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How can we harness quantitative genetic variation in crop root systems for agricultural improvement? 被引量:6

How can we harness quantitative genetic variation in crop root systems for agricultural improvement?
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摘要 Root systems are a black box obscuring a comprehensive understanding of plant function,from the ecosystem scale down to the individual. In particular,a lack of knowledge about the genetic mechanisms and environmental effects that condition root system growth hinders our ability to develop the next generation of crop plants for improved agricultural productivity and sustainability. We discuss how the methods and metrics we use to quantify root systems can affect our ability to understand them,how we can bridge knowledge gaps and accelerate the derivation of structurefunction relationships for roots,and why a detailed mechanistic understanding of root growth and function will be important for future agricultural gains. Root systems are a black box obscuring a comprehensive understanding of plant function,from the ecosystem scale down to the individual. In particular,a lack of knowledge about the genetic mechanisms and environmental effects that condition root system growth hinders our ability to develop the next generation of crop plants for improved agricultural productivity and sustainability. We discuss how the methods and metrics we use to quantify root systems can affect our ability to understand them,how we can bridge knowledge gaps and accelerate the derivation of structurefunction relationships for roots,and why a detailed mechanistic understanding of root growth and function will be important for future agricultural gains.
出处 《Journal of Integrative Plant Biology》 SCIE CAS CSCD 2016年第3期213-225,共13页 植物学报(英文版)
基金 supported by the Donald Danforth Plant Science Center the National Science Foundation under Award Number IIA-1355406
关键词 Architecture genetics imaging quantification root Architecture genetics imaging quantification root
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  • 1Anderson JT, Lee CR, MitchelI-Olds T (2011) Life-history QTLS and natural selection on flowering time in Boechera stricta, a perennial relative of Arabidopsis. Evolution 65:771-787.
  • 2Andrade-Sanchez P, Gore MA, Heun JT, Thorp KR, Carmo-Silva AE, French AN, Salvucci ME, White JW (2o14) Development and evaluation of a field-based high-throughput phenotyping plat- form. Funct Plant Biol 41:68-79.
  • 3Ao J, Fu J, Tian J, Yan X, Liao H (2olo) Genetic variability for root morph-architecture traits and root growth dynamics as related to phosphorus efficiency in soybean. Funct Plant Blol 37:3o4-312.
  • 4Araya T, Miyamoto M, Wibowo J, Suzuki A, Kojima S, Tsuchiya YN, Sawa S, Fukuda H, Wir~n yon N, Takahashi H (2o14) CLE-CLAVATA1 peptide-receptor signaling module regulates the expansion of plant root systems in a nitrogen-dependent manner. Proc Natl Acad Sci USA 111:2o29-2o34.
  • 5Bac-Molenaar JA, Vreugdenhil D, Granier C, Keurentjes JJB (2o15) Genome-wide association mapping of growth dynamics detects time-specific and general quantitative trait loci. J Exp Bot 66:5567-5580.
  • 6Baxter I, Dilkes BP (2012) Elemental profiles reflect plant adaptations to the environment. Science 336:1661-1663.
  • 7Baxter IR, Vitek O, Lahner B~ Muthukumar B, Borghi M, Morrissey J, Guerinot ML, Salt DE (2008) The leaf ionome as a multivariable system to detect a plant's physiological status. Proc Natl Acad Sci USA lO5:12081-12086.
  • 8Baxter IR, Ziegler G, Lahner B, Mickelbart MV, Foley R, Danku J, Armstrong P, Salt DE, Hoekenga OA (2o14) Single-kernel ionomic profiles are highly heritable indicators of genetic and environ- mental influences on elemental accumulation in maize grain (Zea mays). PLoS ONE 9:e87628.
  • 9Beebe SE, Rojas-Pierce M, Yah X, Blair MW, Pedraza F, Mufioz F, Tohme J, Lynch JP (2006) Quantitative trait loci for root architecture traits correlated with phosphorus acquisition in common bean. Crop Sci 46:413-423.
  • 10Bilder RM, Sabb FW, Cannon TD, London ED, Jentsch JD, Parker DS, Poldrack RA, Evans C, Freimer NB (2009) Phenomics: The systematic study of phenotypes on a genome-wide scale. Neuroscience 164:30-42.

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