Back to Search Start Over

Selection of superior black oat lines using the MGIDI index.

Authors :
Klein, Luís Antônio
Marchioro, Volmir Sergio
Toebe, Marcos
Olivoto, Tiago
Meira, Daniela
Meier, Carine
Benin, Giovani
Busatto, Cleiton Antônio
Garafini, Duana Cancian
Alberti, João Vitor
Finatto, José Luiz Balansin
Source :
Crop Breeding & Applied Biotechnology. 2023, Vol. 23 Issue 3, p1-9. 9p.
Publication Year :
2023

Abstract

The objective of this work was to select black oat genotypes using the MGIDI for simultaneous selection, comparing it with the Smith-Hazel index. The experiment was carried out in Frederico Westphalen/RS and Pato Branco/ PR, in a randomized block design, with three replications, with 9 genotypes tested. Days from emergence to flowering and maturation; cutting and plant height; number of tillers; panicle length; tiller, plant, panicle, panicle seed mass, green and dry; and seed yield were obtained. MGIDI selected the genotypes UFSMFW 2-01 and UFSMFW 2-04 for Frederico Westphalen and UFSMFW 2-07 and UFSMFW 2-04 for Pato Branco, which varied compared to the Smith-Hazel index in both environments. MGIDI was efficient in selecting the best black oat genotypes, showing desirable selection gains for most traits. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15187853
Volume :
23
Issue :
3
Database :
Academic Search Index
Journal :
Crop Breeding & Applied Biotechnology
Publication Type :
Academic Journal
Accession number :
173260191
Full Text :
https://doi.org/10.1590/1984-70332023v23n3a25