Genetic analyses of root traits: Implications for environmental adaptation and new variety development: A review

Mathew, Isack; Shimelis, Hussein

doi:10.1111/pbr.13049

Cited by 15 publications

(8 citation statements)

References 273 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition to helping plants absorb water and nutrients from the soil, root apparatus also serves as a sensor of soil environmental stresses including heat, drought, and salt that influence plant adaptation to their environment [254]. Plants modify their root systems to maximize the availability of nutrients and water, which affects plant resilience and productivity [255].…”

Section: Root Zone Phenotypingmentioning

confidence: 99%

“…Breeders can now take advantage of sophisticated systems and sensors to observe the growth of the root system and assess root uptake of water and nutrients from soil [262][263][264]. Genotype variation in root traits consists of several features, such as total biomass, root length, root angle, number of lateral roots, and nodal roots [254,261]. Additionally, resistance to soil pathogens/pests, nutrient/water uptake, and yield of root crops are agronomically important root traits that should be introduced into breeding programs.…”

Section: Root Zone Phenotypingmentioning

confidence: 99%

“…In spite of the challenges that plant roots intrinsically harbor for measurement through phenotyping, efforts to incorporate root traits into breeding programs have been mainly performed in cereals [254,274,275]. Analysis of roots through phenotyping is pivotal for the identification of root traits that are beneficial to crops, their integration into new cultivars during the pre-breeding process, and their management using precision agriculture [255].…”

Section: Root Zone Phenotypingmentioning

confidence: 99%

See 2 more Smart Citations

Plant Physiological Analysis to Overcome Limitations to Plant Phenotyping

Haworth,

Marino,

Atzori

et al. 2023

Plants

View full text Add to dashboard Cite

Plant physiological status is the interaction between the plant genome and the prevailing growth conditions. Accurate characterization of plant physiology is, therefore, fundamental to effective plant phenotyping studies; particularly those focused on identifying traits associated with improved yield, lower input requirements, and climate resilience. Here, we outline the approaches used to assess plant physiology and how these techniques of direct empirical observations of processes such as photosynthetic CO2 assimilation, stomatal conductance, photosystem II electron transport, or the effectiveness of protective energy dissipation mechanisms are unsuited to high-throughput phenotyping applications. Novel optical sensors, remote/proximal sensing (multi- and hyperspectral reflectance, infrared thermography, sun-induced fluorescence), LiDAR, and automated analyses of below-ground development offer the possibility to infer plant physiological status and growth. However, there are limitations to such ‘indirect’ approaches to gauging plant physiology. These methodologies that are appropriate for the rapid high temporal screening of a number of crop varieties over a wide spatial scale do still require ‘calibration’ or ‘validation’ with direct empirical measurement of plant physiological status. The use of deep-learning and artificial intelligence approaches may enable the effective synthesis of large multivariate datasets to more accurately quantify physiological characters rapidly in high numbers of replicate plants. Advances in automated data collection and subsequent data processing represent an opportunity for plant phenotyping efforts to fully integrate fundamental physiological data into vital efforts to ensure food and agro-economic sustainability.

show abstract

Section: Root Zone Phenotypingmentioning

confidence: 99%

Section: Root Zone Phenotypingmentioning

confidence: 99%

Section: Root Zone Phenotypingmentioning

confidence: 99%

See 1 more Smart Citation

Plant Physiological Analysis to Overcome Limitations to Plant Phenotyping

Haworth,

Marino,

Atzori

et al. 2023

Plants

View full text Add to dashboard Cite

show abstract

“…Thus, the identification of traits that can be used as phenotypic markers capable of accessing the variability of a larger set of genes is important to enhance studies of genetic divergence between accessions in different crops [11][12][13]. In addition to contributing to a better understanding of genetic variation between individuals, some secondary traits can also help genetic gains in traits of interest through indirect selection [14,15].…”

Section: Despitementioning

confidence: 99%

Potential of Grain Physical Traits to the Study of Variability in Maize

Almeida

Castro

2022

JSRR

View full text Add to dashboard Cite

Aims: The identification of new traits that can be used as phenotypic markers as well as potential indirect selection tools is interesting for plant breeding. The objective of the study was to investigate the potential use of physical traits of grains to study phenotypic variability in maize. Methodology: Ten maize varieties were evaluated, one commercial variety and nine local open-pollinated varieties. After harvesting, the following traits were evaluated: mass of 1000 grains, weight of ears, grain yield per hectare, estimated from plot production; real volume and apparent volume; real density and apparent density; sphericity and volumetric weight; obtained in samples of 50 grains of each of the studied varieties. A principal component analysis was performed on the data. First, those traits that showed a strong correlation with components capable of explaining a smaller portion of the total variation were excluded from the analysis. A new principal component analysis was performed with the remaining traits. Results: The result revealed the possibility of excluding five of the ten analyzed variables: mass of 1000 grains, weight of ears, apparent volume, real density, and volumetric weight. Some possibilities of trait exclusion can be explained by correlation and method of estimate among them. The genotypes G2 and G3 showed great difference, mainly due the grain yield. The porosity and real volume contributed to the majority variation among genotypes. Conclusion: Some physical grain traits showed potential for use in divergence studies. Apparent density can be used in indirect selection strategies for higher grain yield.

show abstract

“…Wheat cultivation in rain-fed agricultural systems is commonly challenged by water stress, especially during late crop development ( Richter and Semenov, 2005 ; Farooq et al., 2009 ; Chenu et al., 2013 ; Collins and Chenu, 2021 ). Water stress affects many physiological traits both above and below ground with effects that depend on the timing, the intensity and the duration of the stress ( Blum and Sullivan, 1997 ; Frensch, 1997 ; Munns, 2002 ; Collins et al., 2021 ; Mathew and Shimelis, 2022 ; Vadez et al., 2024 ).…”

Section: Introductionmentioning

confidence: 99%

Does late water deficit induce root growth or senescence in wheat?

Shazadi,

Christopher,

Chenu

2024

Front. Plant Sci.

View full text Add to dashboard Cite

In crops like wheat, terminal drought is one of the principal stress factors limiting productivity in rain-fed systems. However, little is known about root development after heading, when water uptake can be critical to wheat crops. The impact of water-stress on root growth was investigated in two wheat cultivars, Scout and Mace, under well-watered and post-anthesis water stress in three experiments. Plants were grown outside in 1.5-m long pots at a density similar to local recommended farming practice. Differences in root development were observed between genotypes, especially for water stress conditions under which Scout developed and maintained a larger root system than Mace. While under well-watered conditions both genotypes had shallow roots that appeared to senesce after heading, a moderate water stress stimulated shallow-root growth in Scout but accelerated senescence in Mace. For deep roots, post-heading biomass growth was observed for both genotypes in well-watered conditions, while under moderate water stress, only Scout maintained net growth as Mace deep roots senesced. Water stress of severe intensity affected both genotypes similarly, with root senescence at all depths. Senescence was also observed above ground. Under well-watered conditions, Scout retained leaf greenness (i.e. stay-green phenotype) for slightly longer than Mace. The difference between genotypes accentuated under moderate water stress, with rapid post-anthesis leaf senescence in Mace while Scout leaf greenness was affected little if at all by the stress. As an overall result, grain biomass per plant (‘yield’) was similar in the two genotypes under well-watered conditions, but more affected by a moderate stress in Mace than Scout. The findings from this study will assist improvement in modelling root systems of crop models, development of relevant phenotyping methods and selection of cultivars with better adaptation to drought.

show abstract

Genetic analyses of root traits: Implications for environmental adaptation and new variety development: A review

Cited by 15 publications

References 273 publications

Plant Physiological Analysis to Overcome Limitations to Plant Phenotyping

Plant Physiological Analysis to Overcome Limitations to Plant Phenotyping

Potential of Grain Physical Traits to the Study of Variability in Maize

Does late water deficit induce root growth or senescence in wheat?

Contact Info

Product

Resources

About