Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Sahila, Beegum"'
Autor:
Alakananda Mitra, Sahila Beegum, David Fleisher, Vangimalla R. Reddy, Wenguang Sun, Chittaranjan Ray, Dennis Timlin, Arindam Malakar
Publikováno v:
IEEE Access, Vol 12, Pp 101273-101288 (2024)
The United States cotton industry is devoted to sustainable production strategies that reduce water, land, and energy consumption while enhancing soil health and cotton yield. Climate-smart agricultural solutions are being developed to increase yield
Externí odkaz:
https://doaj.org/article/22c9fdecd5f54e64b6ac93971820c76f
Hyperspectral Reflectance-Based High Throughput Phenotyping to Assess Water-Use Efficiency in Cotton
Autor:
Sahila Beegum, Muhammad Adeel Hassan, Purushothaman Ramamoorthy, Raju Bheemanahalli, Krishna N. Reddy, Vangimalla Reddy, Kambham Raja Reddy
Publikováno v:
Agriculture, Vol 14, Iss 7, p 1054 (2024)
Cotton is a pivotal global commodity underscored by its economic value and widespread use. In the face of climate change, breeding resilient cultivars for variable environmental conditions becomes increasingly essential. However, the process of pheno
Externí odkaz:
https://doaj.org/article/c170f56f99df43d0ad074a312cafdfbc
Autor:
Sun, Wenguang, Fleisher, David, Timlin, Dennis, Ray, Chittaranjan, Wang, Zhuangji, Sahila, Beegum, Reddy, Vangimalla
Publikováno v:
In Agricultural and Forest Meteorology 15 December 2023 343
Improving the cotton simulation model, GOSSYM, for soil, photosynthesis, and transpiration processes
Autor:
Sahila Beegum, Dennis Timlin, Kambham Raja Reddy, Vangimalla Reddy, Wenguang Sun, Zhuangji Wang, David Fleisher, Chittaranjan Ray
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract GOSSYM, a mechanistic, process-level cotton crop simulation model, has a two-dimensional (2D) gridded soil model called Rhizos that simulates the below-ground processes daily. Water movement is based on gradients of water content and not hyd
Externí odkaz:
https://doaj.org/article/fb4177a3d9e44d1cba6a38d31ebf95e1
Autor:
Dennis Timlin, David Fleisher, Maura Tokay, Kirsten Paff, Wenguang Sun, Sahila Beegum, Sanai Li, Zhuangji Wang, Vangimalla Reddy
Publikováno v:
Smart Agricultural Technology, Vol 5, Iss , Pp 100281- (2023)
Crop models are valuable tools for examining the interactions of cultivar characteristics, environment, and management practices, and how they affect crop growth and development. The difficulty in finding all the data needed to set up a simulation ca
Externí odkaz:
https://doaj.org/article/a451c76076f14a2f88eb7977ca889f73
Autor:
Sahila Beegum, Van Truong, Raju Bheemanahalli, David Brand, Vangimalla Reddy, Kambham Raja Reddy
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Cotton crop is known to be poorly adapted to waterlogging, especially during the early growth stages. Developing functional relationships between crop growth and development parameters and the duration of waterlogging is essential to develop or impro
Externí odkaz:
https://doaj.org/article/ff31c6326323473690e8ec0ccd141bfb
Publikováno v:
Plants, Vol 12, Iss 21, p 3699 (2023)
Corn seedling emergence is a critical factor affecting crop yields. Accurately predicting emergence is crucial for precise crop growth and development simulation in process-based crop models. While various experimental studies have investigated the r
Externí odkaz:
https://doaj.org/article/cca0a60958c24e1bb643c093fb67576c
Autor:
K.P. Sudheer, Jobin Thomas, P.J. Jainet, Sinan Nizar, Sahila Beegum, Dawn Emil Sebastian, null Jesna, D.S. Pai
Publikováno v:
Modeling and Mitigation Measures for Managing Extreme Hydrometeorological Events Under a Warming Climate ISBN: 9780443186400
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f5f5169fc28420736e6415f52c54ab4
https://doi.org/10.1016/b978-0-443-18640-0.00015-8
https://doi.org/10.1016/b978-0-443-18640-0.00015-8
