Genotypic variation in durum wheat root systems at different stages of development in a Mediterranean environment

Euphytica ◽  
1993 ◽  
Vol 66 (3) ◽  
pp. 197-206 ◽  
Author(s):  
Rosella Motzo ◽  
Giovanna Attene ◽  
Mauro Deidda
Keyword(s):  
Durum Wheat ◽  
Genotypic Variation ◽  
Root Systems ◽  
Wheat Root ◽  
Mediterranean Environment ◽  
Stages Of Development

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

2018 ◽  
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.

Durum Wheat Root Distribution and Agronomical Performance as Influenced by Soil Properties

Crop Science ◽  
2010 ◽  
Vol 50 (3) ◽  
pp. 803-807 ◽  
Author(s):  
Ismaïl Outoukarte ◽  
Majdouline Belaqziz ◽  
Adam Price ◽  
Nasrelhaq Nsarellah ◽  
Ismaïl El Hadrami
Keyword(s):  
Soil Properties ◽  
Durum Wheat ◽  
Root Distribution ◽  
Wheat Root

scholarly journals Phenotypic variability in bread wheat root systems at the early vegetative stage

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Yinglong Chen ◽  
Jairo Palta ◽  
P. V. Vara Prasad ◽  
Kadambot H. M. Siddique
Keyword(s):  
Bread Wheat ◽  
Phenotypic Variability ◽  
Root Systems ◽  
Wheat Root ◽  
Vegetative Stage

Effects of drought on leaf area development, biomass production and nitrogen uptake of durum wheat grown in a Mediterranean environment

1995 ◽  
Vol 46 (1) ◽  
pp. 99 ◽  
Author(s):  
F Giunta ◽  
R Motzo ◽  
M Deidda
Keyword(s):  
Durum Wheat ◽  
Leaf Area ◽  
Nitrogen Uptake ◽  
Dry Matter ◽  
Growing Season ◽  
Dry Matter Accumulation ◽  
Mediterranean Environment ◽  
Area Index ◽  
Area Development ◽  
Leaf Area Development

A field experiment was carried out in Sardinia (Italy) on durum wheat to analyse the effects of different moisture treatments, irrigated (I), rainfed (R) and stressed (S), on leaf area index (LAI), radiation intercepted (Q) and water use (WU), efficiency of conversion of radiation and water into dry matter (RUE and WUE), nitrogen uptake and carbon and nitrogen partitioning in the above-ground part of the plant. In the period between beginning of stem elongation and heading, drought affected the maximum LA1 in the most stressed treatment (4.7 in S v. about 6.9 in R and I), but not Q and WU. RUE was also lowered by drought in this period (0.68 in S v. about 0.95 g MJ-1 in R and I) as a reduced biomass was recorded in S at heading (528gm-2 in S v. 777 g m-2 on average in R and I). In contrast with the previous period, the reduction in LA1 between heading and maximum ear weight (MEW) determined a significant reduction in Q and WU, WUE and RUE, resulting, ultimately, in notable differences in the total biomass produced until MEW (1203, 930 and 546 gm-2 in I, R and S respectively). The amount of stem reserves relocated to the grain decreased as the level of stress increased, going from 223gm-2 in I to 9gm-2 in S and was accumulated almost entirely (from 76% of the total in I to 100% in S), in the post-heading period. Nitrogen percentage was not affected by the treatments applied apart from the higher values in stem and flag leaf in S later in the growing season due to an inhibition of nitrogen translocation in S. The total nitrogen uptake was lower in S (12.3gm-2) than in I (16.6gm-2) only as a consequence of the different dry matter accumulation patterns. The importance of WUE in this type of Mediterranean environment is discussed, with particular concern to the key role of modulation of leaf area development through the growing season.

scholarly journals An automatic segmentation method for scanned images of wheat root systems with dark discolourations

2009 ◽  
Vol 19 (4) ◽  
pp. 679-689 ◽  
Author(s):  
Jarosław Gocławski ◽  
Joanna Sekulska-Nalewajko ◽  
Ewa Gajewska ◽  
Marzena Wielanek
Keyword(s):  
Plant Root ◽  
Automatic Segmentation ◽  
Root Systems ◽  
Wheat Root ◽  
Health State ◽  
Segmentation Method ◽  
Wheat Roots ◽  
Fuzzy C Means Clustering ◽  
Scanned Images ◽  
Plant Root System

An automatic segmentation method for scanned images of wheat root systems with dark discolourationsThe analysis of plant root system images plays an important role in the diagnosis of plant health state, the detection of possible diseases and growth distortions. This paper describes an initial stage of automatic analysis—the segmentation method for scanned images of Ni-treated wheat roots from hydroponic culture. The main roots of a wheat fibrous system are placed separately in the scanner view area on a high chroma background (blue or red). The first stage of the method includes the transformation of a scanned RGB image into the HCI (Hue-Chroma-Intensity) colour space and then local thresholding of the chroma component to extract a binary root image. Possible chromatic discolourations, different from background colour, are added to the roots from blue or red chroma subcomponent images after thresholding. At the second stage, dark discolourations are extracted by local fuzzy c-means clustering of an HCI intensity image within the binary root mask. Fuzzy clustering is applied in local windows around the series of sample points on roots medial axes (skeleton). The performance of the proposed method is compared with hand-labelled segmentation for a series of several root systems.

Grain growth and yield formation of durum wheat grown at contrasting latitudes and water regimes in a Mediterranean environment

2006 ◽  
Vol 34 (2-3) ◽  
pp. 1021-1028 ◽  
Author(s):  
C. Royo ◽  
D. Villegas ◽  
Y. Rharrabti ◽  
R. Blanco ◽  
V. Martos ◽  
...  
Keyword(s):  
Durum Wheat ◽  
Grain Growth ◽  
Growth And Yield ◽  
Mediterranean Environment ◽  
Water Regimes ◽  
Yield Formation
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