Genetic and phenotypic parameters associated with soybean progenies in a recurrent selection program
| Autor: | Igor Oliveri Soares, Adriano Teodoro Bruzi, Gabriel de Siqueira Gesteira, Scheila Roberta Guilherme, Mariane Cristina Bianchi, Karina Barroso Silva, Silvia R. Cianzio |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
gain from selection
correlated response food and beverages Recurrent selection Heritability Biology heritability Genetic correlation Crop Horticulture Point of delivery plant breeding General Earth and Planetary Sciences Grain yield Glycine max (L.) Merrill Plant breeding Agronomy and Crop Science Selection (genetic algorithm) Biotechnology General Environmental Science |
| Zdroj: | Crop Breeding and Applied Biotechnology, Volume: 20, Issue: 4, Article number: e28092046, Published: 11 DEC 2020 Crop Breeding and Applied Biotechnology v.20 n.4 2020 Crop Breeding and Applied Biotechnology Sociedade Brasileira de Melhoramento de Plantas instacron:CBAB |
| Popis: | The aim of this study was to estimate genetic and phenotypic parameters associated with progenies from the recurrent selection program for grain yield in soybean. The evaluation of S0:1 progenies was in Lavras in the 2015/2016 crop year. The S0:2 progenies were evaluated in Lavras, Nazareno, and Itutinga. The S0:3 progenies were evaluated in Lavras, Ijaci, and Itutinga in the following crop years. The following traits were evaluated: days to flowering, days to full maturity, bottom pod height, plant height, lodging, and grain yield. The expected gain and gain achieved from selection, genetic correlation, and correlated response were estimated. The variance components show variability among the progenies. It was possible to obtain gains from selection for grain yield for all selection intensities (1, 5, 10, 15, 20, 25, and 30%). The variability and the high performance of the progenies indicate that implementation of the recurrent selection program can be successful. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|