Literature DB >> 17565069

Comparative evaluation of mathematical functions to describe growth and efficiency of phosphorus utilization in growing pigs.

E Kebreab1, M Schulin-Zeuthen, S Lopez, J Soler, R S Dias, C F M de Lange, J France.   

Abstract

Success of pig production depends on maximizing return over feed costs and addressing potential nutrient pollution to the environment. Mathematical modeling has been used to describe many important aspects of inputs and outputs of pork production. This study was undertaken to compare 4 mathematical functions for the best fit in terms of describing specific data sets on pig growth and, in a separate experiment, to compare these 4 functions for describing of P utilization for growth. Two data sets with growth data were used to conduct growth analysis and another data set was used for P efficiency analysis. All data sets were constructed from independent trials that measured BW, age, and intake. Four growth functions representing diminishing returns (monomolecular), sigmoidal with a fixed point of inflection (Gompertz), and sigmoidal with a variable point of inflection (Richards and von Bertalanffy) were used. Meta-analysis of the data was conducted to identify the most appropriate functions for growth and P utilization. Based on Bayesian information criteria, the Richards equation described the BW vs. age data best. The additional parameter of the Richards equation was necessary because the data required a lower point of inflection (138 d) than the Gompertz, with a fixed point of inflexion at 1/e times the final BW (189 d), could accommodate. Lack of flexibility in the Gompertz equation was a limitation to accurate prediction. The monomolecular equation was best at determining efficiencies of P utilization for BW gain compared with the sigmoidal functions. The parameter estimate for the rate constant in all functions decreased as available P intake increased. Average efficiencies during different stages of growth were calculated and offer insight into targeting stages where high feed (nutrient) input is required and when adjustments are needed to accommodate the loss of efficiency and the reduction of potential pollution problems. It is recommended that the Richards and monomolecular equations be included in future growth and nutrient efficiency analyses.

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Year:  2007        PMID: 17565069     DOI: 10.2527/jas.2006-738

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


  6 in total

1.  A Holistic Approach to Evaluating Linear and Non-Linear Mixed Models to Predict Phosphorus Retention in Growing and Finishing Pigs.

Authors:  Christopher D Powell; Jennifer L Ellis; Raquel S Dias; Secundino López; James France
Journal:  Animals (Basel)       Date:  2022-06-22       Impact factor: 3.231

2.  Transcriptome Analysis of Liangshan Pig Muscle Development at the Growth Curve Inflection Point and Asymptotic Stages Using Digital Gene Expression Profiling.

Authors:  Linyuan Shen; Jia Luo; Jingjing Du; Chendong Liu; Xiaoqian Wu; Qiang Pu; Yuhua Fu; Qianzi Tang; Yuanrui Liu; Qiang Li; Runlin Yang; Xuewei Li; Guoqing Tang; Yanzhi Jiang; Mingzhou Li; Shunhua Zhang; Li Zhu
Journal:  PLoS One       Date:  2015-08-20       Impact factor: 3.240

3.  Efficiency of standardized ileal digestible lysine utilization for whole body protein deposition in pregnant gilts and sows during early-, mid-, and late-gestation.

Authors:  Christian D Ramirez-Camba; James L Dunn; John K Htoo; Jolie C González-Vega; Kevin Touchette; Ryan S Samuel; Crystal L Levesque
Journal:  J Anim Sci       Date:  2020-11-01       Impact factor: 3.159

4.  A Kinetic and Factorial Approach to Study the Effects of Temperature and Salinity on Growth and Toxin Production by the Dinoflagellate Alexandrium ostenfeldii from the Baltic Sea.

Authors:  Pablo Salgado; José A Vázquez; Pilar Riobó; José M Franco; Rosa I Figueroa; Anke Kremp; Isabel Bravo
Journal:  PLoS One       Date:  2015-12-04       Impact factor: 3.240

5.  The effect of sowing time on the growth of chia (Salvia hispanica L.): What do nonlinear mixed models tell us about it?

Authors:  Diana Carolina Rodríguez-Abello; Jorge Augusto Navarro-Alberto; Luis Ramírez-Avilés; Roberto Zamora-Bustillos
Journal:  PLoS One       Date:  2018-11-01       Impact factor: 3.240

6.  Reduced phosphorus intake throughout gestation and lactation of sows is mitigated by transcriptional adaptations in kidney and intestine.

Authors:  Aisanjiang Wubuli; Christian Gerlinger; Henry Reyer; Michael Oster; Eduard Muráni; Nares Trakooljul; Siriluck Ponsuksili; Petra Wolf; Klaus Wimmers
Journal:  BMC Genomics       Date:  2020-09-11       Impact factor: 3.969

  6 in total

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