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    SAS institute general linear model procedure of sas software package (proc glm) version 9.1
    General Linear Model Procedure Of Sas Software Package (Proc Glm) Version 9.1, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    SAS institute general linear model procedure of sas software package (proc glm) version 9.1
    General Linear Model Procedure Of Sas Software Package (Proc Glm) Version 9.1, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    SAS institute general linear model procedures (proc glm) of sas software program
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    SAS institute general linear models procedure (proc glm) of sas software
    General Linear Models Procedure (Proc Glm) Of Sas Software, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    SAS institute general linear models procedure (proc glm) of pc/sas software
    Data showing (a) Yam tuber wt (g / tuber) at harvest and 3 months post-harvest (least significant difference (lsd) 31.2 and 26.5 respectively α = 0.01), (b) percent weight loss of tubers after 3 months storage. (lsd = 0.81, α = 0.01), (c) Yam dry rot on a 1- 5 scale as influenced by W&P treatments (lsd = 0.10, alpha 0.01)., and (d) 3 months post-harvest reproductive factor (Rf 3 = population density at 3 months / initial {harvest} population density / g of yam peel) for Scutellonema bradys (lsd =0.12, α = 0.01), (e) Influence of W&P treatments on final population density of Scutellonema bradys per gram of yam peal from 2015-2018 (least significant difference =1.41,α = 0.01), and (f) Population density (Pf3/g of yam peel) 3 months post harvest for Scutellonema bradys as affected by W&P treatments from 2016 – 2018 (lsd = 2.95, α = 0.01). Data analysis consisted of one-way Analysis of Variance (ANOVA) for a randomized complete block design with three treatments and five replications. Combined analysis was done as for a factorial design with three treatments (BP-Abm, BP and FP), five replications, 26 farms, and four years with no adjustments. All data analysis was accomplished using the <t>General</t> <t>linear</t> <t>models</t> <t>procedure</t> (PROC GLM) of PC/SAS software (SAS Institute, Cary, NC). Mean separation was by Waller-Duncan K-ratio t-test. Boxes are bounded by Q1 (bottom, 25th percentile) and Q3 (75th percentile), whiskers as minimum (Q1-1.5*IQR) and maximum (Q3 + 1.5*IQR), median defined by line in the box (IQR), mean depicted by X, outliers depicted by dots.
    General Linear Models Procedure (Proc Glm) Of Pc/Sas Software, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    SAS institute generalized linear model (proc glm) procedure of sas system software
    Data showing (a) Yam tuber wt (g / tuber) at harvest and 3 months post-harvest (least significant difference (lsd) 31.2 and 26.5 respectively α = 0.01), (b) percent weight loss of tubers after 3 months storage. (lsd = 0.81, α = 0.01), (c) Yam dry rot on a 1- 5 scale as influenced by W&P treatments (lsd = 0.10, alpha 0.01)., and (d) 3 months post-harvest reproductive factor (Rf 3 = population density at 3 months / initial {harvest} population density / g of yam peel) for Scutellonema bradys (lsd =0.12, α = 0.01), (e) Influence of W&P treatments on final population density of Scutellonema bradys per gram of yam peal from 2015-2018 (least significant difference =1.41,α = 0.01), and (f) Population density (Pf3/g of yam peel) 3 months post harvest for Scutellonema bradys as affected by W&P treatments from 2016 – 2018 (lsd = 2.95, α = 0.01). Data analysis consisted of one-way Analysis of Variance (ANOVA) for a randomized complete block design with three treatments and five replications. Combined analysis was done as for a factorial design with three treatments (BP-Abm, BP and FP), five replications, 26 farms, and four years with no adjustments. All data analysis was accomplished using the <t>General</t> <t>linear</t> <t>models</t> <t>procedure</t> (PROC GLM) of PC/SAS software (SAS Institute, Cary, NC). Mean separation was by Waller-Duncan K-ratio t-test. Boxes are bounded by Q1 (bottom, 25th percentile) and Q3 (75th percentile), whiskers as minimum (Q1-1.5*IQR) and maximum (Q3 + 1.5*IQR), median defined by line in the box (IQR), mean depicted by X, outliers depicted by dots.
    Generalized Linear Model (Proc Glm) Procedure Of Sas System Software, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    SAS institute general linear model procedure (proc glm) in the sas 9.3 software
    Data showing (a) Yam tuber wt (g / tuber) at harvest and 3 months post-harvest (least significant difference (lsd) 31.2 and 26.5 respectively α = 0.01), (b) percent weight loss of tubers after 3 months storage. (lsd = 0.81, α = 0.01), (c) Yam dry rot on a 1- 5 scale as influenced by W&P treatments (lsd = 0.10, alpha 0.01)., and (d) 3 months post-harvest reproductive factor (Rf 3 = population density at 3 months / initial {harvest} population density / g of yam peel) for Scutellonema bradys (lsd =0.12, α = 0.01), (e) Influence of W&P treatments on final population density of Scutellonema bradys per gram of yam peal from 2015-2018 (least significant difference =1.41,α = 0.01), and (f) Population density (Pf3/g of yam peel) 3 months post harvest for Scutellonema bradys as affected by W&P treatments from 2016 – 2018 (lsd = 2.95, α = 0.01). Data analysis consisted of one-way Analysis of Variance (ANOVA) for a randomized complete block design with three treatments and five replications. Combined analysis was done as for a factorial design with three treatments (BP-Abm, BP and FP), five replications, 26 farms, and four years with no adjustments. All data analysis was accomplished using the <t>General</t> <t>linear</t> <t>models</t> <t>procedure</t> (PROC GLM) of PC/SAS software (SAS Institute, Cary, NC). Mean separation was by Waller-Duncan K-ratio t-test. Boxes are bounded by Q1 (bottom, 25th percentile) and Q3 (75th percentile), whiskers as minimum (Q1-1.5*IQR) and maximum (Q3 + 1.5*IQR), median defined by line in the box (IQR), mean depicted by X, outliers depicted by dots.
    General Linear Model Procedure (Proc Glm) In The Sas 9.3 Software, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    SAS institute general linear model (proc glm) procedure of sas software version 9.1
    Data showing (a) Yam tuber wt (g / tuber) at harvest and 3 months post-harvest (least significant difference (lsd) 31.2 and 26.5 respectively α = 0.01), (b) percent weight loss of tubers after 3 months storage. (lsd = 0.81, α = 0.01), (c) Yam dry rot on a 1- 5 scale as influenced by W&P treatments (lsd = 0.10, alpha 0.01)., and (d) 3 months post-harvest reproductive factor (Rf 3 = population density at 3 months / initial {harvest} population density / g of yam peel) for Scutellonema bradys (lsd =0.12, α = 0.01), (e) Influence of W&P treatments on final population density of Scutellonema bradys per gram of yam peal from 2015-2018 (least significant difference =1.41,α = 0.01), and (f) Population density (Pf3/g of yam peel) 3 months post harvest for Scutellonema bradys as affected by W&P treatments from 2016 – 2018 (lsd = 2.95, α = 0.01). Data analysis consisted of one-way Analysis of Variance (ANOVA) for a randomized complete block design with three treatments and five replications. Combined analysis was done as for a factorial design with three treatments (BP-Abm, BP and FP), five replications, 26 farms, and four years with no adjustments. All data analysis was accomplished using the <t>General</t> <t>linear</t> <t>models</t> <t>procedure</t> (PROC GLM) of PC/SAS software (SAS Institute, Cary, NC). Mean separation was by Waller-Duncan K-ratio t-test. Boxes are bounded by Q1 (bottom, 25th percentile) and Q3 (75th percentile), whiskers as minimum (Q1-1.5*IQR) and maximum (Q3 + 1.5*IQR), median defined by line in the box (IQR), mean depicted by X, outliers depicted by dots.
    General Linear Model (Proc Glm) Procedure Of Sas Software Version 9.1, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Data showing (a) Yam tuber wt (g / tuber) at harvest and 3 months post-harvest (least significant difference (lsd) 31.2 and 26.5 respectively α = 0.01), (b) percent weight loss of tubers after 3 months storage. (lsd = 0.81, α = 0.01), (c) Yam dry rot on a 1- 5 scale as influenced by W&P treatments (lsd = 0.10, alpha 0.01)., and (d) 3 months post-harvest reproductive factor (Rf 3 = population density at 3 months / initial {harvest} population density / g of yam peel) for Scutellonema bradys (lsd =0.12, α = 0.01), (e) Influence of W&P treatments on final population density of Scutellonema bradys per gram of yam peal from 2015-2018 (least significant difference =1.41,α = 0.01), and (f) Population density (Pf3/g of yam peel) 3 months post harvest for Scutellonema bradys as affected by W&P treatments from 2016 – 2018 (lsd = 2.95, α = 0.01). Data analysis consisted of one-way Analysis of Variance (ANOVA) for a randomized complete block design with three treatments and five replications. Combined analysis was done as for a factorial design with three treatments (BP-Abm, BP and FP), five replications, 26 farms, and four years with no adjustments. All data analysis was accomplished using the General linear models procedure (PROC GLM) of PC/SAS software (SAS Institute, Cary, NC). Mean separation was by Waller-Duncan K-ratio t-test. Boxes are bounded by Q1 (bottom, 25th percentile) and Q3 (75th percentile), whiskers as minimum (Q1-1.5*IQR) and maximum (Q3 + 1.5*IQR), median defined by line in the box (IQR), mean depicted by X, outliers depicted by dots.

    Journal: Nature Food

    Article Title: Plant-biomass-based hybrid seed wraps mitigate yield and post-harvest losses among smallholder farmers in sub-Saharan Africa

    doi: 10.1038/s43016-023-00695-z

    Figure Lengend Snippet: Data showing (a) Yam tuber wt (g / tuber) at harvest and 3 months post-harvest (least significant difference (lsd) 31.2 and 26.5 respectively α = 0.01), (b) percent weight loss of tubers after 3 months storage. (lsd = 0.81, α = 0.01), (c) Yam dry rot on a 1- 5 scale as influenced by W&P treatments (lsd = 0.10, alpha 0.01)., and (d) 3 months post-harvest reproductive factor (Rf 3 = population density at 3 months / initial {harvest} population density / g of yam peel) for Scutellonema bradys (lsd =0.12, α = 0.01), (e) Influence of W&P treatments on final population density of Scutellonema bradys per gram of yam peal from 2015-2018 (least significant difference =1.41,α = 0.01), and (f) Population density (Pf3/g of yam peel) 3 months post harvest for Scutellonema bradys as affected by W&P treatments from 2016 – 2018 (lsd = 2.95, α = 0.01). Data analysis consisted of one-way Analysis of Variance (ANOVA) for a randomized complete block design with three treatments and five replications. Combined analysis was done as for a factorial design with three treatments (BP-Abm, BP and FP), five replications, 26 farms, and four years with no adjustments. All data analysis was accomplished using the General linear models procedure (PROC GLM) of PC/SAS software (SAS Institute, Cary, NC). Mean separation was by Waller-Duncan K-ratio t-test. Boxes are bounded by Q1 (bottom, 25th percentile) and Q3 (75th percentile), whiskers as minimum (Q1-1.5*IQR) and maximum (Q3 + 1.5*IQR), median defined by line in the box (IQR), mean depicted by X, outliers depicted by dots.

    Article Snippet: All data analysis was accomplished using the General linear models procedure (PROC GLM) of PC/SAS software (SAS Institute, Cary, NC).

    Techniques: Blocking Assay, Software

    a , Yam yield in t ha −1 as influenced by W&P treatments for 2015–2018 field trials (lsd = 0.34, α = 0.01). b , Statistical data showing influence of BP–Abm, BP and FP treatments in field trials from 2015 to 2018 on population density of S. bradys per gram of yam peel at harvest and 3 months post-harvest (lsd =1.41 and 2.95, respectively, α = 0.01). c – e , Plots showing S.bradys final population (Pf) after storing tubers (produced after FP, BP and BP–Abm treatments) for 3 and 5 months in Glazoué ( c ), Savè ( d ) and Savalou ( e ) regions ( n = 3 for each treatment). Numbers 3 and 5 after each year on the x -axis labels indicate the storage time in months. Tubers collected from different sites were stored in the same yam barn, so the storability experiment was conducted in the same climatic conditions to avoid the influence on the results. f – h , Photographs showing yam tubers stored to evaluate tuber weight, quality and S. bradys population ( f ), individually labelled porous containers filled with yam tubers produced after treatment and FP ( g ) and tubers with peels removed for sampling ( h ). Data analysis in panels a and b consists of one-way ANOVA for a randomized complete block design with three treatments and five replications. Combined analysis was done as for a factorial design with three treatments (BP–Abm, BP and FP), five replications, 26 farms and 4 years with no adjustments. All data analysis was accomplished using the general linear models procedure of PC/SAS software (SAS Institute). Mean separation was done by Waller–Duncan k -ratio t -test. Boxes are bounded by quartile 1 (bottom, 25th percentile) and quartile 3 (75th percentile), whiskers as minimum (quartile 1 − 1.5 × interquartile range) and maximum (quartile 3 + 1.5 × interquartile range), median defined by the line in the box (interquartile range), mean depicted by X and outliers depicted by dots. Error bars in panels a – e indicate standard deviation from the arithmetic means (shown as respective labels).

    Journal: Nature Food

    Article Title: Plant-biomass-based hybrid seed wraps mitigate yield and post-harvest losses among smallholder farmers in sub-Saharan Africa

    doi: 10.1038/s43016-023-00695-z

    Figure Lengend Snippet: a , Yam yield in t ha −1 as influenced by W&P treatments for 2015–2018 field trials (lsd = 0.34, α = 0.01). b , Statistical data showing influence of BP–Abm, BP and FP treatments in field trials from 2015 to 2018 on population density of S. bradys per gram of yam peel at harvest and 3 months post-harvest (lsd =1.41 and 2.95, respectively, α = 0.01). c – e , Plots showing S.bradys final population (Pf) after storing tubers (produced after FP, BP and BP–Abm treatments) for 3 and 5 months in Glazoué ( c ), Savè ( d ) and Savalou ( e ) regions ( n = 3 for each treatment). Numbers 3 and 5 after each year on the x -axis labels indicate the storage time in months. Tubers collected from different sites were stored in the same yam barn, so the storability experiment was conducted in the same climatic conditions to avoid the influence on the results. f – h , Photographs showing yam tubers stored to evaluate tuber weight, quality and S. bradys population ( f ), individually labelled porous containers filled with yam tubers produced after treatment and FP ( g ) and tubers with peels removed for sampling ( h ). Data analysis in panels a and b consists of one-way ANOVA for a randomized complete block design with three treatments and five replications. Combined analysis was done as for a factorial design with three treatments (BP–Abm, BP and FP), five replications, 26 farms and 4 years with no adjustments. All data analysis was accomplished using the general linear models procedure of PC/SAS software (SAS Institute). Mean separation was done by Waller–Duncan k -ratio t -test. Boxes are bounded by quartile 1 (bottom, 25th percentile) and quartile 3 (75th percentile), whiskers as minimum (quartile 1 − 1.5 × interquartile range) and maximum (quartile 3 + 1.5 × interquartile range), median defined by the line in the box (interquartile range), mean depicted by X and outliers depicted by dots. Error bars in panels a – e indicate standard deviation from the arithmetic means (shown as respective labels).

    Article Snippet: All data analysis was accomplished using the General linear models procedure (PROC GLM) of PC/SAS software (SAS Institute, Cary, NC).

    Techniques: Produced, Sampling, Blocking Assay, Software, Standard Deviation