The potential of spectral reflectance technique for the detection of Grapevine leafroll-associated virus-3 in two red-berried wine grape cultivars

[1]  M. R. Mickey,et al.  Estimation of Error Rates in Discriminant Analysis , 1968 .

[2]  B. S. Ausmus,et al.  Reflectance studies of healthy, maize dwarf mosaic virus-infected, and Helminthosporium maydis-infected corn leaves , 1971 .

[3]  Ned Glick,et al.  Additive estimators for probabilities of correct classification , 1978, Pattern Recognit..

[4]  S. Hora,et al.  Estimation of Error Rates in Several-Population Discriminant Analysis , 1982 .

[5]  C. Field,et al.  A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency , 1992 .

[6]  P. J. Pinter,et al.  Remote sensing for crop protection , 1993 .

[7]  Christopher B. Field,et al.  Reflectance indices associated with physiological changes in nitrogen- and water-limited sunflower leaves☆ , 1994 .

[8]  R. Bestwick,et al.  Serological Detection of Grapevine Associated Closteroviruses in Infected Grapevine Cultivars. , 1997, Plant disease.

[9]  J. Peñuelas,et al.  Estimation of plant water concentration by the reflectance Water Index WI (R900/R970) , 1997 .

[10]  D. Golino,et al.  A Comparison Between Serological and Biological Assays in Detecting Grapevine Leafroll Associated Viruses. , 1997, Plant disease.

[11]  V. P. Polischuk,et al.  Changes in reflectance spectrum characteristic of nicotiana debneyi plant under the influence of viral infection , 1997 .

[12]  J. Gamon,et al.  The photochemical reflectance index: an optical indicator of photosynthetic radiation use efficiency across species, functional types, and nutrient levels , 1997, Oecologia.

[13]  Josep Peñuelas,et al.  Visible and near-infrared reflectance techniques for diagnosing plant physiological status , 1998 .

[14]  Tsuguo Okamoto,et al.  Automatic diagnosis of plant disease - Spectral reflectance of healthy and diseased leaves , 1998 .

[15]  Moon S. Kim,et al.  Estimating Corn Leaf Chlorophyll Concentration from Leaf and Canopy Reflectance , 2000 .

[16]  A. Karasev Genetic Diversity and Evolution of Closteroviruses. , 2000, Annual review of phytopathology.

[17]  G. Martelli,et al.  Major graft-transmissible diseases of grapevines: nature, diagnosis, and sanitation , 2001 .

[18]  A. Gitelson,et al.  Novel algorithms for remote estimation of vegetation fraction , 2002 .

[19]  R. Hull,et al.  Matthews' plant virology , 2002 .

[20]  D. Moshou,et al.  The potential of optical canopy measurement for targeted control of field crop diseases. , 2003, Annual review of phytopathology.

[21]  N. Nedunchezhian,et al.  Effect of Grapevine Leafroll on the Photosynthesis of Field Grown Grapevine Plants (Vitis vinifera L. cv. Lagrein) , 2004 .

[22]  H. Ramon,et al.  Automatic detection of ‘yellow rust’ in wheat using reflectance measurements and neural networks , 2004 .

[23]  First Report of Grapevine leafroll associated virus-3 in American Vitis spp. Grapevines in Washington State. , 2006, Plant disease.

[24]  Johanna Link,et al.  Identification of powdery mildew (Erysiphe graminis sp. tritici) and take-all disease (Gaeumannomyces graminis sp. tritici) in wheat (Triticum aestivum L.) by means of leaf reflectance measurements , 2006, Central European Journal of Biology.

[25]  S. Robinson,et al.  Phylloxera-infested grapevines have reduced chlorophyll and increased photoprotective pigment content - can leaf pigment composition aid pest detection? , 2006, Functional plant biology : FPB.

[26]  Pol Coppin,et al.  Detection of biotic stress (Venturia inaequalis) in apple trees using hyperspectral data: Non-parametric statistical approaches and physiological implications , 2007 .

[27]  Paul H. Moore,et al.  Impact of sugarcane yellow leaf virus (ScYLV) on the carbohydrate status of sugarcane: Comparison of virus-free plants with symptomatic and asymptomatic virus-infected plants , 2007 .

[28]  Z. Niu,et al.  Identification of yellow rust in wheat using in-situ spectral reflectance measurements and airborne hyperspectral imaging , 2007, Precision Agriculture.