scholarly journals Identification of Quantitative Trait Loci for Spikelet Fertility at the Booting Stage in Rice (Oryza sativa L.) under Different Low-Temperature Conditions

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.

Euphytica ◽  
2019 ◽  
Vol 215 (5) ◽  
Author(s):  
L. M. Yang ◽  
H. L. Liu ◽  
H. W. Zhao ◽  
J. G. Wang ◽  
J. Sun ◽  
...  

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

Euphytica ◽  
2011 ◽  
Vol 181 (3) ◽  
pp. 405-413 ◽  
Author(s):  
Zhoufei Wang ◽  
Fuhua Wang ◽  
Rong Zhou ◽  
Jianfei Wang ◽  
Hongsheng Zhang

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 ◽  
...  

2013 ◽  
Vol 1 (1) ◽  
pp. 70-76 ◽  
Author(s):  
Liang Guo ◽  
Kai Wang ◽  
Junyu Chen ◽  
Derun Huang ◽  
Yeyang Fan ◽  
...  

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.


Genetics ◽  
1999 ◽  
Vol 152 (2) ◽  
pp. 699-711 ◽  
Author(s):  
D E Moody ◽  
D Pomp ◽  
M K Nielsen ◽  
L D Van Vleck

Abstract Energy balance is a complex trait with relevance to the study of human obesity and maintenance energy requirements of livestock. The objective of this study was to identify, using unique mouse models, quantitative trait loci (QTL) influencing traits that contribute to variation in energy balance. Two F2 resource populations were created from lines of mice differing in heat loss measured by direct calorimetry as an indicator of energy expenditure. The HB F2 resource population originated from a cross between a noninbred line selected for high heat loss and an inbred line with low heat loss. Evidence for significant QTL influencing heat loss was found on chromosomes 1, 2, 3, and 7. Significant QTL influencing body weight and percentage gonadal fat, brown fat, liver, and heart were also identified. The LH F2 resource population originated from noninbred lines of mice that had undergone divergent selection for heat loss. Chromosomes 1 and 3 were evaluated. The QTL for heat loss identified on chromosome 1 in the HB population was confirmed in the LH population, although the effect was smaller. The presence of a QTL influencing 6-wk weight was also confirmed. Suggestive evidence for additional QTL influencing heat loss, percentage subcutaneous fat, and percentage heart was found for chromosome 1.


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

2003 ◽  
Vol 53 (3) ◽  
pp. 255-262 ◽  
Author(s):  
Sohei Kobayashi ◽  
Yoshimichi Fukuta ◽  
Satoshi Morita ◽  
Tadashi Sato ◽  
Mitsuru Osaki ◽  
...  

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