AFLP analysis was performed between a pair of thermo_sensitive genic male sterile (TGMS) rice allelic mutant lines (5460S and 5460F). The reaction conditions for rice AFLP assay were optimized. The relative efficienci...AFLP analysis was performed between a pair of thermo_sensitive genic male sterile (TGMS) rice allelic mutant lines (5460S and 5460F). The reaction conditions for rice AFLP assay were optimized. The relative efficiencies for polymorphism detection of RFLP, RAPD and AFLP were compared. The results indicated that the efficiency for polymorphism detection in rice was in the order of AFLP>RAPD>RFLP, and also indicated that AFLP was a powerful DNA molecular marker technique for polymorphism detection, especially in the case of extremely low polymorphism, such as isogenic lines and allelic mutant lines. Some of the AFLP products between the TGMS rice allelic mutant lines were cloned. Three of them were used as mixed probes to screen BAC library of rice line 5460S. 12 positive clones were screened out. In addition, the advantages and disadvantages of these three molecular marker systems were discussed.展开更多
PCA （principal component analysis）, CCA （canonical correlation analysis） and PLSR （partial least squares regression） are powerful water quality modeling methods that provide better results than other classical o...PCA （principal component analysis）, CCA （canonical correlation analysis） and PLSR （partial least squares regression） are powerful water quality modeling methods that provide better results than other classical ones such as multiple lineal regression. In this work they were used to model four water quality parameters at the Amadorio Reservoir （Alicante, Spain）, namely： water temperature, dissolved oxygen, pH and conductivity. The main purpose of this study was to predict the future quality of the water and, thus improve its management. Raw data correspond to daily values of mean wind speed, mean wind direction, maximum wind speed, mean, minimum and maximum air temperature, number of hours below 7 ~C, relative humidity, global solar radiation, total precipitation, evapotranspiration, exploitation volume, inflow, outflow, filtration, depth and Julian day. Two years were considered （2004-2005） to get the calibration （186 days, 4,401 registrations） and validation （185 days, 4,573 registrations） datasets. Models were developed using either all the variables or a reduced subset; furthermore, PLSR yielded the best results.展开更多
文摘AFLP analysis was performed between a pair of thermo_sensitive genic male sterile (TGMS) rice allelic mutant lines (5460S and 5460F). The reaction conditions for rice AFLP assay were optimized. The relative efficiencies for polymorphism detection of RFLP, RAPD and AFLP were compared. The results indicated that the efficiency for polymorphism detection in rice was in the order of AFLP>RAPD>RFLP, and also indicated that AFLP was a powerful DNA molecular marker technique for polymorphism detection, especially in the case of extremely low polymorphism, such as isogenic lines and allelic mutant lines. Some of the AFLP products between the TGMS rice allelic mutant lines were cloned. Three of them were used as mixed probes to screen BAC library of rice line 5460S. 12 positive clones were screened out. In addition, the advantages and disadvantages of these three molecular marker systems were discussed.
文摘PCA （principal component analysis）, CCA （canonical correlation analysis） and PLSR （partial least squares regression） are powerful water quality modeling methods that provide better results than other classical ones such as multiple lineal regression. In this work they were used to model four water quality parameters at the Amadorio Reservoir （Alicante, Spain）, namely： water temperature, dissolved oxygen, pH and conductivity. The main purpose of this study was to predict the future quality of the water and, thus improve its management. Raw data correspond to daily values of mean wind speed, mean wind direction, maximum wind speed, mean, minimum and maximum air temperature, number of hours below 7 ~C, relative humidity, global solar radiation, total precipitation, evapotranspiration, exploitation volume, inflow, outflow, filtration, depth and Julian day. Two years were considered （2004-2005） to get the calibration （186 days, 4,401 registrations） and validation （185 days, 4,573 registrations） datasets. Models were developed using either all the variables or a reduced subset; furthermore, PLSR yielded the best results.
