Modeling biopore effects on root growth and biomass production on soils with pronounced sub-soil clay accumulation

Gaiser, Thomas; Perkons, Ute; Küpper, Paul Martin; Kautz, Timo; Uteau, Daniel; Ewert, Frank; Enders, Andreas; Krauss, Gunther

doi:10.1016/j.ecolmodel.2013.02.016

Cited by 99 publications

(86 citation statements)

References 31 publications

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“…The data were transformed for the analysis but mean values (± SE) are shown. For results of univariate analysis, see Table 5 of biopore-root-shoot relationship might require simulation with mathematical modeling with myriad soil, plant, and environmental variables (Jakobsen and Dexter 1988;Gaiser et al 2013). …”

Section: Discussionmentioning

confidence: 99%

Root growth dynamics inside and outside of soil biopores as affected by crop sequence determined with the profile wall method

et al. 2015

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Taprooting crop species are capable of creating soil biopores (>2 mm in diameter) in the subsoil due to their large root size and deep-rooting habit. The aim of this study was to quantify root growth dynamics of wheat in the subsoil during its complete growth season as affected by crop sequence. Temporal observation on root length (km m −2 ) of wheat inside and outside of biopores at four growth stages (tillering, booting, anthesis, and milk) was conducted by using the profile wall method under the two crop sequence treatments involving two precrops, viz., chicory and tall fescue. Frequency of biopore presence measured on vertical profile walls depended on the choice of precrops in which chicory precrop resulted in higher frequency (2.3 %) compared with tall fescue (1.5 %). Root length of wheat measured inside biopores was significantly higher when grown after chicory (0.024 km m −2 ) in comparison to tall fescue (0.006 km m −2 ). On average, root length outside biopores after growing chicory was 45.9 % higher than tall fescue until the stage of anthesis. We conclude that at the site under study biopores as pathways for rapid root growth into deeper soil layers allow roots to re-enter and explore the subsoil. Thus, cereals cultivated in rotation with taprooted crops can draw benefit from enhanced uptake of water and nutrients from deeper soil layers during early growth stages. Model simulations with various abiotic and biotic factors will be helpful to reveal the direct evidence of biopore-root-shoot relationship in the future.

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Section: Discussionmentioning

confidence: 99%

Root growth dynamics inside and outside of soil biopores as affected by crop sequence determined with the profile wall method

et al. 2015

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“…SIMPLACE<LINTUL-5, DRUNIR, Heat> used in this study combines the LINTUL-5 crop growth model (Wolf, 2012), the water balance model, DRUNIR from the LINTUL-2 model (Spitters and Schapendonk, 1990) and a module to simulate the effects of high temperature on grain yield (Eyshi Rezaei et al, 2013) in the SIMPLACE modeling framework (Gaiser et al, 2013). The code for SIMPLACE and the model components used in this study can be assessed at: http://www.simplace.net/Joomla/index.php/ documentation/simplace-framework-for-software-developers In LINTUL5, daily temperature sums and crop-specific requirements are used to simulate the crop development stage (DVS) and progression from emergence (DVS = 0.0) to anthesis (DVS = 1.0) and maturity (DVS = 2.0).…”

Section: Model Descriptionmentioning

confidence: 99%

“…van Ittersum et al, 2003;Angulo et al, 2013). The LINTUL models have been used with SIMPLACE in various studies at field (Gaiser et al, 2013), country and continental scales (Zhao et al, 2015a). -5, DRUNIR, HEAT> (Gaiseret al, 2013;Zhao et al, 2015aZhao et al, 2015a) was used to simulate daily growth and development of six crops (grain maize, potato, sugar beet, winter barley, winter rape seed and winter wheat) for the EU-27.…”

Section: Introductionmentioning

confidence: 99%

“…A second objective is to estimate how crop N uptake may change under future climate change scenarios. The assessment was made with the SIMPLACE modeling framework (Gaiser et al, 2013), including, amongst others, the LINTUL5 crop growth model (Wolf, 2012). The LINTUL models have been used to assess water use under different irrigation regimes (Farre et al, 2000), crop nitrogen limitation resulting from different nitrogen fertilization rates in rice (Shibu et al, 2010), as well as in climate change impact assessment studies (e.g.…”

Section: Introductionmentioning

confidence: 99%

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Climate change impacts on European crop yields: Do we need to consider nitrogen limitation?

Webber

Zhao

Wolf

et al. 2015

European Journal of Agronomy

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“…Root length is an important parameter to evaluate root functions and the influence of soil on them (Gaiser et al, 2013). However, to date no method for a fast and precise measurement of root length was fully established (Kimura et al, 1999).…”

Section: Introductionmentioning

confidence: 99%

Public-domain software for root image analysis

Costa

Cunha

Jorge

et al. 2014

Rev. Bras. Ciênc. Solo

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SUMMARYIn the search for high efficiency in root studies, computational systems have been developed to analyze digital images. ImageJ and Safira are public-domain systems that may be used for image analysis of washed roots. However, differences in root properties measured using ImageJ and Safira are supposed. This study compared values of root length and surface area obtained with public-domain systems with values obtained by a reference method. Root samples were collected in a banana plantation in an area of a shallower Typic Carbonatic Haplic Cambisol (CXk), and an area of a deeper Typic Haplic Ta Eutrophic Cambisol (CXve), at six depths in five replications. Root images were digitized and the systems ImageJ and Safira used to determine root length and surface area. The line-intersect method modified by Tennant was used as reference; values of root length and surface area measured with the different systems were analyzed by Pearson's correlation coefficient and compared by the confidence interval and t-test. Both systems ImageJ and Safira had positive correlation coefficients with the reference method for root length and surface area data in CXk and CXve. The correlation coefficient ranged from 0.54 to 0.80, with lowest value observed for ImageJ in the measurement of surface area of roots sampled in CXve. The IC (95 %) revealed that root length measurements with Safira did not differ from that with the reference method in CXk (-77.3 to 244.0 mm). Regarding surface area measurements, Safira did not differ from the reference method for samples collected in CXk (-530.6 to 565.8 mm 2 ) as well as in CXve (-4231 to 612.1 mm 2 ). However, measurements with ImageJ were different from those obtained by the reference method, underestimating length and surface area in samples collected in CXk and CXve. Both ImageJ and Safira allow an identification of increases or decreases in root length and surface area. However, Safira results for root length and surface area are closer to the results obtained with the reference method.Index terms: root length, root surface area, image processing, root system.

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Modeling biopore effects on root growth and biomass production on soils with pronounced sub-soil clay accumulation

Cited by 99 publications

References 31 publications

Root growth dynamics inside and outside of soil biopores as affected by crop sequence determined with the profile wall method

Root growth dynamics inside and outside of soil biopores as affected by crop sequence determined with the profile wall method

Climate change impacts on European crop yields: Do we need to consider nitrogen limitation?

Public-domain software for root image analysis

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