ABSTRACT
Oil palm (Elaeis guineensis Jacq.) is a perennial vegetable and a high oil-yielding crop (4–6 t/ha). There is a large scope for increasing the oil yield by selecting elite planting material for breeding programme in germplasm evaluation, characterization and utilization. In the present study, a diverse range of 150 oil palm genotypes were characterized using 12 quantitative variables with 54 genomic microsatellite markers. A wide variation was observed in the morphological traits among indigenous populations. Highly significant and positive correlations were observed between vegetative dry matter (VDM) and total dry matter (TDM) (0.862), and height and height increment (0.838). The first two principal component analyses explained 67.7% of total variation among morphological traits. The genotypes IC0610001-59 (Pune-2) and IC0610001-60 (Pune-2) were found highly promising based on less height increment, more TDM with high yield. For the mapping study, general linear model (GLM) approach, quantitative-trait loci (QTL) for annual height increment, number of bunches, bunch yield and bunch index were linked to simple-sequence repeat (SSR) loci mEgCIR3649 with phenotypic variance of 15.08, 10.43, 11.74, 15.39. TDM and VDM were linked to mEgCIR0192 (27.34 and 24.19%), mEgCIR3684 (16.84 and 18.30%), SPSC00163 (18.8 and 15.39%) and mEgCIR0555 (16.47 and 18.81%), with at a significant threshold (P) level of B0.001 and by mixed linear model (MLM) approach. TDM was linked to mEgCIR0555 with phenotypic variance of 20.72%, bunch yield and bunch index were linked to mEgCIR2813 at phenotypic variance of 17.11% and 12.88%, respectively, at a significant threshold (P) level of B0.01.
ABSTRACT
Iron (Fe) and zinc (Zn) deficiencies are wide spread in South Asia and Africa. Biofortification of food crops is a viable means of addressing micronutrient deficiencies. Lentil is an important pulse crop that provides affordable source of proteins, minerals, fibre and carbohydrates for micronutrient deficient countries. An association mapping (AM) panel of 96 diverse lentil genotypes fromIndia and Mediterranean region was evaluated for three seasons and genotyped using 80 polymorphic simple-sequence repeat (SSR) markers for identification of the markers associated with grain Fe and Zn concentrations. A Bayesian model based clustering identified five subpopulations, adequately explaining the genetic structure of the AM panel. The linkage disequilibrium (LD) analysis usingmixed linear model (MLM) identified two SSR markers, GLLC106 and GLLC108, associated with grain Fe concentration explaining 17% and 6% phenotypic variation, respectively and three SSR markers (PBALC 364, PBALC 92 and GLLC592) associated with grain Zn concentration, explaining 6%, 8% and 13% phenotypic variation, respectively. The identified SSRs exhibited consistentperformance across three seasons and have potential for utilization in lentil molecular breeding programme.
ABSTRACT
Abstract Pre-harvest sprouting (PHS) is a major abiotic factor affecting grain weight and quality, and is caused by an early break in seed dormancy. Association mapping (AM) is used to detect correlations between phenotypes and genotypes based on linkage disequilibrium (LD) in wheat breeding programs. We evaluated seed dormancy in 80 Chinese wheat founder parents in five environments and performed a genome-wide association study using 6,057 markers, including 93 simple sequence repeat (SSR), 1,472 diversity array technology (DArT), and 4,492 single nucleotide polymorphism (SNP) markers. The general linear model (GLM) and the mixed linear model (MLM) were used in this study, and two significant markers (tPt-7980 and wPt-6457) were identified. Both markers were located on Chromosome 1B, with wPt-6457 having been identified in a previously reported chromosomal position. The significantly associated loci contain essential information for cloning genes related to resistance to PHS and can be used in wheat breeding programs.
ABSTRACT
Objective To compare the differences of CD4 +T lymphocyte (CD4) counts between patients aged 18 and over,to explore the effect of age on treatment,36 months after having received the China National Free AIDS Antiretroviral Treatment on HIV/AIDS.Methods Through the National ART Information Ssystem,we selected those HIV/AIDS patients who initiated the ART 36 months after the ART,between January 1,2010 and December 31,2012 in Guangzhou,Liuzhou and Kunming.Patients were divided into age groups as 18-49,50-59 and 60 or over year olds,at the baseline of treatment.Under different levels of baseline CD4 counts,we chose the baseline and different time-point of CD4 counts as dependent variables,applied mixed linear model to analyze the effects of age,viral suppression,gender,baseline CD4/CDs ratio and initial treatment regimen.Results A total of 5 331 HIV/AIDS patients were recruited.No differences were found on age group ratios between different levels of baseline CD4 counts.At the level of baseline CD4＜200 cells/μl,both the 50-59 and 60 or above years old groups had lower CD4 counts than the 18-49 year-old group,within 36 months after the initiation of ART.However,at the baseline CD4 level of 200-350 cells/μl,no signiftcant differences on CD4 counts between the 50-59 year-old and 18-49 year-old groups were noticed.CD4 counts seemed lower in the 60 and above year-old group than in the 18-49 year-old group.Conclusion Age might serve as an influencing factor on CD4 counts within 36 months after the initiation of ART,suggesting that earlier initiation of ART might be of help to the recovery of immune function in the 50-59 year-old group.
ABSTRACT
Objective To compare the differences of CD4 +T lymphocyte (CD4) counts between patients aged 18 and over,to explore the effect of age on treatment,36 months after having received the China National Free AIDS Antiretroviral Treatment on HIV/AIDS.Methods Through the National ART Information Ssystem,we selected those HIV/AIDS patients who initiated the ART 36 months after the ART,between January 1,2010 and December 31,2012 in Guangzhou,Liuzhou and Kunming.Patients were divided into age groups as 18-49,50-59 and 60 or over year olds,at the baseline of treatment.Under different levels of baseline CD4 counts,we chose the baseline and different time-point of CD4 counts as dependent variables,applied mixed linear model to analyze the effects of age,viral suppression,gender,baseline CD4/CDs ratio and initial treatment regimen.Results A total of 5 331 HIV/AIDS patients were recruited.No differences were found on age group ratios between different levels of baseline CD4 counts.At the level of baseline CD4＜200 cells/μl,both the 50-59 and 60 or above years old groups had lower CD4 counts than the 18-49 year-old group,within 36 months after the initiation of ART.However,at the baseline CD4 level of 200-350 cells/μl,no signiftcant differences on CD4 counts between the 50-59 year-old and 18-49 year-old groups were noticed.CD4 counts seemed lower in the 60 and above year-old group than in the 18-49 year-old group.Conclusion Age might serve as an influencing factor on CD4 counts within 36 months after the initiation of ART,suggesting that earlier initiation of ART might be of help to the recovery of immune function in the 50-59 year-old group.
ABSTRACT
Objective To explore analysis method of repeated measurements in single-sample. Methods Mixed linear model was presented and an example of repeated measurements in single-sample was analyzed. Results The reasonable results were obtained for repeated measurements in single-sample by the methods of mixed linear model. Conclusion Mixed linear model can be used to analyze repeated measurement data in single-sample.