Greengram Based Cropping Sequence for Sustainability under Changing Climate in Semi-arid Part of Karnataka, India

2021 ◽  
Author(s):  
R.H. Patil ◽  
Parashuram Kumbar ◽  
S. Sagar Dhage
Keyword(s):  
Sequential Analysis ◽  
Field Experiments ◽  
Analysis Tool ◽  
Crop Failure ◽  
Output Analysis ◽  
Rainfed Condition ◽  
Dssat Model ◽  
Different Seasons ◽  
Seasonal Analysis ◽  
Semi Arid

Background: Greengram based cropping sequences are followed in semi-arid parts of Karnataka, India. But, due to increasingly erratic and changing monsoon patterns under current climates the sustainability and profitability of these sequences are becoming more uncertain. Hence, a modeling study using seasonal analysis tool of DSSAT model was taken up to identify the most reliable sequence.Methods: Field experiments were carried out from 2015-2018 to calibrate and validate DSSAT model for four crop cultivars (greengram, chickpea, wheat and sorghum) under rainfed condition on deep black soils and then Sequential Analysis Tool of DSSAT model was run for 32 years (1985-2016) for three cropping sequences i.e., greengram-sorghum, greengram-wheat and greengram-chickpea. The simulated output analysis was done using yield, number of years crop failed during different seasons and the B:C ratio of each sequence. Result: Out of 32 years greengram crop, grown during kharif, failed only once whereas, during rabi season wheat, sorghum and chickpea failed seven, six and five years, respectively. Greengram-chickpea sequence recorded the highest B:C ratio (2.38) followed by greengram-sorghum (2.25) and greengram-wheat (1.76). Considering chances of crop failure and B:C ratio greengram-chickpea sequence was found to be the most reliable and remunerative system under rainfed condition of Karnataka during current climate.

Response of Greengram to Climate Change in Northern Transition Zone of Karnataka: DSSAT Model Based Assessment

2020 ◽  
Author(s):  
S. Sagar Dhage ◽  
R. H. Patil
Keyword(s):  
Climate Change ◽  
Grain Yield ◽  
Transition Zone ◽  
Weather Data ◽  
Total Biomass ◽  
Rainfed Condition ◽  
Physiological Maturity ◽  
Model Based ◽  
Dssat Model ◽  
Seasonal Analysis

Background: Rise in temperature and expected changes in erratic rainfall patterns projected under future climates are going to affect the performance and productivity of most crops, especially under rainfed condition. But, extent of adverse effect would vary from location to location and crop to crop. Greengram is an important Kharif season crop of Northern Transition Zone (NTZ) of Karnataka mainly grown under rainfed conditions. Methods: Calibrated and validated DSSAT-CROPGRO model was used to study response of greengram to climate change in NTZ of Karnataka. A combination of three temperature (control, +1°C and +2°C) and three rainfall (control, -10% and -20%) scenarios resulting nine combinations were used to simulate phenology, yield and total biomass using weather data for the period of 32 years (1985-2016). Result: Model based seasonal analysis showed that the greengram is more sensitive to change in rainfall than temperature. Rise in temperature by 1-2°C, reduced days to physiological maturity by 2 to 3 days and yield by 1.7 to 3.5%. On the contrary, reduction in 20% rainfall alone reduced grain yield and total biomass by 9.5% and 10.48%, respectively. Combined effect of reduced rainfall (-20%) and elevated temperature (2°C) resulted in 16.36 and 21.16% reduction in grain yield and total biomass, respectively. This indicates that, rainfall plays greater role on kharif greengram yield in NTZ.

scholarly journals Effect of Temperature on Sowing Dates of Wheat under Arid and Semi-Arid Climatic Regions and Impact Quantification of Climate Change through Mechanistic Modeling with Evidence from Field

Atmosphere ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 927
Author(s):  
Jamshad Hussain ◽  
Tasneem Khaliq ◽  
Muhammad Habib ur Rahman ◽  
Asmat Ullah ◽  
Ishfaq Ahmed ◽  
...  
Keyword(s):  
Climate Change ◽  
Grain Yield ◽  
Arid Region ◽  
Field Experiments ◽  
Climatic Conditions ◽  
Seasonal Temperature ◽  
Sowing Dates ◽  
Rcp 8.5 ◽  
Semi Arid Region ◽  
Semi Arid

Rising temperature from climate change is the most threatening factor worldwide for crop production. Sustainable wheat production is a challenge due to climate change and variability, which is ultimately a serious threat to food security in Pakistan. A series of field experiments were conducted during seasons 2013–2014 and 2014–2015 in the semi-arid (Faisalabad) and arid (Layyah) regions of Punjab-Pakistan. Three spring wheat genotypes were evaluated under eleven sowing dates from 16 October to 16 March, with an interval of 14–16 days in the two regions. Data for the model calibration and evaluation were collected from field experiments following the standard procedures and protocols. The grain yield under future climate scenarios was simulated by using a well-calibrated CERES-wheat model included in DSSAT v4.7. Future (2051–2100) and baseline (1980–2015) climatic data were simulated using 29 global circulation models (GCMs) under representative concentration pathway (RCP) 8.5. These GCMs were distributed among five quadrants of climatic conditions (Hot/Wet, Hot/Dry, Cool/Dry, Cool/Wet, and Middle) by a stretched distribution approach based on temperature and rainfall change. A maximum of ten GCMs predicted the chances of Middle climatic conditions during the second half of the century (2051–2100). The average temperature during the wheat season in a semi-arid region and arid region would increase by 3.52 °C and 3.84 °C, respectively, under Middle climatic conditions using the RCP 8.5 scenario during the second half-century. The simulated grain yield was reduced by 23.5% in the semi-arid region and 35.45% in the arid region under Middle climatic conditions (scenario). Mean seasonal temperature (MST) of sowing dates ranged from 16 to 27.3 °C, while the mean temperature from the heading to maturity (MTHM) stage was varying between 12.9 to 30.4 °C. Coefficients of determination (R2) between wheat morphology parameters and temperature were highly significant, with a range of 0.84–0.96. Impacts of temperature on wheat sown on 15 March were found to be as severe as to exterminate the crop before heading. The spikes and spikelets were not formed under a mean seasonal temperature higher than 25.5 °C. In a nutshell, elevated temperature (3–4 °C) till the end-century can reduce grain yield by about 30% in semi-arid and arid regions of Pakistan. These findings are crucial for growers and especially for policymakers to decide on sustainable wheat production for food security in the region.

scholarly journals Occurrence and Identification of a New Vector of Rice Orange Leaf Phytoplasma in South China

Plant Disease ◽  
2015 ◽  
Vol 99 (11) ◽  
pp. 1483-1487 ◽  
Author(s):  
Shu Li ◽  
Weijia Hao ◽  
Guanghua Lu ◽  
Jilei Huang ◽  
Chuanhe Liu ◽  
...  
Keyword(s):  
Polymerase Chain Reaction ◽  
South China ◽  
Rice Tungro Bacilliform Virus ◽  
Crop Failure ◽  
Chain Reaction ◽  
Phloem Tissue ◽  
Poor Growth ◽  
Different Seasons ◽  
Orange Leaf ◽  
Polymerase Chain

Rice orange leaf disease (ROLD) is caused by rice orange leaf phytoplasma (ROLP) and occurs sporadically in rice-growing areas in countries of eastern and southeastern Asia. ROLD caused severe damage to rice production in South China in the 1980s. Although its impact subsequently declined in South China, it has reemerged as a serious threat recently. Our study showed that ROLD occurrence varies in different seasons and fields. It was more severe in summer-grown crops (from July to October) than in spring-grown crops (from March to July). In most fields, the incidence was less than 10%, and diseased plants were scattered throughout the fields. In 20% of fields, the incidence was between 10 and 30%. In some fields, over 90% of plants were affected, causing crop failure. Typical symptoms of ROLD include orange-colored leaves and poor growth. Diseased plants were determined as positive for ROLP but negative for Rice tungro bacilliform virus, Rice tungro spherical virus, and Rice transitory yellowing virus through polymerase chain reaction and reverse-transcription polymerase chain reaction. Phytoplasma bodies but not virus-like particles were observed by electron microscopy in phloem tissue of diseased leaves. The leafhopper Inazuma dorsalis, previously identified as the unique vector for ROLP, was rare in the affected fields. Another leafhopper, Nephotettix cincticeps, previously considered a nonvector for this phytoplasma, was very common. Transmission tests revealed that this insect could also transmit ROLP; therefore, it might represent a new vector responsible for the recent incidence of ROLD.

scholarly journals Seasonal Characteristics of Disdrometer-Observed Raindrop Size Distributions and Their Applications on Radar Calibration and Erosion Mechanism in a Semi-Arid Area of China

2020 ◽  
Vol 12 (2) ◽  
pp. 262 ◽  
Author(s):  
Zongxu Xie ◽  
Hanbo Yang ◽  
Huafang Lv ◽  
Qingfang Hu
Keyword(s):  
Rainfall Intensity ◽  
Shaanxi Province ◽  
Theoretical Formula ◽  
Size Distributions ◽  
Seasonal Characteristics ◽  
Different Seasons ◽  
Raindrop Size ◽  
Radar Calibration ◽  
The Impact ◽  
Semi Arid

Raindrop size distributions (DSDs) are the microphysical characteristics of raindrop spectra. Rainfall characterization is important to: (1) provide information on extreme rate, thus, it has an impact on rainfall related hazard; (2) provide data for indirect observation, model and forecast; (3) calibrate and validate the parameters in radar reflectivity-rainfall intensity (Z-R) relationships (quantitative estimate precipitation, QPE) and the mechanism of precipitation erosivity. In this study, the one-year datasets of raindrop spectra were measured by an OTT Parsivel-2 Disdrometer placed in Yulin, Shaanxi Province, China. At the same time, four TE525MM Gauges were also used in the same location to check the disdrometer-measured rainfall data. The theoretical formula of raindrop kinetic energy-rainfall intensity (KE-R) relationships was derived based on the DSDs to characterize the impact of precipitation characteristics and environmental conditions on KE-R relationships in semi-arid areas. In addition, seasonal rainfall intensity curves observed by the disdrometer of the area with application to erosion were characterized and estimated. The results showed that after quality control (QC), the frequencies of raindrop spectra data in different seasons varied, and rainfalls with R within 0.5–5 mm/h accounted for the largest proportion of rainfalls in each season. The parameters in Z-R relationships (Z = aRb) were different for rainfall events of different seasons (a varies from 78.3–119.0, and b from 1.8–2.1), and the calculated KE-R relationships satisfied the form of power function KE = ARm, in which A and m are parameters derived from rainfall shape factor μ. The sensitivity analysis of parameter A with μ demonstrated the applicability of the KE-R formula to different precipitation processes in the Yulin area.

scholarly journals Depression storage and infiltration effects on overland flow depth-velocity-friction at desert conditions: field plot results and model

2012 ◽  
Vol 16 (9) ◽  
pp. 3293-3307 ◽  
Author(s):  
M. J. Rossi ◽  
J. O. Ares
Keyword(s):  
Field Experiments ◽  
Overland Flow ◽  
Field Measurements ◽  
Life Forms ◽  
Water Infiltration ◽  
Soil Core ◽  
Infiltration Rates ◽  
Overland Flows ◽  
Desert Areas ◽  
Semi Arid

Abstract. Water infiltration and overland flow are relevant in considering water partition among plant life forms, the sustainability of vegetation and the design of sustainable hydrological models and management. In arid and semi-arid regions, these processes present characteristic trends imposed by the prevailing physical conditions of the upper soil as evolved under water-limited climate. A set of plot-scale field experiments at the semi-arid Patagonian Monte (Argentina) were performed in order to estimate the effect of depression storage areas and infiltration rates on depths, velocities and friction of overland flows. The micro-relief of undisturbed field plots was characterized at z-scale 1 mm through close-range stereo-photogrammetry and geo-statistical tools. The overland flow areas produced by controlled water inflows were video-recorded and the flow velocities were measured with image processing software. Antecedent and post-inflow moisture were measured, and texture, bulk density and physical properties of the upper soil were estimated based on soil core analyses. Field data were used to calibrate a physically-based, mass balanced, time explicit model of infiltration and overland flows. Modelling results reproduced the time series of observed flow areas, velocities and infiltration depths. Estimates of hydrodynamic parameters of overland flow (Reynolds-Froude numbers) are informed. To our knowledge, the study here presented is novel in combining several aspects that previous studies do not address simultaneously: (1) overland flow and infiltration parameters were obtained in undisturbed field conditions; (2) field measurements of overland flow movement were coupled to a detailed analysis of soil microtopography at 1 mm depth scale; (3) the effect of depression storage areas in infiltration rates and depth-velocity friction of overland flows is addressed. Relevance of the results to other similar desert areas is justified by the accompanying biogeography analysis of similarity of the environment where this study was performed with other desert areas of the world.

scholarly journals Effects of Polyacrylamide-Based Super Absorbent Polymer and Corn Straw Biochar on the Arid and Semi-Arid Salinized Soil

Agriculture ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 519
Author(s):  
Weiying Feng ◽  
Jiayue Gao ◽  
Rui Cen ◽  
Fang Yang ◽  
Zhongqi He ◽  
...  
Keyword(s):  
Soil Salinity ◽  
Field Experiments ◽  
Soil Amendments ◽  
Corn Straw ◽  
Simulation Experiments ◽  
Super Absorbent Polymer ◽  
Secondary Salinization ◽  
Application Rates ◽  
Absorbent Polymer ◽  
Semi Arid

Green approaches are much more appreciable during the present scenario. Soil amendments are frequently applied for improving water use efficiency, reducing soil salinity in arid and semi-arid areas, controlling the secondary salinization of cultivated soils, and increasing the carbon sequestration capacity of soils. Thus, lab soil column simulation experiments and field experiments were carried out to evaluate these functions of two separate amendments, polyacrylamide-based super absorbent polymer (SAP) and corn straw biochar at different application rates. The simulation experiments showed that both SAP and biochar inhibited the accumulation of soil salinity, with a reduced rate of 9.7–26.3% and 13.5–37.2%, respectively, dependent on the amendment application rates. The field experiments found different salt inhibition effects of the two amendments with growth stages of maize. Soil salinization was inhibited in the pre-germination and early jointing stages by SAP, but throughout the whole growth period by biochar. Both soil amendments reduced soil electrical conductivity, and biochar increased the soil contents of Ca2+, Mg2+, and K+. Our observations demonstrated that application of biochar and SAP played important roles in increasing soil fertility and inhibiting soil salt accumulation. It provided an effective method to potentially mitigate the environmental crisis and promote sustainable development in agriculture.

scholarly journals Phosphorus fertilization with enhanced efficiency in soybean and corn crops

2020 ◽  
pp. 78-84
Author(s):  
Luiz A. Zanão Jr ◽  
Orivaldo Arf ◽  
Roberto dos A. Reis Jr ◽  
Natalia Pereira
Keyword(s):  
Field Experiments ◽  
Tropical Soils ◽  
Water Soluble ◽  
Phosphorus Fertilization ◽  
Corn Yield ◽  
Phosphorus Use Efficiency ◽  
Phosphorus Fertilizer ◽  
Different Seasons ◽  
Enhanced Efficiency Fertilizer ◽  
High Yields

Due to the low natural availability of phosphorus (P) in tropical soils and the plant’s need for P, the use of phosphorus fertilizers of increased efficiency is an important tool for achieving high yields. The aims of this study were to evaluate plant growth, foliar P content and yield of soybean and corn crops in different seasons and places in response to P rates and sources. The sources of P were monoammonium phosphate (MAP) and Policote coated MAP (Policote+MAP). Field experiments were carried out comparing MAP performance compared to Policote coated MAP (MAP+Policote), an additive based on water soluble polymers. Experiments formed by P sources (MAP including 11% N, 52% P2O5 and MAP+Policote including 10% N, 49% P2O5) and rates were carried out in soybean and corn crops in different dates and sites. In the soybean crop, a (2x4) +1 factorial was used, comprising of two sources such as MAP and MAP+Policote and four rates of P (30, 60, 90 and 120 kg ha-1 of P2O5), besides the control. For corn, a (2x5) factorial was used, including two sources and five rates of P (0, 40, 80, 120 and 160 kg ha-1 of P2O5). The results showed that phosphorus fertilization would increase soybean and corn plant heights and yields in different seasons and places. Soybean and corn yield and agronomic phosphorus use efficiency were higher with Policote coated phosphorus fertilizer than with conventional phosphorus fertilizer. Policote coated phosphorus fertilizer can be used as an enhanced efficiency fertilizer because it increased soybean and corn yields in different seasons and places.

Seasonal water use patterns of semi-arid plants in China

2013 ◽  
Vol 89 (02) ◽  
pp. 169-177 ◽  
Author(s):  
Guodong Jia ◽  
Xinxiao Yu ◽  
Wenping Deng
Keyword(s):  
Water Use ◽  
Seasonal Changes ◽  
Water Sources ◽  
Plant Water ◽  
Seasonally Dry ◽  
Use Patterns ◽  
Different Seasons ◽  
Water Use Patterns ◽  
Plant Water Sources ◽  
Semi Arid

Water sources of woody plants in semi-arid or seasonally dry areas of China are little known. This study investigated the differences in water sources for plants due to seasonal changes (wet/transitional and dry seasons) in semi-arid areas. Stable isotope techniques were applied to determine plant water sources in different seasons. The results show that there is generally a switch of water sources from shallow depths in the rainy season to lower depths in the dry season. This study highlights how seasonal changes in climate in semi-arid China affect plant water uptake and suggests that further study with replicated systematic experiments are needed to better understand the responses in water use patterns to changes in environmental conditions in drought-prone areas.

scholarly journals Effect of Straw Mulch on Soil Evaporation during Freeze–Thaw Periods

Water ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1689 ◽  
Author(s):  
Junfeng Chen ◽  
Xue Xie ◽  
Xiuqing Zheng ◽  
Jing Xue ◽  
Chunyan Miao ◽  
...  
Keyword(s):  
Solar Radiation ◽  
Field Experiments ◽  
Principal Component ◽  
Coverage Rate ◽  
Soil Evaporation ◽  
Soil Water Storage ◽  
Freeze Thaw ◽  
Straw Mulch ◽  
Major Factors ◽  
Semi Arid

Reducing soil evaporation is important to alleviate water shortages in arid and semi-arid regions. The objective of this work was to reveal the effect of straw mulch on soil evaporation based on field experiments during a freeze–thaw period in Northern China. Four soil surface mulch treatment modes were investigated: Bare soil (BS), 1 cm thick straw mulch with 100% coverage rate (J1), 2 cm thick straw mulch with 100% coverage rate (J2), and 2 cm thick straw mulch with 50% coverage rate (J3). Principal component analysis was used to analyze the major factors influencing soil evaporation in three freeze–thaw stages. The results show that cumulative soil evaporation decreased with increased straw mulch thickness and coverage rate. The effect of straw mulching on soil evaporation was obvious during the stable freezing period, and soil evaporation with straw mulch treatments was reduced by 49.0% to 58.8% compared to BS treatment, while there was little difference for straw mulch treatments in the thawing stage. The relationship between cumulative soil evaporation under different straw mulch modes and time was well fitted by the power function. In the unstable freezing stage, the major factors for all treatments influencing soil evaporation were surface soil temperature and water surface evaporation; in the stable stage, they were solar radiation and relative humidity, and in the thawing stage, they were solar radiation and air temperature. The research results can provide a basis for addressing soil water storage and moisture conservation and restraining ineffective soil evaporation in arid and semi-arid areas.

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