OILCROP‐SUN: A Development, Growth, and Yield Model of the Sunflower Crop

Villalobos, Francisco J.; Hall, Anthony; Ritchie, J. T.; Orgaz, F.

doi:10.2134/agronj1996.00021962008800030008x

Cited by 141 publications

(96 citation statements)

References 47 publications

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“…As this parameter is not known, it was assumed equal to 17,000 cm g À1 adopted by Villalobos et al (1996) for sunflower. Potential daily root depth increase (DRD, cm per day) is calculated as a linear function of thermal time (TT, 8C per day) above a base temperature of 12 8C if DBM root > 0:…”

Section: Root-growth Modelmentioning

confidence: 99%

Modeling root growth and the soil–plant–atmosphere continuum of cotton crops

Coelho

Villalobos

Mateos

2003

Agricultural Water Management

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A simple and functional model to simulate cotton root growth is coupled to models of water balance and leaf water potential to predict the behavior of the soil-plant-atmosphere continuum (SPAC) of cotton crops. The root-growth model takes into account the dry matter partitioning to roots, root depth increase as a function of thermal time, soil mechanical resistance and soil water stress, and allows the inclusion of spatial variability of soil physical properties. The water balance model uses a cascade approach to simulate drainage while soil and plant evaporation are calculated separately following the model of Ritchie. The leaf water potential model (LWPM) is based on Ohm's Law analogy, where water flow resistance to the roots is calculated using an empirical equation and the resistance within the plant is calculated as a function of a threshold leaf water potential. The model simulated correctly the soil resistance and the temporal and spatial distribution of roots in the soil profile. The model simulated total soil water content and midday leaf water potential well, even when a compacted soil layer was present, but the agreement to observed data was poor for the vertical distribution of soil water content, mainly in the zone of greatest root concentration. #

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Section: Root-growth Modelmentioning

confidence: 99%

Modeling root growth and the soil–plant–atmosphere continuum of cotton crops

Coelho

Villalobos

Mateos

2003

Agricultural Water Management

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“…Crop models currently used for simulating sunflower yield in response to various environments are either: (i) generic (a single mode for multiple species): STICS (Brisson et al, 2003), CropSyst (Stöckle et al, 2003;Todorovic et al, 2009;Moriondo et al, 2011), EPIC/EPIC-Phase (Kiniry et al, 1992;Cabelguenne et al, 1999), AquaCrop (Raes et al, 2009;Todorovic et al, 2009), AqYield (Constantin et al, 2015), WOFOST (Todorovic et al, 2009) or (ii) specific to sunflower crop: Oilcrop-Sun (Villalobos et al, 1996), QSUN (APSIMsunflower) (Chapman et al, 1993;Zeng et al, 2016), SUNFLO (Casadebaig et al, 2011).…”

Section: Crop Models For Exploring the Impacts Of Climate Changementioning

confidence: 99%

Sunflower crop and climate change: vulnerability, adaptation, and mitigation potential from case-studies in Europe

Debaeke¹,

Casadebaig²,

Flénet

et al. 2017

OCL

113

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-Climate change is characterized by higher temperatures, elevated atmospheric CO 2 concentrations, extreme climatic hazards, and less water available for agriculture. Sunflower, a springsown crop often cultivated in southern and eastern regions of Europe, could be more vulnerable to the direct effect of heat stress at anthesis and drought during its growing cycle, both factors resulting in severe yield loss, oil content decrease, and fatty acid alterations. Adaptations through breeding (earliness, stress tolerance), crop management (planting dates), and shifting of growing areas could be developed, assessed and combined to partly cope with these negative impacts. New cultivation opportunities could be expected in northern parts of Europe where sunflower is not grown presently and where it could usefully contribute to diversify cereal-based cropping systems. In addition, sunflower crop could participate to the mitigation solution as a low greenhouse gas emitter compared to cereals and oilseed rape. Sunflower crop models should be revised to account for these emerging environmental factors in order to reduce the uncertainties in yield and oil predictions. The future of sunflower in Europe is probably related to its potential adaptation to climate change but also to its competitiveness and attractiveness for food and energy.Keywords: CO 2 / temperature / crop model / biotic stress / water deficit Résumé -Culture du tournesol et changement climatique : vulnérabilité, adaptation et potentiel d'atténuation via des études de cas en Europe. Le changement climatique se caractérise par des températures élevées, de plus fortes concentrations atmosphériques en CO 2 , des risques climatiques extrêmes et moins d'eau disponible pour l'agriculture. Le tournesol, culture semée au printemps dans le sud et l'est de l'Europe, pourrait être plus exposé à l'avenir aux fortes températures et à un déficit hydrique marqué dès la floraison, avec pour conséquences des pertes de rendement, une diminution de la teneur en huile et une altération de la composition en acides gras. Des adaptations sont possibles à court et moyen terme par la sélection (précocité, tolérance aux stress), la conduite de culture (date de semis) et le déplacement des zones de production, permettant de faire face en partie aux impacts négatifs attendus. Ainsi le tournesol pourrait être cultivé plus au nord participant utilement à la nécessaire diversification des bassins céréaliers. En outre, la culture de tournesol étant faiblement émettrice de gaz à effet de serre par rapport aux céréales ou au colza pourrait contribuer davantage à la solution climatique apportée par l'agriculture. Les modèles de culture devraient être revus pour mieux tenir compte de ces facteurs environnementaux émergents si l'on veut réduire les incertitudes dans les prédictions de rendement et de teneur en huile. L'avenir du tournesol en Europe est probablement lié à son potentiel d'adaptation au changement climatique, mais dépendra aussi de sa compétitivité et de son attractivité en t...

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“…Although there is some common ground, the overall impression is one of fragmentary coverage, results which sometimes appear contradictory, and differing assumptions for the descriptive frameworks. For example, predictive approaches for time to flowering have been based on genotype responses to temperature alone [6], or to temperature and photoperiod with [7] or without [8] a juvenile phase. Equally, there is still discussion as to whether sunflower development exhibits short-day, long-day or other responses to photoperiod.…”

Section: Control Of Crop Developmentmentioning

confidence: 99%

“…It could be argued that the quantitative descriptions developed by several groups (i.e. [6][7][8]) proved successful in predicting flowering dates over durations of the emergence-flowering phase that varied by up to almost 100 days between extremes [6,7,25], in spite of the fact that none of these frameworks incorporated the complexity suggested above. However, the important differences in the basic assumptions of these frameworks should be a sufficient argument for a re-evaluation of the issue.…”

Section: Control Of Crop Developmentmentioning

confidence: 99%

“…[29]). Because hull growth is completed while kernel mass is still increasing, and the deposition of reserve lipids commences after the start of rapid increase in kernel mass [7], terminal stresses are likely to affect final grain oil proportion simply through changes in the final proportions of hull, kernel and oil (e.g. [30]).…”

Section: The Control Of Grain Oil Proportionmentioning

confidence: 99%

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15e CONFERENCE INTERNATIONALE TOURNESOL Sunflower ecophysiology: some unresolved issues

Hall

2001

OCL

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Summary :Major unresolved issues in sunflower ecophysiology constrain efforts to improve crop modelling, management, genetic analysis and breeding. Three issues are used here to illustrate this point. Firstly, much of the work on the duration of the emergence to flowering phase has considered the phase as a whole. It is argued that a more detailed analysis based on sub-phases is required, particularly in view of possible intraspecific variability in the durations of the basic vegetative and juvenile phases and evidence that photoperiod responses before, during and after floral initiation may differ between genotypes and even be of opposite sign for the same genotype. Secondly,contrasting responses of grain oil proportion to manipulation of plant population density and incident radiation appear to be linked to variations in kernel oil proportion rather than to kernel: hull ratio, and responses of grain oil proportion to changes in sowing date seem to have a similar origin. More effort should be focused on understanding the controls of oil mass per kernel. It is speculated that there may be a genotype-dependent limit to this variable. A third unresolved issue relates to the nature and strength of the linkage between post-anthesis stay-green and leaf photosynthetic functionality. These variables are poorly related during pre-anthesis senescence of leaves in the lower portion of closed canopies, and for sunflower this linkage appears much weaker than in other crop species. Current interest in post-anthesis stay-green as a possibly useful crop attribute requires clarification of this uncertainty.Keywords : sunflower, crop development, grain oil content, stay green.Résumé : D'importants points non résolus chez le tournesol limitent les efforts pour progresser dans la modélisation des cultures, leur conduite, les analyses génétiques et l'amélioration. Trois aspects sont considérés ici pour illustrer ce point. Premièrement, la plupart des travaux concernant la durée de la période comprise entre la germination et la floraison traitent cette phase comme un tout. Le besoin d'un analyse plus détaillée en considérant des sous-phases est évoqué, particulièrement face à la possible variabilité intraspécifique dans la durée de la phase végétative de base et la phase juvénile et à l'évidence d'une réponse photopériodique différente avant, pendant et après l'initiation florale. Cette réponse différente peut aller jusqu'à être de signe contraire pour le même génotype. Deuxièmement, des réponses contrastantes dans la proportion d'huile de la graine comme conséquence de la manipulation de la densité de la population et du rayonnement incident paraissent être plus liées à la variation dans la proportion d'huile de l'amande qu'au rapport coqueamande. La réponse de la proportion d'huile de la graine aux variations de la date de semis semble Article disponible sur le site http://www.ocl-journal.org ou http://dx

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OILCROP‐SUN: A Development, Growth, and Yield Model of the Sunflower Crop

Cited by 141 publications

References 47 publications

Modeling root growth and the soil–plant–atmosphere continuum of cotton crops

Modeling root growth and the soil–plant–atmosphere continuum of cotton crops

Sunflower crop and climate change: vulnerability, adaptation, and mitigation potential from case-studies in Europe

15e CONFERENCE INTERNATIONALE TOURNESOL Sunflower ecophysiology: some unresolved issues

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