TY - GEN
T1 - An alternative approach to the actual Brazilian maize crop zoning
AU - De Sousa Paixao, Jessica
AU - De Andrade, Camilo De Lelis Teixeira
AU - Garcia Y Garcia, Axel
AU - Amaral, Tales Antônio
AU - Neto, Antonio Jose Steidle
AU - Marin, Fabio Ricardo
AU - Alves, Maria Emilia Borges
AU - Silva, Denise Freitas
AU - Rodrigues, Celina Candida Ferreira
AU - Teixeira, Talita Coutinho
PY - 2013
Y1 - 2013
N2 - Maize produced under rainfed conditions is a common practice in Brazil. Crops under this production system are highly affected by the inherent annual and intra-seasonal weather variability, especially dry spells, that affect productivity. One of the simplest strategies with virtually no cost to mitigate this problem is the determination of a sowing window that minimizes the negative effects of weather variability on rainfed agriculture. The objectives of this study were to: a) use the results of maize yield simulated with a process-based model to establish sowing windows and, b) compare our results with the current methodology employed by the Brazilian Ministry of Agriculture (MAPA). The CSM-CERES-Maize model of the Decision Support System for Agrotechnology Transfer (DSSAT) was used to simulate scenarios of weekly sowing dates, under rainfed conditions, for selected counties of Minas Gerais State, Brazil. For each sowing date it was determined the yield break by comparing the average yield of the current sowing date with the highest average yield obtained from all sowing dates. Thus, each sowing date was associated with a risk of yield loss. The use of simulated yield break data to establish sowing windows produced consistent results. The sowing windows obtained from the simulations were slightly different from those proposed by MAPA. The use of process-based models to simulate crop yield allows for the integration of many factors not considered in the current crop zoning approach used by MAPA. The proposed approach has advantages over the MAPA methodology in that it includes the possibility of determining the expected average yield and its amplitude.
AB - Maize produced under rainfed conditions is a common practice in Brazil. Crops under this production system are highly affected by the inherent annual and intra-seasonal weather variability, especially dry spells, that affect productivity. One of the simplest strategies with virtually no cost to mitigate this problem is the determination of a sowing window that minimizes the negative effects of weather variability on rainfed agriculture. The objectives of this study were to: a) use the results of maize yield simulated with a process-based model to establish sowing windows and, b) compare our results with the current methodology employed by the Brazilian Ministry of Agriculture (MAPA). The CSM-CERES-Maize model of the Decision Support System for Agrotechnology Transfer (DSSAT) was used to simulate scenarios of weekly sowing dates, under rainfed conditions, for selected counties of Minas Gerais State, Brazil. For each sowing date it was determined the yield break by comparing the average yield of the current sowing date with the highest average yield obtained from all sowing dates. Thus, each sowing date was associated with a risk of yield loss. The use of simulated yield break data to establish sowing windows produced consistent results. The sowing windows obtained from the simulations were slightly different from those proposed by MAPA. The use of process-based models to simulate crop yield allows for the integration of many factors not considered in the current crop zoning approach used by MAPA. The proposed approach has advantages over the MAPA methodology in that it includes the possibility of determining the expected average yield and its amplitude.
KW - Climate risk
KW - DSSAT
KW - Modeling
KW - Sowing window
KW - Zea mays L.
UR - http://www.scopus.com/inward/record.url?scp=84881653832&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84881653832&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84881653832
SN - 9781627486651
T3 - American Society of Agricultural and Biological Engineers Annual International Meeting 2013, ASABE 2013
SP - 2205
EP - 2220
BT - American Society of Agricultural and Biological Engineers Annual International Meeting 2013, ASABE 2013
PB - American Society of Agricultural and Biological Engineers
T2 - American Society of Agricultural and Biological Engineers Annual International Meeting 2013
Y2 - 21 July 2013 through 24 July 2013
ER -