PERTUMBUHAN, KUANTITAS DAN KUALITAS RIMPANG JAHE (Zingiber officinale Roscoe) PADA CEKAMAN KEKERINGAN DI BAWAH NAUNGAN

2013 ◽  
Vol 14 (3) ◽  
Author(s):  
Lukita Devy ◽  
Winda Nawfetrias
Keyword(s):  
Drought Stress ◽  
Stress Condition ◽  
Field Capacity ◽  
Dry Weight ◽  
Zingiber Officinale ◽  
Opposite Trend ◽  
Zingiber Officinale Roscoe ◽  
Ginger Rhizome ◽  
Drought Stress Condition

This research studied the growth, quantity and quality of ginger rhizome under drought stress condition. The drought stress condition was 60% of soil field capacity. This experiment was arranged in randomized complete block designed. The treatments were drought stress periods (6, 4, 2 and 0 week before harvesting) with six replications. The result showed that drought stress period affected the quantity (rhizome dry weight) and quality (gingerol content) of ginger. Rhizome dry weight was decreased with the increase of drought stress period, while gingerol content showed opposite trend.

scholarly journals Response of some upland rice varieties to drought stress

2017 ◽  
Vol 1 (2) ◽  
pp. 69-77
Author(s):  
EDI PURWANTO ◽  
SAMANHUDI SAMANHUDI ◽  
YONIAR EFFENDI
Keyword(s):  
Drought Stress ◽  
Stress Condition ◽  
Upland Rice ◽  
Rice Variety ◽  
Dry Weight ◽  
Grain Weight ◽  
Rice Varieties ◽  
Resistance Level ◽  
Drought Stress Condition ◽  
Four Levels

Purwanto E, Samanhudi, Yoniar Effendi Y. 2017. Response of some upland rice varieties to drought stress. Trop Drylands 1: 69-77. The study aimed to examine the response of upland rice varieties at germination stage on several PEG (Polyethylene Glycol) 6000 concentration levels and to determine growth characteristics, physiological changes and yield of upland rice varieties under drought stress condition in a pot experiment. The study consisted of two experiments; the first was to study germination and early growth, and the second was to study the vegetative and generative growth of upland rice under drought stress condition. Experiments I and II were conducted in a completely randomized factorial design consisted of two factors and three replications. In experiments I, the first factor was upland rice variety comprised of 10 varieties and the second factor was PEG concentration consisted of four levels. In experiment II, the first factor was upland rice varieties that responded the best to drought stress in experiment I, and the second factor was the drought stress treatment consisted of moisture content at 100, 75, 50 and 25% field capacity. The research was conducted at the Laboratory of Plant Physiology and Biotechnology and the greenhouse of Faculty of Agriculture, Sebelas Maret University (UNS) Surakarta. The results showed that the germination and vigor index decreased with increasing levels of PEG concentration. PEG concentration of 25 g L-1 of water was the most optimum for screening drought resistant upland rice. In experiment I, Towuti, Situ Patengang, Kalimutu and Gajah Mungkur varieties showed the best response to drought stress. Increased intensity of drought stress resulted in a reduction of plant height, number of tillers, dry weight, relative growth rate, leaf area, number of grains hill-1, 1000 grain weight, dry grain weight hill-1 and root dry weight. The drought stress also caused an earlier flowering date and increased percentage of empty grain. Based on the dry grain weight hill-1, Towuti exhibited a higher drought resistance level than Gajah Mungkur, Situ Patenggang and Kalimutu.

scholarly journals Screening of Mungbean Genotypes under Polyethylene Glycol (PEG) Induced Drought Stress Condition

2020 ◽  
pp. 1-12
Author(s):  
Abdullah All Imtiaz ◽  
Saleh Ahmed Shahriar ◽  
Md. Abdullahil Baque ◽  
Most. Nurjahan Khatun Eaty ◽  
Maliha Rahman Falguni
Keyword(s):  
Drought Stress ◽  
Water Retention ◽  
Stress Condition ◽  
Dry Weight ◽  
Water Retention Capacity ◽  
Retention Capacity ◽  
Shoot Dry Weight ◽  
Root Shoot Ratio ◽  
Relative Water ◽  
Drought Stress Condition

Sixteen advance genotypes of mungbeans under 5 different concentrations of Polyethylene Glycol (PEG) were studied to find out the better cultivar against drought stress condition. The experiment results revealed that germination, seedling production and water-related behavior of mungbean genotypes differed significantly under different PEG (drought inducer) concentrations. The mungbean genotype BINA Mung-6 (V8) is proved as highly tolerant against drought stress condition among all other tested genotypes. The results of the investigation revealed that BINA Mung-6 (V8) genotype consistently scored the highest value for all parameters except for the root shoot ratio and water retention capacity that was statistically comparable to genotypes BARI Mung-4 (V2) and BINA Mung-5 (V7). Consistently poor performance were recorded from IPM-02-03 (V16) genotype which is statistically similar as genotypes BMXK1-09015-2 (V13) and BMXK1-09015-6 (V10). The maximum percentage of germination (98.12%), shoot length (139.40 mm), root length (99.07 mm), shoot dry weight (22.32 mg), root dry weight (6.88 mg), relative water content (94.78), water retention capacity (24.98), germination co-efficient (22.27) and vigor index (233.90) were reported from BINA Mung-6 (V8) at a concentration of 0 percent PEG. The minimum percentage of germination (28.22 percent), shoot length (31.17 mm), root length (16.50 mm), shoot dry weight (2.21 mg), root dry weight (0.97 mg), relative water content (25.55), water retention capacity (3.08), germination co-efficient (6.06) and vigor index (13.45) were reported from IPM-02-03 (V16) mungbean advance lines at 0 percent PEG. Maximum (0.92) root shoot ratio was recorded from both BARI Mung-8 (V6) and BMX-08011-2 (V11) mungbean genotypes at 20 percent PEG concentration and minimum (0.22) at 0 percent PEG concentration from BARI Mung-5 (V3) genotype. Maximum water retention capacity (74.45) was recorded at 20 per cent PEG concentration from IPM-02-03 (V16) genotype and minimum (5.22) was at 0 per cent PEG concentration from BINA Mung-6 (V8) genotype.

scholarly journals Growth Performance of Two Ginger (Zingiber officinale Roscoe) Varieties under Different Agroforestry Systems in Bangladesh

2020 ◽  
pp. 1-10
Author(s):  
S. Hossain ◽  
M. S. Rahman ◽  
K. N. Kona ◽  
M. S. Bari ◽  
N. Akter ◽  
...  
Keyword(s):  
Light Intensity ◽  
Open Field ◽  
Zingiber Officinale ◽  
Agroforestry Systems ◽  
Factor B ◽  
Zingiber Officinale Roscoe ◽  
Ginger Rhizome ◽  
Main Effect ◽  
Total Light

The experiments was conducted at a farmers’ field adjacent to the HSTU Research Farm, Dinajpur during 28th April to 13th December 2018 to evaluate growth and quality of two ginger (Zingiber officinale Roscoe) varieties under different tree such as ghoraneem, litchi and mango based Agroforestry systems. The experiment was two factors RCBD where Factor A (four Agroforestry systems) and Factor B (two ginger varieties). Factor A (Agroforestry system) were- T1=under Ghoraneem, T2= under Litchi, T3= under Mango and T4= Open field (control). Again, factor B (variety) were- V1= Deshiand V2= China. Therefore, the treatment combinations were T1V1, T1V2, T2V1, T2V2, T3V1, T3V2, T4V1 and T4V2. The experiment results revealed that the growth and quality of ginger were significantly varied by the main effect of different Agroforestry systems. The highest germination speed, plant height was higher under Ghoraneem (T1) but thehighest fresh rhizome weight (21600 kg/ha) was found under Mango based System (T3), whereas the highest dry rhizome weight (20%) was found under Open field condition (T4). The main effect of varieties on growth and quality of ginger were significantly varied. Germination speed, plant height, fresh rhizome weight was higher in deshi ginger (V1) but highest dry rhizome weight was found in china ginger (V2). The interaction effect of Agroforestry systems and ginger varieties was also significant. The highest germination found in T1V1.Again, the tallest plant was recorded in T1V2.The highest fresh rhizome weight (20865 kg/ha) was found in T3V1 but the highest dry rhizome weight was found inT4V1 (21.25 %). The relationship between light intensity and fresh ginger rhizome yield was inversely proportional. The highest ginger rhizome yield (21600 kg/ha) was found when the total light intensity was 115.50 LUX under Mango (T1) and the lowest ginger rhizome yield(18366 kg/ha) was when the total light intensity was 321.50 LUX in open field (T4).

EFEK PENAMBAHAN EKSTRAK AIR JAHE (Zingiber officinale Roscoe) DAN PENYIMPANAN DINGIN TERHADAP MUTU SENSORI IKAN TUNA (Thunnus albacores)

2010 ◽  
Vol 6 (1) ◽  
pp. 36
Author(s):  
Silvana Dinaintang Harikedua
Keyword(s):  
Sensory Quality ◽  
Zingiber Officinale ◽  
The Other ◽  
Ginger Extract ◽  
Other Hand ◽  
Storage Treatment ◽  
Zingiber Officinale Roscoe ◽  
Hedonic Scale ◽  
And Storage

The objective of this study was to investigate the effect of ginger extract addition and refrigerate storage on sensory quality of Tuna through panelist’s perception. Panelists (n=30) evaluated samples for overall appearance and flavor attribute using hedonic scale 1–7. The sample which is more acceptable by panelists on flavor attributes having 3% gingers extract and storage for 3 days. The less acceptable sample on flavor attribute having 0% ginger extract and storage for 9 days. On the other hand, the sample which is more acceptable by panelists on overall appearance having 0% ginger extract without storage treatment. The less acceptable sample on overall appearance having 3% ginger extract and storage for 9 days.

scholarly journals Foliar applications of bio-fabricated selenium nanoparticles to improve the growth of wheat plants under drought stress

2020 ◽  
Vol 9 (1) ◽  
pp. 706-714
Author(s):  
Muhammad Ikram ◽  
Naveed Iqbal Raja ◽  
Bilal Javed ◽  
Zia-ur-Rehman Mashwani ◽  
Mubashir Hussain ◽  
...  
Keyword(s):  
Drought Stress ◽  
Field Capacity ◽  
Dry Weight ◽  
Positive Control ◽  
Morphological Characterization ◽  
Leaf Length ◽  
Selenium Nanoparticles ◽  
Fresh Weight ◽  
Wheat Varieties ◽  
Shoot Dry Weight

AbstractThe present study was aimed to biosynthesize selenium nanoparticles (SeNPs) and assess their foliar applications to improve the growth of wheat plants under controlled irrigation and drought stress. Bud aqueous extract of Allium sativum L. was used as a reducing and stabilizing agent of SeNPs followed by their optical and morphological characterization by using ultraviolet-visible spectroscopy, scanning electron microscopy, Fourier-transform infrared, and energy dispersive X-ray analysis. Various concentrations of SeNPs (10, 20, 30, and 40 mg/L) were applied exogenously to drought-tolerant (V1) and drought-susceptible (V2) wheat varieties at the trifoliate stage. Under the positive control conditions, plants were irrigated with 450 mL of water/pot (100% field capacity); and under water-deficit environment, plants were irrigated with 160 mL of water/pot (35% field capacity). Remarkable increase in plant height, shoot length, shoot fresh weight, shoot dry weight, root length, root fresh weight, root dry weight, leaf area, leaf number, and leaf length has been observed when 30 mg/L concentration of SeNPs was used. However, the plant morphological parameters decreased gradually at higher concentrations (40 mg/L) in both selected wheat varieties. Therefore, 30 mg/L concentration of SeNPs was found most preferable to enhance the growth of selected wheat varieties under normal and water-deficient conditions.

scholarly journals Combined Metabolome and Transcriptome Analyses of Young, Mature, and Old Rhizome Tissues of Zingiber officinale Roscoe

2021 ◽  
Vol 12 ◽  
Author(s):  
Huanfang Liu ◽  
Honghua Yang ◽  
Tong Zhao ◽  
Canjia Lin ◽  
Yongqing Li ◽  
...  
Keyword(s):  
Linoleic Acid ◽  
Acid Metabolism ◽  
Zingiber Officinale ◽  
Sucrose Metabolism ◽  
Gene Expressions ◽  
Zingiber Officinale Roscoe ◽  
Ginger Rhizome ◽  
Linoleic Acid Metabolism ◽  
Phenylpropanoid Biosynthesis ◽  
Metabolome Profiling

Ginger (Zingiber officinale Roscoe) is known for its unique pungent taste and useability in traditional Chinese medicine. The main compounds in ginger rhizome can be classified as gingerols, diarylheptanoids, and volatile oils. The composition and concentrations of the bioactive compounds in ginger rhizome might vary according to the age of the rhizome. In this regard, the knowledge on the transcriptomic signatures and accumulation of metabolites in young (Y), mature (M), and old (O) ginger rhizomes is scarce. This study used HiSeq Illumina Sequencing and UPLC-MS/MS analyses to delineate how the expression of key genes changes in Y, M, and O ginger rhizome tissues and how it affects the accumulation of metabolites in key pathways. The transcriptome sequencing identified 238,157 genes of which 13,976, 11,243, and 24,498 were differentially expressed (DEGs) in Y vs. M, M vs. O, and Y vs. O, respectively. These DEGs were significantly enriched in stilbenoid, diarylheptanoid, and gingerol biosynthesis, phenylpropanoid biosynthesis, plant-hormone signal transduction, starch and sucrose metabolism, linoleic acid metabolism, and α-linoleic acid metabolism pathways. The metabolome profiling identified 661 metabolites of which 311, 386, and 296 metabolites were differentially accumulated in Y vs. M, Y vs. O, and M vs. O, respectively. These metabolites were also enriched in the pathways mentioned above. The DEGs and DAMs enrichment showed that the gingerol content is higher in Y rhizome, whereas the Y, M, and O tissues differ in linoleic and α-linoleic acid accumulation. Similarly, the starch and sucrose metabolism pathway is variably regulated in Y, M, and O rhizome tissues. Our results showed that ginger rhizome growth slows down (Y > M > O) probably due to changes in phytohormone signaling. Young ginger rhizome is the most transcriptionally and metabolically active tissue as compared to M and O. The transitioning from Y to M and O affects the gingerol, sugars, linoleic acid, and α-linoleic acid concentrations and related gene expressions.

scholarly journals Determination of the best indirect selection criteria in Iranian durum wheat (Triticum aestivum L.) genotypes under irrigated and drought stress conditions

Genetika ◽  
2015 ◽  
Vol 47 (2) ◽  
pp. 549-558 ◽  
Author(s):  
Ahmad Golparvar ◽  
Mohammad Gheisari ◽  
Davoud Naderi ◽  
Ali Mehrabi ◽  
Amin Hadipanah ◽  
...  
Keyword(s):  
Drought Stress ◽  
Durum Wheat ◽  
Total Variation ◽  
Seed Yield ◽  
Stress Condition ◽  
Spike Density ◽  
Plant Seed ◽  
Wheat Genotypes ◽  
Drought Stress Condition ◽  
Yield Factor

In order to evaluate and classify morphological and morpho-physiological traits of durum wheat genotypes in drought and irrigated conditions 200 durum wheat genotypes were sown in modify augmented design with four replications during 2013- 2014 farming season. Two replications were considered as drought condition and two as irrigated. Factor analysis based on principal component analysis method and varimax rotation indicated that four important factors accounted for about 87 and 92 percent of the total variation among traits in drought and irrigated conditions, respectively. In drought stress condition, the first factor assigned 37 percent of total variation between traits and was significantly related with spike yield and it?s components. Therefore, this factor was regarded as spike seed yield factor. Other factors in drought stress condition accounted for 22, 16 and 12 percent of variation between traits and were entitled as plant seed yield, spike density and assimilate transmission factors, respectively. In irrigated condition, the first factor assigned 36 percent of total variation between traits and was significantly related with traits plant and spike seed yield, plant and spike harvest index, No. seed/spike and plant height. This factor was regarded as plant seed yield factor. Other factors in irrigated condition accounted for 24, 18 and 14 percent of variation between traits and were entitled as production, assimilate transmission and spike density factors, respectively. Overall, results revealed effect of different environments on extracted factors, percent of variation accounted for by factors and traits related with each factor.

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