Effect of Environmental and Farm-Associated Factors on Live Performance Parameters of Broilers Raised under Commercial Tropical Conditions

被引:2
作者
Quintana-Ospina, Gustavo A. [1 ,2 ]
Alfaro-Wisaquillo, Maria C. [1 ]
Oviedo-Rondon, Edgar O. [1 ]
Ruiz-Ramirez, Juan R. [2 ]
Bernal-Arango, Luis C. [2 ]
Martinez-Bernal, Gustavo D. [2 ]
机构
[1] North Carolina State Univ, Prestage Dept Poultry Sci, Raleigh, NC 27695 USA
[2] Grp BIOS Inc, Antioquia 055420, Colombia
关键词
broilers; commercial conditions; artificial neural networks; random forest; machine learning; RELATIVE-HUMIDITY; HEAT-STRESS; PRODUCTIVE PERFORMANCE; BROODING TEMPERATURE; AMBIENT-TEMPERATURES; GROWTH-PERFORMANCE; COLD STRESS; CHICKENS; LITTER; INCUBATION;
D O I
10.3390/ani13213312
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Although temperature, relative humidity, and farm-associated factors are known to affect broiler live performance, data about the impact of these variables under commercial operations are still scarce. This study aimed to evaluate the effect of temperature, relative humidity, a thermal humidity index, management, and farm-associated factors on BW, BW gain, feed conversion ratio (FCR), and mortality of broilers raised to 35 d under commercial tropical conditions. The data analyzed included performance records of Ross 308 AP broiler flocks placed between 2018 and 2020. Environmental monitoring information was obtained from electronic sensors that captured data hourly from 80 flocks in 29 farms. Farm-associated factors were gathered using a survey of 86 farms. Three data analyses were conducted in parallel. Correlation analyses, one-way ANOVA, and machine learning techniques were employed. Results indicated that BW and BW gain were reduced, and FCR worsened (p < 0.001) up to 21 d when chickens were mainly exposed to temperatures 2.5 degrees C lower than the recommended optimums for each age period. At the same time, mortality at 28 and 35 d increased. In conclusion, all farm-associated factors affected chicken live performance. Variable importance analysis indicated that performance results at 14 and 21 d were significant to predict BW at 35. At the same time, sex, distance between the hatchery and farm, and farm altitude accounted for the most significant contributions from the farm-associated factors.
引用
收藏
页数:21
相关论文
共 76 条
[1]  
Abougabal M. Sh., 2019, Egyptian Poultry Science Journal, V39, P405
[2]   CLOACAL AND SURFACE TEMPERATURES OF BROILERS SUBJECT TO THERMAL STRESS [J].
Abreu, Lucas H. P. ;
Yanagi Junior, Tadayuki ;
Campos, Alessandro T. ;
Bahuti, Marcelo ;
Fassani, Edison J. .
ENGENHARIA AGRICOLA, 2017, 37 (05) :877-886
[3]  
Angelo Joao Carlos De, 1997, Revista Brasileira de Zootecnia, V26, P121
[4]  
Araujo Jocelio Dos Santos, 2007, Ciencia Animal Brasileira, V8, P59
[5]  
Aviagen, 2018, Broiler Management Handbook
[6]   Effects of heat stress on growth performance, selected physiological and immunological parameters, caecal microflora, and meat quality in two broiler strains [J].
Awad, Elmutaz Atta ;
Najaa, Muhamad ;
Zulaikha, Zainool Abidin ;
Zulkifli, Idrus ;
Soleimani, Abdoreza Farjam .
ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES, 2020, 33 (05) :778-787
[7]   Effect of transportation duration of 1-day-old chicks on postplacement production performances and pododermatitis of broilers up to slaughter age [J].
Bergoug, H. ;
Guinebretiere, M. ;
Tong, Q. ;
Roulston, N. ;
Romanini, C. E. B. ;
Exadaktylos, V. ;
Berckmans, D. ;
Garain, P. ;
Demmers, T. G. M. ;
McGonnell, I. M. ;
Bahr, C. ;
Burel, C. ;
Eterradossi, N. ;
Michel, V. .
POULTRY SCIENCE, 2013, 92 (12) :3300-3309
[8]   A comparison of THI indices leads to a sensible heat-based heat stress index for shaded cattle that aligns temperature and humidity stress [J].
Berman, A. ;
Horovitz, Talia ;
Kaim, M. ;
Gacitua, H. .
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY, 2016, 60 (10) :1453-1462
[9]  
Bischl B, 2016, J MACH LEARN RES, V17
[10]   Random forests [J].
Breiman, L .
MACHINE LEARNING, 2001, 45 (01) :5-32