Literature DB >> 32319362

Improving the estimation of amino acid requirements to maximize nitrogen retention in precision feeding for growing-finishing pigs.

A Remus1,2, J R E Del Castillo3, C Pomar1.   

Abstract

Precision feeding requires a mathematical model to estimate standardized ileal digestible (SID) lysine (Lys) requirements (SIDLysR) in real time. However, this type of model requires constant calibration updates. The objective of this study was to review the calibration of the model used to estimate the real-time Lys requirements of individual growing-finishing pigs. A digestibility trial (n = 10) was conducted to evaluate amino acids digestibility during the growing and finishing phases. Additionally, 120 pigs were used in two 28-day growth experiments conducted as completely randomized design with growing (25 ± 2.1 kg BW, n = 60; 10 pigs per treatment) or finishing barrows (68.1 ± 6 kg BW, n = 60; 10 pigs per treatment). In each experiment, the pigs were divided into six equal treatment groups and fed 60%, 70%, 80%, 90%, 100% or 110% of their estimated individual SIDLysR. The Lys requirement of each pig was estimated daily using a real-time model. Body composition was measured with dual-energy X-ray densitometry on day 1 and 28 of the experiments. Average daily feed intake increased quadratically (P < 0.05) during both growth phases. Maximum average daily gain (ADG) (0.98 kg) and maximum protein deposition (PD; 170 g/day) were observed in growing pigs fed 100% of the estimated SIDLysR (P < 0.001). During the growing period, PD in BW gain (17% to 19%) and N efficiency (52% to 65%) increased linearly (P < 0.01) with increasing inclusion rates of SID Lys. Finishing pigs had maximum ADG (1.2 kg/day) when they were fed 100% of the requirements. However, the amount of protein in BW gain (13% to 16%) and N efficiency (40% to 55%) increased linearly (P < 0.01) with increasing inclusion rates of SID Lys. In conclusion, the model proposed for precision feeding is correctly calibrated to predict SIDLysR that maximize PD and ADG of average pigs from 25 to 50 kg BW. Still, there is an opportunity to improve the estimation of SIDLysR and N retention in individual pigs by better representing the individual proportion of protein in BW gain and the factors controlling the efficiency of Lys utilization in individual pigs.

Entities:  

Keywords:  digestibility; lysine; nutrient efficiency; precision livestock farming; protein deposition

Mesh:

Substances:

Year:  2020        PMID: 32319362     DOI: 10.1017/S1751731120000798

Source DB:  PubMed          Journal:  Animal        ISSN: 1751-7311            Impact factor:   3.240


  3 in total

Review 1.  ASAS-NANP symposium: mathematical modeling in animal nutrition: limitations and potential next steps for modeling and modelers in the animal sciences.

Authors:  Marc Jacobs; Aline Remus; Charlotte Gaillard; Hector M Menendez; Luis O Tedeschi; Suresh Neethirajan; Jennifer L Ellis
Journal:  J Anim Sci       Date:  2022-06-01       Impact factor: 3.338

Review 2.  ASAS-NANP Symposium: Mathematical Modeling in Animal Nutrition: Opportunities and challenges of confined and extensive precision livestock production.

Authors:  Hector M Menendez; Jameson R Brennan; Charlotte Gaillard; Krista Ehlert; Jaelyn Quintana; Suresh Neethirajan; Aline Remus; Marc Jacobs; Izabelle A M A Teixeira; Benjamin L Turner; Luis O Tedeschi
Journal:  J Anim Sci       Date:  2022-06-01       Impact factor: 3.338

3.  Effects of Dietary Lysine Levels on Growth Performance, Nutrient Digestibility, Serum Metabolites, and Meat Quality of Baqing Pigs.

Authors:  Xuecai Hu; Bin Huo; Jiameng Yang; Kun Wang; Lingjie Huang; Lianqiang Che; Bin Feng; Yan Lin; Shengyu Xu; Yong Zhuo; Caimei Wu; Zhengfeng Fang
Journal:  Animals (Basel)       Date:  2022-07-23       Impact factor: 3.231

  3 in total

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