Development of the recombinant inbred line populations （RILs） is important basis to detect QTLs for cold tolerance at booting stage in rice. A set of 230 RILs derived from the cross of Towada and Kunmingxiaobaigu we...Development of the recombinant inbred line populations （RILs） is important basis to detect QTLs for cold tolerance at booting stage in rice. A set of 230 RILs derived from the cross of Towada and Kunmingxiaobaigu were used for evaluation of low-temperature response on major agronomic traits of plant height （PH）, panicle length （PL）, panicle exsertion （PE）, spikelet fertility （SF）, specific spikelet fertility （SSF）, and spikelets per panicle （SPP） under natural low-temperature growing environments in Yunnan Province, China. The results showed PH, PE, and SPP were mainly attributed by genotypes. PL was mainly influenced interactively by the genotypes × environments. SF and SSF were mainly controlled by the environments. Under the five different growth environments, F values of the six agronomic traits mentioned above ranged from 4.019 to 97.284. Significant difference was revealed between the lines. Under every environment, it indicated significantly positive correlation between SF and SSF, with correlation coefficients ranged from 0.826 to 0.885. It indicated significantly positive correlation between PH, PL, and PE. Under five different growing environments, variation coefficients of the six characters ordered in SSF （66.3%） 〉 PE （57.4%） 〉 SP （37.2%） 〉 SPP （16.2%） 〉 PH （9.6%） 〉 PL （6.4%）. SSF, PE and SF were most sensitive to low temperature stress at booting stage, while SPP, PH and PL being least. The RILs of Towada/ Kunmingxiaobaigu can be used as a genetic population to investigate cold tolerance at booting stage. SSF, PE and SF are most sensitive to cold tolerance at booting stage in rice. So far the the variation of PH, PL, and SPP related to cold tolerance are not clear under natural low-temperature environment. More tested environments and years are required to identify and evaluate cold tolerance at booting stage in rice.展开更多
Improvement of seed yield of soybean(Glycine max(L.)Merr.)is generally achieved by combining morphological and yield-related traits,such as plant height(PH),node number on main stem(NN),pod number per plant(NP),seed n...Improvement of seed yield of soybean(Glycine max(L.)Merr.)is generally achieved by combining morphological and yield-related traits,such as plant height(PH),node number on main stem(NN),pod number per plant(NP),seed number per plant(NS),100-seed weight(HSW)and seed weight per plant(SWPP).Identifying quantitative trait loci(QTLs)for morphological and yield-related traits is therefore important for breeding.In this study,a four-way recombinant inbred line population comprising 160 lines derived from the cross(Kenfeng14×Kenfeng15)×(Heinong48×Kenfeng19)was planted in five different environments and morphological and yield-related trait data were used to identify QTLs by the inclusive composite interval mapping method.Totally 38 QTLs for PH,40 QTLs for NN,26 QTLs for NP,10 QTLs for NS,26 QTLs for HSW and 49 QTLs for SWPP were detected in 125 genomic regions.Single QTLs explained 2.17%-14.60%,2.00%-10.04%,2.37%-9.77%,2.62%-8.61%,0.47%-6.51%and 0.14%-12.39%of the phenotypic variation for PH,NN,NP,NS,HSW and SWPP,respectively.Among these 125 genomic regions,120 were newly associated with morphological and yield-related traits.The results would facilitate the molecular breeding of morphological and yield-related traits in soybean.展开更多
supported by a grant from the National High-Tech R＆D Program of China （2014AA10A603, 2014AA10A604）;a grant from the Youth Foundation in Sichuan, China （2011JTD0022）;the special fund for China Agricultural Researc...supported by a grant from the National High-Tech R＆D Program of China （2014AA10A603, 2014AA10A604）;a grant from the Youth Foundation in Sichuan, China （2011JTD0022）;the special fund for China Agricultural Research System （CARS-01-08）;the Provincial Specialized Funds for Innovation Ability Promotion in Sichuan, China （2013GXJS005）展开更多
Plant height in cucumber is not only an important trait for breeding,but also one of the model traits suitable for the study of developmental biology.Amplified fragment length polymorphism(AFLP)and simple sequence rep...Plant height in cucumber is not only an important trait for breeding,but also one of the model traits suitable for the study of developmental biology.Amplified fragment length polymorphism(AFLP)and simple sequence repeat(SSR)markers techniques were applied for the construction of genetic linkage maps in cucumber.To understand the dwarf trait genetic basis in cucumber,the quantitative trait loci(QTL)were identified using F_6 recombinant inbred line populations(RILs)comprising 336 lines from the cross between the two cultivars D0462(the dwarf)and DN129(the vine).In total,six SSR markers and 15 AFLP markers were detected on the five linkage groups covering 152.8 cM with a mean marker interval of 7.28 cM.Only one QTL was found to be linked with plant height and the dwarf trait locus remained in the fourth linkage group.The contributory percentage of the single QTL to plant height was 11.39%.展开更多
To investigate the genetic mechanism of AI-tolerance in soybean, a recombinant inbred line population （RIL） with 184 F2：7：11 lines derived from the cross of Kefen9 No.1×Nannong 1138-2 （AI-tolerant×AI-se...To investigate the genetic mechanism of AI-tolerance in soybean, a recombinant inbred line population （RIL） with 184 F2：7：11 lines derived from the cross of Kefen9 No.1×Nannong 1138-2 （AI-tolerant×AI-sensitive） were tested in pot experiment with sand culture medium in net room in Nanjing. Four traits, i.e. plant height, number of leaves, shoot dry weight and root dry weight at seedling stage, were evaluated and used to calculate the average membership index （FAi） as the indicator of AI-tolerance. The composite interval mapping （CIM） under WinQTL Cartographer v. 2.5 detected five QTLs （i.e. qFAi-1, qFAi- 2, qFAi-3, qFAi-4 and qFAi-5）, explaining 5.20%-9.07% of the total phenotypic variation individually. While with the multiple interval mapping （MIM） of the same software, five QTLs （qFAi-1, qFAi.5, qFAi.6, qFAi-7, and qFAi-8） explaining 5.7%-24.60% of the total phenotypic variation individually were mapped. Here qFAi-1 and qFAi-5 were detected by both CIM and MIM with the locations in a same flanking marker region, GMKF046-GMKF080 on B1 and satt278-sat_95 on L, respectively. While qFAi-2 under CIM and qFAi-6 under MIM both on Dlb2 were located in neighboring regions with their confidence intervals overlapped and might be the same locus. Segregation analysis under major gene plus polygene inheritance model showed that AI-tolerance was controlled by two major genes （h^2mg=33.05%） plus polygenes （h^2pg=52.73%）. Both QTL mapping and segregation analysis confirmed two QTLs responsible for AI-tolerance with relatively low heritability, and there might be a third QTL, confounded with the polygenes in segregation analysis.展开更多
基金supported by the National Natural Science Foundation of China (30460065)the National 948 Key Program of Ministry of Agriculture of China (2006-G1)the National Key Technology R&D Program during the 11th Five-Year Plan period of China (2006BAD13B01)
文摘Development of the recombinant inbred line populations （RILs） is important basis to detect QTLs for cold tolerance at booting stage in rice. A set of 230 RILs derived from the cross of Towada and Kunmingxiaobaigu were used for evaluation of low-temperature response on major agronomic traits of plant height （PH）, panicle length （PL）, panicle exsertion （PE）, spikelet fertility （SF）, specific spikelet fertility （SSF）, and spikelets per panicle （SPP） under natural low-temperature growing environments in Yunnan Province, China. The results showed PH, PE, and SPP were mainly attributed by genotypes. PL was mainly influenced interactively by the genotypes × environments. SF and SSF were mainly controlled by the environments. Under the five different growth environments, F values of the six agronomic traits mentioned above ranged from 4.019 to 97.284. Significant difference was revealed between the lines. Under every environment, it indicated significantly positive correlation between SF and SSF, with correlation coefficients ranged from 0.826 to 0.885. It indicated significantly positive correlation between PH, PL, and PE. Under five different growing environments, variation coefficients of the six characters ordered in SSF （66.3%） 〉 PE （57.4%） 〉 SP （37.2%） 〉 SPP （16.2%） 〉 PH （9.6%） 〉 PL （6.4%）. SSF, PE and SF were most sensitive to low temperature stress at booting stage, while SPP, PH and PL being least. The RILs of Towada/ Kunmingxiaobaigu can be used as a genetic population to investigate cold tolerance at booting stage. SSF, PE and SF are most sensitive to cold tolerance at booting stage in rice. So far the the variation of PH, PL, and SPP related to cold tolerance are not clear under natural low-temperature environment. More tested environments and years are required to identify and evaluate cold tolerance at booting stage in rice.
基金Supported by the Key Research and Development Project of Heilongjiang Province(GA21B009-06)。
文摘Improvement of seed yield of soybean(Glycine max(L.)Merr.)is generally achieved by combining morphological and yield-related traits,such as plant height(PH),node number on main stem(NN),pod number per plant(NP),seed number per plant(NS),100-seed weight(HSW)and seed weight per plant(SWPP).Identifying quantitative trait loci(QTLs)for morphological and yield-related traits is therefore important for breeding.In this study,a four-way recombinant inbred line population comprising 160 lines derived from the cross(Kenfeng14×Kenfeng15)×(Heinong48×Kenfeng19)was planted in five different environments and morphological and yield-related trait data were used to identify QTLs by the inclusive composite interval mapping method.Totally 38 QTLs for PH,40 QTLs for NN,26 QTLs for NP,10 QTLs for NS,26 QTLs for HSW and 49 QTLs for SWPP were detected in 125 genomic regions.Single QTLs explained 2.17%-14.60%,2.00%-10.04%,2.37%-9.77%,2.62%-8.61%,0.47%-6.51%and 0.14%-12.39%of the phenotypic variation for PH,NN,NP,NS,HSW and SWPP,respectively.Among these 125 genomic regions,120 were newly associated with morphological and yield-related traits.The results would facilitate the molecular breeding of morphological and yield-related traits in soybean.
基金supported by a grant from the National High-Tech R&D Program of China (2014AA10A603, 2014AA10A604)a grant from the Youth Foundation in Sichuan, China (2011JTD0022)+1 种基金the special fund for China Agricultural Research System (CARS-01-08)the Provincial Specialized Funds for Innovation Ability Promotion in Sichuan, China (2013GXJS005)
文摘supported by a grant from the National High-Tech R＆D Program of China （2014AA10A603, 2014AA10A604）;a grant from the Youth Foundation in Sichuan, China （2011JTD0022）;the special fund for China Agricultural Research System （CARS-01-08）;the Provincial Specialized Funds for Innovation Ability Promotion in Sichuan, China （2013GXJS005）
基金Supported by the"Academic Backbone"Project of Northeast Agricultural University(18XG06)Supporting Certificate of Heilongjiang Postdoctoral Scientific Research Developmental Fund(LBH-Q16021)the Natural Science Foundation of Heilongjiang Province,China(LH2019C033)。
文摘Plant height in cucumber is not only an important trait for breeding,but also one of the model traits suitable for the study of developmental biology.Amplified fragment length polymorphism(AFLP)and simple sequence repeat(SSR)markers techniques were applied for the construction of genetic linkage maps in cucumber.To understand the dwarf trait genetic basis in cucumber,the quantitative trait loci(QTL)were identified using F_6 recombinant inbred line populations(RILs)comprising 336 lines from the cross between the two cultivars D0462(the dwarf)and DN129(the vine).In total,six SSR markers and 15 AFLP markers were detected on the five linkage groups covering 152.8 cM with a mean marker interval of 7.28 cM.Only one QTL was found to be linked with plant height and the dwarf trait locus remained in the fourth linkage group.The contributory percentage of the single QTL to plant height was 11.39%.
基金the National Natural Science Foundation of China (30490250 and 30671266)the State Key Basic Research and Development Plan of China (2006CB101708)+2 种基金the Hi-Tech Research and Development Program (863) of China (2006AA100104)the National Science and Technology Sup- porting Program (2006BAD13B05-7)the Ministry of Education Program for Changjiang Scholars and Innovative Research Team in University (PCSIRT) and the 111 Project (B08025)
文摘To investigate the genetic mechanism of AI-tolerance in soybean, a recombinant inbred line population （RIL） with 184 F2：7：11 lines derived from the cross of Kefen9 No.1×Nannong 1138-2 （AI-tolerant×AI-sensitive） were tested in pot experiment with sand culture medium in net room in Nanjing. Four traits, i.e. plant height, number of leaves, shoot dry weight and root dry weight at seedling stage, were evaluated and used to calculate the average membership index （FAi） as the indicator of AI-tolerance. The composite interval mapping （CIM） under WinQTL Cartographer v. 2.5 detected five QTLs （i.e. qFAi-1, qFAi- 2, qFAi-3, qFAi-4 and qFAi-5）, explaining 5.20%-9.07% of the total phenotypic variation individually. While with the multiple interval mapping （MIM） of the same software, five QTLs （qFAi-1, qFAi.5, qFAi.6, qFAi-7, and qFAi-8） explaining 5.7%-24.60% of the total phenotypic variation individually were mapped. Here qFAi-1 and qFAi-5 were detected by both CIM and MIM with the locations in a same flanking marker region, GMKF046-GMKF080 on B1 and satt278-sat_95 on L, respectively. While qFAi-2 under CIM and qFAi-6 under MIM both on Dlb2 were located in neighboring regions with their confidence intervals overlapped and might be the same locus. Segregation analysis under major gene plus polygene inheritance model showed that AI-tolerance was controlled by two major genes （h^2mg=33.05%） plus polygenes （h^2pg=52.73%）. Both QTL mapping and segregation analysis confirmed two QTLs responsible for AI-tolerance with relatively low heritability, and there might be a third QTL, confounded with the polygenes in segregation analysis.
