Deficit irrigations during soybean reproductive stages and CROPGRO-soybean simulations under semi-arid climatic conditions

Doğan, Ergün; Kırnak, Halil; Çopur, Osman

doi:10.1016/j.fcr.2007.05.009

Cited by 95 publications

(65 citation statements)

References 22 publications

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“…These values met crop water requirements during growing cycle found by some authors conducting experiments in Brazil (DANTAS NETO et al, 2005;NÓBREGA et al, 2001;SILVEIRA;. Additionally, Doorenbos and Kassam (2000) concluded that maximum bean yield is achieved when 300 to 400 mm is available during the cycle, depending on the local edaphoclimatic conditions.…”

Section: Rainfall and Irrigationsupporting

confidence: 65%

“…Sau et al (2004) also found simulated evapotranspiration values to be higher than those observed in the field. Differences between the observed and simulated yield results were partly attributed to the semi-arid climatic conditions of the study area and to the CROPGROsoybean ET model that overestimated simulated ET (DOGAN et al, 2007).…”

Section: Simulated and Measured Soil Moisture Behaviormentioning

confidence: 90%

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Simulation of bean crop growth, evapotranspiration and yield in Paraná State by the CROPGRO-Drybean model

et al. 2011

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ABSTRACT. The performance of the CROPGRO-Drybean model for the prediction of soil water balance, as well as growth components and bean crop yield, was assessed using data from two field experiments conducted at the State University of Maringá Iirrigation Technical Center, Paraná, Brazil, (latitude 23º27'S, longitude 51º57' and altitude 542 m) during the 2005 and 2006 growing seasons. This assessment aimed to analyze growth components, evapotranspiration and bean crop yield for the edaphoclimatic conditions of the area as simulated by the CROPGRO-Drybean model. This is a model for legumes, and it is grouped in a Decision Support System for Agrotechnology Transference (DSSAT). The model simulates growth, development and yield components of beans as a function of daily climatologic elements for each soil's specific conditions. It is possible to affirm that water deficit during flowering caused the model to penalize yield severely. It showed discrepant values in leaf area index simulation, and also accentuated discrepancies between measured and simulated values of soil moisture on the day following rainfall. Correlations between measured and simulated values of soil moisture exceeded 70% in both experiments. Yield was underestimated by the model in both experiments.

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Section: Rainfall and Irrigationsupporting

confidence: 65%

Section: Simulated and Measured Soil Moisture Behaviormentioning

confidence: 90%

Simulation of bean crop growth, evapotranspiration and yield in Paraná State by the CROPGRO-Drybean model

et al. 2011

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“…Many such characteristics make it more tolerant to drought than other legume crops (Turk et al, 1980;Gwathmey and Hall, 1992;Itani et al, 1992;Mia et al, 1996;Singh et al, 1999). Soybean is planted at the start of spring or later in USA, South America and China and experience relatively less drought compared with other legumes with a high water requirement (450−700 mm) (Dogan et al, 2007). Soybean is found to be well-adapted to the rainy season in South East Asia (Srivastava et al, 1996).…”

mentioning

confidence: 99%

Root Anatomical Traits and Their Possible Contribution to Drought Tolerance in Grain Legumes

Ramamoorthy

Zaman-Allah

Mallikarjuna

et al. 2013

Plant Production Science

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These root segments were thinner in both groundnut and pigeonpea than in other legumes but similar to those of pearl millet. Soybean and pigeonpea had a relatively thinner cortex than the other legumes. Xylem vessel size and the numbers were apparently the most discriminating traits of legumes. Pigeonpea is equipped to conduct small quantities of water per unit time with a few narrow xylem vessels and that explains the conservative early growth of pigeonpea. Chickpea and cowpea showed moderate xylem passage per root indicating that they are capable of absorbing water moderately and are well equipped for regular drought episodes. The development of cortical and stele tissue and their proportion is markedly influenced by moisture availability to the root system.

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“…Most cultures are more sensitive to water stress between flowering and grain filling (Dogan et al, 2011;Kirnak;Copur, 2007;Hamzei;Soltani, 2012). At the end of each experimental cycle we evaluated the morphological components, namely, plant height (cm), number of branches and aboveground dry weight (g plant -1 ), and the productive components, namely, number of pods, thousand grain weight (g), grain yield (kg ha -1 ), oil content of grain (%) and oil yield (kg ha -1 ).…”

Section: Equationmentioning

confidence: 99%

Canola yield under different irrigation frequencies and nitrogen levels in the Brazilian Cerrado

2017

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In the Brazilian Cerrado, canola is grown in the off-season. During this period, rainfall is insufficient to ensure the maximum crop yield, and irrigation is needed. Canola has a high demand for nitrogen; thus, the application of this nutrient is essential for obtaining a good crop yield. Therefore, a study was conducted at the Federal University of Grande Dourados in 2012 and 2013 using a randomized block split-plot design with four repetition treatments in the plot that consisted of three irrigation frequencies (no irrigation, weekly irrigation and irrigation three times per week). Subplots received different doses of nitrogen: 0, 30, 60, 90 and 120 kg ha -1 in 2012 and 0, 60, 120, 180 and 240 kg ha -1 in 2013. In both periods, the irrigation frequencies significantly affected plant height, dry weight, grain yield, thousand grain weight and oil content. The nitrogen levels significantly affected dry weight, thousand grain weight and oil content in 2012, as well as plant height, number of pods, dry weight, grain yield and oil yield in 2013. The highest yields were obtained when irrigation was performed three times per week, corresponding to 3,001.84 kg ha -1 in 2012 and 2,516.7 kg ha -1 in 2013.Index terms: Brassica napus L.; oil seeds; tensiometry. RESUMONo Cerrado brasileiro, a canola está sendo cultivada na estação seca, sendo que durante este período a precipitação não é suficiente para garantir o máximo rendimento da cultura, por isso há necessidade de irrigação. A canola tem uma alta demanda de nitrogênio, portanto, a aplicação deste nutriente é essencial para a obtenção de um bom rendimento. Assim, foi realizado um estudo na Universidade Federal de Grande Dourados, em 2012 e 2013, utilizando-se um delineamento de blocos ao acaso com quatro repetições, os tratamentos na parcela composta por três frequências de irrigação (sem irrigação, irrigação semanal e irrigação três vezes por semana). As subparcelas receberam diferentes doses de nitrogênio: 0, 30, 60, 90 e 120 kg ha -1 em 2012; E 0, 60, 120, 180 e 240 kg ha -1 em 2013. Em ambos os períodos, as frequências de irrigação afetaram significativamente a altura da planta, o peso seco, o rendimento de grãos, o peso de mil grãos e o teor de óleo. Os níveis de nitrogênio afetaram significativamente o peso seco, o peso de mil grãos e o teor de óleo em 2012, assim como a altura da planta, o número de vagens, o peso seco, o rendimento de grãos e o rendimento de óleo em 2013. Os maiores rendimentos foram obtidos quando a irrigação foi realizada três vezes por semana, correspondendo a 3.001,84 kg ha-1 em 2012 e 2.516,7 kg ha -1 em 2013.Termos para indexação: Brassica napus L.; sementes oleaginosas; tensiometria.

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Deficit irrigations during soybean reproductive stages and CROPGRO-soybean simulations under semi-arid climatic conditions

Cited by 95 publications

References 22 publications

Simulation of bean crop growth, evapotranspiration and yield in Paraná State by the CROPGRO-Drybean model

Simulation of bean crop growth, evapotranspiration and yield in Paraná State by the CROPGRO-Drybean model

Root Anatomical Traits and Their Possible Contribution to Drought Tolerance in Grain Legumes

Canola yield under different irrigation frequencies and nitrogen levels in the Brazilian Cerrado

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