Surūsh javān., Journal Year: 2024, Volume and Issue: 16(4), P. 37 - 50
Published: Nov. 1, 2024
Language: Английский
Journal of Crop Improvement, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 23
Published: Jan. 18, 2025
Language: Английский
Citations
0
Agronomy, Journal Year: 2025, Volume and Issue: 15(3), P. 704 - 704
Published: March 14, 2025
The accumulation of sugar beet (Beta vulgaris L.) root yield across Central and Eastern Europe typically occurs mostly from July to September but can vary substantially depending on precipitation patterns. When summer rainfall is insufficient, the period intensive may be delayed, often affecting technological quality roots. Conversely, as light thermal conditions deteriorate in autumn, growth processes slow down, each cultivar’s response late-season vary. To investigate these dynamics, we examined nine cultivars (Zeltic, Pacific, Mariza, Everest, BTS 2205N, Jaromir, Jantar, Eliska KWS, Klara) under three harvest dates (8–10 September—first date; 7–8 October—second 3–5 November—third date) during 2020–2021 growing seasons. Both cultivar timing had a significant impact yield, sucrose content, concentrations molasses-forming elements (K, Na, α-amino N), though magnitude effects strongly depended weather conditions. In 2020, which was characterized by very high June August, harvesting early resulted optimal for most cultivars, with no benefit delaying harvest. However, 2021, when moderate more evenly distributed, later enhanced both content several (e.g., KWS Jantar). Among all tested, consistently demonstrated content. roots influenced study year. average water availability, high, led an increase while reducing contrast, rainfall, effect date traits significantly weaker largely dependent cultivar. These findings underscore that choosing highly site- season-dependent, shaped distribution, temperatures, genotype. practical terms, results help producers processors align schedules local optimize quality.
Language: Английский
Citations
0
Ciência e Agrotecnologia, Journal Year: 2025, Volume and Issue: 49
Published: Jan. 1, 2025
ABSTRACT Sorghum (Sorghum bicolor L. Moench) has significant potential as a raw material in the bioenergy sector. Consequently, sorghum breeding programs have focused on developing cultivars with agronomic, chemical, and industrial traits most suitable for biofuel production adaptable to diverse climate conditions. This study aimed evaluate adaptability stability of sweet genotypes intended using Genotype by Environment (GGE) biplots select adapted stable. The experiments were conducted across six environments located Jaguariúna/SP, Nova Porteirinha/MG, Planaltina/DF, Sete Lagoas/MG, Sobral/CE, Vilhena/RO. Twenty-five assessed randomized complete block design three replications, plots consisting two 5-m rows. Tons stalks per hectare (TSH) (t ha-1), total soluble solids (TSS) (°Brix), tons Brix (TBH) ha-1) analyzed analysis variance, GGE biplots, Scott-Knott test. We found differences (p<0.01) genotype, environment, genotype×environment interactions. effective discriminating their representativeness Vilhena, Planaltina, Lagoas TSS; Vilhena TSH; Porteirinha, TBH. Considering all traits, well stability, best performance CMSXS5042, CMSXS5022, CMSXS5040, CMSXS5041. Therefore, successfully identified adapted, stable, promising production.
Language: Английский
Citations
0
Agronomy, Journal Year: 2025, Volume and Issue: 15(4), P. 901 - 901
Published: April 3, 2025
The high yield potential and stability of hybrid japonica rice varieties are crucial for sustainable agricultural development food security. Rice must undergo rigorous testing through multi-site regional trials before being introduced to the market in China. assessment these is essential guiding breeding. In this study, we evaluated performance 13 genotypes (g1–g13) across six trial sites (e1–e6) Jiangsu province, Variance analysis revealed that genotype (G), environment (E), genotype-by-environment (G × E) interactions significantly influenced varieties. effects G E on tested were further analyzed using Genotype plus Genotype-by-Environment interaction (GGE) biplot additive main multiplicative (AMMI) model analyses. results reveal Zhegengyou2035 (g4) Changyou20-2 (g3) exhibited superior stability, while Huazhongyou9413 (g12) broad adaptability. Additionally, discrimination representativeness among Wujin Research Institute (e6) served as an optimal location. Our findings identify most suitable area assess their initial material selection processes breeding new work contributes strategic locations.
Language: Английский
Citations
0
Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: July 11, 2024
Abstract This research assessed the quantitative and qualitative reactions of commercially grown sugar beets to four different harvest dates their yield stability. The study followed a split-plot design within randomized complete block over 3 years. main plot involved 10 beet cultivars, while subplot dates: August 13 (HD 1 ), September 7 2 October November 12 4 ). found that environmental conditions, genotypes, significantly affected various traits beet. Yearly variations interactions with genotypes had substantial impacts on all measured at 1% probability level. Additive effect multiplicative interaction analysis based white indicated genotype environment's additive effects, as well genotype–environment interaction, were significant Shokoufa Arya, which exhibit high (WSY) low first principal component (IPC ) values, are identified desirable due stability across environments. Among in years, fourth third showed higher than total average. Perfekta Ekbatan exhibited specific adaptability. According multi-trait index, Arta, Arya Sina recognized stable superior traits.
Language: Английский
Citations
2
Applied Sciences, Journal Year: 2024, Volume and Issue: 14(15), P. 6665 - 6665
Published: July 30, 2024
Yield and stability are desirable characteristics that crops need to have high agronomic value; sugarcane stands out globally due its diverse range of products by-products. However, genotype-environment (G × E) interactions can affect the overall performance a crop. The objective this study is identify genotypes with highest yield stability, as well understand their independent interactive effects. A collection 10 varieties was evaluated, including Colombian, Dominican, Ecuadorian lines, group clones planted across five different locations from 2018 2020. two-way ANOVA along GGE biplot technique were used analyze stability. model shows highly significant effects in all cases (p < 0.001) except for genotype by year sector interaction Y S); however, decomposition sectors reveals triple 04 0.05). accounted up 74.77% total variance explained PC1 PC2 components. It also highlighted having environmental instability, EC-07 EC-08 best yield-stability relationship. We conclude combined results models provide more synergistic effective evaluation varieties, offering theoretical practical bases decision-making selection specific varieties.
Language: Английский
Citations
1
CABI Agriculture and Bioscience, Journal Year: 2024, Volume and Issue: unknown
Published: Aug. 29, 2024
Abstract Maize is an important cereal crop which ranks second in production after rice Nepal with increasing demand for livestock and poultry ration but declining production. This experiment was conducted to screen top- stable yielding maize hybrids various agroecological zones of during the spring season. In this study, nine genotypes were evaluated across six environments randomized complete block design three replications. The additive main effect multiplicative interaction (AMMI) ANOVA revealed that environment, genotype, their had a substantial on grain yield all five principal components (PCs) significantly different (P < 0.0001). AMMI stability value Rampur composite Kanchan 101 most environments. specific adaptation genotype as explained by Which-won-where model suggest Godavari environment E2, Rajkumar E4 E5, Bisco gold 941 E1, E3 E6 winning genotypes. Furthermore, mean-versus-stability above average greater stability. addition, biplot analysis 78.32% variation PC1 11.41% PC2 effect. ranking based close ideal line Sano ghogha at greatest distance. Conclusively, (GGE) explicates has both high zones. future research multi-year trial emphasis other agronomic traits assess priorities development package practices maximizing recommended.
Language: Английский
Citations
1
PeerJ, Journal Year: 2024, Volume and Issue: 12, P. e18624 - e18624
Published: Nov. 29, 2024
Background Enhancing maize grain yield in tropical regions faces significant challenges due to variability agroclimate, soil conditions, and agroecosystems. Understanding genotype (G) by environment (E) interaction (GEI) plant breeding is crucial for selecting developing high-yielding genotypes adapted diverse environments. Methods Ten hybrids, including eight candidates two commercial varieties, were evaluated across ten environments Indonesia using a randomized complete block design with three replications. The GEI effect stability assessed statistics, additive main effects multiplicative model (AMMI), + × (GGE) biplot methods. Results Discussion Analysis of variance revealed effect, indicating differences hybrid responses (GY), allowing analysis. G01 showed the highest GY based on best linear unbiased prediction (BLUP) Correlation analysis indicated strong associations between statistics ( YS i S (6 ) GY, aiding selection hybrids. integration AMMI BLUP method, weighted average absolute scores (WAASB), enabled precise measurement stability. Overall, (R0211), G04 (R0105), G05 (R0118), G07 (R0641) emerged as high-yielding, stable hybrids AMMI, GGE biplot, WAASB rankings. These offer promising genetic improvement programs regions.
Language: Английский
Citations
1
Surūsh javān., Journal Year: 2024, Volume and Issue: 16(4), P. 37 - 50
Published: Nov. 1, 2024
Language: Английский
Citations
0