Future Scenarios for Plant Phenotyping

Annual Review of Plant Biology - Tập 64 Số 1 - Trang 267-291 - 2013
Fabio Fiorani1, Ulrich Schurr1
1IBG-2: Plant Sciences, Institute for Bio- and Geosciences, Forschungszentrum Jülich, 52425 Jülich, Germany;,

Tóm tắt

With increasing demand to support and accelerate progress in breeding for novel traits, the plant research community faces the need to accurately measure increasingly large numbers of plants and plant parameters. The goal is to provide quantitative analyses of plant structure and function relevant for traits that help plants better adapt to low-input agriculture and resource-limited environments. We provide an overview of the inherently multidisciplinary research in plant phenotyping, focusing on traits that will assist in selecting genotypes with increased resource use efficiency. We highlight opportunities and challenges for integrating noninvasive or minimally invasive technologies into screening protocols to characterize plant responses to environmental challenges for both controlled and field experimentation. Although technology evolves rapidly, parallel efforts are still required because large-scale phenotyping demands accurate reporting of at least a minimum set of information concerning experimental protocols, data management schemas, and integration with modeling. The journey toward systematic plant phenotyping has only just begun.

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Tài liệu tham khảo

Araus JL, 2012, Front. Plant Physiol., 3, 305

10.1111/j.1365-313X.2008.03739.x

Arsenault JL, 1995, Hortic. Sci., 30, 906

10.1111/j.1469-8137.2011.03756.x

10.1146/annurev.arplant.59.032607.092759

10.1016/j.biosystemseng.2006.07.004

10.3390/s120101052

10.1093/jxb/erq201

10.1016/j.neuroscience.2009.01.027

10.1126/science.1090022

10.1111/j.1365-3040.2007.01702.x

10.1007/978-1-4419-7491-4_4

10.1080/07352681003617285

10.1104/pp.110.170811

10.1111/j.1365-313X.2012.04927.x

10.1186/1471-2229-8-82

Campbell JB, 2007, Introduction to Remote Sensing

10.1111/j.1744-7348.2007.00116.x

10.1034/j.1399-3054.2003.00143.x

10.1002/biot.200800242

10.1071/FP10241

10.1104/pp.110.169102

10.1104/pp.111.185033

10.1034/j.1601-183X.2002.10201.x

10.1104/pp.90.4.1233

10.1007/s11104-007-9470-7

10.1016/j.copbio.2011.11.003

10.1093/aob/mcr064

10.1105/tpc.111.094292

10.1007/s11104-005-3224-1

10.1007/s00122-010-1458-7

10.1093/aob/mcs107

10.1007/BF02181809

10.1186/1746-4811-7-44

10.1083/jcb.200302097

10.1104/pp.103.036822

10.1071/FP11021

Evans GC, 1972, The Quantitative Analysis of Plant Growth

10.1186/1471-2229-11-77

10.1111/j.1365-313X.2009.04009.x

10.1126/science.325_380

10.1016/j.copbio.2011.12.010

10.2135/cropsci1998.0011183X003800060011x

10.1093/jxb/err421

10.1104/pp.109.140558

10.1111/j.1365-3040.2011.02460.x

10.1071/FP09185

10.1016/j.tplants.2011.09.005

10.1186/1471-2229-12-116

10.1126/science.1183899

10.1093/jxb/eri303

10.1186/1746-4811-7-2

10.1016/j.scienta.2012.02.002

10.1111/j.1469-8137.2005.01609.x

10.1023/A:1026179919689

Grift T, 2008, J. Biomechatron. Eng., 1, 37

10.1016/B978-0-12-155070-7.50006-8

10.1016/j.copbio.2011.10.006

10.1186/1471-2105-12-148

10.1186/1746-4811-7-3

10.1093/jxb/err273

10.1023/B:PLSO.0000030171.28821.55

10.1111/j.1469-8137.2004.01015.x

10.1111/j.1365-3040.2008.01891.x

10.1038/nrg2897

10.1007/s11104-008-9843-6

10.1104/pp.109.150748

10.1111/j.1365-313X.2009.03888.x

10.1071/FP09095

10.1071/FP09123

10.1104/pp.111.186676

10.1111/j.1365-313X.2009.04116.x

10.1023/A:1006773112047

10.1016/S0169-5347(03)00071-5

Klose R, 2009, Bornimer Agrartech. Ber., 69, 93

10.1016/S0034-4257(70)80021-9

10.1016/j.rse.2008.10.018

10.1007/s11120-005-5092-1

10.1016/j.plantsci.2010.03.006

Kümmerlen B, 1999, Handbook of Computer Vision and Applications, 3, 763

10.1007/s11104-009-0005-2

10.1016/S0981-9428(00)80097-2

10.1016/j.rse.2003.09.004

10.1104/pp.111.179895

10.1104/pp.107.115220

10.1007/978-1-61779-237-3_9

10.1104/pp.111.175414

10.1006/jtbi.1996.0335

10.1104/pp.109.148338

10.1093/pcp/pcs043

10.1093/jexbot/51.345.659

10.1111/j.1365-3040.2009.01931.x

10.1046/j.1365-313X.2002.01322.x

10.1016/j.rse.2009.05.003

10.1007/s00122-009-1074-6

10.1186/1471-2229-12-6

10.1146/annurev-arplant-042809-112116

10.1007/978-3-540-69321-5_50

10.1093/jxb/erq199

10.1071/FP09184

10.1071/FP12023

10.1105/tpc.10.7.1121

10.1093/jxb/erl142

10.1186/1471-2229-12-63

10.1111/j.1469-8137.2012.04086.x

10.1016/S0016-7061(01)00127-6

10.1071/FP12049

10.1071/FP12028

10.1093/jxb/erp358

10.1111/j.1365-3040.2008.01916.x

10.1071/FP11164

Reuzeau C, 2005, Mol. Plant Breed., 3, 753

Reynolds MP, 2012, Physiological Breeding I: Interdisciplinary Approaches to Improve Crop Adaptation

10.2135/cropsci1999.3961611x

10.1111/j.1365-3040.2006.01611.x

10.1093/jxb/err385

10.1126/stke.3662006re17

Schlichting C, 1998, Phenotypic Evolution: A Reaction Norm Perspective

10.1016/j.tplants.2011.02.006

10.1007/BF00029749

10.1111/j.1365-3040.2005.01490.x

10.1080/01431160701772500

10.1007/s00271-011-0268-2

10.1038/nbt.1800

10.1007/978-3-662-04188-8_8

10.1046/j.1365-3040.1997.d01-104.x

10.1016/S1360-1385(02)00004-3

10.1016/S1360-1385(00)01797-0

10.1046/j.1525-142X.2003.03005.x

130. Sun DW, ed. 2009.Infrared Spectroscopy for Food Quality Analysis and Control. London: Academic. 415 pp.

10.1093/aob/mcm009

10.1093/jxb/erq135

10.1093/jxb/err269

10.1126/science.1183700

10.1104/pp.103.034389

10.1007/s11104-010-0623-8

Tuberosa R, 2011, Drought Phenotyping in Crops: From Theory to Practice, 3

10.1111/j.1469-8137.2010.03284.x

10.1071/FP12019

10.1111/j.1469-8137.2007.02002.x

10.1146/annurev.arplant.59.032607.092819

10.1093/aob/mcs026

10.1093/jxb/ers111

10.1111/j.1365-313X.2007.03330.x

10.1186/1746-4811-4-27

10.1016/j.pbi.2009.01.001

10.1071/FP09167

10.1016/S0065-2113(08)00604-4

10.2134/agronj2003.0257

Zhang X, 2012, Genes Genomes Genet., 2, 29, 10.1534/g3.111.001487

151. Zude M, ed. 2009.Optical Monitoring of Fresh and Processed Agricultural Crops. Boca Raton, FL: CRC. 457 pp.