ORBi: Mertens Cécile - Agronomical factors influencing the legumin/ vicilin ratio in pea (Pisum sativum L.) seeds

Reference : Agronomical factors influencing the legumin/ vicilin ratio in pea (Pisum sativum L.) seeds


	Document type :	Scientific journals : Article
	Discipline(s) :	Life sciences : Agriculture & agronomy Life sciences : Food science
	To cite this reference:	http://hdl.handle.net/2268/105201

Title :	Agronomical factors influencing the legumin/ vicilin ratio in pea (Pisum sativum L.) seeds
Language :	English
Alternative title :	[fr] Facteurs agronomiques influençant le ratio légumine/viciline dans les graines de pois (Pisum sativum L.)
Author, co-author :	Mertens, Cécile [Université de Liège - ULg > Chimie et bio-industries > Laboratoire des Sciences des aliments et formulation >]
	Dehon, Lydie [ > > ]
	Bourgeois, Audrey [ > > ]
	Verhaeghe-Cartrysse, Christine [Université de Liège - ULg > asbl APPO > > >]
	Blecker, Christophe [Université de Liège - ULg > Chimie et bio-industries > Laboratoire des Sciences des aliments et formulation >]
Publication date :	2012
Journal title :	Journal of the Science of Food and Agriculture
Publisher :	John Wiley & Sons, Inc
Audience :	International
ISSN :	0022-5142
City :	Chichester
Country :	United Kingdom
Keywords :	[en] pea ; proteins ; variety ; location ; climatic conditions ; seeding density
Abstract :	[en] BACKGROUND: Many research studies have investigated the impact of agronomical factors on the protein content of pea (Pisum sativum). This study aimed to establish if a correlation exists between protein content and legumin/vicilin (L/V) ratio in pea seeds and to identify agronomical factors that have an impact on this ratio. RESULTS: The L/V ratio was positively correlated with protein content (r = 0.58, P ≤ 0.01), but no linear regression was applicable (adjusted R² = 0.31). Both variety and cultivation year had a highly significant effect on the ratio (P < 0.001). The interaction between these two factors was also highly significant (P < 0.001), some varieties being less sensitive to climatic conditions than others. Cultivation location had a highly significant effect (P < 0.01). There was no interaction between variety and location. Seeding density had a highly significant effect on the ratio (P < 0.01),with a saturation effect above 60 seeds/m². CONCLUSION: Further studies should establish if a linear regression model can be applied to pea varieties independently. Varieties with a stable L/V ratio can prove to be useful in the food industry. Other agronomical factors (soil type and seeding density) should be considered for the production of pea seeds with a specific L/V ratio.
Permalink :	http://hdl.handle.net/2268/105201
DOI :	10.1002/jsfa.4738
Other URL :	http://onlinelibrary.wiley.com/doi/10.1002/jsfa.4738/pdf

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