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2007年11月02日

【期刊论文】Identification and Genetic Analysis of a Thermo-sensitive Seedling-colour Mutant in Rice (Oryza sativa L.)

董彦君, Yanjun Dong, Wenqi Dong, Shouyun Shi and Qingsheng Jin

Breeding Science 51: 1-4 (2001),-0001,():

-1年11月30日

摘要

A thermo-sensitve seedling-colour mutant 7436S was detected in the field from a breeding nursery in China, in 1991. The experiments were conducted at artificially controlled temperatures (23.1℃,26.1℃,30.1℃) in growth chambers. The results showed that the seedling colour of the mutant 7436S was white (23.1℃), light yellow (26.1℃) and normal green (30.1℃) at 10 days after sowing and yellwish green (23.1℃) and normal green (26.1℃,30.1℃) at 20 days after sowing, respectively. It was concluded that its thermo-sensitivity decreased gradually with the increase of the seedling age. In addition, its thermo-sensitivity for seedling colour was oriented, as white seedlings turned green at high temperatures, but not in the opposite direction. The segregation ratios in the F2 populations showed that a recessive nuclear gene (tentatively designated as tsc-1) controlled the thermo-sensitive seedling-colour character. Based on genetic linkage and the recombination value (34.1%) between the tsc-1 gene and short panicle morphological marker(sp) gene in the F2 generation, the results indicated that the tsc-1 gene was located on chromosome 11.

thermo-sensitive, seedling colour, marker gene, rice

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2007年11月02日

【期刊论文】Identification of quantitative trait loci associated with pre-harvest sprouting resistance in rice (Oryza sativa L.)

董彦君, Yanjun Dong, E.Tsuzuki, Kamiunten, H.Terao, Dongzhi Lin, M.Matsuo, Yunfei Zheng

Field Crops Research 81 (2003) 133-139,-0001,():

-1年11月30日

摘要

One of the most important agronomic problems in rice production (Oryza sativa L.) in high humidity climates is pre-harvest sprouting (PHS). This study was conducted to identify quantitative trait loci(QITs) for PHS resistance using a recombinant inbred (RI) population derived from a cross between a japonica variety Asominori (relatively susceptible to PHS) and an indica variety IR24 (highly resistant to PHS). Knowledge of the genomic positions of QTLs for PHS resistance in rice could greatly simplify selection of the trait.A total of six QTLs for PHS resistance in rice were detected with 289 restriction fragment length polymorphism (RFLP) markers by both one marker analysis (P<0.005) and composite interval mapping (CIM)(LOD>2.0).The two QTLs,located on chromosome 1, accounted for 10.7-20.o% of total phenotypic variations, and the other four QTLs, located on chromosome 4,5,7 and 8,respectively, explained 12.3-25.3% of total phenotypic variation. As a result, four alleles from IR24 on chromosomes 1 (two QTLs),5,7and two alleles from Asominori on chromosomes 4,8 contributed to PHS resistance in rice,respectively.The RFLP markers tightly linked to PHS resistance in rice may be useful for breeding varieties with greater resistance to PHS and adaptable to high humidity climates during the maturation period through the ues of markerassisted selection.

Quantiative trait loci (, QTLs), , Pre-harvest sprouting(, PHS), resistance, Dormancy, Rice(, Oryza sativa L., ),

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2007年11月02日

【期刊论文】Molecular genetic mapping of quantitative trait loci for milling quality in rice (Oryza sativa L.)

董彦君, Yanjun Dong, E. Tsuzuki, Dongzhi Lin, H. Kamiunten, H. Terao, M. Matsuo, Shihua Cheng

Journal of Cereal Science 40 (2004) 109-114,-0001,():

-1年11月30日

摘要

Identification and mapping of genomic regions controlling quantitative trait loci (QTLs) was undertaken to determine the genomic regions associated with milling traits in rice to facilitate breeding of new rice varieties with high milling quality. The recombinant inbred (RI) population used was derived from cross of a japonica variety, ‘Asominori’, with an indica variety, ‘IR24’ through 289 RFLP markers. Three milling traits, namely, brown rice percentage (BRP), milled rice percentage (MRP), and milled head rice percentage (MHP), which are the main indicators of milling quality in rice, were estimated for each RI line and their parental varieties. Continuous distributions and transgressive segregations of three milling traits were observed in the RI population, showing that the three traits were quantitatively inherited. Two QTLs (q BRP-9 and q BRP-10) for BRP were identified and mapped to chromosomes 9 and 10, and explained 7.2 and 21.3% of the total phenotype variation, respectively. Two QTLs (qMRP-11 and qMRP-12) governing MRP were detected and mapped to chromosomes 11 and 12, accounted for 12.2 and 7.7% of total phenotype variation, respectively. In addition, three QTLs (qMHP-1, qMHP-3 and qMHP-5) controlling MHP were observed and mapped to chromosomes 1, 3 and 5, and explained 16.0, 22.1 and 8.7% of the total phenotype variation, respectively. Among them, five QTLs (q BRP-9, q BRP-10, qMRP-11, qMHP-3 and qMHP-5) from japonica parent, Asominori, and two QTLs (qMRP-12, qMHP-1) from indica IR24 can improve milling quality in rice. The results and the tightly linked molecular markers that flank the QTL will be useful in breeding for improvement of milling quality in rice.

BRP,, brown rice percentage, cM,, centiMorgan, CIM,, composite interval mapping, MHP,, milled head-rice percentage, MRP,, milled rice percentage, QTL,, quantitative trait locus, RFLP,, restriction fragment length polymorphism, RI,, recombination inbred

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2007年11月02日

【期刊论文】Mapping of quantitative trait loci for gibberellic acid response at rice (Oryza sativa L.) seedling stage

董彦君, Yanjun Dong, , H. Kamiuten, Zhongnan Yang, Dongzhi Lin , T. Ogawa, Lijun Luo, H. Matsuo

Plant Science 170 (2006) 12-17,-0001,():

-1年11月30日

摘要

sponse in the rice seedling stage in a recombinant inbred (RI) population derived from a cross of a japonica variety, Asominori (lower GA3 response), with an indica variety, IR24 (higher GA3 response), using 289 RFLP markers. Continuous phenotypic variation of GA3 response index and transgressive segregation in both parental directions were observed, suggesting that GA3 response in regard to seedling plant height was a quantitatively inherited trait in the RI population. Five QTLs controlling GA3 response were identified and mapped to chromosomes 1, 3, 4, 6 and 12, respectively. Among them, the largest effect QTL (qGAR-1), located between G2200 and C86 on chromosome 1, explained 28.2–34.1% of the total phenotypic variation. The second largest effect QTL (qGAR-12) was detected near C751 on chromosome 12 and accounted for 13.2–16.5% of total variation. The remaining three QTLs on chromosome 3, 4 and 6, explained 5.1–6.4% of total phenotypic variation, respectively. In addition, alleles with increasing and decreasing GA3 response effects were detected from both parents. The molecular markers tightly linked to GA3 response QTLs lead to the isolation of loci and will help us to better understand GA3 response mechanisms in rice.

Gibberellic acid (, GA3), response, Quantitative trait loci (, QTLs), , Rice

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2007年11月02日

【期刊论文】 Quantitative trait loci for leaf chlorophyll content at two developmental stages of rice (Oryza sativa L.)

董彦君, Yanjun Dong, Zhongnan Yang, Jianlong Xu, Dongzhi Lin, Yasuhiro Sugimoto, Lijun Luo, Hanwei Mei

Communications in Biometry and Crop Science Vol. 2, No. 1, 2007, pp. 1-7,-0001,():

-1年11月30日

摘要

Knowledge of the genetics of leaf chlorophyll content (LCC) at tillering and heading stages should help develop rice varieties with high photosynthetic ability. In this study, 182 backcross-recombinant inbred lines (BIL), derived from Koshihikari (japonica)/Kasalath (indica)//Koshihikari, were used to identify quantitative trait loci (QTL) for LCC at the tillering and heading stages of rice. Continuous variation and transgressive segregation for LCC were observed in the BIL population, indicating that LCC was a quantitatively inherited trait. Seven QTL for LCC were identified and mapped to chromosomes 1 (two QTL), 2, 3, 4, 6, and 8, which individually accounted for 5.1 to 14.8% of the total phenotypic variation. Three QTL (qLCC-1-1, qLCC-1-2 and qLCC-4) were common between the tillering and heading stages. The alleles at four QTL (qLCC-1-1, qLCC-1-2, qLCC-2, and qLCC-8) from Koshihikari and the alleles at the other three QTL (qLCC-3, qLCC-4 and qLCC-6) from Kasalath increased LCC. The tightly linked molecular markers flanking the QTL detected in this study should be useful in improving photosynthetic ability in rice.

leaf chlorophyll content (, LCC), , quantitative trait locus (, QTL), , rice.,

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    上海师范大学,上海

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