Hierarchical crop growth models can contribute signi®cantly to land quality research because the yield gap between the estimated optimum and the actual crop production has been identi®ed as a major land quality indicator. This study describes a three-level, hierarchical crop production model, simulating radiation-thermal, water-limited and natural production potentials of annual crops. Input requirements have been kept low to ensure its applicability to developing regions, which often have access only to limited data. The simplicity of this model also has disadvantages: inconsistencies have been reported when applying this model in semiarid regions, which are characterized by very irregular rainfall patterns. Revision of the water balance, which simulates the availability of water, was required. The modi®ed model was validated using the experimental yields of maize and sun¯ower in Guquka, a semiarid region of South Africa. Yields were estimated very well, possible improvements to crop production were identi®ed and implications for land-use planning highlighted. Yield gap analysis revealed that radiation, sunshine and temperature are favourable for crop production, but the heavy dependence on rainfall makes the region very vulnerable to drought, with devastating impact on yields. The generally low chemical soil fertility further reduces crop performance.

Second-generation biofuels could provide renewable energy while reducing the globaleconomy dependence on oil and mitigating climate change. However, their greenhouse gasemission balances, as well as their energy and environmental balances, are discussed,especially when they are produced from agricultural feedstock. The use of agriculturalfeedstock for energy purposes also raises the issue of competition with food production. Inthis context, this work contributes to the assessment of the sustainability of Miscanthus xgiganteus, a perennial C4 crop candidate to the production of second-generation ethanol. Theobjectives of this work are (i) to achieve a multicriteria evaluation of cropping systems basedon M. Giganteus using data collected in farmers’ fields and (ii) to compare these croppingsystems with cropping systems including other resources Agricultural candidates for biofuelproduction. The main contributions of this work are (i) the study of the variability of yieldsand winter nitrate losses in a network of commercial fields located in Burgundy (France), (ii)the characterization by modeling of M. giganteus long-term yield evolution and (iii) theintegration of these findings in a process of cropping systems design and assessment aimingat comparing M. giganteus with other feedstock candidate to the production of bioethanol.The study of M. giganteus in farmers’ fields shows that the high variability of yields andnitrate losses is linked to (i) crop age, (ii) soil type and (iii) the type of field (i.e. culturalhistory, size, shape, and environment). Contrasting yield scenarios, built by combining datacollected in commercial fields with a long-term yield evolution model, show that thesensitivity of assessment results regarding yields depends on the assessment field. Theinsertion of M. giganteus in a cropping system can significantly improve the greenhouse gasemission balance as well as the environmental balance, compared with a cropping systembased on a short cropping sequence. Economic results depend strongly on M. giganteus yield.Other agricultural feedstocks are also interesting, especially on soils where the yield potentialof M. giganteus is low: this is particularly the case of alfalfa stems, which can be used forsecond-generation ethanol production. / Second-generation biofuels could provide renewable energy while reducing the globaleconomy dependence on oil and mitigating climate change. However, their greenhouse gasemission balances, as well as their energy and environmental balances, are discussed,especially when they are produced from agricultural feedstock. The use of agriculturalfeedstock for energy purposes also raises the issue of competition with food production. Inthis context, this work contributes to the assessment of the sustainability of Miscanthus xgiganteus, a perennial C4 crop candidate to the production of second-generation ethanol. Theobjectives of this work are (i) to achieve a multicriteria evaluation of cropping systems basedon M. Giganteus using data collected in farmers’ fields and (ii) to compare these croppingsystems with cropping systems including other resources Agricultural candidates for biofuelproduction. The main contributions of this work are (i) the study of the variability of yieldsand winter nitrate losses in a network of commercial fields located in Burgundy (France), (ii)the characterization by modeling of M. giganteus long-term yield evolution and (iii) theintegration of these findings in a process of cropping systems design and assessment aimingat comparing M. giganteus with other feedstock candidate to the production of bioethanol.The study of M. giganteus in farmers’ fields shows that the high variability of yields andnitrate losses is linked to (i) crop age, (ii) soil type and (iii) the type of field (i.e. culturalhistory, size, shape, and environment). Contrasting yield scenarios, built by combining datacollected in commercial fields with a long-term yield evolution model, show that thesensitivity of assessment results regarding yields depends on the assessment field. Theinsertion of M. giganteus in a cropping system can significantly improve the greenhouse gasemission balance as well as the environmental balance, compared with a cropping systembased on a short cropping sequence. Economic results depend strongly on M. giganteus yield.Other agricultural feedstocks are also interesting, especially on soils where the yield potentialof M. giganteus is low: this is particularly the case of alfalfa stems, which can be used forsecond-generation ethanol production.