The Experts below are selected from a list of 309 Experts worldwide ranked by ideXlab platform

R S Sarlach - One of the best experts on this subject based on the ideXlab platform.

  • Relative performance of different Bt cotton cultivars expressing single and dual toxin for Pest Infestation, yield and fibre quality parameters
    Vegetos, 2014
    Co-Authors: Parminder S. Shera, R S Sohu, P S Sekhon, B. S. Gill, R S Sarlach
    Abstract:

    Present investigation assess the performance of 9 Bt transgenic cotton hybrids, viz. Four Bollgard I (Ankur 2226 Bt, JKCH 1945 Bt, NCEH 9 Bt and RCH 134 Bt), five Bollgard II (RCH 134 BG II, Tulasi 9 BG II, Ankur Jassi BG II, MLCH 315 BG II and KDCHH 441 BG II) along with one non-Bt hybrid (LHH 144) for insect Pests, diseases, yield and fibre quality parameters at Cotton Research Farm, Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana. Overall mean boll Infestation was comparatively low in Bt cotton hybrids ranging from 0.0 to 1.51 and 0.0 to 0.92 per cent on boll and loculi basis, respectively as against 12.37 and 6.70 per cent in non-Bt check LHH 144. Evaluation of Bt hybrids against cotton leaf curl disease was carried out under screen house conditions at Ludhiana and under field conditions at Regional Station, Abohar along with local non Bt variety F 1861 (resistant check) and RS 921 (susceptible check). Among all genotypes, only LHH 144 was found to be resistant to cotton leaf curl disease. All the hybrid entries showed resistance to bacterial blight due to low incidence, however found susceptible to fungal foliar disease. Therefore selection towards CLCuD and sucking Pest tolerance in transgenic hybrids is crucial to realize the full potential of transgenic plants for sustainable cotton production. Among all hybrids, RCH 134 Bt recorded the highest mean seed cotton yield (2342 kg/ha) as compared to other test Bt hybrids (851 to 2083 kg/ ha) and non-Bt hybrid, LHH 144 (1491 kg/ha). All Bt hybrids were superior to non-Bt LHH 144 with 8 to 57 per cent increase in yield except Ankur 2226 Bt, JKCH 1945 Bt, NCEH 9 R Bt, MLCH 315 BG II and KDCHH 441 BG II which were inferior suggesting that selection of superior genotypes with better yield characteristics is vital for developing transgenic cotton. © 2014, Society for Plant Research. All rights reserved.

  • relative performance of different bt cotton cultivars expressing single and dual toxin for Pest Infestation yield and fibre quality parameters
    Vegetos, 2014
    Co-Authors: Parminder S. Shera, R S Sohu, P S Sekhon, B. S. Gill, R S Sarlach
    Abstract:

    Present investigation assess the performance of 9 Bt transgenic cotton hybrids, viz. Four Bollgard I (Ankur 2226 Bt, JKCH 1945 Bt, NCEH 9 Bt and RCH 134 Bt), five Bollgard II (RCH 134 BG II, Tulasi 9 BG II, Ankur Jassi BG II, MLCH 315 BG II and KDCHH 441 BG II) along with one non-Bt hybrid (LHH 144) for insect Pests, diseases, yield and fibre quality parameters at Cotton Research Farm, Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana. Overall mean boll Infestation was comparatively low in Bt cotton hybrids ranging from 0.0 to 1.51 and 0.0 to 0.92 per cent on boll and loculi basis, respectively as against 12.37 and 6.70 per cent in non-Bt check LHH 144. Evaluation of Bt hybrids against cotton leaf curl disease was carried out under screen house conditions at Ludhiana and under field conditions at Regional Station, Abohar along with local non Bt variety F 1861 (resistant check) and RS 921 (susceptible check). Among all genotypes, only LHH 144 was found to be resistant to cotton leaf curl disease. All the hybrid entries showed resistance to bacterial blight due to low incidence, however found susceptible to fungal foliar disease. Therefore selection towards CLCuD and sucking Pest tolerance in transgenic hybrids is crucial to realize the full potential of transgenic plants for sustainable cotton production. Among all hybrids, RCH 134 Bt recorded the highest mean seed cotton yield (2342 kg/ha) as compared to other test Bt hybrids (851 to 2083 kg/ha) and non-Bt hybrid, LHH 144 (1491 kg/ha). All Bt hybrids were superior to non-Bt LHH 144 with 8 to 57 per cent increase in yield except Ankur 2226 Bt, JKCH 1945 Bt, NCEH 9 R Bt, MLCH 315 BG II and KDCHH 441 BG II which were inferior suggesting that selection of superior genotypes with better yield characteristics is vital for developing transgenic cotton.

K P Singh - One of the best experts on this subject based on the ideXlab platform.

  • a remote sensing assessment of Pest Infestation on sorghum
    Advances in Space Research, 2007
    Co-Authors: D Singh, K P Singh
    Abstract:

    Abstract The damage caused by the Pest to crop is well known. The major aspects of remote sensing are timely estimates of agriculture crop yield, prediction of Pest. Therefore, in this paper, an attempt has been made to investigate the utility and potential application of microwave remote sensing for detection of Pest Infestation within sorghum field. The studies were made on crop sorghum (Meethi Sudan) that is a forage variety and the Pest observed was a species of grasshopper. The beds of crop sorghum were specially prepared for Pests as well as microwave scattering measurements. In first phase of study, dependence of occurrence of Pests on sorghum plant parameters (i.e., crop covered moist soil (SM), plant height (PH), leaf area index (LAI), percentage biomass (BIO), total chlorophyll (TC)) have been observed and analyzed and it was noticed that Pests were more dependent on sorghum chlorophyll than other plant parameters, while climatic conditions were taken as constant. An empirical relationship has been developed between occurrence of Pests and TC with quite significant values of coefficient of determination ( r 2  = 0.82). These crop parameters are easily assessable through microwave remote sensing and therefore they can form the basis for prediction of Pest remotely. In the second phase of this study, several observations were carried out for various growth stages of sorghum using scatterometer for both like polarizations (i.e., HH- and VV-) and different incidence angles at X-band (9.5 GHz). Linear regression analysis was carried out to obtain the best suitable incidence angle and polarization to assess the sorghum TC. VV-pol gives better results than HH-pol and incidence angle should be more than 40° for both like polarizations for assessing the sorghum TC at X-band. A negative correlation has been obtained between TC and scattering coefficient with the r 2 values (0.69 and 0.75 for HH- and VV-pol, respectively). The TC assessed by the microwave measurements was helpful to estimate the occurrence of Pests on sorghum. Based on both phase of study an algorithm is proposed to estimate the number of Pest on sorghum by remote sensing method. There is a quite good agreement between observed occurrence of Pest and assessed occurrence of Pest.

Parminder S. Shera - One of the best experts on this subject based on the ideXlab platform.

  • Relative performance of different Bt cotton cultivars expressing single and dual toxin for Pest Infestation, yield and fibre quality parameters
    Vegetos, 2014
    Co-Authors: Parminder S. Shera, R S Sohu, P S Sekhon, B. S. Gill, R S Sarlach
    Abstract:

    Present investigation assess the performance of 9 Bt transgenic cotton hybrids, viz. Four Bollgard I (Ankur 2226 Bt, JKCH 1945 Bt, NCEH 9 Bt and RCH 134 Bt), five Bollgard II (RCH 134 BG II, Tulasi 9 BG II, Ankur Jassi BG II, MLCH 315 BG II and KDCHH 441 BG II) along with one non-Bt hybrid (LHH 144) for insect Pests, diseases, yield and fibre quality parameters at Cotton Research Farm, Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana. Overall mean boll Infestation was comparatively low in Bt cotton hybrids ranging from 0.0 to 1.51 and 0.0 to 0.92 per cent on boll and loculi basis, respectively as against 12.37 and 6.70 per cent in non-Bt check LHH 144. Evaluation of Bt hybrids against cotton leaf curl disease was carried out under screen house conditions at Ludhiana and under field conditions at Regional Station, Abohar along with local non Bt variety F 1861 (resistant check) and RS 921 (susceptible check). Among all genotypes, only LHH 144 was found to be resistant to cotton leaf curl disease. All the hybrid entries showed resistance to bacterial blight due to low incidence, however found susceptible to fungal foliar disease. Therefore selection towards CLCuD and sucking Pest tolerance in transgenic hybrids is crucial to realize the full potential of transgenic plants for sustainable cotton production. Among all hybrids, RCH 134 Bt recorded the highest mean seed cotton yield (2342 kg/ha) as compared to other test Bt hybrids (851 to 2083 kg/ ha) and non-Bt hybrid, LHH 144 (1491 kg/ha). All Bt hybrids were superior to non-Bt LHH 144 with 8 to 57 per cent increase in yield except Ankur 2226 Bt, JKCH 1945 Bt, NCEH 9 R Bt, MLCH 315 BG II and KDCHH 441 BG II which were inferior suggesting that selection of superior genotypes with better yield characteristics is vital for developing transgenic cotton. © 2014, Society for Plant Research. All rights reserved.

  • relative performance of different bt cotton cultivars expressing single and dual toxin for Pest Infestation yield and fibre quality parameters
    Vegetos, 2014
    Co-Authors: Parminder S. Shera, R S Sohu, P S Sekhon, B. S. Gill, R S Sarlach
    Abstract:

    Present investigation assess the performance of 9 Bt transgenic cotton hybrids, viz. Four Bollgard I (Ankur 2226 Bt, JKCH 1945 Bt, NCEH 9 Bt and RCH 134 Bt), five Bollgard II (RCH 134 BG II, Tulasi 9 BG II, Ankur Jassi BG II, MLCH 315 BG II and KDCHH 441 BG II) along with one non-Bt hybrid (LHH 144) for insect Pests, diseases, yield and fibre quality parameters at Cotton Research Farm, Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana. Overall mean boll Infestation was comparatively low in Bt cotton hybrids ranging from 0.0 to 1.51 and 0.0 to 0.92 per cent on boll and loculi basis, respectively as against 12.37 and 6.70 per cent in non-Bt check LHH 144. Evaluation of Bt hybrids against cotton leaf curl disease was carried out under screen house conditions at Ludhiana and under field conditions at Regional Station, Abohar along with local non Bt variety F 1861 (resistant check) and RS 921 (susceptible check). Among all genotypes, only LHH 144 was found to be resistant to cotton leaf curl disease. All the hybrid entries showed resistance to bacterial blight due to low incidence, however found susceptible to fungal foliar disease. Therefore selection towards CLCuD and sucking Pest tolerance in transgenic hybrids is crucial to realize the full potential of transgenic plants for sustainable cotton production. Among all hybrids, RCH 134 Bt recorded the highest mean seed cotton yield (2342 kg/ha) as compared to other test Bt hybrids (851 to 2083 kg/ha) and non-Bt hybrid, LHH 144 (1491 kg/ha). All Bt hybrids were superior to non-Bt LHH 144 with 8 to 57 per cent increase in yield except Ankur 2226 Bt, JKCH 1945 Bt, NCEH 9 R Bt, MLCH 315 BG II and KDCHH 441 BG II which were inferior suggesting that selection of superior genotypes with better yield characteristics is vital for developing transgenic cotton.

Christian Knoth - One of the best experts on this subject based on the ideXlab platform.

  • analysis of unmanned aerial system based cir images in forestry a new perspective to monitor Pest Infestation levels
    Forests, 2015
    Co-Authors: Jan Rudolf Karl Lehmann, Felix Nieberding, Torsten Prinz, Christian Knoth
    Abstract:

    The detection of Pest Infestation is an important aspect of forest management. In the case of the oak splendour beetle (Agrilus biguttatus) Infestation, the affected oaks (Quercus sp.) show high levels of defoliation and altered canopy reflection signature. These critical features can be identified in high-resolution colour infrared (CIR) images of the tree crown and branches level captured by Unmanned Aerial Systems (UAS). In this study, we used a small UAS equipped with a compact digital camera which has been calibrated and modified to record not only the visual but also the near infrared reflection (NIR) of possibly infested oaks. The flight campaigns were realized in August 2013, covering two study sites which are located in a rural area in western Germany. Both locations represent small-scale, privately managed commercial forests in which oaks are economically valuable species. Our workflow includes the CIR/NIR image acquisition, mosaicking, georeferencing and pixel-based image enhancement followed by object-based image classification techniques. A modified Normalized Difference Vegetation Index (NDVImod) derived classification was used to distinguish between five vegetation health classes, i.e., infested, healthy or dead branches, other vegetation and canopy gaps. We achieved an overall Kappa Index of Agreement (KIA) of 0.81 and 0.77 for each study site, respectively. This approach offers a low-cost alternative to private forest owners who pursue a sustainable management strategy.

  • Analysis of Unmanned Aerial System-Based CIR Images in Forestry—A New Perspective to Monitor Pest Infestation Levels
    Forests, 2015
    Co-Authors: Jan Lehmann, Felix Nieberding, Torsten Prinz, Christian Knoth
    Abstract:

    The detection of Pest Infestation is an important aspect of forest management. In the case of the oak splendour beetle (Agrilus biguttatus) Infestation, the affected oaks (Quercus sp.) show high levels of defoliation and altered canopy reflection signature. These critical features can be identified in high-resolution colour infrared (CIR) images of the tree crown and branches level captured by Unmanned Aerial Systems (UAS). In this study, we used a small UAS equipped with a compact digital camera which has been calibrated and modified to record not only the visual but also the near infrared reflection (NIR) of possibly infested oaks. The flight campaigns were realized in August 2013, covering two study sites which are located in a rural area in western Germany. Both locations represent small-scale, privately managed commercial forests in which oaks are economically valuable species. Our workflow includes the CIR/NIR image acquisition, mosaicking, georeferencing and pixel-based image enhancement followed by object-based image classification techniques. A modified Normalized Difference Vegetation Index (NDVImod) derived classification was used to distinguish between five vegetation health classes, i.e., infested, healthy or dead branches, other vegetation and canopy gaps. We achieved an overall Kappa Index of Agreement (KIA)   of 0.81 and 0.77 for each study site, respectively. This approach offers a low-cost alternative to private forest owners who pursue a sustainable management strategy

D Singh - One of the best experts on this subject based on the ideXlab platform.

  • a remote sensing assessment of Pest Infestation on sorghum
    Advances in Space Research, 2007
    Co-Authors: D Singh, K P Singh
    Abstract:

    Abstract The damage caused by the Pest to crop is well known. The major aspects of remote sensing are timely estimates of agriculture crop yield, prediction of Pest. Therefore, in this paper, an attempt has been made to investigate the utility and potential application of microwave remote sensing for detection of Pest Infestation within sorghum field. The studies were made on crop sorghum (Meethi Sudan) that is a forage variety and the Pest observed was a species of grasshopper. The beds of crop sorghum were specially prepared for Pests as well as microwave scattering measurements. In first phase of study, dependence of occurrence of Pests on sorghum plant parameters (i.e., crop covered moist soil (SM), plant height (PH), leaf area index (LAI), percentage biomass (BIO), total chlorophyll (TC)) have been observed and analyzed and it was noticed that Pests were more dependent on sorghum chlorophyll than other plant parameters, while climatic conditions were taken as constant. An empirical relationship has been developed between occurrence of Pests and TC with quite significant values of coefficient of determination ( r 2  = 0.82). These crop parameters are easily assessable through microwave remote sensing and therefore they can form the basis for prediction of Pest remotely. In the second phase of this study, several observations were carried out for various growth stages of sorghum using scatterometer for both like polarizations (i.e., HH- and VV-) and different incidence angles at X-band (9.5 GHz). Linear regression analysis was carried out to obtain the best suitable incidence angle and polarization to assess the sorghum TC. VV-pol gives better results than HH-pol and incidence angle should be more than 40° for both like polarizations for assessing the sorghum TC at X-band. A negative correlation has been obtained between TC and scattering coefficient with the r 2 values (0.69 and 0.75 for HH- and VV-pol, respectively). The TC assessed by the microwave measurements was helpful to estimate the occurrence of Pests on sorghum. Based on both phase of study an algorithm is proposed to estimate the number of Pest on sorghum by remote sensing method. There is a quite good agreement between observed occurrence of Pest and assessed occurrence of Pest.