![]() The Taguchi method is used to formulate the experimental work and analyze the working parameters of the U‐tube heat exchanger, such as hot and cold mass flow rate and hoRenew Energyt inlet temperature and cold inlet temperature. ANSYS Fluentv20 is used for the CFD analysis, and the RNG k‐ɛ model and energy equation were considered to define the turbulence and heat transfer phenomena. The computational fluid dynamics (CFD)‐based parametric analysis is carried out to optimize the parameters affecting the temperature drop and heat transfer achieved from the U‐tube heat exchanger. In the present study, the passive technique of heat transfer in which single pass and double passes are included in a simple U‐tube heat exchanger is analyzed. The macros presented here could be utilized in various areas of biological sciences, especially plant breeding, to perform advanced statistical and experimental design analyses. Finally, the AMMI2 model was the best model and introduced the stable, high-yielding and moderate-tolerant maize genotypes. The stability analysis introduced genotype BARAKAT-74, GARZA, and DKC-6101, BOLSON as the most stable genotypes under drought. Path coefficients analysis showed the effects of EL and SPE traits on grain yield. ![]() Accordingly, our macro unraveled a specific kind of the exponential curves with the highest R-sq(adj) index (91.54%). The orthogonal comparison indicated a significant difference between two groups of maize genotypes (9 vs 11). In the results, the relative efficiencies (RE) showed that LS design has a lower RE than its lower-level designs. Twenty of recently-bred maize genotypes were examined under 2 drought environments along with the control in the field, and grain yield (YLD), seeds per ear (SPE), and ear length (EL) were scored. – In this paper, the development of novel macros for MINITAB are presented, to perform certain operations: (i) a curve-fitting examining 14 algorithms, (ii) comparing experimental designs, (iii) analyzing Latin square designs with sub-samplings,(iv) orthogonal contrasts comparisons, (v) performing multivariate path coefficient analysis, (vi, vii) analyzing stability analysis of genotypes. The macros and relevant user guides can be easily obtained as complementary files to this paper or from the first author via email. In general, the macros presented here could be utilized in various areas of biological sciences, especially plant breeding, to perform advanced statistical and experimental design analyses. ![]() In addition, path coefficients analysis revealed that independent variable had no significant direct effects on dependent variable. The results of curve-fitting macro for a dataset showed that one of the exponential-related models had an informative association between the dependent variables and associated independent one. ![]() In this paper, we report the development of advanced and novel macros for the MINITAB environment, which allow users to perform certain statistical and experimental design analyses, including: (i) a curve-fitting macro examining 15 fundamental statistical algorithms on a response-predictor dataset to uncover the best relationships, viz., linear regression, quadratic, cubic, logarithmic, natural logarithmic, inverse and some additional, sophisticated curve-fitting algorithms (ii) a macro for comparing two experimental designs by computing the relative efficiency macros performing nonlinear fitting, and macros for doing advanced/high-level designs of experiments, i.e., commands performing Latin square designs with sub-samplings for the first time, (iii) macros performing multivariate path coefficient analysis (MULTPATH), (iv) macros for analyzing stability statistics (parametric and nonparametric) of genotypes tested in plant breeding, and (v) a macro for orthogonal contrasts of treatments/groups, and some other macros.
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