Water deficit changes nitrate uptake and expression of some nitrogen related genes in coffee-plants (Coffea arabica L.)

Martínez, Herminia; Souza, Bruna Pereira de; Caixeta, Eveline Teixeira; Carvalho, Frédéric A.; Clemente, Júnia Maria

doi:10.1016/j.scienta.2020.109254

Cited by 19 publications

(18 citation statements)

References 25 publications

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“…The varieties showed significant differences among them. "Catuaí Amarelo" presented high V max and low K m without or with water stress, meanwhile Mundo Novo although presenting low V max and low K m did not suffer alterations in these parameters when under water stress (Martinez et al, 2020).…”

Section: Introductionmentioning

confidence: 87%

Kinetic Parameters of Nitrate Absorption by Adult Coffee Trees

Bohórquez

Martínez

Santos

2021

Front. Sustain. Food Syst.

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Nitrogen, the most demanded nutrient by coffee plants, has a rate of recovery from the soil of about 50%. Because of that high doses of nitrogenous fertilizers are used to reach high production, and consequently high amounts of N are lost to the environment. Knowing the kinetic parameters of nitrate (NO3-) absorption over the fruit development cycle is important as a mean of achieve more adjusted fertilizer doses and better recovery rates for the N applied as fertilizers. This study aimed determining the kinetic parameters of NO3- absorption in different development stages of fruits from adult coffee plants. The kinetic parameters Vmax and Km were determined in a low production year, at the pinhead (PH), rapid expansion (RE), grain filling (GF), and maturation (MT) stages. One month before each kinetics assay, lateral roots of eight plants were excavated and wrapped into non-woven fabrics grow cylinders filled in with vermiculite to produce absorbent roots. On the assay day, the roots were washed and immersed into a container with 1 L of 90 μmol L−1 NO3- solution. Sampling began one and a half hours after that, and was taken every hour over 7 h. Data on NO3- depletion were used to calculate the absorption kinetic parameters Vmax and Km. In a low production year the Vmax ranged from 0.14 to 0.72 μmol g−1 h−1 in a root fresh matter basis and Km from 6.47 to 50.31 μmol L−1. The Vmax values were highest at the PH and MT stages; the lowest absorption rate was recorded at GF and Km was lowest at RE. As at the RE stage of fruits Vmax shows a positive correlation with grain production, adequate nitrogen availability must be ensured before this phase to not to affect coming coffee production.

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Section: Introductionmentioning

confidence: 87%

Kinetic Parameters of Nitrate Absorption by Adult Coffee Trees

Bohórquez

Martínez

Santos

2021

Front. Sustain. Food Syst.

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“…Detecting nutrient deficit can also help identify environmental stress incidence. For example, Martinez et al (2020) [ 100 ] reported that water deficit modifies nitrate uptake by altering the expression of genes related to nitrate assimilation in the roots and the shoot. Moreover, changes in pigment content can be related to visible stress symptoms in such a detailed manner, that it is possible to discriminate between their biotic or abiotic origin [ 101 ].…”

Section: Data In Plant Hormesis Researchmentioning

confidence: 99%

Machine Learning for Plant Stress Modeling: A Perspective towards Hormesis Management

Rico-Chávez

Franco²,

Fernandez‐Jaramillo³

et al. 2022

Plants

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Plant stress is one of the most significant factors affecting plant fitness and, consequently, food production. However, plant stress may also be profitable since it behaves hormetically; at low doses, it stimulates positive traits in crops, such as the synthesis of specialized metabolites and additional stress tolerance. The controlled exposure of crops to low doses of stressors is therefore called hormesis management, and it is a promising method to increase crop productivity and quality. Nevertheless, hormesis management has severe limitations derived from the complexity of plant physiological responses to stress. Many technological advances assist plant stress science in overcoming such limitations, which results in extensive datasets originating from the multiple layers of the plant defensive response. For that reason, artificial intelligence tools, particularly Machine Learning (ML) and Deep Learning (DL), have become crucial for processing and interpreting data to accurately model plant stress responses such as genomic variation, gene and protein expression, and metabolite biosynthesis. In this review, we discuss the most recent ML and DL applications in plant stress science, focusing on their potential for improving the development of hormesis management protocols.

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“…The further authors observed an increase in ammonium transporter transcript abundance and ammonium uptake and the latter an increase in ammonium at the expense of nitrate uptake. In coffee trees, Vmax and Km for nitrate uptake were significantly reduced upon drought stress (Martinez et al 2020). These differences might be due to species-specific responses and due to different drought intensities applied.…”

Section: Total Inorganic N Uptake From the Soil Under Drought Is Impaired By Reduced Root Biomass And Lower Belowground Assimilate Allocamentioning

confidence: 99%

Effects of drought on nitrogen uptake and carbon dynamics in trees

et al. 2020

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Research on drought impact on tree functioning is focused primarily on water and carbon (C) dynamics. Changes in nutrient uptake might also affect tree performance under drought and there is a need to explore underlying mechanisms. We investigated effects of drought on a) in-situ nitrogen (N)-uptake accounting for both, N availability to fine-roots in soil and actual N-uptake, b) physiological N-uptake capacity of roots, and c) the availability of new assimilates to fine roots influencing the N-uptake capacity using 15N and 13C labelling. We assessed saplings of six different tree species (Acer peudoplatanus, Fagus sylvatica, Quercus petraea, Abies alba, Picea abies, Pinus sylvestris). Drought resulted in significant reduction of in-situ soil N-uptake in deciduous trees accompanied by reduced carbon allocation to roots and by a reduction in root biomass available for N-uptake. While physiological root N-uptake capacity was not affected by drought in deciduous saplings, reduced maximum ammonium but not nitrate uptake was observed for A.alba and P.abies. Our results indicate that drought has species-specific effects on N-uptake. Even water limitations of only 5 weeks as assessed here can decrease whole plant inorganic N-uptake independent of whether the physiological N-uptake capacity is affected or not.

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Water deficit changes nitrate uptake and expression of some nitrogen related genes in coffee-plants (Coffea arabica L.)

Cited by 19 publications

References 25 publications

Kinetic Parameters of Nitrate Absorption by Adult Coffee Trees

Kinetic Parameters of Nitrate Absorption by Adult Coffee Trees

Machine Learning for Plant Stress Modeling: A Perspective towards Hormesis Management

Effects of drought on nitrogen uptake and carbon dynamics in trees

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