SOWING PERIOD AND ESTIMATED MAIZE PRODUCTION FOR SILAGE UNDER TROPICAL CONDITIONS

Camilo De Lelis Teixeira De Andrade,Isabel Regina Prazeres De Souza,Rosangela Maria Simeão,Marina Luciana Abreu De Melo,Tales Antônio Amaral,Jennifer Alves Camilo

doi:10.18512/rbms2021v20e1219

Camilo De Lelis Teixeira De Andrade, Isabel Regina Prazeres De Souza + Show 4 more

Open Access

https://doi.org/10.18512/rbms2021v20e1219

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Abstract

In Brazil, livestock activity is affected by the seasonality of forage supply, which depends on the distribution of rainfall. The use of silage is one of the strategies to solve the problem during the annual dry season. The objective of this study was to use modeling to assess the productivity and quality of the maize silage in the state of Minas Gerais, Brazil. The CSM-CERES-Maize model was used to simulate maize silage production in 18 counties, at 52 sowing dates distributed throughout the year, with and without the use of irrigation. Absence of rainfall during the harvest period was also used as criterion to define the best sowing date in each county. In general, the best sowing dates were concentrated in October and February, respectively, for rainfed water supply and irrigated condition. The maize silage productivity under rainfed condition presented greater interannual variability and lower quality in comparison to that obtained under irrigated conditions. Under optimal soil-water conditions, climatic factors such as temperature and solar radiation are determinant to crop performance.

Highlights

Resumo - No Brasil, a atividade pecuária é afetada pela sazonalidade na oferta de forragem, que depende da distribuição das chuvas
The CSM-CERES-Maize model was used to simulate maize silage production in 18 counties, at 52 sowing dates distributed throughout the year, with and without the use of irrigation
The silage productivity can be influenced by crop-environment interactions reproduced in the CSM-CERES-Maize model, and by short-term local events not considered in the model, such as high-intensity rains, high wind speeds and hail (Boggione et al, 2018)

Summary

Introduction

Resumo - No Brasil, a atividade pecuária é afetada pela sazonalidade na oferta de forragem, que depende da distribuição das chuvas. O objetivo deste estudo foi empregar modelagem para avaliar a produtividade e a qualidade da silagem de milho no estado de Minas Gerais, Brasil. Empregou-se o modelo CSM-CERES-Maize para simular a produção de silagem de milho em 18 municípios, em 52 datas de semeadura distribuídas ao longo do ano, com e sem o uso de irrigação. A ausência de chuva no período de colheita foi também utilizada como critério para definir a melhor data de semeadura em cada município. In Minas Gerais, the extensive livestock production is affected by the seasonality of forage supply, which in turn depends on the distribution of rainfall. The availability of water in the soil is the most important environmental factor for maize productivity. The irregular distribution of rainfall can explain, largely, the variation in crop performance among the years (Bergamaschi & Matzenauer, 2014)

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