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5篇 您的检索式:作者名="SEEHALAK"
    题名 作者 年代 出处 被引量
1Genetic diversity of the Vigna germplasm from Thailand and neighboring regions re- vealed by AFLP analysis 显示文摘Seehalak W Tomooka N Waranyuwat A 2006Genet Resour Crop Evol2006,53,:1
2Variety identification and comparative analysis of genetic diversity in yardlong bean ( Vigna unguiculata spp. sesquipedalis ) using morphological characters, SSR and ISSR analysis显示文摘P. Tantasawat J. Trongchuen T. Prajongjai W. Seehalak Y. Jittayasothorn 2009Scientia Horticulturae2009,,2:1
3Rapid and nondestructive detection of watercore and sugar content in Asian pear by near infrared spectroscopy for commercial trade显示文摘Watercore and sugar content are internal qualities which are impossible for exterior determi-nation.Therefore the aims of this study were to develop models for nondestructive detection of watercore and predicting sugar content in pear using Near Infrared Spectrosoopy(NIR)tech-nique.A total of 93 samples of Asian pear variety“SH-078”were used.For sugar content,spectrum of each fruit was measured in the short wavelength region(700-1100nm)in the reflection mode and the first derivative of spectra were then correlated with the sugar content in juice determined by digital refractometer.Prediction equation was performed by multiple linear regression.The result showed Standard Error of Prediction(SEP)=0.58°Bx,and Bias=0.11.The result from t-test showed that sugar content predicted by NIR was not signifcantly different from the value analyzed by refractometer at 95%confidence.For watercore disorder,NIR measurement was performed over the short wavelength range(700-850 nm)in the transmission mode.The first derivative spectra were correlated with intemnal qualities.Then principle com-ponent analysis(PCA)and partial least squares discriminant analysis(PLSDA)were used to perform discrimination models.The accuracy of the PCA model was greater than the PLSDA one.The scores from PC1 were separated into two boundaries,one predicted rejected pears with 100%classification accuracy,and the other was accepted pears with 92%accuracy.The high accuracy of sugar content determining and watercore detecting by NIR reveal the high efficiency of NIR technique for detecting other internal qualities of fruit in the future.Ronnarit Rittiron Sureeporn Narongwongwattana Unaruj Boonprakob Worapa Seehalak 2014Journal of Innovative Optical Health Sciences2014,7,6:1
4Isolation of resistance gene analogs from grapevine resistant and susceptible to downy mildew and anthracnose显示文摘SEEHALAK W MOONSOM S METHEENUKUL P 0,,:1
5Moisture content in raw rubber sheet analyzed by transflectance near infrared spectroscppy显示文摘Moisture content is an important trait for rubber sheet trading system.Therefore,a calibrationequation for predicting moisture content was created by near infrared(NIR)technique in order todevelop a more fair trading system in Thailand.Spectra were recorded in two systems.One wasmeasurement on each rubber sheet and the other was on a pile of sheets.Both were[measured by ahandheld NIR spectrometer in the short wavelength region(700-1100 nm)in the transflectancemode using Teflon as a diffuse refector.The spectra showed the peak at about 900 nm whichbelongs to isoprene,the major component of rubber sheet.Pretreatment with second derivativewas applied to remove baseline shift effect occurring due to thickness differences on each rubber sheet.From validation results,moisture contents predicted by single sheet system were moreaccurate than a pile of sheet system with standard error of prediction(SEP)=0.39 %and bias of-0.07%,and they were not significantly diferent from the actual values at 95%confidence.As aresult,determining moisture content in each rubber sheet by a handheld NIR,spectrometerprovided accurate values,easy and rapid operation.Ronnarit Rittiron Worapa Seehalak 2014Journal of Innovative Optical Health Sciences2014,7,4:0
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