Brix weight per stool (BW) of sugarcane is a complex trait, which is the final product of a combination of many components. Diallel cross experiments were conducted during a period of two years for BW and its five com...Brix weight per stool (BW) of sugarcane is a complex trait, which is the final product of a combination of many components. Diallel cross experiments were conducted during a period of two years for BW and its five component traits, in- cluding stalk diameter (SD), stalk length (SL), stalk number (SN), stalk weight (SW), and brix scale (BS) of sugarcane. Phenotypic data of all the six traits were analyzed by mixed linear model and their phenotype variances were portioned into additive (A), dominance (D), additive×environment interaction (AE) and dominance×environment interaction (DE) effects, and the correlations of A, D, AE and DE effects between BW and its components were estimated. Conditional analysis was employed to investigate the contribution of the components traits to the variances of A, D, AE and DE effects of BW. It was observed that the heritabilities of BW were significantly attributed to A, D and DE by 23.9%, 30.9% and 28.5%, respectively. The variance of A effect for BW was significantly affected by SL, SN and BS by 25.3%, 93.7% and 17.4%, respectively. The variances of D and DE effects for BW were also significantly influenced by all the five components by 5.1%~85.5%. These determinants might be helpful in sugarcane breeding and provide valuable information for multiple-trait improvement of BW.展开更多
Plant tissue sap analysis is becoming an established tool for crop fertilization recommendation. Few research was conducted to use it as screening tools in crop breeding. With introduction of hhand-held sap analysis m...Plant tissue sap analysis is becoming an established tool for crop fertilization recommendation. Few research was conducted to use it as screening tools in crop breeding. With introduction of hhand-held sap analysis meters, sap analysis is becoming a promising tool for genotype screening. In this study, we measured Brix and pH of flag leaf juice of 10 winter wheat genotypes after heading stage. Brix value tended to increase during the measurement period. Brix value of flag leaf sap was negatively correlated with kernel number per spike and grain yield per spike, positively correlated with kernel weight. The pH values of flag leaf sap were negatively correlated with kernel number per spike and grain yield per spike, positively correlated with kernel weight.展开更多
The experiments of sugarcane combination evaluation were conducted on 119 combinations during 2017-2018 crossing season in Nanning,Chongzuo and Laibin of Guangxi.The conjoint analysis of variance and estimation of gen...The experiments of sugarcane combination evaluation were conducted on 119 combinations during 2017-2018 crossing season in Nanning,Chongzuo and Laibin of Guangxi.The conjoint analysis of variance and estimation of genetic parameters were performed based on brix weight.Furthermore,combination stability was analyzed by regression analysis model and AMMI model.The results showed that differences in brix weight among combinations,environments and interaction between environments and combinations were all extremely significant(P<0.01),and the broad-sense heritability of brix weight belonged to medium level or slightly lower at the three sites.In both Chongzuo and Laibin,the variation coefficients of brix weight were large,but that in Nanning was small.Combinations 643,404,575,972,636,144,YC95,1470,755,409,701,832,YC37 and 579 performed high yield,high genetic stability and stronger adaptability.The results of comprehensive analysis in both brix weight and selection rate of combination showed that 449,YC127,796,YC44,533,570,YC123,391,546,403,YC90 and 252 performed high brix weight and high selection rate of combination in Nanning;combinations 643,212,YC61,432,903,YC95,YC44,368,YC83,YC127,YC112,701,411,YC90 and YC123 demonstrated high brix weight and high selection rate of combination in Chongzuo;and combinations 643,404,449,144,403 and YC48 had high brix weight and high selection rate of combination in Laibin.展开更多
基金Project supported partly by the National Science and TechnologySupport Program (No. 2006BAD10A09-08), Chinathe Great Science Research Program of Guangdong Province (No. A20602),China
文摘Brix weight per stool (BW) of sugarcane is a complex trait, which is the final product of a combination of many components. Diallel cross experiments were conducted during a period of two years for BW and its five component traits, in- cluding stalk diameter (SD), stalk length (SL), stalk number (SN), stalk weight (SW), and brix scale (BS) of sugarcane. Phenotypic data of all the six traits were analyzed by mixed linear model and their phenotype variances were portioned into additive (A), dominance (D), additive×environment interaction (AE) and dominance×environment interaction (DE) effects, and the correlations of A, D, AE and DE effects between BW and its components were estimated. Conditional analysis was employed to investigate the contribution of the components traits to the variances of A, D, AE and DE effects of BW. It was observed that the heritabilities of BW were significantly attributed to A, D and DE by 23.9%, 30.9% and 28.5%, respectively. The variance of A effect for BW was significantly affected by SL, SN and BS by 25.3%, 93.7% and 17.4%, respectively. The variances of D and DE effects for BW were also significantly influenced by all the five components by 5.1%~85.5%. These determinants might be helpful in sugarcane breeding and provide valuable information for multiple-trait improvement of BW.
基金Item supported by national natural sciencefoundation (No.20337010)
文摘Plant tissue sap analysis is becoming an established tool for crop fertilization recommendation. Few research was conducted to use it as screening tools in crop breeding. With introduction of hhand-held sap analysis meters, sap analysis is becoming a promising tool for genotype screening. In this study, we measured Brix and pH of flag leaf juice of 10 winter wheat genotypes after heading stage. Brix value tended to increase during the measurement period. Brix value of flag leaf sap was negatively correlated with kernel number per spike and grain yield per spike, positively correlated with kernel weight. The pH values of flag leaf sap were negatively correlated with kernel number per spike and grain yield per spike, positively correlated with kernel weight.
基金Guangxi Innovation-driven Development Project(GK AA17202042-4)Special Fund for Sugar Crop Research System Construction(CARS_17015)Guangxi Sugarcane Innovation Team Construction Project of National Modern Agriculture Industrial Technology System(gjnytxgxcxtd-03-01)。
文摘The experiments of sugarcane combination evaluation were conducted on 119 combinations during 2017-2018 crossing season in Nanning,Chongzuo and Laibin of Guangxi.The conjoint analysis of variance and estimation of genetic parameters were performed based on brix weight.Furthermore,combination stability was analyzed by regression analysis model and AMMI model.The results showed that differences in brix weight among combinations,environments and interaction between environments and combinations were all extremely significant(P<0.01),and the broad-sense heritability of brix weight belonged to medium level or slightly lower at the three sites.In both Chongzuo and Laibin,the variation coefficients of brix weight were large,but that in Nanning was small.Combinations 643,404,575,972,636,144,YC95,1470,755,409,701,832,YC37 and 579 performed high yield,high genetic stability and stronger adaptability.The results of comprehensive analysis in both brix weight and selection rate of combination showed that 449,YC127,796,YC44,533,570,YC123,391,546,403,YC90 and 252 performed high brix weight and high selection rate of combination in Nanning;combinations 643,212,YC61,432,903,YC95,YC44,368,YC83,YC127,YC112,701,411,YC90 and YC123 demonstrated high brix weight and high selection rate of combination in Chongzuo;and combinations 643,404,449,144,403 and YC48 had high brix weight and high selection rate of combination in Laibin.