Haug, Benedikt; Messmer, Monika; Enjalbert, Jérôme; Goldringer, Isabelle; Forst, Emma; Flutre, Timothée; Mary-Huard, Tristan and Hohmann, Pierre (2021) Advances in Breeding for Mixed Cropping – Incomplete Factorials and the Producer/Associate Concept. Frontiers in Plant Sciences, 11, pp. 1-10.
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Document available online at: https://doi.org/10.3389/fpls.2020.620400
Summary
Mixed cropping has been suggested as a resource-efficient approach to meet high produce demands while maintaining biodiversity and minimizing environmental impact. Current breeding programs do not select for enhanced general mixing ability (GMA) and neglect biological interactions within species mixtures. Clear concepts and efficient experimental designs, adapted to breeding for mixed cropping and encoded into appropriate statistical models, are lacking. Thus, a model framework for GMA and SMA (specific mixing ability) was established. Results of a simulation study showed that an incomplete factorial design combines advantages of two commonly used full factorials, and enables to estimate GMA, SMA, and their variances in a resource-efficient way. This model was extended to the Producer (Pr) and Associate (As) concept to exploit additional information based on fraction yields. It was shown that the Pr/As concept allows to characterize genotypes for their contribution to total mixture yield, and, when relating to plant traits, allows to describe biological interaction functions (BIF) in a mixed crop. Incomplete factorial designs show the potential to drastically improve genetic gain by testing an increased number of genotypes using the same amount of resources. The Pr/As concept can further be employed to maximize GMA in an informed and efficient way. The BIF of a trait can be used to optimize species ratios at harvest as well as to extend our understanding of competitive and facilitative interactions in a mixed plant community. This study provides an integrative methodological framework to promote breeding for mixed cropping.
EPrint Type: | Journal paper |
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Keywords: | mixed cropping, intercropping, breeding, general mixing ability, producer/associate concept, incomplete factorial design, biological interaction, simulations, Abacus, FiBL2006504 |
Agrovoc keywords: | Language Value URI English mixed cropping http://aims.fao.org/aos/agrovoc/c_4871 English intercropping http://aims.fao.org/aos/agrovoc/c_3910 English breeding http://aims.fao.org/aos/agrovoc/c_49902 UNSPECIFIED general mixing ability UNSPECIFIED UNSPECIFIED producer/associate concept UNSPECIFIED UNSPECIFIED incomplete factorial designs UNSPECIFIED English biological interaction http://aims.fao.org/aos/agrovoc/c_49896 English simulation http://aims.fao.org/aos/agrovoc/c_5209 |
Subjects: | Crop husbandry > Crop combinations and interactions Crop husbandry > Production systems > Cereals, pulses and oilseeds Crop husbandry > Breeding, genetics and propagation |
Research affiliation: | Switzerland > FiBL - Research Institute of Organic Agriculture Switzerland > Crops > Seeds and breeding > Plant breeding Switzerland > FiBL - Research Institute of Organic Agriculture Switzerland > Crops > Anbautechnik > Mixed cropping European Union > Horizon 2020 > Remix |
Horizon Europe or H2020 Grant Agreement Number: | 727217 |
Related Links: | https://data.inrae.fr/dataset.xhtml?persistentId=doi:10.15454/33S25W, https://data.inrae.fr/dataset.xhtml?persistentId=doi:10.15454/VKKIBU |
Deposited By: | Haug, Benedikt |
ID Code: | 38819 |
Deposited On: | 08 Feb 2021 10:31 |
Last Modified: | 16 Feb 2021 14:55 |
Document Language: | English |
Status: | Published |
Refereed: | Peer-reviewed and accepted |
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