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Featured 2015 Book Chapter Characterising the crop environment – nature, significance and applicationsChenu, Karine (2015). Characterising the crop environment – nature, significance and applications. Crop physiology: applications for genetic improvement and agronomy. (pp. 321-348) edited by Victor O. Sadras and Daniel F. Calderini. London, United Kingdom: Academic Press. doi: 10.1016/B978-0-12-417104-6.00013-3 |
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2023 Book Chapter Modelling the impact of climate change on agriculture in Australia and OceaniaWang, Enli, Teixeira, Edmar, Zheng, Bangyou, Hughes, Neal, Chenu, Karine, Hunt, James, Ghahramani, Afshin, Potgieter, Andries B., Zhu, Junqi, Cichota, Rogerio and Huth, Neil (2023). Modelling the impact of climate change on agriculture in Australia and Oceania. Modelling climate change impacts on agricultural systems. (pp. 481-540) edited by Claas Nendel. Cambridge, United Kingdom: Burleigh Dodds Science Publishing. doi: 10.19103/as.2022.0115.17 |
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2021 Book Chapter Using crop modelling to improve chickpea adaptation in variable environmentsChauhan, Yashvir, Chenu, Karine and Williams, Rex (2021). Using crop modelling to improve chickpea adaptation in variable environments. Genetic enhancement in major food legumes: advances in major food legumes. (pp. 231-254) edited by Kul Bhushan Saxena, Rachit K. Saxena and Rajeev K. Varshney. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-030-64500-7_8 |
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2021 Book Chapter BarleyMiralles, Daniel J., Abeledo, L. Gabriela, Prado, Santiago Alvarez, Chenu, Karine, Serrago, Román A. and Savin, Roxana (2021). Barley. Crop Physiology Case Histories for Major Crops. (pp. 164-195) edited by Victor O. Sadras and Daniel F. Calderini. London, United Kingdom: Elsevier. doi: 10.1016/B978-0-12-819194-1.00004-9 |
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2019 Book Chapter The use of hyperspectral proximal sensing for phenotyping of plant breeding trialsPotgieter, Andries B., Watson, James, George-Jaeggli, Barbara, McLean, Gregory, Eldridge, Mark, Chapman, Scott C., Laws, Kenneth, Christopher, Jack, Chenu, Karine, Borrell, Andrew, Hammer, Graeme and Jordan, David R. (2019). The use of hyperspectral proximal sensing for phenotyping of plant breeding trials. Fundamentals, sensor systems, spectral libraries, and data mining for vegetation. (pp. 127-148) edited by Prasad S. Thenkabail, John G. Lyon and Alfredo Huete. Boca Raton, FL United States: CRC Press. doi: 10.1201/9781315164151-5 |
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2018 Book Chapter The use of hyperspectral proximal sensing for phenotyping of plant breeding trialsPotgieter, Andries B., Watson, James, George-Jaeggli, Barbara, McLean, Gregory, Eldridge, Mark, Chapman, Scott C., Laws, Kenneth, Christopher, Jack, Chenu, Karine, Borrell, Andrew, Hammer, Graeme L. and Jordan, David R. (2018). The use of hyperspectral proximal sensing for phenotyping of plant breeding trials. Fundamentals, sensor systems, spectral libraries, and data mining for vegetation. (pp. 127-147) Boca Raton, FL, United States: CRC Press. doi: 10.1201/9781315164151-5 |
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2015 Book Chapter Model assisted phenotyping and ideotype designMartre, Pierre, Quilot-Turion, Benedicte, Luquet, Delphine, Ould-Sidi Memmah, Mohammed-Mahmoud, Chenu, Karine and Debaeke, Philippe (2015). Model assisted phenotyping and ideotype design. Crop physiology: applications for genetic improvement and agronomy. (pp. 349-373) edited by Victor Sadras and Daniel Calderini. London, United Kingdom: Academic Press. doi: 10.1016/B978-0-12-417104-6.00014-5 |
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2007 Book Chapter An architectural approach to investigate maize response to low temperatureChenu K, Fournier C, Andrieu B and Giauffret C (2007). An architectural approach to investigate maize response to low temperature. Scale and complexity in plant systems research : gene-plant-crop relations. (pp. 201-210) Dordrecht, Netherlands: Springer - Netherlands. |
