
Rungrote Nilthong- Doctor of Philosophy
- Mae Fah Luang University
Rungrote Nilthong
- Doctor of Philosophy
- Mae Fah Luang University
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6
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Publications
Publications (6)
Brown planthopper (BPH) is the most problematic insect in rice cultivation, as it decreases crop yields. In this study, 143 upland rice varieties were genotyped for five essential Bph resistance genes: bph2, Bph3, Bph14, Bph15, and Bph17. The gene frequencies of the five Bph resistance genes varied from 33.57% to 61.54%. The 139 varieties contained...
Rice blast disease caused by the fungus Pyricularia oryzae is one of the most devastating diseases of rice (Oryza sativa L.). Therefore, the use of resistant rice varieties would be the most effective way to control this disease. Based on disease evaluation, upland rice varieties were classified into two groups: resistant (35%) and moderately resis...
Rice blast is the most devastating disease of rice (Oryza sativa L.) causing yield losses worldwide. It had been shown that partially resistant rice varieties are a useful way to control rice blast disease. Landraces are a rich source of traits governing resistance/ tolerance to biotic and abiotic stresses. Therefore, 94 upland rice varieties were...
Upland rice (Oryza sativa L.) is precious genetic resource containing some valuable alleles not common in modern germplasm. In this study, genetic diversity and population structure of 98 upland rice varieties from northern part of Thailand were examined using nine simple sequence repeat markers. Number of alleles detected by the above primers was...
Ochratoxin A (OTA) is a polyketide mycotoxin that is produced by Aspergillus and Penicillium. Food contaminated with OTA poses health risks and is a food-safety challenge. Quantitative polymerase chain reaction (qPCR) has been used to identify non-toxigenic and toxigenic strains from coffee samples using polyketide synthase (pks), the OTA synthesis...
This study aims to find factors that affect the distribution of wild tea in the upper north of Thailand and build mathematical models that show the prediction of wild tea distribution. We obtained wild tea data from Tea Institute at Mae Fah Luang University. We used 3 climatic factors (rainfall, humidity and temperature) and 5 geographic factors (s...