Center Pivot Irrigation Management Optimization of Dry Beans in Humid Areas

Heinemann, A. B.; Hoogenboom, Gerrit; Georgiev, G. A.; Faria, Rogério Teixeira de; Frizzone, José Antônio

doi:10.13031/2013.3050

Cited by 19 publications

(12 citation statements)

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“…Heinemann et al (2000) used the CROPGRO simulation model to analyze irrigation practices, but stated that scenarios considering different weather conditions and soil types are necessary for a wider acceptance of the simulation. Sadler et al (2005) discuss the possibility of variable-rate irrigation systems, and also indicate that decision support systems are needed to enhance the viability of precision irrigation.…”

mentioning

confidence: 99%

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

DeJonge

Kaleita

Thorp

2007

Agricultural Water Management

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mentioning

confidence: 99%

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

DeJonge

Kaleita

Thorp

2007

Agricultural Water Management

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“…This model has been widely applied in Brazil for different purposes, in agricultural research (Heinemann et al 2000, 2002, Lima Filho et al 2013aand 2013b, Oliveira et al 2012 requires daily weather data, soil surface and profile information, and detailed crop management (variety, row spacing, plant population, fertilizer and irrigation application dates and amounts) as input. Crop genetic information is defined in a crop species file that is provided by the model and cultivar information that should be provided by the user.…”

Section: Methodsmentioning

confidence: 99%

Early sowing can improve irrigation water use efficiency and yield of common bean

Silva

Stone

Santos

et al. 2017

Pesqui. Agropecu. Trop.

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One of the great challenges in the use of irrigation, from an economic and environmental point of view, is to optimize the amount of water used in the production system. This study aimed at determining the viability of early sowing in the fall/winter harvest season, as well as its effects on the irrigation water use efficiency and yield of common bean. A crop model named CSM-CROPGRO-Dry bean, which simulates growth, development and yield of common bean as a function of environmental conditions, crop management and cultivar-specific parameters, was used to simulate the effects of 12 sowing dates on the irrigation water use efficiency and yield of the Pérola and BRS Radiante common bean cultivars. The simulated dates were as it follows: March 1st, 10 and 20 and April 1st, 10 and 20 (considered early); and May 1st, 10 and 20 and June 1st, 10 and 20 (considered traditional). The early sowing results in greater water economy than the traditional sowing season. Sowing in March provides a higher grain yield for the BRS Radiante cultivar and is similar to the traditional sowing of the Pérola cultivar. Concerning grain yield and irrigation water use efficiency, it is feasible to sow both cultivars in March.

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“…Research developed in the last decade, analyzing the economic benefits of optimal irrigation have concluded that irrigation efficiency can increase income considerably (Frizzone et al 1997;Sousa et al 1998;Heinemann et al 2000;Andrade et al 2001;Heineman et al 2001;English et al 2002;Gorantivar and Smouth 2003;Frizzone 2003;Miranda & Pires 2003;Montero et al 2004;Perry et al 2004;Brennan 2007). Ribeiro (2001) studying the lifespan of a pressure regulator confirmed that up to 6000 hours was an invariable life span.…”

Section: Introductionmentioning

confidence: 99%

Optimal Moment to Change Pressure Regulator and Sprayer Kit on Center Pivot Irrigation Machines: A Theoretical Proposal

Leira

Sanchéz-Román

Frizzone

2011

R_I

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A theoretical model was developed in order to determine the optimal moment for substituting the sprayer and pressure regulator kit on a center pivot irrigation machine. The model is based on the hypothesis that pressure regulator and sprayer deterioration decrease irrigation uniformity. To compensate the deficit that happens at under irrigated areas, an increase on irrigation depth is required. The model considers: additional water consumption and energy costs, maintenance and labor costs, as well as yield losses associated with under or over irrigated areas. The sum of all these components is compared to buying and installing a new spray kit cost, allowing the farmer to decide the best moment to renovate the sprayer and pressure regulator kits on a center pivot irrigation machine based on economic criteria.

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Center Pivot Irrigation Management Optimization of Dry Beans in Humid Areas

Cited by 19 publications

References 0 publications

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

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

Early sowing can improve irrigation water use efficiency and yield of common bean

Optimal Moment to Change Pressure Regulator and Sprayer Kit on Center Pivot Irrigation Machines: A Theoretical Proposal

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