This article presents a statistical analysis of the biological development phases of 90 autumn wheat varieties and samples using Stata software. The research utilizes descriptive statistics, Pearson correlation analysis, one-way ANOVA (analysis of variance), and Bonferroni post-hoc tests to identify significant differences between groups. The analyses revealed highly significant statistical variations in developmental periods across different tiers and genotypes. The findings provide a robust scientific foundation for the breeding of droughttolerant and early-maturing wheat varieties.
| Mualliflar | Hotamova, Lobar |
|---|---|
| Jurnal | O’zbekiston qishloq va suv xo’jaligi |
| Nashr sanasi | 2026-07-09 |
| Jild | 2026 |
| Son | 7 |
| Betlar | 25-27 |
| Til | O‘zbek |
autumn wheat, Stata, descriptive statistics, ANOVA, Bonferroni test, correlation, phenological phase, озимая пшеница, Stata, дескриптивная статистика, ANOVA, критерий Бонферрони, корреляция, фенологическая фаза, kuzgi bug‘doy, Stata, deskriptiv statistika, ANOVA, Bonferroni testi, korrelyatsiya, fenologik faza
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