Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Dorothy Menefee"'
Publikováno v:
Agrosystems, Geosciences & Environment, Vol 6, Iss 4, Pp n/a-n/a (2023)
Abstract Cotton (Gossypium hirsutum L.) is an important crop in drought‐prone central Texas. Foliar potassium (K) application and skip‐row planting have the potential to improve productivity of rainfed cotton in this region. The objective of this
Externí odkaz:
https://doaj.org/article/3d3f30e39dee4f7eaafdae43698b643f
Autor:
Dorothy Menefee, Trey O. Lee, K. Colton Flynn, Jiquan Chen, Michael Abraha, John Baker, Andy Suyker
Publikováno v:
Frontiers in Remote Sensing, Vol 4 (2023)
Introduction: Machine learning methods combined with satellite imagery have the potential to improve estimates of carbon uptake of terrestrial ecosystems, including croplands. Studying carbon uptake patterns across the U.S. using research networks, l
Externí odkaz:
https://doaj.org/article/911cf63eb2b24e2dae4988970da12809
Publikováno v:
Frontiers in Remote Sensing, Vol 3 (2022)
Quantifying carbon uptake or gross primary production (GPP) from agroecosystems is important for understanding the spatial and temporal dynamics of carbon fixation by crops. The availability of high-resolution remote sensing data can significantly im
Externí odkaz:
https://doaj.org/article/8e7c486047a449dcbe99a7cb13a4997e
Autor:
Telmo Jorge Carneiro Amado, Enrique Oswin Hahn Villalba, Rafael Pivotto Bortolotto, Antônio Luis Santi, Enrique Asterio Benítez León, Dorothy Menefee, Junior Kunz
Publikováno v:
Revista Brasileira de Ciência do Solo, Vol 37, Iss 6, Pp 1641-1650 (2013)
In order to select soil management practices that increase the nitrogen-use efficiency (NUE) in agro-ecosystems, the different indices of agronomic fertilizer efficiency must be evaluated under varied weather conditions. This study assessed the NUE i
Externí odkaz:
https://doaj.org/article/0bbc03725fa74422b1cb233d25b7abf7
Publikováno v:
Crop & Pasture Science. 72:969-984
Context Investigating agronomic responses of dryland maize (Zea mays L.) systems under global change could provide important insights in designing climate-resilient cropping systems. Aims and methods In this study, we integrated Agricultural Producti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1bef08722b803592ca08ce6af88c9c66
https://doi.org/10.1071/cp21279
https://doi.org/10.1071/cp21279
Autor:
Ronnie W. Schnell, Dorothy Menefee, Jason B. West, Song Cui, Muthukumar V. Bagavathiannan, Nithya Rajan
Publikováno v:
Agronomy Journal. 113:1317-1332
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2d42b3951755f0dadbf24d69d7cfc3f
https://doi.org/10.1002/agj2.20524
https://doi.org/10.1002/agj2.20524
Simulating productivity of dryland cotton using APSIM, climate scenario analysis, and remote sensing
Publikováno v:
Agricultural and Forest Meteorology. 325:109148
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e29295e526d6a440d13d335489aac297
https://doi.org/10.1016/j.agrformet.2022.109148
https://doi.org/10.1016/j.agrformet.2022.109148
Predicting carbon and water vapor fluxes using machine learning and novel feature ranking algorithms
Autor:
Song Cui, Dorothy Menefee, Forbes Walker, Nithya Rajan, Xia Cui, Thomas Goff, Qiang Wu, Shyam Nair, Nate Phillips
Publikováno v:
The Science of the total environment. 775
Gap-filling eddy covariance flux data using quantitative approaches has increased over the past decade. Numerous methods have been proposed previously, including look-up table approaches, parametric methods, process-based models, and machine learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da8f5085a35bfc6927d45fadce1619cd
https://pubmed.ncbi.nlm.nih.gov/33618314
https://pubmed.ncbi.nlm.nih.gov/33618314
Autor:
Ronnie W. Schnell, Dorothy Menefee, Jason B. West, Nithya Rajan, Muthukumar V. Bagavathiannan, Song Cui
Publikováno v:
Agricultural and Forest Meteorology. 294:108130
Agricultural systems experience numerous management-associated events during the growing season that can significantly influence seasonal and annual carbon balances. Measurements of carbon fluxes from agricultural fields using micrometeorological tec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d43b1ce0fa8c5071969c7566f0686f1
https://doi.org/10.1016/j.agrformet.2020.108130
https://doi.org/10.1016/j.agrformet.2020.108130
Autor:
Enrique Oswin Hahn Villalba, Rafael Pivotto Bortolotto, Enrique Benítez León, Telmo Jorge Carneiro Amado, Dorothy Menefee, Junior Kunz, Antônio Luis Santi
Publikováno v:
Revista Brasileira de Ciência do Solo, Volume: 37, Issue: 6, Pages: 1641-1650, Published: DEC 2013
Revista Brasileira de Ciência do Solo, Vol 37, Iss 6, Pp 1641-1650 (2013)
Revista Brasileira de Ciência do Solo v.37 n.6 2013
Revista Brasileira de Ciência do Solo
Sociedade Brasileira de Ciência do Solo (SBCS)
instacron:SBCS
Revista Brasileira de Ciência do Solo, Vol 37, Iss 6, Pp 1641-1650 (2013)
Revista Brasileira de Ciência do Solo v.37 n.6 2013
Revista Brasileira de Ciência do Solo
Sociedade Brasileira de Ciência do Solo (SBCS)
instacron:SBCS
In order to select soil management practices that increase the nitrogen-use efficiency (NUE) in agro-ecosystems, the different indices of agronomic fertilizer efficiency must be evaluated under varied weather conditions. This study assessed the NUE i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50ed2ac91c398e7edb15c7a942d1f9f8
https://doi.org/10.1590/s0100-06832013000600020
https://doi.org/10.1590/s0100-06832013000600020