Literature DB >> 10641873

Variability among sources and laboratories in nutrient analyses of corn and soybean meal. NCR-42 Committee on Swine Nutrition. North Central Regional-42.

G L Cromwell1, C C Calvert, T R Cline, J D Crenshaw, T D Crenshaw, R A Easter, R C Ewan, C R Hamilton, G M Hill, A J Lewis, D C Mahan, E R Miller, J L Nelssen, J E Pettigrew, L F Tribble, T L Veum, J T Yen.   

Abstract

A cooperative research study involving members of a regional committee (North Central Regional Committee on Swine Nutrition [NCR-42]) was conducted to assess the variability in nutrient composition (DM, CP, Ca, P, Se, and amino acids) of corn and soybean meal from 16 sources (15 states, mostly in the Midwest) and to assess the analytical variability in nutrient assays among 22 laboratories (labs; 16 experiment station labs and six commercial labs). Corn samples were obtained from each participating station's feed mill during a 3-yr period (1989, 1990, and 1992), as were soybean meal samples during a 2-yr period (1989 and 1990). Both regular soybean meal (with hulls) and dehulled soybean meal were represented in the study. Samples were analyzed for DM and CP by all 22 labs, for Ca and P by 15 labs, for amino acids by 10 labs, and for Se by 6 labs. Each lab used its own analytical procedures. Samples of corn and soybean meal varied in their nutrient composition depending on the area of origin. The greatest variation among sources was in Se concentration, ranging from .02 to .29 mg/kg in corn and .08 to .95 mg/kg in soybean meal. Crude protein and lysine in corn were positively correlated, but the regression coefficient was low (r2 = .49). The relationship between CP and lysine for the two soybean meals combined was considerably stronger (r2 = .81). Lysine in corn increased by .018 percentage point and lysine in soybean meal (regular and dehulled combined) increased by .063 percentage point for each 1 percentage point increase in CP. Except for CP and Se, the analytical variability among labs was as great as, and in some cases greater than, the variability in nutrient composition among sources of corn and soybean meal. Within-lab analytical variability tended to be less than among-lab variability. Some labs performed certain analyses with considerably less variability and more accuracy than others.

Entities:  

Mesh:

Year:  1999        PMID: 10641873     DOI: 10.2527/1999.77123262x

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  10 in total

1.  Nutritional composition, gross energy concentration, and in vitro digestibility of dry matter in 46 sources of bakery meals.

Authors:  Yanhong Liu; Rajesh Jha; Hans H Stein
Journal:  J Anim Sci       Date:  2018-11-21       Impact factor: 3.159

2.  Technical Note: Assessment of sampling technique from feeders for copper, zinc, calcium, and phosphorous analysis.

Authors:  Aaron M Jones; Jason C Woodworth; Christopher I Vahl; Mike D Tokach; Robert D Goodband; Joel M DeRouchey; Steve S Dritz
Journal:  J Anim Sci       Date:  2018-11-21       Impact factor: 3.159

Review 3.  Measures Matter-Determining the True Nutri-Physiological Value of Feed Ingredients for Swine.

Authors:  Gerald C Shurson; Yuan-Tai Hung; Jae Cheol Jang; Pedro E Urriola
Journal:  Animals (Basel)       Date:  2021-04-27       Impact factor: 2.752

4.  Food composition database development for between country comparisons.

Authors:  Anwar T Merchant; Mahshid Dehghan
Journal:  Nutr J       Date:  2006-01-19       Impact factor: 3.271

5.  Optimizing Production of Two Potential Probiotic Lactobacilli Strains Isolated from Piglet Feces as Feed Additives for Weaned Piglets.

Authors:  Ming-Lun Chiang; Hsi-Chia Chen; Kun-Nan Chen; Yu-Chun Lin; Ya-Ting Lin; Ming-Ju Chen
Journal:  Asian-Australas J Anim Sci       Date:  2015-08       Impact factor: 2.509

6.  Effect of xylanase on performance and apparent metabolisable energy in starter broilers fed diets containing one maize variety harvested in different regions of china.

Authors:  H V Masey O'Neill; N Liu; J P Wang; A Diallo; S Hill
Journal:  Asian-Australas J Anim Sci       Date:  2012-04       Impact factor: 2.509

7.  Improved Production of Sublancin 168 Biosynthesized by Bacillus subtilis 168 Using Chemometric Methodology and Statistical Experimental Designs.

Authors:  Shengyue Ji; Weili Li; Haiyun Xin; Shan Wang; Binyun Cao
Journal:  Biomed Res Int       Date:  2015-08-03       Impact factor: 3.411

8.  Predicting corn digestible and metabolizable energy content from its chemical composition in growing pigs.

Authors:  Quanfeng Li; Jianjun Zang; Dewen Liu; Xiangshu Piao; Changhua Lai; Defa Li
Journal:  J Anim Sci Biotechnol       Date:  2014-02-13

9.  Variability in nutrient composition of cereal grains from different origins.

Authors:  Jinyoung Lee; Doo Seok Nam; Changsu Kong
Journal:  Springerplus       Date:  2016-04-06

10.  Prediction of the total and standardized ileal digestible amino acid contents from the chemical composition of soybean meals of different origin in broilers.

Authors:  Behzad Sadighi Sheikhhasan; Hossein Moravej; Mahmoud Shivazad; Fateme Ghaziani; Enric Esteve-Garcia; Woo Kyun Kim
Journal:  Poult Sci       Date:  2020-07-04       Impact factor: 3.352

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.