Optimum environment number for the national sunflower trials network

Luiza Barbosa Matta,Alberto Donizete Alves,Claudio Guilherme Portela Carvalho,Cosme Damião Cruz,Iara Gonçalves Santos,Aluisio Brigido Borba Filho

doi:10.4025/actasciagron.v42i1.42792

Luiza Barbosa Matta, Alberto Donizete Alves + Show 4 more

Open Access

https://doi.org/10.4025/actasciagron.v42i1.42792

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Abstract

This work aimed to present the optimum environment number methodology and propose the optimization of the National Sunflower Trials Network, by means of the environments exclusion that do not provide loss of the environmental variability already established. Grain and oil yield data of 16 genotypes evaluated at 16 environments of the National Sunflower Trials Network, obtained from trials conducted out-of-season in 2012 and 2013 were used. An analysis was proposed to establish the optimum environment number for genotypes evaluation, based on genotype performance in the various environmental combinations. The removal or maintenance of environments in the experimental network was dynamic, since different environmental combinations impacted the representativeness of the complete network in a different way. This analysis also provides a graphical view of the impact of the environment removal from the network. Once detected points below the established correlation, the researcher could infer about the network minimum environment number and, suggest through consistent information of several testing years, the environment exclusion.

Highlights

The main objectives of sunflower breeding are related to obtaining stable cultivars with higher grain and oil yield for use in the production of feed and oil extraction for human consumption (Nobre, Resende, Brandão Junior, Costa, & Morais, 2012)
In Brazil, hybrids and sunflower varieties developed in different programs have been evaluated for grain and oil yield by the National Sunflower Trials Network, coordinated by Embrapa
In addition to the environmental stratification, we proposed an analysis to establish the optimum environment number, aiming at a greater use of resources in an experimental network

Summary

Introduction

Considered as one of the most important oil plants in the world, more than 90% of its oil production is destined for human consumption (Jocic, Miladinovic, & Kaya, 2015). The main objectives of sunflower breeding are related to obtaining stable cultivars with higher grain and oil yield for use in the production of feed and oil extraction for human consumption (Nobre, Resende, Brandão Junior, Costa, & Morais, 2012). The network established in different Brazilian states, investigates the interaction between genotypes and environments (G x E interaction) and enables the recommendation of adapted genotypes to the different regions. Selection and recommendation of adapted genotypes to the producing regions, tends to increase the success of the crop, providing greater economic return (Porto, Carvalho, Pinto, Oliveira, & Oliveira, 2009)

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