Estimation of Evapotranspiration andIrrigation Scheduling of Lentilusing CROPWAT 8.0 Model for Anantapur District, Andhra Pradesh, India

2017 ◽  
Vol 4 (04) ◽  
Author(s):  
JATOTH VEERANNA ◽  
A. K. MISHRA
Keyword(s):  
Andhra Pradesh ◽  
Sowing Date ◽  
Irrigation Scheduling ◽  
Crop Water ◽  
Irrigation Requirement ◽  
Sowing Time ◽  
Climate Conditions ◽  
Sowing Dates ◽  
Climatic Water Deficit ◽  
Effective Water

To achieve effective water allocation and planning, the information about Lentil crop water requirements, irrigation withdrawals, soil types and climate conditions were gathered from the study area i.e. Anantapur district of Andhra Pradesh (A.P). The main objectives of the study area wereto estimate the Lentil crop water requirement (i.e., evapotranspiration) and deciding the proper sowing time in semi-arid agro-climatic conditions.The CROPWAT 8.0 was used to estimate the climatic water deficit, net irrigation requirement (NIR) and gross irrigation requirement (GIR) under different rainfed and irrigated conditions with six different growing dates with aninterval of 10 days.The results showed that the best sowing dates were last week of September to 1st week of October, which gives thebest utilization of rainfall as effective rainfall. The net and gross irrigation requirement(NIR and GIR) varied from a minimum to maximum as 69.7 mm, 110.3 mm, 78.2 mm, 119.4 mm, 114 mm and 165.9 mm; respectively for all sowing dates. Thus by adopting a proper sowing date and irrigation scheduling criteria, it is possible to save 49.7 mm of water as NIR for theearly sown crop.

scholarly journals Numerical Climatic Analysis of Soybean Development in Sowing Dates in Humid Subtropical Climate

2021 ◽  
Author(s):  
Mateus Possebon Bortoluzzi ◽  
Arno Bernardo Heldwein ◽  
Roberto Trentin ◽  
Ivan Carlos Maldaner ◽  
Jocélia Rosa da Silva ◽  
...  
Keyword(s):  
Meteorological Data ◽  
Sowing Date ◽  
Cycle Duration ◽  
Subtropical Climate ◽  
Climate Conditions ◽  
Development Cycle ◽  
Sowing Dates ◽  
Climatological Station ◽  
The Mean ◽  
Santa Maria

Abstract The objective of this study was to determine the mean duration and the interannual variability of phenological subperiods and total soybean development cycle for 11 sowing dates in the humid subtropical climate conditions of the state of Rio Grande do Sul. Daily meteorological data were used from 1971 to 2017 obtained from the Pelotas agroclimatological station and from 1968 to 2017 from the main climatological station of Santa Maria. The soybean development simulation was performed considering three sets of cultivars of relative maturity groups between 5.9-6.8, 6.9-7.3 and 7.4-8.0, with intervals between the sowing dates of approximately 10 days, comprising September, 21 to December, 31. The data of phenological subperiods duration and total development cycle were subjected to the exploratory analysis BoxPlot, analysis of variance and mean comparison by the Scott-Knott test, with 5% of probability. The development cycle duration is greater in Pelotas than in Santa Maria. There was a decrease in soybean cycle duration from the first to the last sowing date for both locations. The R1-R5 subperiod duration is decreasing from October to December due to photoperiod reduction.

scholarly journals Response of Late Sowing on the Yield and Yield Contributing Character of Different Varieties of Mustard and Rapeseed in Coastal Area of Barguna

1970 ◽  
Vol 42 (4) ◽  
pp. 441-448
Author(s):  
MA Razzaque ◽  
MR Talukder ◽  
Shaleh Uddin ◽  
SI Khan ◽  
Altab Hossain
Keyword(s):  
Coastal Area ◽  
Brassica Species ◽  
Sowing Date ◽  
Rabi Season ◽  
Sowing Time ◽  
Sowing Dates ◽  
Main Plot ◽  
Testing Site ◽  
Late Sowing ◽  
Plot Design

An experiment was carried at Multi Location Testing site Barguna to determine suitable variety of mustard (Brassica species) for the late sowing condition for the coastal area of Bangladesh during rabi season of 1998-1999 and 1999-2000. Four varieties of mustard such as Daulat, Rai-5, Improved tory-7, and Ishurdi local with four sowing dates viz.15 Nov, 23 Nov, 30 Nov. and 7 Dec. were used for the experiment. The experiment was laid out in a split plot design with sowing date in the main plot and varieties in the sub plot. The results revealed that the variety Daulat (1035 kg/ha) and Ishurdi local (1014 kg/ha) produced identically superior yield irrespective of sowing time. 15 November (1164 kg/ha) and 23 November (1002 kg/ha) recorded identically superior yield irrespect of variety. Daulat and Ishurdi local variety sowing could be delayed up to 30 November to obtain a profitable yield of (872 kg/ha) and (940 kg/ha) respectively which was still economically profitable. Key words: Mustard and rapes, Late sowing , variety, Yield, coastal area. Bangladesh J. Sci. Ind. Res. 42(4), 441-448., 2007

scholarly journals Study on the Morpho-physiological Character of Four Quality Protein of Maize (Corn)

2017 ◽  
Vol 10 (1) ◽  
pp. 117-124
Author(s):  
SK Mondal ◽  
MM Rahman
Keyword(s):  
Grain Yield ◽  
Sowing Date ◽  
Weight Percent ◽  
Leaf Sheath ◽  
Sowing Time ◽  
Planting Time ◽  
Physiological Character ◽  
Physiological Variability ◽  
Sowing Dates ◽  
Number Of Leaves

The experiment was conducted to find out the morpho-physiological variability in response to different sowing dates in four lines of Quality Protein Maize (QPM) in in the Field Laboratory of the Department of Crop Botany, Bangladesh Agricultural University, Mymensingh. The study was carried out with four lines of maize and two sowing dates, 15 November (T1) and 15 December, ((T2). Sowing date differed significantly in plant height, length of leaf blade, length of leaf sheath, leaf breadth, cob length, cob diameter, length of tassel, days to 50% tasselling, days to 50 % silking, days to maturity, number of cobs per plant, cob weight, number of grain per cob. 1000-seed weight, percent underdeveloped cob, total dry matter and grain yield, but did not differ in number of leaves and protein percent. The lines differed significantly among themselves in those characters except number of leaves per plant, length of leaf sheath, cob length, cob diameter, days to 50% tasselling, number of cobs per plants and number of grain per cob. The line Across 8666 (V2) and (V3) gave the highest grain yield 4.57 and 4.55 and the lowest from (V4) lines 4.41 tons per hectare. The 15 November sowing time (T1) gave the highest grain yield 4.86 tons per hectare. In case of interaction, the earlier planting time (T1) showed better performance with all lines. On the other hand, the highest yield was found from combination of line V2 and V3 with earlier planting time (T1).J. Environ. Sci. & Natural Resources, 10(1): 117-124 2017

scholarly journals Effects of the cropyear and the agronomical factors on agronomical elements of different sweet corn (Zea Mays L. convar. saccharata Koern.) genotypes in long-term experiment

2012 ◽  
pp. 105-110
Author(s):  
Ádám Lente
Keyword(s):  
Plant Density ◽  
Sweet Corn ◽  
Sowing Date ◽  
Higher Plant ◽  
Sowing Time ◽  
Sowing Dates ◽  
Long Term Experiment ◽  
Plant Densities ◽  
Fertilization Level ◽  
The University

In the crop season of 2010 (rainy year), we studied the effect of three agrotechnical factors (sowing time, fertilization, plant density) and four different genotypes on the agronomical characteristics of sweet corn on chernozem soil in the Hajdúság. The experiments were carried out at the Látókép Experimental Farm of the University of Debrecen. In the experiment, two sowing dates (27 April, 26 May), six fertilization levels (control, N30+PK, N60+PK, N90+PK, N120+PK, N150+PK) and four genotypes (Jumbo, Enterprise, Prelude, Box-R) were used at two plant densities (45 thousand plants ha-1, 65 thousand plants ha-1). The amount of precipitation in the season of 2010 was 184 mm higher, while the average temperature was 0.8 oC higher in the studied months than the average of 30 years. Weather was more favourable for sweet maize at the first sowing date, if we consider the yields, however, if we evaluate the agronomical data and yield elements (number of cobs, cob length and diameter, the number of kernel rows, the number of kernels per row) it can be stated that the size of the fertile cobs was greater at the second sowing date due to the lower number of cobs. The largest number of fertile cobs was harvested in the case of the hybrid Enterprise (72367.9 ha-1) in the higher plant density treatment (65 thousand ha-1) at the fertilization level of N120+PK when the first sowing date was applied. The largest cobs were harvested from the hybrid Box-R (cob weight with husks: 516.7 g, number of kernels in one row: 45.7) at the lower plant density (45 thousand plants ha-1) in the second sowing date treatment. Cob diameter and the number of kernel rows were the highest for the hybrid Prelude.

scholarly journals Lazurit winter wheat seeding rates in dependence to the predecessors and time of sowing in the Rostov region

2019 ◽  
Vol 20 (6) ◽  
pp. 548-556
Author(s):  
A. S. Popov
Keyword(s):  
Winter Wheat ◽  
Conflict Of Interest ◽  
Sowing Date ◽  
Ordinary Chernozem ◽  
Seeding Rate ◽  
Sowing Time ◽  
Yield Level ◽  
Rostov Region ◽  
Sowing Dates ◽  
Viable Seeds

The study is aimed at determining the optimal seeding rates for durum winter wheat Lazurit variety by various seeding dates that would provide the highest grain yield in the conditions of Rostov region. The research was carried out in 2016-2018 on ordinary chernozem after different predecessors for winter wheat (black fallow and sunflower). Studied were: the seeding rates (3 mln, 4 mln, 5 mln viable seeds per hectare after the black fallow predecessor; 5 mln, 6 mln ,7 mln viable seeds per hectare after the sunflower predecessor), and the sowing date (the 10th,20th,30th of September, the10th of October). It has been established that after the black fallow predecessor the seeding rate for durum winter wheat Lazurit variety can be reduced to 3 million viable seeds/ha on the early sowing date (September,10) and optimal sowing date (September, 20). When sowing at the end of optimal (September, 30) and acceptable (October,10) periods, the sowing rate must be 5 million viable seeds/ha. After the sunflower predecessor, on the early sowing date (September,10) and optimal sowing dates (September, 20 and 30) the sowing rate of 5 million viable seeds/ha should be used. At the end of acceptable periods (October,10) the sowing rate should be increased to 6 million viable seeds/ha. After the black fallow predecessor, the highest yield of durum winter wheat has been formed – from 4.61 to 6.06 t/ha depending on the sowing rate and time of sowing. After the sunflower predecessor the yield level ranged from 3.43 to 4.28 t/ha. The optimal sowing time for durum winter wheat Lazurit variety in the south of Rostov region has been established - from the 10th to the 30th of September. Sowing in this period provided the largest number of productive stems (after the black fallow predecessor – 476-568 pcs/m2, after the sunflower predecessor – 420-512 pcs/m2), the grain mass per ear (1.21-1.36g and 0.91-1.08g), the plant height (95-100 cm and 92-100 cm), the ear length (6 cm and 4-5 cm, respectively).Conflict of interest: the author stated that there was no conflict of interest.

scholarly journals The effect of sowing time on pest spreading in spring oilseed rape crop

2018 ◽  
Vol 24 (4) ◽  
Author(s):  
Rimantas Velička ◽  
Lina Marija Butkevičienė ◽  
Rita Pupalienė ◽  
Zita Kriaučiūnienė ◽  
Robertas Kosteckas ◽  
...  
Keyword(s):  
Oilseed Rape ◽  
Verticillium Dahliae ◽  
Sowing Date ◽  
The Other ◽  
Meligethes Aeneus ◽  
Sowing Time ◽  
Sowing Dates ◽  
Crop Density ◽  
Rape Seedlings ◽  
Spring Rape

The field experiments were conducted at the Experimental Station of Aleksandras Stulginskis University in 2015–2017. The aim of the experiment was to evaluate the influence of sowing time on spreading of pests and diseases in spring oilseed rape crop. The first sowing occurred when soil reached physical maturity, the other sowing dates were every 5 days in 2015–2016 and every 7 days in 2017. In 2015, the sowing time did not have a significant effect on the distribution of Alternaria brassicae. Meteorological conditions strongly influenced the severity of the disease. The sowing date had a significant influence on the distribution of Verticillium dahliae: in the spring rape crop sown in May, the stems were damaged by 6.4%, less compared to the crop sown in April. In 2016–2017, the rape seedlings in the plots of the latest sowing were significantly more damaged compared with those of earlier sowing dates. In 2016, spreading of Verticillium longisporum significantly increased by 3.7 times in the crop of spring rape sown on 10 May compared to other sowing dates. In 2017, the spreading of Verticillium dahliae in spring rape crops was more influenced by a colder than usual vegetation period and an abundant rainfall than the sowing time. In 2015, the intensity of Phyllotreta spp. damage in the rape seedling period (BBCH 10-19) significantly increased by 2.7 times with the sowing date from 30 April to 20 May. The spreading of Meligethes aeneus was the least in the spring oilseed rape sown at the optimal time (30 April and 5 May). In 2016–2017, Phyllotreta spp. were more intensively spread in the crops sown in April, and rape seedlings were significantly more damaged. In 2016, Meligethes aeneus were most widely spread in the spring rape crop of the earliest sowing (4 October). A significant decrease in the number of pests was detected in the rape crops sown in May compared to that sown in April. In 2017, the highest number of Meligethes aeneus was evaluated in the rape crop sown on 2 June, significantly by 3.9 times more compared with that in the earlier sown crop and by 2.9 times in the crop sown one week later. It is believed that the other generation of Meligethes aeneus from winter rape crops went to the spring rape crops. In 2016, there was a very strong statistically significant correlation between the sum of positive temperatures for the 10-day period up to the sowing of rapeseed and the prevalence of Phyllotreta spp. in crops: r = 0.98, P ≤ 0.05, and the damage intensity of rape seedlings by Phyllotreta spp. of (BBCH 10-19): r = 0.92, P ≤ 0.05. The warmer the weather was before rape sowing, the more active Phyllotreta spp. were. In 2017, strong correlations were established between the number of Phyllotreta spp. and the intensity of crop damage by Phyllotreta spp. and the crop density 3 days after the emergence: r = –0.82, P ≤ 0.05; r = –0.89, P ≤ 0.01, and 7 days after the emergence of spring rape: r = –0.81, P ≤ 0.05; r = –0.88, P ≤ 0.01.

scholarly journals Assessing the Impact of Reference Evapotranspiration Models on Decision Support Systems for Irrigation

Horticulturae ◽  
2018 ◽  
Vol 4 (4) ◽  
pp. 49 ◽  
Author(s):  
Matthias Olberz ◽  
Katrin Kahlen ◽  
Jana Zinkernagel
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Reference Evapotranspiration ◽  
Irrigation Scheduling ◽  
Vegetable Crops ◽  
Crop Water ◽  
Local Climate ◽  
Climate Conditions ◽  
The Impact

Reference evapotranspiration (E T 0) is a major estimator for crop water requirements predicted by decision support systems for irrigation. However, the impact of different E T 0s on the predicted amount of water supply and counts of irrigation events has not been evaluated. Simulations of the Geisenheim Irrigation Scheduling (GS) for vegetable crops with two different E T 0s, P2-E T 0 and FAO56-E T 0, were evaluated to assess exemplarily the impact of E T 0s. The sensitivity of both E T 0s to local climate conditions was characterized through a random forest analysis, and a linear regression model was used to adjust the original GS by adapting K c-values to the exchange E T 0. For assessing the outcomes of GS irrigation decision, simulations of 173 individual cropping cycles including six vegetable crops over eight years were conducted. After adjusting P2-E T 0 K c-values to FAO56-E T 0 K c-values, there was no impact of the E T 0-model on the practical irrigation scheduling with GS. Finally, we discuss that any E T 0-model, if adjusted accordingly, might have little impact on similar irrigation systems and provide a method to exchange E T 0s.

Sowing Dates of Wheat in Northern Sudan

1977 ◽  
Vol 13 (4) ◽  
pp. 401-407 ◽  
Author(s):  
A. Galil ◽  
A. Gabar Ahmed
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Unit Area ◽  
Sowing Date ◽  
Grain Weight ◽  
Sowing Time ◽  
Varietal Differences ◽  
Planting Time ◽  
Sowing Dates

SUMMARYThe effect of sowing time and variety were tested for three consecutive years under irrigated conditions. The relation between yield and planting time was quadratic, best described by y=a+bx-ex2 where y is grain yield and x is planting time. The results showed that, irrespective of variety, the optimum sowing date is around mid-November. Varietal differences are related to number of ears per unit area, with a stronger association of yield with grain weight than with any other yield components.

scholarly journals Effect of Sowing Dates and Varities on Yield and Yield Attributes of Direct Seeded Rice in Chitwan Condition

2013 ◽  
Vol 14 ◽  
pp. 121-130
Author(s):  
KP Dawadi ◽  
NK Chaudhary
Keyword(s):  
Grain Yield ◽  
Sowing Date ◽  
Growth And Yield ◽  
Sowing Time ◽  
Early Maturity ◽  
Yield Attributes ◽  
Net Return ◽  
Sowing Dates ◽  
Direct Seeded ◽  
Use Efficiency

Rice transplanting and sowing time sometimes get delayed due to lack of assured irrigation or surplus of rainfall. Moreover, no specific varieties have been specifically developed for this purpose. An experiment was conducted to study the effect of sowing dates and varieties on growth and yield of direct seeded rice during rainy season in 2010. The experiment was laid out in split plot design with four sowing dates and three varieties in sub plot. Sowing date on June 13th contributed to higher grain yield; higher gross return; net return and higher B:C ratio per hectare. Similarly, the variety Hardinath-1 excelled better in all these parameters with early maturity. The interaction effect of Hardinath-1 with June 13 sowing took lower days for maturity; produced higher number of effective tillers (386.3); heat use efficiency (2.14); straw yield (7.43 t ha-1); and relatively higher grain yield (4.22 t ha-1); gross return (Rs.108.55 thousand); net return (Rs. 51.22 thousands) and B:C ratio (1.89). Therefore, variety Hardinath-1 with June 13 sowing is best suited to get higher yield, timely maturity and higher economic return in Chitwan conditions.

scholarly journals Influence of sowing time productivity of green mass of Sudan grass dry steppe zone in northern Kazakhstan

2014 ◽  
Vol 11 (2) ◽  
pp. 63-67
Author(s):  
N Serekpaev ◽  
S Seifullin ◽  
A Nogayev ◽  
S Bekbulatov ◽  
B Dorj ◽  
...  
Keyword(s):  
Steppe Zone ◽  
Sowing Date ◽  
Sowing Time ◽  
Sudan Grass ◽  
Green Mass ◽  
Northern Kazakhstan ◽  
Sowing Dates ◽  
Dry Steppe ◽  
Agricultural Sciences

In this article we analyze the effect of sowing date on yield of Sudan grass green mass. The study was conducted over 2 years on the basis of working farms in the dry steppe zone of Kazakhstan. The yield of Sudan grass green mass is depending on the most favorable sowing dates. DOI: http://dx.doi.org/10.5564/mjas.v11i2.219 Mongolian Journal of Agricultural Sciences Vol.11(2) 2013 pp.63-67

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