scholarly journals Survey of rice production practices and perception of weedy red rice (Oryza sativa f. spontanea) in Taiwan – ERRATUM

Weed Science ◽  
2021 ◽  
pp. 1-1
Author(s):  
Yung-Fen Huang ◽  
Dong-Hong Wu ◽  
Chih-Lu Wang ◽  
Pei-Rong Du ◽  
Chih-Yun Cheng ◽  
...  
Weed Science ◽  
2020 ◽  
pp. 1-10
Author(s):  
Yung-Fen Huang ◽  
Dong-Hong Wu ◽  
Chih-Lu Wang ◽  
Pei-Rong Du ◽  
Chih-Yun Cheng ◽  
...  

Abstract Rice (Oryza sativa L.) is the primary staple crop in Taiwan, and it can be grown twice a year. The prevalent subspecies grown in Taiwan is Japonica, and a transplanting system is used for rice production. Although the transplanting system is known for efficient weed control at the seedling stage, weedy red rice (WRR, O. sativa f. spontanea) infestation is progressively being reported. Fieldwork and previous studies have suggested that WRR infestation in Taiwan is probably related to growers’ operating practices and their perception of WRR. However, no data are available for a detailed investigation. The present study aimed to collect data on rice growers’ backgrounds, farming practices, and perceptions of WRR to quantify and characterize the patterns of farming operations for rice growers in Taiwan and to investigate factors contributing to WRR infestation. We collected 408 questionnaires completed by rice growers from 17 counties covering all rice production regions in Taiwan. The growers’ median age was 51 to 60 yr, and 75% of respondents had paddies from 0.25 to 2.75 ha in size, which corresponded with nationwide data for farmers’ backgrounds. In general, growers applied similar farming practices for both cropping seasons. Most respondents did not notice WRR infestation or consider it to be a problem: only 9.8% noticed a moderate to severe infestation of WRR in their fields. The major perceived causes of WRR infestation was seed impurity (55.1%) or cultivar degeneration (18.6%). Correlation analysis and farming patterns estimated with a nonnegative matrix factorization algorithm showed that WRR contamination rate was due to the use of dry or wet tillage. The present study provides the first quantitative and qualitative evidence of rice production practices and growers’ perceptions of WRR infestation in Taiwan.


2009 ◽  
Vol 65 (10) ◽  
pp. 1124-1129 ◽  
Author(s):  
Vinod K Shivrain ◽  
Nilda R Burgos ◽  
David R Gealy ◽  
Marites A Sales ◽  
Kenneth L Smith

2010 ◽  
Vol 29 (7) ◽  
pp. 721-730 ◽  
Author(s):  
Vinod K. Shivrain ◽  
Nilda R. Burgos ◽  
Robert C. Scott ◽  
Edward E. Gbur ◽  
Leopoldo E. Estorninos ◽  
...  

2011 ◽  
Vol 30 (8) ◽  
pp. 986-994 ◽  
Author(s):  
Nilda R. Burgos ◽  
Vinod K. Shivrain ◽  
Robert C. Scott ◽  
Andronikos Mauromoustakos ◽  
Yong-In Kuk ◽  
...  

Weed Research ◽  
2010 ◽  
pp. no-no ◽  
Author(s):  
V K SHIVRAIN ◽  
N R BURGOS ◽  
H A AGRAMA ◽  
A LAWTON-RAUH ◽  
B LU ◽  
...  

Weed Science ◽  
2009 ◽  
Vol 57 (6) ◽  
pp. 627-643 ◽  
Author(s):  
David R. Gealy ◽  
Hesham A. Agrama ◽  
Georgia C. Eizenga

Weedy red rice is a highly troublesome weed of rice in the United States and throughout the world. Effective management of this weed has remained challenging to U.S. farmers, partly because of the biological diversity among red rice populations, resistance to or avoidance of control measures, and genetic similarities with crop rice that allow crossing between the two plant types. The aim of this research was to identify simple sequence repeat (SSR) marker loci that will unambiguously differentiate between U.S. weedy red rice, commercial rice cultivars, and their hybrids, to characterize the genetic diversity and structure of U.S. weedy red rice accessions in relation to Oryza collections from international sources, and to relate genetic and geographic variability within U.S. weedy red rice. Thirty-one SSR markers were used to analyze 180 worldwide Oryza entries and 80 U.S. weedy red rice and U.S. rice cultivars. Twenty-six of the 31 SSR marker loci were highly informative with respect to genetic distinctions between U.S. weedy red rice and U.S. rice cultivars. U.S. red rice are accessions clustered into two main SSR-based collections, awnless strawhull (SA−) and awned blackhull (BA+), according to genetic distance analysis and principal coordinate analysis. Genetic structure analysis clearly identified SA− and BA+ red rice, rice–red rice hybrids, commercial japonica rice cultivars, indica rice, and a number of international and wild Oryza spp. standards (e.g., Oryza nivara, Oryza rufipogon, and Oryza glaberrima) as genetically distinct groups. U.S. SA− red rice exhibited greater spatial structure than did BA+ in that the genetic makeup of SA− accessions changed nearly twice as much with geographic distance as compared to BA+. However, the overall genetic variability within SA− red rice accessions was less than for BA+ accessions, suggesting that the SA− types may be genetically less compatible than BA+ types with other Oryza plants such as rice or other red rice types present in U.S. rice fields. Several of the awned red rice entries exhibited evidence of natural hybridization with different red rice types. Our results suggest that the SA− and BA+ red rice collections have different genetic backgrounds. SA− accessions generally associated most closely with indica-like red- or white-bran Oryza sativa cultivar standards, while BA+ accessions generally associated more closely with O. nivara or O. nivara–like O. sativa entries. Although the U.S. red rice accessions appear not to have descended directly from introductions of the worldwide Oryza standards analyzed, an Oryza red-pericarp entry from Niger (UA 1012; PI 490783) was genetically very similar to some U.S. BA+ accessions.


2011 ◽  
Vol 02 (04) ◽  
pp. 569-577 ◽  
Author(s):  
Marites A. Sales ◽  
Nilda R. Burgos ◽  
Vinod K. Shivrain ◽  
Brad Murphy ◽  
Edward E. Gbur

2021 ◽  
Vol 681 (1) ◽  
pp. 012033
Author(s):  
G R Sadimantara ◽  
E Febrianti ◽  
LO Afa ◽  
S Leomo ◽  
Muhidin ◽  
...  

2016 ◽  
Vol 67 (3) ◽  
pp. 799-819 ◽  
Author(s):  
Rebecca Owusu Coffie ◽  
Michael P. Burton ◽  
Fiona L. Gibson ◽  
Atakelty Hailu

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