Comparison of Pearson’s and Spearman’s correlation coefficients for selected traits of Pinus sylvestris L. DOI Open Access
Jan Bocianowski, Dorota Wrońska–Pilarek, Anna Krysztofiak‐Kaniewska

et al.

Biometrical Letters, Journal Year: 2024, Volume and Issue: 61(2), P. 115 - 135

Published: Dec. 1, 2024

Abstract The Spearman rank correlation coefficient is a non-parametric (distribution-free) statistic proposed by Charles as measure of the strength relationship between two variables. It monotonic that used when distribution data makes Pearson’s undesirable or misleading. not linear assesses how well an arbitrary function can describe variables, without making any assumptions about frequency Unlike product-moment (linear) coefficient, it does require assumption variables linear, nor be measured on interval scales; applied to at ordinal level. purpose this study compare values and Spearman’s their statistical significance for six morpho-anatomical traits Pinus sylvestris L. (original – ranked coefficient) estimated from all observations, object means (for trees), medians. results show coefficients are consistent (as direction strength). In cases divergence in correlation, were statistically significant, which imply consistency decision-making. Estimation based medians robust outlier observations factors then very similar correlation.

Language: Английский

Genotype by year interaction and additive and epistasis gene effects for Fusarium stalk rot resistance in doubled haploid lines of maize (Zea mays L.) DOI
Jan Bocianowski, Kamila Nowosad, Dariusz Zalewski

et al.

Journal of Applied Genetics, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 14, 2025

Language: Английский

Citations

0
Influence of Genotype × Environment Interaction on Yield Stability of Maize Hybrids with AMMI Model and GGE Biplot DOI Creative Commons

Chenyu Ma,

Chaorui Liu,

Zhilan Ye

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(5), P. 1000 - 1000

Published: May 9, 2024

Maize yields perform differently in different environments, so the selection of suitable genotypes diverse environments is essential for variety to enable better site-specific planting. Hence, objective study was estimate productivity 11 maize hybrids (G) 10 (E) and select high-yield stable varieties adaptive cultivation 2022 2023. The combined analysis variance showed that G (4%), E (50%), their interaction (31%) had a significant effect (p < 0.01) on yield, with factors contributing most. In addition, average yield ranged from 9398 kg/ha 10,574 kg/ha, ZF-2208 DY-519 performed relatively well both years. AMMI model DY-213, DY-605, high production 2022, whereas it ZF-2209 LX-24 “W-W-W” biplot JG-18 were optimal ZF-2210 “mean vs. stability” indicated JG-18, DY-213 (in 2022) ZF-2208, LX-24, 2023) varieties. Additionally, discrimination representative ranking reflected BinChuan ShiDian GengMa YongSheng ideal test environments. conclusion, DY-519, could be used promotion. Moreover, BinChuan, ShiDian, GengMa, selecting Therefore, GGE can complement each other comprehensive evaluation yield. this way, excellent stability selected, which promote popularization shorten breeding process.

Language: Английский

Citations

3
Comparison of Pearson’s and Spearman’s correlation coefficients values for selected traits of Pinus sylvestris L. DOI Creative Commons
Jan Bocianowski, Dorota Wrońska–Pilarek, Anna Krysztofiak‐Kaniewska

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: May 15, 2024

Abstract The Spearman rank correlation coefficient is a non-parametric (distribution-free) statistic proposed by Charles as measure of the strength relationship between two variables. It monotonic that used when distribution data makes Pearson's undesirable or misleading. not linear assesses how well an arbitrary function can describe variables, without making any assumptions about frequency Unlike product-moment (linear) coefficient, it does require assumption variables linear, nor be measured on interval scales; applied to at ordinal level. purpose this study compare values and Spearman's their statistical significance for six Pinus sylvestris L. traits (original – ranked coefficient) estimated from all observations, object means (for trees) medians. results show coefficients are consistent (as direction strength). In cases divergence in correlation, were statistically significant, which imply consistency decision-making. Estimation based medians robust outlier observations factors then very similar correlation.

Language: Английский

Citations

3
Synthesis and molecular structure exploration of novel piperidin-4-one imine derivatives combined with DFT and X-ray: A new class of antioxidant and anti-inflammatory agents DOI Creative Commons

Rubina Siddiqui,

Sana Shamim, Shamim Akhter

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(15), P. e35122 - e35122

Published: July 26, 2024

Language: Английский

Citations

3
Genotype by year interaction for selected traits in sweet maize (Zea maize L.) hybrids using AMMI model DOI Creative Commons
Jan Bocianowski, H. Waligóra, L. Majchrzak

et al.

Euphytica, Journal Year: 2024, Volume and Issue: 220(6)

Published: May 15, 2024

Abstract This study investigated genotype × environment interactions for the stability of expression four productivity traits (cobs yield, cobs I class trade share, lend and fulfilment cobs) sweet maize hybrids ( Zea mays L.). The additive main effects multiplicative interaction (AMMI) model was employed to assess interaction. AMMI value used evaluate both genotype. selection index calculated each hybrid, incorporating average trait index. Ten were evaluated: Golda, GSS 1453, 3071, 5829, 8529, Overland, Noa, Shinerock, Sindon, Tessa. Trials ran conducted over vegetative seasons at a single location in Wielkopolska region using replicated field experiments. revealed significant genotypic environmental all analyzed traits. Based on their superior favorable values, Golda cultivar 3071 hybrid are recommended further breeding program inclusion.

Language: Английский

Citations

2
Genotype-environment interaction for grain yield in maize (Zea mays L.) using the additive main effects and multiplicative interaction (AMMI) model DOI Creative Commons
Jan Bocianowski, Kamila Nowosad,

Dariusz Rejek

et al.

Journal of Applied Genetics, Journal Year: 2024, Volume and Issue: 65(4), P. 653 - 664

Published: Aug. 8, 2024

Abstract Genotype-environment interaction consists of the different response individual genotypes resulting from changing environmental conditions. Its significance is a phenomenon that makes breeding process very difficult. On one hand, breeder expects stable genotypes, i.e., yielding similarly regardless other selecting best for each region key challenges breeders and farmers. The aim this study was to evaluate genotype-by-environment grain yield in new maize hybrids developed by Plant Breeding Smolice Co. Ltd., utilizing additive main effects multiplicative (AMMI) model. investigation involved 69 ( Zea mays L.) hybrids, tested across five locations randomized complete block design with three replications. Grain varied 8.76 t ha –1 (SMH_16417 Smolice) 16.89 (SMH_16043 Płaczkowo), mean 13.16 . AMMI analysis identified significant genotype, environment, their on yield. Analysis variance indicated 25.12% total variation due environment factor, 35.20% genotypic differences, 21.18% genotype interactions. Hybrids SMH_1706 SMH_1707 are recommended further programs high stability superior average

Language: Английский

Citations

2
Comparison of Pearson’s and Spearman’s Correlation Coefficients Values for Selected Traits of <em>Pinus sylvestri</em>s L. DOI Open Access
Jan Bocianowski, Dorota Wrońska–Pilarek, Anna Krysztofiak‐Kaniewska

et al.

Published: Dec. 21, 2023

The Spearman rank correlation coefficient is a non-parametric (distribution-free) statistic proposed by Charles as measure of the strength relationship between two variables. It monotonic that used when distribution data makes Pearson&#039;s undesirable or misleading. not linear assesses how well an arbitrary function can describe variables, without making any assumptions about frequency Unlike product-moment (linear) coefficient, it does require assumption variables linear, nor be measured on interval scales; applied to at ordinal level. purpose this study compare values (treating in quantitative way) and Spearman&#039;s same somewhat &quot;qualitative&quot; their statistical significance for six Pinus sylvestris L. traits (original – ranked coefficient) estimated from all observations, object means (for trees) medians. results show coefficients are consistent (as direction strength). In cases divergence correlation, were statistically significant, which imply consistency decision-making. Estimation based medians robust outlier observations factors then very similar correlation.

Language: Английский

Citations

3
The Use of Insecticides Viewed from a Technical View of Applications in Corn Crops: Case Study of Corn Farmer Behavior DOI Open Access
Arfan Arfan, Sri Sudewi, Mukhlis Mukhlis

et al.

Jurnal Penelitian Pendidikan IPA, Journal Year: 2024, Volume and Issue: 10(4), P. 1556 - 1563

Published: April 30, 2024

Synthetic insecticides are still used as the main solution in suppressing herbivorous insect attacks on maize at farm level. The purpose of this research is to determine and find new ways farmers use wisely through a multi-aspect approach. method sample was purposive sampling with 50 corn spread across five villages Tambulava sub-district. Primary data collection obtained by observation direct interviews using prepared semi-structured questionnaire, secondary were literature study various sources related issues. Quantitative analyzed simple tabulation (cross-tabulation analysis), while qualitative an interpretation existing phenomena. results showed that four species attacked plants Tanambulava District: Spodoptera frugiperda, Helicoverva armigera, Ostrinia furnacalis, Locusta sp. Insecticide application time local generally done morning 90%, frequency varying 1-3 times week. There 13 active insecticide ingredients District, Sigi Regency.

Language: Английский

Citations

0
Comparison of Pearson’s and Spearman’s correlation coefficients for selected traits of Pinus sylvestris L. DOI Open Access
Jan Bocianowski, Dorota Wrońska–Pilarek, Anna Krysztofiak‐Kaniewska

et al.

Biometrical Letters, Journal Year: 2024, Volume and Issue: 61(2), P. 115 - 135

Published: Dec. 1, 2024

Abstract The Spearman rank correlation coefficient is a non-parametric (distribution-free) statistic proposed by Charles as measure of the strength relationship between two variables. It monotonic that used when distribution data makes Pearson’s undesirable or misleading. not linear assesses how well an arbitrary function can describe variables, without making any assumptions about frequency Unlike product-moment (linear) coefficient, it does require assumption variables linear, nor be measured on interval scales; applied to at ordinal level. purpose this study compare values and Spearman’s their statistical significance for six morpho-anatomical traits Pinus sylvestris L. (original – ranked coefficient) estimated from all observations, object means (for trees), medians. results show coefficients are consistent (as direction strength). In cases divergence in correlation, were statistically significant, which imply consistency decision-making. Estimation based medians robust outlier observations factors then very similar correlation.

Language: Английский

Citations

0