Image Based-Phenotyping and Selection Index Based on Multivariate Analysis for Rice Hydroponic Screening under Drought Stress

2021 ◽  
Vol 9 (4) ◽  
pp. 272-286
Author(s):  
Adinda Asri Laraswati ◽  
Rusnadi Padjung ◽  
Muh Farid ◽  
Nasaruddin Nasaruddin ◽  
Muhammad Fuad Anshori ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Drought Stress ◽  
Selection Index

scholarly journals Drought-adapted maize line based on morphophysiological selection index

2021 ◽  
Vol 22 (9) ◽  
Author(s):  
RUSNADI PADJUNG ◽  
MUH FARID ◽  
Yunus Musa ◽  
MUHAMMAD FUAD ANSHORI ◽  
AMIN NUR ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Drought Stress ◽  
Selection Index ◽  
Principal Component ◽  
Maize Line ◽  
Release Process ◽  
Maize Productivity ◽  
Main Plot ◽  
Systematic Selection ◽  
Physiological Characters

Abstract. Padjung R, Farid M, Musa Y, Anshori MF, Nur A, Masnenong A. 2021. Drought-adapted maize line based on morphophysiological selection index. Biodiversitas 22: 4028-4035. Synthetic line formation is an effort to increase maize productivity in drought-stressed areas. This process requires systematic selection in determining adaptability levels involving important secondary characters formulated in the selection index. Furthermore, the principal component index had been widely reported, both in normal and stressed conditions. The selection index development on morpho-physiological characters based on multivariate analysis was expected to increase drought stress tolerance and maize lines selection precision. Therefore, the purpose of this research was to form a selection index based on morpho-physiological characters and selecting synthetic lines adaptive under drought stress. This research was designed using a split-plot with 3 replications,  where the main plot consisted of normal and stressed irrigation, while the subplot was genotype consisting of 6 lines and 3 check varieties namely Bisma, Lamuru, and Sukamarga. Observations were performed on 18 morphological and 4 physiological characters, and the results showed that the selection index was formed based on multivariate analysis from 9 characters. Through index selection, Syn_2-2 (0.79), Syn_2-15 (0.85) and Syn_2-16 (0.97) were considered as drought stress adaptive lines. Therefore, the 3 lines can be recommended in the synthetic variety release process.

Screening of bread wheat (Triticum aestivum L.) genotypes under drought stress conditions using multivariate analysis

2020 ◽  
Vol 48 (3) ◽  
pp. 301-308 ◽  
Author(s):  
M. Arifuzzaman ◽  
S. Barman ◽  
S. Hayder ◽  
M. A. K. Azad ◽  
M. T. S. Turin ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Multivariate Analysis ◽  
Drought Stress ◽  
Bread Wheat ◽  
Triticum Aestivum L ◽  
Stress Conditions

scholarly journals Assessment of drought resistance in pearl millet (Pennisetum americanum (L.) Leeke). II. Estimation of genotype response to stress

1987 ◽  
Vol 38 (1) ◽  
pp. 49 ◽  
Author(s):  
FR Bidinger ◽  
V Mahalakshmi ◽  
GDP Rao
Keyword(s):  
Drought Stress ◽  
Grain Yield ◽  
Pearl Millet ◽  
Selection Index ◽  
Yield Potential ◽  
Drought Response ◽  
Grain Number ◽  
Component Structure ◽  
Panicle Number ◽  
Response To Stress

The finding that the more than 50% of the variation in grain yield of pearl millet breeding lines in two different drought stress treatments could be attributed to variation in yield potential and time of flowering was used to develop a drought-response index (DRI) based on the residual variation in grain yield, adjusted for experimental error. DRI was positively correlated to measured yield in the drought treatments, and independent of both yield potential and time to flowering. DRI in both midseason and terminal stress treatments was unrelated to yield component structure in the irrigated control treatment, indicating that selection for plant type under non-stressed conditions will not influence drought response. DRI was correlated to both grain number per panicle, and grain yield per panicle in both stress treatments, suggesting differential ability to maintain normal grain number, and/or that grain yield per panicle was an important factor in response to stress. Maintenance of panicle number did not seem to be important for maintenance of yield under drought stress. The correlation of DRI and individual panicle yield was of sufficient magnitude for the latter to serve as a selection index in terminal stress. The use of a DRI as a component of breeding for better adaptation to stress is discussed.

Non-parametric multivariate analysis of variance in the proteomic response of potato to drought stress

2012 ◽  
Vol 719 ◽  
pp. 1-7 ◽  
Author(s):  
Piotr Zerzucha ◽  
Dominika Boguszewska ◽  
Barbara Zagdańska ◽  
Beata Walczak
Keyword(s):  
Multivariate Analysis ◽  
Drought Stress ◽  
Analysis Of Variance ◽  
Multivariate Analysis Of Variance ◽  
Proteomic Response ◽  
Non Parametric

scholarly journals Screening of Onion (Allium cepa L.) Genotypes for Drought Tolerance Using Physiological and Yield Based Indices Through Multivariate Analysis

2021 ◽  
Vol 12 ◽  
Author(s):  
Pranjali A. Gedam ◽  
A. Thangasamy ◽  
Dhananjay V. Shirsat ◽  
Sourav Ghosh ◽  
K. P. Bhagat ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Enzyme Activity ◽  
Drought Stress ◽  
Drought Tolerance ◽  
Antioxidant Enzyme ◽  
Leaf Area ◽  
Antioxidant Enzyme Activity ◽  
Yield Attributes ◽  
Highly Sensitive ◽  
Bulb Yield

Drought is a leading abiotic constraints for onion production globally. Breeding by using unique genetic resources for drought tolerance is a vital mitigation strategy. With a total of 100 onion genotypes were screened for drought tolerance using multivariate analysis. The experiment was conducted in a controlled rainout shelter for 2 years 2017–2018 and 2018–2019 in a randomized block design with three replications and two treatments (control and drought stress). The plant was exposed to drought stress during the bulb development stage (i.e., 50–75 days after transplanting). The genotypes were screened on the basis of the drought tolerance efficiency (DTE), percent bulb yield reduction, and results of multivariate analysis viz. hierarchical cluster analysis by Ward’s method, discriminate analysis and principal component analysis. The analysis of variance indicated significant differences among the tested genotypes and treatments for all the parameters studied, viz. phenotypic, physiological, biochemical, and yield attributes. Bulb yield was strongly positively correlated with membrane stability index (MSI), relative water content (RWC), total chlorophyll content, antioxidant enzyme activity, and leaf area under drought stress. The genotypes were categorized into five groups namely, highly tolerant, tolerant, intermediate, sensitive, and highly sensitive based on genetic distance. Under drought conditions, clusters II and IV contained highly tolerant and highly sensitive genotypes, respectively. Tolerant genotypes, viz. Acc. 1656, Acc. 1658, W-009, and W-085, had higher DTE (>90%), fewer yield losses (<20%), and performed superiorly for different traits under drought stress. Acc. 1627 and Acc. 1639 were found to be highly drought-sensitive genotypes, with more than 70% yield loss. In biplot, the tolerant genotypes (Acc. 1656, Acc. 1658, W-085, W-009, W-397, W-396, W-414, and W-448) were positively associated with bulb yield, DTE, RWC, MSI, leaf area, and antioxidant enzyme activity under drought stress. The study thus identified tolerant genotypes with favorable adaptive traits that may be useful in onion breeding program for drought tolerance.

scholarly journals Multivariate analysis to determine secondary characters in selecting adaptive hybrid corn lines under drought stress

2020 ◽  
Vol 21 (8) ◽  
Author(s):  
NUR FADHLI ◽  
MUH. FARID ◽  
RAFIUDDIN ◽  
ROY EFFENDI ◽  
MUHAMMAD AZRAI ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Drought Stress ◽  
Selection Criterion ◽  
Yield Component ◽  
Hybrid Corn ◽  
Secondary Character ◽  
Maize Genotypes ◽  
Effective Selection ◽  
Secondary Characters ◽  
Hybrid Lines

Abstract. Fadhli N, Farid M, Rafiuddin, Efendi R, Azrai M, Anshori MF. 2020. Multivariate analysis to determine secondary characters in selecting adaptive hybrid corn lines under drought stress. Biodiversitas 21: 3617-3624. The development of adaptive hybrid corn varieties under drought stress needs an effective selection. Multivariate analysis has been reported can increase the effectiveness of selection in plants by attaching the secondary characters in the selection. Therefore, this concept also can be applied to develop adaptive corn varieties under drought stress. The objectives of this study are to determine the main secondary characters and select the best hybrid lines adaptive to drought stress. The experiment was arranged by a nested design, where replications nested under two environmental conditions, namely normal and drought stress. The main factor was genotypes consisted of 30 genotypes and was repeated three times. Moreover, the observations of this research consisted of 20 variables. The result of this research showed that the weight of harvested cob was an effective secondary character as a selection criterion along with productivity in selecting adaptive maize genotypes under drought stress. The number of green leaves was the character outside of the yield component could be as an alternative secondary character besides the weight of harvested cob. The selection results based on the weight of the harvested cob and productivity resulted in 12 hybrid corn lines considered adaptive to drought stress.

scholarly journals Metabolic effect of drought stress on the leaves of young oil palm (Elaeis guineensis) plants using UHPLC–MS and multivariate analysis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jorge Candido Rodrigues Neto ◽  
Letícia Rios Vieira ◽  
José Antônio de Aquino Ribeiro ◽  
Carlos Antônio Ferreira de Sousa ◽  
Manoel Teixeira Souza Júnior ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Drought Stress ◽  
Oil Palm ◽  
Metabolic Profiling ◽  
Elaeis Guineensis ◽  
Activity Analysis ◽  
Metabolic Effect ◽  
Glutamate Metabolism ◽  
Marginal Areas ◽  
Different Levels

AbstractThe expansion of the oil palm in marginal areas can face challenges, such as water deficit, leading to an impact on palm oil production. A better understanding of the biological consequences of abiotic stresses on this crop can result from joint metabolic profiling and multivariate analysis. Metabolic profiling of leaves was performed from control and stressed plants (7 and 14 days of stress). Samples were extracted and analyzed on a UHPLC-ESI-Q-TOF-HRMS system. Acquired data were processed using XCMS Online and MetaboAnalyst for multivariate and pathway activity analysis. Metabolism was affected by drought stress through clear segregation between control and stressed groups. More importantly, metabolism changed through time, gradually from 7 to 14 days. The pathways most affected by drought stress were: starch and sucrose metabolism, glyoxylate and dicarboxylate metabolism, alanine, aspartate and glutamate metabolism, arginine and proline metabolism, and glycine, serine and threonine metabolism. The analysis of the metabolic profile were efficient to correlate and differentiate groups of oil palm plants submitted to different levels of drought stress. Putative compounds and their affected pathways can be used in future multiomics analysis.

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