Performance of Maize Hybrids for Grain Yield Under Different Planting Arrangements

The aim of this study was to evaluate the agronomic performance of eight maize hybrids under different plant densities for grain yield in the North and Northwest regions of Rio de Janeiro State, Brazil. Maize productivity is strongly influenced by planting density, which affects light interception, resource competition, and grain yield. Understanding the optimal density for specific hybrids is essential to maximizing production under varying environmental conditions. The hybrids were evaluated in two locations (Campos dos Goytacazes and Itaocara) using four plant densities (50,000; 66,667; 83,333; and 100,000 plants ha−1). The experimental design was a randomized complete block with three replications in a split-plot arrangement. Traits evaluated included plant height, ear height, ear length and diameter, 100-grain weight, and grain yield. Planting density significantly affected ear length, ear diameter, 100-grain weight, and grain yield, with higher densities generally reducing morphological traits but increasing overall yield. No significant genotype × density interaction was detected, but some hybrids, such as UENF 506-16 and UENF 506-11, performed better at specific densities, standing out for productivity and economic return. These results indicate that increasing plant density can be an effective strategy for maximizing maize yield in the studied environments.

Authors

Institutions

Publication Details

Journal
Crops
Published
2025-12-12
DOI
https://doi.org/10.3390/crops5060090
Primary Topic
Crop Yield and Soil Fertility
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Performance of Maize Hybrids for Grain Yield Under Different Planting Arrangements

Messias Gonzaga Pereira, Vivane Mirian Lanhellas Gonçalves, INGRID GEOVANNA DE MOURA E SILVA, Jocarla Ambrozim Crevelari et al.
Crops
Crop Yield and Soil Fertility
article

Performance of Maize Hybrids for Grain Yield Under Different Planting Arrangements

Messias Gonzaga Pereira, Vivane Mirian Lanhellas Gonçalves, INGRID GEOVANNA DE MOURA E SILVA, Jocarla Ambrozim Crevelari, Renato Santa‐Catarina
article en

Abstract

The aim of this study was to evaluate the agronomic performance of eight maize hybrids under different plant densities for grain yield in the North and Northwest regions of Rio de Janeiro State, Brazil. Maize productivity is strongly influenced by planting density, which affects light interception, resource competition, and grain yield. Understanding the optimal density for specific hybrids is essential to maximizing production under varying environmental conditions. The hybrids were evaluated in two locations (Campos dos Goytacazes and Itaocara) using four plant densities (50,000; 66,667; 83,333; and 100,000 plants ha−1). The experimental design was a randomized complete block with three replications in a split-plot arrangement. Traits evaluated included plant height, ear height, ear length and diameter, 100-grain weight, and grain yield. Planting density significantly affected ear length, ear diameter, 100-grain weight, and grain yield, with higher densities generally reducing morphological traits but increasing overall yield. No significant genotype × density interaction was detected, but some hybrids, such as UENF 506-16 and UENF 506-11, performed better at specific densities, standing out for productivity and economic return. These results indicate that increasing plant density can be an effective strategy for maximizing maize yield in the studied environments.

CropsVol. 5(6)
State University of Norte Fluminense (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Division of Graduate Education
Openalex Percentile: Top 50%
Crop Yield and Soil Fertility
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.