Mathala Juliet | Indian Council of Agricultural Research (ICAR) (original) (raw)

Papers by Mathala Juliet

Research paper thumbnail of Potentials of kokum (Garcinia indica) -  An underutilized Indian fruit as a functional food

Indian Food Industry Mag, 2023

Kokum (Garcinia indica), an underutilized fruit native to India, has gained attention in recent ... more Kokum (Garcinia indica), an underutilized fruit native to India, has gained attention in recent years for its potential as a functional food. Kokum is recognized for its rich content of bioactive compounds, including hydroxyl
citric acid, garcinol, and anthocyanins, which possess potent antioxidant, anti-inflammatory, and anti-obesity properties. These bioactive compounds contribute to the fruit’s potential to mitigate chronic diseases, such as
cardiovascular disease, diabetes, and cancer, by exerting protective effects on cellular and molecular mechanisms. Furthermore, Kokum exhibits a remarkable nutritional profile, abundant in essential nutrients such as vitamins, minerals, and dietary fibres. These components contribute to its functional food attributes, including promoting cardio-, neural, hepato- and gastrointestinal health.

Research paper thumbnail of Training manual on Post Harvest Losses management

Research paper thumbnail of Energy analysis of different cucumber varieties in protected cultivation under humid tropic condition of West Coast, India

Progressive horticulture, 2021

Research paper thumbnail of Modified Single Span Greenhouse for Small Farmers in the West Coastal Ecosystem

Indian Society for Protected Cultivation, 2017

Research paper thumbnail of Post-harvest Management of Cowpea: A potential Cash Crop for the Western Coastal Ecosystem of Goa

Journal of AgriSearch, Jun 30, 2021

Research paper thumbnail of A Guide on Jack Fruit - Cultivation and Value Addition

Research paper thumbnail of Spectroscopic Quantification of Bacteria Using Artificial Neural Networks

Journal of Food Protection, Nov 1, 2004

Research paper thumbnail of Differentiation of Food Pathogens Using Ftir and Artificial Neural Networks

Transactions of the ASAE, 2005

Research paper thumbnail of Identification and Quantification of Foodborne Pathogens in Different Food Matrices Using Ftir Spectroscopy and Artificial Neural Networks

Transactions of the ASABE, 2006

Research paper thumbnail of Estimation of Crop Water Requirement of Pineapple (Ananas comosus (L.) Merr.) for Drip Fertigation

International journal of Bio-resource and Stress Management, Sep 30, 2022

The experiment was conducted at the research farm of ICAR- Central Coastal Agricultural Research ... more The experiment was conducted at the research farm of ICAR- Central Coastal Agricultural Research Institute, Goa, India during 2016–2019 to estimate the crop water requirement (CWR) of pineapple during different growth stages and compare the pineapple crop performance and economic viability at different irrigation systems. Crop water requirement of pineapple was calculated based on the consolidated weather data of 14 years and crop evapotranspiration (ETc) of pineapple at different growth stages using Penman-Montieth equation using CROPWAT 8.0 software. In the experiemtal location, maximum crop evapotranspiration was found in the month of May (81 mm month-1) and the minimum was in the month of July (25 mm month-1). Crop water requirement was the highest in April (0.67 litre day-1 plant-1). During the period of monsoon, irrigation was withdrawn due to sufficienct soil moisture situation. Performance of pineapple crop under different systems of irrigation viz., surface irrigation, drip irrigation and drip fertigation was studied and found that the highest plant height (76.90 cm), D leaf width (5.45 cm), number of leaves (43), D leaf weight (150.3 g) and fruit weight (2.35 kg) were in drip fertigation. An estimated yield of 96.80 t ha-1 was recorded under drip fertigation treatment followed by drip irrigation (90.99 t ha-1) and surface irrigation (76.45 t ha-1) treatments. The cost economics analysis of pineapple production under different treatments revealed that the highest gross returns (` 14.5 lakhs), net returns (` 7.9 lakhs) and B:C ratio (1.2) were in drip fertigation treatment. Adoption of drip fertigation system in pineapple crop under west coast agro-climatic conditions of Goa is helpful to enhance the crop growth and yield of pineapple and fetch good economic returns.

Research paper thumbnail of Impact Analysis of the Mechanization Program for Tribal Paddy Farmers of Goa

Journal of AgriSearch, Mar 5, 2019

Research paper thumbnail of Estimation of Crop Water Requirement of Pineapple (Ananas comosus (L.) Merr.) for Drip Fertigation

International Journal of Bio-resource and Stress Management

The experiment was conducted at the research farm of ICAR- Central Coastal Agricultural Research ... more The experiment was conducted at the research farm of ICAR- Central Coastal Agricultural Research Institute, Goa, India during 2016–2019 to estimate the crop water requirement (CWR) of pineapple during different growth stages and compare the pineapple crop performance and economic viability at different irrigation systems. Crop water requirement of pineapple was calculated based on the consolidated weather data of 14 years and crop evapotranspiration (ETc) of pineapple at different growth stages using Penman-Montieth equation using CROPWAT 8.0 software. In the experiemtal location, maximum crop evapotranspiration was found in the month of May (81 mm month-1) and the minimum was in the month of July (25 mm month-1). Crop water requirement was the highest in April (0.67 litre day-1 plant-1). During the period of monsoon, irrigation was withdrawn due to sufficienct soil moisture situation. Performance of pineapple crop under different systems of irrigation viz., surface irrigation, drip...

Research paper thumbnail of Training Manual on Post Harvest Losses Management

Research paper thumbnail of Rootstocks for the Management of Bacterial Wilt in Eggplant (Solanum melongena L.) and Tomato (Solanum lycopersicum L.) in the Coastal Regions of India

Advances in Agriculture, 2022

Cultivation of solanaceous vegetables such as eggplant and tomato is severely affected by bacteri... more Cultivation of solanaceous vegetables such as eggplant and tomato is severely affected by bacterial wilt in the coastal regions of India. The causal agent Ralstonia pseudosolanacearum is soilborne bacterium, highly diverse, and able to survive in soil for many years without a host. Five bacterial wilt resistant eggplant (Solanum melongena) rootstock lines were evaluated by challenge inoculation and were found to show different levels of wilt incidence. Grafts of eggplant made on two rootstocks (S0004 and Surya) recorded reduced incidence of bacterial wilt (10 to 40%) during greenhouse evaluation while in nongrafted seedlings, the wilt incidence was 80 to 100%. Field evaluation of eggplant grafts made on Solanum torvum (Turkey berry), S0004, and Surya reduced the incidence of bacterial wilt compared to nongrafted seedlings. The lowest wilt incidence (0 and 15–40%) was observed in the field evaluations where S. torvum was used as rootstock, while the nongrafted control recorded 93–100...

Research paper thumbnail of Rootstocks for the Management of Bacterial Wilt in Eggplant (Solanum melongena L.) and Tomato (Solanum lycopersicum L.) in the Coastal Regions of India

Advances in Agriculture, 2022

Cultivation of solanaceous vegetables such as eggplant and tomato is severely affected by bacteri... more Cultivation of solanaceous vegetables such as eggplant and tomato is severely affected by bacterial wilt in the coastal regions of India. e causal agent Ralstonia pseudosolanacearum is soilborne bacterium, highly diverse, and able to survive in soil for many years without a host. Five bacterial wilt resistant eggplant (Solanum melongena) rootstock lines were evaluated by challenge inoculation and were found to show different levels of wilt incidence. Grafts of eggplant made on two rootstocks (S0004 and Surya) recorded reduced incidence of bacterial wilt (10 to 40%) during greenhouse evaluation while in nongrafted seedlings, the wilt incidence was 80 to 100%. Field evaluation of eggplant grafts made on Solanum torvum (Turkey berry), S0004, and Surya reduced the incidence of bacterial wilt compared to nongrafted seedlings. e lowest wilt incidence (0 and 15-40%) was observed in the field evaluations where S. torvum was used as rootstock, while the nongrafted control recorded 93-100% wilt. Tomato seedlings grafted on S. torvum, Surya, and S0004 recorded very low bacterial wilt incidence (0 to 15%) under greenhouse evaluation while the nongrafted seedlings recorded 80 to 100% wilt. Reduced bacterial wilt incidence (23 to 40%) was observed in grafts of polyhouse-grown tomato hybrid (GS-600) made on S. torvum while the nongrafted seedlings were severely affected (80 to 100%) in evaluation trials conducted for two years. From this study, it is evident that grafting of susceptible eggplant and tomato on resistant rootstocks, viz., S. torvum and Surya, could be a promising strategy in bacterial wilt management.

Research paper thumbnail of Energy analysis of different cucumber varieties in protected cultivation under humid tropic condition of West Coast, India

Progressive Horticulture, 2021

Research paper thumbnail of Microclimatic studies in a double-span greenhouse under wind driven and fan ventilated conditions in west coast of India

Research paper thumbnail of Spectroscopic Quantification of Bacteria Using Artificial Neural Networks

Journal of Food Protection, 2004

Fourier transform–infrared spectroscopy, in conjunction with artificial neural networks, has been... more Fourier transform–infrared spectroscopy, in conjunction with artificial neural networks, has been used for identification and classification of selected foodborne pathogens. Five bacterial species (Enterococcus faecium, Salmonella Enteritidis, Bacillus cereus, Yersinia enterocolitica, Shigella boydii) and five Escherichia coli strains (O103, O55, O121, O30, O26) suspended in phosphate-buffered saline were enumerated to provide seven different concentrations ranging from 109 to 103 CFU/ml. The trained artificial neural networks were then validated with an independent subset of samples and compared with the traditional plate count method. It was found that the concentration-based classification of the species was 100% correct and the strain-based classification was 90 to 100% accurate.

Research paper thumbnail of Differentiation of Food Pathogens Using Ftir and Artificial Neural Networks

Transactions of the ASAE, 2005

FTIR absorbance spectra in conjunction with artificial neural networks (ANNs) were used to differ... more FTIR absorbance spectra in conjunction with artificial neural networks (ANNs) were used to differentiate selected microorganisms at the generic and serogroup levels. The ANN consisted of three layers with 595 input nodes, 50 nodes at the hidden layer, and 5 output nodes (one for each microorganism or strain). Ten replications of each experiment were conducted, and 70% of the data was used for training and 30% for validation of the network. Results indicated that differentiation could be achieved at an accuracy of 80% to 100% at the generic level and 90% to 100% at the serogroup level at 103 CFU/mL concentration.

Research paper thumbnail of Customer Preference for Bakery Products in South Goa

Research paper thumbnail of Potentials of kokum (Garcinia indica) -  An underutilized Indian fruit as a functional food

Indian Food Industry Mag, 2023

Kokum (Garcinia indica), an underutilized fruit native to India, has gained attention in recent ... more Kokum (Garcinia indica), an underutilized fruit native to India, has gained attention in recent years for its potential as a functional food. Kokum is recognized for its rich content of bioactive compounds, including hydroxyl
citric acid, garcinol, and anthocyanins, which possess potent antioxidant, anti-inflammatory, and anti-obesity properties. These bioactive compounds contribute to the fruit’s potential to mitigate chronic diseases, such as
cardiovascular disease, diabetes, and cancer, by exerting protective effects on cellular and molecular mechanisms. Furthermore, Kokum exhibits a remarkable nutritional profile, abundant in essential nutrients such as vitamins, minerals, and dietary fibres. These components contribute to its functional food attributes, including promoting cardio-, neural, hepato- and gastrointestinal health.

Research paper thumbnail of Training manual on Post Harvest Losses management

Research paper thumbnail of Energy analysis of different cucumber varieties in protected cultivation under humid tropic condition of West Coast, India

Progressive horticulture, 2021

Research paper thumbnail of Modified Single Span Greenhouse for Small Farmers in the West Coastal Ecosystem

Indian Society for Protected Cultivation, 2017

Research paper thumbnail of Post-harvest Management of Cowpea: A potential Cash Crop for the Western Coastal Ecosystem of Goa

Journal of AgriSearch, Jun 30, 2021

Research paper thumbnail of A Guide on Jack Fruit - Cultivation and Value Addition

Research paper thumbnail of Spectroscopic Quantification of Bacteria Using Artificial Neural Networks

Journal of Food Protection, Nov 1, 2004

Research paper thumbnail of Differentiation of Food Pathogens Using Ftir and Artificial Neural Networks

Transactions of the ASAE, 2005

Research paper thumbnail of Identification and Quantification of Foodborne Pathogens in Different Food Matrices Using Ftir Spectroscopy and Artificial Neural Networks

Transactions of the ASABE, 2006

Research paper thumbnail of Estimation of Crop Water Requirement of Pineapple (Ananas comosus (L.) Merr.) for Drip Fertigation

International journal of Bio-resource and Stress Management, Sep 30, 2022

The experiment was conducted at the research farm of ICAR- Central Coastal Agricultural Research ... more The experiment was conducted at the research farm of ICAR- Central Coastal Agricultural Research Institute, Goa, India during 2016–2019 to estimate the crop water requirement (CWR) of pineapple during different growth stages and compare the pineapple crop performance and economic viability at different irrigation systems. Crop water requirement of pineapple was calculated based on the consolidated weather data of 14 years and crop evapotranspiration (ETc) of pineapple at different growth stages using Penman-Montieth equation using CROPWAT 8.0 software. In the experiemtal location, maximum crop evapotranspiration was found in the month of May (81 mm month-1) and the minimum was in the month of July (25 mm month-1). Crop water requirement was the highest in April (0.67 litre day-1 plant-1). During the period of monsoon, irrigation was withdrawn due to sufficienct soil moisture situation. Performance of pineapple crop under different systems of irrigation viz., surface irrigation, drip irrigation and drip fertigation was studied and found that the highest plant height (76.90 cm), D leaf width (5.45 cm), number of leaves (43), D leaf weight (150.3 g) and fruit weight (2.35 kg) were in drip fertigation. An estimated yield of 96.80 t ha-1 was recorded under drip fertigation treatment followed by drip irrigation (90.99 t ha-1) and surface irrigation (76.45 t ha-1) treatments. The cost economics analysis of pineapple production under different treatments revealed that the highest gross returns (` 14.5 lakhs), net returns (` 7.9 lakhs) and B:C ratio (1.2) were in drip fertigation treatment. Adoption of drip fertigation system in pineapple crop under west coast agro-climatic conditions of Goa is helpful to enhance the crop growth and yield of pineapple and fetch good economic returns.

Research paper thumbnail of Impact Analysis of the Mechanization Program for Tribal Paddy Farmers of Goa

Journal of AgriSearch, Mar 5, 2019

Research paper thumbnail of Estimation of Crop Water Requirement of Pineapple (Ananas comosus (L.) Merr.) for Drip Fertigation

International Journal of Bio-resource and Stress Management

The experiment was conducted at the research farm of ICAR- Central Coastal Agricultural Research ... more The experiment was conducted at the research farm of ICAR- Central Coastal Agricultural Research Institute, Goa, India during 2016–2019 to estimate the crop water requirement (CWR) of pineapple during different growth stages and compare the pineapple crop performance and economic viability at different irrigation systems. Crop water requirement of pineapple was calculated based on the consolidated weather data of 14 years and crop evapotranspiration (ETc) of pineapple at different growth stages using Penman-Montieth equation using CROPWAT 8.0 software. In the experiemtal location, maximum crop evapotranspiration was found in the month of May (81 mm month-1) and the minimum was in the month of July (25 mm month-1). Crop water requirement was the highest in April (0.67 litre day-1 plant-1). During the period of monsoon, irrigation was withdrawn due to sufficienct soil moisture situation. Performance of pineapple crop under different systems of irrigation viz., surface irrigation, drip...

Research paper thumbnail of Training Manual on Post Harvest Losses Management

Research paper thumbnail of Rootstocks for the Management of Bacterial Wilt in Eggplant (Solanum melongena L.) and Tomato (Solanum lycopersicum L.) in the Coastal Regions of India

Advances in Agriculture, 2022

Cultivation of solanaceous vegetables such as eggplant and tomato is severely affected by bacteri... more Cultivation of solanaceous vegetables such as eggplant and tomato is severely affected by bacterial wilt in the coastal regions of India. The causal agent Ralstonia pseudosolanacearum is soilborne bacterium, highly diverse, and able to survive in soil for many years without a host. Five bacterial wilt resistant eggplant (Solanum melongena) rootstock lines were evaluated by challenge inoculation and were found to show different levels of wilt incidence. Grafts of eggplant made on two rootstocks (S0004 and Surya) recorded reduced incidence of bacterial wilt (10 to 40%) during greenhouse evaluation while in nongrafted seedlings, the wilt incidence was 80 to 100%. Field evaluation of eggplant grafts made on Solanum torvum (Turkey berry), S0004, and Surya reduced the incidence of bacterial wilt compared to nongrafted seedlings. The lowest wilt incidence (0 and 15–40%) was observed in the field evaluations where S. torvum was used as rootstock, while the nongrafted control recorded 93–100...

Research paper thumbnail of Rootstocks for the Management of Bacterial Wilt in Eggplant (Solanum melongena L.) and Tomato (Solanum lycopersicum L.) in the Coastal Regions of India

Advances in Agriculture, 2022

Cultivation of solanaceous vegetables such as eggplant and tomato is severely affected by bacteri... more Cultivation of solanaceous vegetables such as eggplant and tomato is severely affected by bacterial wilt in the coastal regions of India. e causal agent Ralstonia pseudosolanacearum is soilborne bacterium, highly diverse, and able to survive in soil for many years without a host. Five bacterial wilt resistant eggplant (Solanum melongena) rootstock lines were evaluated by challenge inoculation and were found to show different levels of wilt incidence. Grafts of eggplant made on two rootstocks (S0004 and Surya) recorded reduced incidence of bacterial wilt (10 to 40%) during greenhouse evaluation while in nongrafted seedlings, the wilt incidence was 80 to 100%. Field evaluation of eggplant grafts made on Solanum torvum (Turkey berry), S0004, and Surya reduced the incidence of bacterial wilt compared to nongrafted seedlings. e lowest wilt incidence (0 and 15-40%) was observed in the field evaluations where S. torvum was used as rootstock, while the nongrafted control recorded 93-100% wilt. Tomato seedlings grafted on S. torvum, Surya, and S0004 recorded very low bacterial wilt incidence (0 to 15%) under greenhouse evaluation while the nongrafted seedlings recorded 80 to 100% wilt. Reduced bacterial wilt incidence (23 to 40%) was observed in grafts of polyhouse-grown tomato hybrid (GS-600) made on S. torvum while the nongrafted seedlings were severely affected (80 to 100%) in evaluation trials conducted for two years. From this study, it is evident that grafting of susceptible eggplant and tomato on resistant rootstocks, viz., S. torvum and Surya, could be a promising strategy in bacterial wilt management.

Research paper thumbnail of Energy analysis of different cucumber varieties in protected cultivation under humid tropic condition of West Coast, India

Progressive Horticulture, 2021

Research paper thumbnail of Microclimatic studies in a double-span greenhouse under wind driven and fan ventilated conditions in west coast of India

Research paper thumbnail of Spectroscopic Quantification of Bacteria Using Artificial Neural Networks

Journal of Food Protection, 2004

Fourier transform–infrared spectroscopy, in conjunction with artificial neural networks, has been... more Fourier transform–infrared spectroscopy, in conjunction with artificial neural networks, has been used for identification and classification of selected foodborne pathogens. Five bacterial species (Enterococcus faecium, Salmonella Enteritidis, Bacillus cereus, Yersinia enterocolitica, Shigella boydii) and five Escherichia coli strains (O103, O55, O121, O30, O26) suspended in phosphate-buffered saline were enumerated to provide seven different concentrations ranging from 109 to 103 CFU/ml. The trained artificial neural networks were then validated with an independent subset of samples and compared with the traditional plate count method. It was found that the concentration-based classification of the species was 100% correct and the strain-based classification was 90 to 100% accurate.

Research paper thumbnail of Differentiation of Food Pathogens Using Ftir and Artificial Neural Networks

Transactions of the ASAE, 2005

FTIR absorbance spectra in conjunction with artificial neural networks (ANNs) were used to differ... more FTIR absorbance spectra in conjunction with artificial neural networks (ANNs) were used to differentiate selected microorganisms at the generic and serogroup levels. The ANN consisted of three layers with 595 input nodes, 50 nodes at the hidden layer, and 5 output nodes (one for each microorganism or strain). Ten replications of each experiment were conducted, and 70% of the data was used for training and 30% for validation of the network. Results indicated that differentiation could be achieved at an accuracy of 80% to 100% at the generic level and 90% to 100% at the serogroup level at 103 CFU/mL concentration.

Research paper thumbnail of Customer Preference for Bakery Products in South Goa