Mapping Quantitative Trait Loci Associated with Leaf Senescence During Maturation of Rice (Oryza sativa L.)

Lin, Dongzhi; Zhang, Junzhi; Zuo, Hailong; Xu, Jianlong; Luo, Lijun; Dong, Yanjun

doi:10.3923/ajps.2010.51.57

Cited by 4 publications

(1 citation statement)

References 17 publications

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“…Recently, SG of the upper leaves was included as a selection criterion for the development of varieties suitable for wider environments under the ‘green super rice’ programme (Khush, 2004; Li & Ali, 2017; Zhang, 2007). During the last 20 years, several quantitative trait loci (QTLs) for SG in rice were reported using various methods (Abdelkhalik et al, 2005; Fu et al, 2011; Jiang et al, 2004; Lim & Paek, 2015; Lin et al, 2010; Singh et al, 2020; Wang et al, 2015; Yoo et al, 2007; Yue et al, 2006). Among these, sgr on the long arm of chromosome 9 (Cha et al, 2002) has been cloned (Jiang et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Quantitative trait loci for stay‐greenness and agronomic traits provide new insights into chlorophyll homeostasis and nitrogen use in rice

et al. 2023

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Functional stay‐green (FSG) is characterized by delayed senescence during the reproductive stage in rice. A recombinant inbred line (RIL) population derived from ‘Pusa 677’/‘PSG16’ was used to study the genetics of FSG in a rice mutant, ‘PSG16’. The RILs exhibited significant variation under two N regimes for agro‐morphological traits, leaf chlorophyll content, flowering time, yield components and nitrogen (N) use. Using a genome wide linkage map spanning 1910.8 cM with 104 polymorphic markers, we have mapped six major quantitative trait loci (QTLs). One robust QTL on chromosome 1 was associated consistently across different N regimes with chlorophyll content and flowering time. The QTL on chromosome 7 was associated with grain number, whereas the QTL on chromosome 6 was found related to N harvest index and spikelet fertility. Although ‘PSG16’ showed a clear advantage in grain yield as well as having better N assimilation, we could not establish a direct genetic relationship SG trait and N use. Based on the QTL information, FSG trait of ‘PSG16’ could be useful in deciphering multiple stress responses in rice.

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Section: Introductionmentioning

confidence: 99%

Quantitative trait loci for stay‐greenness and agronomic traits provide new insights into chlorophyll homeostasis and nitrogen use in rice

et al. 2023

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Genetic and molecular bases of yield-associated traits: a translational biology approach between rice and wheat

Valluru

Reynolds

Salse³

2014

Theor Appl Genet

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Transferring the knowledge bases between related species may assist in enlarging the yield potential of crop plants. Being cereals, rice and wheat share a high level of gene conservation; however, they differ at metabolic levels as a part of the environmental adaptation resulting in different yield capacities. This review focuses on the current understanding of genetic and molecular regulation of yield-associated traits in both crop species, highlights the similarities and differences and presents the putative knowledge gaps. We focus on the traits associated with phenology, photosynthesis, and assimilate partitioning and lodging resistance; the most important drivers of yield potential. Currently, there are large knowledge gaps in the genetic and molecular control of such major biological processes that can be filled in a translational biology approach in transferring genomics and genetics informations between rice and wheat.

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Genetic Dissection for Chlorophyll Content of the Top Three Leaves During Grain Filling in Rice (Oryza sativa L.)

Huang

Dai

Wang

et al. 2015

J Plant Growth Regul

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Leaf senescence and the consequent decline in chlorophyll (Chl) content is a normal event in the life cycle of plants. Although many studies on Chl content or leaf senescence in rice have been conducted, the understanding of this process is limited. By using a double haploid population derived from a cross between japonica Chunjiang06 (CJ06) and indica Taichong native (TN1), quantitative trait locus (QTL) analysis for Chl content of the top three leaves during the rice grain filling stage was performed in this study. A total of 61 QTLs for the Chl content at four development stages were identified. The QTLs had additive effects of 0.64-3.31 SPAD value with heritability ranging from 2.9 to 26.9 %. Twenty-seven pairs of epistatic interaction for Chl content were estimated and distributed on all 12 chromosomes. The detected QTLs and epistatic interactions were clustered in 15 intervals and expressed with spatial-temporal specificity. The QTLs for leaf senescence and their interactions were further estimated, indicating that the alleles delaying leaf senescence from japonica variety CJ06 exhibited more contribution than those from indica variety TN1. This study revealed that the QTLs for Chl content showed clear spatial-temporal specificity. QTL analysis also showed that more alleles that increased Chl content were contributed from japonica variety CJ06. Thus, the results in this study may help in the selection of the rice variety with delayed leaf Electronic supplementary material The online version of this article (senescence, and will improve understanding of the molecular basis of leaf senescence.

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Mapping Quantitative Trait Loci Associated with Leaf Senescence During Maturation of Rice (Oryza sativa L.)

Cited by 4 publications

References 17 publications

Quantitative trait loci for stay‐greenness and agronomic traits provide new insights into chlorophyll homeostasis and nitrogen use in rice

Quantitative trait loci for stay‐greenness and agronomic traits provide new insights into chlorophyll homeostasis and nitrogen use in rice

Genetic and molecular bases of yield-associated traits: a translational biology approach between rice and wheat

Genetic Dissection for Chlorophyll Content of the Top Three Leaves During Grain Filling in Rice (Oryza sativa L.)

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