Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Gregory S. Buol"'
Publikováno v:
Transactions of the ASABE. 61:1627-1638
Although prior research has shown that irrigation can increase cotton fiber yields in coastal plain soils of the Carolinas, only 2.7% of North Carolina’s and 7.8% of South Carolina’s planted hectares are irrigated, compared to 39% nationally. Lit
Autor:
Patrick M. Phipps, Barbara B. Shew, David L. Jordan, Rick L. Brandenburg, Bridget R. Lassiter, Gregory S. Buol, Gail G. Wilkerson, Jay W. Chapin, Ames Herbert
Publikováno v:
Crop, Forage & Turfgrass Management. 2:1-7
Autor:
Mary S. McCready, Gregory S. Buol, David R. Chalmers, Gail G. Wilkerson, Charles H. Peacock, Kurt Steinke, Zhengyu Yang
Publikováno v:
Agronomy Journal. 107:515-523
Autor:
Ames Herbert, P. M. Phipps, Bridget R. Lassiter, David L. Jordan, Rick L. Brandenburg, Barbara B. Shew, Gail G. Wilkerson, Gregory S. Buol
Publikováno v:
Crop, Forage & Turfgrass Management. 3:cftm2017.08.0054
Publikováno v:
Agronomy Journal. 101:1276-1285
CSM-CERES-Maize has been extensively used worldwide to simulate corn growth and grain production, but has not been evaluated for use in North Carolina. The objectives of this study were to calibrate CSM-CERES-Maize soil parameters and genetic coeffic
Publikováno v:
Global and Planetary Change. 54:163-182
Landuse/landcover change induced effects on regional weather and climate patterns and the associated plant response or agricultural productivity are coupled processes. Some of the basic responses to climate change can be detected via changes in radia
Publikováno v:
Weed Technology. 17:412-420
Row crop weed management decisions can be complex due to the number of available herbicide treatment options, the multispecies nature of weed infestations within fields, and the effect of soil characteristics and soil-moisture conditions on herbicide
Autor:
Gail G. Wilkerson, T. Vagts, T. Mavromatis, K. Whiting, N. Sun, Stephen Welch, Gregory S. Buol
Publikováno v:
Transactions of the ASAE. 45
Genetic coefficients are constants that enable crop simulation models to mimic the phenological and physiological idiosyncrasies of individual varieties. Methods have been developed for estimating genetic coefficients from research data or from publi