Mapping quantitative trait loci and meta-analysis for cold tolerance in rice at booting stage

Euphytica ◽  
2019 ◽  
Vol 215 (5) ◽  
Author(s):  
L. M. Yang ◽  
H. L. Liu ◽  
H. W. Zhao ◽  
J. G. Wang ◽  
J. Sun ◽  
...  
Agronomy ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 1225
Author(s):  
Jong-Min Jeong ◽  
Youngjun Mo ◽  
Ung-Jo Hyun ◽  
Ji-Ung Jeung

Cold stress in rice is a critical factor limiting growth and yield in temperate regions. In this study, we identified quantitative trait loci (QTL) conferring cold tolerance during the booting stage using a recombinant inbred line population derived from a cross between a cold-susceptible Tongil-type cultivar Milyang23 and a cold-tolerant japonica cultivar Giho. A phenotypic evaluation was performed in a cold-water-irrigated field (17 °C) and a temperature-controlled (17 °C/17 °C air and water) greenhouse at the booting stage. Four QTL, including two on chromosome 1 and one each on chromosomes 6 and 9, were identified in the cold-water-irrigated field, with an R2 range of 6.3%–10.6%. Three QTL, one on each of chromosomes 2, 6 and 9, were identified under the temperature-controlled greenhouse condition, with an R2 range of 5.7%–15.1%. Among these, two QTL pairs on chromosomes 6 (qSFF6 and qSFG6) and 9 (qSFF9 and qSFG9) were detected in the cold treatments of both field and greenhouse screenings. Our results provide a reliable dual-screening strategy for rice cold tolerance at the booting stage.


2003 ◽  
Vol 37 (1) ◽  
pp. 1-5 ◽  
Author(s):  
Koji SAITO ◽  
Kiyoyuki MIURA ◽  
Yuriko HAYANO-SAITO ◽  
Akira KATO

Plant Science ◽  
2008 ◽  
Vol 174 (3) ◽  
pp. 340-347 ◽  
Author(s):  
Li-Ming Xu ◽  
Lei Zhou ◽  
Ya-Wen Zeng ◽  
Feng-Mei Wang ◽  
Hong-Liang Zhang ◽  
...  

2011 ◽  
Vol 13 (1) ◽  
pp. 11-18 ◽  
Author(s):  
Makoto Kuroki ◽  
Koji Saito ◽  
Shuichi Matsuba ◽  
Narifumi Yokogami ◽  
Tsuyu Ando ◽  
...  

2018 ◽  
Vol 69 (3) ◽  
pp. 278 ◽  
Author(s):  
Jianguo Lei ◽  
Shan Zhu ◽  
Caihong Shao ◽  
Shusheng Tang ◽  
Renliang Huang ◽  
...  

Low temperature at the booting stage in rice (Oryza sativa L.) can cause male sterility, resulting in yield losses. A set of chromosome segment substitution lines derived from the varieties Sasanishiki (cold-tolerant, ssp. japonica) and Habataki (cold-susceptible, ssp. indica) was used for analysis across two natural, low-temperature environments to study the genetic basis for cold tolerance at the booting stage. Spikelet fertility was used as the evaluation index for cold tolerance identification. Eight quantitative trait loci (QTLs) for cold tolerance were detected, two of which were located on chromosomes 3 (qCTSF3.1 and qCTSF3.2), and the others on chromosomes 4 (qCTSF4), 5 (qCTSF5), 6 (qCTSF6), 7 (qCTSF7), 8 (qCTSF8) and 9 (qCTSF9). The phenotypic variation explained by each QTL ranged from 5.4% to 25.3%. Of the eight QTLs, six (qCTSF3.2, qCTSF5, qCTSF6, qCTSF7, qCTSF8, qCTSF9) were repeatedly detected in two environments. QTLs qCTSF3.1, qCTSF7 and qCTSF9 overlapped with previously reported QTLs. All tolerant alleles for all QTLs were contributed by Sasanishiki.


Rice ◽  
2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Naoki Shimoyama ◽  
Melineeh Johnson ◽  
André Beaumont ◽  
Michael Schläppi

Genetics ◽  
2000 ◽  
Vol 155 (1) ◽  
pp. 463-473
Author(s):  
Bruno Goffinet ◽  
Sophie Gerber

Abstract This article presents a method to combine QTL results from different independent analyses. This method provides a modified Akaike criterion that can be used to decide how many QTL are actually represented by the QTL detected in different experiments. This criterion is computed to choose between models with one, two, three, etc., QTL. Simulations are carried out to investigate the quality of the model obtained with this method in various situations. It appears that the method allows the length of the confidence interval of QTL location to be consistently reduced when there are only very few “actual” QTL locations. An application of the method is given using data from the maize database available online at http://www.agron.missouri.edu/.


Crop Science ◽  
2014 ◽  
Vol 54 (1) ◽  
pp. 127-142 ◽  
Author(s):  
Santiago X. Mideros ◽  
Marilyn L. Warburton ◽  
Tiffany M. Jamann ◽  
Gary L. Windham ◽  
W. Paul Williams ◽  
...  

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