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Advances in Breeding for Mixed Cropping – Incomplete Factorials and the Producer/Associate Concept

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
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
H2020 or FP7 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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