1. Cerrate, S.; Corzo, A. Lysine and energy trends in feeding modern commercial broilers. Int. J. Poult. Sci. 2019, 18, 28–38. [CrossRef]
2. Maharjan, P.; Martinez, D.A.; Weil, J.; Suesuttajit, N.; Umberson, C.; Mullenix, G.; Hilton, K.M.; Beitia, A.; Coon, C.N. Physiological growth trend of current meat broilers and dietary protein and energy management approaches for sustainable broiler production. Animal 2021, 15, 100284. [CrossRef] [PubMed]
3. Hilton, K.M. Development of Arkansas Net Energy Equation. Ph.D. Dissertation, University of Arkansas, Fayetteville, AR, USA, 2020. Available online: https://www.proquest.com/docview/2384839456?pq-origsite=gscholar&fromopenview=true (accessed on 8 July 2022).
4. Suesuttajit, N.; Weil, J.T.; Umberson, C.; Martinez, D.; Coon, C.N. A Comparison of apparent metabolizable energy, net energy, and productive energy (Ark NE) for 4-56d broiler performance studies. Anim.-Sci. Proc. 2022, 13, 316–318. [CrossRef]
5. Martinez, D.A.; Suesuttajit, N.; Hilton, K.; Weil, J.T.; Umberson, C.; Scott, A.; Coon, C.N. The fasting heat production of broilers is a function of their body composition. Anim.-Open Space 2022. accepted.
6. Maharjan, P.; Beitia, A.; Weil, J.; Suesuttajit, N.; Hilton, K.; Caldas, J.; Umberson, C.; Martinez, D.; Kong, B.; Owens, C.M.; et al. Woody breast myopathy broiler show age-dependent adaptive differential gene expression in Pectoralis major and altered in-vivo triglyceride kinetics in adipogenic tissues. Poult. Sci. 2021, 100, 101092. [CrossRef]
7. Nogueira, B.R.F.I.; Reis, M.P.; Carvalho, A.C.; Mendoza, E.A.C.; Oliveira, B.L.; Silva, V.A.; Bertechini, A.G. Performance, growth curves and carcass yield of four strains of broiler chicken. Braz. J. Poult. Sci. 2019, 21, 1–8. [CrossRef]
8. N’Dri, A.L.; Mignon-Grasteau, S.; Sellier, N.; Tixier-Boichard, M.; Beaumont, C. Genetic relationships between feed conversion ratio, growth curve and body composition in slow-growing chickens. Br. Poult. Sci. 2006, 47, 273–280. [CrossRef]
9. Wen, C.; Yan, W.; Zheng, J.; Ji, C.; Zhang, D.; Sun, C.; Yang, N. Feed efficiency measures and their relationships with production and meat quality traits in slower growing broilers. Poult. Sci. 2018, 97, 2356–2364. [CrossRef]
10. Yi, Z.; Li, X.; Luo, W.; Xu, Z.; Ji, C.; Zhang, Y.; Nie, Q.; Zhang, D.; Zhang, X. Feed conversion ratio, residual feed intake and cholecystokinin type A receptor gene polymorphisms are associated with feed intake and average daily gain in a Chinese local chicken population. J. Anim. Sci. Biotechnol. 2018, 9, 1–9. [CrossRef]
11. Chen, C.; Su, Z.; Li, Y.; Luan, P.; Wang, S.; Zhang, H.; Xiao, F.; Guo, H.; Cao, Z.; Li, H.; et al. Estimation of the genetic parameters of traits relevant to feed efficiency: Result from broiler lines divergent for high or low abdominal fat content. Poult. Sci. 2021, 100, 461–466. [CrossRef]
12. Danisman, R.; Gous, R.M. Effect of dietary protein on the allometric relationships between some carcass portions and body protein in three broiler strains. S. Afr. J. Anim. Sci. 2011, 41, 194–208. [CrossRef]
13. Page, M.J.; Moher, D.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Akl, E.A.; Brennan, S.E.; et al. PRISMA 2020 explanation and elaboration: Updated guidance and exemplars for reporting systematic reviews. BMJ 2021, 372, n160. [CrossRef]
14. Martinez, D. Meta-Análisis de Estudios en Histomorfometría Intestinal, Energía Metabolizable y Comportamiento Productivo en Pollos de Carne. Ph.D. Dissertation, La Molina National Agrarian University (Universidad Nacional Agraria La Molina), Lima, Peru, 2021. Available online: http://repositorio.lamolina.edu.pe/handle/20.500.12996/5140 (accessed on 8 July 2022).
15. Martinez, D.; Ponce de Leon, C.; Vilchez, C. Quantitative relationships among intestinal histology, nutrient absorption and performance of broilers: A meta-regression approach. In Proceedings of the 2019 Poultry Science Association Annual Meeting, Montreal, QC, Canada, 15–18 July 2019; Volume 98, p. 84. Available online: https://poultryscience.org/files/galleries/2019-PSAAnnual_Meeting_Abstracts.pdf (accessed on 8 July 2022).
16. Scopus. Available online: https://www.scopus.com (accessed on 8 July 2022).
17. Google Scholar. Available online: https://scholar.google.com (accessed on 8 July 2022).
18. Martinez, D.A. Evaluacion de un producto a base de aceite esencial de oregano sobre la integridad intestinal, la capacidad de absorcion de nutrientes y el comportamiento productivo de pollos de carne. arXiv 2022, arXiv:2204.03728.
19. Gaibor, G.J.; Martinez, D.A.; Vilchez, C. Effect of selenium supplementation on productive performance in pigs: Meta-analysis. Rev. Investig. Vet. Peru 2020, 31, e17551. [CrossRef]
20. USDA (U.S. Department of Agriculture; Agricultural Marketing Service). Broiler Market News Report. Friday, 1 July 2022. Available online: https://mymarketnews.ams.usda.gov/filerepo/sites/default/files/2750/2022-07-01/606153/ams_2750_001 23_01.pdf (accessed on 8 July 2022)
21. Caldas, J.V.; Boonsinchai, N.; Wang, J.; England, J.A.; Coon, C.N. The dynamics of body composition and body energy content in broilers. Poult. Sci. 2019, 98, 866–877. [CrossRef]
22. Inca, J.S.; Martinez, D.A.; Vilchez, C. Validation of prediction equations of the egg characteristics in laying hens. Poult. Sci. J. 2022, 10, 71–82. [CrossRef]
23. Palmowski, A.; Buttgereit, T.; Palmowski, Y.; Nielsen, S.M.; Boers, M.; Christensen, R.; Buttgereit, F. Applicability of trials in rheumatoid arthritis and osteoarthritis: A systematic review and meta-analysis of trial populations showing adequate proportion of women, but underrepresentation of elderly people. Semin. Arthritis Rheum. 2019, 48, 983–989. [CrossRef]
24. Hedges, L.V.; Olkin, I. Parametric estimation of effect size from a series of experiments. In Statistical Methods for Meta-Analysis; Academic Press Inc.: Miami, FL, USA, 1985; pp. 107–145.
25. Viechtbauer, W. Conducting Meta-Analyses in R with the Metafor Package. J. Stat. Softw. 2010, 36, 1–48. [CrossRef]
26. Veroniki, A.A.; Jackson, D.; Viechtbauer, W.; Bender, R.; Bowden, J.; Knapp, G.; Kuss, O.; Higgins, J.P.T.; Langan, D.; Salanti, G. Methods to estimate the between-study variance and its uncertainty in meta-analysis. Res. Synth. Methods 2016, 7, 55–79. [CrossRef]
27. Bougouin, A.; Appuhamy, J.A.D.R.N.; Kebreab, E.; Dijkstra, J.; Kwakkel, R.P.; France, J. Effects of phytase supplementation on phosphorus retention in broilers and layers: A meta-analysis. Poult. Sci. 2014, 93, 1981–1992. [CrossRef]
28. Inca, J.S.; Martinez, D.A.; Vilchez, C. Phenotypic correlation between external and internal egg quality characteristics in 85-weekold laying hens. Int. J. Poult. Sci. 2020, 19, 346–355. [CrossRef]
29. Martinez, D.A.; Suesuttajit, N.; Weil, J.T.; Maharjan, P.; Beitia, A.; Hilton, K.; Umberson, C.; Scott, A.; Coon, C.N. Processing weights of chickens determined by Dual-Energy X-Ray Absorptiometry: 2. Developing prediction models. Anim.-Open Space 2022, 1, 100023. [CrossRef]
30. Martinez, D.A.; Ponce-de-Leon, C.L.; Vilchez, C. Meta-Analysis of commercial-scale trials as a means to improve decision-making processes in the poultry industry: A phytogenic feed additive case study. Int. J. Poult. Sci. 2020, 19, 513–523. [CrossRef]
31. Borenstein, M.; Hedges, L.V.; Higgins, J.P.T.; Rothstein, H.R. Meta-regression. In Introduction to Meta-Analysis; John Wiley & Sons, Ltd.: West Sussex, Shire, UK, 2009; pp. 187–203.
32. López-López, J.A.; Marín-Martínez, F.; Sánchez-Meca, J.; Van den Noortgate, W.; Viechtbauer, W. Estimation of the predictive power of the model in mixed-effects meta-regression: A simulation study. Br. J. Math. Stat. Psychol. 2014, 67, 30–48. [CrossRef
33. Martinez, D.A.; Weil, J.T.; Suesuttajit, N.; Beitia, A.; Maharjan, P.; Hilton, K.; Umberson, C.; Scott, A.; Coon, C.N. Processing weights of chickens determined by Dual-Energy X-Ray Absorptiometry: 3. Validation of prediction models. Anim.-Open Space 2022, 1, 100022. [CrossRef]
34. Ramsey, F.L.; Schafer, D.W. The Statistical Sleuth: A Course in Methods of Data Analysis, 3rd ed.; Brooks/Cole Cengage Learning: Boston, MA, USA, 2013.
35. R Core Team. R: A Language and Environment for Statistical Computing (Software); R Foundation for Statistical Computing: Vienna, Austria, 2018. Available online: http://www.R-project.org (accessed on 8 July 2022).
36. RStudio Team. RStudio: Integrated Development for R (Software); RStudio, Inc.: Boston, MA, USA, 2016. Available online: http://www.rstudio.com (accessed on 8 July 2022).
37. Filho, D.E.F.; Rosa, P.S.; Vieira, B.S.; Macari, M.; Furlan, R.L. Protein levels and environmental temperature effects on carcass characteristics, performance, and nitrogen excretion of broiler chickens from 7 to 21 days of age. Braz. J. Poult. Sci. 2005, 7, 247–253. [CrossRef]
38. Filho, D.E.F.; Rosa, P.S.; Figueiredo, D.F.; Dahlke, F.; Macari, M.; Furlan, R.L. Dietas de baixa proteína no desempenho de frangos criados em diferentes temperaturas. Pesqui. Agropecuária Bras. 2006, 41, 101–106. [CrossRef]
39. Hauschild, L.; Bueno, C.F.D.; Remus, A.; Gobi, J.P.; Isola, R.D.G.; Sakomura, N.K. Multiphase feeding program for broilers can replace traditional system. Sci. Agric. 2015, 72, 210–214. [CrossRef]
40. Liu, W.; Yuan, Y.; Sun, C.; Balasubramanian, B.; Zhao, Z.; An, L. Effects of dietary betaine on growth performance, digestive function, carcass traits, and meat quality in indigenous yellow-feathered broilers under long-term heat stress. Animals 2019, 9, 506. [CrossRef]
41. Mendonca, M.O.; Sakomura, N.K.; dos Santos, F.R.; Barbosa, N.A.A.; Fernandes, J.B.K.; Freitas, E.R. Metabolizable energy levels and energy:protein ratio for birds broilers of slow growth raised in free range system. Acta Sci. Anim. Sci. 2007, 29, 23–30. Available online: https://www.redalyc.org/articulo.oa?id=303126486004 (accessed on 8 July 2022).
42. Mendonca, M.O.; Sakomura, N.K.; dos Santos, F.R.; Freitas, E.R.; Fernandes, J.B.K.; Barbosa, N.A.A. Metabolizable energy levels for slow growth male broilers raised in semi confined system. Rev. Bras. Zootec. 2008, 37, 1433–1440. [CrossRef]
43. Nascimento, D.C.N.; Sakomura, N.K.; Siquira, J.C.; Pinheiro, S.R.F.; Fernandes, J.B.K.; Furlan, R.L. Digestible methionine + cystine requirements of ISA Label broilers reared in free-range system. Rev. Bras. Zootec. 2009, 38, 869–878. [CrossRef]
44. Nascimento, D.C.N.; Sakomura, N.K.; Siqueira, J.C.; Dourado, L.R.B.; Fernandes, J.B.K.; Malheiros, E.B. Digestible lysine requirements for ISA Label broilers reared in free-range system. Arq. Bras. Med. Veterinária Zootec. 2009, 61, 1128–1138. [CrossRef]
45. Oliveira, W.P.; Donzele, R.F.M.O.; Donzele, J.L.; Albino, L.F.T.; Antunes, M.V.L.; Campos, P.H.R.F.; Souza, M.F.; Pastore, S.M. Digestible lysine levels obtained by two methods of formulation of diets for 22-to-42-day-old broilers. Rev. Bras. Zootec. 2014, 43, 579–589. [CrossRef]
46. Perrault, N.; Leeson, S. Effect of environmental temperature, dietary energy, and feeding level on growth and carcass composition of male broiler chickens to 35 days of age. Can. J. Anim. Sci. 1992, 72, 695–702. [CrossRef]
47. Neto, M.A.T.; Takeara, P.; Toledo, A.L.; Kobashigawa, E.; Albuquerque, R.; Araujo, L.F. Níveis de lisina digestível para frangos de corte machos no período de 37 a 49 dias de idade. Rev. Bras. Zootec. 2009, 38, 508–514. [CrossRef]
48. Neto, M.A.T.; Kobashigawa, E.; Namazu, L.B.; Takearra, P.; Araujo, L.F.; Albuquerque, R. Lisina digestível e zinco orgânico para frangos de corte machos na fase de 22 a 42 dias de idade. Rev. Bras. Zootec. 2010, 39, 2460–2470. [CrossRef]
49. Xi, P.B.; Yi, G.F.; Lin, Y.C.; Zheng, C.T.; Jiang, Z.Y.; Vasquez-Anon, M.; Song, G.L.; Knight, C.D. Effect of methionine source and dietary crude protein level on growth performance, carcass traits and nutrient retention in Chinese color-feathered chicks. Asian-Australas. J. Anim. Sci. 2007, 20, 962–970. [CrossRef]
50. Yao, J.H.; Li, S.Q.; Zhong, L.L.; Huang, S.X.; Zhang, W.J.; Xi, H.B. The relative effectiveness of liquid methionine hydroxy analogue compared to dl-methionine in broilers. Asian-Australas. J. Anim. Sci. 2006, 19, 1026–1032. [CrossRef]
51. Deeb, N.; Cahaner, A. Genotype-by-environment interaction with broiler genotypes differing in growth rate. 3. Growth rate and water consumption of broiler progeny from weight-selected versus nonselected parents under normal and high ambient temperatures. Poult. Sci. 2002, 81, 293–301. [CrossRef]
52. Fanatico, A.C.; Pillai, P.B.; Cavitt, L.C.; Owens, C.M.; Emmert, J.L. Evaluation of slower-growing broiler genotypes grown with and without outdoor access: Growth performance and carcass yield. Poult. Sci. 2005, 84, 1321–1327. [CrossRef] [PubMed]
53. Uculmana, C.; Martinez-Patino, D.; Zea, O.; Vilchez, C. Effect of the calcium phosphorus ratio on bone characteristics, percent of ashes and skeletal integrity of broilers. Rev. Investig. Vet. Peru 2018, 29, 1268–1277. [CrossRef]
54. Reeds, P.J.; Fuller, M.F.; Cadenhead, A.; Lobley, G.E.; McDonald, J.D. Effects of changes in the intakes of protein and non-protein energy on whole-body protein turnover in growing pigs. Br. J. Nutr. 1981, 45, 539–546. [CrossRef] [PubMed]
55. Caldas, J.V.; Hilton, K.M.; Boonsinchai, N.; Mullenix, G.; England, J.A.; Coon, C.N. Maintenance energy requirements in modern broilers fed exogenous enzymes. Int. J. Poult. Sci. 2022, 21, 107–118. [CrossRef]
56. Martinez, D.A.; Suesuttajit, N.; Weil, J.T.; Maharjan, P.; Beitia, A.; Hilton, K.; Umberson, C.; Scott, A.; Coon, C.N. Processing weights of chickens determined by Dual-Energy X-Ray Absorptiometry: 1. Weight changes due to fasting, bleeding, and chilling. Anim.-Open Space 2022, 1, 100024. [CrossRef]
57. Quisirumbay-Gaibor, J.R.; Torres, R.; Yupanqui, J.; Martinez Patino-Patroni, D.; Vilchez Perales, C. Suplementación alimenticia de glutamina sobre el desempeño productivo en pollos de engorde. Siembra 2019, 6, 15–24. [CrossRef]
58. Ivey, F. Desenvolvimento e aplicação de modelos de crescimento para frangos de corte. In Proceedings of the I ACAV Interantional Simposium—Embrapa on Poultry Nutrition, Concordia, Santa Catarina, Brazil, 17–18 November 1999; pp. 22–35. Available online: https://www.infoteca.cnptia.embrapa.br/bitstream/doc/436985/1/documento56.pdf (accessed on 13 August 2022).
59. Schutte, J.B.; Pack, M. Sulfur amino acid requirement of broiler chicks from fourteen to thirty-eight days of age: Performance and carcass yield. Poult. Sci. 1995, 74, 480–487. [CrossRef]
60. Martinez, D.; Uculmana, C. Artichoke extract (Cynara scolymus L.): Experiences of use in animal production markets and opportunities for its production in Peru. Agroind. Sci. 2016, 6, 155–161. [CrossRef]
61. Lyte, J.M.; Shrestha, S.; Wagle, B.R.; Liyanage, R.; Martinez, D.A.; Donoghue, A.M.; Daniels, K.M.; Lyte, M. Serotonin modulates Campylobacter jejuni physiology and in vitro interaction with the gut epithelium. Poult. Sci. 2021, 100, 100944. [CrossRef]
62. Lyte, J.M.; Martinez, D.A.; Robinson, K.; Donoghue, A.M.; Daniels, K.M.; Lyte, M. A neurochemical biogeography of the broiler chicken intestinal tract. Poult. Sci. 2021, 101, 101671. [CrossRef]
63. Silverman, E. Methodological Investigations in Agent-Based Modelling; Springer International Publishing AG: Cham, Switzerland, 2018; pp. 61–81.
64. Maharjan, P.; Mullenix, G.; Hilton, K.; Beitia, A.; Weil, J.; Suesuttajit, N.; Martinez, D.; Umberson, C.; England, J.; Caldas, J.; et al. Effects of dietary amino acid levels and ambient temperature on mixed muscle protein turnover in Pectoralis major during finisher feeding period in two broiler lines. J. Anim. Physiol. Anim. Nutr. 2020, 104, 1351–1364. [CrossRef]
65. Maharjan, P.; Weil, J.; Beitia, A.; Suesuttajit, N.; Hilton, K.; Caldas, J.; Umberson, C.; Martinez, D.; Owens, C.M.; Coon, C. In vivo collagen and mixed muscle protein turnover in 2 meat-type broiler strains in relation to woody breast myopathy. Poult. Sci. 2020, 99, 5055–5064. [CrossRef] [PubMed]
66. Maharjan, P.; Hilton, K.M.; Mullenix, G.; Weil, J.; Beitia, A.; Suesuttajit, N.; Umberson, C.; Martinez, D.A.; Caldas, J.V.; Kalinowski, A.; et al. Effects of dietary energy levels on performance and carcass yield of 2 meat-type broiler lines housed in hot and cool ambient temperatures. Poult. Sci. 2021, 100, 100885. [CrossRef]