Chemical composition and fermentative characteristics of corn hybrids silages grown in Eastern Amazon

Northeastern Pará is characterized by pluviometric regimes above 2,000 mm, and high nocturnal temperatures. These factors may influence the phenological stages of the corn plant and consequently the quality of the silage. The objective of this study was to determine the chemical composition, fermentative characteristics, and counts of molds and yeasts of four corn hybrids silages grown in northeastern Pará. Four corn hybrids of an early cycle were used: K9105, 2B688, RB9006, K9960. The cultivation was carried out in a no-tillage system, in the municipality of Igarapé-Açu (PA), in an area of two hectares divided into four plots (one for each hybrid), with four useful areas per plot, to collect forage to be ensiled. The ensiling was done in PVC silos with capacity for 2.5 kg of forage in a density of 600 kg of MN m-3. The data were analyzed in a completely randomized design with four replicates (useful areas) per treatment (hybrids). The silos were stored for 90 days. The pH varied between 3.44 and 3.71 for the silages of the studied hybrids, being within the limits desirable for quality silage. The hybrid silage K9960 presented lower dry matter content than K9105 and 2B688 but like RB9006. It is concluded that all the hybrids studied can be used in the production of silages. It is recommended that the dry matter content of the hybrids be monitored before harvest due to differences in senescence.

Authors

Institutions

Publication Details

Journal
Revista Agro mbiente On-line
Published
2025-05-01
DOI
https://doi.org/10.18227/1982-8470ragro.v19i00.8342
Primary Topic
Crop Yield and Soil Fertility
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Chemical composition and fermentative characteristics of corn hybrids silages grown in Eastern Amazon

Nauara Moura Lage Filho, Felipe Nogueira Domingues, Rosana Ingrid Ribeiro dos Santos, Aníbal Coutinho do Rêgo et al.
Revista Agro mbiente On-line
Crop Yield and Soil Fertility
article

Chemical composition and fermentative characteristics of corn hybrids silages grown in Eastern Amazon

Nauara Moura Lage Filho, Felipe Nogueira Domingues, Rosana Ingrid Ribeiro dos Santos, Aníbal Coutinho do Rêgo, Thiago Carvalho da Silva, Larissa Lourenço de Oliveira
article en

Abstract

Northeastern Pará is characterized by pluviometric regimes above 2,000 mm, and high nocturnal temperatures. These factors may influence the phenological stages of the corn plant and consequently the quality of the silage. The objective of this study was to determine the chemical composition, fermentative characteristics, and counts of molds and yeasts of four corn hybrids silages grown in northeastern Pará. Four corn hybrids of an early cycle were used: K9105, 2B688, RB9006, K9960. The cultivation was carried out in a no-tillage system, in the municipality of Igarapé-Açu (PA), in an area of two hectares divided into four plots (one for each hybrid), with four useful areas per plot, to collect forage to be ensiled. The ensiling was done in PVC silos with capacity for 2.5 kg of forage in a density of 600 kg of MN m-3. The data were analyzed in a completely randomized design with four replicates (useful areas) per treatment (hybrids). The silos were stored for 90 days. The pH varied between 3.44 and 3.71 for the silages of the studied hybrids, being within the limits desirable for quality silage. The hybrid silage K9960 presented lower dry matter content than K9105 and 2B688 but like RB9006. It is concluded that all the hybrids studied can be used in the production of silages. It is recommended that the dry matter content of the hybrids be monitored before harvest due to differences in senescence.

Revista Agro mbiente On-lineVol. 19
Universidade Federal do Ceará (BR), Universidade Federal Rural da Amazônia (BR), Universidade Federal dos Vales do Jequitinhonha e Mucuri (BR)
Openalex Percentile: Top 88%
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.