Determining the Correlation between Abaca (Musa textilis) Distribution Patterns and Bunchy Top Disease Prevalence in the Caraga Region through Spatial Point Pattern and Statistical Analysis

Abaca (Musa textilis), a versatile and strong natural fiber endemic to the Philippines, presents an eco-friendly alternative to wood in pulp and paper production and is preferred over plastics and synthetic materials.Despite its benefits, the cultivation of Abaca faces significant challenges from Banana Bunchy Top Disease (BBTD), threatening the industry's viability.This study employs Spatial Point Pattern Analysis to investigate the distribution of Banana Bunchy Top Virus (BBTV), utilizes logistic regression to identify environmental factors affecting disease spread, and creates a hotspot map pinpointing municipalities at higher risk.The logistic regression analysis identifies precipitation, maximum and minimum temperatures, and wind speed as significant predictors of BBTV transmission in abaca plants.The hotspot analysis revealed that out of the 19 municipalities with abaca crops, Butuan City, Las Nieves, Bayugan, Esperanza, and Sibagat are high-risk areas for BBTV infection, underscoring the need for targeted disease management strategies in these regions.

Authors

Institutions

Publication Details

Journal
Proceedings of International Exchange and Innovation Conference on Engineering & Sciences (IEICES)
Published
2024-10-17
DOI
https://doi.org/10.5109/7323312
Primary Topic
Banana Cultivation and Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determining the Correlation between Abaca (Musa textilis) Distribution Patterns and Bunchy Top Disease Prevalence in the Caraga Region through Spatial Point Pattern and Statistical Analysis

Arnaldo C. Gagula, Elizabeth P. Parac, Hazel Anne F. Animo, Mitche R. Tajale
Proceedings of International Exchange and Innovation Conference on Engineering & Sciences (IEICES)
Banana Cultivation and Research
article

Determining the Correlation between Abaca (Musa textilis) Distribution Patterns and Bunchy Top Disease Prevalence in the Caraga Region through Spatial Point Pattern and Statistical Analysis

Arnaldo C. Gagula, Elizabeth P. Parac, Hazel Anne F. Animo, Mitche R. Tajale
article en

Abstract

Abaca (Musa textilis), a versatile and strong natural fiber endemic to the Philippines, presents an eco-friendly alternative to wood in pulp and paper production and is preferred over plastics and synthetic materials.Despite its benefits, the cultivation of Abaca faces significant challenges from Banana Bunchy Top Disease (BBTD), threatening the industry's viability.This study employs Spatial Point Pattern Analysis to investigate the distribution of Banana Bunchy Top Virus (BBTV), utilizes logistic regression to identify environmental factors affecting disease spread, and creates a hotspot map pinpointing municipalities at higher risk.The logistic regression analysis identifies precipitation, maximum and minimum temperatures, and wind speed as significant predictors of BBTV transmission in abaca plants.The hotspot analysis revealed that out of the 19 municipalities with abaca crops, Butuan City, Las Nieves, Bayugan, Esperanza, and Sibagat are high-risk areas for BBTV infection, underscoring the need for targeted disease management strategies in these regions.

Proceedings of International Exchange and Innovation Conference on Engineering & Sciences (IEICES)Vol. 10
Caraga State University (PH)
Openalex Percentile: Top 52%
Banana Cultivation and Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.