Yield simulation for maize production maximization in the State of Goiás, Brazil, by using the Ceres-Maize model.

Enter multiple e-mails separated by comma.

imagem

Author(s): SOUZA, L. F. de; HEINEMANN, A. B.; SENTELHAS, P. C.

Summary: The aim of this study was to determine the best cultivar and sowing date to be use for maize in state of Goiás, to maximize the maize grain yield. It was used the Cropping System Model (CSM)-CERES-Maize, part of the DSSAT (Decision Support System for Agrotechnology Transfer) for yield simulation of two cultivars (DAS CO32 and DKB 333B) for seven sowing dates (01/11, 10/11, 20/11, 01/12, 10/12, 20/12 and 30/12), for eight locations in the state of Goiás. The meteorological data were obtained from SECTEC/SIMEHGO weather stations, for periods ranging from 5 to 27 years. The decision criteria used were the yield variability between the sowing dates, comparison of exceedance probability for yield and percentage of yield reduction due to water deficiency. The results showed that the highest simulated yield for the state of Goiás was obtained for DAS CO32 cultivar, for the sowing date of 10/12. This sowing date also showed the lowest percentage of yield reduction.

Publication year: 2011

Types of publication: Paper in annals and proceedings

Observation

Some of Embrapa's publications are published as ePub files. To read them, use or download one of the following free software options to your computer or mobile device. Android: Google Play Books; IOS: iBooks; Windows and Linux: Calibre.

 


Access other publications

Access the Agricultural Research Database (BDPA) to consult Embrapa's full library collection and records.
Visit Embrapa Bookstore to purchase books and other publications sold by Embrapa.