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  1. Article ; Online: Performance of herbicides for managing weed flora in transplanted aman paddy (Oryza sativa L.)

    Debarati Seal / Kabita Mishra / Somnath Sardar / Ahmad Abbas Ahmedi / Bikas Chandra Patra

    Environment Conservation Journal, Vol 24, Iss

    2023  Volume 4

    Abstract: ... herbicides in controlling various kinds of weeds (grass, sedge and broad-leaf) in the transplanted aman paddy ... Farm, Bidhan Chandra Krishi Viswavidyalaya, Jaguli, Nadia, West Bengal, India (22056'N and 86048'E, 9 ...

    Abstract A field investigation was performed during the rainy seasons of 2018 and 2019 at the Instructional Farm, Bidhan Chandra Krishi Viswavidyalaya, Jaguli, Nadia, West Bengal, India (22056'N and 86048'E, 9.75m above mean sea level) with the aim of determining the comparative effectiveness of different herbicides in controlling various kinds of weeds (grass, sedge and broad-leaf) in the transplanted aman paddy. The experiment was laid out in Randomized Block Design having sixteen treatments with three replication, that includes application of either pre-emergence [butachlor, pretilachlor, pyrazosulfuron ethyl and ready mix (RM) of bensulfuron methyl + pretilachlor at 2 days after transplanting (DAT)] or post-emergence [bispyribac sodium and bispyribac sodium + penoxsulum at 20 DAT] herbicides followed by hand weeding at 40 DAT; application of both pre-emergence and post-emergence herbicides; hand weeding at 20 and 40 DAT and weedy check. Hand weeding at 20 and 40 DAT registered significantly lower weed density, weed dry matter and the highest weed control efficiency. Among the herbicidal treatments, ready-mix formulation of bensulfuron methyl 0.6% + pretilachlor 6% (Londax power 6.6%) performed better in controlling weeds of all categories and recorded higher paddy (3.96 t/ha) and straw yield (4.92 t/ha ) with the maximum weed index which were statistically at par with the hand weeded treatment. Hence, to fetch the effective suppression of weed, application of Londax power 6.6% @ 0.66 kg a.i./ha as pre-emergence (at 2 DAT) with hand weeding at 40 DAT can easily replace additional one hand weeding at 20 DAT.
    Keywords Aman paddy ; Hand weeding ; Herbicide ; Weeds ; Yield ; Environmental sciences ; GE1-350
    Subject code 630
    Language English
    Publishing date 2023-08-01T00:00:00Z
    Publisher Action for Sustainable Efficacious Development and Awareness
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Yield Performance of Two HYV Transplant Aman Rice under Different Nutrient Management Practices

    Rajib Sarker / Newton Chandra Paul / Md. Romij Uddin / Swapan Kumar Paul

    Turkish Journal of Agriculture: Food Science and Technology, Vol 9, Iss 12, Pp 2166-

    2021  Volume 2172

    Abstract: ... of transplant Aman rice. The experiment comprised two Aman rice varieties viz. Binadhan-15 and Binadhan-16, and ... that transplant Aman rice cv. Binadhan-15 fertilized with 50% less than RDF + poultry manure @ 5 t ha-1 appears ...

    Abstract The experiment was conducted at the Agronomy Field Laboratory, Bangladesh Agricultural University, Mymensingh, Bangladesh to investigate the influence of plant nutrient management on the yield performance of transplant Aman rice. The experiment comprised two Aman rice varieties viz. Binadhan-15 and Binadhan-16, and ten nutrient management viz. Recommended dose of inorganic fertilizer (RDF) Urea-TSP-MoP-Gypsum-ZnSO4 @ 150-110-70-60-5 kg ha-1, Cowdung @ 10 t ha-1, Poultry manure @ 5 t ha-1, Vermicompost @ 3 t ha-1 , 25% less than RDF + cowdung @ 5 t ha-1, 50% less than RDF + cowdung @ 10 t ha-1 , 25% less than RDF + poultry manure @ 2.5 t ha-1, 50% less than RDF + poultry manure @ 5 t ha-1, 25% less than RDF + vermicompost @ 1.5 t ha-1, 50% less than RDF + vermicompost @ 3 t ha-1. The experiment was laid out in a randomized complete block design with three replications. Binadhan-15 produced taller plants (97.86 cm), effective tillers hill-1 (6.28), grains panicle-1 (101.73), higher grain (3.58 t ha-1) and straw (4.99 t ha-1) yields compared to Binadhan-16. In case of nutrient management, 50% less than RDF + poultry manure @ 5 t ha-1 produced taller plants (101.1 cm), effective tillers hill-1 (7.07), grains panicle-1 (105.1) and grain yield (4.08 t ha-1). The highest grain yield (4.25 t ha-1) was recorded in Binadhan-15 fertilized with 50% less than RDF + poultry manure @ 5 t ha-1 and the lowest grain yield (2.28 t ha-1) was obtained in Binadhan-16 fertilized with vermicompost @ 3 t ha-1. So, it can be concluded that transplant Aman rice cv. Binadhan-15 fertilized with 50% less than RDF + poultry manure @ 5 t ha-1 appears as the promising practice to obtain the highest grain yield.
    Keywords aman rice ; fertilizer ; hyv ; manure ; yield ; Agriculture ; S ; Agriculture (General) ; S1-972
    Subject code 669
    Language English
    Publishing date 2021-12-01T00:00:00Z
    Publisher Turkish Science and Technology Publishing (TURSTEP)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article: Interactive Effects of Tillage Systems and Nitrogen Fertilizer Rates on the Performance of Mustard-Boro-aman Rice Cropping Systems under Conservation Agriculture Practices

    Salahin, Nazmus / Alam, Md. Khairul / Shil, Nirmal Chandra / Mondol, Abu Taher Mohammad Anwarul Islam / Alam, Md. Jahangir / Kobeasy, Mohamed I. / Gaber, Ahmed / Ahmed, Sharif

    Agronomy. 2022 July 13, v. 12, no. 7

    2022  

    Abstract: ... yet been studied systematically in the mustard-boro rice-aman rice cropping pattern. During 2016/17, 2017 ... should apply slightly higher N for the mustard-boro-aman rice systems for the first couple of years ...

    Abstract In intensive crop production systems, sustainable agricultural development strives to find the balance between productivity and environmental impact. To reduce the N fertilizer-associated environmental risks of intensive cropping, sound agronomic and environmentally acceptable management practices are urgently needed. To attain high yields, improve soil health, and ensure economic return and N usage efficiency in conservation-based intensive agriculture, N management must be optimized, which has not yet been studied systematically in the mustard-boro rice-aman rice cropping pattern. During 2016/17, 2017/18, and 2018/19 cropping seasons in Bangladesh, cropping system experiments were conducted to investigate the interactive effects of tillage practices and nitrogen fertilizer rates on soil characteristics, crop productivity, and profitability under conservation agriculture (CA) systems. The trial featured two tillage systems: (i) conventional tillage (CT) and (ii) strip-tillage (ST). It also used three doses of N fertilizer: N₁: 75% of the recommended N fertilizer dose (RND); N₂: 100% of the RND; and N₃: 125% of the RND. Each crop’s experiment was set up in a split-plot design with three replications, with the main plot assigned tillage practices and the sub-plot assigned nitrogen fertilizer rates. For rice, neither the tillage systems nor the interactions between the tillage systems and N levels affected any of the growth parameters, yield, and yield components, but the N levels did. Across the tillage systems, the rice grain and straw yield were similar for the N levels of 100% RND and 125% RND, which were significantly higher than the N level of 75% RND. In mustard, the highest seed yield was recorded from the tillage system ST, with an N level of 125% RND, which was at par with the tillage system ST with 100% RND and CT with 125% RND. The highest system rice equivalent yield (SREY, 14.9 to 15.8 t ha⁻¹) was recorded from the tillage system ST, with an N level of 125% RND, which was at par with the same tillage system with an N level of 100% RND. The soil penetration and bulk density (BD) were higher for the CT than the ST, but soil organic matter (OM), total nitrogen (TN), phosphorus (P), potassium (K), and boron (B) content were higher for the tillage system ST than the CT. Across N levels, the tillage system CT had a 2–4% higher production cost than the ST. Total production cost increased as N levels increased across all tillage systems. The tillage system ST with an N level of 125% RND had the highest system gross return and net profit, which was at par with the same tillage system with 100% RND. This study suggested that farmers should apply slightly higher N for the mustard-boro-aman rice systems for the first couple of years when commencing CA; however, after a few years of consistent CA practice, the N rate may be reduced.
    Keywords agricultural conservation practice ; agricultural development ; agronomy ; boron ; bulk density ; conventional tillage ; costs and returns ; environmental impact ; experimental design ; fertilizer rates ; intensive cropping ; nitrogen fertilizers ; phosphorus ; potassium ; profitability ; rice ; seed yield ; soil organic matter ; soil quality ; straw ; strip tillage ; total nitrogen ; Bangladesh
    Language English
    Dates of publication 2022-0713
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    ZDB-ID 2607043-1
    ISSN 2073-4395
    ISSN 2073-4395
    DOI 10.3390/agronomy12071671
    Database NAL-Catalogue (AGRICOLA)

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  4. Article ; Online: Interactive Effects of Tillage Systems and Nitrogen Fertilizer Rates on the Performance of Mustard- Boro - aman Rice Cropping Systems under Conservation Agriculture Practices

    Nazmus Salahin / Md. Khairul Alam / Nirmal Chandra Shil / Abu Taher Mohammad Anwarul Islam Mondol / Md. Jahangir Alam / Mohamed I. Kobeasy / Ahmed Gaber / Sharif Ahmed

    Agronomy, Vol 12, Iss 7, p

    2022  Volume 1671

    Abstract: ... yet been studied systematically in the mustard- boro rice- aman rice cropping pattern. During 2016/17, 2017 ...

    Abstract In intensive crop production systems, sustainable agricultural development strives to find the balance between productivity and environmental impact. To reduce the N fertilizer-associated environmental risks of intensive cropping, sound agronomic and environmentally acceptable management practices are urgently needed. To attain high yields, improve soil health, and ensure economic return and N usage efficiency in conservation-based intensive agriculture, N management must be optimized, which has not yet been studied systematically in the mustard- boro rice- aman rice cropping pattern. During 2016/17, 2017/18, and 2018/19 cropping seasons in Bangladesh, cropping system experiments were conducted to investigate the interactive effects of tillage practices and nitrogen fertilizer rates on soil characteristics, crop productivity, and profitability under conservation agriculture (CA) systems. The trial featured two tillage systems: (i) conventional tillage (CT) and (ii) strip-tillage (ST). It also used three doses of N fertilizer: N 1 : 75% of the recommended N fertilizer dose (RND); N 2 : 100% of the RND; and N 3 : 125% of the RND. Each crop’s experiment was set up in a split-plot design with three replications, with the main plot assigned tillage practices and the sub-plot assigned nitrogen fertilizer rates. For rice, neither the tillage systems nor the interactions between the tillage systems and N levels affected any of the growth parameters, yield, and yield components, but the N levels did. Across the tillage systems, the rice grain and straw yield were similar for the N levels of 100% RND and 125% RND, which were significantly higher than the N level of 75% RND. In mustard, the highest seed yield was recorded from the tillage system ST, with an N level of 125% RND, which was at par with the tillage system ST with 100% RND and CT with 125% RND. The highest system rice equivalent yield (SREY, 14.9 to 15.8 t ha −1 ) was recorded from the tillage system ST, with an N level of 125% RND, which was at par with the ...
    Keywords conventional tillage ; strip-tillage ; residue retention ; nitrogen management ; soil fertility ; system rice equivalent yield ; Agriculture ; S
    Subject code 630
    Language English
    Publishing date 2022-07-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article: Effect of magnesium on crop yields within maize-green manure-T. aman rice cropping pattern on acid soil

    Nook, Shamsun / Akhter, Sohela / Islam, Md. Monirul / Shil, Nirmal Chandra / Abu Kawochar, Md.

    Archives of agronomy and soil science

    2015  Volume 61, Issue 10/12, Page(s) 1381

    Language English
    Document type Article
    ZDB-ID 1132910-5
    ISSN 0365-0340
    Database Current Contents Nutrition, Environment, Agriculture

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  6. Book: Cheminformatics and Bioinformatics at the Interface with Systems Biology

    Kaushik, Aman Chandra / Mehmood, Aamir / Wei, Dongqing / Nawab, Sadia / Sahi, Shakti / Kumar, Ajay

    Bridging Chemistry and Medicine

    2023  

    Author's details Dongqing Wei is a professor of Bioinformatics at Shanghai Jiaotong University and editor-in-chief of "Interdisciplinary Sciences- Computational Life Sciences". Over the past three decades he has made many grand breaking contributions to the development of molecular simulation techniques and their interdisciplinary applications to systems of ever-increasing complexity. He has published more than 350 papers, 9 monographs with 6000 SCI citations and a H factor of 50. Aman Chandra Kaushik is a core computational biologist with a proclivity for biological databases and nature inspired algorithms. He holds Bachelors in Life Science (DDU University, India); Masters in Bioinformatics (CSJM University, India); PhD in Bioinformatics (Indo-Israel collaborative Project) and Post-doctorate in computational biology from Ben Gurion University, Israel. Currently, he is a Research assistant at Shanghai Jiao Tong University, China. He was a research fellow in Indian Council of Medical Research (ICMR)
    Language English
    Size 264 p.
    Publisher RSC Publishing
    Document type Book
    Note PDA Manuell_25
    Format 157 x 236 x 20
    ISBN 9781839161629 ; 1839161620
    Database PDA

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  7. Book ; Online ; E-Book: Bioinformatics techniques for drug discovery

    Kaushik, Aman Chandra / Kumar, Ajay / Bharadwaj, Shiv / Chaudhary, Ravi / Sahi, Shakti

    applications for complex diseases

    (SpringerBriefs in computer science)

    2018  

    Author's details Aman Chandra Kaushik, Ajay Kumar, Shiv Bharadwaj, Ravi Chaudhary, Shakti Sahi
    Series title SpringerBriefs in computer science
    Language English
    Size 1 Online-Ressource (xi, 57 Seiten), Illustrationen, Diagramme
    Publisher Springer
    Publishing place Cham
    Publishing country Switzerland
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT019740610
    ISBN 978-3-319-75732-2 ; 9783319757315 ; 3-319-75732-6 ; 3319757318
    DOI 10.1007/978-3-319-75732-2
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  8. Article ; Online: Temporising pneumatics for the initial management of rhegmatogenous retinal detachment.

    Davidson, Max / Chandra, Aman

    Eye (London, England)

    2022  Volume 36, Issue 7, Page(s) 1504

    MeSH term(s) Humans ; Retinal Detachment/surgery ; Retinal Perforations/surgery ; Vitrectomy
    Language English
    Publishing date 2022-01-13
    Publishing country England
    Document type Journal Article
    ZDB-ID 91001-6
    ISSN 1476-5454 ; 0950-222X
    ISSN (online) 1476-5454
    ISSN 0950-222X
    DOI 10.1038/s41433-021-01927-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Machine learning-driven exploration of drug therapies for triple-negative breast cancer treatment

    Aman Chandra Kaushik / Zhongming Zhao

    Frontiers in Molecular Biosciences, Vol

    2023  Volume 10

    Abstract: Breast cancer is the second leading cause of cancer death in women among all cancer types. It is highly heterogeneous in nature, which means that the tumors have different morphologies and there is heterogeneity even among people who have the same type ... ...

    Abstract Breast cancer is the second leading cause of cancer death in women among all cancer types. It is highly heterogeneous in nature, which means that the tumors have different morphologies and there is heterogeneity even among people who have the same type of tumor. Several staging and classifying systems have been developed due to the variability of different types of breast cancer. Due to high heterogeneity, personalized treatment has become a new strategy. Out of all breast cancer subtypes, triple-negative breast cancer (TNBC) comprises ∼10%–15%. TNBC refers to the subtype of breast cancer where cells do not express estrogen receptors, progesterone receptors, or human epidermal growth factor receptors (ERs, PRs, and HERs). Tumors in TNBC have a diverse set of genetic markers and prognostic indicators. We scanned the Cancer Cell Line Encyclopedia (CCLE) and Genomics of Drug Sensitivity in Cancer (GDSC) databases for potential drugs using human breast cancer cell lines and drug sensitivity data. Three different machine-learning approaches were used to evaluate the prediction of six effective drugs against the TNBC cell lines. The top biomarkers were then shortlisted on the basis of their involvement in breast cancer and further subjected to testing for radion resistance using data from the Cleveland database. It was observed that Panobinostat, PLX4720, Lapatinib, Nilotinib, Selumetinib, and Tanespimycin were six effective drugs against the TNBC cell lines. We could identify potential derivates that may be used against approved drugs. Only one biomarker (SETD7) was sensitive to all six drugs on the shortlist, while two others (SRARP and YIPF5) were sensitive to both radiation and drugs. Furthermore, we did not find any radioresistance markers for the TNBC. The proposed biomarkers and drug sensitivity analysis will provide potential candidates for future clinical investigation.
    Keywords drug sensitivity ; pharmacogenomics ; SETD7 ; SRARP ; YIPF5 ; Biology (General) ; QH301-705.5
    Subject code 616
    Language English
    Publishing date 2023-08-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article: Machine learning-driven exploration of drug therapies for triple-negative breast cancer treatment.

    Kaushik, Aman Chandra / Zhao, Zhongming

    Frontiers in molecular biosciences

    2023  Volume 10, Page(s) 1215204

    Abstract: Breast cancer is the second leading cause of cancer death in women among all cancer types. It is highly heterogeneous in nature, which means that the tumors have different morphologies and there is heterogeneity even among people who have the same type ... ...

    Abstract Breast cancer is the second leading cause of cancer death in women among all cancer types. It is highly heterogeneous in nature, which means that the tumors have different morphologies and there is heterogeneity even among people who have the same type of tumor. Several staging and classifying systems have been developed due to the variability of different types of breast cancer. Due to high heterogeneity, personalized treatment has become a new strategy. Out of all breast cancer subtypes, triple-negative breast cancer (TNBC) comprises ∼10%-15%. TNBC refers to the subtype of breast cancer where cells do not express estrogen receptors, progesterone receptors, or human epidermal growth factor receptors (ERs, PRs, and HERs). Tumors in TNBC have a diverse set of genetic markers and prognostic indicators. We scanned the Cancer Cell Line Encyclopedia (CCLE) and Genomics of Drug Sensitivity in Cancer (GDSC) databases for potential drugs using human breast cancer cell lines and drug sensitivity data. Three different machine-learning approaches were used to evaluate the prediction of six effective drugs against the TNBC cell lines. The top biomarkers were then shortlisted on the basis of their involvement in breast cancer and further subjected to testing for radion resistance using data from the Cleveland database. It was observed that Panobinostat, PLX4720, Lapatinib, Nilotinib, Selumetinib, and Tanespimycin were six effective drugs against the TNBC cell lines. We could identify potential derivates that may be used against approved drugs. Only one biomarker (
    Language English
    Publishing date 2023-08-04
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2814330-9
    ISSN 2296-889X
    ISSN 2296-889X
    DOI 10.3389/fmolb.2023.1215204
    Database MEDical Literature Analysis and Retrieval System OnLINE

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