Molecular investigation of plant-environment interaction at functional level

This review examines how leaf trichomes influence leaf physiological responses to abiotic environmental drivers. Leaf trichomes are known to modulate leaf traits, particularly radiation absorptance, but studies in recent decades have demonstrated that trichomes have a more expansive role in the plant–environment interaction. Although best known as light reflectors, dense trichome canopies modulate leaf heat balance and photon interception, and consequently affect gas exchange traits. Analysis of published studies shows that dense pubescence generally increases reflectance of visible light and near-infrared and infrared radiation. Reflective trichomes are also protective, reducing photoinhibition and UV-B related damage to leaf photochemistry. Little support exists for a strong trichome effect on leaf boundary layer resistance and transpiration, but recent studies indicate they may play a substantive role in leaf water relations affecting leaf wettability, droplet retention and leaf water uptake. Different lines of evidence indicate that adaxial and abaxial trichomes may function quite differently, even within the same leaf. Overall, this review synthesises and re-examines the diverse array of relevant studies from the past 40 years, illustrating our current understanding of how trichomes influence the energy, carbon and water balance of plants, and highlighting promising areas for future research.

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Perbanyakan Bibit Stek Umbi dan Uji Adaptabilitas Plasma Nutfah Garut (Marantha arundinaceae L.)

Buletin Plasma Nutfah ◽

10.21082/blpn.v17n1.2011.p1-11 ◽

2016 ◽

Vol 17 (1) ◽

pp. 1

Author(s):

NFN Sutoro ◽

NFN Hadiatmi

Keyword(s):

Block Design ◽

Middle Part ◽

Environment Interaction ◽

Production Constraints ◽

Plant Environment ◽

Factor Effect ◽

Randomized Complete Block Design ◽

Two Factors ◽

Production Area ◽

Starch Yield

Multiplication of Propagated Tuber and Adaptability Test of Arrowroot Germplasm. Increasing arrowroot production needs technology production and variety suitable to the plant environment. Production constraints for arrowroot are seedling (stolon and tuber) limitation of cultivars adapted to the production area. Experiment had been carried out by using two factors (seedling source and variety) planted under randomized complete block design, three replications to study their germination capability. Three parts of seedlings source (tip, middle and basal part of tuber, 2 buds each) as first factor, and 10 varieties as second factor. Effect of seedling (stolon and tuber) of arrowroot and variety (10 accessions) were tested to study their adaptability had been done in 3 locations (Bogor, Cianjur and Serang). Seedling were planted at 50 cm x 40 cm, one row for each treatment. Tip-part and base-part of tuber showed better germination than middle-part of arrowroot tuber. There were effect of genotypic and environment interaction to tuber and starch yield. Accession No. 27 (Tasikmalaya), No. 28 (Gunung Kidul), No. 29 (Garut), No. 58 (Karawang), No. 387 (Banjarnegara), No. 403 (Banyumas), No. 478 (Brebes), dan No. 625 (Cilacap) could be categorized as stabil, while No. 626 (Cilacap) was more responsive while No. 627 (Malang) less responsive to environment changes. AbstrakPeningkatan produksi garut memerlukan teknik budi daya dan varietas yang sesuai dengan lingkungan tumbuh tanaman. Salah satu kendala dalam peningkatan produksi garut adalah sulitnya mendapatkan bibit dalam jumlah relatif banyak dan terbatasnya varietas yang cocok di daerah pengembangan. Percobaan telah dilakukan dengan menggunakan rancangan acak kelompok lengkap dengan perlakuan dua faktor, dengan tiga ulangan. Faktor pertama adalah stek umbi dengan dua mata tunas pada bagian ujung, tengah, dan pangkal. Faktor kedua adalah 10 aksesi garut. Penelitian bertujuan untuk mengetahui adaptabilitas 10 aksesi plasma nutfah garut, dilaksanakan di tiga lokasi, yaitu di Bogor, Pacet, dan Serang. Bibit ditanam dengan jarak 60 cm x 40 cm, satu baris tanaman tiap perlakuan. Hasil percobaan menunjukkan bahwa persentase stek umbi yang tumbuh pada bahan pangkal dan ujung lebih tinggi daripada stek umbi bagian tengah. Aksesi No. 27 (Tasikmalaya), No. 28 (Gunung Kidul), No. 29 (Garut), No. 58 (Karawang), No. 387 (Banjarnegara), No. 403 (Banyumas), No. 478 (Brebes), dan No. 625 (Cilacap) dapat dikategorikan stabil, sedangkan aksesi No. 626 (Cilacap) lebih responsif, dan aksesi No. 627 (Malang) kurang responsif terhadap perubahan lingkungan.

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Evolutionary dynamic analyses on monocot flavonoid 3′-hydroxylase gene family reveal evidence of plant-environment interaction

BMC Plant Biology ◽

10.1186/s12870-019-1947-z ◽

2019 ◽

Vol 19 (1) ◽

Cited By ~ 5

Author(s):

Yong Jia ◽

Bo Li ◽

Yujuan Zhang ◽

Xiaoqi Zhang ◽

Yanhao Xu ◽

...

Keyword(s):

Gene Family ◽

Environment Interaction ◽

Evolutionary Dynamic ◽

Hydroxylase Gene ◽

Plant Environment ◽

Dynamic Analyses

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Plant–Environment Interaction: Influence of Abiotic Stress on Plant Essential Oil Yield and Quality

Metabolic Adaptations in Plants During Abiotic Stress ◽

10.1201/b22206-33 ◽

2018 ◽

pp. 391-402

Author(s):

Marine Hussain ◽

Barbi Gogoi ◽

Babita Joshi ◽

Bitupon Borah ◽

Lucy Lalthafamkimi ◽

...

Keyword(s):

Abiotic Stress ◽

Essential Oil ◽

Oil Yield ◽

Environment Interaction ◽

Yield And Quality ◽

Plant Environment ◽

Essential Oil Yield

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CPlantBox, a whole-plant modelling framework for the simulation of water- and carbon-related processes

in silico Plants ◽

10.1093/insilicoplants/diaa001 ◽

2020 ◽

Vol 2 (1) ◽

Cited By ~ 1

Author(s):

Xiao-Ran Zhou ◽

Andrea Schnepf ◽

Jan Vanderborght ◽

Daniel Leitner ◽

André Lacointe ◽

...

Keyword(s):

Experimental Data ◽

Mechanistic Model ◽

Flow Speed ◽

Environment Interaction ◽

Natural Ecosystem ◽

Water Flows ◽

Modelling Framework ◽

Plant Environment ◽

Whole Plant ◽

Plant Modelling

Abstract The interaction between carbon and flows within the vasculature is at the centre of most growth and developmental processes. Understanding how these fluxes influence each other, and how they respond to heterogeneous environmental conditions, is important to answer diverse questions in agricultural and natural ecosystem sciences. However, due to the high complexity of the plant–environment system, specific tools are needed to perform such quantitative analyses. Here, we present CPlantBox, a whole-plant modelling framework based on the root system model CRootBox. CPlantBox is capable of simulating the growth and development of a variety of plant architectures (root and shoot). In addition, the flexibility of CPlantBox enables its coupling with external modelling tools. Here, we connected the model to an existing mechanistic model of water and carbon flows in the plant, PiafMunch. The usefulness of the CPlantBox modelling framework is exemplified in five case studies. Firstly, we illustrate the range of plant structures that can be simulated using CPlantBox. In the second example, we simulated diurnal carbon and water flows, which corroborates published experimental data. In the third case study, we simulated impacts of heterogeneous environment on carbon and water flows. Finally, we showed that our modelling framework can be used to fit phloem pressure and flow speed to (published) experimental data. The CPlantBox modelling framework is open source, highly accessible and flexible. Its aim is to provide a quantitative framework for the understanding of plant–environment interaction.

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CPlantBox, a whole plant modelling framework for the simulation of water and carbon related processes

10.1101/810507 ◽

2019 ◽

Author(s):

Xiao-Ran Zhou ◽

Andrea Schnepf ◽

Jan Vanderborght ◽

Daniel Leitner ◽

André Lacointe ◽

...

Keyword(s):

Experimental Data ◽

Mechanistic Model ◽

Flow Speed ◽

Environment Interaction ◽

Modeling Tools ◽

Water Flows ◽

Modelling Framework ◽

Plant Environment ◽

Whole Plant ◽

Plant Modelling

AbstractThe interaction between carbon and flows within the plant is at the center of most growth and developmental processes. Understanding how these fluxes influence each other, and how they respond to heterogeneous environmental conditions, is important to answer diverse questions in forest, agriculture and environmental sciences. However, due to the high complexity of the plant-environment system, specific tools are needed to perform such quantitative analyses.Here we present CPlantBox, full plant modelling framework based on the root system model CRootBox. CPlantbox is capable of simulating the growth and development of a variety of plant architectures (root and shoot). In addition, the flexibility of CPlantBox enables its coupling with external modeling tools. Here, we connected it to an existing mechanistic model of water and carbon flows in the plant, PiafMunch.The usefulness of the CPlantBox modelling framework is exemplified in four case studies. Firstly, we illustrate the range of plant structures that can be simulated using CPlantBox. In the second example, we simulated diurnal carbon and water flows, which corroborates published experimental data. In the third case study, we simulated impacts of heterogeneous environment on carbon and water flows. Finally, we showed that our modelling framework can be used to fit phloem pressure and flow speed to (published) experimental data.The CPlantBox modelling framework is open-source, highly accessible and flexible. Its aim is to provide a quantitative framework for the understanding of plant-environment interaction.

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