The Global Assessment of Oilseed Brassica Crop Species Yield, Yield Stability and the Underlying Genetics.

Brassica genotype and phenotype mustard oilseed security yield

Journal

Plants (Basel, Switzerland)
ISSN: 2223-7747
Titre abrégé: Plants (Basel)
Pays: Switzerland
ID NLM: 101596181

Informations de publication

Date de publication:
17 Oct 2022
Historique:
received: 05 09 2022
revised: 08 10 2022
accepted: 09 10 2022
entrez: 27 10 2022
pubmed: 28 10 2022
medline: 28 10 2022
Statut: epublish

Résumé

The global demand for oilseeds is increasing along with the human population. The family of Brassicaceae crops are no exception, typically harvested as a valuable source of oil, rich in beneficial molecules important for human health. The global capacity for improving Brassica yield has steadily risen over the last 50 years, with the major crop Brassica napus (rapeseed, canola) production increasing to ~72 Gt in 2020. In contrast, the production of Brassica mustard crops has fluctuated, rarely improving in farming efficiency. The drastic increase in global yield of B. napus is largely due to the demand for a stable source of cooking oil. Furthermore, with the adoption of highly efficient farming techniques, yield enhancement programs, breeding programs, the integration of high-throughput phenotyping technology and establishing the underlying genetics, B. napus yields have increased by >450 fold since 1978. Yield stability has been improved with new management strategies targeting diseases and pests, as well as by understanding the complex interaction of environment, phenotype and genotype. This review assesses the global yield and yield stability of agriculturally important oilseed Brassica species and discusses how contemporary farming and genetic techniques have driven improvements.

Identifiants

pubmed: 36297764
pii: plants11202740
doi: 10.3390/plants11202740
pmc: PMC9610009
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Subventions

Organisme : Australian Research Council
ID : DP210100296
Organisme : Australian Research Council
ID : DP200100762

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Auteurs

Jaco D Zandberg (JD)

School of Biological Sciences, University of Western Australia, Perth, WA 6009, Australia.

Cassandria T Fernandez (CT)

School of Biological Sciences, University of Western Australia, Perth, WA 6009, Australia.

Monica F Danilevicz (MF)

School of Biological Sciences, University of Western Australia, Perth, WA 6009, Australia.

William J W Thomas (WJW)

School of Biological Sciences, University of Western Australia, Perth, WA 6009, Australia.

David Edwards (D)

Center for Applied Bioinformatics, School of Biological Sciences, University of Western Australia, Perth, WA 6009, Australia.

Jacqueline Batley (J)

School of Biological Sciences, University of Western Australia, Perth, WA 6009, Australia.

Classifications MeSH