Maize hybrid stability in environments under water restriction using mixed models and factor analysis
| Autor: | J. J. Nuvunga, Marcio Balestre, Carla Silva, Álvaro De Oliveira Santos, Luiz Paulo Miranda Pires, Lauro José Moreira Guimarães, R. G. von Pinho |
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| Rok vydání: | 2017 |
| Předmět: |
0106 biological sciences
Limiting factor Mixed model media_common.quotation_subject Biology Environment 01 natural sciences Stability (probability) Zea mays Adaptability Water deficit Genomic Instability Quantitative Trait Heritable Stress Physiological Genetics Molecular Biology media_common Hybrid Models Genetic business.industry Water stress 04 agricultural and veterinary sciences General Medicine Biotechnology Droughts Plant Breeding Agronomy 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Grain yield Hybridization Genetic business 010606 plant biology & botany |
| Zdroj: | Genetics and molecular research : GMR. 16(2) |
| ISSN: | 1676-5680 |
| Popis: | In several crops, the water deficit is perhaps the main limiting factor in the search for high yields. The objective of this study was to evaluate the phenotypic stability of maize hybrids in environments with and without water restriction using the analytical factor (AF) approach. We evaluated 171 maize hybrids in 14 environments, divided into environments with (A1, A2, A3, A4, A5, A6, and A7) and without (A8, A9, A10, A11, A12, A13, and A14) water restriction, over a period of 7 years. Each year, 36 hybrids were evaluated. A square lattice design (6 x 6) was used, with common treatments between years. The characteristics of grain yield (GY), male flowering (MF) and female flowering (FF), plant height (PH), and ear height (EH) were evaluated. Phenotypic adaptability and stability of the hybrids were also verified. Hybrids G66, G99, G86, and G26 were the most stable and showed potential for use in environments with and without water restriction. The AF models showed to be useful for evaluating hybrids over many years, allowing selection of better hybrids with adaptability, specific and general stability, and correlation of hybrids with their production components, in addition to allowing identification of mega-environments that permit stability in the response of the adapted hybrids. |
| Databáze: | OpenAIRE |
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