scholarly journals Influence of Row Spacing on Root Yield and Yield Components of Fodder Beet (Beta vulgaris var. crassa Mansf.) in the Black Sea Coastal Region

2005 ◽  
Vol 11 (2) ◽  
pp. 1 ◽  
Author(s):  
ALBAYRAK Sabahattin;ÇAMAŞ
Keyword(s):  
Beta Vulgaris ◽  
Black Sea ◽  
Yield Components ◽  
Coastal Region ◽  
The Black Sea ◽  
Row Spacing ◽  
Root Yield ◽  
Fodder Beet ◽  
Yield And Yield Components

scholarly journals Influence of Plant Density and Nitrogen Fertilizer Rates on Yield and Yield Components of Beetroot (Beta vulgaris L.)

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Zerihun Sinta ◽  
Gezahegn Garo
Keyword(s):  
Beta Vulgaris ◽  
Nitrogen Fertilizer ◽  
Yield Components ◽  
Plant Density ◽  
Production Costs ◽  
Root Yield ◽  
Marginal Rate ◽  
Yield And Yield Components ◽  
Plant Densities ◽  
Fertilizer Rates

Ethiopia is endowed with diverse agroecologies suitable for the production of tropical, subtropical, and temperate vegetables. Agronomic practices such as plant density and fertilizer management are known to affect the crop environment, which influences the growth and ultimately the yield. So far limited research has been done on plant density determination and rate of nitrogen fertilizer in Ethiopia in general and the study area in particular. Thus, this experiment was carried out to evaluate the influence of plant density and nitrogen fertilizer rates on the yield and yield components of beetroot (Beta vulgaris L.). Four plant densities (133 333, 100 000, 80 000, and 66 666 plants per hectare) and four nitrogen (N) fertilizer rates (0, 46, 92, and 138 kg N ha−1) were arranged in a factorial combination in a randomized complete block design with three replications. The results revealed that the main and interaction effects of plant density and nitrogen fertilizer rates on total root yield, root length, root fresh weight, root diameter, and total soluble solute of beetroot were significant. The highest root yield of beetroot was achieved from the combination of 66 666, 80 000, and 10 0000 plant ha−1 with 92 kg N ha−1, whereas the lowest root yield of beet was obtained from the combination of 0 kg N ha−1 with a planting density of 133 333 plants ha−1. The economic analysis showed that higher net benefit and marginal rate of return were obtained from the application of 92 kg N ha−1 with plant densities of 66 666 plants ha−1. In order to prevent excessive production costs, the use of 66 666 plants ha−1 combined with the application of 92 kg N ha−1 is recommended.

scholarly journals Fodder Beet (Beta Vulgaris Var Crassa) Yield and Quality Attributrs As Affected By Nitrogen Fertilization and Foliar Boron Application

2020 ◽  
pp. 1-6
Author(s):  
Entessar Al-Jbawi ◽  
◽  
Faddi Abbas ◽  
Keyword(s):  
Nitrogen Fertilization ◽  
Yield Components ◽  
Dry Matter ◽  
Foliar Application ◽  
Dry Matter Yield ◽  
Root Yield ◽  
Fodder Beet ◽  
Fertilization Rates ◽  
Yield And Quality ◽  
Scientific Agriculture

A field experiment was conducted during two seasons 2018/2019 and 2019/2020 at Homs Agriculture Research Center, General Commission for Scientific Agriculture Researches (GCSAR), Syria, to study the effect of nitrogen fertilization rates and foliar application of boron on root yield and quality and dry matter yield of fodder beet. Results showed that the effect of nitrogen fertilization was significant (p≤0.001) for all studied traits except brix%. The effects were significant positive on root, shoot and biological yields, sucrose percentage, root, shoot and total dry matter yields. On the other hand the effect of boron spraying was presented for each season separately, because the differences of boron treatments were significant for all parameters except brix% at each season, and HI at the two seasons, while the differences of years were significant for all parameters except for HI. the highest yield and yield components were achieved by adding 300 kg N/ha with the addition of boron under Homs governorate conditions.

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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