Phenotyping for drought tolerance of crops in the genomics era

Using vegetation indices derived from conventional digital cameras as selection criteria for wheat breeding in water‐limited environments

Casadesús, J., Kaya, Y., Bort, J., Nachit, M. M., Araus, J. L., Amor, S., Ferrazzano, G., Maalouf, F., Maccaferri, M., Martos, V., et al. (2007) · Annals of Applied Biology · doi:10.1111/j.1744-7348.2007.00116.x · Cited by 197

Quantitative trait loci for water-soluble carbohydrates and associations with agronomic traits in wheat

Rebetzke, G. J., van Herwaarden, A. F., Jenkins, C., Weiss, M., Lewis, D., Ruuska, S., Tabe, L., Fettell, N. A., & Richards, R. A. (2008) · Australian Journal of Agricultural Research · doi:10.1071/ar08067 · Cited by 197

The X-factor: visualizing undisturbed root architecture in soils using X-ray computed tomography

Tracy, S. R., Roberts, J. A., Black, C. R., McNeill, A., Davidson, R., & Mooney, S. J. (2010) · Journal of Experimental Botany · doi:10.1093/jxb/erp386 · Cited by 197

Breeding Rice for Drought-Prone Environments

Fischer, K. S., Lafitte, R. H., Fukai, S., Atlin, G. N., & Hardy, B. (2003) · Cited by 195

Genomic Dissection of Genotype × Environment Interactions Conferring Adaptation of Cotton to Arid Conditions

Saranga, Y., Menz, M., Jiang, C.-X., Wright, R. J., Yakir, D., & Paterson, A. H. (2001) · Genome Research · doi:10.1101/gr.157201 · Cited by 194

Genetic dissection of root growth in rice (Oryza sativa L.) I: a hydrophonic screen

Price, A. H., Tomos, A. D., & Virk, D. S. (1997) · Theoretical and Applied Genetics · doi:10.1007/s001220050541 · Cited by 191

Drought tolerance and yield increase of soybean resulting from improved symbiotic N2 fixation

Sinclair, T. R., Purcell, L. C., King, C. A., Sneller, C. H., Chen, P., & Vadez, V. (2007) · Field Crops Research · doi:10.1016/j.fcr.2006.09.010 · Cited by 188

Multi-environment QTL mixed models for drought stress adaptation in wheat

Mathews, K. L., Malosetti, M., Chapman, S., McIntyre, L., Reynolds, M., Shorter, R., & van Eeuwijk, F. (2008) · Theoretical and Applied Genetics · doi:10.1007/s00122-008-0846-8 · Cited by 184

Root-ABA1, a major constitutive QTL, affects maize root architecture and leaf ABA concentration at different water regimes

Giuliani, S., Sanguineti, M. C., Tuberosa, R., Bellotti, M., Salvi, S., & Landi, P. (2005) · Journal of Experimental Botany · doi:10.1093/jxb/eri303 · Cited by 181

Drought Adaptation in Cereals

Ribaut, J.-M. (2024) · CRC Press eBooks · doi:10.1201/9781003578338 · Cited by 180

Detection of quantitative trait loci for seminal root traits in maize (Zea mays L.) seedlings grown under differential phosphorus levels

Zhu, J., Mickelson, S. M., Kaeppler, S. M., & Lynch, J. P. (2006) · Theoretical and Applied Genetics · doi:10.1007/s00122-006-0260-z · Cited by 180

Sixty-two years of fighting hunger: personal recollections

Borlaug, N. E. (2007) · Euphytica · doi:10.1007/s10681-007-9480-9 · Cited by 179

Microarray expression profiling resources for plant genomics

RENSINK, W., & BUELL, C. (2005) · Trends in Plant Science · doi:10.1016/j.tplants.2005.10.003 · Cited by 178

A multi-trait multi-environment QTL mixed model with an application to drought and nitrogen stress trials in maize (Zea mays L.)

Malosetti, M., Ribaut, J. M., Vargas, M., Crossa, J., & van Eeuwijk, F. A. (2008) · Euphytica · doi:10.1007/s10681-007-9594-0 · Cited by 178

High yield potential, shuttle breeding, genetic diversity, and a new international wheat improvement strategy

Ortiz, R. O., Trethowan, R. M., Ferrara, G. O., et al. (2007) · Euphytica · doi:10.1007/s10681-007-9375-9 · Cited by 175

Drought tolerance through biotechnology: improving translation from the laboratory to farmers’ fields

Deikman, J., Petracek, M., & Heard, J. E. (2012) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2011.11.003 · Cited by 175

Quantitative trait loci for carbon isotope discrimination are repeatable across environments and wheat mapping populations

Rebetzke, G. J., Condon, A. G., Farquhar, G. D., Appels, R., & Richards, R. A. (2008) · Theoretical and Applied Genetics · doi:10.1007/s00122-008-0882-4 · Cited by 175

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

Welcker, C., Boussuge, B., Bencivenni, C., Ribaut, J.-M., & Tardieu, F. (2006) · Journal of Experimental Botany · doi:10.1093/jxb/erl227 · Cited by 174 · cited 2×

Yield response of rice (Oryza sativa L.) genotypes to drought under rainfed lowland

Pantuwan, G., Fukai, S., Cooper, M., Rajatasereekul, S., & O’Toole, J. C. (2002) · Field Crops Research · doi:10.1016/s0378-4290(01)00194-0 · Cited by 172

QTLs for chlorophyll and chlorophyll fluorescence parameters in barley under post-flowering drought

Guo, P., Baum, M., Varshney, R. K., Graner, A., Grando, S., & Ceccarelli, S. (2007) · Euphytica · doi:10.1007/s10681-007-9629-6 · Cited by 169

Breeding cereals for Mediterranean conditions: ecophysiological clues for biotechnology application

ARAUS, J. L., BORT, J., STEDUTO, P., VILLEGAS, D., & ROYO, C. (2003) · Annals of Applied Biology · doi:10.1111/j.1744-7348.2003.tb00238.x · Cited by 167

Possible correlation between high temperature-induced floret sterility and endogenous levels of IAA, GAs and ABA in rice (Oryza sativa L.)

Tang, R.-S., Zheng, J.-C., Jin, Z.-Q., Zhang, D.-D., Huang, Y.-H., & Chen, L.-G. (2007) · Plant Growth Regulation · doi:10.1007/s10725-007-9225-8 · Cited by 163

The yield correlations of selectable physiological traits in a population of advanced spring wheat lines grown in warm and drought environments

Lopes, M. S., Reynolds, M. P., Jalal-Kamali, M. R., Moussa, M., Feltaous, Y., Tahir, I. S. A., Barma, N., Vargas, M., Mannes, Y., & Baum, M. (2012) · Field Crops Research · doi:10.1016/j.fcr.2011.12.017 · Cited by 162

Trait physiology and crop modelling as a framework to link phenotypic complexity to underlying genetic systems

Hammer, G. L., Chapman, S., van Oosterom, E., & Podlich, D. W. (2005) · Australian Journal of Agricultural Research · doi:10.1071/ar05157 · Cited by 162

The development and application of molecular markers for abiotic stress tolerance in barley

Forster, B. P., Ellis, R. P., Thomas, W. T. B., Newton, A. C., Tuberosa, R., This, D., El‐Enein, R. A., Bahri, M. H., & Ben Salem, M. (2000) · Journal of Experimental Botany · doi:10.1093/jexbot/51.342.19 · Cited by 162

Sugar-responsive Gene Expression, Invertase Activity, and Senescence in Aborting Maize Ovaries at Low Water Potentials

McLAUGHLIN, J. E., & BOYER, J. S. (2004) · Annals of Botany · doi:10.1093/aob/mch193 · Cited by 161

Lettuce, a shallow-rooted crop, and Lactuca serriola, its wild progenitor, differ at QTL determining root architecture and deep soil water exploitation

Johnson, W. C., Jackson, L. E., Ochoa, O., van Wijk, R., Peleman, J., St. Clair, D. A., & Michelmore, R. W. (2000) · Theoretical and Applied Genetics · doi:10.1007/s001220051581 · Cited by 160

DISSECTION OF PHYSIOLOGICAL PROCESSES UNDERLYING GRAIN YIELD IN MAIZE BY EXAMINING GENETIC IMPROVEMENT AND HETEROSIS

Tollenaar, M. (2006) · Maydica · Cited by 160

The genetic basis of stay-green in rice analyzed in a population of doubled haploid lines derived from an indica by japonica cross

Jiang, G. H., He, Y. Q., Xu, C. G., Li, X. H., & Zhang, Q. (2004) · Theoretical and Applied Genetics · doi:10.1007/s00122-003-1465-z · Cited by 159

Mapping QTLs for root traits in a recombinant inbred population from two indica ecotypes in rice

Ali, M. L., Pathan, M. S., Zhang, J., Bai, G., Sarkarung, S., & Nguyen, H. T. (2000) · Theoretical and Applied Genetics · doi:10.1007/s001220051541 · Cited by 158

Optimizing thermal imaging as a technique for detecting stomatal closure induced by drought stress under greenhouse conditions

Grant, O. M., Chaves, M. M., & Jones, H. G. (2006) · Physiologia Plantarum · doi:10.1111/j.1399-3054.2006.00686.x · Cited by 158

Leaf growth rate per unit thermal time follows QTL‐dependent daily patterns in hundreds of maize lines under naturally fluctuating conditions

Sadok, W., Naudin, P., Boussuge, B., Muller, B., Welcker, C., & Tardieu, F. (2006) · Plant Cell & Environment · doi:10.1111/j.1365-3040.2006.01611.x · Cited by 156

From genome to crop: integration through simulation modeling

Hoogenboom, G., White, J. W., & Messina, C. D. (2004) · Field Crops Research · doi:10.1016/j.fcr.2004.07.014 · Cited by 155

Imaging plants dynamics in heterogenic environments

Fiorani, F., Rascher, U., Jahnke, S., & Schurr, U. (2012) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2011.12.010 · Cited by 154

Influence of Water Deficit on Maize Endosperm Development

Ober, E. S., Setter, T. L., Madison, J. T., Thompson, J. F., & Shapiro, P. S. (1991) · PLANT PHYSIOLOGY · doi:10.1104/pp.97.1.154 · Cited by 151

Identification and mapping of a QTL (qDTY1.1) with a consistent effect on grain yield under drought

Ghimire, K. H., Quiatchon-Baeza, L., Vikram, P., et al. (2012) · Field Crops Research · doi:10.1016/j.fcr.2012.02.028 · Cited by 151

Drought as a challenge for the plant breeder

Ceccarelli, S., & Grando, S. (1996) · Plant Growth Regulation · doi:10.1007/bf00024011 · Cited by 151

Non-invasive approaches for phenotyping of enhanced performance traits in bean

Rascher, U., Bloßfeld, S., Fiorani, F., Jahnke, S., Jansen, M., Kuhn, A. J., Matsubara, S., Märtin, L. L. A., Merchant, A., Metzner, R., et al. (2011) · Functional Plant Biology · doi:10.1071/fp11164 · Cited by 150

Gel observation chamber for rapid screening of root traits in cereal seedlings

Bengough, A. G., GORDON, D. C., Al-Menaie, H. S., et al. (2004) · Plant and Soil · doi:10.1023/b:plso.0000037029.82618.27 · Cited by 149

Functional reversion to identify controlling genes in multigenic responses: analysis of floral abortion

Boyer, J. S., & McLaughlin, J. E. (2006) · Journal of Experimental Botany · doi:10.1093/jxb/erl177 · Cited by 147

The emergence of whole genome association scans in barley

Waugh, R., Jannink, J., Muehlbauer, G. J., & Ramsay, L. (2009) · Current Opinion in Plant Biology · doi:10.1016/j.pbi.2008.12.007 · Cited by 146

Phenotypic plasticity of yield and phenology in wheat, sunflower and grapevine

Sadras, V. O., Reynolds, M. P., de la Vega, A. J., et al. (2008) · Field Crops Research · doi:10.1016/j.fcr.2008.09.004 · Cited by 146

Genetic dissection of seminal root architecture in elite durum wheat germplasm

Sanguineti, M. C., Li, S., Maccaferri, M., Corneti, S., Rotondo, F., Chiari, T., & Tuberosa, R. (2007) · Annals of Applied Biology · doi:10.1111/j.1744-7348.2007.00198.x · Cited by 146

Root water uptake and profile soil water as affected by vertical root distribution

Yu, G., Zhuang, J., Nakayama, K., & Jin, Y. (2006) · Plant Ecology · doi:10.1007/s11258-006-9163-y · Cited by 145

Short-term responses of leaf growth rate to water deficit scale up to whole-plant and crop levels: an integrated modelling approach in maize

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

Measuring root traits in barley (Hordeum vulgare ssp. vulgare and ssp. spontaneum) seedlings using gel chambers, soil sacs and X-ray microtomography

Hargreaves, C. E., Gregory, P. J., & Bengough, A. G. (2008) · Plant and Soil · doi:10.1007/s11104-008-9780-4 · Cited by 144

Relationships between carbon isotope discrimination, water use efficiency and transpiration efficiency for dryland wheat

Condon, A., Richards, R. A., & Farquhar, G. D. (1993) · Australian Journal of Agricultural Research · doi:10.1071/ar9931693 · Cited by 143

Drought as a challenge for the plant breeder

Ceccarelli, S., & Grando, S. (1996) · Springer eBooks · doi:10.1007/978-94-017-1299-6_9 · Cited by 143

Analyzing Lateral Root Development: How to Move Forward

Smet, I. D., White, P. J., Bengough, A. G., et al. (2012) · The Plant Cell · doi:10.1105/tpc.111.094292 · Cited by 142

Canopy Temperature Depression Sampling to Assess Grain Yield and Genotypic Differentiation in Winter Wheat

Balota, M., Payne, W., Evett, S., & Lazar, M. (2007) · Crop Science · doi:10.2135/cropsci2006.06.0383 · Cited by 141

Stay-green quantitative trait loci’s effects on water extraction, transpiration efficiency and seed yield depend on recipient parent background

Vadez, V., Deshpande, S., Kholová, J., Hammer, G., Borrell, A. K., Talwar, H. S., & Hash, C. T. (2011) · Functional Plant Biology · doi:10.1071/fp11073 · Cited by 140

RFLP mapping of quantitative trait loci controlling abscisic acid concentration in leaves of drought-stressed maize (Zea mays L.)

Tuberosa, R., Sanguineti, M. C., Landi, P., Salvi, S., Casarini, E., & Conti, S. (1998) · Theoretical and Applied Genetics · doi:10.1007/s001220050951 · Cited by 140

QTL analysis and QTL-based prediction of flowering phenology in recombinant inbred lines of barley

Yin, X. (2005) · Journal of Experimental Botany · doi:10.1093/jxb/eri090 · Cited by 139

The large-effect drought-resistance QTL qtl12.1 increases water uptake in upland rice

Bernier, J., Serraj, R., Kumar, A., Venuprasad, R., Impa, S. M., Gowda, V., Oane, R. H., Spaner, D., & Atlin, G. N. (2008) · Field Crops Research · doi:10.1016/j.fcr.2008.07.010 · Cited by 139

Statistical models for genotype by environment data: from conventional ANOVA models to eco-physiological QTL models

van Eeuwijk, F. A., Malosetti, M., Yin, X., Struik, P. C., & Stam, P. (2005) · Australian Journal of Agricultural Research · doi:10.1071/ar05153 · Cited by 139

Quantitative trait loci associated with stomatal conductance, leaf rolling and heading date mapped in upland rice (Oryza sativa)

Price, A. H., Young, E., & Tomos, A. D. (1997) · New Phytologist · doi:10.1046/j.1469-8137.1997.00818.x · Cited by 139

Comparison of Measurement Methods of Osmotic Adjustment in Rice Cultivars

Babu, R. C., Pathan, M. S., Blum, A., et al. (1999) · Crop Science · doi:10.2135/cropsci1999.0011183x003900010024x · Cited by 138

Association of water spectral indices with plant and soil water relations in contrasting wheat genotypes

Gutiérrez, M., Reynolds, M. P., & Klatt, A. R. (2010) · Journal of Experimental Botany · doi:10.1093/jxb/erq156 · Cited by 138

Toward positional cloning of Vgt1, a QTL controlling the transition from the vegetative to the reproductive phase in maize

Salvi, S., Tuberosa, R., Chiapparino, E., Maccaferri, M., Veillet, S., van Beuningen, L., Isaac, P. G., Edwards, K., & Phillips, R. L. (2002) · Plant Molecular Biology · doi:10.1023/a:1014838024509 · Cited by 137

Divergent selection for osmotic adjustment results in improved drought tolerance in maize (Zea mays L.) in both early growth and flowering phases

Chimenti, C. A., Marcantonio, M., & Hall, A. J. (2005) · Field Crops Research · doi:10.1016/j.fcr.2005.04.003 · Cited by 137

Major quantitative trait loci for seminal root morphology of wheat seedlings

Ren, Y., He, X., Liu, D., Li, J., Zhao, X., Li, B., Tong, Y., Zhang, A., & Li, Z. (2011) · Molecular Breeding · doi:10.1007/s11032-011-9605-7 · Cited by 136

High-throughput SNP discovery and genotyping in durum wheat (Triticum durum Desf.)

Trebbi, D., Maccaferri, M., de Heer, P., Sørensen, A. P., Giuliani, S., Salvi, S., Sanguineti, M. C., Massi, A., van der Vossen, E. A. G., & Tuberosa, R. (2011) · Theoretical and Applied Genetics · doi:10.1007/s00122-011-1607-7 · Cited by 135

Mapping QTLs and QTL × environment interaction for CIMMYT maize drought stress program using factorial regression and partial least squares methods

Vargas, M., van Eeuwijk, F. A., Crossa, J. L., & Ribaut, J. (2006) · Theoretical and Applied Genetics · doi:10.1007/s00122-005-0204-z · Cited by 135

A QTL on chromosome 6A in bread wheat (Triticum aestivum) is associated with longer coleoptiles, greater seedling vigour and final plant height

Spielmeyer, W., Hyles, J., Joaquim, P., Azanza, F., Bonnett, D. G., Ellis, M., Moore, C., & Richards, R. A. (2007) · Theoretical and Applied Genetics · doi:10.1007/s00122-007-0540-2 · Cited by 132

Osmotic adjustment leads to anomalously low estimates of relative water content in wheat and barley

Boyer, J. S., James, R. A., Munns, R., Condon, T., & Passioura, J. B. (2008) · Functional Plant Biology · doi:10.1071/fp08157 · Cited by 132

Genomewide Selection for Rapid Introgression of Exotic Germplasm in Maize

Bernardo, R. (2009) · Crop Science · doi:10.2135/cropsci2008.08.0452 · Cited by 132

Crop Modeling, QTL Mapping, and Their Complementary Role in Plant Breeding

Yin, X., Stam, P., Kropff, M. J., & Schapendonk, A. H. C. M. (2003) · Agronomy Journal · doi:10.2134/agronj2003.0090 · Cited by 131

Field evaluation of upland rice lines selected for QTLs controlling root traits

Steele, K. A., Virk, D. S., Kumar, R., Prasad, C. S., & Witcombe, J. R. (2006) · Field Crops Research · doi:10.1016/j.fcr.2006.11.002 · Cited by 130

On Systems Thinking, Systems Biology, and the in Silico Plant

Hammer, G., Sinclair, T. R., Chapman, S. C., & van Oosterom, E. J. (2004) · PLANT PHYSIOLOGY · doi:10.1104/pp.103.034827 · Cited by 129

Principles of Soil and Plant Water Relations

Yanosky, T. M. (2005) · Journal of Environmental Quality · doi:10.2134/jeq2005.0006br · Cited by 127

Locating QTLs controlling constitutive root traits in the rice population IAC 165 × Co39

Courtois, B., Shen, L., Petalcorin, W., Carandang, S., Mauleon, R., & Li, Z. (2003) · Euphytica · doi:10.1023/b:euph.0000004987.88718.d6 · Cited by 127

Scaling up: the essence of effective agricultural research

Passioura, J. B. (2010) · Functional Plant Biology · doi:10.1071/fp10106 · Cited by 126

Studying the genetic basis of drought tolerance in sorghum by managed stress trials and adjustments for phenological and plant height differences

Sabadin, P. K., Malosetti, M., Boer, M. P., TARDIN, F. D., dos Santos, F. G., Guimarães, C. T., Gomide, R. L., Andrade, C. L. T., de Albuquerque, P. E. P., Caniato, F. F., et al. (2012) · Theoretical and Applied Genetics · doi:10.1007/s00122-012-1795-9 · Cited by 125

Changes in drought tolerance in maize associated with fifty years of breeding for yield in the US Corn Belt [Zea mays L.]

Campos, H., Cooper, M., Edmeades, G. O., Löffler, C. M., Schussler, J. R., & Ibáñez, M. Á. T. (2006) · Maydica · Cited by 125

Phenotyping transgenic wheat for drought resistance

Pierre, C. S., Crossa, J. L., Bonnett, D. G., Yamaguchi‐Shinozaki, K., & Reynolds, M. P. (2012) · Journal of Experimental Botany · doi:10.1093/jxb/err385 · Cited by 124

Using Factor Analytic Models for Joining Environments and Genotypes without Crossover Genotype × Environment Interaction

Burgueño, J. A., Crossa, J. L., Cornelius, P. L., & Yang, R. (2008) · Crop Science · doi:10.2135/cropsci2007.11.0632 · Cited by 123

Fine mapping of QTLs for rice grain yield under drought reveals sub-QTLs conferring a response to variable drought severities

Dixit, S., Swamy, B. P. M., Vikram, P., et al. (2012) · Theoretical and Applied Genetics · doi:10.1007/s00122-012-1823-9 · Cited by 122

Searching for quantitative trait loci controlling root traits in maize: a critical appraisal

Tuberosa, R., Salvi, S., Sanguineti, M. C., Maccaferri, M., Giuliani, S., & Landi, P. (2003) · Springer eBooks · doi:10.1007/978-94-017-2923-9_5 · Cited by 121

Effect of leaf structure and water status on carbon isotope discrimination in field‐grown durum wheat

Araus, J. L., Amaro, T., ZUHAIR, Y., & Nachit, M. M. (1997) · Plant Cell & Environment · doi:10.1046/j.1365-3040.1997.d01-43.x · Cited by 120

Genotypic Variation in Response of Rainfed Lowland Rice to Drought and Rewatering

Sigari, T. A., Yamauchi, A., Kamoshita, A., et al. (2000) · Plant Production Science · doi:10.1626/pps.3.180 · Cited by 118

A consensus map of QTLs controlling the root length of maize

Hund, A., Reimer, R., & Messmer, R. (2011) · Plant and Soil · doi:10.1007/s11104-011-0735-9 · Cited by 117

Searching for quantitative trait loci controlling root traits in maize: a critical appraisal

Tuberosa, R., Salvi, S., Sanguineti, M. C., Maccaferri, M., Giuliani, S., & Landi, P. (2003) · Plant and Soil · doi:10.1023/a:1026146615248 · Cited by 116

Soil heterogeneity at the field scale: a challenge for precision crop protection

Pätzold, S., Mertens, F. M., Bornemann, L., Koleczek, B., Franke, J., Feilhauer, H., & Welp, G. (2008) · Precision Agriculture · doi:10.1007/s11119-008-9077-x · Cited by 113

Comparative analysis of expressed sequence tags (ESTs) between drought-tolerant and -susceptible genotypes of chickpea under terminal drought stress

Deokar, A., Kondawar, V., Jain, P. K., Karuppayil, S. M., Raju, N. L., Vadez, V., Varshney, R. K., & Srinivasan, R. (2011) · BMC Plant Biology · doi:10.1186/1471-2229-11-70 · Cited by 112

Upland rice grown in soil-filled chambers and exposed to contrasting water-deficit regimes

Price, A. H., Steele, K. A., Gorham, J., et al. (2002) · Field Crops Research · doi:10.1016/s0378-4290(02)00012-6 · Cited by 111

Interaction between rainfall and nitrogen fertilisation of wheat in environments prone to terminal drought: economic and environmental risk analysis

Sadras, V. O. (2002) · Field Crops Research · doi:10.1016/s0378-4290(02)00083-7 · Cited by 111

Genomics and the physiologist: bridging the gap between genes and crop response

Edmeades, G. O., McMaster, G. S., White, J. W., & Campos, H. (2004) · Field Crops Research · doi:10.1016/j.fcr.2004.07.002 · Cited by 111

Novel QTLs for growth angle of seminal roots in wheat (Triticum aestivum L.)

Hamada, A., Nitta, M., Nasuda, S., Kato, K., Fujita, M., Matsunaka, H., & Okumoto, Y. (2011) · Plant and Soil · doi:10.1007/s11104-011-1075-5 · Cited by 110

Dealing with the genotypexenvironment interaction via a modelling approach: a comparison of QTLs of maize leaf length or width with QTLs of model parameters

Reymond, M. (2004) · Journal of Experimental Botany · doi:10.1093/jxb/erh200 · Cited by 110

QTL analysis of drought-related traits and grain yield in relation to genetic variation for leaf abscisic acid concentration in field-grown maize

Sanguineti, M. C., Tuberosa, R., Landi, P., Salvi, S., Maccaferri, M., Casarini, E., & Conti, S. (1999) · Journal of Experimental Botany · doi:10.1093/jxb/50.337.1289 · Cited by 109

Physiological traits and cereal germplasm for sustainable agricultural systems

Richards, R. A., Watt, M., & Rebetzke, G. J. (2006) · Euphytica · doi:10.1007/s10681-006-9286-1 · Cited by 108

Differential Wilting among Soybean Genotypes in Response to Water Deficit

King, C. A., Purcell, L. C., & Brye, K. R. (2009) · Crop Science · doi:10.2135/cropsci2008.04.0219 · Cited by 108

Quantitative Genetics and Functional-Structural Plant Growth Models: Simulation of Quantitative Trait Loci Detection for Model Parameters and Application to Potential Yield Optimization

Letort, V., Mahe, P., Cournède, P.-H., Reffye, P. D., & Courtois, B. (2007) · Annals of Botany · doi:10.1093/aob/mcm197 · Cited by 107

Using genetic mapping and genomics approaches in understanding and improving drought tolerance in pearl millet

Yadav, R. S., Sehgal, D., & Vadez, V. (2010) · Journal of Experimental Botany · doi:10.1093/jxb/erq265 · Cited by 107

Root signalling and osmotic adjustment during intermittent soil drying sustain grain yield of field grown wheat

Ali, M., Jensen, C. R., Mogensen, V. O., Andersen, M. N., & Henson, I. E. (1999) · Field Crops Research · doi:10.1016/s0378-4290(99)00003-9 · Cited by 106

Root-ABA1 QTL affects root lodging, grain yield, and other agronomic traits in maize grown under well-watered and water-stressed conditions

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Identification of Hordeum spontaneum QTL alleles improving field performance of barley grown under rainfed conditions

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