Numéro |
OCL
Volume 32, 2025
Diversity of Plant Proteins extracted from Oil & Protein Crop / Diversité des protéines végétales issues des oléoprotéagineux
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Numéro d'article | 16 | |
Nombre de pages | 13 | |
DOI | https://doi.org/10.1051/ocl/2025008 | |
Publié en ligne | 4 juin 2025 |
- Aguirrezábal L., Martre P., Pereyra-Irujo G., Echarte M.M., Izquierdo N.. 2015. Improving grain quality: ecophysiological and modeling tools to develop management and breeding strategies. In: Sadras V.O. &, Calderini D.F., eds. Crop physiology: applications for genetic improvement and agronomy. London (UK): Academic Press, 2015, pp 423–465. https://doi.org/10.1016/B978-0-12-417104-6.00017-0. [Google Scholar]
- Alahdadi I., Oraki H., Parhizkar Khajani F.. 2011. Effect of water stress on yield and yield components of sunflower hybrids. Afr J Biotechnol 10: 6504–6509. https://doi.org/10.5897/AJB11.035. [Google Scholar]
- Anastasi U., Santonoceto C., Giuffre A.M., Sortino O., Gresta F., Abbate V.. 2010. Yield performance and grain lipid composition of standard and oleic sunflower as affected by water supply. Field Crops Res 119: 145–153. https://doi.org/10.1016/j.fcr.2010.07.001. [CrossRef] [Google Scholar]
- Andrianasolo F.N., Casadebaig P., Maza E., Champolivier L., Maury P., Debaeke P.. 2014. Prediction of sunflower grain oil concentration as a function of variety, crop management and environment using statistical models. Eur J Agron 54: 84–96. https://doi.org/10.1016/j.eja.2013.12.002. [CrossRef] [Google Scholar]
- Andrianasolo F.N., Debaeke P., Champolivier L., Maury P.. 2016. Analysis and modelling of the factors controlling seed oil concentration in sunflower: a review. OCL 23(2): D206. https://doi.org/10.1051/ocl/2016004. [CrossRef] [EDP Sciences] [Google Scholar]
- Arrutia F., Binner E., Williams P., Waldron K.W.. 2020. Oilseeds beyond oil: press cakes and meals supplying global protein requirements. Trends Food Sci Technol 100: 88–102. https://doi.org/10.1016/j.tifs.2020.03.044. [CrossRef] [Google Scholar]
- Asseng S., Milroy S.P.. 2006. Simulation of environmental and genetic effects on grain protein concentration in wheat. Eur J Agron 25: 119–128. https://doi.org/10.1016/j.eja.2006.04.005. [CrossRef] [Google Scholar]
- Attia Z., Pogoda C.S., Reinert S., Kane N.C., Hulke B.S.. 2021. Breeding for sustainable oilseed crop yield and quality in a changing climate. Theor Appl Genet 134: 1817–1827. https://doi.org/10.1007/s00122-021-03770-w. [CrossRef] [PubMed] [Google Scholar]
- Bauchot A., Merrien A.. 1988. Teneur en protéines des graines de tournesol et état protéique foliaire: revue bibliographique. Inf. Tech. CETIOM 102: 18–28. [Google Scholar]
- Beillouin B., Leclère M., Barbu C.M., Bénézit M., Trépos R., Gauffreteau A., Jeuffroy M.H. 2018. Azodyn-Barley, a winter-barley crop model for predicting and ranking genotypic yield, grain protein and grain size in contrasting pedoclimatic conditions. Agr For Meteorol 262: 237–248. https://doi.org/10.1016/j.agrformet.2018.06.002. [CrossRef] [Google Scholar]
- Bouchereau A., Cloassais-Bernard N., Bensaoud A., Leport L., Renard M.. 1996. Water stress effects on rapeseed quality. Eur J Agron 5: 19–30. https://doi.org/10.1016/S1161-0301(96)02005-9. [CrossRef] [Google Scholar]
- Cappelli G., Zanetti F., Ginaldi F., Righini D., Monti A., Bregaglio S.. 2019. Development of a process-based simulation model of camelina seed and oil production: a case study in Northern Italy. Ind Crop Prod 134: 234–243. https://doi.org/10.1016/j.indcrop.2019.03.046. [CrossRef] [Google Scholar]
- Carré P.. 2021. Reinventing the oilseeds processing to extract oil while preserving the protein. OCL 28: 13. https://doi.org/10.1051/ocl/2021001. [CrossRef] [EDP Sciences] [Google Scholar]
- Champolivier L., Merrien A.. 1996. Effects of water stress applied at different growth stages to Brassica napus L. var. oleifera on yield, yield components and seed quality. Eur J Agron 5: 153–160. https://doi.org/10.1016/S1161-0301(96)02004-7. [CrossRef] [Google Scholar]
- Champolivier L., Debaeke P., Merrien A.. 2011. Pourquoi irriguer le tournesol, une culture réputée tolérante à la sécheresse ? Innov. Agron. 14: 151–164. https://doi.org/10.17180/321k-he38. [Google Scholar]
- Champolivier L., Debaeke P., Thibierge J., 2011. Construire des stratégies de production adaptées aux débouchés à l’échelle du bassin de collecte. Innov Agron 14: 39–57. https://doi.org/10.17180/g5rg-6560. [Google Scholar]
- Chen M., Zhao W., Meng Y., Chen B., Wang Y., Zhou Z., Oosterhuis D.M. 2015. A model for simulating the cotton (Gossypium hirsutum L.) embryo oil and protein accumulation under varying environmental conditions. Field Crop Res 183: 79–91. http://dx.doi.org/10.1016/j.fcr.2015.07.011. [CrossRef] [Google Scholar]
- Chimenti C.A., Hall A.J., Lopez M.S.. 2001. Embryo-growth rate and duration in sunflower as affected by temperature. Field Crops Res 69: 81–88. http://dx.doi.org/10.1016/S0378-4290(00)00135-0. [CrossRef] [Google Scholar]
- Debaeke P., Izquierdo N.G.. 2021. 16 - Sunflower. In: Sadras V.O., Calderini D.F., eds. Crop physiology: case histories for major crops. London (UK): Academic Press, pp 483–517. [Google Scholar]
- Diepenbrock W., Long M., Feil B.. 2001. Yield and quality of sunflower as affected by row orientation, row spacing and plant density. Bodenkultur 52: 29–36. [Google Scholar]
- Engqvist G.M., Becker H.C.. 1991. Relative importance of genetic parameters for selecting between oilseed rape crosses. Heriditas 115: 25–30. https://doi.org/10.1111/j.1601-5223.1991.tb00342.x. [Google Scholar]
- Fick G.N.. 1975. Heritability of oil concentration in sunflowers. Crop Sci 15: 77–78. https://doi.org/10.2135/cropsci1975.0011183X001500010022x. [CrossRef] [Google Scholar]
- Fick G.N.. 1978. Sunflower breeding and genetics. In: Carter J.F., ed. Sunflower science and technology. Madison, WI, USA: Agronomy Monograph 19, ASA-CSSA-SSSA, pp. 279–337. [Google Scholar]
- Fila G., Montanari M., Maestrini C., Bagatta M., 2024. Bayesian analysis of cultivar and climate effects on seed and oil production in linseed. Ind Crop Prod 218: 118883. https://doi.org/10.1016/j.indcrop.2024. 118883. [CrossRef] [Google Scholar]
- Flagella Z., Rotunno T., Tarantino E., Di Caterina R., De Caro A.. 2002. Changes in seed yield and oil fatty acid composition of high oleic sunflower (Helianthus annuus L) hybrids in relation to the sowing date and the water regime. Eur J Agron 17: 221–230. https://doi.org/10.1016/S1161-0301(02)00012-6. [CrossRef] [Google Scholar]
- Geleta S., Baltensperger D.D., Binford G.D., Miller J.F.. 1997. Sunflower response to nitrogen and phosphorus in wheat-fallow cropping systems. J Prod Agric 10: 466–472. https://doi.org/10.2134/jpa1997.0466. [CrossRef] [Google Scholar]
- GEPPA. 1963. Travaux de la commission cartographie. Annexe 4. Expression de la texture des sols, détermination et dénomination de classes en relation avec un diagramme granulométrique. 5 p. [Google Scholar]
- Goksoy A.T., Turan Z.M., Acikgoz E.. 1998. Effect of planting date and plant population on seed and oil yields and plant characteristics in sunflower (Helianthus annuus L). Helia 21(28): 107–115. [Google Scholar]
- Gilardelli C., Stella T., Frasso N., Cappelli G., Bregaglio S., Chiodini M.E., Scaglia B., Confalonieri R. 2016. WOFOST-GTC: a new model for the simulation of winter rapeseed production and oil quality. Field Crop Res 197: 125–132. http://dx.doi.org/10.1016/j.fcr.2016.07. 013. [CrossRef] [Google Scholar]
- Grami B., Baker R.J., Stefansson B.R.. 1977. Genetics of protein and oil content in summer rape: heritability number of effective factors and correlations. Can J Plant Sci 57: 937–943. https://doi.org/10.4141/cjps77-134. [CrossRef] [Google Scholar]
- Hara P., Piekutowska M., Niedbała G.. 2022. Prediction of protein content in pea (Pisum sativum L.) seeds using artificial neural networks. Agriculture 13: 29. https://doi.org/10.3390/agriculture13010029. [CrossRef] [Google Scholar]
- Hernandez C.M., Correndo A., Kyveryga P., Prestholt A., Ciampitti I.A.. 2023. On-farm soybean seed protein and oil prediction using satellite data. Comput Electron Agric 212: 108096. https://doi.org/10.1016/j.compag.2023.108096. [CrossRef] [Google Scholar]
- Kirkegaard J.A., Lilley J.M., Brill R.D., Ware A.H., Walela C.K.. 2018. The critical period for yield and quality determination in canola (Brassica napus L.). Field Crop Res 222: 180–188. https://doi.org/10.1016/j.fcr.2018.03.018. [CrossRef] [Google Scholar]
- Kirkegaard J.A., Lilley J.M., Berry P.M., Rondanini D.P.. 2021. 17 - Canola. In: Sadras V.O., Calderini D.F., eds. Crop physiology: case histories for major crops. London (UK): Academic Press, pp. 519–549. [Google Scholar]
- Longmire A., Poblete T., Hornero A., Chen D., Zarco-Tejada P.. 2023. Estimation of grain protein content in commercial bread and durum wheat fields via traits inverted by radiative transfer modelling from Sentinel-2 timeseries. ISPRS Journal of Photogrammetry and Remote Sensing 206: 49–62. https://doi.org/10.1016/j.isprsjprs.2023.10. 018. [CrossRef] [Google Scholar]
- Martre P., Jamieson P.D., Semenov M.A., Zyskowski R.F., Porter J.R., Triboi E.. 2006. Modelling protein content and composition in relation to crop nitrogen dynamics for wheat. Eur J Agron 25: 138–154. https://doi.org/10.1016/j.eja.2006.04.007. [CrossRef] [Google Scholar]
- Ozer H., Polat T., Ozturk E.. 2004. Response of irrigated sunflower (Helianthus annuus L.) hybrids to nitrogen fertilization: growth, yield and yield components. Plant Soil Environ 50: 205–211. https://doi.org/10.17221/4023-PSE. [CrossRef] [Google Scholar]
- Pan J., Zhu Y., Cao W., Dai T., Jiang D.. 2006. Predicting the protein content of grain in winter wheat with meteorological and genotypic factors. Plant Prod Sci 9: 3, 323–333. https://doi.org/10.1626/pps.9.323. [CrossRef] [Google Scholar]
- Peltonen-Sainio P., Jauhiainen L., Hyövelä M., Nissilä E.. 2011. Trade-off between oil and protein in rapeseed at high latitudes: means to consolidate protein crop status? Field Crops Res 121: 248–255. https://doi.org/10.1016/j.fcr.2010.12.010. [CrossRef] [Google Scholar]
- Pereyra-Irujo G.A., Aguirrezábal LAN. 2007. Sunflower yield and oil quality interactions and variability: Analysis through a simple simulation model. Agric For Meteor 143: 252–265. https://doi.org/10.1016/j.agrformet.2007.01.001. [CrossRef] [Google Scholar]
- Petcu E., Babeanu N., Popa O., Partal E., Pricop S.M.. 2010. Effect of planting date, plant population and genotype on oil concentration and fatty acid composition in sunflower. Roman Agric Res 27: 53–57. [Google Scholar]
- Pilorgé E.. 2020. Sunflower in the global vegetable oil system: situation, specificities and perspectives. OCL 27: 34. https://doi.org/10.1051/ocl/2020028. [EDP Sciences] [Google Scholar]
- Porter M.A., Paulsen G.M., Feyerherm A.M., Milliken G.M.. 1982. Prediction of wheat grain protein content from climatic and edaphic variables. Agron J 74: 1029–1032. https://doi.org/10.2134/agronj1982.00021962007400060022x. [CrossRef] [Google Scholar]
- Roche J.. 2005. Composition de la graine de tournesol (Helianthus annuus L.) sous l’effet conjugué des contraintes agrienvironnementales et des potentiels variétaux, Ph.D. thesis, INP Toulouse. [Google Scholar]
- Santonoceto C., Anastasi U., Riggi E., Abbate V.. 2003. Accumulation dynamics of dry matter, oil and major fatty acids in sunflower seeds in relation to genotype and water regime. Ital J Agron 7: 3–14. [Google Scholar]
- Saruta K., Hirai Y., Tanaka K., Inoue E., Okayasu T., Mitsuoka M.. 2013. Predictive models for yield and protein content of brown rice using support vector machine. Comput Electron Agric 99: 93–100. http://dx.doi.org/10.1016/j.compag.2013.09.003. [CrossRef] [Google Scholar]
- Secchi M.A., Fernandez J.A., Stamm M.J., Durrett T., Vara Prasad P.V., Messina C.D., Ciampitti I.A. 2023. Effects of heat and drought on canola (Brassica napus L.) yield, oil, and protein: a meta-analysis. Field Crops Res 293: 108848. https://doi.org/10.1016/j.fcr.2023.108848. [CrossRef] [Google Scholar]
- Sezen S.M., Yazr A., Kapur B., Tekin S.. 2011. Comparison of drip and sprinkler irrigation strategies on sunflower seed and oil yield and quality under Mediterranean climatic conditions. Agric Water Manag 98: 1153–1161. https://doi.org/10.1016/j.agwat.2011.02.005. [CrossRef] [Google Scholar]
- Söderström M., Börjesson T., Pettersson C.G., Nissen K., Hagner O.. 2010. Prediction of protein content in malting barley using proximal and remote sensing. Precision Agric 11: 587–599. https://doi.org/10.1007/s11119-010-9181-6. [CrossRef] [Google Scholar]
- Song Y., Zheng X., Chen X., Xu Q., Liu X., Tian Y., Zhu Y., Cao W., Cao Q. 2023. Improving the prediction of grain protein content in winter wheat at the county level with multisource data: a case study in Jiangsu Province of China. Agronomy 13: 2577. https://doi.org/10.3390/agronomy13102577. [CrossRef] [Google Scholar]
- Stahl A., Pfeifer M., Frisch M., Wittkop B., Snowdon R.J.. 2017. Recent genetic gains in nitrogen use efficiency in oilseed rape. Front Plant Sci 8: 963. https://doi.org/10.3389/fpls.2017.00963. [CrossRef] [PubMed] [Google Scholar]
- Steer B.T., Coaldrake P.D., Pearson C.J., Canty C.P.. 1986. Effects of nitrogen supply and population density on plant development and yield components of irrigated sunflower (Helianthus annuus L.). Field Crops Res 13: 99–115. https://doi.org/10.1016/0378-4290(86)90014-6. [CrossRef] [Google Scholar]
- Taylor A.J., Smith C.J., Wilson I.B.. 1991. Effect of irrigation and nitrogen fertilizer on yield, oil content, nitrogen accumulation and water use of canola (Brassica napus L.). Fert Res 29: 249–260. https://doi.org/10.1007/BF01052393. [CrossRef] [Google Scholar]
- Terres Inovia. 2024a. Guide de culture – Colza. Terres Inovia, Thiverval-Grignon, 51 p. [Google Scholar]
- Terres Inovia. 2024b. Guide de culture – Tournesol. Terres Inovia, Thiverval-Grignon, 35 p. [Google Scholar]
- Thompson J.A., Heenan D.P.. 1994. Effect of sowing time on growth, yield, and oil characteristics of irrigated sunflower in southern New-South-Wales. Aust J Exp Agric 34: 255–258. https://doi.org/10.1071/EA9940255. [CrossRef] [Google Scholar]
- Unger P.W.. 1980. Planting date effects on growth, yield, and oil of irrigated sunflower. Agron J 72: 914–916. https://doi.org/10.2134/agronj1980.00021962007200060012x. [CrossRef] [Google Scholar]
- Wang L., Tian Y., Yao X., Zhu Y., Cao W.. 2014. Predicting grain yield and protein content in wheat by fusing multi-sensor and multi-temporal remote-sensing images. Field Crops Res 164: 178–188. http://dx.doi.org/10.1016/j.fcr.2014.05.001. [CrossRef] [Google Scholar]
- Zhang M., Wang O., Cai S., Zhao L., Zhao L.. 2023. Composition, functional properties, health benefits and applications of oilseed proteins: a systematic review. Food Res Int 171: 113061. https://doi.org/10.1016/j.foodres.2023. 113061. [CrossRef] [PubMed] [Google Scholar]
- Zheljazkov V.D., Vick B.A., Baldwin B.S., Buehring N., Astatkie T., Johnson B.. 2009. Oil concentration and saturated fatty acids in sunflower as a function of planting date, nitrogen rate, and hybrid. Agron J 101: 1003–1011. https://doi.org/10.2134/agronj2009.0011. [CrossRef] [Google Scholar]
- Zhu B., Chen S., Xu Z., Ye Y., Han C., Lu P., Song K. 2023. The estimation of maize grain protein content and yield by assimilating LAI and LNA, retrieved from canopy remote sensing data, into the DSSAT Model. Remote Sens 15: 2576. https://doi.org/10.3390/rs15102576. [CrossRef] [Google Scholar]
- Zhu J., Dai W., Chen B., Cai G., Wu X., Yan G.. 2023. Research progress on the effect of nitrogen on rapeseed between seed yield and oil content and its regulation mechanism. Int J Mol Sci 24: 14504. https://doi.org/10.3390/ijms241914504. [CrossRef] [PubMed] [Google Scholar]
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