Evaluation of the inclusion of soybean oil and soybean processing by-products to soybean meal on nutrient composition and digestibility in swine and poultry

In this paper, we evaluate the downside risk of six major agricultural commodities – corn, wheat, soybeans, soybean meal, soybean oil and oats. For research purposes, we first use an optimal generalised autoregressive conditional heteroscedasticity (GARCH) model to create residuals, which we later use for measuring downside risks via parametric and semiparametric approaches. Modified value-at-risk (mVaR) and modified conditional value-at-risk (mCVaR) provide more accurate downside risk results than do ordinary value-at-risk (VaR) and conditional value-at-risk (CVaR). We report that soybean oil has the lowest mVaR and mCVaR because it has two very favourable features – skewness around zero and low kurtosis. The second-best commodity is soybeans. The worst-performing downside risk results are in wheat and oats, primarily because of their very high kurtosis values. On the basis of the results, we propose to investors and various agents involved with these agricultural assets that they reduce the risk of loss by combining these assets with other financial or commodity assets that have low risk.

Download Full-text

Physicochemical characteristics of meat of nellore steers supplemented with or without addition of lipids

Bioscience Journal ◽

10.14393/bj-v36n4a2020-42295 ◽

2020 ◽

Vol 36 (4) ◽

Author(s):

Clóvis Carlos Silveira Filho ◽

Carlos Augusto de Alencar Fontes ◽

Elizabeth Fonsêca Processi ◽

Laila Cecília Ramos Bendia ◽

Cláudio Teixeira Lombardi ◽

...

Keyword(s):

Body Weight ◽

Soybean Oil ◽

Meat Quality ◽

Soybean Meal ◽

Shear Force ◽

Sarcomere Length ◽

Physicochemical Characteristics ◽

Panicum Maximum

The aim of research was to evaluate the meat quality of Nellore young bulls in grazing supplemented with or without addition of lipids. Twenty–four young bulls, 301 ± 5.8 kg in body weight, were used in the experiment and randomly distributed into four groups according to treatment: only Panicum maximum cv. Mombasa grass; Mombasa grass with concentrated supplementation based on soybean meal; Mombasa grass with concentrate containing lipids from soybean oil; and Mombasa grass with concentrate containing lipids derived from soybean grains. There were no differences (P>0.05) between the treatments for temperature, pH, thawing, cooking and total losses, shear force, sarcomere length and collagen in bulls. Nellore young bulls raised in fertilized and irrigated Mombasa grass fed Mombasa grass only or supplemented with or without addition of lipids were similar regarding meat quality.

Download Full-text

Supplementation of glycine, prebiotic, and nucleotides in soybean meal-based diets for largemouth bass (Micropterus salmoides): Effects on production performance, whole-body nutrient composition and retention, and intestinal histopathology

Aquaculture ◽

10.1016/j.aquaculture.2020.736031 ◽

2021 ◽

Vol 532 ◽

pp. 736031

Author(s):

Waldemar Rossi ◽

Kristy M. Allen ◽

Habte-Michael Habte-Tsion ◽

Kala-Mallik Meesala

Keyword(s):

Soybean Meal ◽

Largemouth Bass ◽

Micropterus Salmoides ◽

Nutrient Composition ◽

Production Performance ◽

Whole Body

Download Full-text

Cost Estimates for Soybean Processing and Soybean Oil Refining

Practical Handbook of Soybean Processing and Utilization ◽

10.1016/b978-0-935315-63-9.50030-9 ◽

1995 ◽

pp. 519-535

Author(s):

Richard J. Fiala

Keyword(s):

Soybean Oil ◽

Oil Refining ◽

Cost Estimates ◽

Soybean Processing

Download Full-text

Effects of concentrates rich in by-products on growth performance, carcass characteristics and meat quality traits of light lambs

Animal Production Science ◽

10.1071/an17798 ◽

2019 ◽

Vol 59 (3) ◽

pp. 593 ◽

Cited By ~ 1

Author(s):

C. Avilés Ramírez ◽

F. Peña Blanco ◽

A. Horcada Ibáñez ◽

N. Núñez Sánchez ◽

F. Requena Domenech ◽

...

Keyword(s):

Growth Performance ◽

Meat Quality ◽

Soybean Meal ◽

Carcass Characteristics ◽

Quality Traits ◽

Meat Quality Traits ◽

Alternative Ingredients ◽

Camelina Meal ◽

Feedlot Lambs ◽

By Products

The effects of feeding concentrates with alternative ingredients to cereal and soybean meal on growth performance, carcass characteristics and meat quality traits of feedlot lambs were studied. A total of 105 non-castrated male lambs were randomly assigned to one of three treatments (5 replicates per treatment): Control (CON, similar to commercial concentrates), Camelina (CAM, where camelina meal replaced 50% of the crude protein from the soybean meal in the CON concentrate), and Fibrous (FIB, concentrate without cereals and soybean meal, with camelina meal in addition to several by-products, and 20% less energy). The CAM treatment performed as well as the CON one. The FIB treatment increased feed conversion rate and tended to improve the redness and the oxidative stability. The CAM and FIB were economically more favourable. We found that a concentrate for feedlot lambs based on alternative ingredients, including several by-products, could be a feasible alternative to typical cereal-soybean meal-based concentrates.

Download Full-text

Forecasting Basis Levels in the Soybean Complex: A Comparison of Time Series Methods

Journal of Agricultural and Applied Economics ◽

10.1017/s1074070800022586 ◽

2006 ◽

Vol 38 (3) ◽

pp. 513-523 ◽

Cited By ~ 7

Author(s):

Dwight R. Sanders ◽

Mark R. Manfredo

Keyword(s):

Time Series ◽

Soybean Oil ◽

Soybean Meal ◽

Vector Autoregression ◽

Moving Average ◽

Exponential Smoothing ◽

Forecast Evaluation ◽

Time Series Modeling ◽

Var Models ◽

Smoothing Techniques

A battery of time series methods are compared for forecasting basis levels in the soybean futures complex: soybeans, soybean meal, and soybean oil. Specifically, nearby basis forecasts are generated with exponential smoothing techniques, autoregression moving average (ARMA), and vector autoregression (VAR) models. The forecasts are compared to those of the 5-year average, year ago, and no change methods. Using the 5-year average as the benchmark method, the forecast evaluation results suggest that alternative naive techniques may produce better forecasts, and the improvement gained by time series modeling is relatively small. In this sample, there is little evidence that the basis has become systematically more difficult to forecast in recent years.

Download Full-text