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Tropical Animal Science Journal
Published by Institut Pertanian Bogor
ISSN : 2615787X     EISSN : 2615790X     DOI : -
Core Subject : Science, Agriculture,
Agriculture, Biological Sciences & Forestry Energy
ropical Animal Science Journal (Trop. Anim. Sci. J.) previously Media Peternakan is a scientific journal covering broad aspects of tropical animal sciences. Started from 2018, the title is changed from Media Peternakan in order to develop and expand the distribution as well as increase the visibility of the journal. The journal is published three times a year in April, August, and December by Faculty of Animal Science, IPB University (Bogor Agricultural University), associated with Animal Scientist's Society of Indonesia. The first edition with the new title will be published in April 2018 edition (Vol 41 No 1 2018), while the previous edition (up to 2017 edition) will still use Media Peternakan as the title and could be accessed in the old website (http://medpet.journal.ipb.ac.id/). This journal has been accredited by National Journal Accreditation (ARJUNA) Managed by Ministry of Research, Technology, and Higher Education, Republic Indonesia with First Grade (Sinta 1) since year 2018 to 2022 according to the decree No. 30/E/KPT/2018.
Arjuna Subject : -
Articles 429 Documents
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The Resilience of Smallholder Layer-Chicken Farmers Throughout the COVID-19 Pandemic: Evidence from Indonesia Priyono; Kusumaningrum, D. A.; Rusdiana, S.; Praharani, L.; Widiawati, Y.; Kostaman, T.; Herliatika, A.; Pratiwi, N.; Azizah, N.; Iji, P. A.
Tropical Animal Science Journal Vol. 47 No. 3 (2024): Tropical Animal Science Journal
Publisher : Faculty of Animal Science, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5398/tasj.2024.47.3.392

Abstract

Smallholder layer-chicken farming in Indonesia is essential to ensure national food production, food security, and economic resilience. During the COVID-19 pandemic, small-scale layer-chicken farming exhibited adaptability. This study aims to assess the smallholder layer-chicken farmers resilience in Indonesia during the challenges posed by the COVID-19 pandemic. This research employed cross-sectional data collected from February to July 2023 from 114 smallholder layer chicken farmers in West Java, Central Java, and East Java using a purposive sampling technique. Data analysis used descriptive statistics, financial analysis, and the Wilcoxon Signed Rank Test. The results showed that the COVID-19 pandemic impacted the decline in the population and production of layer-chicken at the beginning of the COVID-19 pandemic but subsequently demonstrated an increase afterward. Financial analyses showed an increase in operational costs, specifically feed and labor, during the COVID-19 pandemic. The layer-chicken farms could adapt and maintain profitability amidst increasing operational costs. The findings showed that the COVID-19 pandemic significantly impacted increasing feed costs (p<0.05) and labor costs (p<0.05). The revenue-cost ratio remained relatively stable. The study also showed significant differences in profit levels before, during, and after the COVID-19 pandemic (p<0.05). Profit levels decreased during the beginning of the COVID-19 pandemic and recovered afterward, showcasing the smallholder layer chicken farmer’s resilience during the COVID-19 pandemic. These findings offer valuable insights for policy formulation aimed at fortifying the resilience demonstrated by smallholder layer-chicken farming in Indonesia amidst the challenges posed by the COVID-19 pandemic and other potential crises in the future.
Cost Efficiency Analysis of Broiler Production in Peninsular Malaysia Mohammad Nor, N. A. A.; Buda, M.; Mohd Nor, N.; Wong, K. S. K.; Sharifuddin, J.; Suhaimee, S.
Tropical Animal Science Journal Vol. 47 No. 3 (2024): Tropical Animal Science Journal
Publisher : Faculty of Animal Science, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5398/tasj.2024.47.3.402

Abstract

The broiler industry is crucial in Malaysia’s agricultural sector, contributing significantly to meat production and the economy. However, the industry faces significant challenges, primarily stemming from high production costs, with feed costs constituting a substantial portion. Therefore, there is a need to improve domestic farm performance and competitiveness by optimizing resources and minimizing expenses to enhance overall productivity. This study aims to estimate the extent of cost efficiency in broiler farming in Peninsular Malaysia and identify key determinants influencing the inefficiency cost. A comprehensive survey involving 241 broiler farms in Peninsular Malaysia was conducted using structured questionnaires and a stratified random sampling technique. Employing the Stochastic Cost Frontier model revealed an operational inefficiency of approximately 5.7% above optimal costs among the surveyed farms, indicating substantial potential for a 5.7% reduction in production costs through enhanced management strategies. Factors such as feed prices, day-old chick prices, price of miscellaneous inputs, production output levels, and capital investment prices emerged as prominent influencers in the broiler cost function. Furthermore, the study indicated that socio-economic factors such as housing system, extension visits, credit access and contract farming are associated with lower inefficiencies, thereby enhancing cost efficiency in broiler farming operations. Conversely, higher bird mortality rates are associated with the increased inefficiency. Gaining insights into these factors is crucial for stakeholders to allocate resources wisely, plan strategically, and enhance competitiveness in broiler farming.
Supplementation of Zinc Palm Oil Soap Improves Feed Fermentability and Unsaturated Fatty Acid Profile in Rumen Liquid Muktiani, A.; Widiyanto, W.; Pandupuspitasari, N. S.
Tropical Animal Science Journal Vol. 47 No. 3 (2024): Tropical Animal Science Journal
Publisher : Faculty of Animal Science, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5398/tasj.2024.47.3.371

Abstract

This study aimed to evaluate the effects of energy and organic zinc supplements, specifically zinc palm oil soap (ZPOS), on digestibility and unsaturated fatty acid profiles in vitro. The study used a completely randomized design with 4 treatments and 5 replications. The treatments were: T0= basal diet without supplementation, T1= basal diet + 5% palm oil (PO), T2= basal diet + 5% partial ZPOS (3.75% ZPOS + 1.25% PO), and T3= basal diet + 5% ZPOS. The inoculum source was rumen liquid from three fistulated female dairy goats and was homogenized. The goats were fed ration consisting of corn straw, soybean hulls, and concentrate containing total digestible nutrients (TDN) 63%, crude protein (CP) 14%, and neutral detergent fiber (NDF) 35%. Results showed that both 5% partial ZPOS and 5% ZPOS supplementation (T2 and T3) resulted in the increase of total volatile fatty acids (VFA), acetate, propionate, butyrate, unsaturated fatty acids (USFA) and a decrease in the ratio of acetate/propionate (A/P) compared to the control and supplementation of 5% PO (p<0.05). Supplementation of 5% partial ZPOS (T2) is better than 5% ZPOS because increased the digestibility of ether extract (EE), crude fiber (CF), NDF, and acids detergent fiber (ADF) (p<0.05) and decreased of methane compared to the control (p<0.05). In conclusion, adding 5% partial ZPOS (3.5% ZPOS and 1.5% PO) increases fiber digestibility, VFA, LCFA, and USFA concentration, and decreases methane production in the rumen liquid.
Characteristics of Liquid Egg White with Addition of Forest Bee Honey During Cold Storage Saputri, K. W.; Nurliyani; Widodo
Tropical Animal Science Journal Vol. 47 No. 4 (2024): Tropical Animal Science Journal
Publisher : Faculty of Animal Science, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5398/tasj.2024.47.4.510

Abstract

Eggs were perishable foodstuffs during distribution to consumers. Hence, appropriate egg handling and preservation methods were needed and could be applied to farmers and the egg processing industry. This research aimed to evaluate the effect of adding forest bee honey (Apis dorsata) on the physicochemical and microbiological qualities of liquid egg whites at storage temperature of 4 °C. The treatments consisted of three levels of honey (0%, 5%, and 10%) with storage durations of 0, 1, 2, 3, 4, 5, 6, 7, and 8 weeks. The variables analyzed include physical properties (foam capacity and foam stability), chemical properties (S-ovalbumin and protein profile on SDS-PAGE), and total plate count (TPC). The results revealed that the interaction of storage time and the addition of honey has a significant effect (p<0.05) on foam capacity, foam stability, S-ovalbumin, and TPC. Egg whites with 10% honey had higher foam capacity and foam stability, but lower S-ovalbumin content and the number of microbes after eight weeks compared to egg whites with 0% honey and 5% honey. In conclusion, the addition of 10% forest bee honey could maintain physicochemical qualities and extend the shelf life of liquid egg white during 8 weeks of cold storage.
Perceptions and Economic Losses of Foot and Mouth Disease to Beef Cattle Farmers in Bantul Regency, Yogyakarta Putra, D. W.; Kusumastuti, T. A.; Andarwati, S.; Panjono; Guntoro, B.
Tropical Animal Science Journal Vol. 47 No. 4 (2024): Tropical Animal Science Journal
Publisher : Faculty of Animal Science, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5398/tasj.2024.47.4.529

Abstract

The objectives of this study were to measure the level of farmers’ perceptions on psychological, socio-cultural and economic aspects, and to analyze the economic losses during foot and mouth disease (FMD) outbreaks. This study was conducted in Bantul District, Yogyakarta, during the period of July-September 2023. A total of 148 farmers affected by FMD were surveyed by a purposive sampling method using a questionnaire and the data were analyzed using the ordinal logistic regression method. The result showed that farmers’ perceptions of FMD outbreaks of psychological, socio-cultural and economic attributes were in the high category. The majority of farmers experienced low economic losses (47.30%). Age and livestock ownership (p<0.01), formal education, and informal education (p<0.1) had a positive effect on the level of farmers’ economic losses, while only farming experience (p<0.01) had a negative effect. Pseudo R-Square value of 33.9% or the level of economic losses, is influenced by farmers’ age, farming experience, livestock ownership, as well as formal and informal education. Reaction in the field of opportunity: the highest level of economic losses in the low category is 0.997%. This study shows that FMD handling carried out by farmers is good enough to prevent the impact of large economic losses on cattle farmers in Bantul Regency.
Determining the Minimum Time Interval for Completely Eliminating the Carryover Effect of Dehydration in Heat-Stressed Goats: Insights from Physiochemical Mechanisms Samara, E. M.; Al-Badwi, M. A.; Abdoun, K. A.; Al-Haidary, A. A.
Tropical Animal Science Journal Vol. 47 No. 4 (2024): Tropical Animal Science Journal
Publisher : Faculty of Animal Science, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5398/tasj.2024.47.4.426

Abstract

Heat stress, coupled with water deprivation, is widely acknowledged as one of the most potent stressors capable of impairing the production performance of small ruminants; therefore, comprehending and mitigating this stressor is of paramount importance. This experiment aimed to investigate the physiochemical adaptability of heat-stressed goats to periods of water deprivation and subsequent rehydration, focusing on determining the minimum time interval required to fully eliminate the carryover effects. Nine healthy Aardi bucks, aged 10 months and weighing 29.14±1.06 kg, underwent three experimental stages: euhydration (EU), dehydration (DE), and rehydration (RE). The EU and DE stages lasted 72 hours each, while the RE stage extended to 10 days. Physiochemical responses, including daily feed intake (DFI), rectal temperature (RT), respiratory rate (RR), hematology, biochemistry, and hemogasometry, were all monitored. Exposure of heat-stressed goats (as evidenced herein by the temperature-humidity index values) to complete water deprivation during the DE stage had manifested significant modulation in their physiological responses (DFI, RT, and RR), which thereby led to notable changes in their hematological, biochemical, and hemogasometric profiles. Surprisingly, blood pH remained unchanged throughout the experiment, underscoring goats’ remarkable adaptive mechanisms to tolerate infrequent liquid intake in their natural hot and arid environment. Notably, all measured variables completely returned to EU levels after 10 days of commencing the RE stage. Based on the obtained findings, a minimum recovery period of 10 days post-rehydration is recommended to eliminate carryover impacts of water deprivation for 72 hours before conducting any further experiments on heat-stressed and water-deprived goats. This research contributes to enhancing goat welfare under harsh environmental conditions.
Selenium Supplementation Tended to Increase Digestibility and Milk Fat Content in Dairy Goats: A Meta-Analysis Nurmala, D. P.; Susilorini, T. E.; Sjofjan, O.; Adli, D. N.
Tropical Animal Science Journal Vol. 47 No. 4 (2024): Tropical Animal Science Journal
Publisher : Faculty of Animal Science, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5398/tasj.2024.47.4.456

Abstract

A meta-analysis was conducted to determine the effects of selenium supplementation on milk production, milk composition, and nutrient digestibility in dairy goats. A database was constructed based on relevant published papers. Related studies that met the criteria were sourced from PubMed, Scopus, and Google Scholar. After the identification of studies through the SYRCLE method, the final dataset consisted of 15 studies and 188 treatments. The data were analyzed using R version 4.3.3 (2024-02-29 ucrt) “Angel Food Cake”, which utilizes packages such as lme4, lmerTest, and caret. The results showed that increasing concentrations of selenium tended to increase the digestibility of dry matter (DM), organic matter (OM), crude protein (CP), ether extract (EE), and total digestible nutrients (TDN) (p<0.05). Additionally, the results indicated a significant improvement on the milk fat content (p<0.05). In conclusion, selenium supplementation until 0.2 mg/kg significantly increase digestibility and milk fat content in dairy goats.
Use of Random Regression Models to Estimate the Heritability of Weight Growth in Meat Quails Pavan, N. L.; Menezes, F. L. de; Laureano, M. M. M.; Ton, A. P. S.; Araújo, S. I.; Camargo Júnior, R. N. C.; Silva, W. C. da; Silva, É. B. R. da; Araújo, C. V. de
Tropical Animal Science Journal Vol. 47 No. 4 (2024): Tropical Animal Science Journal
Publisher : Faculty of Animal Science, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5398/tasj.2024.47.4.409

Abstract

The aim of this study was to estimate the best covariance function structure, by means of Legendre polynomials using random regression models (RRM) to describe the genetic variability of the weight growth trajectory of quails and to estimate the genetic parameters. Body weight records of animals at 7, 14, 21, 28, 35, and 42 days of age were used. The orders of fit of the polynomials were gradually increased in orders from 3 to 6 for comparison between the models the Akaike information criteria were used. The models included fixed effects of the contemporary group, the fixed regression coefficient of weight on the Legendre polynomial, random regression coefficients of the direct additive genetic, and the permanent environment effects of the animal, in addition to the residual random effect. The RRM with orders five for the additive genetic effect and six for the permanent environment effect, under the assumption of homogeneity, was the most suitable to describe the genetic variability of the birds’ ponderal growth. There was greater expression of additive genetic variability after 21 days, resulting in distinct and increasing heritability estimates between two periods in ponderal development. Estimates of additive genetic correlations for weights between the ages evaluated indicated that genetic associations are more correlated between body weights at closer ages when compared to ages more distant along the growth trajectory. Thus, it is concluded that selection in birds is more efficient from 28 days of age due to the higher heritability values.
Association of BoLA-DRB3 Alleles with the Progression of Bovine Leukosis in the Lucerna Breed Hernández-Herrera, D. Y.; Carrillo-González, D. F.
Tropical Animal Science Journal Vol. 47 No. 4 (2024): Tropical Animal Science Journal
Publisher : Faculty of Animal Science, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5398/tasj.2024.47.4.417

Abstract

The bovine leukosis virus causes enzootic bovine leukosis (BLV) of the Retroviridae family and is the most significant neoplastic disease in cattle, leading to substantial economic losses globally. This study aimed to associate the progression of bovine leukosis with BoLA-DRB3 alleles in the Lucerna breed. A total of 104 animals were tested for the presence of BLV by nested PCR, the development of persistent lymphocytosis (PL) by peripheral blood smear, antibody titers (AT) to BLV by ELISA, and proviral load (PVL) by qPCR. Animals were genotyped for the BoLA-DRB3 gene by PCR-SBT. Allele frequencies of the DRB3 gene were estimated and associated using Fisher’s exact test and odds ratio. About 93.2% of the animals were virus positive, and 18.3% developed PL. Fifty percent of the animals had elevated AT with a value of 88.7 log2, and 43.3% had elevated PVL with 326871 copies/105 cells. In total, 17 BoLA-DRB3 alleles were found; the BoLA-DRB3*011:01 allele (12.1%) was the most frequent. Two alleles showed an association with susceptibility to viral infection (BoLA-DRB3*15:01 and *23:01), and only the BoLA-DRB3*38:01 allele was considered resistant. The BoLA-DRB3*11:01 and *15:01 alleles were not associated with LP, and neither allele was associated with high LP. Low AT was found in the BoLA-DRB3*13:01 and *20:01:02 alleles. The BoLA-DRB3*15:01 and *16:01 alleles were associated with high AT. Low PVL was associated with the BoLA-DRB3*11:01 and *23:01 alleles. BoLA-DRB3*15:01 allele was associated with high PVL. In conclusion, the Lucerne breed has a slow progression of enzootic bovine leukosis.
The Prediction of Somatic Cell Count Through Multilayer Perceptron of Deep Machine Learning Yeşil, M. İ.; Göncü, S.
Tropical Animal Science Journal Vol. 47 No. 4 (2024): Tropical Animal Science Journal
Publisher : Faculty of Animal Science, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5398/tasj.2024.47.4.503

Abstract

The main objective of the research is to generate an alternative approach to classical techniques in the prediction of the somatic cell count (SCC), which is the gold standard indicator of subclinical mastitis. This approach involves using the physical properties of milk such as density, the temperature at fore milking (TFM), pH, and electrical conductivity (EC) with a feed-forward backpropagation multilayer perceptron (MLP) artificial neural networks (ANN) model, which is one of the widely used machine learning techniques. The performance of the model was assessed by test with cross-validation on data that was not introduced to the model before and compared to the classical linear model (multiple linear regression) as the control model. The findings showed that the model has satisfactory results in terms of loss and performance criteria (R2=0.95, RMSE=0.01; AIC=-338). The test model (ANN) had a higher performance (AIC=-338) than the control model (AIC=-240) created with the classical linear model despite using more parameters (81). Using big data from automated milking information—like estrus cycle, lactation stage, and milk yield—on supercomputers can improve the accuracy of performance assessments in dairy farming.

Page 35 of 43 | Total Record : 429

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