Management of nitrogen fertilizer, irrigation and plant density in onion production using response surface methodology as optimization approach

Mansouri, H.; Bannayan, Mohammad; Moghaddam, Parviz Rezvani; Lakzian, Amir

doi:10.5897/ajar2013.8428

Cited by 3 publications

(2 citation statements)

References 25 publications

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“…La condición de complejidad planteada puede ser sorteada por el investigador al ir obviando ciertos efectos para centrarse en aquellos que inciden directamente en la respuesta, para ISSN 0717-9103 ISSN Online 0718-8307 Universidad del Bío-Bío obtener con mayor eficacia, por ejemplo, los rendimientos óptimos y la minimización de costos implícitos en un experimento agrícola. Esta optimización puede lograrse utilizando el diseño de experimento, herramienta estadística de vanguardia, que permite alcanzar conclusiones relevantes en forma eficiente y económica (Mansouri et al, 2014;Koocheki et al, 2014;Molina et al, 2016;).…”

Section: Introductionunclassified

“…En la revisión de la literatura realizada, no se ha encontrado estudios que relacionen factores tales como: la irrigación, la aplicación de nitrógeno, la densidad de plantas con las respuestas de Producción, Eficiencia del Nitrógeno, Eficiencia de la Irrigación y Relación Beneficio Costo; sin embargo, es importante resaltar que algunos estudios recientes plantean sólo la optimización de factores de cantidad de nitrógeno y consumo de agua (Soltani & Soltani 2016, Hammad et al, 2015. Adicionalmente hay otras investigaciones que incluyen los mencionados factores y la densidad de plantas, a través de la metodología de respuesta, (Mansouri et al, 2014;Koocheki et al, 2014), pero esas referencias no toman en cuenta el costo de producción, respuesta que complementa y amplía el proceso de optimización de una producción agrícola.…”

Section: Introductionunclassified

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Metodología de superficie de respuesta para la Optimización de una producción agrícola

Yaguas¹

2017

Rev. Ing. Ind.

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This proposal shows an economic scenario that indicate how to minimize the costs of certain agricultural activities. Therefore, the objective was: to obtain the optimal values of a hypothetical multi-response process of maize production, by means of the Response Surface Methodology, in which three factors: Irrigation, Nitrogen and Plant Density are combined, each with 3 levels and 16 treatments, randomized in three blocks, for a total of 48, according to a Composite Central Design. The optimization of the answers: Production, Nitrogen Efficiency, Irrigation Efficiency and Benefit Cost Ratio was obtained through the Design Expert 10 program in conjunction with a desirability function. Also is presented a polynomial model that represents a quantitative relationship between the answers and the proposed factors. The economic scenario, detailed for one hectare,

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Section: Introductionunclassified

Metodología de superficie de respuesta para la Optimización de una producción agrícola

Yaguas¹

2017

Rev. Ing. Ind.

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Produtividade da cebola fertirrigada sob diferentes doses de nitrogênio e densidades populacionais

Júnior

Kürtz

2016

Hortic. Bras.

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Application of Response Surface Methodology for the Optimization of Growth of Pearl Millet

Sunitha

Lakshmi

Saibaba

2015

BMRJ

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A Group of mathematical and statistical designs collectively known as Response Surface Methodology (RSM) are increasingly being used to optimize a product or process. The present study attempts to evaluate the efficacy of the mathematical model Central Composite Design (CCD) and RSM in optimizing parameters for enhancing plant growth of Pearl millet (Pennisetum glaucum). The interactions between different levels of Nitrogen (0,6,12,24,36,48 kg/acre) and Azotobacter (0, 5, 10, 20, 30, 40 mg of the recommended dose per gram seed) was theoretically optimized and later experimentally verified in the field during Kharif season of 2009-2011. Results revealed that all treatments enhanced plant growth by increasing root length, root weight, shoot length and shoot weight over control. Best growth of Pearl millet was obtained when optimum combination of 17.75 kgs/acre Nitrogen (75% of the recommended dose of fertilizer) and 6.82 mg of Azotobacter was used. This combination enhanced growth by 3 to 6 fold compared to control. The predicted optimum values of root and shoot length were 17.69 cm and 163.76 cm fairly agree with the experimental

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Management of nitrogen fertilizer, irrigation and plant density in onion production using response surface methodology as optimization approach

Cited by 3 publications

References 25 publications

Metodología de superficie de respuesta para la Optimización de una producción agrícola

Metodología de superficie de respuesta para la Optimización de una producción agrícola

Produtividade da cebola fertirrigada sob diferentes doses de nitrogênio e densidades populacionais

Application of Response Surface Methodology for the Optimization of Growth of Pearl Millet

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