Shovelomics: high throughput phenotyping of maize (Zea mays L.) root architecture in the field View Full Text


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Article Info

DATE

2011-04

AUTHORS

Samuel Trachsel, Shawn M. Kaeppler, Kathleen M. Brown, Jonathan P. Lynch

ABSTRACT

We present a method to visually score 10 root architectural traits of the root crown of an adult maize plant in the field in a few minutes. Phenotypic profiling of three recombinant inbred line (RIL) populations of maize (Zea mays L.; B73xMo17, Oh43xW64a, Ny821xH99) was conducted in 2008 in a silt loam soil in Pennsylvania and in a sandy soil in Wisconsin, and again in 2009 in Pennsylvania. Numbers, angles and branching pattern of crown and brace roots were assessed visually at flowering. Depending on the soil type in which plants were grown, sample processing took from three (sand) to 8 min (silt-loam). Visual measurement of the root crown required 2 min per sample irrespective of the environment. Visual scoring of root crowns gave a reliable estimation of values for root architectural traits as indicated by high correlations between measured and visually scored trait values for numbers (r2 = 0.46–0.97), angles (r2 = 0.66–0.76), and branching (r2 = 0.54–0.88) of brace and crown roots. Based on the visual evaluation of root crown traits it was possible to discriminate between populations. RILs derived from the cross NY821 x H99 generally had the greatest number of roots, the highest branching density and the most shallow root angles, while inbred lines from the cross between OH43 x W64a generally had the steepest root angles. The ranking of genotypes remained the same across environments, emphasizing the suitability of the method to evaluate genotypes across environments. Scoring of brace roots was better correlated with the actual measurements compared to crown roots. The visual evaluation of root architecture will be a valuable tool in tailoring crop root systems to specific environments. More... »

PAGES

75-87

References to SciGraph publications

  • 2009-05. Rooting depth and water use efficiency of tropical maize inbred lines, differing in drought tolerance in PLANT AND SOIL
  • 1989-10. Relationship between root elongation rate and diameter and duration of growth of lateral roots of maize in PLANT AND SOIL
  • 2005-08. Mapping of QTLs for lateral root branching and length in maize (Zea mays L.) under differential phosphorus supply in THEORETICAL AND APPLIED GENETICS
  • 1998-06. Soil strength and water content influences on corn root distribution in a sandy soil in PLANT AND SOIL
  • 1994-01. Evaluation of the U.S. cucumber germplasm collection for root size using a subjective rating technique in EUPHYTICA
  • 2009-12. Growth of axile and lateral roots of maize: I development of a phenotying platform in PLANT AND SOIL
  • 1994-06. Growth direction of nodal roots in rice: its variation and contribution to root system formation in PLANT AND SOIL
  • 2006-09. Genotypic Variation in Root Growth Angle in Rice (Oryza sativa L.) and its Association with Deep Root Development in Upland Fields with Different Water Regimes in PLANT AND SOIL
  • 2001-05. Effect of phosphorus availability on basal root shallowness in common bean in PLANT AND SOIL
  • 2001-12. Topsoil foraging – an architectural adaptation of plants to low phosphorus availability in PLANT AND SOIL
  • 1990. Influence du poids de la semence et de la profondeur de semis sur la croissance et le développement de la plantule de maïs in AGRONOMY FOR SUSTAINABLE DEVELOPMENT
  • 2009-11. Mapping of QTLs for lateral and axile root growth of tropical maize in THEORETICAL AND APPLIED GENETICS
  • 2005-02. Rhizoeconomics: Carbon costs of phosphorus acquisition in PLANT AND SOIL
  • 2005-03. Mapping of QTL controlling root hair length in maize (Zea mays L.) under phosphorus deficiency in PLANT AND SOIL
  • 2010-08. Morphological and architectural development of root systems in sorghum and maize in PLANT AND SOIL
  • 1997-08. Solving the puzzle of gravitropism — has a lost piece been found? in PLANTA
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    URI

    http://scigraph.springernature.com/pub.10.1007/s11104-010-0623-8

    DOI

    http://dx.doi.org/10.1007/s11104-010-0623-8

    DIMENSIONS

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