The interaction of genotype by environment challenges material selection for specific regions. The GGE biplot methodology proves to be effective in detecting and addressing this complexity. This study evaluated the performance of eight maize hybrids in three locations in the North/Northwest of Rio de Janeiro during the winter 2021-2021 and summer 2021-2022 crop seasons. The results were subjected to analysis of variance and Tukey's test, and the GGE biplot analysis, performed represented more than 80% of the total variation. Commercial hybrids (single and double) were more productive and more. adaptable. In contrast, UENF interpopulation hybrids presented lower productivity but higher stability, with lower-cost seeds and being more accessible, especially for producers in the North/Northwest regions of Rio de Janeiro, also becoming the most suitable. The results highlight the importance of stability and adaptability in the selection of cultivars for common corn. The use of UENF hybrids is recommended to optimize production in the region, with the GGE biplot method showing effectiveness in identifying the best genotypes, indicating that the productivity results are consistent with the proportion of heterosis explored, demonstrating that simple hybrids are the most productive, followed by double and interpopulational hybrids.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11814300 | PMC |
http://dx.doi.org/10.1038/s41598-025-89416-z | DOI Listing |
Understanding crop performance across diverse agro-ecologies is crucial for developing region-specific breeding strategies. This multi-location study examined the impact of diverse environments on crop eco-phenology and genotype-by-environment interactions (GEI) of tall-type field pea breeding lines. Empirical methods were employed to identify strategic locations that support higher yields and unique genotypic traits.
View Article and Find Full Text PDFBMC Plant Biol
March 2025
Department of Biotechnology, Agricultural College and Research Institute, Tamil Nadu Agricultural University, Madurai, Tamil Nadu, 625104, India.
Red sorghum, a versatile crop with high nutritional and biochemical value, was evaluated for agronomic and grain quality traits using 27 genotypes across diverse environmental zones of Tamil Nadu. The data collected were subjected to Additive Main Effects and Multiplicative Interaction (AMMI) and Genotype-by-Environment Interaction (GGE) biplot models to recommend a specific genotype for the particular locality. The analysis of variation of the pooled data revealed a significant interaction effect between genotype and environment for the majority of the examined traits.
View Article and Find Full Text PDFFront Plant Sci
February 2025
College of Agronomy, Qingdao Agricultural University, Qingdao, China.
Introduction: Winter wheat is a crucial crop extensively cultivated in northern China, where its grain yield is influenced by genetic factors (G), environmental conditions (E), and their interactions (GEI). Accurate yield estimation depends on understanding the patterns of GEI in multi-environment trials (METs).
Methods: From 2014 to 2018, continuous experiments were conducted in the Heilonggang region of the North China Plain (NCP), evaluating 71 winter wheat genotypes across 16 locations over five years.
Heliyon
February 2025
ICAR-Indian Institute of Pulses Research, Kanpur, 208024, Uttar Pradesh, India.
A comprehensive understanding of crop responses to diverse environments is essential for designing efficient breeding programs. Currently, such insights are lacking for large-seeded lentils under Indian climatic conditions. Given that, this study aimed to assess the impacts of diverse climatic conditions on phenological developments and yield of large-seeded lentils.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!