Non-destructive leaf area estimation model for faba bean (Vicia faba L.)

2007 ◽  
Vol 113 (4) ◽  
pp. 322-328 ◽  
Author(s):  
Erkut Peksen
Keyword(s):  
Leaf Area ◽  
Vicia Faba ◽  
Faba Bean ◽  
Estimation Model ◽  
Area Estimation ◽  
Vicia Faba L ◽  
Non Destructive

scholarly journals Non-destructive and Destructive Methods to Determine the Leaf Area of Zucchini

2020 ◽  
Vol 8 (3) ◽  
pp. 295
Author(s):  
Adriano Bicioni Pacheco ◽  
Jéssica Garcia Nascimento ◽  
Larissa Brêtas Moura ◽  
Tárcio Rocha Lopes ◽  
Sergio Nascimento Duarte ◽  
...  
Keyword(s):  
Leaf Area ◽  
Prediction Models ◽  
Standard Procedure ◽  
Efficiency Index ◽  
Estimation Model ◽  
Statistical Parameters ◽  
Important Indicator ◽  
Area Estimation ◽  
Non Destructive ◽  
Destructive Methods

Leaf area estimation is a very important indicator in studies related to plant anatomy, morphology and physiology, and in many cases, it is a fundamental criterion to understand plant response to input conditions. Although there are leaf area prediction models have been produced for some plant species, a leaf area estimation model has not yet been developed for the zucchini. The objective of this paper was to determine the leaf area based on destructive and non-destructive methods for zucchini. The accuracy of measurement methods was evaluated and compared to determinations of the leaf area by the scanning integration method (LICOR equipment LI 3100C), considered as standard procedure. Non-destructive methods consisted of digital photography and measurement of leaf dimensions (width and length) based on ImageJ software. The destructive methods used were a) leaf area integrator LI-3100C, b) determination of leaf mass and c) weighing of leaf discs punched from the leaves. According to statistical parameters that evaluate the performance of the analyzed methods: determination coefficient (R2), Pearson (r) correlation coefficient, Willmott agreement index (d) and Camargo and Sentelhas performance index (c) the parameters presented values higher than 0.8820, classifying the methods as very good, whereas the modeling efficiency index (NSE) and the percentage of bias (PBIAS) also classified the methods as very good (0.87≤NSE≤0.99; -4.80≤PBIAS≤1.40), except the ImageJ method without correction (NSE=0.77; PBIAS = -22.70).

scholarly journals Non-Destructive Leaf Area Estimation Model for Overall Growth Performances in Relation to Yield Attributes of Cassava (Manihot esculenta Cranz) under Water Deficit Conditions

2019 ◽  
Vol 47 (3) ◽  
Author(s):  
Piyanan PIPATSITEE ◽  
Apisit EIUMNOH ◽  
Patchara PRASEARTKUL ◽  
Navavit PONGANAN ◽  
Kanyarat TAOTA ◽  
...  
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Water Deficit ◽  
Growth And Yield ◽  
Water Deficit Stress ◽  
Storage Root ◽  
Estimation Model ◽  
Area Index ◽  
Area Estimation ◽  
Non Destructive

Cassava is a tropical storage root crop, a source of carbohydrate and alternative energy. It has been classified as “drought tolerant plant” for the whole life cycle, except during the root initiation stage (120-150 DAP). Leaf area index (LAI) is one of the most parameters representing the overall growth and yield prediction in cassava. The aim of this investigation was to validate the physiological and growth performance of cassava in responses to water deficit stress in the field trial as well as to investigate the leaf area index as an important factor to cassava growth and storage root bulking. Leaf relative water content in cassava declined significantly upon a long period of water withholding, and regulated non-photochemical quenching (NPQ), leading to chlorophyll degradation, reduced number of leaves and limited leaf area index (LAI) and loss of storage root yield when compared with well-irrigated plants. Non-destructive leaf area estimation model under water deficit stress condition using spectral reflectance to determine the LAI and VIs was validated. The Ratio Vegetation Index (RVI) was suitable model with high coefficient of determination (R2 = 0.89). However, the RVI as LAI at 150 DAP (120 d water withholding) could be considered as the critical point to indicate cassava growth and yield performance. Based on the results, cassava growth, biomass and yield in the different environments may further be investigated, taking into consideration the genotypic variation and using remote sensing technology for rapid monitoring and accurate and cost-effective data assessment.   ********* In press - Online First. Article has been peer reviewed, accepted for publication and published online without pagination. It will receive pagination when the issue will be ready for publishing as a complete number (Volume 47, Issue 3, 2019). The article is searchable and citable by Digital Object Identifier (DOI). DOI link will become active after the article will be included in the complete issue. *********

Assessment of soil fertility augmenting potential of faba bean (Vicia faba L.) germplasm and their performance

2016 ◽  
Vol 3 (3) ◽  
Author(s):  
Anil Kumar Singh ◽  
Rashmi Yadav ◽  
M.K. Meena ◽  
Y.J. Khan
Keyword(s):  
Soil Fertility ◽  
Vicia Faba ◽  
Faba Bean ◽  
Climate Scenario ◽  
Climatic Conditions ◽  
Third Place ◽  
Changing Climate ◽  
Vicia Faba L ◽  
Unique Ability

Faba bean (Vicia faba L.) maintain third place with respect to area and production among legume. Its unique ability to excel under all most all type of climatic conditions, it is one of the best performing crops under changing climate scenario. Its soil fertility augmenting potential and their performance was evaluated for two years with 73 accessions collected from Bihar. This study provides glimpses of scope and magnitude of soil fertility improving potential of faba bean (Vicia faba L.)

scholarly journals Identification of tolerance to metribuzin and imazethapyr herbicides in faba bean ( Vicia faba L.)

Crop Science ◽  
2021 ◽  
Author(s):  
Lynn Abou Khater ◽  
Fouad Maalouf ◽  
Somanagouda B. Patil ◽  
Rind Balech ◽  
Diana Nacouzi ◽  
...  
Keyword(s):  
Vicia Faba ◽  
Faba Bean ◽  
Vicia Faba L

scholarly journals Enhanced Abiotic Stress Tolerance of Vicia faba L. Plants Heterologously Expressing the PR10a Gene from Potato

Plants ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 173
Author(s):  
Abeer F. Desouky ◽  
Ahmed H. Ahmed ◽  
Hartmut Stützel ◽  
Hans-Jörg Jacobsen ◽  
Yi-Chen Pao ◽  
...  
Keyword(s):  
Salt Stress ◽  
Abiotic Stress ◽  
Stress Tolerance ◽  
Vicia Faba ◽  
Faba Bean ◽  
Abiotic Stress Tolerance ◽  
Wild Type ◽  
Stress Injury ◽  
Bean Plants ◽  
Vicia Faba L

Pathogenesis-related (PR) proteins are known to play relevant roles in plant defense against biotic and abiotic stresses. In the present study, we characterize the response of transgenic faba bean (Vicia faba L.) plants encoding a PR10a gene from potato (Solanum tuberosum L.) to salinity and drought. The transgene was under the mannopine synthetase (pMAS) promoter. PR10a-overexpressing faba bean plants showed better growth than the wild-type plants after 14 days of drought stress and 30 days of salt stress under hydroponic growth conditions. After removing the stress, the PR10a-plants returned to a normal state, while the wild-type plants could not be restored. Most importantly, there was no phenotypic difference between transgenic and non-transgenic faba bean plants under well-watered conditions. Evaluation of physiological parameters during salt stress showed lower Na+-content in the leaves of the transgenic plants, which would reduce the toxic effect. In addition, PR10a-plants were able to maintain vegetative growth and experienced fewer photosystem changes under both stresses and a lower level of osmotic stress injury under salt stress compared to wild-type plants. Taken together, our findings suggest that the PR10a gene from potato plays an important role in abiotic stress tolerance, probably by activation of stress-related physiological processes.

scholarly journals Exogenous Auxin-Mediated Salt Stress Alleviation in Faba Bean (Vicia faba L.)

Agronomy ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 547
Author(s):  
Arafat Abdel Hamed Abdel Latef ◽  
Md. Tahjib-Ul-Arif ◽  
Mohammad Saidur Rhaman
Keyword(s):  
Salt Stress ◽  
Vicia Faba ◽  
Faba Bean ◽  
Stress Responses ◽  
Foliar Application ◽  
Soluble Sugar ◽  
Principal Component ◽  
Vicia Faba L ◽  
Catalase Peroxidase ◽  
Amino Acid Contents

Auxin not only controls the development processes, but also regulates the stress responses of plants. In this investigation, we explored the potential roles of exogenously applied indole-3-acetic acid (IAA) in conferring salt tolerance in the faba bean (Vicia faba L.). Our results showed that foliar application of IAA (200 ppm) to salt-exposed (60 mM and 150 mM NaCl) plants promoted growth, which was evidenced by enhanced root–stem traits. IAA application ensured better osmotic protection in salt-stressed plants which was supported by reduced proline and enhanced soluble sugar, soluble protein, and total free amino acid contents in the roots, stem, and seeds. IAA application also increased the number of nodules in salt-stressed plants, which may facilitate better nitrogen assimilation. Moreover, IAA mediated improvements in mineral homeostasis (K+, Ca2+, and Mg2+) and the translocation of Na+, while it also inhibited excessive accumulation of Na+ in the roots. Salt-induced oxidative damage resulted in increased accumulation of malondialdehyde, whereas IAA spraying relegated malondialdehyde by improving antioxidant enzymes, including superoxide dismutase, catalase, peroxidase, and ascorbate peroxidase. Together, these results together with a principal component analysis uncovered that foliar spraying of IAA alleviated the antagonistic effects of salt stress via enhancing osmolyte accumulation, ionic homeostasis, and antioxidant activity. Finally, exogenous IAA enhanced the yield of broad beans under high salinity conditions.

Effect of irrigation regimes using saline water on faba bean ( Vicia faba L.) yield and water productivity in an arid environment*

2021 ◽  
Author(s):  
Fathia El Mokh ◽  
Kamel Nagaz ◽  
Ashok Kumar Alva ◽  
Mohamed Moncef Masmoudi ◽  
Netij Ben Mechlia
Keyword(s):  
Vicia Faba ◽  
Faba Bean ◽  
Saline Water ◽  
Water Productivity ◽  
Arid Environment ◽  
Irrigation Regimes ◽  
Vicia Faba L
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