Hostname: page-component-8448b6f56d-wq2xx Total loading time: 0 Render date: 2024-04-23T16:31:18.280Z Has data issue: false hasContentIssue false

Weight gain responses of laying-type pullets to methionine plus cystine intake

Published online by Cambridge University Press:  22 May 2020

E. P. Silva*
Affiliation:
Department of Animal Sciences, Universidade Estadual Paulista, College of Agriculture and Veterinary Sciences, Via de Acesso Professor Paulo Donato Castelane s/n, 14883-900Jaboticabal, SP, Brazil
M. B. Lima
Affiliation:
Department of Animal Sciences, Universidade Estadual Paulista, College of Agriculture and Veterinary Sciences, Via de Acesso Professor Paulo Donato Castelane s/n, 14883-900Jaboticabal, SP, Brazil
N. K. Sakomura
Affiliation:
Department of Animal Sciences, Universidade Estadual Paulista, College of Agriculture and Veterinary Sciences, Via de Acesso Professor Paulo Donato Castelane s/n, 14883-900Jaboticabal, SP, Brazil
L. E. Moraes
Affiliation:
Department of Animal Sciences, The Ohio State University, 2029 Fyffe Road, Columbus, OH43210, USA
N. J. Peruzzi
Affiliation:
Department of Animal Sciences, Universidade Estadual Paulista, College of Agriculture and Veterinary Sciences, Via de Acesso Professor Paulo Donato Castelane s/n, 14883-900Jaboticabal, SP, Brazil
*
Get access

Abstract

Each individual in the population has a distinct maximum growth potential, and the growth curve may vary depending on the response to nutrient intake, growth phase and variability among animals. The present study aimed to (1) model weight gain (WG) response to methionine+cystine (Met+Cys) supply using different mathematical functions, (2) identify functions that better fit the growth responses of pullets, (3) determine the Met+Cys requirements that maximize WG based on breeding standards and (4) partition the Met+Cys requirements for WG and maintenance. Three trials were performed using 1448 laying-type pullets. We adopted a completely randomized design with eight treatments and six replicates. The first trial (2 to 6 weeks, P1) used 15 pullets per experimental unit. The second and third trials (8 to 12 weeks, P2; 14 to 18 weeks, P3) were used eight pullets per replicate. The Met+Cys levels were obtained using a dilution technique. The mathematical functions used to describe WG responses to Met+Cys intake were broken line, broken line with curvilinear ascendancy, Michaelis–Menten, saturation kinetics and three logistic and three exponential models. Models were selected using the Bayesian information criterion and evaluated by residual analysis. It was possible to model the responses using the studied functions. The best functions were obtained by logistic and sigmoidal models in P1 and P2, and with the broken line by the curvilinear ascendancy model in P3. The Met+Cys intake that determined the maximum potential for WG (WGmax) in P1, P2 and P3 were 313, 381 and 318 mg/day, respectively. The Met+Cys requirements for WG were 20, 22 and 27 mg/g, and for maintenance were 214, 53 and 30 mg/kgBW0.75 for P1, P2 and P3, respectively.

Type
Research Article
Copyright
© The Animal Consortium 2020

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

a

Present address: Poultry Science Laboratory, Lavinesp, Via de Acesso Professor Paulo Donato Castelane s/n, Jaboticabal, SP 14883-900, Brazil.

References

Araujo, JA, Sakomura, NK, Silva, EP, Dorigam, JCP, Donato, DCZ, Silva, JHV and Fernandes, JBK 2014. Response of pullets to digestible lysine intake. Czech Journal of Animal Science 59, 208218.CrossRefGoogle Scholar
Curnow, RN 1973. A smooth population response curve based on an abrupt threshold and plateau model for individual. Biometrics 29, 110.Google Scholar
Donato, DCZ, Sakomura, NK, Silva, EP, Troni, AR, Vargas, L, Guagnoni, MAN and Meda, B 2016. Manipulation of dietary methionine+cysteine and threonine in broilers significantly decreases environmental nitrogen excretion. Animal 10, 903910.CrossRefGoogle ScholarPubMed
Ekmay, RD, Mei, SJ, Sakomura, NK and Coon, CN 2016. The cysteine, total sulfur amino acid, tyrosine, phenylalanine + tyrosine, and non-essential amino acid maintenance requirements of broiler breeders. Poultry Science 95, 13411347.CrossRefGoogle ScholarPubMed
Ferreira, NF, Albuquerque, R, Sakomura, NK, Dorigam, JCP, Silva, EP, Burbarelli, MFC, Ferreira, JG and Gous, RM 2016. The response of broilers during three periods of growth to dietary valine. Animal Feed Science and Technology 214, 110120.CrossRefGoogle Scholar
Fisher, C and Morris, TR 1970. The determination of the methionine requirement of laying pullets by a diet dilution technique. British Poultry Science 11, 6782.CrossRefGoogle Scholar
Fisher, C, Morris, TR and Jennings, RC 1973. A model for the description and prediction of the response of laying hens to amino acid intake. British Poultry Science 14, 469484.CrossRefGoogle Scholar
Freitas, O, Soares, P, Fonseca, J, Silva, M, Rostagno, HS and Gracas, A 1991. Efeitos dos níveis de proteína e de metionina + cistina para as fases inicial, de crescimento e recria sobre o desempenho de aves legorne. Revista Brasileira de Zootecnia 20, 281290.Google Scholar
Gahl, MJ, Finke, MD, Crenshaw, TD and Benevenga, NJ 1991. Use of a four-parameter logistic equation to evaluate the response of growing rats to ten levels of each indispensable amino acid. Journal of Nutrition 121, 17201729.CrossRefGoogle ScholarPubMed
Kaps, M and Lamberson, WR 2004. Biostatistics for animal science. CABI Publishing, Wallingford, UK.CrossRefGoogle Scholar
Kebreab, E, France, J, Kuhi, HD and Lopez, S 2008. A comparative evaluation of functions for partitioning nitrogen and amino acid intake between maintenance and growth in broilers. Journal of Agricultural Science 146, 163170.CrossRefGoogle Scholar
Lima, MB, Sakomura, NK, Silva, EP, Dorigam, JCP, Ferreira, NT, Malheiros, EB and Fernandes, JBK 2018. The optimal digestible valine, isoleucine and tryptophan intakes of broiler breeder hens for rate of lay. Animal Feed Science and Technology 238, 2938.CrossRefGoogle Scholar
Mercer, LP, May, HE and Dodds, SJ 1989. The determination of nutritional requirements in rats: mathematical modeling of sigmoidal, inhibited nutrient-response curves. Journal of Nutrition 119, 14651471.CrossRefGoogle ScholarPubMed
Mercer, LP 1992. The determination of nutritional requirements: mathematical modeling of nutrient-response curves. Journal of Nutrition 122, 706708.CrossRefGoogle ScholarPubMed
Mercer, LP, Yi, T and Dodds, SJ 1993. Determination of nutritional requirements in rats: variation with time of weight gain responses to indispensable amino acids. Journal of Nutrition 123, 964971.CrossRefGoogle ScholarPubMed
Michaelis, L and Menten, MML 1913. Die kinetik der invertinwirkung. Biochemische Zeitschrift 49, 333369.Google Scholar
Morgan, PH, Mercer, LP and Flodin, NW 1975. General model for nutritional responses of higher organisms. Proceedings of the National Academy of Sciences of the United 72, 43274331.CrossRefGoogle ScholarPubMed
Pesti, GM, Vedenov, D, Cason, JA and Billard, L 2009. A comparison of methods to estimate nutritional requirements from experimental data. British Poultry Science 50, 1632.CrossRefGoogle ScholarPubMed
Pomar, C, Kyriazakis, I, Emmans, GC and Knap, PW 2003. Modeling stochasticity: dealing with populations rather than individual pigs. Journal of Animal Science 81, E178E186.Google Scholar
Robbins, KR, Norton, HW and Baker, DH 1979. Estimation of nutrient requirements from growth data. The Journal of Nutrition 109, 17101714.CrossRefGoogle ScholarPubMed
Robbins, KR, Saxton, AM and Southern, LL 2006. Estimation of nutrient requirements using broken-line regression analysis. Journal of Animal Science 84, E155E165.CrossRefGoogle ScholarPubMed
Rodehutscord, M and Pack, M 1999. Estimates of essential amino acid requirements from dose-response studies with rainbow trout and broiler chicken: effect of mathematical model. Archives of Animal Nutrition 52, 223244.Google ScholarPubMed
Rostagno, HS, Albino, LFT, Donzele, JL, Gomes, PC, Oliveira, RF, Lopes, DC, Ferreira, AS and Barreto, SLT 2005. Brazilian table of poultry and swine - composition of feedstuffs and nutritional requirements, 2nd revised edition. UFV, Viçosa, Minas Gerais, Brazil.Google Scholar
Rostagno, HS, Albino, LFT, Donzele, JL, Gomes, PC, Oliveira, RF, Lopes, DC, Ferreira, AS, Barreto, SLT and Euclides, RF 2011. Brazilian table of poultry and swine - composition of feedstuffs and nutritional requirements, 3rd revised edition, UFV, Viçosa, Minas Gerais, Brazil.Google Scholar
Sibbald, IR 1987. Estimation of bioavailable amino acids in feedingstuffs for poultry and pigs: a review with emphasis on balance experiments. Canadian Journal of Animal Science 67, 221300.CrossRefGoogle Scholar
Silva, EL, Silva, JHV, Bertechini, AG, Rodrigues, PB, Jordão Filho, J and Pucci, LEA 2009. Exigência de metionina+cistina para aves de reposição leves e semipesadas de 1 a 4 semanas de idade alimentadas com rações farelada e triturada. Revista Brasileira de Zootecnia 38, 500507.CrossRefGoogle Scholar
Silva, EP, Sakomura, NK, Oliveira, CFS, Costa, FGP, Dorigam, JCP and Malheiros, EB 2015. The optimal lysine and threonine intake for Cobb broiler breeder hens using Reading model. Livestock Science 174, 5965.CrossRefGoogle Scholar
Silva, EP, Lima, MB, Sakomura, NK, Moraes, LEFD and Peruzzi, NJ 2019a Weight gain response of laying-type pullets to the intake of methionine+cystine. Advances in Animal Biosciences 10, 346.Google Scholar
Silva, EP, Sakomura, NK, Sarcinelli, MF, Dorigam, JCP, Venturini, KS and LIMA, MB 2019b. Modeling the response of Japanese quail hens to lysine intake. Livestock Science 224, 6974.CrossRefGoogle Scholar
Siqueira, JC, Sakomura, NK, Nascimento, DCN and Fernandes, JBK 2009. Modelos matemáticos para estimar as exigências de lisina digestível para aves de corte ISA Label. Revista Brasileira de Zootecnia 38, 17321737.CrossRefGoogle Scholar
St-Pierre, NR 2003. Reassessment of biases in predicted nitrogen flows to the duodenum by NRC 2001. Journal of Dairy Science 86, 344350.CrossRefGoogle ScholarPubMed
Ware, GO, Phillips, RD, Parrish, RS and Moon, LC 1980. A comparison of two nonlinear models for describing intake-response relationships in higher organisms. Journal of Nutrition 110, 765770.CrossRefGoogle ScholarPubMed
Supplementary material: File

Silva et al. supplementary material

Silva et al. supplementary material

Download Silva et al. supplementary material(File)
File 128.5 KB