Effect of Peanut Seed Orientation on Germination, Seedling Biomass, and Morphology in an Oak Tree Sawdust Cultivation System

2017 ◽  
Vol 35 (4) ◽  
Keyword(s):  
Peanut Seed ◽  
Cultivation System ◽  
Seedling Biomass ◽  
Oak Tree

scholarly journals Effect of Oak Tree Sawdust Fermentation Period on Peanut Seed Germination, Seedling Biomass, and Morphology

Horticulturae ◽  
2021 ◽  
Vol 7 (7) ◽  
pp. 182
Author(s):  
Junsik Ahn ◽  
Soyeon Oh ◽  
Yang Joo Kang ◽  
KiBum Kim ◽  
Sung-Kwon Moon ◽  
...  
Keyword(s):  
Microbial Community ◽  
Seed Germination ◽  
Germination Rate ◽  
Peanut Seed ◽  
Arachis Hypogaea L ◽  
Vigor Index ◽  
Seedling Biomass ◽  
Oak Tree ◽  
Fermentation Period ◽  
Seedling Characteristics

Peanut (Arachis hypogaea L.) seeds were germinated to investigate the effect of the fermentation period of oak tree sawdust on germination viability and seedling characteristics. Its germination rate, seedling weight, length, and total vigor index were assessed. The seeds were sown in oak tree sawdust fermented for 0, 30, 45, and 60 days. The germination rates of the seeds in fermented sawdust were significantly different. The seeds in the 45-day fermented sawdust produced the heaviest biomass weight (4.6 g) with the longest true leaf (1.7 cm) and hypocotyl (3.4 cm) resulting in the highest total vigor index (925.8). In contrast, seeds in 0-day fermented sawdust had the lowest total vigor index (18.3). Microbiome analysis showed that the microbial community in the sawdust changed as the fermentation progressed, indicating that the microbial community seems to affect seed germination physiology. Taken together, 45-day fermented sawdust is recommended for optimal peanut seed germination and seedling growth.

Producing Quality Peanut Seed

EDIS ◽  
1969 ◽  
Vol 2002 (8) ◽  
Author(s):  
Elmo B. Whitty
Keyword(s):  
Cooperative Extension ◽  
Cooperative Extension Service ◽  
Extension Service ◽  
Publication Date ◽  
Original Publication ◽  
Peanut Seed ◽  
University Of Florida ◽  
Agricultural Sciences

This document is SS-AGR-187, one of a series of the Agronomy Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. Original publication date November 2002.

Hawthorne's Oak Tree Image

1960 ◽  
Vol 15 (2) ◽  
pp. 181-185
Author(s):  
Virginia O. Birdsall
Keyword(s):  
Oak Tree ◽  
Tree Image

Organic Farming System for Producing Healthy Rice Oleh

2018 ◽  
Vol 9 (04) ◽  
pp. 20213-20217
Author(s):  
Dr. Ir. Ni.Gst.Ag.Gde Eka Martiningsih ◽  
Dr.Ir. I Putu Sujana, MS
Keyword(s):  
Elementary Education ◽  
Dry Weight ◽  
Farming System ◽  
Rice Cultivation ◽  
Cultivation System ◽  
Organic Rice ◽  
Organic Cultivation ◽  
A Value ◽  
Cultivation Technology ◽  
Organic Farming System

Introduction of organic rice-based rice cultivation technology package through demplot is done in Subak Sungi 1 using ciherang variety. The number of farmers participating in demonstration plots in organic cultivation of paddy-based rice cultivation were 5 people, with age of farmers aged greater than 55 years occupying the highest percentage (45.45%), with elementary education level (72.75%), followed by high school education (18.25%), and junior high (9%). The average farmland area is 34.63 acres, with self-owned status (55,94%), status as penyakap 41,18% and rent status 2,88%. The farmers' response to the organic rice-based rice planting assessment is quite high, as evidenced by the evaluation that 100% of farmers participating in demonstration plots know and understand about organic rice system cultivation, and they agree to develop this cultivation system in the future. Demplot research results can increase the yield components and weight of dry grain harvest per hectare. Organic rice-based rice cultivation technology EVAGRO able to increase production of dry grain harvest significantly with a value of 6.8 tons / ha. There is a tendency of dry weight value of ciherang varieties of 6.8 tons / ha giving highest but not significantly different with PGPR organic based technology.

Expression Analysis of Genes Involved in Peanut Seed Dormancy Release (Arachis hypogaeaL.)

2015 ◽  
Vol 41 (6) ◽  
pp. 845 ◽  
Author(s):  
Jing CHEN ◽  
Ling JIANG ◽  
Chun-Ming WANG ◽  
Xiao-Hui HU ◽  
Hu-Qu ZHAI ◽  
...  
Keyword(s):  
Seed Dormancy ◽  
Expression Analysis ◽  
Dormancy Release ◽  
Peanut Seed

Evaluation of α-amylase Inhibition and Cytotoxic Activities of the Arachis hypogaea and Cinnamomum tamala

2020 ◽  
Vol 16 ◽  
Author(s):  
Deedarul Hyder Sani ◽  
Ali Newaz Munna ◽  
Mohammad Salim ◽  
Md. Jahangir Alam ◽  
Md. Jahangir Alam
Keyword(s):  
Brine Shrimp ◽  
Ethanol Extract ◽  
Acetone Extract ◽  
Cytotoxic Activities ◽  
Inhibition Activity ◽  
Inhibition Assay ◽  
Peanut Seed ◽  
Lc50 Value ◽  
Cinnamomum Tamala ◽  
Ic50 Value

Background: Diabetes mellitus is the most occurring non-communicable disease resulting in a high blood glucose level. There has been an immense interest in the development of alternative medicines for diabetes treatment, specifically screening functional foods for phytochemicals with the capability of delaying or preventing glucose absorption through digestive enzymes (e.g. α-amylase) inhibition. So, the development of α-amylase inhibitors derived from natural food products is an alternative way to prevent diabetes mellitus Objective: In this study, organic solvent extracts of the Arachis hypogaea (Peanut) and Cinnamomum tamala (Indian bay leaf /Tejpata) were used to investigate their potential α-amylase inhibition and cytotoxic activities through α-amylase inhibition assay and brine shrimp lethality bioassay respectively Method: The α-amylase inhibition assay was performed using the 3,5-dinitrosalicylic acid method for different concentrations of plant extracts. The optical density (OD) of the solutions were measured to determine the inhibition activity at 540 nm using a spectrophotometer. The cytotoxicity of the plant extracts was measured using brine shrimp (Artemia salina) lethality bioassay Results: Among the different organic solvent extracts, peanut seed ethanol extract showed the highest α-amylase inhibition activity (67.68±8.67%) at 1.25 μg/mL concentration with an IC50 value of 0.61 μg/mL which is very close to standard α-amylase inhibitor Acarbose (72.34±4.23%) with an IC50 value of 0.32 μg/mL while acetone extract of Indian bay leaf exhibited the lowest inhibition activity (47.75±1.63%) with an IC50 value of 1.42 μg/mL at the same concentration. Besides, the maximum cytotoxic activity was found in acetone extract of peanut shell with an LC50 value of 57.87 μg/mL whereas ethanol extract of peanut seed showed the lowest cytotoxicity with an LC50 value of 413.90 μg/mL Conclusion: The result of the present work clearly indicates the potentiality of peanut seed ethanol extract to be used in the management of hyperglycemia as it significantly inhibits α-amylase activity while showing less cytotoxic activities

Double Line Clustering based Colour Image Segmentation Technique for Plant Disease Detection

2019 ◽  
Vol 15 (8) ◽  
pp. 769-776
Author(s):  
Kalaivani Subramani ◽  
Shantharajah Periyasamy ◽  
Padma Theagarajan
Keyword(s):  
Pattern Matching ◽  
Error Rate ◽  
Median Filter ◽  
Identification System ◽  
Double Line ◽  
Cultivation System ◽  
Matching Algorithm ◽  
Non Local ◽  
Mining Methods ◽  
Blight Disease

Background: Agriculture is one of the most essential industry that fullfills people’s need and also plays an important role in economic evolution of the nation. However, there is a gap between the agriculture sector and the technological industry and the agriculture plants are mostly affected by diseases, such as the bacterial, fungus and viral diseases that lead to loss in crop yield. The affected parts of the plants need to be identified at the beginning stage to eliminate the huge loss in productivity. Methods: In the present scenario, crop cultivation system depend on the farmers experience and the man power, but it consumes more time and increases error rate. To overcome this issue, the proposed system introduces the Double Line Clustering technique based disease identification system using the image processing and data mining methods. The introduced method analyze the Anthracnose, blight disease in grapes, tomato and cucumber. The leaf images are captured and the noise has been removed by non-local median filter and the segmentation is done by double line clustering method. The segmented part compared with diseased leaf using pattern matching algorithm. Methods: In the present scenario, crop cultivation system depend on the farmers experience and the man power, but it consumes more time and increases error rate. To overcome this issue, the proposed system introduces the Double Line Clustering technique based disease identification system using the image processing and data mining methods. The introduced method analyze the Anthracnose, blight disease in grapes, tomato and cucumber. The leaf images are captured and the noise has been removed by non-local median filter and the segmentation is done by double line clustering method. The segmented part compared with diseased leaf using pattern matching algorithm. Conclusion: The result of the clustering algorithm achieved high accuracy, sensitivity, and specificity. The feature extraction is applied after the clustering process which produces minimum error rate.

scholarly journals Mapping current and potential future distributions of the oak tree (Quercus aegilops) in the Kurdistan Region, Iraq

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Nabaz R. Khwarahm
Keyword(s):  
Climate Change ◽  
Habitat Suitability ◽  
Environmental Variables ◽  
Climate Changes ◽  
Future Climate ◽  
Annual Precipitation ◽  
Future Climate Change ◽  
Climate Change Scenarios ◽  
Kurdistan Region ◽  
Oak Tree

Abstract Background The oak tree (Quercus aegilops) comprises ~ 70% of the oak forests in the Kurdistan Region of Iraq (KRI). Besides its ecological importance as the residence for various endemic and migratory species, Q. aegilops forest also has socio-economic values—for example, as fodder for livestock, building material, medicine, charcoal, and firewood. In the KRI, Q. aegilops has been degrading due to anthropogenic threats (e.g., shifting cultivation, land use/land cover changes, civil war, and inadequate forest management policy) and these threats could increase as climate changes. In the KRI and Iraq as a whole, information on current and potential future geographical distributions of Q. aegilops is minimal or not existent. The objectives of this study were to (i) predict the current and future habitat suitability distributions of the species in relation to environmental variables and future climate change scenarios (Representative Concentration Pathway (RCP) 2.6 2070 and RCP8.5 2070); and (ii) determine the most important environmental variables controlling the distribution of the species in the KRI. The objectives were achieved by using the MaxEnt (maximum entropy) algorithm, available records of Q. aegilops, and environmental variables. Results The model demonstrated that, under the RCP2.6 2070 and RCP8.5 2070 climate change scenarios, the distribution ranges of Q. aegilops would be reduced by 3.6% (1849.7 km2) and 3.16% (1627.1 km2), respectively. By contrast, the species ranges would expand by 1.5% (777.0 km2) and 1.7% (848.0 km2), respectively. The distribution of the species was mainly controlled by annual precipitation. Under future climate change scenarios, the centroid of the distribution would shift toward higher altitudes. Conclusions The results suggest (i) a significant suitable habitat range of the species will be lost in the KRI due to climate change by 2070 and (ii) the preference of the species for cooler areas (high altitude) with high annual precipitation. Conservation actions should focus on the mountainous areas (e.g., by establishment of national parks and protected areas) of the KRI as climate changes. These findings provide useful benchmarking guidance for the future investigation of the ecology of the oak forest, and the categorical current and potential habitat suitability maps can effectively be used to improve biodiversity conservation plans and management actions in the KRI and Iraq as a whole.

scholarly journals Arbuscular mycorrhizal symbiosis facilitates apricot seedling (Prunus sibirica L.) growth and photosynthesis in northwest China

2021 ◽  
Author(s):  
Yinli Bi ◽  
Linlin Xie ◽  
Zhigang Wang ◽  
Kun Wang ◽  
Wenwen Liu ◽  
...  
Keyword(s):  
Arbuscular Mycorrhizal ◽  
Am Fungi ◽  
Northwest China ◽  
Shaanxi Province ◽  
Mycorrhizal Symbiosis ◽  
Seedling Physiology ◽  
Grassland Ecosystems ◽  
Time Period ◽  
Seedling Biomass ◽  
Experimental Treatments

AbstractArbuscular mycorrhizal (AM) fungi can successfully enhance photosynthesis (Pn) and plants growth in agricultural or grassland ecosystems. However, how the symbionts affect species restoration in sunlight-intensive areas remains largely unexplored. Therefore, this study’s objective was to assess the effect of AM fungi on apricot seedling physiology, within a specific time period, in northwest China. In 2010, an experimental field was established in Shaanxi Province, northwest China. The experimental treatments included two AM fungi inoculation levels (0 or 100 g of AM fungal inoculum per seedling), three shade levels (1900, 1100, and 550 µmol m−2 s−1), and three ages (1, 3, and 5 years) of transplantation. We examined growth, Pn, and morphological indicators of apricot (Prunus sibirica L.) seedling performances in 2011, 2013, and 2015. The colonization rate in mycorrhizal seedlings with similar amounts of shade is higher than the corresponding controls. The mycorrhizal seedling biomass is significantly higher than the corresponding non-mycorrhizal seedling biomass. Generally, Pn, stomatal conductance (Gs), transpiration rate (Tr), and water use efficiency are also significantly higher in the mycorrhizal seedlings. Moreover, mycorrhizal seedlings with light shade (LS) have the highest Pn. WUE is increased in non-mycorrhizal seedlings because of the reduction in Tr, while Tr is increased in mycorrhizal seedlings with shade. There is a significant increase in the N, P, and K fractions detected in roots compared with shoots. This means that LS had apparent benefits for mycorrhizal seedlings. Our results also indicate that AM fungi, combined with LS, exert a positive effect on apricot behavior.

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