Effect of sowing time and soil water content on grain yield and phenolic profile of four buckwheat (Fagopyrum esculentum Moench.) varieties in a Mediterranean environment

2017 ◽  
Vol 62 ◽  
pp. 1-7 ◽  
Author(s):  
Laura Siracusa ◽  
Fabio Gresta ◽  
Elisa Sperlinga ◽  
Giuseppe Ruberto
Keyword(s):  
Grain Yield ◽  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Fagopyrum Esculentum ◽  
Mediterranean Environment ◽  
Sowing Time ◽  
Phenolic Profile ◽  
Fagopyrum Esculentum Moench

Response of wheat to single short-term waterlogging during and after stem elongation

1988 ◽  
Vol 39 (1) ◽  
pp. 11 ◽  
Author(s):  
WS Meyer ◽  
HD Barrs
Keyword(s):  
Grain Yield ◽  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Root Length ◽  
Stem Elongation ◽  
Stem Growth ◽  
Yield Reduction ◽  
Growth Stages ◽  
Short Term

Transient waterlogging associated with spring irrigations on slowly draining soils causes yield reduction in irrigated wheat. Physiological responses to short-term flooding are not well understood. The aim of this experiment was to monitor above- and below-ground responses of wheat to single waterlogging events during and after stem elongation and to assess the sensitivity of the crop at these growth stages to flooding. Wheat (cv. Bindawarra) was grown in drainage lysimeters of undisturbed cores of Marah clay loam soil. A control treatment (F0) was well-watered throughout the season without surface flooding, while three others were flooded for 96 h at stem elongation (Fl), flag leaf emergence (F2) and anthesis (F3), respectively. Soil water content, soil O2, root length density, leaf and stem growth, apparent photosynthesis (APS), plant nutrient status and grain yield were measured. Soil water content increased and soil O2 levels decreased following flooding; the rate of soil O2 depletion increasing with crop age and root length. Leaf and stem growth and APS increased immediately following flooding, the magnitude of the increases was in the order F1 >F2>F3. A similar order existed in the effect of flooding which decreased the number of roots. Subsequently, leaf and stem growth decreased below that of F0 plants in F1, and briefly in F2. Decreases in APS of treated plants compared to F0 plants appeared to be due to their greater sensitivity to soil water deficit. There was no effect of flooding on grain yield. It is suggested that, while plant sensitivity to flooding decreased with age, flooding at stem elongation had no lasting detrimental effect on yield when post-flood watering was well controlled.

scholarly journals Optimum time of sowing for rainfed winter chickpea with one-pass mechanised row-sowing: an example for small-holder farms in north-west Bangladesh

2014 ◽  
Vol 65 (7) ◽  
pp. 602 ◽  
Author(s):  
W. H. Vance ◽  
R. W. Bell ◽  
C. Johansen ◽  
M. E. Haque ◽  
A. M. Musa ◽  
...  
Keyword(s):  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Crop Growth ◽  
Residual Soil ◽  
Reproductive Growth ◽  
Sowing Time ◽  
Minimum Tillage ◽  
North West ◽  
Sowing Dates

The time of sowing chickpea (Cicer arietinum L.) in the High Barind Tract of north-west Bangladesh is critical to crop success. To ensure adequate emergence and subsequent crop growth, chickpea relies on residual soil moisture stored in the profile after rice (Oryza sativa L.) cultivated in the preceding rainy season. With the development of mechanised, one-pass minimum tillage sowing, the time between rice harvest and chickpea sowing is decreased, and temperature constraints that limit biomass and/or pod formation and filling may be avoided. Minimum tillage may also limit evaporation from the soil surface compared with traditional, full cultivation procedures. The objective of this study was to identify the optimum sowing time to achieve adequate crop establishment and limit exposure of the chickpea crop to terminal drought and heat stress later in the growing season. Over three experimental seasons, chickpea sowing dates were spread from 22 November to 22 December. Soil water content, crop growth and temperature were monitored to determine the optimum sowing time. Over all seasons and sowing dates, the volumetric soil water content in the seedbed under minimum tillage remained within 17–34%, a range non-limiting for chickpea establishment in glasshouse and field experiments. Late planting (after 10 December) exposed seedlings to low temperatures (<15°C), which limited biomass formation and extended the vegetative growth phase into periods with high maximum temperatures (>35°C), resulting in unfilled pods and depressed grain yield. The preferred sowing time was determined to be 30 November to 10 December to reduce the risk of high temperatures and low soil water content during chickpea reproductive growth causing terminal heat and drought stress, respectively. Mechanised sowing in one operation allows farmers to optimise their time of sowing to match seed requirements for soil water at emergence and may assist farmers to avoid temperature stresses (both low and high) that constrain chickpea vegetative and reproductive growth.

Effects of soil water content and nitrogen supply on the productivity of Miscanthus×giganteus Greef et Deu. in a Mediterranean environment

2007 ◽  
Vol 25 (1) ◽  
pp. 75-88 ◽  
Author(s):  
Salvatore L. Cosentino ◽  
Cristina Patanè ◽  
Emanuele Sanzone ◽  
Venera Copani ◽  
Salvatore Foti
Keyword(s):  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Nitrogen Supply ◽  
Mediterranean Environment ◽  
Miscanthus Giganteus

Use of the APSIM wheat model to predict yield, drainage, and NO3- leaching for a deep sand

1998 ◽  
Vol 49 (3) ◽  
pp. 363 ◽  
Author(s):  
S. Asseng ◽  
G. C. Anderson ◽  
F. X. Dunin ◽  
I. R. P. Fillery ◽  
P. J. Dolling ◽  
...  
Keyword(s):  
Grain Yield ◽  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Western Australia ◽  
N Uptake ◽  
Inorganic N ◽  
Potential Yield ◽  
Soil Inorganic N ◽  
Initial Soil

High rates of drainage and leaching of nitrates in deep sands in Western Australia are contributing to groundwater recharge and soil acidification in this region. Strategies are being soughtto increase water and nitrogen (N) use in the legume-based cropping systems. Choice of appropriate management strategies is complicated by the diversity of soil types, the range of crops, and the inherent season to season variability. Simulation models provide the means to extrapolate beyond the bounds of experimental data if accurate predictions of key processes can be demonstrated. This paper evaluates the accuracy of predictions of soil water content, evapotranspiration, drainage, inorganic N content insoil, nitrate (NO-3) leaching, wheat growth, N uptake, and grain yields obtained from the Agricultural Production Systems Simulator (APSIM) model when this was initialised with appropriate information on soil properties and wheat varieties commonly grown on deep sands in the 500 mm rainfall zone west of Moora in Western Australia. The model was found to give good predictions of soil water content,evapotranspiration, deep drainage, and overall NO-3 leaching. Temporal changes in inorganic N insoil were simulated, although the small concentrations in soil inorganic N precluded close matching of paired observed and predicted values. Crop growth and N uptake were closely predicted up to anthesis, but a poor fit between observed and predicted crop growth and N uptake was noted postanthesis. Reasons for the discrepancies between modelled and observed values are outlined. The model was run with historical weather data (81 years) and different initial soil water and inorganic soil N profiles to assess the probability of drainage and NO-3 leaching, and the grain yield potentials for wheat grown on deep sands in the region west of Moora. Simulation showed that thesoil water and the soil inorganic N content at the beginning of each season had no effect on grain yield, implying that pre-seed soil NO-3 was largely lost from the soil by leaching. There was a 50% probability that 141 mm of winter rainfall could drain below 1·5 m and a 50% probability that 53 kgN/ha could be leached under wheat following a lupin crop, where initial soil water contents andsoil NO-3 contents used in the model were those measured in a deep sand after late March rainfall. Simulated application of N fertiliser at sowing increased both grain yield and NO-3 leaching. Splitting the N application between the time of sowing and 40 days after sowing decreased NO-3 leaching,increased N uptake by wheat, and increased grain yield, findings which are consistent with agronomic practice. The high drainage and leaching potential of these soils were identified as the main reasons why predicted yields did not approach the French and Schultz potential yield estimates based on 20 kg grain yield per mm of rainfall. When the available water was reduced by simulated drainage, simulated grain yields for the fertilised treatments approached the potential yield line.

scholarly journals Energy demand of a mechanized unit for the implementation of common bean crops

2021 ◽  
Vol 25 (1) ◽  
pp. 65-71
Author(s):  
Wilson de A. Orlando Junior ◽  
Haroldo C. Fernandes ◽  
Paulo R. Forastiere ◽  
Tiago M. Guazzelli ◽  
Guilherme de M. Araújo
Keyword(s):  
Grain Yield ◽  
Common Bean ◽  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Energy Demand ◽  
High Energy ◽  
Fertilizer Placement ◽  
Placement Depth ◽  
Soil Fertilizer

ABSTRACT Adequate soil managements and use of agricultural machinery are essential for the economic viability of these practices and for the environmental preservation. In this context, sowing and fertilizer application practices are the most important activities, since they affect crop development and present high energy demand. Therefore, the objective of this study was to evaluate the energy demand of a tractor-planter-fertilizer unit for the sowing of common bean seeds in no-tillage system as a function of three soil water contents (28.7, 36.4, and 47.6%) and three soil fertilizer placement depths (0.06; 0.11 and 0.15 m). The final common bean grain yield was also evaluated. The lowest energy demand was found for the highest soil water content combined with the lowest soil fertilizer placement depth. The highest common bean grain yield was found for plants under soil water content of 36.4% and fertilizer placement depth of 0.11 m, reaching 4,186 kg ha-1.

scholarly journals Evaluating APSIM-and-DSSAT-CERES-Maize Models under Rainfed Conditions Using Zambian Rainfed Maize Cultivars

Nitrogen ◽  
2021 ◽  
Vol 2 (4) ◽  
pp. 392-414
Author(s):  
Charles B. Chisanga ◽  
Elijah Phiri ◽  
Vernon R. N. Chinene
Keyword(s):  
Grain Yield ◽  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Growth And Yield ◽  
Research Station ◽  
Central Research ◽  
Management Options ◽  
Study Objective ◽  
Maize Cultivars

Crop model calibration and validation is vital for establishing their credibility and ability in simulating crop growth and yield. A split–split plot design field experiment was carried out with sowing dates (SD1, SD2 and SD3); maize cultivars (ZMS606, PHB30G19 and PHB30B50) and nitrogen fertilizer rates (N1, N2 and N3) as the main plot, subplot and sub-subplot with three replicates, respectively. The experiment was carried out at Mount Makulu Central Research Station, Chilanga, Zambia in the 2016/2017 season. The study objective was to calibrate and validate APSIM-Maize and DSSAT-CERES-Maize models in simulating phenology, mLAI, soil water content, aboveground biomass and grain yield under rainfed and irrigated conditions. Days after planting to anthesis (APSIM-Maize, anthesis (DAP) RMSE = 1.91 days; DSSAT-CERES-Maize, anthesis (DAP) RMSE = 2.89 days) and maturity (APSIM-Maize, maturity (DAP) RMSE = 3.35 days; DSSAT-CERES-Maize, maturity (DAP) RMSE = 3.13 days) were adequately simulated, with RMSEn being <5%. The grain yield RMSE was 1.38 t ha−1 (APSIM-Maize) and 0.84 t ha−1 (DSSAT-CERES-Maize). The APSIM- and-DSSAT-CERES-Maize models accurately simulated the grain yield, grain number m−2, soil water content (soil layers 1–8, RMSEn ≤ 20%), biomass and grain yield, with RMSEn ≤ 30% under rainfed condition. Model validation showed acceptable performances under the irrigated condition. The models can be used in identifying management options provided climate and soil physiochemical properties are available.

Evaluation of the AquaCrop model for simulating yield response of winter wheat to water on the southern Loess Plateau of China

2013 ◽  
Vol 68 (4) ◽  
pp. 821-828 ◽  
Author(s):  
Wanhong Zhang ◽  
Wenzhao Liu ◽  
Qingwu Xue ◽  
Jie Chen ◽  
Xiaoyang Han
Keyword(s):  
Winter Wheat ◽  
Grain Yield ◽  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Loess Plateau ◽  
Aboveground Biomass ◽  
Yield Response ◽  
Aquacrop Model ◽  
Rainfed Conditions

The objective of this study was to evaluate the performance of the FAO-AquaCrop model in winter wheat in the southern Loess Plateau of China. Multi-year field experimental data from 2004 and 2011 were used to calibrate and validate the model for simulating biomass, canopy cover (CC), soil water content, and grain yield under rainfed conditions. The model performance was evaluated using root mean square error (RMSE) and Willmott index of agreement (d) as criteria. The RMSE ranged from 0.16 to 0.38 t/ha for simulating aboveground biomass, 1.87 to 4.15% for CC, 0.50 to 1.44 t/ha for grain yield, and 5.70 to 22.56 mm for soil water content. The d ranged from 0.22 to 0.89, 0.25 to 0.43, 0.36 to 0.62 and 0.95 to 0.98 for aboveground biomass, CC, soil water content and grain yield, respectively. Generally, the model performed better for simulating CC and yield than biomass and soil water content. The results further indicated that AquaCrop is capable of simulating winter wheat yield under rainfed conditions. Further improvement may be needed to capture the variation of different management practices such as fertility and irrigation levels in this region.

scholarly journals Evaluation of Simulated Soil Water Content, Dry Matter and Grain Yield of Winter wheat (cv. Shiraz) using WSM and AquaCrop Models

2016 ◽  
Vol 20 (77) ◽  
pp. 59-70 ◽  
Author(s):  
Sh. Zand-Parsa ◽  
S. Parvizi ◽  
A. R. Sepaskhah ◽  
M. Mahbod ◽  
◽  
...  
Keyword(s):  
Winter Wheat ◽  
Grain Yield ◽  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Dry Matter

Soil sealing and soil water content under no‐tillage and conventional tillage in irrigated corn: Effects on grain yield

2019 ◽  
Vol 33 (15) ◽  
pp. 2095-2109 ◽  
Author(s):  
María Concepción Ramos ◽  
Evangelina Pareja‐Sánchez ◽  
Daniel Plaza‐Bonilla ◽  
Carlos Cantero‐Martínez ◽  
Jorge Lampurlanés
Keyword(s):  
Grain Yield ◽  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Conventional Tillage ◽  
No Tillage ◽  
Soil Sealing
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