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Deciphering wheat grain protein content : Genetıc analysis of temporal dynamic nitrogen content resorption in flag leaves

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HAL Id: hal-02803773

https://hal.inrae.fr/hal-02803773

Submitted on 5 Jun 2020

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Deciphering wheat grain protein content : Genetıc analysis of temporal dynamic nitrogen content

resorption in flag leaves

Ingrid Vilmus, Pierre Roumet, Jacques David, Laurent Gervais, Martin Ecarnot

To cite this version:

Ingrid Vilmus, Pierre Roumet, Jacques David, Laurent Gervais, Martin Ecarnot. Deciphering wheat grain protein content : Genetıc analysis of temporal dynamic nitrogen content resorption in flag leaves. ICQG2012 : Annual International Conference of Quantitative Genetics, Jun 2012, Edimbourgh, United Kingdom. 1 p., 2012. �hal-02803773�

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Sta s cal Analysis

For each plant, we obtained 30-40 spectra that were converted into value of nitrogen con-tent thanks to a robust calibra on of the device (R²=0.93, Ecarnot and Roumet, submi ed). The curves were modelled using a non linear method based on a Gauss Newton algorithm.

Deciphering wheat grain protein content

Gene c analysis of temporal dynamic nitrogen content resorp on in flag leaves

Ingrid Vilmus**, Pierre Roumet*, Jacques David*, Laurent Gervais**, Mar n Ecarnot*

*INRA—UMR Améliora on Géné que et Adapta on des Plantes, Campus de la Gaillarde, 2 place Pierre Viala, 34060 Montpellier Cedex 02, France ** Syngenta Seeds— 12 chemin de l’Hobbit BP 27, 31790 Saint Sauveur, France

contact : vilmus@supagro.inra.fr

Grain protein content (GPC) is a targeted trait in breeding for durum wheat since it has a strong impact in industrial transforma on. However, its improvement is compromised by the complexity of its gene c architecture (many QTL have been highlighted) and by a nega ve correla on with the yield. Nevertheless, in view of the necessity to feed more and more people, reducing the fer

liza-on inputs and preserving our envirliza-onment, the gene c improvement of the GPC appears as a good way to maintain the product’s quality and to ensure a good produc liza-on to farmers.

In response to this economical and environmental context, we propose to decipher this trait and to focus on an underlying mechanism to the elabora on of the GPC, the nitrogen remobiliza on in the flag leaf.

Introduc on

Material and Method

Phenotyping

We phenotyped 282 Rils coming from a half diallel (4 parental lines, lloyd, neodur,

ixos and primadur) in a greenhouse. We used a portable near infrared

spectrome-ter (Labspec®) covering a wide range of wavelengths (350 to 2500 nm) to measure

the flag leaves of our popula on during the grain filling period, from anthesis to

maturity.

Results

A mixed model was defined to es mate the variance components and to predict the gene c values (BLUP) using the ASReml-R package (Butler et al., 2007). The block was considered as fixed and the genotype as random with the pedigree associated. The gene c correla ons between two traits were es mated with bivariate models as the ra o between the gene c covariance for a pair of traits and the product of their own addi ve variance. The phenotypic correla ons between traits were es mated with the pearson coefficient between pairs of traits. The values of indi-vidual heritability were calculated as the addi ve variance divides by the sum of the addi ve variance and the residual variance for each trait.

Fresh leaf dry leaf

The spectra obtained of a fresh flag leaf at anthesis and a dry flag leaf at maturity t1 t0 Nant Nmat

Conclusion

correla on (pearson) between traits (blups)

t0 t1 Nant Nmat Area nbGr TKW GPC GPW h²

Gene c correla on (rG) t0 0.3152 0.3368 0.0049 0.1291 -0.0006 0.4845 -0.2130 0.4709 0.3278 t1 0.3856 0.2193 0.0502 0.1415 -0.1004 0.3622 1.27 E-0.5 0.3651 0.1730 Nant 0.4671 0.2319 0.2283 -0.1448 -0.1045 0.4274 -0.0682 0.3190 0.3975 Nmat -0.2453 -0.2553 0.2090 0.1763 -0.4530 0.2507 0.4188 0.0058 0.2128 Area 0.0361 -0.1131 -0.2617 -0.1475 0.0029 0.4105 0.3379 0.6195 0.3150 nbGr 0.0931 0.0334 -0.0434 -0.4877 0.1869 -0.5372 -0.2272 0.2568 0.4783 YKW 0.6004 0.4056 0.4485 0.0933 0.3341 -0.4446 -0.0528 0.5579 0.5054 GPC -0.4456 -0.4353 -0.2027 0.3533 0.1589 -0.3103 -0.2075 0.1891 0.3731 GPW 0.5901 0.3519 0.3254 -0.3632 0.5816 0.4208 0.5385 -0.1652 0.4284 t0 me of senescence ini a on t1 me of senescence ending Nant N content in the flag leaf at anthesis Nmat N content in the flag leaf at maturity

Area Flag leaf area at anthesis nbGr Number of grain in the spike

TKW Thousand kernel weigth GPC Grain Protein Content in the spike GPW Grain protein weigth in the spike

-1.5 -1 -0.5 0 0.5 1 1.5 t0 t1 Nant Nmat Area nbGr P1000G GPC qprot ixos lloyd neodur primadur

6B Area 6B Nmat 3B-2 Nant

R² = 0.106 R² = 0.096 R² = 0.051

î

We used a new device for phenotyping presen ng the advantage to be non destruc ve for the plants and allowed us to follow the remobiliza on of nitrogen in the flag leaf of a durum wheat

popula on.

î

The trait chosen is an underlying mechanism of the GPC elabora on. Heritabili es of its components being of the same order of magnitude than the GPC, the remobilisa on of nitrogen could

be improved as well as the GPC but with the advantage to be combined with other underlying traits for GPC as the efficiency of nitrogen absorp on for example.

î

The me of remobiliza on t0 and t1 are nega vely correlated with GPC but posi vely with qprot. It is relevant with the nega ve correla on exis ng between GPC and the yield since a late

re-mobiliza on increase the yield but by a dilu on effect, reduce the GPC but not the protein weight in the spike.

Spectrometer calibra on

The curve obtained

Variables coming from the curves and other variables measured at anthesis or at maturity

î

Genitors had contrasted mean values for

the studied traits (standardized values), es-pecially ixos and primadur

î

For most of the traits, the gene c correla on was stronger than the phenotypic correla on with

some excep ons.

î

The values of heritability were low to moderate, some traits related to senescence presented the

same order of magnitude than the one of the GPC or GPW.

î

3 QTL iden fied based on the BLUP, 2

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