Modelling nitrogen partitioning to filling seeds in pea (Pisum sativum L.) : a tool to predict seed N concentration

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Modelling nitrogen partitioning to filling seeds in pea (Pisum sativum L.) : a tool to predict seed N

concentration

Annabelle Larmure, Caroline Surleau, Nathalie G. Munier-Jolain, Vincent Faloya

To cite this version:

Annabelle Larmure, Caroline Surleau, Nathalie G. Munier-Jolain, Vincent Faloya. Modelling nitrogen

partitioning to filling seeds in pea (Pisum sativum L.) : a tool to predict seed N concentration. 5th

European Conference on Grain Legumes and ICLGG, Jun 2004, Dijon, France. 85, 2004, Legumes for

the benefits of agriculture nutrition and the environment : their genomics, their products, and their

improvement. �hal-01874604�

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0 5 10 15 20 25 30 35 40

N available per seed (mg N seed ^-1 ) R a te o f in d iv id u a l s e e d N a c c u m u la ti o n (µ g N s e e d -1 d e g re e -d a y -1 )

P2 Frisson Solara

Modelling nitrogen partitioning to filling seeds in pea : a tool to predict seed N concentration

Annabelle LARMURE, Caroline SURLEAU, Vincent FALOYA and Nathalie MUNIER-JOLAIN Unité de Génétique et d’Ecophysiologie des Légumineuses, INRA Dijon, FRANCE

23 independent field situations

four genotypes Baccara, Solara, Frisson

P2 (a non-nodulating mutant of Frisson)

 various N nutrition levels

 3 years in 3 locations in France Dijon, Roupy and Epehy

What the crop model component simulating N partitioning offers :

 A tool to improve the understanding of “self destruction” processes during the seed filling period in pea (3)

 A valuable part of a larger model simulating pea yield and seed quality The estimation of seed N concentration by the crop

model component is good …

 high coefficient of determination (r ² = 0.82)

 low root of the mean squared error of prediction (MSEP = 2.7 mg g ^-1 )

… but need precise input variables ; it could also be further improved by integrating stresses effects.

Evaluation of the crop model component

A dynamic crop model component simulating N partitioning was developed in order to predict

seed N concentration at harvest.

Calculation are done for a mean stem for a one day period during the seed filling period (1)

(1) Larmure A., Munier-Jolain N. G. (2004) Field Crops R. 85, 135-148.

(2) Lhuillier-Soundélé A., Munier-Jolain N.G., Ney B. (1999) Crop Sci. 39, 1741-1748.

(3) Sinclair T.R. and De Witt C.T. (1976) Agron.

J. 68,319-324.

The rate of seed N accumulation is estimated as a function of the plant N available per seed (2).

The parameter “maximum rate of seed N accumulation” (SNRmax), has been demonstrated to

vary among genotypes (1) Seed nitrogen concentration is one of the main quality criteria in grain legume crops.

How can be seed N concentration at harvest simulated in pea (Pisum sativum L.) ?

genotypes

SNRmax

0 10 20 30 40 50

0 10 20 30 40 50

Observed seed N concentration (mg g ^-1 ) Si m u la te d s e e d N c o n c e n tr a ti o n ( m g g -1 ) Frisson, P2

Solara Baccara + - 15 % lines 1:1 line

r ² =0.82 MSEP Mean

temperature

Seed filling Sub-model

Sources Sub-model

In p u ts M od e l f u n ct ion s O u tp u ts

Seed N accumulation

rate

Seed N content at each node

Seed N concentration

Vegetative N concentration Available N

N availability

Exogenous N Plant N concentration Seed

number per node Development

parameters

Seed dry weight at each node

Plant dry weight

Remobilizable N

Vegatative parts N content

Vegetative parts dry weight Number of currently

filling seeds Seed growth

rate

2004

Photo

UNIP