Black Rice Performance Under Water Deficit Conditions and Genotype X Environment Interactions

Rice is a staple food grown worldwide. While white rice varieties have been extensively studied, there is limited information on the performance of pigmented rice genotypes and their tolerance to water deficit. This study evaluated nineteen black rice genotypes and one white cultivar over three years under contrasting water regimes: traditional flooding and non-flood irrigation (NFI). Genotype-environment interactions and their impact on agronomic, yield, and grain quality traits were assessed. Black genotypes under NFI showed reduced flowering and grain quality. The average yield was 31% lower than the white cultivar. Significant genetic correlations were found between grain yield and days to anthesis (DSA), grain weight (TGW), chalkiness (CHA), and translucency (TRAN), with high broad-sense heritability (H<sup>2</sup> > 0.9). Most traits exhibited high heritability (H<sup>2</sup> > 0.7), indicating strong genetic stability. Grain yield (GR) was highly and negatively correlated with percent sterility (PS) (r = -0.84) and had a heritability of 0.76. Environmental conditions significantly influenced yield, confirming the potential for selecting water stress-tolerant genotypes. These findings provide valuable insights into black rice breeding and optimizing water management practices to support sustainable production. To our knowledge, this study is the first to evaluate the performance of a diverse set of black rice genotypes across multiple seasons under contrasting water regimes in a Mediterranean environment.

Authors

Institutions

Publication Details

Journal
Plants
Published
2025-11-12
DOI
https://doi.org/10.3390/plants14223459
Citations
1
Primary Topic
Rice Cultivation and Yield Improvement
Type
article
Field-Weighted Citation Impact
1.75

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Black Rice Performance Under Water Deficit Conditions and Genotype X Environment Interactions

Miguel Garriga, Abdelhalim Elazab, Karla Cordero-Lara, Aloysha Brunet-Loredo et al.
1 citations
Plants
Rice Cultivation and Yield Improvement
1.75
article

Black Rice Performance Under Water Deficit Conditions and Genotype X Environment Interactions

Miguel Garriga, Abdelhalim Elazab, Karla Cordero-Lara, Aloysha Brunet-Loredo, Paula Careaga
article en
1 citations

Abstract

Rice is a staple food grown worldwide. While white rice varieties have been extensively studied, there is limited information on the performance of pigmented rice genotypes and their tolerance to water deficit. This study evaluated nineteen black rice genotypes and one white cultivar over three years under contrasting water regimes: traditional flooding and non-flood irrigation (NFI). Genotype-environment interactions and their impact on agronomic, yield, and grain quality traits were assessed. Black genotypes under NFI showed reduced flowering and grain quality. The average yield was 31% lower than the white cultivar. Significant genetic correlations were found between grain yield and days to anthesis (DSA), grain weight (TGW), chalkiness (CHA), and translucency (TRAN), with high broad-sense heritability (H<sup>2</sup> > 0.9). Most traits exhibited high heritability (H<sup>2</sup> > 0.7), indicating strong genetic stability. Grain yield (GR) was highly and negatively correlated with percent sterility (PS) (r = -0.84) and had a heritability of 0.76. Environmental conditions significantly influenced yield, confirming the potential for selecting water stress-tolerant genotypes. These findings provide valuable insights into black rice breeding and optimizing water management practices to support sustainable production. To our knowledge, this study is the first to evaluate the performance of a diverse set of black rice genotypes across multiple seasons under contrasting water regimes in a Mediterranean environment.

PlantsVol. 14(22)
University of Concepción (CL), Instituto de Investigaciones Agropecuarias (CL)
Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, Universidad de Concepción, Universidad de Talca, Agencia Nacional de Investigación y Desarrollo
Openalex Percentile: Top 11%
Rice Cultivation and Yield Improvement
1.75
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.