scholarly journals Rice Plant Height Monitoring from Space with Bistatic Interferometry

10.5772/65868 ◽  
2017 ◽  
Author(s):  
Cristian Rossi
Keyword(s):  
Plant Height ◽  
Rice Plant

scholarly journals Method for estimating rice plant height without ground surface detection using laser scanner measurement

2016 ◽  
Vol 10 (4) ◽  
pp. 046018 ◽  
Author(s):  
Anh Thu Thi Phan ◽  
Kazuyoshi Takahashi ◽  
Atsushi Rikimaru ◽  
Yasuhiro Higuchi
Keyword(s):  
Plant Height ◽  
Rice Plant ◽  
Laser Scanner ◽  
Ground Surface ◽  
Surface Detection

scholarly journals Dissection of genetic architecture of rice plant height and heading date by multiple-strategy-based association studies

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Liyuan Zhou ◽  
Shouye Liu ◽  
Weixun Wu ◽  
Daibo Chen ◽  
Xiaodeng Zhan ◽  
...  
Keyword(s):  
Plant Height ◽  
Rice Plant ◽  
Genetic Architecture ◽  
Association Studies ◽  
Heading Date ◽  
Multiple Strategy

scholarly journals Studies on mosquitoes (Diptera: Culicidae) and anthropicenvironment: 5- Breeding of Anopheles albitarsis in flooded rice fields in South-Eastern Brazil

1994 ◽  
Vol 28 (5) ◽  
pp. 329-331 ◽  
Author(s):  
Oswaldo Paulo Forattini ◽  
Iná Kakitani ◽  
Eduardo Massad ◽  
Daniel Marucci
Keyword(s):  
Plant Height ◽  
Rice Plant ◽  
Early Stage ◽  
Inverse Correlation ◽  
Rice Fields ◽  
Control Measures ◽  
Paddy Fields ◽  
Flooded Rice ◽  
South Eastern ◽  
Eastern Brazil

Studies on breeding Anopheles albitarsis and association with rice growth in irrigated paddy fields were carried out during the rice cultivation cycle from December 1993 to March 1994. This period corresponded to the length of time of permanent paddy flooding. Breeding occurred in the early stage up until five weeks after transplantation when rice plant height was small. That inverse correlation may give potential direction to control measures.

Response of BAR-Transformed Rice (Oryza sativa) and Red Rice (Oryza sativa) to Glufosinate Application Timing

1997 ◽  
Vol 11 (2) ◽  
pp. 303-307 ◽  
Author(s):  
Sujatha Sankula ◽  
Michael P. Braverman ◽  
Steven D. Linscombe
Keyword(s):  
Oryza Sativa ◽  
Grain Yield ◽  
Plant Height ◽  
Rice Plant ◽  
Yield Reduction ◽  
Bar Gene ◽  
Red Rice ◽  
Visible Injury ◽  
Application Timing ◽  
Boot Stage

Glufosinate at 2.2 kg ai/ha injured rice transformed with the BAR gene more when applied to one- to two-leaf (23 to 26%) than to three- to four-leaf (13 to 19%) plants. Visible injury was least when applications were made at boot stage (3 to 14%). However, applications at boot stage caused an average grain yield reduction of 16%. Most treatments did not influence rice plant height. Among single applications (0.3, 0.4, 0.6, 0.8, and 1.1 kg/ha), 1.1 kg/ha glufosinate at three- to four-leaf stage of red rice resulted in greater control (91%) than at panicle initiation (74%) or at boot stage (77%). Injury to red rice was two to 11 times greater than the injury to BAR-transformed rice depending on glufosinate rate and application timing.

scholarly journals Estimation of Rice Plant Height from a Low-Cost UAV- Based Lidar Point Clouds

2021 ◽  
pp. 89-98
Author(s):  
A.T.T. Phan ◽  
K. Takahashi
Keyword(s):  
Plant Height ◽  
Rice Plant ◽  
Field Experiments ◽  
Low Cost ◽  
Laser Scanner ◽  
Ground Surface ◽  
Point Clouds ◽  
Small Root ◽  
Small Uav ◽  
The Difference

UAV systems are considered effective tools to collect information regarding crops. In this study, the rice growth was observed by a small UAV-based LiDAR system from above. For developing the system, DJI S800 was chosen as a platform on which a non- survey-grade laser scanner HOKUYO UTM30LX-EW was mounted. Field experiments were carried out from late June to late early August 2017 in Nagaoka city, Niigata Prefecture, Japan. Percentile analysis is applied to locate the top and bottom positions of rice plants in three targeted areas. LIDAR-derived plant height is computed by taking the difference between the bottom and the rice plant's top. As a result, the LiDAR-derived canopy height well correlates to rice plant height (R2≥0.86; RMSE <6.0 cm). The small root means square error (RMSE =4.9 cm) is achieved with area 3. In the general case, the RMSE is 5.5 cm (R2=0.88). These results illustrate the capability of estimate plant height before the heading stage from UAV- based LiDAR point clouds without ground surface detection.

scholarly journals Pengaruh Intensitas Cahaya terhadap Pertumbuhan dan Hasil Beberapa Varietas Padi

2020 ◽  
Vol 4 (1) ◽  
pp. 210-218
Author(s):  
Dian Utami ◽  
Agus Halim ◽  
Cut Nur Ichsan
Keyword(s):  
Climate Change ◽  
Light Intensity ◽  
Plant Height ◽  
Rice Plant ◽  
Block Design ◽  
Grain Weight ◽  
Growth And Yield ◽  
Food Plants ◽  
Yield Potential ◽  
Rice Varieties

Abstrak. Tanaman padi merupakan salah satu komoditas pangan di dunia yang terkena dampak perubahan iklim global. Perubahan iklim menyebabkan perubahan pada pola musim, sehingga petani sulit untuk memprediksikan waktu tanam. Hal ini akan menimbulkan pengaruh negatif terhadap produktivitas tanaman pangan, terutama pada tanaman padi. Penelitian ini bertujuan untuk mengetahui pertumbuhan dan produktivitas hasil beberapa varietas padi pada intensitas cahaya yang berbeda.Penelitian ini menggunakan Rancangan Petak Terpisah (RPT) pola RAK 2x3 dengan 3 ulangan sehingga terdapat 6 kombinasi perlakuan. Hasil penelitian menunjukkan bahwa perlakuan intensitas cahaya berpengaruh sangat nyata terhadap jumlah malai. Perlakuan intensitas cahaya juga berpengaruh nyata terhadap tinggi tanaman umur 8 dan 9 MST, jumlah anakan umur 4, 5, 6, 7, 8, dan 9 MST, berat gabah per rumpun dan potensi hasil per hektar. Sedangkan perlakuan varietas menunjukkan pengaruh yang sangat nyata terhadap tinggi tanaman umur 4, 5, 7, dan 8 MST, umur berbunga, umur panen, panjang malai, berat 1000 butir, berat gabah per rumpun, dan potensi hasil per hektar. Perlakuan varietas juga berpengaruh nyata terhadap tinggi tanaman umur 6 dan 9 MST, jumlah anakan umur 4, 5, 6, 7, 8, dan 9 MST, serta jumlah malai.Hasil penelitian menunjukkan pertumbuhan dan hasil tanaman padi terbaik terdapat pada perlakuan intensitas cahaya tinggi (4179 foot-candles) dengan varietas terbaik adalah Sanbei.Effect of light intensity on growth and yield of some varieties of rice plantAbstract. Rice plant is one of the world's food commodities affected by global climate change. Climate change causes changes in season patterns, so farmers are difficult to predict planting time. It will have a negative effect on the productivity of food plants, especially in rice plant. This study aimed to know the growth and productivity of several rice varieties at different light intensity.This research using Split Plot Design (RPT) with randomized block design factorial patterns 2x3 with 3 replications so that there are 6 combination of treatment. The results showed that the light intensity had a very significant effect on number of panicles. Light intensity treatment also had significant effect on plant height aged 8 and 9 weeks after planting (WAP), number of tillers aged 4, 5, 6, 7, 8, and 9 WAP, grain weight per hill and yield potential per hectare. The varieties treatment showed very significant effect on plant height 4, 5, 7, and 8 WAP, flowering age, harvest age, panicle length, 1000 grain weight, grain weight per clump, and yield potential per hectare. Varietal treatment also had significant effect on plant height aged 6 and 9 WAP, number of tillers aged 4, 5, 6, 7, 8, and 9 WAP, and number of panicles.The results showed the best growth and yield of rice plant found in high intensity light treatment (4179 foot-candles) with the best varieties is Sanbei.

scholarly journals Vegetative growth response of upland rice to Actinomycetes, Azospirillum and Azotobacter

2021 ◽  
Vol 911 (1) ◽  
pp. 012060
Author(s):  
Agung Gunawan ◽  
Yusminah Hala ◽  
Alimuddin Ali ◽  
Oslan Jumadi ◽  
Muhammad Junda
Keyword(s):  
Plant Height ◽  
Vegetative Growth ◽  
Rice Plant ◽  
Upland Rice ◽  
Dry Weight ◽  
Nitrogen Fixing ◽  
Nitrogen Fixing Bacteria ◽  
Total N ◽  
Rice Plants ◽  
Wet Weight

Abstract The research aims is to determine the suitability of nitrogen fixing bacteria, namely Actinomycetes, Azospirillum and Azotobacter with upland rice seeds to the speed of radicle formation and growth of upland rice plants. Upland rice plant growth measurement parameters include; speed of formation of radicle length, upland rice plant height, number of upland rice tillers, dry weight of the top of upland rice plants and roots of upland rice plants, wet weight of upland rice plants and roots of upland rice plants, and total N of upland rice plants and upland roots Testing the application of N2 fixing bacteria on upland rice plants on a laboratory scale was carried out to determine the suitability of microbes with upland rice plant seeds in vitro. The pot test was carried out to determine the suitability of the N2 fixing bacteria with the vegetative growth of upland rice plants in vivo. Data were analyzed using ANOVA with Duncan’s advanced test. The results showed that upland rice plants inoculated with Actinomycetes, Azospirillum and Azotobacter showed significantly different growth from upland rice plants without nitrogen fixing bacteria treatment, namely the radicle formation speed and radicle length, plant height, number of tillers, wet weight, dry weight, and total N (%) plants. It can be concluded that the inoculation of nitrogen-fixing bacteria on upland rice plants has a significant effect on plant vegetative growth parameters and plant nitrogen content.

scholarly journals Development of High Yielding Deep Water Rice Variety BRRI dhan91 for Semi Deep Flooded Ecosystem of Bangladesh

2020 ◽  
Vol 23 (1) ◽  
pp. 57-63
Author(s):  
A K M Shalahuddin ◽  
A S M Masuduzzaman ◽  
M M Emam Ahmed ◽  
T L Aditya ◽  
M S Kabir
Keyword(s):  
Plant Height ◽  
Water Depth ◽  
Deep Water ◽  
Rice Plant ◽  
Rice Variety ◽  
Submergence Tolerance ◽  
Breeding Line ◽  
Water Ecosystem ◽  
Rice Ecosystem ◽  
And Control

Deep water rice ecosystem represents the flood-prone rice ecosystem where rice plant requires elongation ability to reach the surface with a certain amount of plant height to withstand in stagnant flood water condition. Low yield potentiality of locally adapted deep water cultivars limits the total rice production in the country. In present study, efforts were made to evaluate the suitability and adaptability of newly developed high yielding deep water breeding line BR10230-15-27-7B and control variety Fulkori under semi deep water ecosystem of farmer’s field condition in three consecutive years. At six locations, water depth varied from 60 to 140 cm under semi deep water ecosystem. In 2016 and 2017, mean yield of the line ranged between 2.9 to 3.1 t ha-1 while 1.7 t ha-1 for the local control variety Fulkori. However, around 1.0 t/ha yield advantage was found for the newly developed breeding line. Thus, the higher yield potentiality of the breeding line under 140 cm water depth conditions suggested its suitability under shallow flooded environments. During final evaluation in 2018, larger variation was observed in terms of grain yield ranging from 1.1 to 3.8 t ha-1 for the line while 0.4 to 1.7 t ha-1 for the control variety when evaluated under actual deep water areas. This result also supported that this line have greater potentiality under shallow flooded condition. In addition, the breeding line exhibited similar plant height with at least six days earliness compared to the control variety. Finally, National Seed Board (NSB) approved this line as variety and designated as BRRI dhan91 for broadcast Aman (B. Aman) season. In future, this new rice variety could help the local rice growers to cultivate modern high yielding rice variety in shallow flooded environments. BRRI dhan91 also showed better performance for tallness with lodging tolerance, submergence tolerance and moderate elongation ability under shallow flooded conditions. Bangladesh Rice j. 2019, 23(1): 57-63

Mapping and Comparative Analysis of QTL for Rice Plant Height Based on Different Sample Sizes within a Single Line in RIL Population

Rice Science ◽  
2011 ◽  
Vol 18 (4) ◽  
pp. 265-272 ◽  
Author(s):  
Yong-shu LIANG ◽  
Zhi-qiang GAO ◽  
Xi-hong SHEN ◽  
Xiao-deng ZHAN ◽  
Ying-xin ZHANG ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Plant Height ◽  
Rice Plant ◽  
Single Line ◽  
Sample Sizes ◽  
Ril Population
Sign in / Sign up

Export Citation Format

Share Document