Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Tom Gocken"'
Autor:
Christopher T. Stone, Katie Budreski, Nathan Ramsey, James W. Jones, Glenn Hyman, Michael D. Edgerton, Michael Doane, David Healy, Tom Gocken, Cheryl Porter, David I. Gustafson, Jereme Shryock
Publikováno v:
International Journal of Agricultural Sustainability. 12:471-486
Climate change represents an unavoidable and growing challenge to food security, imposing new adaptation imperatives on all farmers. Maize is arguably the world's most productive grain crop, as measured by grain yield. However, maize yields vary dram
Predicting maize phenology : intercomparaison of functions for developmental response to temperature
Autor:
François Tardieu, Armen R. Kemanian, G.O. Edmeades, K.A. Dzotsi, Jerry L. Hatfield, Kenneth J. Boote, Fernando H. Andrade, Sung Hyun Kim, Haishun Yang, Graeme Hammer, Jon I. Lizaso, G.A. Brown, James R. Kiniry, S. Kumudini, A.L. Halter, Dennis Timlin, Daniel Wallach, R. L. Nielsen, Peter R. Thomison, C.O. Stӧckle, Boris Parent, Claas Nendel, Tony J. Vyn, James W. Jones, Tom Gocken, Michael Goodwin, Matthijs Tollenaar
Publikováno v:
Agronomy Journal 6 (106), 2087-2097. (2014)
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Agronomy Journal
Agronomy Journal, American Society of Agronomy, 2014, 106 (6), pp.2087-2097. ⟨10.2134/agronj14.0200⟩
Agronomy Journal 106 (6) : 2087-2097 (2014)
INTA Digital (INTA)
Instituto Nacional de Tecnología Agropecuaria
instacron:INTA
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Agronomy Journal
Agronomy Journal, American Society of Agronomy, 2014, 106 (6), pp.2087-2097. ⟨10.2134/agronj14.0200⟩
Agronomy Journal 106 (6) : 2087-2097 (2014)
INTA Digital (INTA)
Instituto Nacional de Tecnología Agropecuaria
instacron:INTA
Accurate prediction of phenological development in maize (Zea mays L.) is fundamental to determining crop adaptation and yield potential. A number of thermal functions are used in crop models, but their relative precision in predicting maize developm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2460193d7bec6c94c9d27c26f088e9c9
http://prodinra.inra.fr/record/270015
http://prodinra.inra.fr/record/270015
Autor:
Prabhakar Dhungana, John Anderson, Zheng Li, Monty Criswell, Fridgen Jon James, Steven B. Stark, Clinton D Pilcher, Michael D. Edgerton, Tom Gocken, Arnold A. Rosielle, Sadayappan Mariappan, Jenne Ahlgrim
Publikováno v:
Nature biotechnology. 30(6)