Intawicha, P.
Unknown Affiliation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Growth Performance and Hematology of Khao Lamphun Calves with the Implementation of Creep Feeding Suerphang, C.; Sittiboonma, A.; Sorachakura, C.; Intawicha, P.; Panase, P.; Laorodphan, N.; Dongpaleethun, C.; Chiang, H. I.; Ju, J. C.
Tropical Animal Science Journal Vol. 48 No. 2 (2025): 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.2025.48.2.163

Abstract

The study aimed to evaluate the effect of creep feeding on growth performance and the hematological and biochemical profiles of Khao Lamphun calves. Twenty Khao Lamphun cow-calf pairs were randomly allotted into two treatments: T1, no supplementation of creeping feed (n=10), and T2, with concentrates as creep-feeding (n=10). Production or growth performance was evaluated based on body weight gain (BWG), heart girth (HG), hip height (HH), and body length (BL) throughout the experimentation. By day 120, the final live weight of the creep-fed calves was greater than the non-creep-fed calves, p<0.01). The creep-fed calves also showed a higher average BWG than the non-creep-fed calves. The final body conformation indices, i.e., HG, HH, and BL of the creep-fed calves, were higher than the non-creep-fed p<0.05). The hematological profiles showed no difference in the plasma glucose levels between the two groups. The cholesterol level of the creep-fed calves was higher than the non-creep-fed calves (p<0.05). Similarly, no differences were found in calf's serum biochemical and differential leukocyte profiles between treatment groups. In conclusion, the implementation of creep feeding can lead to improved growth performance and health parameters of Khao Lamphun calves. Therefore, it is recommended as a routine practice to enhance the productivity of Khao Lamphun calves in Thailand and, presumably, in other cattle farms.
Logistic Regression Analysis of Factors Influencing Mobile Application Adoption in Smallholder Livestock Farming: A Case Study from Northern Thailand Saengwong, S.; Kongmuang, N.; Intawicha, P.; Sakphoowadon, S.
Tropical Animal Science Journal Vol. 48 No. 2 (2025): 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.2025.48.2.171

Abstract

This study examines the factors affecting the adoption of mobile farming management applications by smallholder livestock farmers in Northern Thailand. Data from 300 farmers were analyzed using binary logistic regression to evaluate 14 independent variables and their influence on application use. Four significant factors were identified: education level, participation in training programs, extension support, and membership in farmer associations. Education and participation in training programs were highly significant (p<0.001), whereas extension support and membership in farmer associations were both significantly associated with mobile application use (p<0.01 and p<0.05). Our findings indicate that educational initiatives, training programs, and strong extension support are crucial in enhancing mobile application adoption. Farmer associations also play a vital role in promoting technology use through peer influence and social networks. These insights highlight the importance of targeted strategies to improve mobile application adoption, thereby contributing to more efficient livestock management practices. To create practical and long-term digital solutions specifically designed to meet smallholder farmers’ requirements, it is essential to gain an in-depth understanding of these elements. The findings highlight the importance of addressing educational gaps, promoting training programs, and enhancing extension services to encourage technology adoption among smallholder farmers. By focusing on these critical factors, farmers can increase their adoption of mobile applications, thereby improving livestock management efficiency and enhancing the adaptability of smallholder farming systems in rural areas.