Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Priyanka Gangwar"'
Autor:
Muneendra K. Singh, Manish Roorkiwal, Abhishek Rathore, Khela Ram Soren, Motisagar S. Pithia, Mohammad Yasin, Surendra Barpete, Servejeet Singh, Rutwik Barmukh, Roma Rani Das, Priyanka Gangwar, Chana P. Chetariya, Priyanka Joshi, Sushil K. Chaturvedi, Rakesh M. Javia, Vallabhbhai V. Ramani, Aladdin Hamwieh, Shiv Kumar, Chellapilla Bharadwaj, Narendra P. Singh, Rajeev K. Varshney
Publikováno v:
Agronomy, Vol 12, Iss 9, p 2013 (2022)
The rich genetic diversity existing within exotic, indigenous, and diverse germplasm lays the foundation for the continuous improvement of crop cultivars. The composite collection has been suggested as a gateway to identifying superior germplasm for
Externí odkaz:
https://doaj.org/article/7352d2069e084678841e7639cac7fd3a
Autor:
Khela Ram Soren, Sandhya Tripathi, Shalini Pareek, Maloti Hembram, Priyanka Gangwar, Shrutika Abrol, Abhishek Bohra, Kuldeep Kumar, Aravind K. Konda, P. S. Shanmugavadivel, Md. Akram, Raj K. Mishra, Narendra Pratap Singh
Publikováno v:
Frontiers in Fungal Biology, Vol 2 (2021)
Externí odkaz:
https://doaj.org/article/c7ee868503a848908e56378cb4ee7b45
Autor:
Rutwik Barmukh, Khela Ram Soren, Praveen Madugula, Priyanka Gangwar, P S Shanmugavadivel, Chellapilla Bharadwaj, Aravind K Konda, Sushil K Chaturvedi, Aditi Bhandari, Kritika Rajain, Narendra Pratap Singh, Manish Roorkiwal, Rajeev K Varshney
Publikováno v:
PLoS ONE, Vol 16, Iss 5, p e0251669 (2021)
Unravelling the genetic architecture underlying yield components and agronomic traits is important for enhancing crop productivity. Here, a recombinant inbred line (RIL) population, developed from ICC 4958 and DCP 92-3 cross, was used for constructin
Externí odkaz:
https://doaj.org/article/43d129f086944c7c9a460d74c2d4598b
Autor:
Mir A. Iquebal, Khela R. Soren, Priyanka Gangwar, P. S. Shanmugavadivel, K. Aravind, Deepak Singla, Sarika Jaiswal, Rahul S. Jasrotia, Sushil K. Chaturvedi, Narendra P. Singh, Rajeev K. Varshney, Anil Rai, Dinesh Kumar
Publikováno v:
Frontiers in Plant Science, Vol 8 (2017)
Background: Chickpea (Cicer arietinum L.) contributes 75% of total pulse production. Being cheaper than animal protein, makes it important in dietary requirement of developing countries. Weed not only competes with chickpea resulting into drastic yie
Externí odkaz:
https://doaj.org/article/e39221b248a14273928bd765b7db987e
Publikováno v:
IEEE Systems Journal. 16:2811-2821
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcf1d6ee37ffc0d612434d0e07ac2669
https://doi.org/10.1109/jsyst.2021.3077594
https://doi.org/10.1109/jsyst.2021.3077594
Publikováno v:
Phytopharmaceuticals and Biotechnology of Herbal Plants ISBN: 9781003294023
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a320032e6c26637a32461412cba374c
https://doi.org/10.1201/b22917-1
https://doi.org/10.1201/b22917-1
Publikováno v:
IEEE Transactions on Industrial Informatics. 16:4378-4389
This article proposes a network reconfiguration methodology using repository-based constrained nondominated sorting genetic algorithm with preference order ranking for an unbalanced distribution system. The algorithm can accommodate the variable natu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82919714fbd1003824cee770aa27456a
https://doi.org/10.1109/tii.2019.2946423
https://doi.org/10.1109/tii.2019.2946423
Publikováno v:
IET Generation, Transmission & Distribution. 13:3896-3909
Distribution system reconfiguration is a complex combinatorial optimisation problem. Finding a globally optimal solution to this problem in a short span of time is a challenging task. Two different network reconfiguration methodologies, namely a look
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11c3349cfeb0673b5853f71a9de9976a
https://doi.org/10.1049/iet-gtd.2019.0028
https://doi.org/10.1049/iet-gtd.2019.0028
Publikováno v:
IET Renewable Power Generation. 13:2070-2083
In this study, multi-objective particle swarm optimisation (MOPSO) and preference order (PO) ranking-based multi-objective planning model is presented for placement and sizing of wind and solar-based distributed generators (DGs), and capacitors in th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df0f8c000b3243e47e7cce1c444eeb83
https://doi.org/10.1049/iet-rpg.2019.0135
https://doi.org/10.1049/iet-rpg.2019.0135
Autor:
Shrutika Abrol, Priyanka Gangwar, Khela Ram Soren, Maloti Hembram, Abhishek Bohra, Md. Akram, Aravind Kumar Konda, Kuldeep Kumar, Raj Kumar Mishra, Shalini Pareek, Sandhya Tripathi, P. S. Shanmugavadivel, Narendra Singh
Publikováno v:
Frontiers in Fungal Biology, Vol 2 (2021)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd2a6dd113ac101f9dcce835ed62d2ae
https://www.frontiersin.org/articles/10.3389/ffunb.2021.664953/full
https://www.frontiersin.org/articles/10.3389/ffunb.2021.664953/full