Results 1 to 10 of about 2,519 (160)

Options for calibrating CERES-maize genotype specific parameters under data-scarce environments. [PDF]

open access: yesPLoS One, 2019
Open Access JournalMost crop simulation models require the use of Genotype Specific Parameters (GSPs) which provide the Genotype component of G×E×M interactions.
Adnan AA   +7 more
europepmc   +10 more sources

CERES-Maize Model for Determining the Optimum Planting Dates of Early Maturing Maize Varieties in Northern Nigeria. [PDF]

open access: yesFront Plant Sci, 2017
Open Access JournalField trials were carried out in the Sudan Savannah of Nigeria to assess the usefulness of CERES–maize crop model as a decision support tool for optimizing maize production through manipulation of plant dates.
Adnan AA   +5 more
europepmc   +4 more sources

Using CERES-Maize and ENSO as Decision Support Tools to Evaluate Climate-Sensitive Farm Management Practices for Maize Production in the Northern Regions of Ghana. [PDF]

open access: yesFront Plant Sci, 2017
Open Access JournalMaize (Zea mays) has traditionally been a major cereal staple in southern Ghana. Through breeding and other crop improvement efforts, the zone of cultivation of maize has now extended to the northern regions of Ghana which, hitherto ...
MacCarthy DS   +4 more
europepmc   +4 more sources

Evaluering en kalibrering van CERES-Maize 2. Groeistadia voorspellings [PDF]

open access: yesSouth African Journal of Plant and Soil, 1994
Midsomerdroogte tydens blom het 'n vernietigende effek op mielie-opbrengs. Deur die plantdatum te manipuleer kan die effek van midsomerdroogte op oesopbrengs verminder word. Gewasgroeisimulasiemodelle kan gebruik word om die optimum plantdatum per cultivar te bepaal.
A. S. du Toit, J. Booysen, J. J. Human
openaire   +1 more source

Simulating the effects of spatially variable irrigation on corn yields, costs, and revenue in Iowa [PDF]

open access: yes, 2007
In this study, the CERES-Maize crop model was used in conjunction with Apollo, a shell program, to evaluate potential improved yield in a central Iowa cornfield on a spatially and temporally variable basis. Five years of historical yield and weather data
DeJonge, Kendall   +3 more
core   +3 more sources

Radiation balance components of maize hybrids grown at various plant densities. [PDF]

open access: yes, 2005
Components of the energy and heat balances were examined in two maize hybrids grown at three different plant densities (40, 70 and 100 thousand plants per hectare).
Anda, Angéla, Lőke, Zsuzsanna
core   +1 more source

PARAMETERIZATION OF CROP SIMULATION MODEL “CERES‐MAIZE” IN NITRA‐DOLNÁ MALANTA

open access: yesJOURNAL OF ENVIRONMENTAL ENGINEERING AND LANDSCAPE MANAGEMENT, 2007
Nowadays more than ever production of food depends on reasonable usage of sources. Processes like climate change, climate variability, carbon retention, long‐time food safety are becoming more and more important. Determining of reasonable crop strategy can have a significant social and economic effect.
Samuhel, Pavel, Šiška, Bernard
openaire   +4 more sources

Identificação e quantificação do efeito de fatores ambientais na produtividade da cultura do milho na região de Janaúba, MG. [PDF]

open access: yes, 2018
Na região do semiárido do Estado de Minas Gerais, Brasil, há um grande déficit na oferta de milho, mesmo para subsistência familiar. O entendimento dos fatores que afetam a produtividade desta cultura é crucial para o desenvolvimento de estratégias de ...
ALVES, M. E. B.   +4 more
core   +1 more source

Évaluation et analyse de sensibilité du modèle CERES-Maize en conditions alsaciennes [PDF]

open access: yesAgronomie, 1991
CERES-Maize est un modèle de simulation de la croissance et du développement du maïs élaboré et validé aux Etats-Unis. Afin d’estimer les possibilités de transposition du modèle dans des conditions européennes, des simulations ont été réalisées pour 2 variétés de maïs (LG11 et DEA) cultivées en Alsace 2 années consécutives.
Plantureux, S.   +3 more
openaire   +2 more sources

Assessing deficit irrigation strategies for corn using simulation [PDF]

open access: yes, 2016
Citation: Kisekka, I., Aguilar, J. P., Rogers, D. H., Holman, J., O'Brien, D. M., & Klocke, N. (2016). Assessing deficit irrigation strategies for corn using simulation. Transactions of the Asabe, 59(1), 303-317.
Aguilar, Jonathan P.   +5 more
core   +1 more source

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