neha Joshi - Academia.edu (original) (raw)

Papers by neha Joshi

International Journal of Chemical Studies, 2019

A field experiment entitled “Response of rabi sorghum (Sorghum bicolor L.) on different levels of... more A field experiment entitled “Response of rabi sorghum (Sorghum bicolor L.) on different levels of irrigation, nitrogen and banana pseudostem sap and its residual effect on summer greengram (Vigna radiata L.) under South Gujarat condition” was carried out during rabi season of 2016-17 and 2017-18 at college farm of Soil and Water Management Research Farm, Navsari Agricultural University, Navsari. The soil was clayey in texture, rich in organic carbon, medium in available nitrogen, P2O5 and K2O with alkaline in reaction (pH 7.8). Total twelve treatment combinations, consisting of four irrigation schedule based on IW:CPE ratio (I1=0.4, I2=0.6 and I3=0.8) and three nitrogen levels (N1= 60 kg N ha, N2= 80 kg N ha and N3= 100 kg N ha) were tested in a split plot design with four replications. The results indicated that scheduling irrigation at an IW:CPE ratio of 0.8 recorded significantly higher values of almost all the growth characters, yield attributes as well as seed and stover yields...

International Journal of Chemical Studies, 2020

A field experiment was conducted at College Farm, Navsari Agricultural University, Navsari (Gujar... more A field experiment was conducted at College Farm, Navsari Agricultural University, Navsari (Gujarat) during the summer seasons of the years 2018 and 2019. The soil of the field was clayey in texture, slightly alkaline (pH 7.9), low in organic carbon (0.41%) and available nitrogen (199.86 kg/ha), medium in available phosphorus (39.43 kg/ha) and high in available potassium (302.88 kg/ha). Six treatments were imposed in summer green gram viz. absolute control (T1), 100% RDF (20:40:0) (T2), 100% RDF + biocompost @ 5 t/ha (T3), 100% RDF

Scientific reports, Jan 14, 2017

There is an urgent need to quantify anthropogenic influence on forest carbon stocks. Using satell... more There is an urgent need to quantify anthropogenic influence on forest carbon stocks. Using satellite-based radar imagery for such purposes has been challenged by the apparent loss of signal sensitivity to changes in forest aboveground volume (AGV) above a certain 'saturation' point. The causes of saturation are debated and often inadequately addressed, posing a major limitation to mapping AGV with the latest radar satellites. Using ground- and lidar-measurements across La Rioja province (Spain) and Denmark, we investigate how various properties of forest structure (average stem height, size and number density; proportion of canopy and understory cover) simultaneously influence radar backscatter. It is found that increases in backscatter due to changes in some properties (e.g. increasing stem sizes) are often compensated by equal magnitude decreases caused by other properties (e.g. decreasing stem numbers and increasing heights), contributing to the apparent saturation of the...

Remote Sensing, 2015

Mapping forest aboveground biomass (AGB) using satellite data is an important task, particularly ... more Mapping forest aboveground biomass (AGB) using satellite data is an important task, particularly for reporting of carbon stocks and changes under climate change legislation. It is known that AGB can be mapped using synthetic aperture radar (SAR), but relationships between AGB and radar backscatter may be confounded by variations in biophysical forest structure (density, height or cover fraction) and differences in the resolution of satellite and ground data. Here, we attempt to quantify the effect of these factors by relating L-band ALOS PALSAR HV backscatter and unique country-wide LiDAR-derived maps of vegetation penetrability, height and AGB over Denmark at different spatial scales (50 m to 500 m). Trends in the relations indicate that, first, AGB retrieval accuracy from SAR improves most in mapping at 100-m scale instead of 50 m, and improvements are negligible beyond 250 m. Relative errors (bias and root mean squared error) decrease particularly for high AGB values (>110 Mg ha −1) at coarse scales, and hence, coarse-scale mapping (≥150 m) may be most suited for areas with high AGB. Second, SAR backscatter and a LiDAR-derived measure of fractional forest cover were found to have a Remote Sens. 2015, 7 4443 strong linear relation (R 2 = 0.79 at 250-m scale). In areas of high fractional forest cover, there is a slight decline in backscatter as AGB increases, indicating signal attenuation. The two results demonstrate that accounting for spatial scale and variations in forest structure, such as cover fraction, will greatly benefit establishing adequate plot-sizes for SAR calibration and the accuracy of derived AGB maps.

Environmental Research Letters, 2015

Mapping dynamics of deforestation and forest degradation in tropical forests using radar satellit... more Mapping dynamics of deforestation and forest degradation in tropical forests using radar satellite data View the table of contents for this issue, or go to the journal homepage for more 2015 Environ. Res. Lett. 10 034014

Journal of Pharmacognosy and Phytochemistry, 2020

A field experiment was conducted at Main Agriculture Research Station, Dharwad, during kharif 201... more A field experiment was conducted at Main Agriculture Research Station, Dharwad, during kharif 2016 to evaluate influence of precision nutrient management on yield, yield components and dry matter partitioning in maize hybrids. The experiment consists of two maize hybrids (NK-6240 and S-6668) in main plot and eight sub plot treatments consisting of three precision nutrient techniques (PNM) site specific nutrient management (SSNM), soil test crop response (STCR) and nutrient expert (NE) to achieve target yield of 8 and 10 t ha-1, recommended dose of fertilizer (RDF) and absolute control. The maize hybrid S-6668 recorded higher dry matter accumulation in cob at 90 DAS and at harvest, total dry matter production at 90 DAS, yield components, grain and stover yield (8.18 and 10.11 t ha-1) than NK-6240. Among the sub plots, nutrient applied as per SSNM to achieve target yield of 10 t ha-1 showed higher dry matter partitioning at all the aforesaid stages, yield components, grain and stover ...

Precision nutrient management in maize , 2020

A field experiment was conducted at Main Agriculture Research Station, Dharwad, during kharif 201... more A field experiment was conducted at Main Agriculture Research Station, Dharwad, during kharif 2016 to evaluate influence of precision nutrient management on yield, yield components and dry matter partitioning in maize hybrids. The experiment consists of two maize hybrids (NK-6240 and S-6668) in main plot and eight sub plot treatments consisting of three precision nutrient techniques (PNM) site specific nutrient management (SSNM), soil test crop response (STCR) and nutrient expert (NE) to achieve target yield of 8 and 10 t ha-1 , recommended dose of fertilizer (RDF) and absolute control. The maize hybrid S-6668 recorded higher dry matter accumulation in cob at 90 DAS and at harvest, total dry matter production at 90 DAS, yield components, grain and stover yield (8.18 and 10.11 t ha-1) than NK-6240. Among the sub plots, nutrient applied as per SSNM to achieve target yield of 10 t ha-1 showed higher dry matter partitioning at all the aforesaid stages, yield components, grain and stover yield (8.18 and 10.11 t ha-1) than all other precision nutrient techniques, RDF and absolute control. Interactions shows that application of fertilizer based on SSNM to achieve target yield of 10 t ha-1 with maize hybrid S-6668 recorded higher dry matter accumulation in cob at 90 DAS and harvest (142.14 and 213.29 g) and total dry matter production at 90 DAS as well as yield and yield components except cob diameter and no. of kernels rows cob-1 were higher than all other treatment combinations.

International Journal of Chemical Studies, 2019

A field experiment entitled “Response of rabi sorghum (Sorghum bicolor L.) on different levels of... more A field experiment entitled “Response of rabi sorghum (Sorghum bicolor L.) on different levels of irrigation, nitrogen and banana pseudostem sap and its residual effect on summer greengram (Vigna radiata L.) under South Gujarat condition” was carried out during rabi season of 2016-17 and 2017-18 at college farm of Soil and Water Management Research Farm, Navsari Agricultural University, Navsari. The soil was clayey in texture, rich in organic carbon, medium in available nitrogen, P2O5 and K2O with alkaline in reaction (pH 7.8). Total twelve treatment combinations, consisting of four irrigation schedule based on IW:CPE ratio (I1=0.4, I2=0.6 and I3=0.8) and three nitrogen levels (N1= 60 kg N ha, N2= 80 kg N ha and N3= 100 kg N ha) were tested in a split plot design with four replications. The results indicated that scheduling irrigation at an IW:CPE ratio of 0.8 recorded significantly higher values of almost all the growth characters, yield attributes as well as seed and stover yields...

International Journal of Chemical Studies, 2020

A field experiment was conducted at College Farm, Navsari Agricultural University, Navsari (Gujar... more A field experiment was conducted at College Farm, Navsari Agricultural University, Navsari (Gujarat) during the summer seasons of the years 2018 and 2019. The soil of the field was clayey in texture, slightly alkaline (pH 7.9), low in organic carbon (0.41%) and available nitrogen (199.86 kg/ha), medium in available phosphorus (39.43 kg/ha) and high in available potassium (302.88 kg/ha). Six treatments were imposed in summer green gram viz. absolute control (T1), 100% RDF (20:40:0) (T2), 100% RDF + biocompost @ 5 t/ha (T3), 100% RDF

Scientific reports, Jan 14, 2017

There is an urgent need to quantify anthropogenic influence on forest carbon stocks. Using satell... more There is an urgent need to quantify anthropogenic influence on forest carbon stocks. Using satellite-based radar imagery for such purposes has been challenged by the apparent loss of signal sensitivity to changes in forest aboveground volume (AGV) above a certain 'saturation' point. The causes of saturation are debated and often inadequately addressed, posing a major limitation to mapping AGV with the latest radar satellites. Using ground- and lidar-measurements across La Rioja province (Spain) and Denmark, we investigate how various properties of forest structure (average stem height, size and number density; proportion of canopy and understory cover) simultaneously influence radar backscatter. It is found that increases in backscatter due to changes in some properties (e.g. increasing stem sizes) are often compensated by equal magnitude decreases caused by other properties (e.g. decreasing stem numbers and increasing heights), contributing to the apparent saturation of the...

Remote Sensing, 2015

Mapping forest aboveground biomass (AGB) using satellite data is an important task, particularly ... more Mapping forest aboveground biomass (AGB) using satellite data is an important task, particularly for reporting of carbon stocks and changes under climate change legislation. It is known that AGB can be mapped using synthetic aperture radar (SAR), but relationships between AGB and radar backscatter may be confounded by variations in biophysical forest structure (density, height or cover fraction) and differences in the resolution of satellite and ground data. Here, we attempt to quantify the effect of these factors by relating L-band ALOS PALSAR HV backscatter and unique country-wide LiDAR-derived maps of vegetation penetrability, height and AGB over Denmark at different spatial scales (50 m to 500 m). Trends in the relations indicate that, first, AGB retrieval accuracy from SAR improves most in mapping at 100-m scale instead of 50 m, and improvements are negligible beyond 250 m. Relative errors (bias and root mean squared error) decrease particularly for high AGB values (>110 Mg ha −1) at coarse scales, and hence, coarse-scale mapping (≥150 m) may be most suited for areas with high AGB. Second, SAR backscatter and a LiDAR-derived measure of fractional forest cover were found to have a Remote Sens. 2015, 7 4443 strong linear relation (R 2 = 0.79 at 250-m scale). In areas of high fractional forest cover, there is a slight decline in backscatter as AGB increases, indicating signal attenuation. The two results demonstrate that accounting for spatial scale and variations in forest structure, such as cover fraction, will greatly benefit establishing adequate plot-sizes for SAR calibration and the accuracy of derived AGB maps.

Environmental Research Letters, 2015

Mapping dynamics of deforestation and forest degradation in tropical forests using radar satellit... more Mapping dynamics of deforestation and forest degradation in tropical forests using radar satellite data View the table of contents for this issue, or go to the journal homepage for more 2015 Environ. Res. Lett. 10 034014

Journal of Pharmacognosy and Phytochemistry, 2020

A field experiment was conducted at Main Agriculture Research Station, Dharwad, during kharif 201... more A field experiment was conducted at Main Agriculture Research Station, Dharwad, during kharif 2016 to evaluate influence of precision nutrient management on yield, yield components and dry matter partitioning in maize hybrids. The experiment consists of two maize hybrids (NK-6240 and S-6668) in main plot and eight sub plot treatments consisting of three precision nutrient techniques (PNM) site specific nutrient management (SSNM), soil test crop response (STCR) and nutrient expert (NE) to achieve target yield of 8 and 10 t ha-1, recommended dose of fertilizer (RDF) and absolute control. The maize hybrid S-6668 recorded higher dry matter accumulation in cob at 90 DAS and at harvest, total dry matter production at 90 DAS, yield components, grain and stover yield (8.18 and 10.11 t ha-1) than NK-6240. Among the sub plots, nutrient applied as per SSNM to achieve target yield of 10 t ha-1 showed higher dry matter partitioning at all the aforesaid stages, yield components, grain and stover ...

Precision nutrient management in maize , 2020

A field experiment was conducted at Main Agriculture Research Station, Dharwad, during kharif 201... more A field experiment was conducted at Main Agriculture Research Station, Dharwad, during kharif 2016 to evaluate influence of precision nutrient management on yield, yield components and dry matter partitioning in maize hybrids. The experiment consists of two maize hybrids (NK-6240 and S-6668) in main plot and eight sub plot treatments consisting of three precision nutrient techniques (PNM) site specific nutrient management (SSNM), soil test crop response (STCR) and nutrient expert (NE) to achieve target yield of 8 and 10 t ha-1 , recommended dose of fertilizer (RDF) and absolute control. The maize hybrid S-6668 recorded higher dry matter accumulation in cob at 90 DAS and at harvest, total dry matter production at 90 DAS, yield components, grain and stover yield (8.18 and 10.11 t ha-1) than NK-6240. Among the sub plots, nutrient applied as per SSNM to achieve target yield of 10 t ha-1 showed higher dry matter partitioning at all the aforesaid stages, yield components, grain and stover yield (8.18 and 10.11 t ha-1) than all other precision nutrient techniques, RDF and absolute control. Interactions shows that application of fertilizer based on SSNM to achieve target yield of 10 t ha-1 with maize hybrid S-6668 recorded higher dry matter accumulation in cob at 90 DAS and harvest (142.14 and 213.29 g) and total dry matter production at 90 DAS as well as yield and yield components except cob diameter and no. of kernels rows cob-1 were higher than all other treatment combinations.