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Aug 2021 DOI 10.14302/issn.2639-3166.jar-21-3880
Haroun Mohamed Adam AbubakerCorresponding author
Department of Crop Science, College of Agriculture, University of Bahri- Sudan.
Sugar beet is one of the sugar crops which widely grown in different regions of the world due to its advantages over Sugarcane. Several studies were conducted in Sudan to assess its adaptation and economic value. However, the aim of this experiment was to study the effect of application of compost and different levels of phosphorus fertilizer and their combination on Sugar beet (Beta vulgaris) growth attributes, yield and yield components. The study was conducted during the winter season 2018 –2019 at the farm of the College of Agriculture, University of Bahri, Alkadaro-Khartoum State, Sudan. The experiment was arranged in Randomized Complete Block Design (RCBD) with three replications and six treatments, namely the Compost (5t./ha.), Phosphorous (P2O5) (88kg./ha.), P2O5 (176 kg./ha.), Compost (5t./ha.)+P2O5 (88kg./ha.), Compost (5t./ha.)+ P2O5 (176Kg./ha.) and the Control (C) respectively. All cultural practices were carried out timely according to the recommendations of the Agricultural Research Centre in Sudan. Then the data pertaining the following agronomic traits were recorded, the leaf number; leaf dry weight (g), leaf area index (LAI) (cm), root diameter (RD) (cm) and root fresh weight (RFW) (g). The results of statistical analysis revealed the application of compost in combination with phosphorus displayed significant increase at 5% level for the leaf number (22.75), leaf area index (5.23), leaf dry weight(36.78), root diameter(69.67) and root fresh weight (422.68), followed by the application of compost alone compared to the control and other treatments. The study concludes that the combination of compost and mineral fertilizer (P2O5) proved to increase all Sugar beet growth and yield parameters.
Mar 2020 DOI 10.14302/issn.2643-2811.jmbr-20-3237
S. Oluwafemi OyamakinCorresponding author
Biometry Unit, Department of Statistics, Faculty of Science, University of Ibadan, Nigeria
This article has been retracted on 10 February 2021. VIEW THE RETRACTION NOTICE (https://doi.org/10.14302/issn.2643-2811.jmbr-25-5847) Understanding the implication of Genotype-by-Environment (GXE) interaction structure is an important consideration in plant breeding programs. Traditional statistical analyses of yield trials provide little or no insight into the particular pattern or structure of the GXE interaction. In this study, efforts were made to solve these problems under different level of data occurrence. We employed the simulation process of Monte Carlo in generating since use of a real-life data may pose a serious difficulty. In this paper, we simulated for two data Types of Balance and Unbalance designs with different Levels of generations (3X3, 7X7, 10X10, and 3X7, 7X3, 7X10, 10X7 , , respectively). We therefore check the performance of GXE interaction on four different models (AMMI, FW, GGE and Mixed model), and also their stability and adaptability. The findings revealed that, when the assumption was maintained, AMMI outperformed Finlay-Wilkinson model, GGE Biplot model and Mixed model.
Dec 2017 DOI 10.14302/issn.2576-9359.jot-17-1807
J. Schutt RyanCorresponding author
Scripps Center for Organ and Cell Transplantation, Scripps Green Hospital, 10666 North Torrey Road, La Jolla, California
Purpose Intra-operative insults may subject living kidney transplants to poor outcomes. Therefore, we investigated whether intra-operative recipient and donor hemodynamics could act as predictors of delayed graft function and subsequent outcomes. Materials and Methods Living kidney donors and recipients from 2010-2016 at this institution underwent a retrospective chart review. Graft function by post-operative day 7 was used to classify recipients as delayed graft function (need for dialysis), slow graft function (creatinine > 2.5) and good function. Groups were analyzed for intra-operative hemodynamic differences and at one year, incidence of rejection, graft function and survival were compared. Results A total of 111 living renal transplants were performed. Average recipient age was 50 and just over halfwere male (53%). 9% (n=10) and 10% (n=11) developed delayed graft function and slow graft function, respectively. Minimum recipient post re-perfusion central venous pressure ≥12 mmHg was associated with poor graft function (delayed graft function/slow graft function/good function=67%/56%/24%, p=0.009), while intra-operative hypotension (systolic <90 mmHg or diastolic <50 mmHg) was not. Delayed graft function and slow graft function had higher incidences of rejection than good function (30% and 36% vs 9%, p=0.012). Graft function and survival were similar. One patient died with a functioning graft. Conclusions This single center retrospective study suggests that a post re-perfusion central venous pressure ≥12 mmHg is associated with delayed graft function.