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  1. Article: Effect of wheat as a feedstuff in starter diets on nursery pig growth performance and digestibility

    Bloxham, D.J / C.R. Dove / M. Azain

    Livestock science. 2017,

    2017  

    Abstract: Two studies were conducted to determine if corn can be replaced by wheat and if wheat can be combined with corn distillers dried grains with solubles (DDGS) and a commercial carbohydrase in phase 2 and 3 nursery diets. In Exp. 1, 144 pigs were blocked by ...

    Abstract Two studies were conducted to determine if corn can be replaced by wheat and if wheat can be combined with corn distillers dried grains with solubles (DDGS) and a commercial carbohydrase in phase 2 and 3 nursery diets. In Exp. 1, 144 pigs were blocked by weight and randomly allotted to 6 dietary treatments: 0, 20, 40, 60, 80, and 100% wheat replacing corn. In Exp. 2, 210 pigs were blocked by weight and randomly allotted to 5 dietary treatments: control diet (CO); 30% wheat (W); wheat with carbohydrase (W + Enz); 30% wheat with 30% corn DDGS (WCD); and WCD with carbohydrase (WCD + Enz). In both experiments, pigs were fed a standard phase 1 diet from d 0 to 7 post-weaning. In both experiments, TiO2 was used as an indigestible marker to determine apparent total tract digestibility (ATTD) of N, ether extract (EE), gross energy (GE), P, neutral detergent fiber (NDF), and acid detergent fiber (ADF). In Exp.1, there was a quadratic effect of increasing wheat on overall (d 0 to 35) average daily gain (ADG, P< 0.05). There was a linear effect of increasing wheat on gain to feed ratio (G:F, P< 0.05). Overall there were no changes in average daily feed intake (ADFI). Apparent digestibility of N, P, and ADF increased with increasing wheat in phase 2 (P< 0.05). The digestibility of N, EE, GE, P, and NDF increased linearly with increasing wheat in phase 3 (P< 0.05). In Exp. 2, the ADG of pigs fed W did not differ from the control, while those fed WCD had greater gain (P< 0.05). Pigs fed the diets supplemented with carbohydrase had reduced ADG (P< 0.05) compared to the unsupplemented diets. There was an increase in N, P, and GE digestibility with DDGS diets in phase 2 (P< 0.001). Carbohydrase supplementation increased N, EE, ADF, and NDF digestibility in phase 2 (P< 0.01), and ADF and NDF digestibility in phase 3 (P< 0.01). In phase 3, P digestibility increased and GE digestibility decreased when DDGS was added. The results demonstrate that wheat can be fully or partially substituted for corn in nursery diets. In this study, the addition of carbohydrase enzymes improved nutrient digestibility, but resulted in poorer growth performance.
    Keywords acid detergent fiber ; average daily gain ; corn ; dietary supplements ; digestibility ; distillers grains ; energy ; enzymes ; feed intake ; growth performance ; neutral detergent fiber ; starter diets ; swine ; swine feeding ; titanium dioxide ; wheat
    Language English
    Size p. .
    Publishing place Elsevier B.V.
    Document type Article
    Note Pre-press version
    ZDB-ID 2226176-X
    ISSN 1878-0490 ; 1871-1413
    ISSN (online) 1878-0490
    ISSN 1871-1413
    DOI 10.1016/j.livsci.2017.11.016
    Database NAL-Catalogue (AGRICOLA)

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  2. Article: Effect of wheat as a feedstuff in starter diets on nursery pig growth performance and digestibility

    Bloxham, D. J. / Dove, C. R. / Azain, M.

    Livestock science

    2018  Volume 207, Issue -, Page(s) 98

    Language English
    Document type Article
    ZDB-ID 2226176-X
    ISSN 1871-1413
    Database Current Contents Nutrition, Environment, Agriculture

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  3. Article: Choosing sample sizes for various blood parameters of broiler chickens with normal and non-normal observations

    Nunes, R V / Billard, L / Bloxham, D J / Broch, J / Damasceno, J L / de Souza, C / Oxford, J H / Pesti, G M / Wachholz, L

    Poultry science. 2018 Oct. 01, v. 97, no. 10

    2018  

    Abstract: Experimental power is a measure of the ability of an experiment to detect differences between treatment means. Researchers design experiments and then calculate the probability that differences are simply due to chance, the null hypothesis. The objective ...

    Abstract Experimental power is a measure of the ability of an experiment to detect differences between treatment means. Researchers design experiments and then calculate the probability that differences are simply due to chance, the null hypothesis. The objective of the analyses reported here was to determine the appropriate number of samples to demonstrate significant differences of various magnitudes from broiler chicken blood constituents. Over 800 samples were taken for a study of the effects of sample storage time, serum vs. plasma, light intensity, and fed vs. fasted birds on blood cholesterol, triglycerides, uric acid, glucose, total protein (TP), albumin, globulin, alanine aminotransferase (ALT), aspartate aminotransferase, gammaGT, creatinine, alkaline phosphatase, Ca and P. Various transformations increased the QQ plot R2 values from 0.000 to 0.149 or 0.00 to 17.62%. Most of the QQ plot R2 values were at or above 0.90. The 1/x2 transformation of blood P data showed the biggest increase in QQ plot R2 (0.846 to 0.995). The different standard deviations and coefficients of variation (CVs) found for each variable resulted in widely different numbers of replicates needed to detect differences in 2 treatment means. The extremes were glucose with a CV of 6.9% and ALT with a CV of 39.7%. For glucose, 15 replicates are needed to find a 10% difference in 97% of experiments; for ALT, 15 replicates would detect a 50% difference 91% of the time. The use of parameters such as cholesterol, glucose, TP, albumin, and globulin showed low CVs, indicating they may be considered as stable parameters. The lower CVs make it possible to find differences with a smaller number of replicates used in studies. As reported, the phosphorus values did not have a normal distribution of the data, so a transformation of these data could be an alternative to better discuss the results found.
    Keywords alanine transaminase ; albumins ; alkaline phosphatase ; aspartate transaminase ; blood composition ; blood serum ; broiler chickens ; calcium ; cholesterol ; creatinine ; food deprivation ; globulins ; glucose ; light intensity ; normal distribution ; phosphorus ; probability ; protein content ; standard deviation ; storage time ; triacylglycerols ; uric acid
    Language English
    Dates of publication 2018-1001
    Size p. 3746-3754.
    Publishing place Poultry Science Association, Inc.
    Document type Article
    ZDB-ID 242586-5
    ISSN 1525-3171 ; 0032-5791
    ISSN (online) 1525-3171
    ISSN 0032-5791
    DOI 10.3382/ps/pey217
    Database NAL-Catalogue (AGRICOLA)

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  4. Article ; Online: Choosing sample sizes for various blood parameters of broiler chickens with normal and non-normal observations.

    Nunes, R V / Broch, J / Wachholz, L / de Souza, C / Damasceno, J L / Oxford, J H / Bloxham, D J / Billard, L / Pesti, G M

    Poultry science

    2018  Volume 97, Issue 10, Page(s) 3746–3754

    Abstract: Experimental power is a measure of the ability of an experiment to detect differences between treatment means. Researchers design experiments and then calculate the probability that differences are simply due to chance, the null hypothesis. The objective ...

    Abstract Experimental power is a measure of the ability of an experiment to detect differences between treatment means. Researchers design experiments and then calculate the probability that differences are simply due to chance, the null hypothesis. The objective of the analyses reported here was to determine the appropriate number of samples to demonstrate significant differences of various magnitudes from broiler chicken blood constituents. Over 800 samples were taken for a study of the effects of sample storage time, serum vs. plasma, light intensity, and fed vs. fasted birds on blood cholesterol, triglycerides, uric acid, glucose, total protein (TP), albumin, globulin, alanine aminotransferase (ALT), aspartate aminotransferase, gammaGT, creatinine, alkaline phosphatase, Ca and P. Various transformations increased the QQ plot R2 values from 0.000 to 0.149 or 0.00 to 17.62%. Most of the QQ plot R2 values were at or above 0.90. The 1/x2 transformation of blood P data showed the biggest increase in QQ plot R2 (0.846 to 0.995). The different standard deviations and coefficients of variation (CVs) found for each variable resulted in widely different numbers of replicates needed to detect differences in 2 treatment means. The extremes were glucose with a CV of 6.9% and ALT with a CV of 39.7%. For glucose, 15 replicates are needed to find a 10% difference in 97% of experiments; for ALT, 15 replicates would detect a 50% difference 91% of the time. The use of parameters such as cholesterol, glucose, TP, albumin, and globulin showed low CVs, indicating they may be considered as stable parameters. The lower CVs make it possible to find differences with a smaller number of replicates used in studies. As reported, the phosphorus values did not have a normal distribution of the data, so a transformation of these data could be an alternative to better discuss the results found.
    MeSH term(s) Animals ; Blood Chemical Analysis/methods ; Blood Chemical Analysis/veterinary ; Chickens/blood ; Fasting ; Light ; Male ; Plasma/chemistry ; Sample Size ; Serum/chemistry ; Time Factors
    Language English
    Publishing date 2018-07-16
    Publishing country England
    Document type Journal Article
    ZDB-ID 242586-5
    ISSN 1525-3171 ; 0032-5791
    ISSN (online) 1525-3171
    ISSN 0032-5791
    DOI 10.3382/ps/pey217
    Database MEDical Literature Analysis and Retrieval System OnLINE

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