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- Title
Multi-trait selection for mean performance and stability in maize.
- Authors
Olivoto, Tiago; Nardino, Maicon; Meira, Daniela; Meier, Carine; Follmann, Diego N.; de Souza, Velci Q.; Konflanz, Valmor A.; Baretta, Diego
- Abstract
There is a need to strengthen maize (Zea mays L.) breeding strategies based on multivariate selection to obtain high-yielding hybrids that are more stable and resilient to contrasting environmental conditions. Here, we show how the multi-trait stability index (MTSI) can be used to select maize hybrids for mean performance and stability of multiple traits. A set of 10 traits, including grain yield (GY), yield components, and plant-related traits with negative and positive desired selection gains (SGs), were accessed in 90 F1 hybrids conducted in multi-environment trials. Hybrid and hybrid x location interaction effects were significant (p ≤ .001) for all analyzed traits. The MTSI provided positive gains for all the four traits that were wanted to increase (2.52% ≤ SG ≤ 4.86; mean, 3.28%), including GY (SG, 4.86%), and negative gains for all the six traits that were wanted to decrease (-20.28% ≤ SG ≤ -0.09%; mean, - 6.70%), including tassel branch number (SG, -20.28%) and plant height (SG, -1.2%). We also observed desired gains for the stability of all traits. Direct and univariate selection for GY solely was not efficient to provide desired gains for all traits. The MTSI provides a unique, robust, and easy-to-handle selection process that allows identifying the strengths and weaknesses of hybrids. The index was found to be a powerful tool to develop better selection strategies, optimizing the use of resources and time, thus contributing to the sustainability of maize breeding programs worldwide.
- Subjects
CORN breeding; GRAIN yields; CORN; TIME management; SUSTAINABILITY
- Publication
Agronomy Journal, 2021, Vol 113, Issue 5, p3968
- ISSN
0002-1962
- Publication type
Article
- DOI
10.1002/agj2.20741