Mega-environment analysis of maize breeding data from Brazil
| Autor: | Marcio Fernando Ribeiro de Resende Júnior, Francielly de Cássia Pereira, Magno Antonio Patto Ramalho, Renzo Garcia Von Pinho |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0106 biological sciences
genotype × environment interaction Agriculture (General) 04 agricultural and veterinary sciences Biology 01 natural sciences S1-972 Crop unbalance data Statistics Mega environment 040103 agronomy & agriculture plant breeding 0401 agriculture forestry and fisheries Variance components hybrid recommendation process variance components Plant breeding Gene–environment interaction 010606 plant biology & botany Hybrid Crop season |
| Zdroj: | Scientia Agricola, Volume: 79, Issue: 2, Article number: e20200314, Published: 17 MAY 2021 Scientia Agricola v.79 n.2 2022 Scientia Agrícola Universidade de São Paulo (USP) instacron:USP Scientia Agricola, Vol 79, Iss 2 (2021) |
| Popis: | The development and recommendation of single cross maize hybrids (SH) to be used in extensive land areas (mega-environments), and in different crop seasons requires many experiments under numerous environmental conditions. The question we asked is if the data from these multi-environment experiments are sufficient to identify the best hybrid combinations. The aim of this study was to critically analyze the phenotype data of experiments of yield, established by a large seed producing company, under a high level of imbalance. Data from evaluation of 2770 SH were used from experiments conducted over four years, involving the first and second crop seasons, in 50 locations of different years and regions of Brazil. Different types of analysis were carried out and genetic and non-genetic components were estimated, with emphasis on the different interactions of the SH with the environments. Results showed that the coincidence of common hybrids in these experiments is normally small. The estimates of the correlations between of the hybrids coinciding in the environments two by two is of low magnitude. The hybrid × crop season interaction was always expressive; however, the interactions of hybrids and other environmental variables were also important. Under these conditions, alternatives were discussed for making with the information obtained from the experiments, can be more efficient on the process to obtain new hybrids by companies. |
| Databáze: | OpenAIRE |
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