scholarly journals Effect of nitrogen rate and intra-row spacing on yield and yield components of maize at Bako, Western Ethiopia

2020 ◽  
Vol 16 (10) ◽  
pp. 1464-1471
Author(s):  
Golla Begizew ◽  
Mintesnot Adugnaw ◽  
Getachew Merkeb
Keyword(s):  
Yield Components ◽  
Row Spacing ◽  
Nitrogen Rate ◽  
Yield And Yield Components ◽  
Western Ethiopia

scholarly journals Calibration and test of the cropgro-dry bean model for edaphoclimatic conditions in the savanas of Central Brazil

2002 ◽  
Vol 59 (4) ◽  
pp. 723-729 ◽  
Author(s):  
Elza Jacqueline Leite Meireles ◽  
Antonio Roberto Pereira ◽  
Paulo Cesar Sentelhas ◽  
Luis Fernando Stone ◽  
Francisco José Pfeilsticker Zimmermann
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Simulation Models ◽  
Row Spacing ◽  
Dry Bean ◽  
Area Index ◽  
Central Brazil ◽  
Yield And Yield Components ◽  
Predicted Values ◽  
Bean Crop

Simulation models are important tools for the analysis of cultivated systems to estimate the performance of crops in different environments. The CROPGRO- model (DSSAT) was calibrated and validated using Carioca bean (Phaseolus vulgaris L.) to estimate yield and the development of the crop, sown in three row spacings (0.4, 0.5, and 0.6 m) and two fertilization rates (300 and 500 kg ha-1 of 4-30-16 N-P-K), in Santo Antônio de Goiás, GO, Brazil. To calibrate the model a combination of the genetic coefficients that characterize the phenology and morphology of the dry bean crop was used to obtain the best possible fit between predicted and observed anthesis and physiological maturity dates, leaf area index (LAI), total dry matter (TDM), yield components, and grain yield for the 0.6 m row spacing. To test the model the experimental records of the 0.4 and 0.5 m row spacings were used. In both, calibration and test, the performance of the model was evaluated plotting observed and predicted values of LAI and TDM versus time, using the r², and the agreement index (d) as statistical criteria. In relation to yield and yield components the percent difference between the observed and predicted data was calculated. The model appeared to be adequate to simulate phenology, grain yield and yield components for the Carioca bean cultivar, related to different levels of fertilization and row spacing, either during calibration or the testing phase. During the test, the grain yield was overestimated by less than 15.4%, indicating a potential use for the calibrated model in assessing climatic risks in this region.

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