I. Mangisah, V. Ismadi, Sri Sumarsih, Sugiharto Sugiharto
{"title":"Effect of supplementation of synbiotic plus betaine and selenium on behavior and performance of broilers stocked at high stocking density pens","authors":"I. Mangisah, V. Ismadi, Sri Sumarsih, Sugiharto Sugiharto","doi":"10.31893/jabb.2024007","DOIUrl":"https://doi.org/10.31893/jabb.2024007","url":null,"abstract":"This experiment aimed to examine the effect of synbiotic plus betaine and selenium supplementation on the behavior, blood profile and performance of broiler chickens reared at stocking density pens. For 21 days, a total of 330 broilers with body weight of 929.67 ± 21.15 g were randomly assigned to 35 experimental units (pens) with a normal stocking density (NSD) of 9 birds/m2 as a positive control and high stocking density (HSD) of 15 birds/m2. A total of 7 treatments were applied, consisting of 1 NSD treatment (CONTR-) and 6 HSD treatments, i.e., CONTR+ (positive control); SYN (1% synbiotic), BET (betaine 2 g/kg feed), SYNBET (synbiotic 1% + betaine 2 g/kg feed); SE (selenium 0.4 mg/kg feed); SYNSE (1% synbiotic + selenium 0.4 mg/kg). Parameters including behavior, blood profile and performance were measured at week 4 (d 28) and week 5 (d 35). The results showed that the supplementation of synbiotic, betaine, selenium, or their combination improved (P< 0.05) the behavior, blood profile (eritrocytes, hemoglobin) and performance of broiler chickens at high stocking densities. The conclusion of the study was synbiotic plus betaine (SYNBE) supplementation can improve behavior and produce the best performance in broilers reared at high stocking densities.","PeriodicalId":506389,"journal":{"name":"Journal of Animal Behaviour and Biometeorology","volume":"100 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139865538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Javier Alejandro Gómez Guzmán, J. Armijo, Ana Laura Lara Rivera, Juan Gabriel Magaña Monforte, Juan Carlos Martínez Gonnzález, G. M. Parra-Bracamonte
{"title":"Physiological response of Katahdin ewes to the absence of shadows in tropical region of Mexico","authors":"Javier Alejandro Gómez Guzmán, J. Armijo, Ana Laura Lara Rivera, Juan Gabriel Magaña Monforte, Juan Carlos Martínez Gonnzález, G. M. Parra-Bracamonte","doi":"10.31893/jabb.2024005","DOIUrl":"https://doi.org/10.31893/jabb.2024005","url":null,"abstract":"This study evaluated the effect of environmental conditions on the physiological and body infrared temperature traits of Katahdin sheep. Ten recently reproductive-managed ewes were randomly segregated into two groups. The control group (CG) was under outdoor conditions with shadow access, and the experimental group (EG) was under outdoor conditions without shadow access. Traits were measured for 16 days, and the environmental traits confirmed significant differences between groups, with an average temperature-humidity index (THI) of 68.64±1.46 for the CG and 72.98±3.17 for the EG, with a breach of five units between groups. The THI was subsequently used to evaluate the heat load. Respiratory frequency was the physiological variable that responded the most to heat stress. The rectal temperature of the sheep was greater in the experimental group than in the control group, indicating an increase in heat stress. The EG also presented higher heat emissions from body regions, which was associated with changes in core body temperature and blood flow at the body surface. Differences in hematological parameters, such as the erythrocyte count, mean corpuscular volume, and total plasma protein concentration, were found between the groups. Infrared thermography was found to be efficient for estimating heat stress in sheep species, and head temperature was found to be a reliable indicator of physiological thermal stress.","PeriodicalId":506389,"journal":{"name":"Journal of Animal Behaviour and Biometeorology","volume":"20 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139863938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Eddiemar B. Lagua, H. Mun, K. M. Ampode, Veasna Chem, Hae-Rang Park, Young-Hwa Kim, Chul-Ju Yang
{"title":"Monitoring using artificial intelligence reveals critical links between housing conditions and respiratory health in pigs","authors":"Eddiemar B. Lagua, H. Mun, K. M. Ampode, Veasna Chem, Hae-Rang Park, Young-Hwa Kim, Chul-Ju Yang","doi":"10.31893/jabb.2024008","DOIUrl":"https://doi.org/10.31893/jabb.2024008","url":null,"abstract":"Respiratory disease is the most significant issue in the pig industry and leads to high mortality and reduced growth rates. Housing conditions are crucial for maintaining the health and welfare of animals to optimize growth rates. This study aimed to evaluate the respiratory health status of pigs raised in different housing conditions using artificial intelligence (AI) technology and to determine the relationships between respiratory health and environmental factors. Eighty growing pigs (Largewhite × Landrace) × Duroc) were randomly distributed into two housing conditions: the control group, which had normal housing conditions, and the treatment group, which had poor housing conditions. A two-sample t test was performed to compare the groups, and a cross-correlation analysis was conducted to determine associations between respiratory health and days of exposure to environmental factors. The results show significant (p < 0.001) lower incidence of respiratory health status along with a significant (p < 0.001) greater frequency of coughing in pigs raised under poor housing conditions. Respiratory health is negatively associated with high exposure to temperature, relative humidity, and CO2 at lags 0 (R = -0.873, -0.887, and -0.869, respectively), -1 (R = -0.708, -0.742, and -0.705, respectively), and -2 (R = -0.545, -0.590, and -0.599, respectively). Furthermore, respiratory health was negatively associated with high exposure to NH3 (R = -0.420) at lag 0. In conclusion, AI technology is an effective tool for monitoring respiratory health. However, further evaluation and calibration of the alarm system threshold are recommended. These findings suggest that maintaining proper control of environmental factors can help prevent respiratory diseases in pigs.","PeriodicalId":506389,"journal":{"name":"Journal of Animal Behaviour and Biometeorology","volume":"50 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139864475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I. Mangisah, V. Ismadi, Sri Sumarsih, Sugiharto Sugiharto
{"title":"Effect of supplementation of synbiotic plus betaine and selenium on behavior and performance of broilers stocked at high stocking density pens","authors":"I. Mangisah, V. Ismadi, Sri Sumarsih, Sugiharto Sugiharto","doi":"10.31893/jabb.2024007","DOIUrl":"https://doi.org/10.31893/jabb.2024007","url":null,"abstract":"This experiment aimed to examine the effect of synbiotic plus betaine and selenium supplementation on the behavior, blood profile and performance of broiler chickens reared at stocking density pens. For 21 days, a total of 330 broilers with body weight of 929.67 ± 21.15 g were randomly assigned to 35 experimental units (pens) with a normal stocking density (NSD) of 9 birds/m2 as a positive control and high stocking density (HSD) of 15 birds/m2. A total of 7 treatments were applied, consisting of 1 NSD treatment (CONTR-) and 6 HSD treatments, i.e., CONTR+ (positive control); SYN (1% synbiotic), BET (betaine 2 g/kg feed), SYNBET (synbiotic 1% + betaine 2 g/kg feed); SE (selenium 0.4 mg/kg feed); SYNSE (1% synbiotic + selenium 0.4 mg/kg). Parameters including behavior, blood profile and performance were measured at week 4 (d 28) and week 5 (d 35). The results showed that the supplementation of synbiotic, betaine, selenium, or their combination improved (P< 0.05) the behavior, blood profile (eritrocytes, hemoglobin) and performance of broiler chickens at high stocking densities. The conclusion of the study was synbiotic plus betaine (SYNBE) supplementation can improve behavior and produce the best performance in broilers reared at high stocking densities.","PeriodicalId":506389,"journal":{"name":"Journal of Animal Behaviour and Biometeorology","volume":"47 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139805878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Eddiemar B. Lagua, H. Mun, K. M. Ampode, Veasna Chem, Hae-Rang Park, Young-Hwa Kim, Chul-Ju Yang
{"title":"Monitoring using artificial intelligence reveals critical links between housing conditions and respiratory health in pigs","authors":"Eddiemar B. Lagua, H. Mun, K. M. Ampode, Veasna Chem, Hae-Rang Park, Young-Hwa Kim, Chul-Ju Yang","doi":"10.31893/jabb.2024008","DOIUrl":"https://doi.org/10.31893/jabb.2024008","url":null,"abstract":"Respiratory disease is the most significant issue in the pig industry and leads to high mortality and reduced growth rates. Housing conditions are crucial for maintaining the health and welfare of animals to optimize growth rates. This study aimed to evaluate the respiratory health status of pigs raised in different housing conditions using artificial intelligence (AI) technology and to determine the relationships between respiratory health and environmental factors. Eighty growing pigs (Largewhite × Landrace) × Duroc) were randomly distributed into two housing conditions: the control group, which had normal housing conditions, and the treatment group, which had poor housing conditions. A two-sample t test was performed to compare the groups, and a cross-correlation analysis was conducted to determine associations between respiratory health and days of exposure to environmental factors. The results show significant (p < 0.001) lower incidence of respiratory health status along with a significant (p < 0.001) greater frequency of coughing in pigs raised under poor housing conditions. Respiratory health is negatively associated with high exposure to temperature, relative humidity, and CO2 at lags 0 (R = -0.873, -0.887, and -0.869, respectively), -1 (R = -0.708, -0.742, and -0.705, respectively), and -2 (R = -0.545, -0.590, and -0.599, respectively). Furthermore, respiratory health was negatively associated with high exposure to NH3 (R = -0.420) at lag 0. In conclusion, AI technology is an effective tool for monitoring respiratory health. However, further evaluation and calibration of the alarm system threshold are recommended. These findings suggest that maintaining proper control of environmental factors can help prevent respiratory diseases in pigs.","PeriodicalId":506389,"journal":{"name":"Journal of Animal Behaviour and Biometeorology","volume":"97 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139804551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}