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1	Agribusiness and related subjects	ABS-9
Food-Safety Awareness, Risk Perception, and Protective Preparation Practices among Harvesters and Consumers of Marcia hiantina in a Coastal Community of Nasipit, Agusan del Norte, Philippines Roxan S. Hitalla, Kimberly T. Arnaiz, Keneth Adrian O. Gabe, and Jaynos R. Cortes* Department of Fisheries Science, College of Fisheries and Aquatic Sciences, North Eastern Mindanao State University- Lianga Campus Abstract Keywords: Marcia hiantina- food-safety awareness- risk perception- protective practices- coastal communities Share Link | Plain Format | Corresponding Author (Roxan Semagala Hitalla)

2	Agribusiness and related subjects	ABS-13
Factors Associated with Beef Cattle Farmers^ Interest in Utilizing Cattle Manure as Organic Fertilizer: Evidence from Sumenep Regency, Indonesia Eko Nugroho (a,b), Fitria Dwi Kartikawati (a*), Riyan Ferdiyansah (a), Nabila Nur Hidayati (a), and Audiava Happy Kenthida Vanezza H (b) a) Division of Socio-Economy, Faculty of Animal Science and Technology, Universitas Brawijaya, Jalan Veteran No. 1, Malang 65145, East Java, Indonesia. E-mail: eko_nug[at]ub.ac.id, *fitriadk[at]student.ub.ac.id, riyanfrdynsh[at]student.ub.ac.id, nabilanurhidayatiii[at]gmail.com. b) Red Meat Producer Research Group, Faculty of Animal Science and Technology, Universitas Brawijaya, Malang 65145, East Java, Indonesia. E-mail: audiavahappy[at]lec.ub.ac.id. Abstract Recycling cattle manure into organic fertilizer can improve resource efficiency and support more sustainable smallholder livestock systems, yet farmer uptake remains limited. This study examined farmer characteristics and factors associated with interest in utilizing cattle manure as organic fertilizer. A cross-sectional survey was conducted in Kebundadap Timur Village, Saronggi District, Sumenep Regency, East Java, involving 100 beef cattle farmers selected purposively. Data were collected through interviews and questionnaires in November-December 2024 and analyzed using descriptive statistics, group comparisons, and binary logistic regression. Only 32% of respondents expressed interest in manure utilization, while 68% were not interested. Logistic regression showed significant associations between adoption interest and gender (OR = 9.938), herd size (OR = 0.454), household size (OR = 0.541), extension service intensity (OR = 0.316), knowledge of organic fertilizer (OR = 1.208), and free time availability (OR = 2.288). The findings indicate that adoption interest reflects household resources, knowledge, and extension exposure. Improving the relevance and practical orientation of extension, farmer knowledge, and labor-saving manure management may encourage wider utilization of cattle manure as organic fertilizer. Keywords: Beef cattle farmers- Manure management- Organic fertilizer- Adoption interest- Sustainable livestock Share Link | Plain Format | Corresponding Author (Fitria Dwi Kartikawati)

3	Agribusiness and related subjects	ABS-14
A Household-Scale Circular Agribusiness Model Strengthening Housewives^ Knowledge of Cage-Free Arab Chicken Rearing Using Kitchen-Waste-Based Feed for Family Protein Adequacy and Micro-Enterprise ika yuliana (a*) hamyana (b*) a) Politeknik Pembangunan Pertanian Malang, Jl. Dr. Cipto 144A Bedali, Lawang, Malang 65200, East Java, Indonesia, ikayuliana[at]polbangtanmalang.ac.id b) Politeknik Pembangunan Pertanian Malang, Jl. Dr. Cipto 144A Bedali, Lawang, Malang 65200, East Java, Indonesia, hamyana[at]polbangtanmalang.ac.id Abstract Household poultry keeping is common in rural and peri-urban Indonesia but is rarely managed for family nutrition or income and seldom uses household organic waste. This paper proposes a household-scale circular agribusiness model developed through a design-oriented extension approach combining an integrative literature review with a participatory needs assessment. The target group was housewives in the Family Welfare Empowerment (PKK) group of Taman Harjo Village, Malang Regency, who keep small flocks of cage-free Arab laying hens. The assessment identified high feed costs, underutilized household waste, and limited use of social media for marketing. The model comprises (i) processing kitchen waste into feed- (ii) cage-free management with basic welfare and biosecurity rules- (iii) a family-first egg consumption rule based on protein requirements- and (iv) a PKK-based business pathway covering surplus aggregation, branding, record-keeping, and digital marketing, supported by a training curriculum and a four-level evaluation framework. A scenario based on published data showed that 10 hens produce about 5.7 eggs per day, providing one egg daily for a four-person family and about 50 surplus eggs per month. The model requires empirical validation. Keywords: animal protein- circular agribusiness- food waste- household poultry- women^s empowerment. Share Link | Plain Format | Corresponding Author (ika yuliana)

4	Agribusiness and related subjects	ABS-29
Financial Performance and Green Supply Chain Management Priorities among Beef Processing MSMEs in Greater Malang Fitria Dwi Kartikawati (a), Hari Dwi Utami (b*), Nanang Febrianto (b), Jaisy Aghniarahim Putritamara (b), Lilik Eka Radiati (b) a) Master Program in Animal Science, Faculty of Animal Science and Technology, Universitas Brawijaya, Jalan Veteran, Malang 65145, East Java, Indonesia. E-mail: fitriadk[at]student.ub.ac.id b) Faculty of Animal Science and Technology, Universitas Brawijaya, Malang 65145, East Java, Indonesia. E-mail: hrdwutami4[at]ub.ac.id, nanangfeb[at]ub.ac.id, jaisyap[at]ub.ac.id, lilik.eka[at]ub.ac.id. Abstract Beef-processing micro, small and medium enterprises (MSMEs) need financially feasible pathways for improving resource use. This study assessed revenue-cost performance, electricity cost intensity, and implementation priorities for five green supply chain management (GSCM) practices using a 2026 cross-sectional survey of MSMEs in Greater Malang, Indonesia. Revenue and production cost were available for 60 enterprises, electricity expenditure for 42, and complete environmental-practice responses for 13. Operating surplus, margin, the revenue-cost (R/C) ratio, and electricity cost intensity were calculated. Environmental responses were scored from 1 (not yet implemented) to 5 (>75% implemented)- item means and gaps from the target score of 5 were used descriptively to rank improvement priorities. Median daily revenue was Rp1,250,000, median cost was Rp1,037,500, median R/C ratio was 1.25, and median operating margin was 20.0%. Median electricity expenditure was Rp3,333/day, equal to 0.27% of production cost, and was associated with worker count (rho = 0.527, p < 0.001) but not with financial outcomes. Waste handling, residue utilization, resource-use reduction, and energy reduction scored 4.92-5.00, whereas plastic collection for sale scored 2.00 and had the largest target gap. Plastic recovery and physical resource measurement therefore emerged as GSCM improvement priorities, although the small environmental subsample limits generalization. Keywords: Beef processing- Financial performance- Green Supply Chain Management- Micro Small and Medium Enterprises- Resource Efficiency Share Link | Plain Format | Corresponding Author (Hari Dwi Utami)

5	Agribusiness and related subjects	ABS-50
Determinants of Farmers^ Motivation to Raise Pelung Chickens in Malang Raya Siti Azizah (a*), Heni Setyo Prayogi (a), Anie Eka Kusumastutie (a), Ahmad Ridwan (a), Muhammad Rizki (a), Anif Mukaromah Wati (b), Prayudie (c), Mona Ghaly (d) a) Department of Socio-Economics, Faculty of Animal Science and Technology, Universitas Brawijaya, Malang, Indonesia b) Department of Animal Science, PSDKU Universitas Brawijaya, Kediri, Indonesia c) Himpunan Peternak dan Penggemar Ayam Pelung Indonesia (HIPPAPI) d) Department of Animal Production, Faculty of Agriculture, Cairo University, Mesir Abstract Pelung chicken (Gallus gallus domesticus) is an indigenous Indonesian breed with economic, cultural, social, and conservation value. This study examined factors influencing farmers^ motivation to raise Pelung chickens in Malang Raya using the Theory of Planned Behavior (TPB) and Traditional Ecological Knowledge (TEK) as complementary analytical perspectives. A descriptive qualitative approach was employed, involving 33 Pelung chicken farmers and six key informants selected through purposive and snowball sampling. Data were collected through semi-structured interviews, participatory observation, and documentation, and analyzed thematically. The findings show that farmers^ motivation is multidimensional and not driven solely by economic considerations. Intrinsic motivations, including hobby, personal satisfaction, and emotional attachment, were prominent, while economic opportunities, family support, breeder communities, cultural pride, and conservation awareness further reinforced farmers^ engagement. Farmers perceived economic, psychological, social, and cultural benefits from raising Pelung chickens. However, disease outbreaks, difficulties in producing contest-quality birds, limited knowledge and resources, and restricted market opportunities remained key challenges. Breeder communities played an important role in knowledge exchange, social support, collective learning, networking, and intergenerational transmission of local knowledge. The integration of TPB and TEK indicates that farmers^ motivation is shaped by attitudes, subjective norms, perceived behavioral control, experience-based knowledge, cultural values, and community learning. Strengthening breeder organizations, improving animal health management, expanding market access, and preserving local knowledge are therefore essential to sustaining Pelung chicken farming and conserving indigenous poultry genetic resources. Keywords: Keywords: Pelung chicken- farmers^ motivation- Theory of Planned Behavior- Traditional Ecological Knowledge- indigenous poultry- qualitative research Share Link | Plain Format | Corresponding Author (Siti Azizah)

6	Agribusiness and related subjects	ABS-56
Does Online Food Delivery Increase Unhealthy Food Acquisition? Evidence from Urban East Java, Indonesia Desi Ramadhani, Abdul Wahib Muhaimin, Fadli Mulyadi Agriculture Socio-Economics Department, Faculty of Agriculture and Forestry Bio-Industry, Universitas Brawijaya, Malang, Indonesia. E-mail: desiramadhani[at]student.ub.ac.id Agriculture Socio-Economics Department, Faculty of Agriculture and Forestry Bio-Industry, Universitas Brawijaya, Malang, Indonesia. E-mail: abd.wahib[at]ub.ac.id Agriculture Socio-Economics Department, Faculty of Agriculture and Forestry Bio-Industry, Universitas Brawijaya, Malang, Indonesia. E-mail: fadli.mulyadi[at]ub.ac.id Abstract The rapid expansion of online food delivery is reshaping urban food environments, but evidence remains limited on its users and potential links to unhealthy food acquisition. This study examines factors associated with online food delivery use and its relationship with unhealthy food acquisition among 200 households in Malang and Kediri, Indonesia. A Probit model identified factors associated with online food delivery use, while fractional logistic regression examined its relationship with the share of household food acquisition value spent on sugar and sweet foods, prepared or ready-to-eat meals, and snacks. Results show that 49% of households used online food delivery. Each additional year of schooling increased the probability of use by 3.3 percentage points, while each additional household asset type increased it by 5.8 percentage points. Users had an 8.67 percentage-point higher unhealthy food acquisition share than non-users, with predicted shares of 21.73% and 13.07%, respectively, after adjustment for demographic, socioeconomic, digital-access, food-environment, and city characteristics. The association remained significant under a stricter definition of unhealthy food, with a 3.73 percentage-point difference. These findings highlight socioeconomic differences in use and support integrating digital food environments into urban nutrition policy. Keywords: Online food delivery- Unhealthy food acquisition- Urban households- Digital food environment- Household Food choice Share Link | Plain Format | Corresponding Author (Desi Ramadhani)

7	Agribusiness and related subjects	ABS-57
Does Collective Action Matter for Climate-Smart Agriculture Adoption? Evidence from Smallholder Farmers in East Java Mohammad Wahyu Firdaus, Hery Toiba, Tri Wahyu Nugroho Universitas Brawijaya Abstract Collective action may facilitate the adoption of climate-smart agriculture (CSA) by improving farmers^ access to information, resources, and institutional support. This study examines factors associated with farmers^ participation in collective action and its relationship with CSA adoption intensity. Data were collected from 200 smallholder farm households in Ngawi and Mojokerto, East Java, Indonesia. Collective action was measured using a normalized equal-weight index covering five forms of participation, while CSA adoption intensity was measured as the number of five CSA practices adopted. A fractional logit model was used to identify factors associated with collective action participation, and Poisson regression with robust standard errors was applied to assess its association with CSA adoption intensity. Farm size, distance to agricultural extension centers, credit access, and savings ownership were positively associated with collective action participation, while farmers in Mojokerto had lower participation levels than those in Ngawi. Collective action participation was positively and significantly associated with CSA adoption intensity. Participation in one additional form of collective action was associated with approximately a 28% higher expected number of CSA practices adopted. These findings underscore the importance of strengthening farmer organizations, partnerships, and financial inclusion to support broader CSA adoption. Keywords: Climate-smart agriculture- Collective action- Farmer participation- Institutional support- Smallholder farmers Share Link | Plain Format | Corresponding Author (Mohammad Wahyu Firdaus)

8	Agribusiness and related subjects	ABS-68
Driving Purchase Decisions for Goat Powdered Milk: An Analysis of Social Media Marketing Strategy via Instagram Hari Dwi Utami (a*), Rafif Tosanda (a), Prima Setyo Wiyono (a), Fitria Dwi Kartikawati (a) a) Faculty Of Animal Science and Technology, Universitas Brawijaya, Jalan Veteran No 1, Malang 65415, East Java, Indonesia Abstract Research was conducted on the Instagram account of ^Etawaku Platinum^ (@Etawakubrand.id). This study aimed to investigate (i) consumer characteristics, (ii) purchasing decisions regarding^ Etawaku Platinum^ milk via Instagram, and (iii) social media marketing strategies for ^Etawaku Platinum^ milk based on Context, Communication, Collaboration, and Connection. A total of 202 consumers were selected through purposive sampling based on three criteria: aged 17 years or older, following the ^Etawaku Platinum^ Instagram account, and having purchased ^Etawaku Platinum^ milk. An online survey using Google Forms was administered to gather primary data, while secondary data were obtained from relevant institutions. Descriptive and factor analyses were employed to analyze the data using SPSS software version 25. Results revealed that, first, consumers were predominantly females aged 21-30 years, university-educated, employed in the private sector with a monthly income of IDR 2,000,000-5,000,000, and had over three years of Instagram experience. Second, consumer purchasing decisions were shaped by interest and trust in ^Etawaku Platinum^ after discovering its Instagram account, alongside the ease of acquiring the product and making payments. Third, the primary social media marketing strategy via Instagram was ^message delivery and quality content,^ followed by ^communication and good relationships^, ^responsive and interactive services,^ and ^informative and engaging content^. These four marketing strategies were recommended for implementation to attract more consumers via Instagram. Keywords: Experience- Payment- Account- Trust- Attract Share Link | Plain Format | Corresponding Author (Hari Dwi Utami)

9	Agribusiness and related subjects	ABS-73
Determinants of AI Adoption Intention among Young Prospective Livestock Farmers in Indonesia Muhammad Helmi (a,b), Budi Hartono (a), Siti Azizah (a), Marji (c), Muhammad Halim Natsir (a), Herly Evanuarini (a), Anie Eka Kusumastuti (a), Eka Nurwahyuni (a,b), Putu Wahyu Kusuma Wardhana (c), Nabila Nur Hidayati (a), Nanang Febrianto (a*) a) Faculty of Animal Science and Technology, Universitas Brawijaya Jalan Veteran, Malang 65145, Indonesia b) Universitas Brawijaya Kediri Campus (PSDKU Kediri) Kediri, East Java, Indonesia c) Faculty of Computer Science, Universitas Brawijaya Jalan Veteran, Malang 65145, Indonesia Abstract Artificial intelligence (AI) is increasingly promoted as a means of modernising livestock production, yet little is known about how the next generation of farmers views it. This study examined the factors that encourage and hinder AI adoption intention among young prospective livestock farmers in Indonesia. A survey was completed by 91 animal science students and young farmers aged 18-21 years. Most of them were involved in livestock activities through internships or small-scale enterprises. The research model drew on UTAUT, TAM and the Theory of Planned Behaviour and was tested with PLS-SEM using 5,000 bootstrap resamples. After one self-efficacy item was removed, the measurement model met the reliability and validity criteria. Attitude toward AI was the strongest predictor of behavioural intention (&#946- = 0.65), and the model explained 77.8% of the variance in intention. Personal innovativeness was the only significant antecedent of attitude (&#946- = 0.33). It also affected intention indirectly through attitude (&#946- = 0.22). Self-efficacy had a direct positive effect on intention (&#946- = 0.29). Respondents rated cost and technical barriers as moderate, but neither barrier significantly lowered attitude or intention. Effort expectancy showed a negative net effect once attitude was taken into account. Generative chatbots were by far the most familiar AI application. In the open-ended answers, respondents most often named limited capital, limited knowledge and lack of training as the practical obstacles. Young farmers^ readiness for AI appears to depend more on personal disposition and confidence than on external conditions. Extension programmes and livestock curricula should therefore build hands-on AI skills while widening access to affordable tools. Keywords: Artificial intelligence- Technology adoption- Young farmers- Livestock agribusiness- Personal innovativeness- PLS-SEM Share Link | Plain Format | Corresponding Author (Nanang Febrianto)

10	Agribusiness and related subjects	ABS-76
Analysis of the Customer Discovery Stage and Its Impact on Revenue via Product-Market Fit Among Processed Chicken Egg UMKM in Kediri City Risvana Margareta (a), Puji Akhiroh (a*) (a) Faculty Of Animal Science and Technology, Universitas Brawijaya, Jalan Veteran No 1, Malang 65415, East Java, Indonesia. Email: risvanam61[at]student.ub.ac.id, pujiakhiroh[at]ub.ac.id* Abstract The chicken egg processing culinary industry in Kediri City faces revenue instability due to speculative business decisions made without structured market research. This study analyzes the direct effect of Customer Discovery on Product-Market Fit, the direct effect of Product-Market Fit on Revenue, and the indirect effect of Customer Discovery on Revenue mediated by Product-Market Fit among small egg-processing enterprises in Kediri City. Using a quantitative causal-associative approach, structured questionnaire data were collected from business owners across three sub-districts and analyzed via Partial Least Squares Structural Equation Modeling (PLS-SEM) with bootstrapping resampling at &#945- = 0.05. The results demonstrate that all hypotheses are statistically significant (t > 1.96, p < 0.05). Customer Discovery significantly enhances Product-Market Fit by aligning product offerings with local consumer preferences. Product-Market Fit significantly increases business revenue by driving repeat orders and sales volume. Furthermore, Customer Discovery significantly exerts a positive indirect effect on revenue through Product-Market Fit as a critical mediating bridge. Keywords: Customer Discovery- Product-Market Fit- Revenue- Chicken Egg Processing UMKM- PLS-SEM Share Link | Plain Format | Corresponding Author (Puji Akhiroh)

11	Agribusiness and related subjects	ABS-77
The Role of Product Quality, Service Quality, and Perceived Price in Customer Loyalty through Customer Satisfaction: A Study of Bakso Bakar Pak Man Muhammad Fatkur Rohman (a), Puji Akhiroh (a*), Awang Tri Satria (a) (a) Faculty of Animal Science and Technology, Universitas Brawijaya, Jalan Veteran No 1, Malang 65415, East Java, Indonesia. Email: fatkur[at]student.ub.ac.id, pujiakhiroh[at]ub.ac.id*, awangtrisatria[at]ub.ac.id Abstract Increasing competition among meat-based culinary businesses has made customer loyalty an important factor in maintaining business sustainability. This study aims to analyze the relationships between product quality, service quality, perceived price, customer satisfaction, and customer loyalty among consumers of Bakso Bakar Pak Man in Malang, Indonesia. This study employs a quantitative approach with an explanatory research design using a survey method. Data collection is conducted through a questionnaire consisting of 21 indicators measured on a four-point Likert scale. The target sample comprises 210 customers. Data analysis employs Covariance-Based Structural Equation Modeling (CB-SEM) using AMOS software to test seven hypotheses concerning direct relationships among the variables. Previous studies in the restaurant industry have demonstrated positive relationships between perceived price and customer satisfaction, as well as between customer satisfaction and customer loyalty. Product quality has also frequently been associated with increased customer loyalty, although findings regarding its direct effect on customer satisfaction remain inconsistent. Similarly, service quality may influence customer satisfaction and loyalty- however, its direct effect on customer loyalty is not always statistically significant. These findings indicate that consistent product quality, responsive service, and perceived price fairness are important factors that may contribute to customer loyalty. Nevertheless, the relationships among these variables in the context of Bakso Bakar Pak Man still require empirical verification through survey data and AMOS analysis. Keywords: Product Quality- Service Quality- Perceived Price- Customer Satisfaction- Customer Loyalty- CB-SEM. Share Link | Plain Format | Corresponding Author (Puji Akhiroh)

12	Agribusiness and related subjects	ABS-80
Family Labor Productivity in Integrated Corn-Beef Cattle Farming: Evidence from Smallholder Farms in Malang, Indonesia Ananda Surya Fifinda (a*), Nanang Febrianto (b), Eko Nugroho (b) (a)Master in Animal Science Study Program, Faculty of Animal Science and Technology, Universitas Brawijaya, Malang 65145, East Java, Indonesia. *anandasurya[at]student.ub.ac.id (b)Department of Socio-Economic, Faculty of Animal Science and Technology, Universitas Brawijaya, Malang 65145, East Java, Indonesia. Abstract Integrated crop-livestock farming can improve resource-use efficiency and strengthen the economic sustainability of smallholder farming- however, its performance also depends on the efficient allocation of family labor across crop and livestock activities. This study evaluated family labor productivity and its associated factors in integrated corn-beef cattle farming in Wonoayu Village, Malang Regency, Indonesia. A case-study approach was employed from September to October 2025 involving 30 members of the Wonokoyo Livestock Farmer Group selected through purposive and snowball sampling. Eligible respondents owned 1-7 cattle, cultivated corn, and had at least three years of experience in integrated farming. Family labor productivity was calculated from farm income relative to family labor input, while associated factors were examined using multiple linear regression. Farmers allocated an average of 17.77 person-days per month to the integrated system, comprising 14.17 person-days for beef cattle and 3.60 person-days for corn production. Mean monthly farm income was IDR 4.14 million, corresponding to family labor productivity of IDR 233,076.55 per person-day. The regression model explained 91.1% of the variation in labor productivity. Income was positively associated with productivity (B = 0.711), whereas family labor input showed a negative association (B = &#8722-0.622). These findings highlight the importance of improving labor allocation and farm management to enhance the economic performance of smallholder integrated crop-livestock systems Keywords: Beef cattle- Corn- Crop livestock integration- Family labor- Labor productivity Share Link | Plain Format | Corresponding Author (Ananda Surya Fifinda)

13	Agribusiness and related subjects	ABS-81
Government Purchase Price (HPP) Policy and Maize Supply for the Poultry Feed Industry: Evidence from North Sumatra, Indonesia Avery Arthur Sidebang*1, Rahmanta*2, Ade Trisna*1 1*Master Program in Animal Science, Faculty of Agriculture, Universitas Sumatera Utara, Medan 20155, Indonesia 2*Master Program in Agribusiness, Faculty of Agriculture, Universitas Sumatera Utara, Medan 20155, Indonesia *Corresponding author: rahmanta[at]usu.ac.id Abstract Maize is a strategic input for Indonesia^s poultry feed industry, yet local supply in North Sumatra faces constraints in price incentives, quality, and supply continuity. This study examines how Government Purchase Price (HPP) implementation relates to farmer profitability, maize quality, and local maize absorption by the poultry feed industry. A sequential explanatory mixed-methods design was conducted in six maize-producing regencies in North Sumatra. Quantitative data from 100 maize farmers were analyzed using multiple linear regression, while industry-level evidence was obtained from 15 purposively selected medium-to-large poultry feed companies and interpreted cautiously due to limited observations. Qualitative interviews, observations, and documentation were used to explain the quantitative findings. HPP implementation had positive and significant effects on farmer profitability (&#946- = 111.792- p = 0.029) and maize quality (&#946- = 0.702- p = 0.045). Market access and perceived profitability improved farmer profitability, while cultivation practices, fertilizer access, and post-harvest handling improved maize quality. However, HPP was not significantly associated with local maize absorption (&#946- = 9.264- p = 0.978), whereas feed production capacity was the dominant predictor. HPP should therefore be integrated with post-harvest infrastructure, quality assurance, market access, and farmer-industry partnerships to strengthen sustainable local maize supply for poultry feed. Keywords: Government Purchase Price (HPP)- maize supply- farmer profitability- maize quality- poultry feed industry Share Link | Plain Format | Corresponding Author (Avery Arthur Sidebang)

14	Agribusiness and related subjects	ABS-85
When Trust Is Not Enough: Reconciling Relational Trust and Verifiable Halal Assurance in Fragmented Beef Supply Networks Onni Meirezaldi(a*), Hamidah Nayati Utami(a), Agung Nugroho Luthfi Imam Fahrudi(a), and Saparila Worokinasih(a) a)Universitas Brawijaya, Business Administration Department, Jalan Veteran, Malang, Indonesia *meirezaldi[at]ub.ac.id Abstract Maintaining halal integrity in beef supply networks is not only about following certification requirements at the organisational level. In Indonesia, beef passes through many hands, such as slaughterhouses, distributors, traders, and retailers. Each of these actors is independent, so halal assurance depends on how well they coordinate and share information. In the traditional Indonesian beef distribution system, there are many organisational relationships. Repeated transactions and trust between people can help business cooperation. However, to verify halal status, it is necessary to have supporting information that is credible and easy to access. This situation creates a challenge in governance, because there is a tension between trust based on relationships and the need for evidence to prove halal assurance, especially in supply networks that are fragmented. This paper discusses how trust between organisations and formal verification can work together to maintain credible halal assurance across different organisations. By using literature on interorganizational governance, relational trust, supply chain transparency, information quality, and halal supply chain management, this paper introduces a preliminary Trust and Verification Alignment Framework. The framework shows that trust can help with information sharing and cooperation, but trust alone is not enough to guarantee that halal assurance information is accurate, complete, or can be checked. Formal verification, with the support of good information practices and information systems, gives extra ways to record, exchange, and check halal-related information. This paper adds to the discussion on halal supply chain management by showing how governance can combine trust and verification for better halal assurance. It also gives a basic idea for future research to strengthen halal assurance in Indonesia^s fragmented beef supply networks. Keywords: Formal verification- Halal assurance- Halal beef supply chain- Interorganizational governance- Relational trust Share Link | Plain Format | Corresponding Author (Onni Meirezaldi)

15	Agribusiness and related subjects	ABS-87
The Effect of Perceived Financial Condition on Business Crisis Risk of Layer Chicken Farms Yahdi Briliant Rifandiraja (a), Jaisy Aghniarahim Putritamara (b*) Faculty of Animal Science and Technology, Universitas Brawijaya Abstract Smallholder layer chicken farms need effective financial risk assessment pathways to maintain business resilience against volatile feed costs and market prices. This study assessed the effect of perceived financial condition across five dimensions: liquidity, solvency and financial burden, profitability, efficiency and business activity, and growth and stability, on business crisis risk among smallholder layer chicken farms in Kademangan District, Blitar Regency, East Java, Indonesia. Data were gathered in August 2026 through a cross-sectional survey using multistage sampling. From 200 interviewed farmers, complete responses from 190 independent layer farmers meeting eligibility criteria were processed and analyzed. Perceived financial condition was measured using 19 items scored on a 1 to 5 Likert scale, adapted from established accounting crisis predictor ratios. Business crisis risk was operationalized as a binary dependent variable (1 = crisis-at-risk, 0 = non-crisis) based on a mean score threshold of greater than 3.00 across five financial distress indicators. Instrument validity (r-count greater than r-table) and reliability (alpha greater than 0.60) were confirmed. Data were evaluated descriptively and through binary logistic regression to estimate simultaneous (Likelihood Ratio test) and partial (Wald test, Odds Ratio) effects, alongside model fit (Hosmer-Lemeshow test) and explanatory power (Nagelkerke R2). The framework highlights liquidity management, feed efficiency, and debt containment as primary determinants of smallholder financial sustainability in key poultry production centers. Keywords: Layer chicken farm - Perceived financial condition - Business crisis risk - Financial distress - Binary logistic regression - Smallholder farming Share Link | Plain Format | Corresponding Author (Yahdi Briliant Rifandiraja)

16	Agribusiness and related subjects	ABS-88
The Role of Social influence in Moderating Expectation Toward Confirmation and Consumer Satisfaction of Layer Chicken Eggs Yovan Faihza Maulana and Jaisy Aghniarahim Putritamara Faculty of Animal Science and Technology, Universitas Brawijaya Abstract Rapid digital commerce expansion in Indonesia introduces significant logistical risks and consumer uncertainty in online layer chicken egg purchases, thereby highlighting a critical research gap regarding perishable agricultural commodities within digital markets. This study aims to comprehensively analyze consumer characteristics and thoroughly examine the moderating role of social influence in shaping expectations toward confirmation and consumer satisfaction. Adopting a robust quantitative approach, this research utilizes a structured survey method to collect primary data from 150 respondents selected through multistage purposive sampling across Blitar Regency and City. Consumer expectations, purchasing experience, confirmation, marketplace review-based social influence, and overall consumer satisfaction are measured carefully using a 1-5 Likert scale. Furthermore, the analytical procedure employs Partial Least Squares Structural Equation Modeling via SmartPLS software to evaluate the measurement outer models, structural inner models, and two-stage interaction moderating effects. This research anticipates demonstrating that consumer expectations significantly shape confirmation, and confirmation subsequently drives consumer satisfaction, while marketplace social influence significantly moderates the relationship between expectations and confirmation as well as between confirmation and consumer satisfaction. Keywords: Expectation Confirmation Theory- Layer chicken eggs- Online marketplace- Social influence- Consumer satisfaction Share Link | Plain Format | Corresponding Author (Yovan Faihza Maulana)

17	Agribusiness and related subjects	ABS-89
Preferences and Willingness to Pay for Digital and Automation Technology Attributes among Layer Chicken Farmers: A Discrete Choice Experiment Aiman Shiddiqin (a), Jaisy Aghniarahim Putritamara (b*) Faculty of Animal Science and Technology, Universitas Brawijaya Abstract Digital and automation technologies offer opportunities to improve resource efficiency and operational management in layer chicken farming. However, technology adoption depends not only on technological performance but also on how farmers evaluate potential benefits relative to the investment required for adoption. This study examines preferences for digital and automation technology attributes among layer chicken farmers and estimates their willingness to pay (WTP) for improvements in those attributes in Kademangan District, Blitar Regency, East Java, Indonesia. Data were collected in August 2026 using a Discrete Choice Experiment (DCE). The study involved 170 layer chicken farmers, each of whom evaluated eight choice sets consisting of two hypothetical technology alternatives and an opt-out option representing non-adoption. Five attributes were evaluated: labor-hour savings, energy savings, water savings, increased sales, and adoption cost. Non-cost attributes were specified at multiple improvement levels, while adoption cost ranged from IDR 5 million to IDR 150 million. Choice data were structured as panel observations and analyzed using a correlated random-parameters Mixed Logit model in WTP-space to account for preference heterogeneity and directly estimate the monetary value of improvements in non-cost attributes. This analytical framework provides an empirical basis for identifying technology characteristics valued by layer farmers and for supporting technology developers, policymakers, and financing institutions in designing adoption strategies that better reflect farmer priorities and investment considerations. Keywords: Layer chicken farmers - Digital technology - Automation - Discrete choice experiment - Willingness to pay - Mixed logit Share Link | Plain Format | Corresponding Author (Aiman Shiddiqin)

18	Agribusiness and related subjects	ABS-90
Risk Perception, Risk Management Strategies, and Determinants of Farmers Adoption in Layer Chicken Farming in Blitar Regency Muhammad Kamaluddin Mukhlis (a) Jaisy Aghniarahim Putritamara (b*) Faculty of Animal Science and Technology, Universitas Brawijaya Abstract Egg producers in Indonesia face growing uncertainty from price volatility, rising feed costs, policy changes, and oversupply, yet integrated evidence on how laying hen farmers perceive and manage these risks remains scarce. This study aims to analyze farmer perceptions of five risk categories, namely production, marketing, institutional or policy, personal or labor, and financial risks, together with risk attitudes, the risk management strategies adopted, and the determinants of strategy adoption among smallholder laying hen farmers in Blitar Regency, East Java, Indonesia. A quantitative survey will be conducted in Kademangan and Srengat Subdistricts using multistage purposive sampling. Structured questionnaires, direct observation, and documentation will be used to collect data from 150 farmers, a number that exceeds the minimum sample size of 133 calculated with the Slovin formula. Risk perceptions will be measured on a five point Likert scale and the agreement among farmers in ranking risk severity will be tested with Kendall coefficient of concordance. Risk attitudes will be classified as risk averse, risk neutral, or risk seeking according to mean attitude scores. Adoption of preventive, mitigation, and coping strategies will be described by percentage, and its determinants will be estimated with a multivariate probit model that accounts for correlation among adoption decisions. The findings are expected to provide empirical evidence for policymakers, extension services, and farmer institutions in designing targeted support for small and medium scale egg producers. Keywords: Blitar, Layer Chicken Farming, Risk attitude, Risk management strategies, Risk perception Share Link | Plain Format | Corresponding Author (Muhammad kamaluddin Mukhlis)

19	Agribusiness and related subjects	ABS-91
Consumer Willingness to Pay for Animal Welfare Labels on Chicken Eggs: Evidence from a Discrete Choice Experiment in Indonesia Nabila Callista (a), Jaisy Aghniarahim Putritamara (a*) a) Faculty Of Animal Science and Technology, Universitas Brawijaya, Jalan Veteran No 1, Malang 65415, East Java, Indonesia Abstract Animal welfare has become an increasingly important credence attribute in global egg markets, yet empirical evidence on consumer valuation remains concentrated in developed countries. Indonesia is one of Southeast Asia^s largest egg producers and consumers, but most laying hens are still kept in conventional battery cages, and existing research has focused mainly on producers^ perspectives. This study aims to (1) assess consumer awareness of and trust in animal welfare-related labels, (2) examine consumer preferences for housing system, packaging label, and price attributes, (3) estimate willingness to pay (WTP) for improved housing systems and welfare labels, and (4) analyse how socioeconomic characteristics influence WTP. Primary data are collected through an online survey of 100 purposively selected egg consumers living mainly in major Indonesian cities, including Greater Jakarta, Bandung, Semarang, Surakarta, Yogyakarta, Surabaya, Malang, and Denpasar. A discrete choice experiment with nine choice sets, each containing three unlabelled egg alternatives and an opt-out option, yields 900 choice observations. Products are described by a four-tier housing system (battery cage, cage-free, free-range, and organic), a packaging label (^Animal Welfare Care^, ^Organic^, or no label), and price (IDR 28,000-65,000 per kg). Label awareness and trust are analysed descriptively, and preferences are estimated using a multinomial logit model. Marginal WTP is derived as the negative ratio of each attribute coefficient to the price coefficient, with delta-method confidence intervals. Interaction terms between attributes and respondent characteristics capture preference heterogeneity. The findings are expected to show what price premiums Indonesian urban consumers are willing to pay for higher-welfare eggs. This evidence can inform producers^ investment decisions on cage-free and free-range systems and support the design of credible egg labelling and certification schemes in developing-country markets. Keywords: animal welfare, discrete choice experiment, willingness to pay, laying hen housing system, food labelling, Indonesia Share Link | Plain Format | Corresponding Author (Nabila Callista)

20	Agribusiness and related subjects	ABS-92
Layers Farmers Preference For Multimodal AI-IoT Early Warning Applications in Oversupply Prediction and Price Stabilization Marya Ellijah Azahra and Jaisy Aghniarahim Putritamara Universitas Brawijaya Abstract The chronic structural imbalance between high daily egg production and fluctuating market demand in Indonesia triggers severe oversupply risks and extreme price volatility at the producer level, thereby highlighting a critical research gap regarding the adoption of smart digital predictive technologies in poultry agribusiness, particularly within major production centers like Blitar Regency. Consequently, this formal study aims to comprehensively analyze layer farmers^ preferences and examine the determinants shaping their behavioral intention to adopt multimodal Artificial Intelligence and Internet of Things (AI-IoT) early warning applications designed for oversupply prediction and price stabilization. Adopting a robust quantitative approach, this academic research utilizes a structured survey method to collect primary data from 110 respondents selected carefully through a modified multistage purposive sampling method across Kademangan and Srengat sub-districts in Blitar Regency. Performance Expectancy, Facilitating Conditions, Mastery-Approach Goals, and Behavioral Intention are measured precisely using a 1-5 Likert scale. Furthermore, the comprehensive analytical procedure employs Structural Equation Modeling to evaluate the measurement models, structural paths, and multi-group moderating effects based on farmers^ socio economic characteristics. Keywords: Unified Theory of Acceptance and Use of Technology- Multimodal AI-IoT- Oversupply prediction- Price stabilization- Layer chicken eggs Share Link | Plain Format | Corresponding Author (Marya Ellijah Azahra)

21	Agribusiness and related subjects	ABS-93
Factors Influencing the Adoption of Climate-Smart Livestock Practices in Layer Chicken Farming in Kademangan District, Blitar Regency Muhammad Fikril Hakim, Jaisy Aghniarahim Putritamara Faculty of Animal Science, Brawijaya University, Malang, Indonesia Abstract Climate change increases heat stress in tropical poultry systems, reducing feed intake, egg production, and eggshell quality in laying hens. Climate smart livestock practices support adaptation and mitigation, but their success depends on the adoption decisions of farmers, which vary across practices. This study aims to analyze the adoption level and determinants of five practices on laying hen farms in Kademangan Subdistrict, Blitar Regency, East Java, Indonesia. The practices cover climate adaptive housing management, feed and water adjustment, biosecurity and vaccination, manure and waste processing, and energy and water efficiency.A quantitative cross sectional survey will be conducted through structured questionnaires, direct observation, and documentation, involving 150 farmers selected by multistage purposive sampling. Explanatory variables cover farmer characteristics, farm scale and resources, access to information, institutions, and services, and farm location. Descriptive statistics will describe adoption levels and perceived benefits, while a Multivariate Probit model estimated by simulated maximum likelihood will identify determinants of adoption and test interdependence among adoption decisions using residual correlations and a likelihood ratio test. The findings are expected to provide empirical evidence for designing targeted extension, training, and policy interventions that strengthen the climate resilience of egg production systems. Keywords: Adoption, Climate smart livestock, Laying hens, Multivariate Probit Share Link | Plain Format | Corresponding Author (Muhammad Fikril Hakim)

22	Agribusiness and related subjects	ABS-94
Preferences of Layer Chicken Farmers for Transitioning to Organic Egg Production: A Discrete Choice Experiment Ahmad Wildan Firdaus (a), Jaisy Aghniarahim Putritamara (b) Faculty of Animal Science and Technology, Universitas Brawijaya Abstract Preferences of Layer Chicken Farmers for Transitioning to Organic Egg Production: A Discrete Choice Experiment Ahmad Wildan Firdaus (a), Jaisy Aghniarahim Putritamara (b*) Faculty of Animal Science and Technology, Universitas Brawijaya Abstract Smallholder layer chicken farms in Indonesia operate under volatile feed costs and uncertain egg prices, while organic eggs offer a potential market premium. However, transitioning from conventional to organic production involves technical, economic, and market risks that may discourage farmers from switching. This study aims to analyze the preferences of layer chicken farmers in Blitar Regency, East Java, toward transitioning to organic egg production, and to examine how transition attributes and farm characteristics are associated with that choice. A quantitative survey was conducted using a discrete choice experiment (DCE) with 150 farmers selected through multistage purposive sampling in four subdistricts: Kademangan, Srengat, Bakung, and Ponggok. Each respondent evaluated eight choice sets, each containing two organic production scenarios and a conventional status quo option. Six attributes were included: technical training, sales contract, organic certification and traceability, the presence of neighboring farms that have switched, production cost increase (30%, 60%, or 100%), and egg selling price (IDR 35,000, 45,000, or 55,000 per kg). Data will be analyzed using descriptive statistics and a conditional logit model. The results are expected to identify which attributes are most strongly associated with the probability of choosing organic production, and to provide a basis for designing support schemes, partnership models, and marketing arrangements for organic egg development in Blitar Regency. Keywords: Layer chicken farm- organic egg- transition to organic production- discrete choice experiment- conditional logit- farmer preference Keywords: Layer chicken farm- organic egg- transition to organic production- discrete choice experiment- conditional logit- farmer preference Share Link | Plain Format | Corresponding Author (Wildan Firdaus)

23	Animal Farming Management and Production	ABS-8
Utilization of Moringa oleifera L. Leaf Extract as a Natural Antiseptic in Preventing Subclinical Mastitis in Dairy Cows Syarifah Nurul Waqiah1, Ratmawati Malaka2,*, and Sutomo2 1Doctoral Program, Faculty of Animal Science, Hasanuddin University, Jl. Perintis Kemerdekaan Km. 10, Tamalanrea, Makassar, South Sulawesi, Indonesia. 2Department of Animal Production, Faculty of Animal Science, Hasanuddin University, Jl. Perintis Kemerdekaan Km. 10, Tamalanrea, Makassar, South Sulawesi, Indonesia. Abstract Subclinical mastitis is a major problem in the dairy industry because it shows no visible clinical signs yet reduces milk yield and quality while raising somatic cell count above 200,000 cells/mL. Its prevalence is high worldwide, reaching 68.18% at the cow level in East Java, Indonesia, causing average losses of 121-131 US dollars per cow annually. Continuous use of synthetic antiseptics and antibiotics in teat dipping raises concerns over bacterial resistance and milk residues. This review examines the potential of Moringa oleifera leaf extract as a natural antiseptic against subclinical mastitis, based on published evidence. Moringa leaves contain over 90 bioactive compounds, including flavonoids, tannins, saponins, alkaloids, and phenolics, showing antibacterial activity against mastitis pathogens, particularly Staphylococcus aureus and Streptococcus agalactiae, by disrupting cell membrane integrity and inhibiting enzyme synthesis. In vitro studies show the extract inhibits mastitis-causing bacteria in a concentration-dependent manner, with a minimum inhibitory concentration of 4.80 mg/mL against multidrug-resistant S. aureus, comparable to conventional antiseptics. These findings position Moringa leaf extract as a promising teat dip ingredient. However, evidence remains largely in vitro, while in vivo studies on cows are limited, so further research is needed to confirm effectiveness and safety. Keywords: antibacterial- dairy cows- moringa leaves- natural antiseptic- subclinical mastitis Share Link | Plain Format | Corresponding Author (Syarifah Nurul Waqiah)

24	Animal Farming Management and Production	ABS-10
Indonesian Native Chickens (Ayam Kampung) as a Local Source of Anti-Rabies Antibody: Optimisation of an In-House Indirect ELISA Using Three Commercial Rabies Vaccines as Coating Antigens Sulaiman Ngongu Depamede (1*), Wayan Wariata (1), Made Sriasih (1), Anwar Rosyidi (1), Wirdullutfi Wirdullutfi (2), and Nurul Azizah (3) 1) Faculty of Animal Science, University of Mataram, Jl. Majapahit No. 62 Mataram, 83125, Indonesia * sulaiman_n[at]unram.ac.id 2) Faculty of Teacher Training and Education, University of Mataram, Jl. Majapahit No. 62 Mataram, 83125, Indonesia 3) Master of Animal Resources Management Program, Faculty of Animal Science, University of Mataram, Jl. Majapahit 62, Mataram 83125. Abstract Rabies remains a fatal zoonosis in eastern Indonesia, where affordable serological reagents are scarce. Avian IgY offers a low-cost, non-invasive alternative to mammalian antibodies, yet Indonesian native chickens (ayam kampung), the dominant smallholder poultry, have not been evaluated as antibody donors. This study assessed their humoral response to commercial rabies vaccines and optimised an in-house indirect ELISA using the vaccines as coating antigens. Two hens received an intramuscular cocktail of three inactivated vaccines (Defensor 3, Nobivac Rabies, Rabisin) plus three four-weekly boosters. Sera taken four weeks post-final booster were tested against each vaccine coated at 1:250 and 1:25, and by two-fold serum titration. Both hens seroconverted strongly (positive-to-negative ratios 3.2-17.5). Nobivac-coated wells gave the best signal-to-noise ratio because pre-immune reactivity was lowest (blank-corrected OD450 0.028, vs 0.142 for Defensor 3 and 0.223 for Rabisin), indicating natural antibody binding to vaccine matrix components. A ten-fold increase in coating antigen raised OD450 only 1.0-1.4-fold, showing saturation at 1:250. Four-parameter logistic fitting (R^2 >= 0.997) gave midpoint titres of 1:567 and 1:748, with reactivity above cut-off at 1:12,800. Ayam kampung thus mount a robust anti-rabies response- 1:250 coating with 1:400 serum dilution is proposed as a cost-efficient format. Keywords: ayam kampung, IgY technology, immunodiagnostics, indirect ELISA, native chicken, rabies. Share Link | Plain Format | Corresponding Author (Sulaiman Ngongu Depamede)

25	Animal Farming Management and Production	ABS-34
Larval Development Period and Conversion Efficiency of Black Soldier Fly Larvae (Hermetia illucens L.) Reared on Vegetable Waste Fish Offal Substratesr Rain Heart Daligdig (1) Mark Anthony Mana (2) Fernand Fagutao and Richelle Niepes(4) Mindanao State University at Naawan Abstract The utilization of organic wastes as substrates for black soldier fly larvae (BSFL), Hermetia illucens L., offers a potential approach for converting biodegradable waste into valuable larval biomass. This study evaluated the effects of different vegetable waste and fish offal substrate mixtures on the larval development period and conversion efficiency of BSFL. Three substrate treatments formulated at a ratio of 2:2:1 were evaluated: Treatment 1 (cabbage waste, kangkong waste, and fish offal waste), Treatment 2 (squash waste, tomato waste, and fish offal waste), and Treatment 3 (carrot waste, radish waste, and fish offal waste). Each treatment was replicated six times and arranged in a Completely Randomized Design (CRD). Data were analyzed using one-way Analysis of Variance (ANOVA), followed by the Tukey HSD test to determine significant differences among treatment means at a 5 percent significance level. Significant differences among treatments were observed in larval development period and conversion efficiency. Treatment 2 exhibited the shortest larval development period at a mean of 20.33 days with a standard deviation of 0.52 days and the highest efficiency of conversion of digested substrate (ECD) at a mean of 55.98 percent with a standard deviation of 1.98 percent. These findings indicate that a substrate composed of squash waste, tomato waste, and fish offal at a ratio of 2:2:1 provides favorable conditions for faster larval development and more efficient conversion of digested substrate by BSFL. The results demonstrate the potential of appropriately formulated vegetable waste and fish offal mixtures as substrates for improving BSFL production while facilitating the biological conversion of organic wastes. Keywords: bioconversion, organic waste utilization, sustainable feed production, waste valorization, substrate quality Share Link | Plain Format | Corresponding Author (Rain Heart Daligdig)

26	Animal Farming Management and Production	ABS-42
EGG PRODUCTION, EGG WEIGHT, AND HATCHABILITY RATE OF RED JUNGLE FOWL x SELECTED PHILIPPINE NATIVE HENS Vanessa Gem Niez (1) Dino D Edubos (2) Precious Gay Inanod (3) Julie Ann C Alampayan (4) Richelle Niepes (5) Mark Anthony Mana (6) Mindanao State University at Naawan Abstract This study evaluated the reproductive and growth performance of Red Jungle Fowl Gallus gallus crossed with Philippine native chicken breeds under confinement management and natural incubation conditions. The treatments consisted of Darag x Red Jungle Fowl T1, Oh&#8209-Shamo x Red Jungle Fowl T2, and Basilan x Red Jungle Fowl T3, with four replicates per treatment observed over four months. Parameters evaluated included egg production, hatchability rate, egg weight, initial chick weight, final chick weight, and weight gain. Data were analyzed using Welch ANOVA, Kruskal&#8209-Wallis test, and One&#8209-Way ANOVA following tests of normality and homogeneity of variance. Results revealed significant differences in egg production, hatchability rate, and egg weight among treatments. Darag x Red Jungle Fowl recorded the highest egg production 12.75 plus minus 2.22 eggs and clutch performance, while Basilan x Red Jungle Fowl achieved the highest hatchability rate 66.41 plus minus 8.65 percent and demonstrated more consistent reproductive efficiency. Oh&#8209-Shamo x Red Jungle Fowl produced the heaviest eggs 49.87 plus minus 4.23 g. No significant differences were observed in initial chick weight, final chick weight, and weight gain among the successful hatchability treatments. The study also documented phenotypic variation among the crossbreeds, indicating genetic diversity among the crossbreeds. The findings suggest that Darag x Red Jungle Fowl has greater potential for improving egg production, whereas Basilan x Red Jungle Fowl appears more promising for hatchability and reproductive efficiency under confinement management conditions. Keywords: Basilan, Breeding, Darag, Oh Shamo, Upgrading Share Link | Plain Format | Corresponding Author (Vanessa Gem Niez)

27	Animal Farming Management and Production	ABS-52
Study Of Diversity Heat Shock Protein Binding Protein 1 (HSPBP1) Gene In Local Goats Arrum Zenitafia (1), Dimas Eka Darmawan (1), Ari Ardiyantoro (2), and Wike Andre Septian (2) Faculty of Animal Science and Technology, Universitas Brawijaya, Jl. Veteran, Ketawanggede, Kec. Lowokwaru, Kota Malang, Jawa Timur 65145, Indonesia Abstract Local goats are important genetic resources in Indonesia due to their adaptability to tropical environmental conditions. Heat Shock Protein Binding Protein 1 (HSPBP1) is a co-chaperone associated with Heat Shock Protein 70 (HSP70) and plays a role in regulating cellular responses to environmental stress. This study aimed to identify polymorphisms in the HSPBP1 gene among Kacang, Peranakan Etawa (PE), and Senduro goats using the Polymerase Chain Reaction-Restriction Fragment Length Polymorphism (PCR-RFLP) method with MspI restriction enzyme. A total of 115 DNA samples were analyzed, consisting of 40 Kacang, 35 PE, and 40 Senduro goats. PCR amplification produced a 597-bp fragment, which was subsequently digested by MspI, generating fragments of 487 and 110 bp. DNA fragments were visualized using agarose gel electrophoresis to determine restriction patterns and genotype variation. The results revealed polymorphism in Senduro goats, while Kacang and PE goats were monomorphic. These findings indicate genetic variation of the HSPBP1 gene among local goat populations and provide preliminary information for future studies on genetic diversity and adaptation related traits in Indonesian goats. Keywords: Local goats- HSPBP1 gene- genetic polymorphism- PCR-RFLP Share Link | Plain Format | Corresponding Author (Arrum Zenitafia)

28	Animal Farming Management and Production	ABS-53
GENETIC VARIATION OF THE CALLIPYGE (CLPG) GENE IN CROSS TEXEL AND DORPER F1 REVEALED BY PCR-RFLP Dimas Eka Darmawan, Arrum Zenitafia, Asrullah As, Ari Ardiantoro, Wike Andre Septian, Kuswati. Faculty of Animal Science and Technology, Universitas Brawijaya Abstract The Callipyge (CLPG) gene is associated with muscle development in sheep and may serve as a molecular marker for genetic characterization of meat-producing sheep. This study aimed to detect polymorphism in the CLPG gene in Cross Texel and Dorper F1 sheep using Polymerase Chain Reaction-Restriction Fragment Length Polymorphism (PCR-RFLP). A total of 95 DNA samples, consisting of 4 Cross Texel and 51 Dorper F1 sheep, were analyzed. A 615 bp fragment of the CLPG gene was amplified by PCR and subsequently digested using the NaeI restriction enzyme. The digested products were separated by agarose gel electrophoresis to identify genotypes based on restriction patterns. NaeI digestion produced fragments of 400 and 215 bp. Two genotypes were identified based on the observed banding patterns. The GG genotype, represented by two fragments of 400 and 215 bp, was observed in 46 Dorper F1 and 39 Cross Texel samples, whereas the AG genotype, represented by three fragments of 615, 400, and 215 bp, was observed in 5 Dorper F1 and 4 Cross Texel samples. No AA genotype was detected. The results indicate CLPG polymorphism in both populations and demonstrate that PCR-RFLP using NaeI can characterize CLPG variation in these sheep populations. Keywords: Callipyge gene, PCR-RFLP, NaeI, polymorphism, sheep. Share Link | Plain Format | Corresponding Author (Dimas Eka Darmawan)

29	Animal Farming Management and Production	ABS-62
Weekly Body Weight Patterns and Their Associations with Fleshing Score and Feather Drop in Broiler Breeders in Preparation for the Production Phase Hermus Syaifudin1, Mukhlis Efendi1, Filoza Marwi2, and Muhammad Halim Natsir2,*Please Just Try to Submit This Sample Abstract Hermus Poultry Consultant, Lawang, Malang, East Java, Indonesia. E-mail: hermus.syaifudin[at]gmail.com- mukhlisme[at]gmail.com 2Faculty of Animal Science and Technology, Universitas Brawijaya, 65145, Indonesia. E-mail: filozamarwi[at]ub.ac.id *)Corresponding author: emhanatsir[at]ub.ac.id Abstract This study examined weekly body weight patterns and their associations with fleshing score and feather drop in broiler breeders aged 12-23 weeks in preparation for the production phase. Records comprised 2,160 observations from 180 birds in two houses and three size grades. House, grade, and sample number identified repeated birds. Feather measurements at weeks 21-23 were provisionally treated as equivalent to earlier feather-drop measurements. Friedman and paired Wilcoxon tests evaluated temporal changes- Kruskal-Wallis and Dunn tests assessed weekly grade differences. House-adjusted partial Spearman correlations evaluated body weight-fleshing and body weight-feather associations within each week and grade. Restricted-permutation p-values used Holm correction across 108 pairwise tests. All variables differed across ages within each grade (adjusted p<0.001). Body weight distributions differed among grades at nine ages, excluding weeks 12, 15, and 17. Body weight-fleshing coefficients were positive throughout (0.312-0.700), with significance in 32 of 36 week-grade combinations. Body weight-feather coefficients were negative throughout (-0.777 to -0.097), with significance in 22 combinations. Both associations were significant in 21 combinations and across all grades at weeks 17, 18, 19, and 22. Median paired body weight gains from weeks 12 to 23 were 1,435, 1,447, and 1,584.5 g for small, normal, and large grades, respectively. Body weight was consistently associated with fleshing, whereas feather-related associations varied more among weeks and grades. Bird matching, feather definitions, and limited independent replication constrain interpretation. Weekly body weight variation provided complementary information about fleshing and feather indicators. Concurrent associations at weeks 17, 18, 19, and 22 support further evaluation of combined monitoring, without establishing causal effects or optimal assessment ages. Keywords: broiler breeders- weekly body weight- fleshing score- feather drop- body size grade. Share Link | Plain Format | Corresponding Author (hermus syaifuddin)

30	Animal Farming Management and Production	ABS-64
Climate-Smart Livestock Production for Food Security in Southeast Asia: Mapping Research Trends and Future Directions through Bibliometric Analysis JASON OBLIGADO GICA Davao del Sur State College, Philippines National Taiwan University, Taiwan Abstract Climate-smart livestock production has emerged as a critical strategy for enhancing food security, improving farm resilience, and mitigating the environmental impacts of livestock systems in Southeast Asia. As the region faces increasing challenges from climate change, population growth, and rising demand for animal-source foods, understanding the development and direction of research in this field is essential for informing policy, research priorities, and sustainable agricultural practices. This study aims to systematically map and evaluate the scientific literature on climate-smart livestock production and its contribution to food security in Southeast Asia through a bibliometric analysis. Bibliographic data will be retrieved from the Scopus database using a comprehensive search strategy covering publications related to climate-smart livestock production, sustainable animal agriculture, resilience, and food security. Relevant documents published up to 2026 will be screened and analyzed using Bibliometrix (R package) and VOSviewer. The study will examine publication trends, leading authors, institutions, countries, source journals, citation patterns, collaboration networks, and keyword co-occurrence structures. Furthermore, thematic mapping and research trend analyses will be conducted to identify emerging topics, knowledge gaps, and future research directions within the field. The expected findings will provide a comprehensive overview of the intellectual structure and evolution of climate-smart livestock research in Southeast Asia. The study is anticipated to highlight major research themes, regional collaboration patterns, and priority areas that support sustainable livestock development and food security goals. By synthesizing the existing body of knowledge, this bibliometric analysis will serve as a valuable reference for researchers, policymakers, and development practitioners seeking to strengthen climate resilience and sustainability within livestock production systems across Southeast Asia. Keywords: Climate-smart livestock production- Food security- Southeast Asia- Sustainable agriculture- Bibliometric analysis- Livestock systems. Share Link | Plain Format | Corresponding Author (JASON GICA)

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