Temperature and growth duration influence phosphorus deficiency tolerance classification of rice cultivars

1992 ◽  
Vol 23 (1-2) ◽  
pp. 35-49 ◽  
Author(s):  
H.H. Hung ◽  
J.W. Stansel ◽  
F.T. Turner
Keyword(s):  
Phosphorus Deficiency ◽  
Rice Cultivars ◽  
Growth Duration ◽  
Temperature And Growth

Biomass and nutrient accumulation rates of rice cultivars differing in their growth duration when grown in fertile and low-fertile soils

2019 ◽  
Vol 43 (2) ◽  
pp. 251-269 ◽  
Author(s):  
Lalith Suriyagoda ◽  
Dinarathne Sirisena ◽  
Deepthika Kekulandara ◽  
Pradeepa Bandaranayake ◽  
Gamini Samarasinghe ◽  
...  
Keyword(s):  
Nutrient Accumulation ◽  
Rice Cultivars ◽  
Accumulation Rates ◽  
Growth Duration

Availability of existing early-season rice cultivars as resources for selecting high-yielding short-duration cultivars of machine-transplanted late-season rice

2019 ◽  
Vol 56 (2) ◽  
pp. 218-226
Author(s):  
Jiana Chen ◽  
Min Huang ◽  
Fangbo Cao ◽  
Xiaohong Yin ◽  
Yingbin Zou
Keyword(s):  
Grain Yield ◽  
Short Duration ◽  
Good Yield ◽  
Rice Production ◽  
Hunan Province ◽  
Rice Cultivars ◽  
Growth Duration ◽  
Yield Performance ◽  
Early Season ◽  
Late Season

AbstractHigh-yielding short-duration cultivars are required due to the development of mechanized large-scale double-season rice (i.e. early- and late-season rice) production in China. The objective of this study was to identify whether existing early-season rice cultivars can be used as resources to select high-yielding, short-duration (less than 115 days) cultivars of machine-transplanted late-season rice. Field experiments were conducted in Yongan, Hunan Province, China in the early and late rice-growing seasons in 2015 and 2016. Eight early-season rice cultivars (Liangyou 6, Lingliangyou 211, Lingliangyou 268, Xiangzaoxian 32, Xiangzaoxian 42, Zhongjiazao 17, Zhongzao 39, and Zhuliangyou 819) with growth durations of less than 115 days were used in 2015, and four cultivars (Lingliangyou 268, Zhongjiazao 17, Zhongzao 39, and Zhuliangyou 819) with good yield performance in the late season in 2015 were grown in 2016. All cultivars had a growth duration of less than 110 days when grown in the late season in both years. Zhongjiazao 17 produced the maximum grain yield of 9.61 Mg ha−1 with a daily grain yield of 108 kg ha−1 d−1 in the late season in 2015. Averaged across both years, Lingliangyou 268 had the highest grain yield of 8.57 Mg ha−1 with a daily grain yield of 95 kg ha−1 d−1 in the late season. The good yield performance of the early-season rice cultivars grown in the late season was mainly attributable to higher apparent radiation use efficiency. Growth duration and grain yield of early-season rice cultivars grown in the late season were not significantly related to those grown in the early season. Our study suggests that it is feasible to select high-yielding short-duration cultivars from existing early-season rice cultivars for machine-transplanted late-season rice production. Special tests by growing alternative early-season rice cultivars in the late season should be done to determine their growth duration and grain yield for such selection.

Variation in development of contrasting rice cultivars

1994 ◽  
Vol 123 (1) ◽  
pp. 35-39 ◽  
Author(s):  
N. Senanayake ◽  
R. E. L. Naylor ◽  
S. K. De Datta ◽  
W. J. Thomson
Keyword(s):  
Cultivar Differences ◽  
Rice Grain ◽  
Rice Cultivars ◽  
Growth Duration ◽  
Potential Yield ◽  
Maturity Date ◽  
Before And After ◽  
Initiation Stage ◽  
N Management ◽  
Yield Determinants

SummaryExperiments were conducted in glasshouses at IRRI, Philippines, during 1987 and 1988 to identify varietal differences in apical development using six rice cultivars having extreme characters; Jirasar 280 (early senescence), Neo-Dunghan 1 (late senescence), Macunting (small seeds), ABB (large seeds), C12474–1 (long culm), and B581–A6–458 (short culm); and five cultivars, IR20, IR22, IR34, IR54, IR64, of the same growth duration.The length of time from physiological panicle initiation (PI) to flowering varied from 25 to 50 days. The onset of physiological PI occurred when the fourth penultimate leaf was fully exserted. The visual panicle initiation stage (VPI) coincided with spikelet differentiation in all cultivars. Nitrogen top-dressing at 55–57 days before the anticipated maturity date (the present N management recommendation) did not coincide with the actual panicle initiation stage in any of the cultivars and the major yield determinants (i.e. the primary and secondary branches) therefore differentiated in conditions of internal nitrogen shortage. Spikelet abortion took place both before and after flowering. Reduction of pre-flowering abortion is important in increasing rice grain yields and could be achieved by improved N management. It is important to recognise cultivar differences and periods of loss of potential yield in developing efficient N management protocols.

scholarly journals Identification and classification of bulk paddy, brown, and white rice cultivars with colour features extraction using image analysis and neural network 

2014 ◽  
Vol 32 (No. 3) ◽  
pp. 280-287 ◽  
Author(s):  
I. Golpour ◽  
ParianJA ◽  
R.A. Chayjan
Keyword(s):  
Neural Network ◽  
Feature Selection ◽  
Classification Accuracy ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Rice Cultivars ◽  
Image Processing Algorithm ◽  
White Rice ◽  
Colour Features

We identify five rice cultivars by mean of developing an image processing algorithm. After preprocessing operations, 36 colour features in RGB, HSI, HSV spaces were extracted from the images. These 36 colour features were used as inputs in back propagation neural network. The feature selection operations were performed using STEPDISC analysis method. The mean classification accuracy with 36 features for paddy, brown and white rice cultivars acquired 93.3, 98.8, and 100%, respectively. After the feature selection to classify paddy cultivars, 13 features were selected for this study. The highest mean classification accuracy (96.66%) was achieved with 13 features. With brown and white rice, 20 and 25 features acquired the highest mean classification accuracy (100%, for both of them). The optimised neural networks with two hidden layers and 36-6-5-5, 36-9-6-5, 36-6-6-5 topologies were obtained for the classification of paddy, brown, and white rice cultivars, respectively. These structures of neural network had the highest mean classification accuracy for bulk paddy, brown and white rice identification (98.8, 100, and 100%, respectively).

Effect of sowing time and nitrogen on rice cultivars of differing growth duration in New South Wales 2. Biomass production and partitioning

1994 ◽  
Vol 34 (7) ◽  
pp. 939
Author(s):  
RF Reinke ◽  
LG Lewin ◽  
RL Williams
Keyword(s):  
Low Temperature ◽  
Short Duration ◽  
New South ◽  
New South Wales ◽  
Biomass Accumulation ◽  
Rice Cultivars ◽  
Growth Duration ◽  
Sowing Time ◽  
South Wales ◽  
Long Duration

In New South Wales, rice cultivars with shorter growth duration are sought to reduce water use and to increase the efficiency of rice production. We examined the biomass accumulation of a short-duration cultivar in comparison with 3 long-duration cultivars across a range of sowing time and nitrogen treatments. The biomass accumulation of the short-duration cultivar was smaller than that of the long-duration cultivars, but the yield potential was similar. This was achieved by the production of similar number of florets per m2, despite smaller biomass at flowering, and greater harvest index. Only early-sown treatments resulted in smaller yield of the short-duration cultivar due to restricted biomass accumulation and floret production. A simple biological model of post-anthesis growth, which included the effect of low temperature, predicted growth with an accuracy similar to that of the measurements. The low temperature function assumed growth stopped following a daily minimum temperature below a specified threshold, and the number of days without growth was a function of the severity of the temperature. We concluded that the yield of short-duration cultivars may be less stable when stress occurs during grain filling because there is less biomass at anthesis and, therefore, less reserve available to fill the grain.

Developing a Screening Tool for Osmotic Stress Tolerance Classification of Rice Cultivars Based on In Vitro Seed Germination

Crop Science ◽  
2016 ◽  
Vol 57 (1) ◽  
pp. 387-394 ◽  
Author(s):  
Bhupinder Singh ◽  
K. Raja Reddy ◽  
Edilberto D. Redoña ◽  
Timothy Walker
Keyword(s):  
Seed Germination ◽  
Osmotic Stress ◽  
Stress Tolerance ◽  
Screening Tool ◽  
Rice Cultivars ◽  
Osmotic Stress Tolerance

Classification of rice cultivars based on cluster analysis of hydration and pasting properties of their starches

LWT ◽  
2012 ◽  
Vol 48 (2) ◽  
pp. 164-168 ◽  
Author(s):  
Inae Lee ◽  
Gyoung Jin We ◽  
Dong Eun Kim ◽  
Yong-Sik Cho ◽  
Mi-Ra Yoon ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Pasting Properties ◽  
Rice Cultivars

Effect of seed annealing temperature and growth duration on hydrothermal ZnO nanorod structures and their electrical characteristics

2013 ◽  
Vol 283 ◽  
pp. 629-635 ◽  
Author(s):  
Khairul Anuar Wahid ◽  
Wai Yee Lee ◽  
Hing Wah Lee ◽  
Aun Shin Teh ◽  
Daniel C.S. Bien ◽  
...  
Keyword(s):  
Annealing Temperature ◽  
Zno Nanorod ◽  
Electrical Characteristics ◽  
Growth Duration ◽  
Temperature And Growth

POLYCRYSTALLINE ZnO NANOWIRES OBTAINED BY PYROLIZING ZINC OXALATE-BASED NANOWIRES FROM TEMPLATE-ASSISTED SOLUTIONS

2011 ◽  
Vol 10 (03) ◽  
pp. 471-478 ◽  
Author(s):  
DONG-HAU KUO ◽  
HSIANG CHANG ◽  
JU-YIN CHENG
Keyword(s):  
Aqueous Solution ◽  
Ammonia Concentration ◽  
Zno Nanowires ◽  
Molar Ratio ◽  
Growth Duration ◽  
Simple Route ◽  
One Dimensional ◽  
Zinc Oxalate ◽  
Temperature And Growth ◽  
Low Solubility

Polycrystalline ZnO nanowires composed of nanosized grains were produced by pyrolizing one-dimensional (1D) zinc oxalate-based nanowires at 450°C. The oxalate-based nanowires were synthesized at 25°C–100°C in an aqueous solution with the aid of a hexamethyleneamide (HMA) template and catalytic ammonia. Due to its low solubility in aqueous solution, zinc oxalate was not the popular reactant for the synthesis of ZnO . With a fixed ammonia concentration and a HMA/[ ZnC2O4 ⋅ H2O ] molar ratio of 1, the growth of zinc oxalate-based wires was investigated by changing growth temperature and growth duration. Different growth behaviors were observed and explained based upon the decomposition rate of [Formula: see text] complex and the interaction between zinc oxalate molecules and surfactants. The best growth condition was at 80°C for less than 1 h. After low-temperature calcination at 450°C, zinc oxalate-based nanowires were pyrolized into polycrystalline ZnO nanowires. This synthesis provides a simple route to prepare nanoparticle-covered ZnO nanowires.

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