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| Döring, Thomas; Knapp, Samuel; Kovacs, Geza; Wolfe, Martin. |
| In evolutionary plant breeding, crop populations with a high level of genetic diversity are subjected to the forces of natural selection. In a cycle of sowing and re-sowing seed from the plant population year after year, those plants favored under prevailing growing conditions are expected to contribute more seed to the next generation than plants with lower fitness. Thus, evolving crop populations have the capability of adapting to the conditions under which they are grown. Here we review the current state of research in evolutionary plant breeding and concentrate on the ability of evolving plant populations to deal with stressful, variable, and unpredictable environments. This resilience of evolving plant populations is seen as a major advantage under... |
| Tipo: Journal paper |
Palavras-chave: Breeding; Genetics and propagation. |
| Ano: 2011 |
URL: http://orgprints.org/19770/1/2011.Doring_et_al.Evo%2DBreed.Sust.pdf |
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| Baresel, Jörg Peter; Backes, Gunter; Bülow, L.; Finckh, Maria R.; Frese, L.; Knapp, Samuel; Möller, Detlev; Reents, Hans Jürgen; Siegmeier, Torsten; Simon, R.; Weedon, Odette. |
| Increasing yield instability due to climate change could be mitigated by higher interand intra crop diversity. During the course of the INSUSFAR project, several questions regarding the impact of more diverse crops on agricultural systems are adressed. To answer these questions, varieties, mixtures, and composite cross populations of wheat will be investigated in field experiments and on-farm. Based on the results, the socio-economic, ecological and yield performance of these varieties and the extent of genetic changes in genetically diverse populations will be tested. In addition, effects of plant breeding on the adaption of varieties to different input levels will be analysed. |
| Tipo: Conference paper, poster, etc. |
Palavras-chave: Cereals; Pulses and oilseeds Breeding; Genetics and propagation. |
| Ano: 2017 |
URL: http://orgprints.org/31618/1/Innovative%20Approaches%20to%20Optimize%20Genetic%20Diversity%20for.pdf |
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