HARVEST

Holistic Analytics for Research, Validation, Experimentation, Statistics & Testing

A unified analytical platform providing end-to-end statistical tools for research design, data validation, experimental analysis, and scientific inference across multidisciplinary life-science and research domains.

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Design of
Experiment

📐

Comprehensive suite of experimental designs including CRD, RCBD, Split Plot, and Pooled Analysis.

15+ Tools Open →

Multivariate
Analysis

📉

Dimensionality reduction, pattern recognition, and relationship visualization.

New Open →

Correlation &
Regression

🔗

Analyze relationships, associations and predictive models.

Testing Open →

Breeding
Analysis

🧬

Genetic analysis tools including Diallel crosses, GCA, SCA and Heterosis estimation.

Testing Open →

Hypothesis
Testing

🧪

Statistical tests to validate research assumptions, including t-tests, Z-tests, and Chi-square analysis.

Testing Open →

Design of Experiment

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Completely Randomized Design

▶

CRD (1-Factor)
Analysis

🎲

Analyze treatment mean differences and test significance under a Completely Randomized Design

v1.26 Start →

CRD (2-Factor)
Analysis

🎲

Analyze Main Factor A, Main Factor B, and their Interaction effects under CRD

v1.13 Start →

CRD (3-Factor)
Analysis

🎲

Analyze complex A x B x C interactions. Includes main effects, 2-way, and 3-way interactions.

Testing Start →

CRD (1-Factor Pooled)
Analysis

🎲

Combined analysis across environments (Locations/Years). Includes Bartlett's Test.

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CRD (2-Factor Pooled)
Analysis

🎲

Pooled Analysis of Two Factors (A x B) across Environments. Includes Interactions.

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Randomized Complete Block Design

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RCBD (1-Factor)
Analysis

田

Randomized Complete Block Design. Single treatment factor with replication blocking.

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RCBD (2-Factor)
Analysis

🔢

Factorial RCBD (Factor A x Factor B) with Replications. Includes Interaction effects.

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RCBD (3-Factor)
Analysis

🧊

Factorial RCBD (A x B x C) with Replications. Includes three-way interactions.

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Split Plot Design

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Split Plot (1,1)
Analysis

🌱

Main Plot x Sub Plot Design with two error terms and precision levels.

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Split Plot (2-1)
Analysis

Two Main Plots × One Sub Plot Design. Includes complex interactions.

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Split Plot (1,2)
Analysis

One Main Plot × Two Sub Plots Design. Three-way interactions supported.

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Split-Split Plot (1,1,1)
Analysis

Main × Sub × Sub-Sub Design with three error terms (a, b, c).

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Split Plot (CRD)
Analysis

🧪

Split Plot Design in CRD with two error terms (Main & Sub).

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Split Plot (Pooled)
Analysis

Combined analysis of Split Plots across environments/years.

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Latin Square Design

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Latin Square
Design

🔲

Analyze row, column, and treatment effects with balanced orthogonality. Includes ANOVA, Means, and Post-hoc tests.

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Strip Plot Analysis

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Strip Plot
Design

🌾

Analyze factorial experiments laid out in perpendicular strips. Includes interactions and precision stats.

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Correlation & Regression

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Correlation

▶

Pearson
Correlation

🔗

Test linear associations with significance testing and heatmap visualization.

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Genotypic
Correlation

🧬

Analyze genetic associations by partitioning covariance components from RCBD ANOVA.

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Phenotypic
Correlation

🧪

Observe overall trait associations including genetic and environmental effects.

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Spearman Rank
Correlation

🔢

Measure monotonic associations using Ranked data. Robust to outliers.

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Regression

▶

REGRESSION
ANALYSIS

📉

Build predictive models using Linear, Multiple, and Polynomial regression. Includes full diagnostics and OLS mapping.

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Breeding Analysis

Design Generator

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Correlation & Association Analysis

▶

Genotypic
Correlation

🧬

Precision analysis of genetic associations partitioned from RCBD ANOVA.

Testing Start →

Phenotypic
Correlation

🧪

Measure trait associations at the observable level. Includes genetic and environmental interactions.

Testing Start →

Path Analysis (Cause–Effect)

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Genotypic
Path Analysis

🔢

Decompose genetic correlations into direct and indirect effects using matrix inversion.

Testing Start →

Phenotypic
Path Analysis

🧬

Analyze observable trait associations and partition them into direct and indirect causal components.

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Genetic Variability & Divergence

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Genetic Parameter
Estimation

🧬

ANOVA-based estimation of h², GCV/PCV, and Genetic Advance for RCBD trials.

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Mahalanobis
D² Statistics

🧬

Classify genotypes into clusters using Tocher's Method and quantify genetic divergence.

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Combining Ability & Diallel Analysis

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GRIFFING'S METHOD 1
(FULL DIALLEL)

🌀

Full Diallel Analysis (Method I) including Parents, F1s, and Reciprocals. Estimates GCA, SCA, and RCA.

Testing Start →

GRIFFING'S METHOD 1
(DIALLEL + CHECK)

🧬

Diallel Method I with partitioning of ANOVA for Check varieties. Includes Standard Heterosis calculations.

Testing Start →

GRIFFING'S METHOD 2
(HALF DIALLEL)

🌟

Half Diallel Analysis (Method II) including Parents and F1s. Estimates GCA, SCA, and Heritability.

Testing Start →

GRIFFING'S METHOD 2
(HALF + CHECK)

🧪

Half Diallel Method II with partitioning of ANOVA for Check varieties. Estimates GCA, SCA and Heterosis.

Testing Start →

Hybrid & Mating Analysis

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Line × Tester
Analysis

✖️

Analyze Combining Ability, Genetic Variance & Heterosis in L×T mating design.

Testing Start →

Stability & G×E Analysis

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Stability Analysis
(Eberhart & Russell)

📈

Analyze G×E interaction and stability using linear regression. Includes b_i and S²d_i parameters.

Testing Start →

Hypothesis Testing

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t-TEST

t-Test (One Sample)

🔢

Test if a population mean differs from a target value. Includes Shapiro-Wilk and thesis-grade reporting.

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t-Test (Two Sample)

📈

Compare means of two groups. Handles variance equality via Bartlett's test for Student/Welch t-test.

Statistical Start →

t-Test (Paired Sample)

🔗

Analyze related pairs (e.g. Before/After). Includes normality test on differences and paired line plots.

Statistical Start →

F-TEST

F-TEST (VARIANCE RATIO)

🧪

Compare variances of two independent samples. Includes normality testing and thesis-grade reporting.

Testing Start →

Design ofExperiment

MultivariateAnalysis

Correlation &Regression

BreedingAnalysis

HypothesisTesting

Design of Experiment

Completely Randomized Design

CRD (1-Factor)Analysis

CRD (2-Factor)Analysis

CRD (3-Factor)Analysis

CRD (1-Factor Pooled)Analysis

CRD (2-Factor Pooled)Analysis

Randomized Complete Block Design

RCBD (1-Factor)Analysis

RCBD (2-Factor)Analysis

RCBD (3-Factor)Analysis

Split Plot Design

Split Plot (1,1)Analysis

Split Plot (2-1)Analysis

Split Plot (1,2)Analysis

Split-Split Plot (1,1,1)Analysis

Split Plot (CRD)Analysis

Split Plot (Pooled)Analysis

Latin Square Design

Latin SquareDesign

Strip Plot Analysis

Strip PlotDesign

Multivariate Analysis

PrincipalComponent

PathAnalysis

Correlation & Regression

Correlation

PearsonCorrelation

GenotypicCorrelation

PhenotypicCorrelation

Spearman RankCorrelation

Regression

REGRESSIONANALYSIS

Breeding Analysis

Correlation & Association Analysis

GenotypicCorrelation

PhenotypicCorrelation

Path Analysis (Cause–Effect)

GenotypicPath Analysis

PhenotypicPath Analysis

Genetic Variability & Divergence

Genetic ParameterEstimation

MahalanobisD² Statistics

Combining Ability & Diallel Analysis

GRIFFING'S METHOD 1(FULL DIALLEL)

GRIFFING'S METHOD 1(DIALLEL + CHECK)

GRIFFING'S METHOD 2(HALF DIALLEL)

GRIFFING'S METHOD 2(HALF + CHECK)

Hybrid & Mating Analysis

Line × TesterAnalysis

Stability & G×E Analysis

Stability Analysis(Eberhart & Russell)

Hypothesis Testing

t-TEST

t-Test (One Sample)

t-Test (Two Sample)

t-Test (Paired Sample)

F-TEST

F-TEST (VARIANCE RATIO)

Design of
Experiment

Multivariate
Analysis

Correlation &
Regression

Breeding
Analysis

Hypothesis
Testing

CRD (1-Factor)
Analysis

CRD (2-Factor)
Analysis

CRD (3-Factor)
Analysis

CRD (1-Factor Pooled)
Analysis

CRD (2-Factor Pooled)
Analysis

RCBD (1-Factor)
Analysis

RCBD (2-Factor)
Analysis

RCBD (3-Factor)
Analysis

Split Plot (1,1)
Analysis

Split Plot (2-1)
Analysis

Split Plot (1,2)
Analysis

Split-Split Plot (1,1,1)
Analysis

Split Plot (CRD)
Analysis

Split Plot (Pooled)
Analysis

Latin Square
Design

Strip Plot
Design

Principal
Component

Path
Analysis

Pearson
Correlation

Genotypic
Correlation

Phenotypic
Correlation

Spearman Rank
Correlation

REGRESSION
ANALYSIS

Genotypic
Correlation

Phenotypic
Correlation

Genotypic
Path Analysis

Phenotypic
Path Analysis

Genetic Parameter
Estimation

Mahalanobis
D² Statistics

GRIFFING'S METHOD 1
(FULL DIALLEL)

GRIFFING'S METHOD 1
(DIALLEL + CHECK)

GRIFFING'S METHOD 2
(HALF DIALLEL)

GRIFFING'S METHOD 2
(HALF + CHECK)

Line × Tester
Analysis

Stability Analysis
(Eberhart & Russell)