scholarly journals Respon Pertumbuhan dan Hasil Padi (Oryza sativa L.) terhadap Cekaman Suhu Tinggi

2019 ◽  
Vol 47 (2) ◽  
pp. 119-125
Author(s):  
Miftakhul Bakhrir Rozaq Khamid ◽  
Ahmad Junaedi ◽  
Iskandar Lubis ◽  
Dan Yoshinori Yamamoto
Keyword(s):  
Oryza Sativa L ◽  
Global Climate ◽  
Atmospheric Temperature ◽  
Maximum Temperature ◽  
Rice Varieties ◽  
Area Index ◽  
Average Temperature ◽  
Spad Value ◽  
Productive Tiller ◽  
Increasing Temperature

Global climate change will imply to increase in atmospheric temperature, which can affect the sensitive stadia and decrease rice yield. The objective of this research was to study the growth and production of rice varieties under hightemperature stress. This research was conducted using a split-plot design under partitioned polyethylene house in order to create temperature differences among main-plots. The partitioned treatment successfully increased by 1.7 °C of average temperature with a maximum temperature of 35.0 °C (T1) and 37.6 °C (T2). Rice varieties, namely IR64, Ciherang, IPB-3S, Way Apo Buru, Jatiluhur, Menthik Wangi and Silugonggo were randomized as sub-plot. The results showed that increasing temperature had no significant effect on plant height, tiller number, SPAD-value, leaf area index, and crop growth rate, but significantly decreased 1,000 grains weight by 4.57% and harvest index by 20%. The interaction between temperature and varieties significantly affected a percentage of a productive tiller and partially filled spikelets. Ciherang variety produced the lowest percentage of productive tillers on T2 by 57.6%. Way Apo Buru variety produced the lowest percentage of partially filled spikelets on T2 by 3.01%.

scholarly journals Growth parameters and yield attributing characters of PR-118 (V1) and PR-116 (V2) varieties of rice (Oryza sativa L.) as influenced by different planting methods

2014 ◽  
Vol 6 (2) ◽  
pp. 755-762
Author(s):  
Amandeep Kaur ◽  
L. K. Dhaliwal
Keyword(s):  
Conventional Method ◽  
Field Experiments ◽  
Growth Parameters ◽  
Oryza Sativa L ◽  
Dry Weight ◽  
Growth And Yield ◽  
Rice Varieties ◽  
Area Index ◽  
Planting Methods ◽  
Planting Method

Field experiments were conducted at Punjab Agricultural University, Ludhiana (Punjab) to study the effect of different agronomic aspects of bed planting on growth and yield of rice during Kharif seasons of 2012 and 2013. The 30 days old seedlings of both rice varieties PR-118 (V1) and PR-116 (V2) were transplanted on 15th June (D1), 30th June (D2) and 15th July (D3). The two rice varieties were transplanted under bed planting (M1) and conventional planting (M2) methods respectively. The results showed that growth parameters like number of tillers per plant, dry weight per plant leaf area index (LAI) and plant height were significantly higher in bed planting than conventional method. In bed planting method, grain yield of rice (48.82q/h) was found to be more than the conventional method (35.74 q/h) during 2012.Varieties PR-118 yielded 47.61q/h more than PR-116 (39.97 q/h) in bed planting. Yield contributing characters like number of effective tillers, number of grains per plant and 1000-grain weight of rice were more in bed planting than conventional method. Harvest index and biological yield was also found to be more in bed planting method than conventional planting. Rice transplanted on 15th June yielded (50.15q/h) more than 30th June (41.45q/h) and 15th July (35.27q/h). Similar results were found in Kharif 2013. Interaction between dates of transplanting and varieties and between varieties and planting methods were found significant.

scholarly journals Evaluation of Growth and Physiological Responses of Three Rice (Oryza sativa L.) Varieties to Elevated Temperatures

2019 ◽  
Vol 6 (01) ◽  
pp. 17-23
Author(s):  
Dede Yudo Kurniawan ◽  
Ahmad Junaedi ◽  
Iskandar Lubis ◽  
Titi Candra Sunarti
Keyword(s):  
Elevated Temperatures ◽  
Oryza Sativa L ◽  
Block Design ◽  
Physiological Responses ◽  
Dry Weight ◽  
Maximum Temperature ◽  
Rice Varieties ◽  
Shoot Dry Weight ◽  
Randomized Block Design ◽  
Two Factors

Temperature is a primary factor that affects the rate of plant development and has great impacts on plant growth, metabolism, and yield. A study was conducted to analyze the effects of elevated temperature on rice morphological and the physiological growth. The research was arranged in a nested randomized block design consisting of two factors, temperatures and rice varieties. Elevated temperatures were provided through the uses of different materials of plastic roof and walls to have an average and maximum temperature of 27.6 °C and 41.6 °C (T1); 28.1°C and 43.8 °C (T2), and 29.5°C and 47.1 C (T3), respectively. The study used three varieties of rice, “Ciasem”, “Ciherang”, and “IR64”. All rice varieties showed signifi cant increases in tiller number per hill and shoot dry weight, but had a decrease in the stomatal conductance, transpiration rate, and SPAD values at grain fi lling stage with the increasing temperatures. The number of tiller per hill increased when temperature was elevated from 27.6 to 28.1 and 29.5°C by about 29.9 and 21.3%, respectively.

scholarly journals Genetic variability for grain yield and yield associated traits in transplant Aman rice (Oryza sativa L.)

2015 ◽  
Vol 2 (2) ◽  
pp. 207-213
Author(s):  
Mashtura Begum ◽  
Md Amir Hossain ◽  
Fakir Muhammad Munawar Hossain ◽  
Ahmed Khairul Hasan
Keyword(s):  
Grain Yield ◽  
Oryza Sativa L ◽  
Rice Variety ◽  
Crop Improvement ◽  
Genetic Advance ◽  
Improvement Program ◽  
Rice Varieties ◽  
Spad Value ◽  
Crop Varieties ◽  
Planting Materials

For any crop improvement program, it is imperative to assess the grain yield progress of the existing crop varieties to find the further avenue to out yield the existing superior ones. Therefore, an experiment was conducted at the Agronomy Field Laboratory, Bangladesh Agricultural University, Mymensingh from July to December 2013 to find out the genetic variation for grain yield and their associated traits of transplant Aman rice varieties. The experiment consisted of 11 varieties viz. Bashiraj, Binadhan-7, BR10, BR11, BR22, BR23, BRRIdhan32, BRRIdhan39, BRRIdhan49, BRRIdhan57 and IR64. The high yielding Bangladeshi varieties were selected based on their releasing year with a local and one exotic T. Aman rice varieties. Among the varieties, BR10 produced the highest grain yield (3.83 t ha-1). Binadhan-7 rice variety recorded the highest chlorophyll content (39.93 SPAD value) at 29DAT, (44 SPAD value) at 39 DAT and (47.30 SPAD value) at 49 DAT. The highest phenotypic (1491.81) and genotypic (1147.26) variances and genetic advance (61.19) were obtained from spikelets panicle-1 and this parameter had greater ability to increase yield. Among the traits, the highest heritability was recorded by effective tillers hill-1 (87.91%) which influenced the grain yield. Therefore, it may be concluded that the variety BR10 of transplant Aman rice produced maximum grain yield, spikelets panicle-1, showed high phenotypic and genotypic variances and genetic advance. Bashiraj, BRRIdhan49 and BRRIdhan57 also can be considered as planting materials as their yield performance is close to BR 10. Therefore, the findings of the present study will help the breeders for further yield improvement of rice.Res. Agric., Livest. Fish.2(2): 207-213, August 2015

scholarly journals Five Decadal Trends in Averages and Extremes of Rainfall and Temperature in Sri Lanka

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
G. Naveendrakumar ◽  
Meththika Vithanage ◽  
Hyun-Han Kwon ◽  
M. C. M. Iqbal ◽  
S. Pathmarajah ◽  
...  
Keyword(s):  
Sri Lanka ◽  
Global Climate ◽  
Daily Rainfall ◽  
Kendall Test ◽  
Southwest Monsoon ◽  
Maximum Temperature ◽  
Daily Temperature Range ◽  
Average Temperature ◽  
Mann Kendall Test ◽  
Annual Average Temperature

In this study, we used a comprehensive set of statistical metrics to investigate the historical trends in averages and extremes of rainfall and temperature in Sri Lanka. The data consist of 55 years (1961–2015) of daily rainfall, maximum temperature (Tmax), and minimum temperature (Tmin) records from 20 stations scattered throughout Sri Lanka. The linear trends were analyzed using the nonparametric Mann–Kendall test and Sen–Theil regression. The prewhitening method was first used to remove autocorrelation from the time series, and the modified seasonal Mann–Kendall test was then applied for the seasonal data. The results show that, during May, 15% of the stations showed a significant decrease in wet days, which may be due to the delayed southwest monsoon (SWM) to Sri Lanka. A remarkable increase in the annual average temperature of Tmin and Tmax was observed as 70% and 55% of the stations, respectively. For the entire period, 80% of the stations demonstrated statistically significant increases of Tmin during June and July. The daily temperature range (DTR) exhibited a widespread increase at the stations located within the southwestern coast region of Sri Lanka. Although changes in global climate, teleconnections, and local deforestation in recent decades at least partially influence the trends observed in Sri Lanka, a formal trend attribution study should be conducted.

scholarly journals Respon dan Produktivitas Padi Rawa terhadap Cekaman Rendaman Stagnan untuk Pengembangan di Lahan Rawa Lebak

2015 ◽  
Vol 43 (1) ◽  
pp. 15 ◽  
Author(s):  
Yullianida , ◽  
Sintho Wahyuning Ardie ◽  
Suwarno , ◽  
Hajrial Aswidinnoor
Keyword(s):  
Grain Yield ◽  
Global Climate ◽  
Stem Elongation ◽  
Block Design ◽  
Wet Season ◽  
Rice Varieties ◽  
Flooding Stress ◽  
Global Climate Changes ◽  
Flood Intensity ◽  
Productive Tiller

ABSTRACT<br />The limited fertile land and increasing flood intensity as a result of global climate changes become serious constraints in the sustainability of national rice production. Improvement of rice varieties, especially for rice cultivation in swampy area is necessary. The objective of this research were to evaluate responses and productivity of rice genotypes to stagnant flooding stress which occurs on swampy area. A total of 22 genotypes had been tested, included Tapus, IR42, and IR64 as check varieties. Water level at stagnant flooding environment was 50-60 cm and  started from 35 days after planting until harvest. Research was conducted in wet season of 2011/2012 at Babakan Experimental Farm, Bogor Agricultural University. The experiment used randomized block design with three replicates. The results showed that stagnant flooding stress caused an increase in plant height, flowering and maturity date, number of unfilled grain, and stem elongation ability. On the other hand, the number of productive tiller and the number of filled grain decreased. The number of filled grain positively correlated with grain yield (r = 0.74**), but stem elongation ability didn’t have strong correlation with grain yield (r = -0.29). Genotypes IPB107-F-5-1-1 and IPB107-F-82-2-1 showed the highest productivity, 5.47 ton ha-1 and 5.80 ton ha-1,, respectively, at which productivity decreased up to 20% compared to optimum condition. <br />Keywords: basin swampy rice, stagnant flooding

scholarly journals Experimental Study on Infrared Temperature Characteristics and Failure Modes of Marble with Prefabricated Holes under Uniaxial Compression

Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 713
Author(s):  
Yanyan Peng ◽  
Qunchao Lin ◽  
Manchao He ◽  
Chun Zhu ◽  
Haijiang Zhang ◽  
...  
Keyword(s):  
Uniaxial Compression ◽  
Failure Modes ◽  
Rock Sample ◽  
Vertical Axis ◽  
Maximum Temperature ◽  
Thermal Imager ◽  
Infrared Thermal Imaging ◽  
Average Temperature ◽  
Observation Area ◽  
Evolution Behavior

In rock engineering, it is of great significance to study the failure mechanical behavior of rocks with holes. Using a combination of experiment and infrared detection, the strength, deformation, and infrared temperature evolution behavior of marble with elliptical holes under uniaxial compression were studied. The test results showed that as the vertical axis b of the ellipse increased, the peak intensity first decreased and then increased, and the minimum value appeared when the horizontal axis was equal to the vertical axis. The detection results of the infrared thermal imager showed that the maximum temperature, minimum temperature, and average temperature of the observation area in the loading stage showed a downward trend, and the range of change was between 0.02 °C and 1 °C. It was mainly due to the accumulation of energy in the loading process of the rock sample that caused the surface temperature of the specimen to decrease. In the brittle failure stage, macroscopic cracks appeared on the surface of the rock sample, which caused the energy accumulated inside to dissipate, thereby increasing the maximum temperature and average temperature of the rock sample. The average temperature increase was about 0.05 °C to about 0.19 °C. The evolution of infrared temperature was consistent with the mechanical characteristics of rock sample failure, indicating that infrared thermal imaging technology can provide effective monitoring for the study of rock mechanics. The research in this paper provides new ideas for further research on the basic characteristics of rock failure under uniaxial compression.

Hyperspectral characteristics and leaf area index monitoring of rice (Oryza sativa L.) under carbon dioxide concentration enrichment

2021 ◽  
Vol 54 (3) ◽  
pp. 231-243
Author(s):  
Chao Liu ◽  
Zhenghua Hu ◽  
Rui Kong ◽  
Lingfei Yu ◽  
Yuanyuan Wang ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Oryza Sativa ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Oryza Sativa L ◽  
Carbon Dioxide Concentration ◽  
Area Index

scholarly journals Seed Set Patterns in East African Highland Cooking Bananas Are Dependent on Weather before, during and after Pollination

Horticulturae ◽  
2021 ◽  
Vol 7 (7) ◽  
pp. 165
Author(s):  
Allan Waniale ◽  
Rony Swennen ◽  
Settumba B. Mukasa ◽  
Arthur K. Tugume ◽  
Jerome Kubiriba ◽  
...  
Keyword(s):  
Critical Period ◽  
Floral Development ◽  
Seed Set ◽  
Correlation Coefficients ◽  
Principal Component ◽  
Maximum Temperature ◽  
Fruit Pulp ◽  
East African ◽  
Average Temperature ◽  
Wild Banana

Seed set in banana is influenced by weather, yet the key weather attributes and the critical period of influence are unknown. We therefore investigated the influence of weather during floral development for a better perspective of seed set increase. Three East African highland cooking bananas (EAHBs) were pollinated with pollen fertile wild banana ‘Calcutta 4′. At full maturity, bunches were harvested, ripened, and seeds extracted from fruit pulp. Pearson’s correlation analysis was then conducted between seed set per 100 fruits per bunch and weather attributes at 15-day intervals from 105 days before pollination (DBP) to 120 days after pollination (DAP). Seed set was positively correlated with average temperature (P < 0.05–P < 0.001, r = 0.196–0.487) and negatively correlated with relative humidity (RH) (P < 0.05–P < 0.001, r = −0.158–−0.438) between 75 DBP and the time of pollination. After pollination, average temperature was negatively correlated with seed set in ‘Mshale’ and ‘Nshonowa’ from 45 to 120 DAP (P < 0.05–P < 0.001, r = −0.213–−0.340). Correlation coefficients were highest at 15 DBP for ‘Mshale’ and ‘Nshonowa’, whereas for ‘Enzirabahima’, the highest were at the time of pollination. Maximum temperature as revealed by principal component analysis at the time of pollination should be the main focus for seed set increase.

scholarly journals Reference carbon cycle dataset for typical Chinese forests via colocated observations and data assimilation

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Honglin He ◽  
Rong Ge ◽  
Xiaoli Ren ◽  
Li Zhang ◽  
Qingqing Chang ◽  
...  
Keyword(s):  
Northern Hemisphere ◽  
Global Climate ◽  
Meteorological Data ◽  
C Sequestration ◽  
Research Network ◽  
Soil Biology ◽  
Area Index ◽  
Ecosystem Research ◽  
Organic C ◽  
C Cycle

AbstractChinese forests cover most of the representative forest types in the Northern Hemisphere and function as a large carbon (C) sink in the global C cycle. The availability of long-term C dynamics observations is key to evaluating and understanding C sequestration of these forests. The Chinese Ecosystem Research Network has conducted normalized and systematic monitoring of the soil-biology-atmosphere-water cycle in Chinese forests since 2000. For the first time, a reference dataset of the decadal C cycle dynamics was produced for 10 typical Chinese forests after strict quality control, including biomass, leaf area index, litterfall, soil organic C, and the corresponding meteorological data. Based on these basic but time-discrete C-cycle elements, an assimilated dataset of key C cycle parameters and time-continuous C sequestration functions was generated via model-data fusion, including C allocation, turnover, and soil, vegetation, and ecosystem C storage. These reference data could be used as a benchmark for model development, evaluation and C cycle research under global climate change for typical forests in the Northern Hemisphere.

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