scholarly journals Detection of Quantitative Trait Loci for White-back and Basal-white Kernels under High Temperature Stress in japonica Rice Varieties

2007 ◽  
Vol 57 (2) ◽  
pp. 107-116 ◽  
Author(s):  
Asako Kobayashi ◽  
Bao Genliang ◽  
Ye Shenghai ◽  
Katsura Tomita
Keyword(s):  
High Temperature ◽  
Quantitative Trait Loci ◽  
Temperature Stress ◽  
Quantitative Trait ◽  
High Temperature Stress ◽  
Japonica Rice ◽  
Rice Varieties ◽  
Trait Loci

scholarly journals Exogenous spermidine enhances the photosynthetic and antioxidant capacity of rice under heat stress during early grain-filling period

2018 ◽  
Vol 45 (9) ◽  
pp. 911 ◽  
Author(s):  
She Tang ◽  
Haixiang Zhang ◽  
Ling Li ◽  
Xia Liu ◽  
Lin Chen ◽  
...  
Keyword(s):  
High Temperature ◽  
Antioxidant Capacity ◽  
Temperature Stress ◽  
Soluble Sugars ◽  
High Temperature Stress ◽  
Temperature Treatment ◽  
High Temperature Treatment ◽  
Japonica Rice ◽  
Rice Varieties ◽  
Fluorescence Maximum

High temperature has adverse effects on rice growth by inhibiting the flag leaf photosynthetic and antioxidant capacity, which can be alleviated by various exogenous chemicals such as spermidine (Spd). However, the role of Spd in conferring heat tolerance in rice is not well documented. Conventional japonica rice varieties Wuyunjing 24 and Ningjing 3 were treated with high temperatures at 37.5/27.0°C (day/night) and foliar sprayed with 1 mmol L−1 Spd after flowering. Results showed activities of superoxide dismutase (SOD) and peroxidase (POD) activities were deceased during high temperature treatment and eventually lead to the malondialdehyde (MDA) accumulation. Exogenous Spd significantly increased both SOD and POD activities at the later stage of high-temperature treatment, and reduced MDA accumulation were identified in both rice varieties. Application of Spd further increased the amount of soluble sugars during high temperature stress and that maintained the osmotic equilibrium of rice leaves. Spd significantly increased photosystem II (ΦPSII), photosynthetic electron transport rate (ETR), variable fluorescence/maximum fluorescence ratio (Fvʹ/Fmʹ), stomatal conductance and the photochemical reaction of light energy ratio (Pr), and ultimately improved the photosynthetic and transpiration rate during high temperature stress. In conclusion, exogenous Spd can effectively alleviate the adverse consequences of high temperature and could be further applied to provide strategies in mitigating the challenges of global warming-induced yield loss and other possible relevant issues.

scholarly journals Natural variations of SLG1 confer high-temperature tolerance in indica rice

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Yufang Xu ◽  
Li Zhang ◽  
Shujun Ou ◽  
Ruci Wang ◽  
Yueming Wang ◽  
...  
Keyword(s):  
High Temperature ◽  
Temperature Stress ◽  
Indica Rice ◽  
High Temperature Stress ◽  
Temperature Tolerance ◽  
Cultivated Rice ◽  
Rice Varieties ◽  
Coding Regions ◽  
High Temperature Tolerance ◽  
Living Organisms

Abstract With global warming and climate change, breeding crop plants tolerant to high-temperature stress is of immense significance. tRNA 2-thiolation is a highly conserved form of tRNA modification among living organisms. Here, we report the identification of SLG1 (Slender Guy 1), which encodes the cytosolic tRNA 2-thiolation protein 2 (RCTU2) in rice. SLG1 plays a key role in the response of rice plants to high-temperature stress at both seedling and reproductive stages. Dysfunction of SLG1 results in plants with thermosensitive phenotype, while overexpression of SLG1 enhances the tolerance of plants to high temperature. SLG1 is differentiated between the two Asian cultivated rice subspecies, indica and japonica, and the variations at both promoter and coding regions lead to an increased level of thiolated tRNA and enhanced thermotolerance of indica rice varieties. Our results demonstrate that the allelic differentiation of SLG1 confers indica rice to high-temperature tolerance, and tRNA thiolation pathway might be a potential target in the next generation rice breeding for the warming globe.

Detection of Quantitative Trait Loci for Stickiness and Appearance Based on Eating Quality Test in japonica Rice Cultivar

2006 ◽  
Vol 8 (2) ◽  
pp. 39-47 ◽  
Author(s):  
Isao Tanaka ◽  
Asako Kobayashi ◽  
Katsura Tomita ◽  
Yoshinobu Takeuchi ◽  
Masumi Yamagishi ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Rice Cultivar ◽  
Eating Quality ◽  
Japonica Rice ◽  
Quality Test ◽  
Trait Loci

Identification of Quantitative Trait Loci for Alkaline Tolerance at Early Seedling Stage of Japonica Rice Under Alkaline Stress

2009 ◽  
Vol 35 (2) ◽  
pp. 301-308
Author(s):  
Dong-Ling QI ◽  
Gui-Zhen GUO ◽  
Myung-Chul LEE ◽  
Chun-Gang YANG ◽  
Jun-Guo ZHANG ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Seedling Stage ◽  
Alkaline Stress ◽  
Japonica Rice ◽  
Alkaline Tolerance ◽  
Trait Loci ◽  
Early Seedling

scholarly journals Genetic Mapping Identifies Consistent Quantitative Trait Loci for Yield Traits of Rice under Greenhouse Drought Conditions

Genes ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 62
Author(s):  
Niranjan Baisakh ◽  
Jonalyn Yabes ◽  
Andres Gutierrez ◽  
Venkata Mangu ◽  
Peiyong Ma ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Grain Yield ◽  
Drought Resistance ◽  
Quantitative Trait ◽  
Chromosome 1 ◽  
Phenotypic Variance ◽  
Yield Traits ◽  
Rice Varieties ◽  
Drought Tolerant ◽  
Trait Loci

Improving drought resistance in crops is imperative under the prevailing erratic rainfall patterns. Drought affects the growth and yield of most modern rice varieties. Recent breeding efforts aim to incorporate drought resistance traits in rice varieties that can be suitable under alternative irrigation schemes, such as in a (semi)aerobic system, as row (furrow-irrigated) rice. The identification of quantitative trait loci (QTLs) controlling grain yield, the most important trait with high selection efficiency, can lead to the identification of markers to facilitate marker-assisted breeding of drought-resistant rice. Here, we report grain yield QTLs under greenhouse drought using an F2:3 population derived from Cocodrie (drought sensitive) × Nagina 22 (N22) (drought tolerant). Eight QTLs were identified for yield traits under drought. Grain yield QTL under drought on chromosome 1 (phenotypic variance explained (PVE) = 11.15%) co-localized with the only QTL for panicle number (PVE = 37.7%). The drought-tolerant parent N22 contributed the favorable alleles for all QTLs except qGN3.2 and qGN5.1 for grain number per panicle. Stress-responsive transcription factors, such as ethylene response factor, WD40 domain protein, zinc finger protein, and genes involved in lipid/sugar metabolism were linked to the QTLs, suggesting their possible role in drought tolerance mechanism of N22 in the background of Cocodrie, contributing to higher yield under drought.

scholarly journals Substitution mapping of the major quantitative trait loci controlling stigma exsertion rate from Oryza glumaepatula

2020 ◽  
Author(s):  
Quanya Tan ◽  
Tuo Zou ◽  
Mingmin Zheng ◽  
Yuerong Ni ◽  
Xin Luan ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Chromosome 1 ◽  
Rice Seed ◽  
Cultivated Rice ◽  
Rice Varieties ◽  
Substitution Mapping ◽  
Trait Loci ◽  
Stigma Exsertion ◽  
Stigma Exsertion Rate

Abstract Background: Stigma exsertion rate (SER) is a key determinant for outcrossing ability of male sterility lines (MSLs) in hybrid rice seed production. Outcrossing ability in cultivated rice varieties has diminished during the process of domestication, while wild Oryza species keep strong outcrossing ability. Here, we detected the quantitative trait loci (QTLs) controlling SER using a set of single-segment substitution lines (SSSLs) derived from O. glumaepatula, a wild Oryza species.Results: Seven QTLs for SER, qSER-1a, qSER-1b, qSER-3a, qSER-3b, qSER-5, qSER-9 and qSER-10, were located on 5 chromosomes. qSER-1a and qSER-1b were located on chromosome 1. qSER-3a and qSER-3b were mapped on chromosome 3, and qSER-3b was further located at an interval of 931.0kb by secondary substitution mapping. qSER-5, qSER-9 and qSER-10 were identified on chromosomes 5, 9 and 10, respectively, and qSER-9 was delimited to a region of 608.2kb by secondary substitution mapping. The additive effects of the 7 QTLs ranged from 10.6% to 14.8%, and the additive contribution variances explained by each of the QTLs were from 36.3% to 50.6%, which were higher than those of most loci for SER reported previously.Conclusions: qSER-1a and qSER-1b were novel loci for SER on chromosome 1. All of the 7 QTLs had major effects on SER. The major QTLs of SER will help to develop MSLs with strong outcrossing ability.

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