscale weather and climate observation networks have become operational. These networks are known as mesonets. Most are operated by universities and receive different levels of funding. It is important to communicate the current status and critical roles the mesonets play. Most mesonets collect standard meteorological data and in many cases ancillary near-surface data within both soil and water bodies. Observations are made by a relatively spatially dense array of stations, mostly at subhourly time scales. Data are relayed via various means of communication to mesonet offices, with derived products typically distributed in tabular, graph, and map formats in near–real time via the World Wide Web. Observed data and detailed metadata are also carefully archived. To ensure the highest-quality data, mesonets conduct regular testing and calibration of instruments and field technicians make site visits based on “maintenance tickets” and prescheduled frequencies. Most mesonets have developed close partnerships with a variety of local, state, and federal-level entities. The overall goal is to continue to maintain these networks for high-quality meteorological and climatological data collection, distribution, and decision-support tool development for the public good, education, and research.


2020 ◽  
Vol 24 (1) ◽  
pp. 89-98
Author(s):  
Justyna Belcar ◽  
Natalia Matłok ◽  
Józef Gorzelany

AbstractThe study was designed to assess technological quality of grains from two wheat cultivars (Elixer and Rockefeller), as well as one cultivar of winter (Joy) and one cultivar of spring barley (Irina), and to carry out the malting process at temperature of 15°C for 5 days. Malt analyses were carried out in accordance with the ECB Methods. The wheat malts were found with lower Kolbach index, and high viscosity was identified in wort obtained from wheat. The findings related to the wheat malts showed better quality parameters in Elixer variety compared to Rockefeller variety. Elixer wheat malt had higher diastatic power (427.03 WK) and lower extractivity (81.85%) compared to Joy barley malt (376.12 WK and 85.79%). Laboratory tests assessing the malts and wort showed that winter barley grain has high malting quality and can be used without modifications in the malting and mashing processes in brewing industry. It is necessary to conduct further research focusing on cultivation, agricultural techniques and technologies applied in wheat farming, in order to obtain cultivars which can be used to produce high quality malts.


Author(s):  
Lilian Monteiro Ferrari Viterbo ◽  
André Santana Costa ◽  
Diogo Guedes Vidal ◽  
Maria Alzira Pimenta Dinis

The present study aimed to present and validate the Worker´s Healthcare Assistance Model (WHAM), which includes an interdisciplinary approach to health risk management in search of integral and integrated health, considering economic sustainability. Through the integration of distinct methodological strategies, WHAM was developed in the period from 2011 to 2018, in a workers’ occupational health centre in the oil industry in Bahia, Brazil. The study included a sample of 965 workers, 91.7% of which were men, with a mean age of 44.9 years (age ranged from 23 to 73 years). The Kendall rank correlation coefficient and hierarchical multiple regression analysis were used for the validation of WHAM. The assessment of sustainable return on investment (S-ROI) was made using the WELLCAST ROI™ decision support tool, covering workers with heart disease and diabetes. WHAM can be considered an innovative healthcare model, as there is no available comparative model. WHAM is considered robust, with 86% health risk explanatory capacity and with an 85.5% S-ROI. It can be concluded that WHAM is a model capable of enhancing the level of workers’ health in companies, reducing costs for employers and improving the quality of life within the organization.


1997 ◽  
Vol 77 (2) ◽  
pp. 231-235 ◽  
Author(s):  
E. G. Smith ◽  
J. M. Barbieri ◽  
J. R. Moyer ◽  
D. E. Cole

In moist regions and under irrigation in western Canada, there may be an economic advantage to using companion crops in forage establishment. Economic returns of establishing a mixture of alfalfa (Medicago sativa L.) and bromegrass (Bromus spp.) were determined with and without a companion crop of barley grain and silage (Hordeum vulgare L.) and with and without post-emergence herbicides at Westlock, Alberta under dryland, and with and without a companion crop of soft white spring wheat (Triticum aestivum L.) and with and without post emergence herbicides at Lethbridge, Alberta under irrigation conditions. The yearly economic benefit of companion crops was greater on irrigation than on dryland ($15 to $27 ha−1), higher for companion crops harvested for silage than for grain ($55 to $75 ha−1), and was dependent on the price of forage and grain. On dryland with medium product price levels, economic returns were 100% higher for a barley silage companion crop, and were 14% lower for a barley grain companion crop than without a companion crop. At high hay prices, returns for the barley silage companion crop were 5% higher than without a companion crop. On irrigation, the yearly economic returns with a companion crop were higher ($23 to $139 ha−1) than without a companion crop. The use of post-emergence herbicides had no long-term economic benefit for forage establishment and reduced yearly net returns $13 ha−1 on dryland and $41 ha−1 on irrigation. Key words: Companion crop, forage establishment, economics, herbicide


Author(s):  
Vassilios Triantafyllidis ◽  
Achilleas Kontogeorgosa Chariklia Kosma ◽  
Angelos Patakas

Soil quality is a complex functional concept, which cannot be measured directly but only be inferred from both soil characteristics and cultivation practices. Among different approaches used, Soil Quality Index (SQI) is considered to be the most appropriate for quantitative assessment of soil quality. Since, there is no standard method for SQI estimation, the aim of this study is to identify soil quality parameters that could be used for the development of reliable SQI which could be effectively applied in Mediterranean ecosystems. Three different methods resulting in different SQIs were evaluated regarding their ability to monitor changes in agricultural soil properties over time. Overall, a set of soil’s parameters was used as soil health indicators (pH, CaCO3, EC, NO3-N, P, K, Mg, Cu, B, Zn, Fe, Mn, Silt, Clay, Sand and SOC) derived from 605 soil samples used to calculate the above SQIs. The most reliable SQI to distinguish the effect of the examined parameters was the weighted additive approach. These 16 soil indicators can be used as decision support tool for soil management practices, as well as indirect measures of soil function, serving to assess soil health for a sustainable Mediterranean agro-environment.


Genome ◽  
2020 ◽  
Vol 63 (9) ◽  
pp. 445-457
Author(s):  
Richard R.-C. Wang ◽  
Xingfeng Li ◽  
Matthew D. Robbins ◽  
Steve R. Larson ◽  
Shaun B. Bushman ◽  
...  

Bluebunch wheatgrass (referred to as BBWG) [Pseudoroegneria spicata (Pursh) Á. Löve] is an important rangeland Triticeae grass used for forage, conservation, and restoration. This diploid has the basic St genome that occurs also in many polyploid Triticeae species, which serve as a gene reservoir for wheat improvement. Until now, the St genome in diploid species of Pseudoroegneria has not been mapped. Using a double-cross mapping populations, we mapped 230 expressed sequence tag derived simple sequence repeat (EST-SSR) and 3468 genotyping-by-sequencing (GBS) markers to 14 linkage groups (LGs), two each for the seven homologous groups of the St genome. The 227 GBS markers of BBWG that matched those in a previous study helped identify the unclassified seven LGs of the St sub-genome among 21 LGs of Thinopyrum intermedium (Host) Barkworth & D.R. Dewey. Comparisons of GBS sequences in BBWG to whole-genome sequences in bread wheat (Triticum aestivum L.) and barley (Hordeum vulgare L.) revealed that the St genome shared a homology of 35% and 24%, a synteny of 86% and 84%, and a collinearity of 0.85 and 0.86, with ABD and H, respectively. This first-draft molecular map of the St genome will be useful in breeding cereal and forage crops.


Water ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2836
Author(s):  
Seyed M. K. Sadr ◽  
Matthew B. Johns ◽  
Fayyaz A. Memon ◽  
Andrew P. Duncan ◽  
James Gordon ◽  
...  

Despite considerable efforts to improve water management, India is becoming increasingly water stressed due to multiple factors, including climate change, increasing population, and urbanization. We address one of the most challenging problems in the design of water treatment plants: how to select a suitable technology for a specific scenario or context. The process of decision making first requires the identification of feasible treatment configurations based on various objectives and criteria. In addition, the multiplicity of water quality parameters and design variables adds further complexity to the process. In this study, we propose a novel Decision Support Tool (DST), designed to address and support the above challenges. In this user-friendly tool, both Multi-Criteria Decision Analysis (MCDA) and Multi-Objective Optimization (MOO) methods are employed. The integration of MCDA with MOO facilitates the generation of feasible drinking water treatment solutions, identifies optimal options, and ultimately, improves the process of decision making. This implemented approach has been tested for different contexts, including for different types of raw water sources and system implementation scales. The results show that this tool can enhance the process of decision making, supporting the user (e.g., stakeholders and decision makers) to implement the most suitable water treatment systems, keeping in view the trade-offs.


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