KRISHI Publications and Data Repository
Not a member yet
68730 research outputs found
Sort by
Monitoring Paddy Residue Burning in North India using Satellite Remote Sensing during 2023
No full textNot AvailableThis bulletin provides information on real-time monitoring of paddy residue burning events in the six states of Punjab, Haryana, UP, Delhi, Madhya Pradesh and Rajasthan using satellite remote sensing on 19 October, 2023. This also includes the comparison of burning events of 2023 with that in 2022,2021 and 2020.Bulletin also includes date-wise and cumulative burning events till date for different districts in the six states. The maps of residue burning to show precise location of each residue burning event detected are also uploaded on ICAR KRISHI Geoportal website (http://geoportal.icar.gov.in:8080/geoexplorer/composer/, a part of KRISHI Portal: https://krishi.icar.gov.in initiative)Not Availabl
Monitoring Paddy Residue Burning in North India using Satellite Remote Sensing during 2023
No full textNot AvailableThis bulletin provides information on real-time monitoring of paddy residue burning events in the six states of Punjab, Haryana, UP, Delhi, Madhya Pradesh and Rajasthan using satellite remote sensing on 29 October, 2023. This also includes the comparison of burning events of 2023 with that in 2022,2021 and 2020.Bulletin also includes date-wise and cumulative burning events till date for different districts in the six states. The maps of residue burning to show precise location of each residue burning event detected are also uploaded on ICAR KRISHI Geoportal website (http://geoportal.icar.gov.in:8080/geoexplorer/composer/, a part of KRISHI Portal: https://krishi.icar.gov.in initiative)Not Availabl
Monitoring Paddy Residue Burning in North India using Satellite Remote Sensing during 2023
No full textNot AvailableThis bulletin provides information on real-time monitoring of paddy residue burning events in the six states of Punjab, Haryana, UP, Delhi, Madhya Pradesh and Rajasthan using satellite remote sensing on 04 Novemebr, 2023. This also includes the comparison of burning events of 2023 with that in 2022,2021 and 2020.Bulletin also includes date-wise and cumulative burning events till date for different districts in the six states. The maps of residue burning to show precise location of each residue burning event detected are also uploaded on ICAR KRISHI Geoportal website (http://geoportal.icar.gov.in:8080/geoexplorer/composer/, a part of KRISHI Portal: https://krishi.icar.gov.in initiative)Not Availabl
Monitoring Paddy Residue Burning in North India using Satellite Remote Sensing during 2023
No full textNot AvailableThis bulletin provides information on real-time monitoring of paddy residue burning events in the six states of Punjab, Haryana, UP, Delhi, Madhya Pradesh and Rajasthan using satellite remote sensing on 05 Novemebr, 2023. This also includes the comparison of burning events of 2023 with that in 2022,2021 and 2020.Bulletin also includes date-wise and cumulative burning events till date for different districts in the six states. The maps of residue burning to show precise location of each residue burning event detected are also uploaded on ICAR KRISHI Geoportal website (http://geoportal.icar.gov.in:8080/geoexplorer/composer/, a part of KRISHI Portal: https://krishi.icar.gov.in initiative)Not Availabl
Not Available
No full textNot AvailableFood processing data analysis plays a crucial role in ensuring the quality, safety, and efficiency of food
production. With the advancement of technology and the increasing availability of data, statistical tools
have become indispensable for analyzing and interpreting food processing data. This review paper
provides an overview of the key statistical tools and techniques employed in food processing data
analysis. We discuss their applications, strengths, and limitations, highlighting their importance in
optimizing processes, improving product quality, and ensuring consumer satisfaction.Not Availabl
Monitoring Paddy Residue Burning in North India using Satellite Remote Sensing during 2023
No full textNot AvailableThis bulletin provides information on real-time monitoring of paddy residue burning events in the six states of Punjab, Haryana, UP, Delhi, Madhya Pradesh and Rajasthan using satellite remote sensing on 14 November, 2023. This also includes the comparison of burning events of 2023 with that in 2022,2021 and 2020.Bulletin also includes date-wise and cumulative burning events till date for different districts in the six states. The maps of residue burning to show precise location of each residue burning event detected are also uploaded on ICAR KRISHI Geoportal website (http://geoportal.icar.gov.in:8080/geoexplorer/composer/, a part of KRISHI Portal: https://krishi.icar.gov.in initiative)Not Availabl
Construction of Seawall - Useful or Harmful for Biodiversity Conservation
Get PDFNot AvailableA seawall is useful to protect coastal infrastructure and lives from the wave action of the ocean. There are various forms of seawall present and it is made up based on the requirement and nature of wave action of the ocean. The seawall is not only useful in modern days but they are harmful to the coastal biodiversity.
Coastal species have disappeared after seawall formation because many species sustained high wave action and periodic inundation of seawater. Moreover, the loss of beaches has also been reported in many studies.Not Availabl
Not Available
No full textNot AvailableBackground
Understanding the microbiome is crucial as it contributes to the metabolic health of the host and, upon dysbiosis, may influence disease development. With the recent surge in high-throughput sequencing technology, the availability of microbial genomic data has increased dramatically. Amplicon sequence-based analyses majorly profile microbial abundance and determine taxonomic markers. Furthermore, the availability of genome sequences for various microbial organisms has prompted the integration of genome-scale metabolic modelling that provides insights into the metabolic interactions influencing host health. However, the analysis from a single study may not be consistent, necessitating a meta-analysis.
Results
We conducted a meta-analysis and integrated with constraint-based metabolic modelling approach, focusing on the microbiome of pacific white shrimp Penaeus vannamei, an extensively cultured marine candidate species. Meta-analysis revealed that Acinetobacter and Alteromonas are significant indicators of "health" and "disease" specific taxonomic biomarkers, respectively. Further, we enumerated metabolic interactions among the taxonomic biomarkers by applying a constraint-based approach to the community metabolic models (4416 pairs). Under different nutrient environments, a constraint-based flux simulation identified five beneficial species: Acinetobacter spWCHA55, Acinetobacter tandoii SE63, Bifidobacterium pseudolongum 49 D6, Brevundimonas pondensis LVF1, and Lutibacter profundi LP1 mediating parasitic interactions majorly under sucrose environment in the pairwise community. The study also reports the healthy biomarkers that can co-exist and have functionally dependent relationships to maintain a healthy state in the host.
Conclusions
Toward this, we collected and re-analysed the amplicon sequence data of P. vannamei (encompassing 117 healthy and 142 disease datasets). By capturing the taxonomic biomarkers and modelling the metabolic interaction between them, our study provides a valuable resource, a first-of-its-kind analysis in aquaculture scenario toward a sustainable shrimp farming.ICARNetwork Project on Agricultural Bioinformatics and Computational Biolog
Not Available
No full textNot AvailableThe data envelopment analysis (DEA) approach was applied to differentiate the efficient pear orchardists
from inefficient ones in order to recognize wasteful energy use and greenhouse gas emissions in north–
western India. The energy inputs and output were audited by using data collected from 31 orchardists
through face–to–face interviews. An average total energy input (EI) of 33269MJ ha–1 was used to produce
44360 MJ ha–1 of total energy output (EO) having 0.478 kg MJ–1energy productivity (EP). The pear
cultivation was energy efficient with specific energy (ES) of 1.567 and net energy (EN) 11090.9 MJ ha–1.
The chemical fertilizers (~35 %) and irrigation water (23.2 %) had the highest contribution toward EI.
DEA explicated 12 decision making units (DMUs) as an efficient, whereas 19 as an inefficient. The
average technical efficiency (TE), pure technical efficiency (PTE), and scale efficiency (SE) of pear
orchards were 0.880, 0.977, and 0.897, respectively. The energy use efficiency (EE) and energy
productivity (EP) can be 30.75 %, and 25.07 % higher with the use of the optimum quantity of energy
inputs than the existing quantity. Direct (ED), indirect (EID), renewable (ER), and non–renewable energy
(ENR) also exhibited 12.91, 10.62, 12.35, and 12.21 % improvement with optimum use of energy inputs.
Inefficient orchardists can save 10.92 % of energy by following pear production practices adopted by
efficient orchardists. The output energy (EO) was about 21% higher in efficient orchardists than inefficient
ones. An average of 37.4 % less greenhouse gas (GHG) emissions was determined in the case of efficient
units as compared to inefficient onesNot Availabl