Plasticity and co‐variation of root traits govern differential phosphorus acquisition among 20 wheat genotypes

Oikos ◽  
2021 ◽  
Author(s):  
Xin‐Xin Wang ◽  
Jiaqi Zhang ◽  
Hong Wang ◽  
Zed Rengel ◽  
Hongbo Li
Keyword(s):  
Root Traits ◽  
Phosphorus Acquisition ◽  
Wheat Genotypes

The impact of different morphological and biochemical root traits on phosphorus acquisition and seed yield of Brassica napus

2020 ◽  
Vol 258 ◽  
pp. 107960
Author(s):  
Xianjie Duan ◽  
Kemo Jin ◽  
Guangda Ding ◽  
Chuang Wang ◽  
Hongmei Cai ◽  
...  
Keyword(s):  
Brassica Napus ◽  
Seed Yield ◽  
Root Traits ◽  
Phosphorus Acquisition ◽  
The Impact

scholarly journals Soil coring at multiple field environments can directly quantify variation in deep root traits to select wheat genotypes for breeding

2014 ◽  
Vol 65 (21) ◽  
pp. 6231-6249 ◽  
Author(s):  
A. P. Wasson ◽  
G. J. Rebetzke ◽  
J. A. Kirkegaard ◽  
J. Christopher ◽  
R. A. Richards ◽  
...  
Keyword(s):  
Root Traits ◽  
Wheat Genotypes ◽  
Deep Root ◽  
Multiple Field

scholarly journals Deciphering the change in root system architectural traits under limiting and non-limiting phosphorus in Indian bread wheat germplasm

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0255840
Author(s):  
Palaparthi Dharmateja ◽  
Manjeet Kumar ◽  
Rakesh Pandey ◽  
Pranab Kumar Mandal ◽  
Prashanth Babu ◽  
...  
Keyword(s):  
Root System ◽  
Bread Wheat ◽  
Root Length ◽  
Phosphorus Uptake ◽  
Root Traits ◽  
System Architectures ◽  
Wheat Genotypes ◽  
Uptake Efficiency ◽  
Wide Range ◽  
Use Efficiency

The root system architectures (RSAs) largely decide the phosphorus use efficiency (PUE) of plants by influencing the phosphorus uptake. Very limited information is available on wheat’s RSAs and their deciding factors affecting phosphorus uptake efficiency (PupE) due to difficulties in adopting scoring values used for evaluating root traits. Based on our earlier research experience on nitrogen uptake efficiency screening under, hydroponics and soil-filled pot conditions, a comprehensive study on 182 Indian bread wheat genotypes was carried out under hydroponics with limited P (LP) and non-limiting P (NLP) conditions. The findings revealed a significant genetic variation, root traits correlation, and moderate to high heritability for RSAs traits namely primary root length (PRL), total root length (TRL), total root surface area (TSA), root average diameter (RAD), total root volume (TRV), total root tips (TRT) and total root forks (TRF). In LP, the expressions of TRL, TRV, TSA, TRT and TRF were enhanced while PRL and RAD were diminished. An almost similar pattern of correlations among the RSAs was also observed in both conditions except for RAD. RAD exhibited significant negative correlations with PRL, TRL, TSA, TRT and TRF under LP (r = -0.45, r = -0.35, r = -0.16, r = -0.30, and r = -0.28 respectively). The subclass of TRL, TSA, TRV and TRT representing the 0–0.5 mm diameter had a higher root distribution percentage in LP than NLP. Comparatively wide range of H’ value i.e. 0.43 to 0.97 in LP than NLP indicates that expression pattern of these traits are highly influenced by the level of P. In which, RAD (0.43) expression was reduced in LP, and expressions of TRF (0.91) and TSA (0.97) were significantly enhanced. The principal component analysis for grouping of traits and genotypes over LP and NLP revealed a high PC1 score indicating the presence of non-crossover interactions. Based on the comprehensive P response index value (CPRI value), the top five highly P efficient wheat genotypes namely BW 181, BW 103, BW 104, BW 143 and BW 66, were identified. Considering the future need for developing resource-efficient wheat varieties, these genotypes would serve as valuable genetic sources for improving P efficiency in wheat cultivars. This set of genotypes would also help in understanding the genetic architecture of a complex trait like P use efficiency.

scholarly journals Root traits and root biomass allocation impact how wheat genotypes respond to organic amendments and earthworms

PLoS ONE ◽  
2018 ◽  
Vol 13 (7) ◽  
pp. e0200646 ◽  
Author(s):  
Junaidi Junaidi ◽  
Cynthia M. Kallenbach ◽  
Patrick F. Byrne ◽  
Steven J. Fonte
Keyword(s):  
Biomass Allocation ◽  
Root Biomass ◽  
Organic Amendments ◽  
Root Traits ◽  
Wheat Genotypes

scholarly journals Rooting density differentiates wheat genotypes through Bayesian modeling

2016 ◽  
Author(s):  
Anton P. Wasson ◽  
Grace S. Chiu ◽  
Alexander B. Zwart ◽  
Timothy R. Binns
Keyword(s):  
Field Data ◽  
Nonlinear Modeling ◽  
Heritability Estimate ◽  
Root Traits ◽  
Phenotypic Traits ◽  
Bayesian Hierarchical ◽  
Wheat Genotypes ◽  
Field Samples ◽  
Rooting Density ◽  
Intensity Functions

AbstractWheat pre-breeders use soil coring and core-break counts to phenotype root architecture traits, with data collected on rooting density for hundreds of genotypes in small increments of depth. The measured densities are both large datasets and highly variable even within the same genotype, hence, any rigorous, comprehensive statistical analysis of such complex field data would be technically challenging. Traditionally, most attributes of the field data are therefore discarded in favor of simple numerical summary descriptors which retain much of the high variability exhibited by the raw data. This poses practical challenges: although plant scientists have established that root traits do drive resource capture in crops, traits that are more randomly (rather than genetically) determined are difficult to breed for. In this paper we develop a Bayesian hierarchical nonlinear modeling approach that utilizes the complete field data for wheat genotypes to fit anidealizedrelative intensity function for the root distribution over depth. Our approach was used to determineheritability: how much of the variation between field samples was purely random versus being mechanistically driven by the plant genetics? Based on the genotypic intensity functions, the overall heritability estimate was 0.62 (95% Bayesian confidence interval was 0.52 to 0.71). Despite root count profiles that were statistically very noisy, our Bayesian analysis led to denoised profiles which exhibited rigorously discernible phenotypic traits. The profile-specific traits could be representative of a genotype and thus can be used as a quantitative tool to associate phenotypic traits with specific genotypes.

scholarly journals Phosphorus Acquisition Efficiency Related to Root Traits: Is Mycorrhizal Symbiosis a Key Factor to Wheat and Barley Cropping?

2018 ◽  
Vol 9 ◽  
Author(s):  
Pedro Campos ◽  
Fernando Borie ◽  
Pablo Cornejo ◽  
Juan A. López-Ráez ◽  
Álvaro López-García ◽  
...  
Keyword(s):  
Root Traits ◽  
Mycorrhizal Symbiosis ◽  
Phosphorus Acquisition ◽  
Key Factor

scholarly journals Root traits and rhizosphere processes reflect differential phosphorus acquisition strategies in contrasting Populus clones

2020 ◽  
Vol 457 ◽  
pp. 117750 ◽  
Author(s):  
Zhichao Xia ◽  
Yue He ◽  
Lei Yu ◽  
Jie Miao ◽  
Helena Korpelainen ◽  
...  
Keyword(s):  
Root Traits ◽  
Phosphorus Acquisition ◽  
Acquisition Strategies ◽  
Rhizosphere Processes

scholarly journals Tradeoffs among phosphorus-acquisition root traits of crop species for agroecological intensification

2020 ◽  
Author(s):  
Nicolas Honvault ◽  
David Houben ◽  
Cécile Nobile ◽  
Stéphane Firmin ◽  
Hans Lambers ◽  
...  
Keyword(s):  
Root Traits ◽  
Phosphorus Acquisition ◽  
Crop Species
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