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Are source and sink strengths genetically linked in maize plants subjected to water deficit? A QTL study of the responses of leaf growth and of Anthesis-Silking Interval to water deficit
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Leaf growth and Anthesis-Silking Interval (ASI) are the main determinants of source and sink strengths of maize via their relations with light interception and yield, respectively. They depend on the abilities of leaves and silks to expand under fluctuating environmental conditions, so the possibility is raised that they may have a partly common genetic determinism. This possibility was tested in a mapping population which segregates for ASI. Maximum leaf elongation rate per unit thermal time (parameter a) and the slopes of its responses to evaporative demand and soil water status (parameters b and c) were measured in greenhouse and growth chamber experiments, in two series of 120 recombinant inbred lines (RILs) studied in 2004 and 2005 with 33 RILs in common both years. ASI was measured in three and five fields under well-watered conditions and water deficit, respectively. For each RIL, the maximum elongation rate per unit thermal time was reproducible over several experiments in well-watered plants. It was accounted for by five QTLs, among which three co-localized with QTLs of ASI of well-watered plants. The alleles conferring high leaf elongation rate conferred a low ASI (high silk elongation rate). The responses of leaf elongation rate to evaporative demand and to predawn leaf water potential were linear, allowing each RIL to be characterized by the slopes of these response curves. These slopes had three QTLs in common with ASI of plants under water deficit. The allele for leaf growth maintenance was, in all cases, that for shorter ASI (maintained silk elongation rate). By contrast, other regions influencing ASI had no influence on leaf growth. These results may have profound consequences for modelling the genotype x environment interaction and for designing drought-tolerant ideotypes.
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“In contrast to the complex trait of interest, component physiological traits may be realistically modeled based on a relatively simple genetic architecture, and for such traits, QTL explaining a sizable proportion of genetic variance can be mapped and characterized [71, 93–96].”
From Integrating Crop Growth Models with Whole Genome Prediction through Approximate Bayesian Computation (2015) · cites this paper as [71]
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Cites
A Closed‐form Equation for Predicting the Hydraulic Conductivity of Unsaturated Soils
van Genuchten, M. T. (1980) · Soil Science Society of America Journal · doi:10.2136/sssaj1980.03615995004400050002x · Cited by 27,578
Empirical threshold values for quantitative trait mapping.
Churchill, G. A., & Doerge, R. W. (1994) · Genetics · doi:10.1093/genetics/138.3.963 · Cited by 4,935
Tardieu, F., & Simonneau, T. (1998) · Journal of Experimental Botany · doi:10.1093/jxb/49.special_issue.419 · Cited by 1,297
Self-citationBreeding for high water-use efficiency
Condon, A. G. (2004) · Journal of Experimental Botany · doi:10.1093/jxb/erh277 · Cited by 1,218
Exact Confidence Intervals for Heritability on a Progeny Mean Basis1
Knapp, S. J., Stroup, W. W., & Ross, W. M. (1985) · Crop Science · doi:10.2135/cropsci1985.0011183x002500010046x · Cited by 859
The importance of the anthesis-silking interval in breeding for drought tolerance in tropical maize
Bolaños, J., & Edmeades, G. O. (1996) · Field Crops Research · doi:10.1016/0378-4290(96)00036-6 · Cited by 652
Molecular and physiological approaches to maize improvement for drought tolerance
Bruce, W. B., Edmeades, G. O., & Barker, T. C. (2002) · Journal of Experimental Botany · doi:10.1093/jexbot/53.366.13 · Cited by 562
Ribaut, J., Jiang, C., González-de-León, D., Edmeades, G. O., & Hoisington, D. A. (1997) · Theoretical and Applied Genetics · doi:10.1007/s001220050492 · Cited by 437
Self-citationReymond, M., Muller, B., Leonardi, A., Charcosset, A., & Tardieu, F. (2003) · Plant Physiology · doi:10.1104/pp.013839 · Cited by 428
Self-citationDale, J. E. (1988) · Annual Review of Plant Physiology and Plant Molecular Biology · doi:10.1146/annurev.pp.39.060188.001411 · Cited by 407
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Araus, J. L., Slafer, G. A., Royo, C., & Serret, M. D. (2008) · Critical Reviews in Plant Sciences · doi:10.1080/07352680802467736 · Cited by 829
Hammer, G. L., Dong, Z., McLean, G., Doherty, A., Messina, C., Schussler, J., Zinselmeier, C., Paszkiewicz, S., & Cooper, M. (2009) · Crop Science · doi:10.2135/cropsci2008.03.0152 · Cited by 745
Quantitative Trait Loci and Crop Performance under Abiotic Stress: Where Do We Stand?: Table I.
Collins, N. C., Tardieu, F., & Tuberosa, R. (2008) · PLANT PHYSIOLOGY · doi:10.1104/pp.108.118117 · Cited by 559
Self-citationPhenotyping for drought tolerance of crops in the genomics era
Tuberosa, R. (2012) · Frontiers in Physiology · doi:10.3389/fphys.2012.00347 · Cited by 582
Tardieu, F. (2011) · Journal of Experimental Botany · doi:10.1093/jxb/err269 · Cited by 549
Self-citationPrasad, P. V. V., Staggenborg, S., & Ristic, Z. (2008) · Advances in agricultural systems modeling · doi:10.2134/advagricsystmodel1.c11 · Cited by 525
Hummel, I., Pantin, F., Ronan Sulpice, A., Piques, M., Rolland, G., Dauzat, M., Christophe, A., Pervent, M., Bouteillé-Pallas, M., Stitt, M., et al. (2010) · PLANT PHYSIOLOGY · doi:10.1104/pp.110.157008 · Cited by 455
Translational research impacting on crop productivity in drought-prone environments
Reynolds, M. P., & Tuberosa, R. (2008) · Current Opinion in Plant Biology · doi:10.1016/j.pbi.2008.02.005 · Cited by 355
High-throughput shoot imaging to study drought responses.
Berger, B., Parent, B., & Tester, M. (2010) · Journal of Experimental Botany · doi:10.1093/jxb/erq201 · Cited by 334
Enhancing drought tolerance in C4 crops
Lopes, M. S., Araus, J. L., van Heerden, P. D. R., & Foyer, C. H. (2011) · Journal of Experimental Botany · doi:10.1093/jxb/err105 · Cited by 329
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Tardieu, F., & Tuberosa, R. (2010) · Current Opinion in Plant Biology · doi:10.1016/j.pbi.2009.12.012 · Cited by 321
Self-citationParent, B., & Tardieu, F. (2012) · New Phytologist · doi:10.1111/j.1469-8137.2012.04086.x · Cited by 295
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Technow, F., Messina, C. D., Totir, L. R., & Cooper, M. (2015) · PLOS ONE · doi:10.1371/journal.pone.0130855 · Cited by 265
“[80]; 370 Tardieu et al.”
Drought resistance – is it really a complex trait?
Blum, A. (2011) · Functional Plant Biology · doi:10.1071/fp11101 · Cited by 274
Hund, A., Ruta, N., & Liedgens, M. (2009) · Plant and Soil · doi:10.1007/s11104-008-9843-6 · Cited by 272
Messina, C. D., Podlich, D., Dong, Z., Samples, M., & Cooper, M. (2011) · Journal of Experimental Botany · doi:10.1093/jxb/erq329 · Cited by 233
Messina, C. D., Technow, F., Tang, T., Totir, R., Gho, C., & Cooper, M. (2018) · European Journal of Agronomy · doi:10.1016/j.eja.2018.01.007 · Cited by 225
Chenu, K., Chapman, S. C., Tardieu, F., McLean, G., Welcker, C., & Hammer, G. L. (2009) · Genetics · doi:10.1534/genetics.109.105429 · Cited by 237
Self-citationvan Eeuwijk, F. A., Bustos-Korts, D., Millet, E. J., Boer, M. P., Kruijer, W., Thompson, A., Malosetti, M., Iwata, H., Quiroz, R., Kuppe, C., et al. (2019) · Plant Science · doi:10.1016/j.plantsci.2018.06.018 · Cited by 217
Self-citationLu, Y., Zhang, S., Shah, T. M., Xie, C., Hao, Z., Li, X., Farkhari, M., Ribaut, J., Cao, M., Rong, T., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1006105107 · Cited by 228
Self-citationTardieu, F. (2013) · Frontiers in Physiology · doi:10.3389/fphys.2013.00017 · Cited by 261
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Messina, C. D., Sinclair, T. R., Hammer, G., Curan, D., Thompson, J., Oler, Z., Gho, C., & Cooper, M. (2015) · Agronomy Journal · doi:10.2134/agronj15.0016 · Cited by 222
Water deficit and growth. Co-ordinating processes without an orchestrator?
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Araus, J. L., Serret, M. D., & Edmeades, G. O. (2012) · Frontiers in Physiology · doi:10.3389/fphys.2012.00305 · Cited by 212
Modeling QTL for complex traits: detection and context for plant breeding
Cooper, M., van Eeuwijk, F. A., Hammer, G., Podlich, D., & Messina, C. D. (2009) · Current Opinion in Plant Biology · doi:10.1016/j.pbi.2009.01.006 · Cited by 207
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Ribaut, J., Betrán, J., Monneveux, P., & Setter, T. L. (2009) · Springer eBooks · doi:10.1007/978-0-387-79418-1_16 · Cited by 182
Self-citationPhysiological phenotyping of plants for crop improvement
Ghanem, M. E., Marrou, H., & Sinclair, T. R. (2014) · Trends in Plant Science · doi:10.1016/j.tplants.2014.11.006 · Cited by 182
Genetic and Physiological Controls of Growth under Water Deficit
Tardieu, F., Parent, B., Caldeira, C. F., & Welcker, C. (2014) · PLANT PHYSIOLOGY · doi:10.1104/pp.113.233353 · Cited by 190
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Kim, K., & Lee, B. (2023) · Plants · doi:10.3390/plants12203548 · Cited by 208
CHENU, K., CHAPMAN, S. C., HAMMER, G. L., MCLEAN, G., SALAH, H. B. H., & TARDIEU, F. (2008) · Plant, Cell & Environment · doi:10.1111/j.1365-3040.2007.01772.x · Cited by 144
Self-citationSetter, T. L., Yan, J., Warburton, M. L., Ribaut, J., Xu, Y., Sawkins, M. C., Buckler, E. S., Zhang, Z., & Gore, M. A. (2010) · Journal of Experimental Botany · doi:10.1093/jxb/erq308 · Cited by 131
Self-citationXue, Y., Warburton, M. L., Sawkins, M. C., Zhang, X., Setter, T. L., Xu, Y., Grudloyma, P., Gethi, J., Ribaut, J., Li, W., et al. (2013) · Theoretical and Applied Genetics · doi:10.1007/s00122-013-2158-x · Cited by 129
Self-citationPlant Water Relations, Plant Stress and Plant Production
Blum, A. (2010) · Springer eBooks · doi:10.1007/978-1-4419-7491-4_2 · Cited by 138
Model-assisted phenotyping and ideotype design
Martre, P., Quilot‐Turion, B., Luquet, D., Memah, M.-M., Chenu, K., & Debaeke, P. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-417104-6.00014-5 · Cited by 121
Lu, Y., Hao, Z., Xie, C., Crossa, J. L., Araus, J., Gao, S., Vivek, B., Magorokosho, C., Mugo, S., Makumbi, D., et al. (2011) · Field Crops Research · doi:10.1016/j.fcr.2011.06.003 · Cited by 122
PARENT, B., Suard, B., Serraj, R., & Tardieu, F. (2010) · Plant Cell & Environment · doi:10.1111/j.1365-3040.2010.02145.x · Cited by 121
Self-citationParent, B., & Tardieu, F. (2014) · Journal of Experimental Botany · doi:10.1093/jxb/eru223 · Cited by 127
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Xu, J., Yuan, Y., Xu, Y., Zhang, G., Guo, X., Wu, F., Wang, Q., Rong, T., Pan, G., Cao, M., et al. (2014) · BMC Plant Biology · doi:10.1186/1471-2229-14-83 · Cited by 115
Oury, V., Tardieu, F., & Turc, O. (2016) · PubMed Central · doi:10.1104/pp.15.00268 · Cited by 115
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Hassan, A. F., Tardieu, F., & Turc, O. (2008) · Plant Cell & Environment · doi:10.1111/j.1365-3040.2008.01839.x · Cited by 110
Self-citationMeta-analysis of constitutive and adaptive QTL for drought tolerance in maize
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Kholová, J., Murugesan, T., Sivasakthi, K., Malayee, S., Baddam, R., Hammer, G., McLean, G., Deshpande, S., Hash, C. T., Craufurd, P., et al. (2014) · Functional Plant Biology · doi:10.1071/fp13355 · Cited by 101
Genome-wide analysis of yield in Europe: allelic effects as functions of drought and heat scenarios
Millet, E., Welcker, C., Kruijer, W., Negro, S., Nicolas, S., Praud, S., Ranc, N., Presterl, T., Tuberosa, R., Bedo, Z., et al. (2016) · Plant Physiology · doi:10.1104/pp.16.00621 · Cited by 160
Self-citationQTLs for the elongation of axile and lateral roots of maize in response to low water potential
Ruta, N., Liedgens, M., Fracheboud, Y., Stamp, P., & Hund, A. (2009) · Theoretical and Applied Genetics · doi:10.1007/s00122-009-1180-5 · Cited by 90
Welcker, C., Sadok, W., Dignat, G., Renault, M., Salvi, S., Charcosset, A., & Tardieu, F. (2011) · PLANT PHYSIOLOGY · doi:10.1104/pp.111.176479 · Cited by 86
Self-citationTurc, O., & Tardieu, F. (2018) · Journal of Experimental Botany · doi:10.1093/jxb/ery078 · Cited by 84
Self-citationZhao, X., Peng, Y., Zhang, J., Fang, P., & Wu, B. (2018) · Crop Science · doi:10.2135/cropsci2016.12.0991 · Cited by 79
Genome-Wide Association Study Reveals Natural Variations Contributing to Drought Resistance in Crops
Wang, H., & Qin, F. (2017) · Frontiers in Plant Science · doi:10.3389/fpls.2017.01110 · Cited by 81
Cai, H., Chu, Q., Yuan, L., Liu, J., Chen, X., Chen, F., Mi, G., & Zhang, F. S. (2011) · Molecular Breeding · doi:10.1007/s11032-011-9615-5 · Cited by 79
Sheoran, S., Gupta, M., Kumari, S., Kumar, S., & Rakshit, S. (2022) · Molecular Breeding · doi:10.1007/s11032-022-01294-9 · Cited by 77
Reyes, A., Messina, C. D., Hammer, G., Liu, L., van Oosterom, E. J., Lafitte, R. H., & Cooper, M. (2015) · Journal of Experimental Botany · doi:10.1093/jxb/erv430 · Cited by 76
Zhang, F., Lu, X., Lv, Z., Zhang, L., Zhu, M., Jiang, W., Wang, G., Sun, X., & Tang, K. (2013) · PLoS ONE · doi:10.1371/journal.pone.0056697 · Cited by 73
Turc, O., Bouteillé-Pallas, M., Hassan, A. F., Welcker, C., & Tardieu, F. (2016) · New Phytologist · doi:10.1111/nph.14053 · Cited by 73
Self-citationDai, Z., Vivin, P., Barrieu, F., Ollat, N., & Delrot, S. (2009) · Australian Journal of Grape and Wine Research · doi:10.1111/j.1755-0238.2009.00071.x · Cited by 80
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Embracing new-generation 'omics' tools to improve drought tolerance in cereal and food-legume crops
Singh, B., Bohra, A., Mishra, S., Joshi, R., & Pandey, S. (2015) · Biologia Plantarum · doi:10.1007/s10535-015-0515-0 · Cited by 58
Daryani, P., Ramandi, H. D., Dezhsetan, S., Mansuri, R. M., Salekdeh, G. H., & Shobbar, Z. (2021) · Theoretical and Applied Genetics · doi:10.1007/s00122-021-03953-5 · Cited by 51
Tardieu, F., & Parent, B. (2016) · Plant Cell & Environment · doi:10.1111/pce.12822 · Cited by 50
Self-citationImproving drought tolerance in maize: Tools and techniques
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Hammer, G., Messina, C. D., van Oosterom, E. J., Chapman, S. C., Singh, V., Borrell, A. K., Jordan, D., & Cooper, M. (2015) · Springer eBooks · doi:10.1007/978-3-319-20562-5_7 · Cited by 47
Hao, B., Xue, Q., Marek, T. H., Jessup, K. E., Hou, X., Xu, W., Bynum, E. D., & Bean, B. W. (2015) · Journal of Agronomy and Crop Science · doi:10.1111/jac.12154 · Cited by 48
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Dignat, G., Welcker, C., Sawkins, M. C., Ribaut, J., & Tardieu, F. (2012) · Plant Cell & Environment · doi:10.1111/pce.12045 · Cited by 37
Self-citationDosio, G. A. A., Tardieu, F., & Turc, O. (2010) · New Phytologist · doi:10.1111/j.1469-8137.2010.03445.x · Cited by 39
Self-citationKhan, M. A., Iqbal, M., Akram, M., Ahmad, M., Hassan, M. W., & Jamil, M. (2013) · Zemdirbyste-Agriculture · doi:10.13080/z-a.2013.100.042 · Cited by 35
Peirone, L. S., Irujo, G. P., Bolton, A., Erreguerena, I. A., & Aguirrezábal, L. A. N. (2018) · Frontiers in Plant Science · doi:10.3389/fpls.2018.00587 · Cited by 34
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Aneley, G. M., Haas, M., & Köhl, K. I. (2022) · Potato Research · doi:10.1007/s11540-022-09567-8 · Cited by 33
Rakkammal, K., Priya, A., Pandian, S., Maharajan, T., Rathinapriya, P., Satish, L., Ceasar, S. A., Sohn, S.-I., & Ramesh, M. (2022) · Plants · doi:10.3390/plants11212852 · Cited by 33
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Vennam, R. R., Poudel, S., Ramamoorthy, P., Samiappan, S., Reddy, K. R., & Bheemanahalli, R. (2023) · Physiologia Plantarum · doi:10.1111/ppl.14029 · Cited by 31
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Zaka, S., Ahmed, L. Q., Gutierrez, A. A. E., Gastal, F., Julier, B., & Louarn, G. (2016) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2016.10.004 · Cited by 31
Hao, Z. F., Xue-Yong, L. I., Xie, C., Li, M. S., Zhang, D. G., Bai, L., & ZHANG, S.-H. (2008) · Annals of Applied Biology · doi:10.1111/j.1744-7348.2008.00239.x · Cited by 31
Evaluation and Quantitative Inheritance of Several Drought-Relative Traits in Maize
Fu, F., Zhi-lei, F. E. N. G., Shi-bing, G. A. O., Zhou, S., & Li, W. (2008) · Agricultural Sciences in China · doi:10.1016/s1671-2927(08)60067-x · Cited by 30
Hou, X., Liu, Y., Xiao, Q., Wei, B., Zhang, X., Gu, Y., Wang, Y., Chen, J., Hu, Y., Liu, H., et al. (2015) · Euphytica · doi:10.1007/s10681-015-1401-8 · Cited by 30
Kholová, J., Zindy, P., Malayee, S., Baddam, R., Murugesan, T., Sivasakthi, K., Hash, C. T., Votrubová, O., Soukup, A., Kočová, M., et al. (2016) · Functional Plant Biology · doi:10.1071/fp15115 · Cited by 29
Trachsel, S., Stamp, P., & Hund, A. (2010) · Maydica · Cited by 26
Gouesnard, B., Zanetto, A., & Welcker, C. (2015) · Euphytica · doi:10.1007/s10681-015-1624-8 · Cited by 26
Self-citationLentil Variation in Phenology and Yield Evaluated with a Model
Ghanem, M. E., Marrou, H., Soltani, A., Kumar, S., & Sinclair, T. R. (2015) · Agronomy Journal · doi:10.2134/agronj15.0061 · Cited by 28
Genetic mapping of potential QTLs associated with drought tolerance in wheat.
Malik, S. R., Rahman, M., & Malik, T. A. (2015) · The Journal of Animal and Plant Sciences · Cited by 24
Leng, P., Khan, S. U., Zhang, D., Zhou, G., Zhang, X., Zheng, Y., Wang, T., & Zhao, J. Y. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23158410 · Cited by 23
Opportunities for improving crop water productivity through genetic enhancement of dryland crops.
Gowda, C. L. L., Serraj, R., Srinivasan, G., Chauhan, Y. S., Reddy, B. V. S., Rai, K. N., Nigam, S. N., Gaur, P. M., Reddy, L. J., Dwivedi, S. L., et al. (2009) · CABI eBooks · doi:10.1079/9781845933890.0133 · Cited by 22
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Tuberosa, R., Salvi, S., Giuliani, S., Sanguineti, M. C., Frascaroli, E., Conti, S., & Landi, P. (2010) · Springer eBooks · doi:10.1007/978-3-540-85546-0_8 · Cited by 21
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Getahun, B. B., Visser, R. G. F., & van der Linden, C. G. (2020) · American Journal of Potato Research · doi:10.1007/s12230-020-09766-4 · Cited by 20
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Maccaferri, M., Sanguineti, M. C., Giuliani, S., & Tuberosa, R. (2009) · Springer eBooks · doi:10.1007/978-0-387-77489-3_18 · Cited by 19
Hammad, H. M., Abbas, F., Ahmad, A., Fahad, S., Laghari, K. Q., Alharby, H. F., & Farhad, W. (2016) · Environmental Science and Pollution Research · doi:10.1007/s11356-016-7206-z · Cited by 18
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Metadata
- Authors
- Welcker, C., Boussuge, B., Bencivenni, C., Ribaut, J.-M., & Tardieu, F.
- Affiliations
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
- Centro Internacional de Mejoramiento de Maíz Y Trigo (MX)
- Corresponding author
- Tardieu, F
- ORCID
- Venue
- Journal of Experimental Botany
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-11-06
- Volume
- 58
- Issue
- 2
- Pages
- 339-349
- ISSN
- 0022-0957 (ISSN-L)
- 1460-2431
- OpenAlex
- W2066509652
- Cited by
- 174
- References
- 43
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 3 · 2023: 8 · 2022: 10 · 2021: 5 · 2020: 5 · 2019: 3 · 2018: 10 · 2017: 2 · 2016: 9 · 2015: 18 · 2014: 13 · 2013: 15 · 2012: 8
- FWCI
- 17.85
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Experimental Botany (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Funders
- Institut National de la Recherche Agronomique
- Topics
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Crop Yield and Soil Fertility
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Genetics and Plant Breeding
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Keywords
- maize, drought stress, source-sink relationships, leaf elongation rate, anthesis-silking interval, quantitative trait loci, QTL mapping, recombinant inbred lines, evaporative demand, predawn water potential, gene-environment interaction, light interception
- MeSH terms
- Zea mays, Soil, Genetic Variation, Water, Gene Expression Regulation, Plant, Plant Leaves, Flowers, Quantitative Trait Loci
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