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How do seed and seedling traits influence germination and emergence parameters in crop species? A comparative analysis

Published online by Cambridge University Press:  12 December 2016

Antoine Gardarin ,
Françoise Coste ,
Marie-Hélène Wagner  and
Carolyne Dürr
Antoine Gardarin*
Affiliation:
UMR Agronomie, INRA, AgroParisTech, Université Paris-Saclay, 78850 Thiverval-Grignon, France
Françoise Coste
Affiliation:
École Supérieure d'Agriculture, Laboratoire d’Écophysiologie Végétale et d'Agroécologie, 49007 Angers, France
Marie-Hélène Wagner
Affiliation:
GEVES, Station Nationale d'Essai de Semences, 49071 Beaucouzé, France
Carolyne Dürr
Affiliation:
INRA, UMR 1345 Institut de Recherche en Horticulture et Semences, 42 rue George Morel, 49071 Beaucouzé, France.
*
*Correspondence Email: Antoine.Gardarin@inra.fr
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Abstract

Early plant establishment through seed germination and seedling emergence is a crucial process that determines seedling number, emergence time distribution and the early growth of seedlings, all of which are affected by soil climate and soil structure. In the current context of climate change, in which increasing the diversity of cultivated species is considered desirable, and new tillage practices are considerably modifying top-soil surface characteristics, we need to improve our ability to model the effects of the environment on plant establishment. Using a trait-based and model-based framework, we aimed to identify general relationships between seed and seedling traits (e.g. seed mass and lipid content, seedling diameter, base temperature) and germination and emergence model parameters (e.g. time to mid-germination, shoot elongation rate) measured for 18 genotypes belonging to 14 species. Relationships were also investigated among model parameters or traits. Germination rates were faster for species with a high base temperature and for species with seed reserves located principally in the embryo (rather than the endosperm or perisperm). During heterotrophic growth, maximal shoot length and elongation rate increased with seed dry mass. The sensitivity of seedlings to soil obstacles was negatively related to shoot diameter. Thus apart from the known effects of seed mass on seedling establishment, we found that seed reserve location, seedling shoot diameter and shape affected germination rate and emergence success. Such generic rules linking plant traits to germination and emergence parameters enhance our understanding of the determinants of environmental effects on plant establishment success.

Keywords

base temperaturebase water potentiallipid contentseed reservesseed weightshoot diameter

Information

Type
Research Papers
Information
Seed Science Research , Volume 26 , Issue 4 , December 2016 , pp. 317 - 331
Copyright
Copyright © Cambridge University Press 2016 

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References

Addae, P.C. and Pearson, C.J. (1992) Thermal requirements for germination and seedling growth of wheat. Australian Journal of Agricultural Research 43, 585–594.CrossRefGoogle Scholar
Al-Ani, A., Bruzau, F., Raymond, P., Saint-Ges, V., Leblanc, J.M. and Pradet, A. (1985) Germination, respiration and adenylate energy charge of seeds at various oxygen partial pressures. Plant Physiology 79, 885–890.Google Scholar
Alvarado, V. and Bradford, K.J. (2002) A hydrothermal time model explains the cardinal temperatures for seed germination. Plant, Cell and Environment 25, 1061–1069.CrossRefGoogle Scholar
Angus, J.F., Cunningham, R.B., Moncur, M.W. and Mackenzie, D.H. (1981) Phasic development in field crops. I. Thermal response in the seedling phase. Field Crops Research 3, 365–378.Google Scholar
Bond, W.J., Honig, M. and Maze, K.E. (1999) Seed size and seedling emergence: an allometric relationship and some ecological implications. Œcologia 120, 132–136.Google Scholar
Bouaziz, A. and Bruckler, L. (1989a) Modeling wheat seedling growth and emergence: I. Seedling growth affected by soil water potential. Soil Science Society of America Journal 53, 1832–1838.Google Scholar
Bouaziz, A. and Bruckler, L. (1989b) Modeling wheat seedling growth and emergence: II. Comparison with field experiments. Soil Science Society of America Journal 53, 1838–1846.CrossRefGoogle Scholar
Brisson, N., Mary, B., Ripoche, D., Jeuffroy, M.H., Ruget, F., Nicoullaud, B., Gate, P., Devienne-Barret, F., Antonioletti, R., Dürr, C., Richard, G., Beaudoin, N., Recous, S., Tayot, X., Plenet, D., Cellier, P., Machet, J.M., Meynard, J.M. and Delecolle, R. (1998) STICS: a generic model for the simulation of crops and their water and nitrogen balances. I. Theory and parameterization applied to wheat and corn. Agronomie 18, 311–346.CrossRefGoogle Scholar
Brunel, S., Aubertot, J.N. and Dürr, C. (2011) Simulating the impact of genetic diversity of Medicago truncatula on germination and emergence using a crop emergence model for ideotype breeding. Annals of Botany 107, 1367–1376.CrossRefGoogle Scholar
Brunel, S., Teulat-Merah, B., Wagner, M.-H., Huguet, T., Prosperi, J.-M. and Dürr, C. (2009) Using a model-based framework for analysing genetic diversity during germination and heterotrophic growth of Medicago truncatula . Annals of Botany 103, 1103–1117.Google Scholar
Colbach, N., Busset, H., Yamada, O., Dürr, C. and Caneill, J. (2006) ALOMYSYS: Modelling black-grass (Alopecurus myosuroides Huds.) germination and emergence, in interaction with seed characteristics, tillage and soil climate – II. Evaluation. European Journal of Agronomy 24, 113–128.Google Scholar
Colbach, N., Chauvel, B., Dürr, C. and Richard, G. (2002) Effect of environmental conditions on Alopecurus myosuroides germination. I. Effect of temperature and light. Weed Research 42, 210–221.Google Scholar
Dahal, P. and Bradford, K.J. (1994) Hydrothermal time analysis of tomato seed germination at suboptimal temperature and reduced water potential. Seed Science Research 4, 71–80.CrossRefGoogle Scholar
Dias, P., Brunel-Muguet, S., Dürr, C., Huguet, T., Demilly, D., Wagner, M.-H. and Teulat-Merah, B. (2011) QTL analysis of seed germination and pre-emergence growth at extreme temperatures in Medicago truncatula . Theoretical and Applied Genetics 122, 429–444.CrossRefGoogle ScholarPubMed
Dorsainvil, F., Dürr, C., Justes, E. and Carrera, A. (2005) Characterisation and modelling of white mustard (Sinapis alba L.) emergence under several sowing conditions. European Journal of Agronomy 23, 146–158.Google Scholar
Dürr, C. (2002) Analyse et modélisation de l'implantation des cultures. Habilitation thesis.Google Scholar
Dürr, C. and Aubertot, J.N. (2000) Emergence of seedlings of sugar beet (Beta vulgaris L.) as affected by the size, roughness and position of aggregates in the seedbed. Plant and Soil 219, 211–220.CrossRefGoogle Scholar
Dürr, C., Aubertot, J.N., Richard, G., Dubrulle, P., Duval, Y. and Boiffin, J. (2001) SIMPLE: A model for SIMulation of PLant Emergence predicting the effects of soil tillage and sowing operations. Soil Science Society of America Journal 65, 414–423.Google Scholar
Dürr, C. and Boiffin, J. (1995) Sugarbeet seedling growth from germination to first leaf stage. Journal of Agricultural Science 124, 427–435.CrossRefGoogle Scholar
Dürr, C., Boiffin, J. and Boizard, H. (1990) Influence du régime thermique sur la croissance pondérale et le rythme d'apparition des feuilles de jeunes plantes de maïs. Physiologie et production du maïs. Pau, INRA, AGPM et Université de Paris-Sud.Google Scholar
Dürr, C., Dickie, J.B., Yang, X.Y. and Pritchard, H.W. (2015) Ranges of critical temperature and water potential values for the germination of species worldwide: contribution to a seed trait database. Agricultural and Forest Meteorology 200, 222–232.Google Scholar
Fayaud, B., Coste, F., Corre-Hellou, G., Gardarin, A. and Dürr, C. (2014) Modelling early growth under different sowing conditions: a tool to predict variations in intercrop early stages. European Journal of Agronomy 52, 180–190.Google Scholar
Finch-Savage, W.E. and Leubner-Metzger, G. (2006) Seed dormancy and the control of germination. New Phytologist 171, 501–523.Google Scholar
Finch-Savage, W.E., Phelps, K., Peach, L. and Steckel, J.R.A. (2000) Use of threshold germination models under variable field conditions, pp. 489–497 in Black, M., Bradford, K.J. and Vázquez-Ramos, J., Seed biology: advances and applications. Proceedings of the Sixth International Workshop on Seeds, Merida, Mexico, 1999. CABI Publishing, Wallingford, UK.Google Scholar
Finch-Savage, W.E., Rowse, H.R. and Dent, K.C. (2005) Development of combined imbibition and hydrothermal threshold models to simulate maize (Zea mays) and chickpea (Cicer arietinum) seed germination in variable environments. New Phytologist 165, 825–838.Google Scholar
Finch-Savage, W.E., Steckel, J.R.A. and Phelps, K. (1998) Germination and post-germination growth to carrot seedling emergence: predictive threshold models and sources of variation between sowing occasions. New Phytologist 139, 505–516.CrossRefGoogle Scholar
Flynn, S., Turner, R.M. and Stuppy, W.H. (2006) Seed Information Database (release 7.0, October 2006); http://www.kew.org/data/sid.Google Scholar
Gaba, S., Lescourret, F., Boudsocq, S., Enjalbert, J., Hinsinger, P., Journet, É.-P., Navas, M.-L., Wery, J., Louarn, G., Malézieux, E., Pelzer, É., Prudent, M. and Ozier-Lafontaine, H. (2015) Multiple cropping systems as drivers for providing multiple ecosystem services: from concepts to design. Agronomy for Sustainable Development 35, 607–623.Google Scholar
Gardarin, A., Dürr, C. and Colbach, N. (2010a) Effects of seed depth and soil structure on the emergence of weeds with contrasted seed traits. Weed Research 50, 91–101.Google Scholar
Gardarin, A., Dürr, C. and Colbach, N. (2011) Prediction of germination rates of weed species: relationships between germination parameters and species traits. Ecological Modelling 222, 626–636.Google Scholar
Gardarin, A., Guillemin, J.-P., Munier-Jolain, N. and Colbach, N. (2010b) Estimation of key parameters for weed population dynamics models: base temperature and base water potential for germination. European Journal of Agronomy 32, 162–168.CrossRefGoogle Scholar
Grime, J.P., Mason, G., Curtis, A.V., Rodman, J., Band, S.R., Mowforth, M.A.G., Neal, A.M. and Shaw, S. (1981) A comparative study of germination characteristics in a local flora. Journal of Ecology 69, 1017–1059.CrossRefGoogle Scholar
Gummerson, R.J. (1986) The effect of constant temperatures and osmotic potentials on the germination of sugar beet. Journal of Experimental Botany 37, 729–741.Google Scholar
Hoyle, G.L., Steadman, K.J., Good, R.B., McIntosh, E.J., Galea, L.M.E. and Nicotra, A.B. (2015) Seed germination strategies: an evolutionary trajectory independent of vegetative functional traits. Frontiers in Plant Science 6, 13.Google Scholar
Larson, J.E., Sheley, R.L., Hardegree, S.P., Doescher, P.S. and James, J.J. (2015) Seed and seedling traits affecting critical life stage transitions and recruitment outcomes in dryland grasses. Journal of Applied Ecology 52, 199–209.Google Scholar
Larson, J.E., Sheley, R.L., Hardegree, S.P., Doescher, P.S. and James, J.J. (2016) Do key dimensions of seed and seedling functional trait variation capture variation in recruitment probability? Oecologia 181, 39–53.Google Scholar
Linder, C.R. (2000) Adaptive evolution of seed oils in plants: accounting for the biogeographic distribution of saturated and unsaturated fatty acids in seed oils. American Naturalist 156, 442–458.Google Scholar
Malézieux, E., Crozat, Y., Dupraz, C., Laurans, M., Makowski, D., Ozier-Lafontaine, H., Rapidel, B., de Tourdonnet, S. and Valantin-Morison, M. (2009) Mixing plant species in cropping systems: concepts, tools and models. A review. Agronomy for Sustainable Development 29, 43–62.CrossRefGoogle Scholar
Michel, B.E. and Radcliffe, D. (1995) A computer program relating solute potential to solution composition for five solutes. Agronomy Journal 87, 126–130.Google Scholar
Nonogaki, H., Bassel, G.W. and Bewley, J.D. (2010) Germination – Still a mystery. Plant Science 179, 574–581.Google Scholar
Norden, N., Daws, M.I., Antoine, C., Gonzalez, M.A., Garwood, N.C. and Chave, J. (2009) The relationship between seed mass and mean time to germination for 1037 tree species across five tropical forests. Functional Ecology 23, 203–210.Google Scholar
Parent, B. and Tardieu, F. (2012) Temperature responses of developmental processes have not been affected by breeding in different ecological areas for 17 crop species. New Phytologist 194, 760–774.Google Scholar
R Development Core Team (2015) R: a language and environment for statistical computing.Google Scholar
Raveneau, M.P., Coste, F., Moreau-Valancogne, P., Lejeune-Henaut, I. and Durr, C. (2011) Pea and bean germination and seedling responses to temperature and water potential. Seed Science Research 21, 205–213.CrossRefGoogle Scholar
Ritchie, S., Swanson, S.J. and Gilroy, S. (2000) Physiology of the aleurone layer and starchy endosperm during grain development and early seedling growth: new insights from cell and molecular biology. Seed Science Research 10, 193–212.CrossRefGoogle Scholar
Saglio, P.H. and Pradet, A. (1980) Soluble sugars, respiration, and energy charge during aging of excised maize root tips. Plant Physiology 66, 516–519.Google Scholar
Shipley, B. and Parent, M. (1991) Germination responses of 64 wetland species in relation to seed size, minimum time to reproduction and seedling relative growth rate. Functional Ecology 5, 111–118.Google Scholar
Sinha, A.K. and Ghildyal, B.P. (1979) Emergence force of crop seedlings. Plant and Soil 51, 153–156.CrossRefGoogle Scholar
Soltani, A., Galeshi, S., Zeinali, E. and Latifi, N. (2002) Germination, seed reserve utilization and seedling growth of chickpea as affected by salinity and seed size. Seed Science and Technology 30, 51–60.Google Scholar
Souty, N. and Rode, C. (1993) Emergence of sugar beet seedlings from under different obstacles. European Journal of Agronomy 2, 213–221.Google Scholar
Squire, G.R., Marshall, B., Dunlop, G. and Wright, G. (1997) Genetic basis of rate-temperature characteristics for germination in oilseed rape. Journal of Experimental Botany 48, 869–875.Google Scholar
Trudgill, D.L., Honek, A., Li, D. and Van Straalen, N.M. (2005) Thermal time – concepts and utility. Annals of Applied Biology 146, 1–14.CrossRefGoogle Scholar
Violle, C., Navas, M.L., Vile, D., Kazakou, E., Fortunel, C., Hummel, I. and Garnier, E. (2007) Let the concept of trait be functional! Oikos 116, 882–892.Google Scholar