scholarly journals Effects of Plant Density and Row Spacing on Yield and Yield Components of Peanut (Arachis hypogaea L.) on the Coastal Sandy Land Area in Nghe An Province, Vietnam

Author(s):  
Tran Xuan Minh ◽  
Nguyen Cong Thanh ◽  
Tran Hau Thin ◽  
Nguyen Thi Tieng ◽  
Nguyen Thi Huong Giang

Background: Understanding the effects of different plant densities and row spacing on yield and yield components of peanut L14 is essential for designing and adjusting management practices to improve yield. Methods: Five planting densities were tested in Randomized Complete Block Design with three replications in 2019 spring crop on the coastal sandy land area in Dien Chau district, Nghe An, Vietnam. Result: The different density treatments affect the growth, development and yield of the peanut variety L14. With increasing plant density, the number of pod per plant, 100 pods weight, 100 seeds weight decreased, whereas plant height, leaf area index, dry matter production increased. Population yield increased with increasing plant density from the lowest density of 25 plants m-2 (2.78 tons ha-1), reached the highest at 35 plants m-2 (4.53 tons ha-1), then decreasing with increasing plant density. Peanut variety L14 is grown in plant densities and row spacing of 35 plants m-2 (25 cm × 25 cm) and 40 plants m-2 (25 cm × 20 cm) are most appropriate; plants grow, develop better and give a higher yield than other densities under the same conditions.

2018 ◽  
Vol 39 (1) ◽  
pp. 393
Author(s):  
Tiago Zoz ◽  
Fábio Steiner ◽  
André Zoz ◽  
Deise Dalazen Castagnara ◽  
Travis Wilson Witt ◽  
...  

Understanding the influence of row spacing and plant density on grain yield and yield components of crambe is critical in order to obtain higher grain yields. Therefore, the objective of this study was to evaluate the effects of row spacing and plant density on grain yield and its components in crambe in two distinct regions of Brazil (Marechal Candido Rondon-PR, MCR-PR, and Botucatu-SP, BTU-SP). Narrow and wide row spacing (0.20 and 0.40 m) combined with four plant densities (15, 25, 35, and 45 plants m-1) were evaluated in a randomized block layout with four replications in a 2 × 4 factorial design. The experiment at BTU-SP was run under rainfed conditions with supplementary irrigation, whereas the experiment at MCR-PR was run under rainfed conditions without supplementary irrigation. Both experiments were run in soils classified as Oxisols. There was no interaction between row spacing and plant density. Highest grain yield with supplementary irrigation was observed at 0.20 m row spacing. Without irrigation, row spacing did not affect grain yield owing to the plasticity of crop. The highest grain yield was observed with approximately 30 plants m-1 at both experimental locations. A strong negative correlation was observed between final plant population and number of grains per plant. There was high plant mortality, particularly at high plant densities cultivated under irrigation. Higher mortality occurred because of high intraspecific competition and a larger disease incidence due to the higher humidity in the irrigated experiment. A mechanism of self-adjustment by plant density was observed in crambe, with its intensity dependent on plant density and environmental conditions, such as water and nutrient availability and light incidence.


Author(s):  
L. S. Sampaio ◽  
R. Battisti ◽  
M. A. Lana ◽  
K. J. Boote

Abstract Crop models can be used to explain yield variations associated with management practices, environment and genotype. This study aimed to assess the effect of plant densities using CSM-CROPGRO-Soybean for low latitudes. The crop model was calibrated and evaluated using data from field experiments, including plant densities (10, 20, 30 and 40 plants per m2), maturity groups (MG 7.7 and 8.8) and sowing dates (calibration: 06 Jan., 19 Jan., 16 Feb. 2018; and evaluation: 19 Jan. 2019). The model simulated phenology with a bias lower than 2 days for calibration and 7 days for evaluation. Relative root mean square error for the maximum leaf area index varied from 12.2 to 31.3%; while that for grain yield varied between 3 and 32%. The calibrated model was used to simulate different management scenarios across six sites located in the low latitude, considering 33 growing seasons. Simulations showed a higher yield for 40 pl per m2, as expected, but with greater yield gain increments occurring at low plant density going from 10 to 20 pl per m2. In Santarém, Brazil, MG 8.8 sown on 21 Feb. had a median yield of 2658, 3197, 3442 and 3583 kg/ha, respectively, for 10, 20, 30 and 40 pl per m2, resulting in a relative increase of 20, 8 and 4% for each additional 10 pl per m2. Overall, the crop model had adequate performance, indicating a minimum recommended plant density of 20 pl per m2, while sowing dates and maturity groups showed different yield level and pattern across sites in function of the local climate.


2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Zerihun Sinta ◽  
Gezahegn Garo

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.


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

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.


Author(s):  
Tran Xuan Minh ◽  
Nguyen Cong Thanh ◽  
Tran Hau Thin ◽  
Nguyen Thi Huong Giang ◽  
Nguyen Thi Tieng

Background: Peanut (Arachis hypogaea L.) is one of the oil and cash crops in Vietnam. However, owing to the lack of appropriate management practices, the production and the area under cultivation of peanut have remained low. Mulches are the key factors contributing to promoting crop development and early harvest and increasing yields. Methods: The experiment consisted of three mulch treatments, viz., plastic mulch, straw mulch and no-mulch control. All the treatments were replicated thrice in a complete randomized block design. Result: In the conditions of mulch, the plant growth parameters (germination rate, growing time, plant height, number of branches per plant), leaf area index, the number of nodules per plant, dry matter accumulation, yield components and yield of peanut was much higher than that of no-mulch control. Among the mulches, plastic mulch was found superior to straw mulch in the pod yields and water-use efficiency and moisture conservation, thereby can be considered as a reliable practice for increasing the productivity of peanut on the coastal sandy land in Nghe An province, Vietnam.


2012 ◽  
Vol 40 (1) ◽  
pp. 201 ◽  
Author(s):  
Shakeel AHMAD ◽  
Mirza HASANUZZAMAN

Two field experiments were conducted for two years (2000 and 2001) at Agronomic Research Area, University of Agriculture Faisalabad (UAF), Pakistan. There were 15 treatment combinations for experiment-I having three plant densities, viz., one seedling hill-1 (PD1), two seedlings hill-1 (PD2) and three seedlings hill-1 (PD3) and five nitrogen rates, viz., 0, (N0); 50, (N50); 100, (N100); 150, (N150); and 200 (N200) kg N ha-1. Experiment-II also included 15 treatments having three plant densities, viz., one seedling hill-1 (PD1), two seedlings hill-1 (PD2) and three seedlings hill-1 (PD3) and five irrigation regimes, viz., 62.5 cm (I1), 77.5 cm (I2), 92.5 cm (I3), 107.5 cm (I4), and 122.5 cm (I5). A randomized complete block design (RCBD) was employed with three repetitions. The results for experiment-I revealed that the highest biomass (1438 g m-2), grain yield (497 g m-2), crop growth rate (15.36 g m-2 d-1), net assimilation rate (4.24 g m-2 d-1) were observed in the treatment having combination of two seedlings hill-1 and 200 kg N ha-1 (PD2N200). The agronomic and economic nitrogen and PAR use efficiencies were also higher in this treatment. In case of experiment-II, the highest biomass and grain yield were obtained in case of treatment having combination of two seedlings hill-1 and 107.5 cm irrigation regime (PD2I107.5). The irrigation application based water productivity ranged from 0.36 kg mm-3 to 0.61 kg mm-1, irrigation plus precipitation based water productivity ranged from 0.32 kg mm-3 to 0.55 kg mm-3 and evapotranspiration based water productivity ranged from 0.65 kg mm-3 to 0.84 kg mm-3 among 15 treatments combination of plant density and irrigation regimes. This study concludes that for increasing the benefits for the resource-poor growers, the integration of crop management practices is an optimum strategy to substantially increase the resources use efficiency under irrigated semiarid environment.


2011 ◽  
Vol 49 (No. 9) ◽  
pp. 422-426 ◽  
Author(s):  
H. Ozer

Rapeseed (Brassica napus L.) is an important alternate oilseed crop in eastern Anatolia, Turkey. No information on plant density for rapeseed is available in this region. Therefore a study was initiated to investigate the effects of spacings between rows and spacings within rows on the yield and agronomic characteristics of two genotypes of spring rapeseed (Tower and Lirawell) in Erzurum, eastern Anatolia, during 1994 and 1995. The effects of spacings between or within rows on the yield and yield components of Tower and Lirawell, two cultivars of Brassica napus L., were studied for 2 years inErzurum,Turkey. Rows were spaced at 15, 30 and45 cm. Spacings within rows were 5, 10 and15 cm. The results of this study suggested that seed yield was significantly affected by spacings between rows but not by spacings within rows, and that rape yields were higher at the narrow (15 cm) row spacing compared to the middle (30 cm) and wider (45 cm) spacings.


2016 ◽  
Vol 5 (03) ◽  
pp. 1304 ◽  
Author(s):  
Dr. Amanullah* ◽  
Arsalan Zahid ◽  
Asif Iqbal ◽  
Mr. Ikramullah

Deficiencies of phosphorous (P) and soil moisture are the main limiting factors under semiarid climates throughout the world. Proper tillage management could increase P and water availability and therefore crop productivity under semiaraid climates. The objective of this study was to investigate proper P and tillage management practices for improving growth, yield and yield components of maize (Zea mays L. cv Azam). The experiment was conducted under, irrigated (no moisture stress) and dryland (moisture stress) conditions at the Agronomy Research Farm of The University of Agriculture, Peshawar Pakistan during summer 2012. Experiment was laid out in randomized complete block design with split-plot arrangement having three replications under both irrigated and dryland conditions. Tillage depths (15, 30 and 45 cm) were assigned to main-plots while P levels (0, 30, 60 and 90 kg ha-1) allotted to sub-plots. Better growth and higher yield components and grain yield (3535 kg ha-1) was obtained when P was applied at the highest rate of 90 kg P ha-1 (90 > 60 > 30 > 0 kg P ha-1). Increase in tillage depths showed positive relationship with grain yield and yield components. The deep tillage depth (45 cm) produced the highest grain yield (3323 kg ha-1) while the shallow depth (15 cm) resulted in the lowest grain yield (2894 kg ha-1). Maize planted under irrigated condition had better growth, higher yield components and therefore resulted in the higher grain yield (3621 kg ha-1) as compared with maize under dryland (water stress) condition. We concluded from this study that increase in P level and tillage depth had positive effect on growth, yield components and grain yield of maize under both irrigated and dryland conditions. 


Author(s):  
Alvadi Antonio Balbinot Junior ◽  
Julio Cezar Franchini dos Santos ◽  
Henrique Debiasi ◽  
Antônio Eduardo Coelho ◽  
Moryb Jorge Lima da Costa Sapucay ◽  
...  

Abstract: The objective of this work was to evaluate the influence of isolated or combined roots and straw of black oat and wheat, as previous crops in autumn/winter, on the performance of soybean in succession. The experiment was carried out in the 2017/2018 and 2018/2019 crop seasons in a randomized complete block design, with four replicates. The following seven treatments were applied in the autumn/winter of 2017 and 2018, before soybean planting: fallow; straw of black oat or wheat, distributed on plots kept under fallow during autumn/winter, without roots; plots only with roots of black oat or wheat, without straw; and plots with straw and roots of black oat or wheat. Soybean crop performance was estimated using the following variables: plant density, leaf area index, soil plant analysis development (SPAD) index, shoot dry matter, grain yield, and yield components. In comparison with fallow, the cultivation of black oat or wheat, as previous crops during the autumn/winter, increases soybean grain yield. The impact of the roots of black oat or wheat on soybean yield is similar to that of straw. Soybean agronomic performance is improved in the combined presence of roots and straw of black oat or wheat.


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