Root dynamics in plant and ratoon crops of sugar cane

Ball-Coelho, B.; Sampaio, Everardo V. S. B.; Tiessen, H.; Stewart, John

doi:10.1007/bf00010975

Cited by 88 publications

(63 citation statements)

References 21 publications

(17 reference statements)

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“…Chopart et al (1998) found a large range of SRLs (from 7 m g -1 to 91 m g -1 ) measured at 45 and 113 DAP down to a depth of 1.1 m in the Ivory Coast. Ball-Coelho et al (1992) found SRLs near 16.5 m g -1 in northeastern Brazil for the plant and fi rst ratoon crop cycles.…”

Section: Parameter Estimationmentioning

confidence: 94%

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Process-based simple model for simulating sugarcane growth and production

Marin

Jones

2014

Sci. agric. (Piracicaba, Braz.)

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Dynamic simulation models can increase research effi ciency and improve risk management of agriculture. Crop models are still little used for sugarcane (Saccharum spp.) because the lack of understanding of their capabilities and limitations, lack of experience in calibrating them, diffi culties in evaluating and using models, and a general lack of model credibility. This paper describes the biophysics and shows a statistical evaluation of a simple sugarcane processbased model coupled with a routine for model calibration. Classical crop model approaches were used as a framework for this model, and fi tted algorithms for simulating sucrose accumulation and leaf development driven by a source-sink approach were proposed. The model was evaluated using data from fi ve growing seasons at four locations in Brazil, where crops received adequate nutrients and good weed control. Thirteen of the 27 parameters were optimized using a Generalized Likelihood Uncertainty Estimation algorithm using the leave-one-out cross-validation technique. Model predictions were evaluated using measured data of leaf area index, stalk and aerial dry mass, and sucrose content, using bias, root mean squared error, modeling effi ciency, correlation coeffi cient and agreement index. The model well simulated the sugarcane crop in Southern Brazil, using the parameterization reported here. Predictions were best for stalk dry mass, followed by leaf area index and then sucrose content in stalk fresh mass. IntroductionDynamic simulation models can increase research effi ciency by allowing the analyst to search for strategies and analyze system performance, improve risk management, and interpret fi eld experiments that deal with crop responses to soil, management, genetic or environmental factors (Keating et al., 1999).Sugarcane (Saccharum spp.) is of major social and economic importance in Brazil. Worldwide, there have been several models developed specifi cally for sugarcane crop simulation (Pereira and Machado, 1986;Jones et al., 1989;Langellier and Martine, 2007;Keating et al., 1999;Thorburn et al., 2005;Inman-Bamber, 1991;Singels et al., 2008).Some of the physiological development and growth parameters that appear in the functions vary among sugarcane cultivars, meaning that they have to be estimated from data in order to predict growth and yield. Some of the parameters cannot be measured directly in typical experiments; instead, they have to be estimated based on data that are measured in experiments. Recent literature contains relatively little work on parameter estimation for crop models (Ahuja and Ma, 2011; Makowski et al., 2006). Makowski et al. (2006) point out the importance of raising the quality of calibration in crop models with automatic procedures for parameter adjustment. This would help ensure that the data are always used appropriately and in the same way for parameter estimation (Wallach et al., 2001), but such procedures are not available for direct use with existing sugarcane models.A new sugarcane model was developed ...

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Section: Parameter Estimationmentioning

confidence: 94%

“…14, derived from the results of Jones & Kiniry (1998) and Ball-Coelho et al (1992). (14) where RootSene is the percentage of total root senesced each day, and WR is the total root dry mass (g m -2 ) [ground basis].…”

Section: Crop Componentsmentioning

confidence: 99%

Process-based simple model for simulating sugarcane growth and production

Marin

Jones

2014

Sci. agric. (Piracicaba, Braz.)

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“…To Inforzato & ALVAREZ (1957), 59% of the roots are in 0.30 m surface. BALL-COELHO et al (1992) found that 62.70% of the numbers of roots are located at a depth of 0.00 to 0.50 m.…”

Section: Effective Root Depthmentioning

confidence: 98%

Root system distribution of sugarcane irrigated with domestic sewage effluent aplication by subsurface drip system

Sousa¹,

Matsura

Elaiuy³

et al. 2013

Eng. Agríc.

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Irrigation with domestic sewage effluent (DSE) has been recommended by subsurface dripping, as it can obtain a high rate of irrigation efficiency and faster use of salts in comparison with other irrigation methods. The study aimed at evaluating the area, the length and the effective depth of the root system of sugarcane irrigated with DSE by subsurface drip system and with different irrigation rates at depths of 0. 00-0.20, 0.20-0.40, 0.40-0.60 and 0.60-0.80m. The experiment was carried out in the municipality of Piracicaba, in the state of São Paulo (SP), Brazil, in a sugarcane area irrigated with DSE in a completely randomized blocks set up in furrows, with three replications and four treatments, which are: one area without irrigation (AWI) and three irrigated areas meeting 50% (T50%), 100% (T100%) and 200% (T200%) of the crop's water need between each round of irrigation. T100% and T200% provided smaller areas and lengths of roots in the two deepest layers, as compared to AWI and T50%, which stimulated the development of deeper roots due to the water stress. TWI, T100% and T200% presented 80% of the roots up to a depth of 0.40m and T50% treatment presented 76.43% of roots total. KEYWORDS:Root; water reuse; subsurface drip. DISTRIBUIÇÃO DO SISTEMA RADICULAR DA CANA-DE-AÇÚCAR IRRIGADA COM EFLUENTE DE ESGOTO DOMÉSTICO POR GOTEJAMENTO SUBSUPERFICIAL RESUMO:A irrigação com efluente de esgoto doméstico (EED) tem sido recomendada para aplicação por gotejamento subsuperficial, podendo-se obter elevados índices de eficiência de irrigação e mais rápido aproveitamento dos sais em comparação com outros métodos de irrigação. O trabalho objetivou avaliar a área de raiz, o comprimento e a profundidade efetiva do sistema radicular da cana-de-açúcar irrigada com EED aplicado por gotejamento subsuperficial e com diferentes lâminas de irrigação, nas camadas de solo de 0,00-0,20; 0,20-0,40; 0,40-0,60 e 0,60-0,80 m. O experimento foi realizado em Piracicaba-SP, numa área de cana-de-açúcar irrigada com EED, em um delineamento de blocos casualizados dispostos no esquema de faixas, com três repetições e quatro tratamentos, sendo estes: uma área sem irrigação (TSI) e três áreas irrigadas, atendendo a 50% (T50%), 100% (T100%) e 200% (T200%) da necessidade hídrica da cultura entre cada turno de rega. O T100% e o T200% proporcionaram menores áreas e comprimento de raízes nas duas camadas mais profundas, quando comparados ao TSI e ao T50%, que devido ao estresse hídrico, proporcionado à cultura, estimularam o desenvolvimento de raízes mais profundas. O TSI, T100% e T200% apresentaram 80% das raízes até 0,40 m e, nessa mesma profundidade, o tratamento T50% apresentou 76,43% do total de raízes.

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“…Unfortunately, there is no recent data about the assessment of sugarcane root system using non-destructive methods, such as minirhizotrons, which allow the monitoring of root growth along the crop cycle under field conditions. In fact, the only study with minirhizotron in sugarcane crop was carried out by Ball-Coelho et al (1992) under rainfed conditions.…”

Section: Introductionmentioning

confidence: 99%

Root growth and distribution in sugarcane cultivars fertigated by a subsurface drip system

Ohashi¹,

Pires²,

Ribeiro

et al. 2015

Bragantia

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Despite of the agronomic importance for water management, few studies of sugarcane roots have been performed under field conditions during the crop cycle. The aim of this study was to determine the cumulative root density (L A ), root distribution on soil profile and the effective rooting depth (ERD) for three sugarcane cultivars using the minirhizotron method. A field experiment was done with sugarcane cultivars IACSP94-2094, IACSP94-2101 and SP79-1011 grown under subsurface drip fertigation. Soil chemical and physical characteristics were also evaluated. Root evaluations were taken at 38, 58, 123, 185 and 205 days during the second ratoon, considering the soil profile until 0.8 m depth. The highest L A and root growth rates were found up to 0.4 m soil layer for all cultivars. Root growth rate varied during the crop cycle, with the highest values being found between 38 and 58 days after ratoon (DAR). There was a genotypic variation in root growth, with IACSP94-2101 showing the highest L A of 12.9 mm cm

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Root dynamics in plant and ratoon crops of sugar cane

Cited by 88 publications

References 21 publications

Process-based simple model for simulating sugarcane growth and production

Process-based simple model for simulating sugarcane growth and production

Root system distribution of sugarcane irrigated with domestic sewage effluent aplication by subsurface drip system

Root growth and distribution in sugarcane cultivars fertigated by a subsurface drip system

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