Sas program ver 9

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SAS program ver. 9.2 is a software application that provides a comprehensive suite of tools for data analysis, statistical modeling, and reporting. The core function of this software is to enable users to efficiently manage, analyze, and interpret large datasets.

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SAS 9.4 (20063 citations) SAS ver. 9.4 (309 citations) SAS program (242 citations) SAS program 9.2 (11 citations) SAS Institute Ver. 9.3 (2 citations)

4 protocols using sas program ver 9

Genetic Variance Analysis of Stripe Rust

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The phenotypic data was analysed with the SAS program ver. 9.2. Analysis of variance (ANOVA) was carried out with the PROC GLM module in SAS, and the ANOVA results were used to calculate the broad sense heritability for AUDPC of SB across years, using the formula h² =

σ_{g}^{2}

σ_{g}^{2}

σ_{g * y}^{2}

/y +

σ_{e}^{2}

/ry), in which

σ_{g}^{2}

stands for genetic variance,

σ_{g * y}^{2}

for genotype-by-year interaction,

σ_{e}^{2}

for error variance, y for the number of years, and r for the number of replications. Pearson correlation coefficients were calculated with the PROC CORR function in SAS.

Singh P.K., He X., Sansaloni C.P., Juliana P., Dreisigacker S., Duveiller E., Kumar U., Joshi A.K, & Singh R.P. (2018). Resistance to Spot Blotch in Two Mapping Populations of Common Wheat Is Controlled by Multiple QTL of Minor Effects. International Journal of Molecular Sciences, 19(12), 4054.

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Heritability Estimation Using ANOVA

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The SAS program ver. 9.2 was used to conduct analysis of variance (ANOVA), with its PROC GLM module, whereas the calculation of Pearson's correlation coefficients was carried out using the PROC CORR function. The ANOVA results were used for calculating the heritability estimates, with the formula H² =

σ_{g}^{2}

σ_{g}^{2}

σ_{g * y}^{2}

/y +

σ_{g * s}^{2}

/s +

σ_{e}^{2}

/sy), where

σ_{g}^{2}

represents genetic variance,

σ_{g * y}^{2}

for genotype-by-year interaction,

σ_{g * s}^{2}

for genotype-by-sowing interaction,

σ_{e}^{2}

for error variance, y for the number of years and s for the number of sowing dates.

He X., Kabir M.R., Roy K.K., Anwar M.B., Xu K., Marza F., Odilbekov F., Chawade A., Duveiller E., Huttner E, & Singh P.K. (2020). QTL mapping for field resistance to wheat blast in the Caninde#1/Alondra population. TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik, 133(9), 2673-2683.

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Heritability Estimation in Plant Breeding

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The phenotypic data was analysed by the SAS program ver. 9.2. Analysis of variance (ANOVA) was carried out with the PROC GLM module, and Pearson correlation coefficients were calculated using the PROC CORR function. The results of ANOVA were used for calculating the heritability estimates, using the formula

h^{2} = σ_{g}^{2} / (σ_{g}^{2} + \frac{σ_{e}^{2}}{r})

for single years and

h^{2} = σ_{g}^{2} / (σ_{g}^{2} + \frac{σ_{g * y}^{2}}{y} + \frac{σ_{e}^{2}}{r y})

for multiple years; in which

σ_{g}^{2}

stands for genetic variance,

σ_{g * y}^{2}

for genotype-by-year interaction,

σ_{e}^{2}

for error variance, y for the number of years, and r for the number of replications [11 (link)].

He X., Singh P.K., Dreisigacker S., Singh S., Lillemo M, & Duveiller E. (2016). Dwarfing Genes Rht-B1b and Rht-D1b Are Associated with Both Type I FHB Susceptibility and Low Anther Extrusion in Two Bread Wheat Populations. PLoS ONE, 11(9), e0162499.

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Heritability Estimation of Phenotypic Traits

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The phenotypic data were analysed by the SAS program ver. 9.2. Analysis of variance (ANOVA) was carried out for each location with the PROC GLM module, and Pearson correlation coefficients were calculated using the PROC CORR function. The results of ANOVA were used for calculating the heritability estimates, using the formula h² =

σ_{g}^{2}

σ_{g}^{2}

σ_{e}^{2}

/r) for single year and h² =

σ_{g}^{2}

σ_{g}^{2}

σ_{g * y}^{2}

/y +

σ_{e}^{2}

/ry) for multiple years; in which

σ_{g}^{2}

stands for genetic variance,

σ_{g * y}^{2}

for genotype-by-year interaction,

σ_{e}^{2}

for error variance, y for the number of years, and r for the number of replications [16 (link)].

He X., Lillemo M., Shi J., Wu J., Bjørnstad Å., Belova T., Dreisigacker S., Duveiller E, & Singh P. (2016). QTL Characterization of Fusarium Head Blight Resistance in CIMMYT Bread Wheat Line Soru#1. PLoS ONE, 11(6), e0158052.

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