scholarly journals Penggunaan Berbagai Media Tanam dan Inokulasi Spora Untuk Meningkatkan Kolonisasi Ektomikoriza dan Pertumbuhan Shorea javanica

2017 ◽  
Vol 5 (3) ◽  
pp. 87
Author(s):  
Wiwin Febriani ◽  
Melya Riniarti ◽  
Surnayanti Surnayanti
Keyword(s):  
Plant Growth ◽  
Analysis Of Variance ◽  
Spore Suspension ◽  
Decisive Factor ◽  
Bartlett Test ◽  
Homogeneity Of Variance ◽  
Plant Data ◽  
Ectomycorrhizal Colonization

Media is a decisive factor to succed the ectomycorrhizal colonization and plant growth. This study aimed to get the best planting media to increase ectomycorrhizal colonization and growth of Shorea javanica. The experiment was conducted in a greenhouse for four months.  The experimental designed by randomized complete design with four treatments upon the planting media: soil, sand, husk and cocopeat. Ectomycorrhiza given as spore suspension  (Scleroderma columnare) of 20 ml each plant. Data were analyzed using the Bartlett test to determine homogeneity of variance followed by analysis of variance and LSD. The results shown that the sand provides the best results compared to another media to form  ectomycorrhiza colonization; while sand and soil were the best media to support the growth of S. javanica with inoculation of S. Columnare. Keyword : colonization, ectomycorrhiza, Shorea javanica, planting media

scholarly journals The Effect of Scleroderma columnare Inoculum Doses to Enhance Ectomycorrhizal Colonization and Growth of Shorea javanica Seedling

2018 ◽  
Vol 6 (1) ◽  
pp. 9
Author(s):  
Inafa Handayani ◽  
Melya Riniarti ◽  
Afif Bintoro
Keyword(s):  
Plant Growth ◽  
Leaf Area ◽  
Plant Height ◽  
Analysis Of Variance ◽  
Dry Weight ◽  
Total Leaf Area ◽  
Shoot Dry Weight ◽  
Ectomycorrhizal Colonization ◽  
Total Dry Weight ◽  
Spore Inoculation

Ectomycorrhiza helped plants to absorb nutrients and water. Shorea javanica belong to Dipterocarpaceae family and highly dependent on ectomycorrhiza to growth. Spore inoculation was one way to inoculate ectomycorrhiza fungi. This study aimed to get the best doses of spore Scleroderma columnare on colonization and enhancing growth of Shorea javanica seedling. This experiment used randomized complete design with 5 treatments and 3 replicates. The treatments were 0, 5, 10, 15, and 20 ml/polybag spore inoculum of S. columnare. Data obtained were analyzed by analysis of variance (anova) and continued with Least Significant Different (LSD). The results showed that added of 10 ml (6,5 x 107) gained higher root colonizatition (%).  Dosis of 10 ml (6,5 x 107) and 20 ml (1,3 x 108) spore inoculum were able to improve plant growth on the parameters such as plant height, shoot dry weight, total dry weight, and total leaf area. Keywords: Dose of Inoculum, ectomycorrhiza, Scleroderma columnare, Shorea javanica.

scholarly journals Pengaruh Pemberian Pupuk Organik Cair Nasa Dan Pupuk Kompos Terhadap Pertumbuhan Tanaman Kenaf ( Hibiscus cannabinus L)

2018 ◽  
Vol 7 (1) ◽  
pp. 6
Author(s):  
Hairin Juanda ◽  
Tutik Nugrahini ◽  
Mahdalena Mahdalena
Keyword(s):  
Plant Growth ◽  
Leaf Area ◽  
Plant Height ◽  
Analysis Of Variance ◽  
Organic Fertilizer ◽  
Hibiscus Cannabinus ◽  
Stem Diameter ◽  
Randomized Design ◽  
Number Of Leaves ◽  
Completely Randomized Design

Effect of NASA Liquid Organic Fertilizer and Compost Fertilizer on Kenaf Plant Growth (Hibiscus cannabinus L). This study aims to determine the effect of NASA POC, compost fertilizer and the interaction of NASA POC and compost fertilizer on kenaf plants. This research was carried out at East Borneo Samarinda Indonesia. with a time of ± 4 months, starting from June to September 2016. The design of the study uses factorial completely randomized design (CRD) consisting of 2 treatments and 4 replications. The treatment consists of 2 factors. The first factor is the administration of NASA POC consisting of 4 levels, namely: j0: Control (without treatment), j1: POC with a concentration of 10 ml / liter of water, j2: POC with a concentration of 15 ml / liter of water, j3: POC with a concentration of 20 ml / liter of water. The second factor is Compost fertilizer consisting of 4 levels, namely: k0: Without the provision of Compost Fertilizer, k1: Composting 500 gram / polybag, k2: Composting Fertilizer 700 grams / polybag, k3: Composting 800 grams / polybag. From the analysis of variance showed that the effect of giving NASA POC (J), compost (K) and the interaction of NASA POC and compost (JK) did not affect the parameters of plant height 30 DAP, 60 DAP and 90 DAP, stem diameter 30 DAP, 60 DAP and 90 DAP, number of leaves 30 DAP, 60 DAP and 90 DAP, leaf area 30 DAP, 60 DAP and 90 DAP. 

scholarly journals Estimation of heritability coefficients of number of born alive piglets in the first three farrowings swedish landrace sows

2011 ◽  
Vol 27 (1) ◽  
pp. 85-92 ◽  
Author(s):  
R. Savic ◽  
M. Petrovic ◽  
C. Radovic
Keyword(s):  
Genetic Variation ◽  
Analysis Of Variance ◽  
Intra Class Correlation ◽  
The Third ◽  
Homogeneity Of Variance ◽  
Estimated Heritability

The main objective of this study was to evaluate phenotypic and genetic variation of the number of piglets born alive (NBA) Swedish Landrace sows (SL) in three consecutive parities under the influence of sires, year and season of mating. The study included: 618 litters in the first, 470 in the second and 403 litter in the third farrowing. Testing the homogeneity of variance was performed with Levene?s test. The data were analyzed using analysis of variance (Statistica Ver. 6.0., 2003). Heritability coefficients were evaluated by intra-class correlation. Swedish Landrace sires have influenced on the variability of the NBA's daughter in the first and second farrowing (p<0.05), but not in the third farrowing. Year and season of mating was not influenced on the variability of the NBA (p>0.05). The estimated heritability coefficients for the NBA were the highest in the second (0.123), then the first (0.092) and lowest in the third farrowing (0.030).

The assessment of net dry matter partitioning by stepwise multivariate analysis of variance

1988 ◽  
Vol 66 (4) ◽  
pp. 805-808 ◽  
Author(s):  
Peter A. Jolliffe ◽  
John Hoddinott
Keyword(s):  
Multivariate Analysis ◽  
Plant Growth ◽  
Analysis Of Variance ◽  
Dry Matter ◽  
Multivariate Analysis Of Variance ◽  
Dry Matter Partitioning ◽  
Experimental Treatments ◽  
Plant Components

A serial procedure is described involving the analysis of variance, multivariate analysis of variance, and stepwise multivariate analysis of variance. The procedure identifies significant contributions by different plant components to changes in net dry matter partitioning induced by experimental treatments. The procedure was applied to results from a study of plants grown at different atmospheric CO2 concentrations. It confirmed that CO2 treatments caused significant changes in dry matter partitioning and that the set of plant components that best expressed the effects of CO2 treatments changed during plant growth.

scholarly journals Pengaruh Dosis Pupuk NPK dan Jenis Pupuk Pelengkap terhadap Pertumbuhan dan Produksi Cabai (Capsicum annuum L.)

2021 ◽  
Vol 20 (2) ◽  
pp. 81
Author(s):  
Kus Hendarto ◽  
Yohanes Cipta Ginting ◽  
Agus Karyanto ◽  
Virginia Chintya Amanda
Keyword(s):  
Experimental Design ◽  
Block Design ◽  
Growth And Yield ◽  
Tukey Test ◽  
Randomized Block Design ◽  
Significant Difference ◽  
Bartlett Test ◽  
Homogeneity Of Variance ◽  
Npk Fertilizer ◽  
Difference Test

This study aims to determine the effect of NPK dosage, types of complementary fertilizers and their interactions on the growth and production of chilies pepper.  This research was conducted in Sukabanjar Village, Gedong Tataan, Pesawaran Regency from July-December 2020.  The experimental design used in this study was a two-factor randomized block design (RBD), namely the dose of NPK fertilizer and the type of complementary fertilizer (4 × 2) with 3 replications.  Each plot consisted of 8 plants so that there were 192 plants.  The first factor was NPK Mutiara fertilizer dose (16:16:16)(N) with N0:0 g/plant, N1:10 g/plant, N2:20 g/plant and N3:30 g/plant.  The second factor is the type of complementary fertilizer (P) with P1 Plant Catalyst and P2 Gandasil D. Homogeneity of variance was tested by Bartlett test, additivity was tested by Tukey test. Then it was continued with analysist of variance and with the Least Significant Difference test (LSD) at the 5% level. Treatment of NPK fertilizer dosage significantly increases growth and yield.  The interaction between the NPK dosage of 20g/plant and type of complementary fertilizers gave highest plant height (95.58 cm). The best  combination was NPK dosage of 20 g/plant and Plant Catalyst fertilizer that gave highest yield (753,17 g/plant equivalent 15.06 ton/ha at population 20,000 plant/ha.Keywords : Chili pepper, complimentary fertilizer, growth, NPK, yield

scholarly journals Efikasi Herbisida Atrazin terhadap Gulma Umum pada Lahan Budidaya Tanaman Jagung (Zea mays L.)

2017 ◽  
Vol 15 (1) ◽  
Author(s):  
Mustajab Mustajab ◽  
Dad R. J. Sembodo ◽  
Herawati Hamim
Keyword(s):  
Zea Mays ◽  
Zea Mays L ◽  
Block Design ◽  
Agricultural Technology ◽  
Randomized Block Design ◽  
Significant Difference ◽  
Bartlett Test ◽  
Homogeneity Of Variance ◽  
The Common ◽  
And Control

The objective of this research was to know the efficacy of atrazine herbicide to control the common weed in maize (Zea mays L.) field and how was the phytotoxicity to maize (Zea mays L.) plant. The research was conducted in the Institute for Agricultural Technology assessment (BPTP), Natar Experimental Field, South Lampung regency with ultisol soil type and Weeds Laboratory Faculty of Agriculture, University of Lampung, from June to September 2013. The experiment was arranged in Completely Randomized Block Design (CRBD) with six treatments and four replications. The treatments are atrazine herbicide at 1.2, 1.6, 2.0, and 2.4 kg ha-1, mechanic weeding, and control. Homogeneity of variance was tested by Bartlett test and additivitty tested by Tukey's test, the comparison of mean were tested by Least Significant Difference (LSD) test at 5% level. The result showed that (1). Atrazine herbicide at 1.2 – 2.4 kg ha-1 could suppress total weed until 6 Week After Treatment (WAT). (2) Atrazine herbicide at 1.2–2.4 kg ha-1 could suppress broadleaves and grasses weed until 6 WAT. (3) Atrazine herbicide did not cause phytotoxicity symptoms to the maize (Zea mays L.).plant. Keywords: Weed, Efficacy, Atrazine, Maize

scholarly journals Pengaruh Lama Waktu Perendaman Dengan Air Terhadap Daya Berkecambah Trembesi (Samanea Saman)

2014 ◽  
Vol 2 (2) ◽  
pp. 25 ◽  
Author(s):  
Yuli Ardani Lubis ◽  
Melya Riniarti ◽  
Afif Bintoro
Keyword(s):  
Confidence Interval ◽  
Analysis Of Variance ◽  
Seed Rain ◽  
Dormancy Period ◽  
Randomized Design ◽  
Germination Process ◽  
Bartlett Test ◽  
Tree Seeds ◽  
Completely Randomized Design ◽  
Samanea Saman

Well germination process of rain tree seeds will rised the percentation, capacity, and rate of germination. Nevertheless, there are still some obstacles on the germination process due to it dormancy period. Water is one of medium which could be used to break the dormancy period. This research was conducted at Lampung University green house on March 2012. The aim of this research was to investigate the effect of water submerged time to rain tree germination. This research was arrange on Completely Randomized Design (CRD) with 4 treatment and 4 repeatization. The treatments was the submerging time which was 24, 48 and 72 hours. Test of the similarity range were done by Bartlett test while the analysis by analysis of variance, furthermore the comparison of average values were done by the different test (BNJ) with a 5% confidence interval. The results of this research showed that the effect of submerged time of seed rain tree.  The effect of submerged time of seed rain tree for 72 hours was the best percentation of germination and germination of seed rain tree at 68,75% and 80,25%.  The submerged time did not effect to rate of germination seed rain tree.

scholarly journals Evaluating the Efficacy of Conditional Analysis of Variance under Heterogeneity and Non-Normality

2019 ◽  
Vol 17 (2) ◽  
Author(s):  
Yan Wang ◽  
Thanh Pham ◽  
Diep Nguyen ◽  
Eun Sook Kim ◽  
Yi-Hsin Chen ◽  
...  
Keyword(s):  
Analysis Of Variance ◽  
Simulation Study ◽  
Statistical Power ◽  
Error Control ◽  
Type I Error ◽  
Conditional Analysis ◽  
Type I ◽  
F Test ◽  
Homogeneity Of Variance ◽  
Robust Anova

A simulation study was conducted to examine the efficacy of conditional analysis of variance (ANOVA) methods where the initial homogeneity of variance screening leads to the choice between the ANOVA F test and robust ANOVA methods. Type I error control and statistical power were investigated under various conditions.

scholarly journals Analysis of variance of primary data on plant growth analysis

2003 ◽  
Vol 38 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Adelson Paulo Araújo
Keyword(s):  
Plant Growth ◽  
Analysis Of Variance ◽  
Growth Rates ◽  
Growth Analysis ◽  
Random Effect ◽  
Growth Conditions ◽  
Primary Data ◽  
F Test ◽  
Homogeneity Of Variances ◽  
Anova Model

Plant growth analysis presents difficulties related to statistical comparison of growth rates, and the analysis of variance of primary data could guide the interpretation of results. The objective of this work was to evaluate the analysis of variance of data from distinct harvests of an experiment, focusing especially on the homogeneity of variances and the choice of an adequate ANOVA model. Data from five experiments covering different crops and growth conditions were used. From the total number of variables, 19% were originally homoscedastic, 60% became homoscedastic after logarithmic transformation, and 21% remained heteroscedastic after transformation. Data transformation did not affect the F test in one experiment, whereas in the other experiments transformation modified the F test usually reducing the number of significant effects. Even when transformation has not altered the F test, mean comparisons led to divergent interpretations. The mixed ANOVA model, considering harvest as a random effect, reduced the number of significant effects of every factor which had the F test modified by this model. Examples illustrated that analysis of variance of primary variables provides a tool for identifying significant differences in growth rates. The analysis of variance imposes restrictions to experimental design thereby eliminating some advantages of the functional growth analysis.

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