Genetic control of nodal root angle in sorghum and its implications on water extraction

Genetic Variability and Control of Nodal Root Angle in Sorghum

Crop Science ◽

10.2135/cropsci2011.01.0038 ◽

2011 ◽

Vol 51 (5) ◽

pp. 2011-2020 ◽

Cited By ~ 40

Author(s):

Vijaya Singh ◽

Erik J. van Oosterom ◽

David R. Jordan ◽

Colleen H. Hunt ◽

Graeme L. Hammer

Keyword(s):

Genetic Variability ◽

Root Angle ◽

Nodal Root ◽

And Control ◽

Nodal Root Angle

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Development of a phenotyping platform for high throughput screening of nodal root angle in sorghum

Plant Methods ◽

10.1186/s13007-017-0206-2 ◽

2017 ◽

Vol 13 (1) ◽

Cited By ~ 16

Author(s):

Dinesh C. Joshi ◽

Vijaya Singh ◽

Colleen Hunt ◽

Emma Mace ◽

Erik van Oosterom ◽

...

Keyword(s):

High Throughput ◽

High Throughput Screening ◽

Root Angle ◽

Nodal Root ◽

Nodal Root Angle

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Wheat shovelomics II: Revealing relationships between root crown traits and crop growth

10.1101/280917 ◽

2018 ◽

Cited By ~ 6

Author(s):

Shaunagh Slack ◽

Larry M. York ◽

Yadgar Roghazai ◽

Jonathan Lynch ◽

Malcolm Bennett ◽

...

Keyword(s):

Grain Yield ◽

Field Experiments ◽

Root Length Density ◽

Field Methods ◽

Stay Green ◽

Dh Population ◽

Root Angle ◽

Nodal Root ◽

Nodal Root Angle ◽

Crown Traits

AbstractOptimization of root system architecture represents an important goal in wheat breeding. Adopting new field methods for root phenotyping is key to delivering this goal. A novel ‘shovelomics’ method was applied for phenotyping root crown traits to characterize the Savannah x Rialto doubled-haploid (DH) population in two field experiments under irrigated and rain-fed conditions. Trait validation was carried out through soil coring on a subset of 14 DH lines and the two parents. We observed that drought reduced grain yield per plant by 21.0%. Under rain-fed conditions, nodal root angle and roots shoot-1 were positively associated with root length density (RLD) at 40-60 cm depth; RLD was also positively correlated with grain yield. Nodal root angle and roots shoot-1 were also positively associated with canopy stay green and grain yield under rain-fed conditions. We conclude that shovelomics is a valuable technique for quantifying genetic variation in nodal root traits in wheat, revealing nodal root angle and root number per shoot provide useful selection criteria in breeding programs aimed at improving drought tolerance in wheat.HighlightNodal root angle and number shoot-1 measured using ‘shovelomics’ were positively associated with root density at depth and yield under drought in a Savanah x Rialto wheat DH population.

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Genetic variation in seminal and nodal root angle and their association with grain yield of maize under water-stressed field conditions

Plant and Soil ◽

10.1007/s11104-015-2554-x ◽

2015 ◽

Vol 397 (1-2) ◽

pp. 213-225 ◽

Cited By ~ 14

Author(s):

M. Liakat Ali ◽

Jon Luetchens ◽

Josiel Nascimento ◽

Timothy M. Shaver ◽

Greg R. Kruger ◽

...

Keyword(s):

Genetic Variation ◽

Grain Yield ◽

Field Conditions ◽

Root Angle ◽

Nodal Root ◽

Nodal Root Angle ◽

Stressed Field

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QTL for nodal root angle in sorghum (Sorghum bicolor L. Moench) co-locate with QTL for traits associated with drought adaptation

Theoretical and Applied Genetics ◽

10.1007/s00122-011-1690-9 ◽

2011 ◽

Vol 124 (1) ◽

pp. 97-109 ◽

Cited By ~ 127

Author(s):

E. S. Mace ◽

V. Singh ◽

E. J. Van Oosterom ◽

G. L. Hammer ◽

C. H. Hunt ◽

...

Keyword(s):

Sorghum Bicolor ◽

Drought Adaptation ◽

Root Angle ◽

Nodal Root ◽

Nodal Root Angle ◽

Sorghum Bicolor L

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Wheat shovelomics I: A field phenotyping approach for characterising the structure and function of root systems in tillering species

10.1101/280875 ◽

2018 ◽

Cited By ~ 13

Author(s):

Larry M. York ◽

Shaunagh Slack ◽

Malcolm J Bennett ◽

M John Foulkes

Keyword(s):

Genetic Control ◽

Principal Component ◽

Root Systems ◽

Wheat Root ◽

Root Number ◽

Main Shoot ◽

Growth Angle ◽

Nodal Root ◽

Field Phenotyping ◽

And Function

AbstractWheat represents a major crop, yet the current rate of yield improvement is insufficient to meet its projected global food demand. Breeding root systems more efficient for water and nitrogen capture represents a promising avenue for accelerating yield gains. Root crown phenotyping, or shovelomics, relies on excavation of the upper portions of root systems in the field and measuring root properties such as numbers, angles, densities and lengths. We report a new shovelomics method that images the whole wheat root crown, then partitions it into the main shoot and tillers for more intensive phenotyping. Root crowns were phenotyped using the new method from the Rialto × Savannah population consisting of both parents and 94 doubled-haploid lines. For the whole root crown, the main shoot, and tillers, root phenes including nodal root number, growth angle, length, and diameter were measured. Substantial variation and heritability were observed for all phenes. Principal component analysis revealed latent constructs that imply pleiotropic genetic control of several related root phenes. Correlational analysis revealed that nodal root number and growth angle correlate among the whole crown, main shoot, and tillers, indicating shared genetic control among those organs. We conclude that this phenomics approach will be useful for breeding ideotype root systems in tillering species.

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