Mandeep Adhikari

Mr. Mandeep Adhikari

University of Hawaii at Manoa
orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 March 2022 in Annals of Public and Cooperative Economics
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Journal Article
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HNHuma Neupane
Huma Neupane
KPKrishna Paudel
Krishna Paudel
Mandeep AdhikariMandeep Adhikari
Mandeep Adhikari
QHQinying He
Qinying He

14 September 2020 in Scientific Reports
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Journal Article
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KSKeshav Sharma
Keshav Sharma
PNPrakash M. Niraula
Prakash M. Niraula
HTHallie A. Troell
Hallie A. Troell
Mandeep AdhikariMandeep Adhikari
Mandeep Adhikari
HAHamdan Ali Alshehri
Hamdan Ali Alshehri
VKVincent P. Klink
Vincent P. Klink
Vesicle and target membrane fusion involves tethering, docking and fusion. The GTPaseSECRETORY4(SEC4) positions the exocyst complex during vesicle membrane tethering, facilitating docking and fusion.Glycine max(soybean) Sec4 functions in the root during its defense against the parasitic nematodeHeterodera glycinesas it attempts to develop a multinucleate nurse cell (syncytium) serving to nourish the nematode over its 30-day life cycle. Results indicate that other tethering proteins are also important for defense. TheG. maxexocyst is encoded by 61 genes: 5 EXOC1 (Sec3), 2 EXOC2 (Sec5), 5 EXOC3 (Sec6), 2 EXOC4 (Sec8), 2 EXOC5 (Sec10) 6 EXOC6 (Sec15), 31 EXOC7 (Exo70) and 8 EXOC8 (Exo84) genes. At least one member of each gene family is expressed within the syncytium during the defense response. Syncytium-expressed exocyst genes function in defense while some are under transcriptional regulation by mitogen-activated protein kinases (MAPKs). The exocyst component EXOC7-H4-1 is not expressed within the syncytium but functions in defense and is under MAPK regulation. The tethering stage of vesicle transport has been demonstrated to play an important role in defense in theG. max-H. glycinespathosystem, with some of the spatially and temporally regulated exocyst components under transcriptional control by MAPKs.

20 January 2021 in Climate
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JGJanma Jaya Gairhe
Janma Jaya Gairhe
Mandeep AdhikariMandeep Adhikari
Mandeep Adhikari
Deepak GhimireDeepak Ghimire
Deepak Ghimire
Arun Khatri-ChhetriArun Khatri-Chhetri
Arun Khatri-Chhetri
Dinesh PandayDinesh Panday
Dinesh Panday
Besides a proper agronomic management followed by Nepalese farmers, wheat (Triticum aestivum L.) production has been severely affected by changing climate. There are many interventions, including climate-smart practices, to cope with this situation and possibly enhance crop and soil productivity. Field experiments were set up in a randomized complete block design with six treatments (TRT) with four replications in three locations (LOC) during wheat-growing seasons in Nepal from 2014 to 2016. Treatments included (i) Controlled Practice (CP), (ii) Improved Low (IL), (iii) Improved High (IH), (iv) Climate Smart Agriculture Low (CSAL), (v) Climate Smart Agriculture Medium (CSAM), and (vi) Climate Smart Agriculture High (CSAH), whereas those LOC were Banke, Rupandehi and Morang districts. There was a significant main effect of TRT and LOC on grain yield and a significant interactionn effect of TRT × LOC on biomass yield in 2014–2015. About 55.5% additional grain yield was produced from CSAM treatment compared to CP in 2014–2015. Among locations, grain yield was the highest in Banke (3772.35 kg ha−1) followed by Rupandehi (2504.47 kg ha−1) and Morang districts (2504.47 kg ha−1). In 2015–2016, there was a significant interaction effect of TRT × LOC on grain and biomass yields. The highest grain yield was produced from CSAH treatment in Banke district in 2015–2016. Overall, grain yield and other parameters showed a better response with either of the climate-smart interventions (mostly CSAH or CSAM) despite variability in geography, climate, and other environmental factors indicating the potential of climate-smart practices to improve wheat production in southern plains of Nepal.

16 May 2022 in Translational Animal Science
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Mandeep AdhikariMandeep Adhikari
Mandeep Adhikari
RLRyan J Longman
Ryan J Longman
TGThomas W Giambelluca
Thomas W Giambelluca
CLC N Lee
C N Lee
YHYanghua He
Yanghua He
Proper knowledge and understanding of climatic variability across different seasons are important in farm management. To learn more about the potential effects of climate change on dairying in Hawaii, we conducted a study on site-specific climate characterization using several variables including rainfall, wind speed (WS), solar radiation, and temperature, at two dairy farms located on Hawai`i Island, Hawai`i, in Ookala named “OK DAIRY” and in Upolu Point named “UP DAIRY.” Temperature–humidity index (THI) and WS variations in the hottest four months (June to September) were analyzed to determine when critical thresholds that affect animal health are exceeded. Rainfall data were used to estimate the capacity of forage production in 6-mo wet (November to April) and dry (May to October) seasons. Future projections of temperature and rainfall were assessed using mid- and end-century gridded data products for low (RCP 4.5) and high emissions (RCP 8.5) scenarios. Our results showed that the “OK DAIRY” site received higher rainfall than the “UP DAIRY” site, favoring grass growth and forage availability. In addition, the “UP DAIRY” site was more stressful for animals during the summer (THI 69 to 73) than the “OK DAIRY” site (THI 67 to 70) as the THI exceeded the critical threshold of 68, which is conducive for high-lactating cattle. On the “UP DAIRY” site, the THI did not drop below 68 during the summer nights, which created fewer opportunities for cattle to recover from heat stress. Future projections indicated that air temperature would increase 1.3 to 1.8 °C by mid-century and 1.6 to 3.2 °C by the end-century at both farms, and rainfall will increase at the “OK DAIRY” site and decrease at the “UP DAIRY” site by the end-century. The agriculture and livestock industries, particularly the dairy and beef subsectors in Hawai`i, are vulnerable to climate changes as higher temperatures and less rainfall will have adverse effects on cattle. The findings in this study demonstrated how both observed and projected changes in climate support the development of long-term strategies for breeding and holistic livestock management practices to adapt to changing climate conditions.