Selection of rice genotypes based on agronomic traits and commercial grain quality

The study aimed to select rice genotypes based on agronomic traits and commercial grain quality. The study was carried out in the 2014/15 and 2015/16 harvests in eight growing environments, located in the state of Rio Grande do Sul, Brazil. Fourteen rice genotypes were sown in each environment. The experiment was conducted in a randomized block design with four replications. The following agronomic traits were evaluated: number of days to flowering and grain yield as well as commercial grain quality traits: percentage of whole grains and percentage of chalky area in the grains. AMMI, GGE and MGIDI methodologies were used to select the best performing genotypes. Using the AMMI, GGE and MGDI methods, genotypes G9 and G1 performed close to the ideal ideotype for the number of days to grain flowering, yield and quality.

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Publication Details

Journal
Revista Thema
Published
2024-10-17
DOI
https://doi.org/10.15536/thema.v23.2024.736-751.3622
Primary Topic
Rice Cultivation and Yield Improvement
Type
article
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Selection of rice genotypes based on agronomic traits and commercial grain quality

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Selection of rice genotypes based on agronomic traits and commercial grain quality

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article en

Abstract

The study aimed to select rice genotypes based on agronomic traits and commercial grain quality. The study was carried out in the 2014/15 and 2015/16 harvests in eight growing environments, located in the state of Rio Grande do Sul, Brazil. Fourteen rice genotypes were sown in each environment. The experiment was conducted in a randomized block design with four replications. The following agronomic traits were evaluated: number of days to flowering and grain yield as well as commercial grain quality traits: percentage of whole grains and percentage of chalky area in the grains. AMMI, GGE and MGIDI methodologies were used to select the best performing genotypes. Using the AMMI, GGE and MGDI methods, genotypes G9 and G1 performed close to the ideal ideotype for the number of days to grain flowering, yield and quality.

Revista ThemaVol. 23(3)
Instituto Biológico (BR), Brazilian Agricultural Research Corporation (BR), Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul (BR), Universidade Federal de Santa Maria (BR), Empresa de Pesquisa Agropecuária de Minas Gerais (BR), Universidade Regional do Noroeste do Estado do Rio Grande do Sul (BR), Instituto Federal Farroupilha (BR)
Openalex Percentile: Top 90%
Rice Cultivation and Yield Improvement
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