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Ventrella, D. (2016). Durum wheat yield and protein stability depending on residue management in a long term experiment in Southern Italy Edinburgh. Proceeding of ESA 14 – Growing landscapes – Cultivating innovative agricultural systems. Edinburgh (UK).
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Ventrella, D. (2016). The time factor in the long term resarches: statistichal and modelling approaches..
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Van Oijen, M., & Höglind, M. (2016). Toward a Bayesian procedure for using process-based models in plant breeding, with application to ideotype design. Euphytica, 207(3), 627–643.
Abstract: Process-based grassland models (PBMs) simulate growth and development of vegetation over time. The models tend to have a large number of parameters that represent properties of the plants. To simulate different cultivars of the same species, different parameter values are required. Parameter differences may be interpreted as genetic variation for plant traits. Despite this natural connection between PBMs and plant genetics, there are only few examples of successful use of PBMs in plant breeding. Here we present a new procedure by which PBMs can help design ideotypes, i.e. virtual cultivars that optimally combine properties of existing cultivars. Ideotypes constitute selection targets for breeding. The procedure consists of four steps: (1) Bayesian calibration of model parameters using data from cultivar trials, (2) Estimating genetic variation for parameters from the combination of cultivar-specific calibrated parameter distributions, (3) Identifying parameter combinations that meet breeding objectives, (4) Translating model results to practice, i.e. interpreting parameters in terms of practical selection criteria. We show an application of the procedure to timothy (Phleum pratense L.) as grown in different regions of Norway.
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van Lingen, H. J., Plugge, C. M., Fadel, J. G., Kebreab, E., Bannink, A., & Dijkstra, J. (2016). Correction: Thermodynamic Driving Force of Hydrogen on Rumen Microbial Metabolism: A Theoretical Investigation (Vol. 11(12)).
Abstract: [This corrects the article DOI: 10.1371/journal.pone.0161362.].
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van der Linden, A., van de Ven, G. W. J., Oosting, S. J., van Ittersum, M. K., & de Boer, I. J. M. (2016). Exploring grass-based beef production under climate change by integration of grass and cattle growth models. Advances in Animal Biosciences, 7(03), 224–226.
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