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First Report Of The Lanzones Scale Insect, Unaspis Mabilis Lit & Barbecho (Hemiptera: Diaspididae), Infesting Cacao, Theobroma Cacao L. [Research Note], Ireneo L. Lit Jr., Barbara L. Caoili, Merdelyn T. Caasi-Lit, Cristian C. Lucanas, Kristine O. Abenis, Vanessa Kate I. Alvarez, Romnick A. Latina
First Report Of The Lanzones Scale Insect, Unaspis Mabilis Lit & Barbecho (Hemiptera: Diaspididae), Infesting Cacao, Theobroma Cacao L. [Research Note], Ireneo L. Lit Jr., Barbara L. Caoili, Merdelyn T. Caasi-Lit, Cristian C. Lucanas, Kristine O. Abenis, Vanessa Kate I. Alvarez, Romnick A. Latina
The Philippine Agricultural Scientist
The lanzones scale insect, Unaspis mabilis Lit & Barbecho (Hemiptera: Diaspididae), is reported to infest cacao trees (Theobroma cacao) in Brgy. Nalook, Kalibo, Aklan. Despite minor morphological differences, analysis of DNA barcode region of the cytochrome c oxidase subunit I (COI) generated from the cacao-infesting scale insects (GenBank Accession Number MN114100.1) matched the DNA barcodes obtained from a complementary study (GenBank Accession Number MN114099), and hence, supported the species identity based on morphological characters. Notes on the distribution, host plant association and insights on possible control measures were provided.
Maximum Entropy (Maxent) Modeling Of The Potential Distribution Of Aspidiotus Rigidus Reyne (Hemiptera: Diaspididae) In The Philippines, Ireneo B. Pangga, Sheryl A. Yap, Arnold R. Salvacion
Maximum Entropy (Maxent) Modeling Of The Potential Distribution Of Aspidiotus Rigidus Reyne (Hemiptera: Diaspididae) In The Philippines, Ireneo B. Pangga, Sheryl A. Yap, Arnold R. Salvacion
The Philippine Agricultural Scientist
The coconut scale insect (CSI) Aspidiotus rigidus Reyne (Hemiptera: Diaspididae) poses a significant threat to coconut production in the Philippines as shown by recent outbreaks. Ecological niche modeling using Maximum Entropy (MaxEnt) was used to determine the effects of environmental factors on the infestation of A. rigidus, and map its potential distribution in the Philippines to assess the risk of future outbreaks. The influence of bioclimatic variables on A. rigidus infestation was determined using MaxEnt modeling using the location data of A. rigidus occurrence confirmed using molecular markers. Rainfall and temperature variables were important for A. rigidus distribution with …