Results 61 to 70 of about 2,519 (160)

Recalibrating a sugarcane crop model using thermal infrared data [PDF]

open access: yes, 2013
Coupling remotely sensed data with crop model is known to improve the estimation of crop variables by the model. The recalibration coupling approach tends to reduce the differences between observation and simulation by optimizing the value of one of the ...
Bégué, Agnès   +5 more
core  

Targeting drought-tolerant maize varieties in southern Africa: a geospatial crop modeling approach using big data [PDF]

open access: yes, 2016
Maize is a major staple food crop in southern Africa and stress tolerant improved varieties have the potential to increase productivity, enhance livelihoods and reduce food insecurity.
Abate, T.   +9 more
core   +1 more source

Evaluating CERES-Maize Model Using Planting Dates and Nitrogen Fertilizer in Zambia

open access: yesJournal of Agricultural Science, 2015
A field experiment was conducted during the 2013/2014 season to evaluate the performance of CERES-maize model in simulating the effect of date of planting, nitrogen fertilizer and root-zone soil water profile on growth and yield of maize (Zea mays L.) at the Field Research Station of the School of Agricultural Sciences, University of Zambia, Zambia (15°
Charles Bwalya Chisanga   +3 more
openaire   +2 more sources

Annual Reports to the ESA Council ESA 110th Annual Meeting July, 2025

open access: yes
The Bulletin of the Ecological Society of America, EarlyView.
wiley   +1 more source

Testing the Performance of Two Maize Simulation Models with a Range of Cultivars of Maize (Zea mays) in Diverse Environments [PDF]

open access: yes, 1996
Maize production is increasing in importance in Australia, and has potential for substantial further expansion. Additional production areas and/or more intensive use of existing production areas will be needed.
Andrade   +11 more
core   +1 more source

Utilização do modelo Ceres-Maize na avaliação de estratégias de irrigação na cultura do milho em duas regiões do Estado de Minas Gerais. [PDF]

open access: yes, 2018
The Ceres-Maize model was to study water consumption and profitability of maize crop at three growing seasons, for two regions of Minas Gerais, Brazil, for establishing and evaluating the necessary database for the use of this model.
COSTA, L. C.   +5 more
core  

CERES‐Maize Predictions of Maize Phenology under Nitrogen‐Stressed Conditions in Nigeria

open access: yesAgronomy Journal, 2003
Simulation models have the potential of greatly enhancing decision‐making by farmers and researchers in Nigeria. These models however, need to be adapted before use. This study was conducted to test the phenology module of CERES‐Maize model version 3.5 under varying N rates as a step toward adapting the model in the Southern Guinea Savanna of Nigeria ...
Gungula, D.T., Kling, J., Togun, A.
openaire   +2 more sources

Influência da temperatura do ar no comprimento do ciclo e produtividade do milho irrigado. [PDF]

open access: yes, 2018
A cultura do milho pode desenvolver-se sob amplas condições de solo e clima; no entanto, mesmo em condições adequadas de suprimento de água, outros fatores ambientais, como a disponibilidade térmica, podem exercer influência sobre seu crescimento e ...
ALVES, M. E. B.   +3 more
core  

Simulação de florescimento e da produção de milho através do modelo CERES: maize Mayze yeld and flowering date simulation by using CERES: Maize Model

open access: yesCiência e Agrotecnologia, 2009
A utilização dos computadores na agricultura tem trazido inúmeros benefícios ao empresário rural. Entre tais benefícios, a utilização de programas de computador para simular o crescimento e desenvolvimento de plantas; bem como o seu uso na otimização de práticas culturais, tem se mostrado como uma opção. Objetivou-se, neste trabalho, avaliar o programa
Paglis, Carlos Maurício   +1 more
openaire   +1 more source

Utilização do modelo Ceres-Maize como ferramenta na definição de estratégias de semeadura de milho: 1-sistema de produção de sequeiro. [PDF]

open access: yes, 2018
A data da semeadura é um dos fatores que mais afetam produtividade de milho de sequeiro. Utilizou-se o modelo Ceres-Maize para simular a produtividade de milho semedo em diferentes datas em Sete Lagoas, MG.
AMARAL, T. A.   +7 more
core  

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