Water availability and nitrogen use in plants: effects, interaction, and underlying molecular mechanisms

Nguyen, Giao N.; Joshi, Sameer; Kant, Surya

doi:10.1016/b978-0-12-811308-0.00013-2

Cited by 11 publications

(24 citation statements)

References 78 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The gradually supplied liquid fertilizer method used here, has advantages over pre-fertilized potting mixes, especially when used in conjunction with an automated watering system, which can also accurately dispense a set volume of fertilizer solution (Nguyen et al, 2018). Since water highly interacts with N availability in the growth media (Nguyen et al, 2017), this system will ensure an adequate supply of water for plants so that NUtE is not affected by either a shortage or excess of water, and will help reduce the time and labour costs associated with manual watering. More importantly, it was demonstrated that the current screening method could effectively produce significant variations in NUE traits (NUEb and NUEg) among wheat varieties, which will facilitate selection in screening processes.…”

Section: Discussionmentioning

confidence: 99%

“…Quite often, genotypes selected from the controlled environments do not substantiate their performance under field conditions, because of significant competition among plants within plots under field conditions, which is not present for individual plants in pots in controlled environments (Araus and Cairns, 2014; Fischer and Rebetzke, 2018). Associations between greenhouse and field trials using the same varieties is further complicated by other environmental factors such as soil type, microorganisms, N and water availability (Cormier et al, 2016; Nguyen et al, 2017). However, several studies have reported a causal relationship between greenhouse screens and the field performance of crops (Chapuis et al, 2012; Pardo et al, 2015; Peirone et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

“…Among these, molecular breeding for N-efficient varieties is considered the most effective method to lift NUE in wheat (Cormier et al, 2016), although this approach depends on the availability of reliable and accurate molecular markers linked to N-efficient genes for marker assisted and genomic selection (Cabrera-Bosquet et al, 2012; Garnett et al, 2015; Han et al, 2015). However, molecular breeding for N-efficient varieties is still a daunting task, given that NUE is a polygenic trait with complex interactions, and associated genes are heavily influenced by environmental conditions such as varying soil N, soil type, rainfall pattern and soil water availability (Cormier et al, 2013; Lammerts Van Bueren and Struik, 2017; Nguyen et al, 2017). A large volume of high-quality phenotypic data is needed to dissect NUE’s genetic influences into smaller manageable and measurable components, and to derive reliable and accurate molecular markers or genomic estimated breeding values (Araus and Cairns, 2014; Nadeem et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Robust Automated Image-Based Phenotyping Method for Rapid Vegetative Screening of Wheat Germplasm for Nitrogen Use Efficiency

et al. 2019

Self Cite

View full text Add to dashboard Cite

Nitrogen use efficiency (NUE) in crops is generally low, with more than 60% of applied nitrogen (N) being lost to the environment, which increases production costs and affects ecosystems and human habitats. To overcome these issues, the breeding of crop varieties with improved NUE is needed, requiring efficient phenotyping methods along with molecular and genetic approaches. To develop an effective phenotypic screening method, experiments on wheat varieties under various N levels were conducted in the automated phenotyping platform at Plant Phenomics Victoria, Horsham. The results from the initial experiment showed that two relative N levels—5 mM and 20 mM, designated as low and optimum N, respectively—were ideal to screen a diverse range of wheat germplasm for NUE on the automated imaging phenotyping platform. In the second experiment, estimated plant parameters such as shoot biomass and top-view area, derived from digital images, showed high correlations with phenotypic traits such as shoot biomass and leaf area seven weeks after sowing, indicating that they could be used as surrogate measures of the latter. Plant growth analysis confirmed that the estimated plant parameters from the vegetative linear growth phase determined by the “broken-stick” model could effectively differentiate the performance of wheat varieties for NUE. Based on this study, vegetative phenotypic screens should focus on selecting wheat varieties under low N conditions, which were highly correlated with biomass and grain yield at harvest. Analysis indicated a relationship between controlled and field conditions for the same varieties, suggesting that greenhouse screens could be used to prioritise a higher value germplasm for subsequent field studies. Overall, our results showed that this phenotypic screening method is highly applicable and can be applied for the identification of N-efficient wheat germplasm at the vegetative growth phase.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Robust Automated Image-Based Phenotyping Method for Rapid Vegetative Screening of Wheat Germplasm for Nitrogen Use Efficiency

et al. 2019

Self Cite

View full text Add to dashboard Cite

show abstract

“…These should include systems that do not solely rely on mineral N fertilizer but also consider organic matter for plant N nutrition, like organic farming or conservation agriculture, and the need of amino acid transporters for N uptake. Further, to improve NUE for a sustainable agriculture, future climate and environmental changes will need to be addressed (Nguyen et al, 2017 ; Kanter et al, 2020 ). For example, exposure of crop plants to drought stress will not only require adjustments with respect to N uptake, partitioning, and metabolic processes, but also other physiological as well as morphological changes.…”

Section: Conclusion and Future Perspectivesmentioning

confidence: 99%

“…Therefore, improvements in yield and N use efficiency (NUE) in conjunction with a reduction in N application and N losses into the environment are pressing goals for a sustainable agriculture (Zhang et al, 2015a ; Anas et al, 2020 ). However, progress in NUE is an ambitious target as crop yields are influenced by numerous factors, including genetic parameters and their variation among and within species (G), environmental effects such as location, soil conditions, and climate (E), and agronomic technologies and management practices (M; e.g., type, timing, amount, and place of N application or weed and pest control) (Hatfield and Walthall, 2015 ; Nguyen et al, 2017 ; Martinez-Feria et al, 2018 ; Nguyen and Kant, 2018 ; Gramma et al, 2020 ; Jensen et al, 2020 ; Lemaire and Ciampitti, 2020 ; Plett et al, 2020 ). Only the combination or interaction of these factors (G × E × M) will allow for sustainable and secure crop production (Swarbreck et al, 2019 ; Cooper et al, 2020 ; Hawkesford and Riche, 2020 ; Peng et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Targeting Nitrogen Metabolism and Transport Processes to Improve Plant Nitrogen Use Efficiency

2021

View full text Add to dashboard Cite

In agricultural cropping systems, relatively large amounts of nitrogen (N) are applied for plant growth and development, and to achieve high yields. However, with increasing N application, plant N use efficiency generally decreases, which results in losses of N into the environment and subsequently detrimental consequences for both ecosystems and human health. A strategy for reducing N input and environmental losses while maintaining or increasing plant performance is the development of crops that effectively obtain, distribute, and utilize the available N. Generally, N is acquired from the soil in the inorganic forms of nitrate or ammonium and assimilated in roots or leaves as amino acids. The amino acids may be used within the source organs, but they are also the principal N compounds transported from source to sink in support of metabolism and growth. N uptake, synthesis of amino acids, and their partitioning within sources and toward sinks, as well as N utilization within sinks represent potential bottlenecks in the effective use of N for vegetative and reproductive growth. This review addresses recent discoveries in N metabolism and transport and their relevance for improving N use efficiency under high and low N conditions.

show abstract

Leaf functional diversity and environmental filtering in a tropical dry forest: Comparison between two geological substrates

Sandoval‐Granillo,

Meave

2023

Ecology and Evolution

View full text Add to dashboard Cite

The role of geological substrate in shaping plant community functional diversity remains poorly understood. Considering the involvement of leaves in the energy, water, and nutrient economics of plants, we hypothesized that leaves experience geology‐related filtering, which in turn shapes their functional attributes and community leaf functional diversity on different substrates. We studied tropical dry forest communities on limestone and siliciclastic phyllite‐derived soils, comparing their functional diversity and soil physico‐chemical properties. We predicted the most benign habitat (less severe filter) to be associated with higher leaf functional diversity and an acquisitive strategy prevalence, while the more stressful habitat should show conservative leaf traits and lower leaf functional diversity. We measured six traits in 31 common tree species (representing ~80% of community crown cover): leaf area, specific leaf area, leaf thickness, leaf dry matter content, petiole length, and leaf blade narrowness. Leaf functional diversity was assessed through the functional trait dispersion metric. Intraspecific functional variation was examined in 25 species shared between substrates. The limestone substrate was more fertile (higher phosphorous) with higher water retention, while phyllite had higher nitrogen and lower humidity. Principal component analysis segregated plots by substrate, with limestone plots being more clustered. Community leaf functional diversity was higher in the limestone forest. Most species examined showed inter‐substrate trait differences in at least one leaf functional trait. The two substrates constituted distinct growth environments, with the more benign substrate associated with higher community leaf functional diversity. The intraspecific analysis revealed the prevalence of acquisitive traits in the more benign and more conservative traits in the more stressful habitat. This study advances our understanding of the role of geological substrate as an environmental filter in tropical dry forests, influencing leaf functional responses and emphasizing the importance of intraspecific functional variation.

show abstract

Water availability and nitrogen use in plants: effects, interaction, and underlying molecular mechanisms

Cited by 11 publications

References 78 publications

A Robust Automated Image-Based Phenotyping Method for Rapid Vegetative Screening of Wheat Germplasm for Nitrogen Use Efficiency

A Robust Automated Image-Based Phenotyping Method for Rapid Vegetative Screening of Wheat Germplasm for Nitrogen Use Efficiency

Targeting Nitrogen Metabolism and Transport Processes to Improve Plant Nitrogen Use Efficiency

Leaf functional diversity and environmental filtering in a tropical dry forest: Comparison between two geological substrates

Contact Info

Product

Resources

About