Weather relation of rice-grass pea crop sequence in Indian Sundarbans

In order to develop weather-based yield prediction models for rice and grass pea in coastal saline zone of West Bengal, the experiments were conducted with rice (cv. CR 1017) and grass pea (cv. Bio L 212) in the rainy and winter seasons, respectively of 2016-17 and 2017-18. Rice was sown in nursery bed on six different dates starting from June 15 to July 19 at weekly interval in both rainy seasons in two different land situations viz. medium upland and medium lowland. Likewise, grass pea was sown on six different dates just before harvesting of rice. It was observed that both early sown rice and grass pea resulted in higher grain yield and took more time to mature under medium lowland situation irrespective of sowing dates. Correlation study revealed that air temperature during sowing to transplanting phase exhibited significant positive correlation with grain of rice in medium upland (Tmax = 0.76**, Tmin = 0.69*) and medium lowland (Tmax = 0.93**, Tmin = 0.81**) situations. On the other hand, maximum temperature and total solar radiation during 100% emergence to 100% flowering stage were negatively associated with the grain yield of grass pea in both medium upland (Tmax = -0.69*, Accumulated solar radiation = -0.73**) and medium lowland (Tmax = -0.74**, Acc. solar radiation = -0.77**) situations. Grain yield of rice and grass pea could be predicted with 94.4% and 87.4% predictability. Pre-harvest forecasting of grain yield was possible with 77.3% for rice and 83.8% for grass pea.

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Development and Evaluation of Two Pecan Scab Prediction Models

Plant Disease ◽

10.1094/pdis-03-11-0202-re ◽

2012 ◽

Vol 96 (9) ◽

pp. 1358-1364 ◽

Cited By ~ 6

Author(s):

A. F. Payne ◽

D. L. Smith

Keyword(s):

Relative Humidity ◽

Solar Radiation ◽

Disease Severity ◽

Model Building ◽

Prediction Models ◽

Correlated Data ◽

Dew Point ◽

Total Solar Radiation ◽

Rain Event ◽

Pecan Scab

Fusicladium effusum (syn. Cladosporium caryigenum), causal agent of pecan scab, is the most economically important pathogen of pecan (Carya illinoinensis). A weather-based advisory is currently used in Oklahoma to assess the need for fungicide application and requires the accumulation of scab hours. A scab hour is defined as an hour with average temperature ≥21.1°C and relative humidity ≥90%. To assess the validity of the thresholds in the advisory, repeated ratings of disease severity were taken on fruit at five locations during the 1994–96 and 2009–10 growing seasons, resulting in a total of eight site years. Hourly weather variables were also examined, including temperature, relative humidity, dew point, dew point depression, total solar radiation, and total rainfall. Rain and disease severity were converted to binomial variables where a rain event (≥2.5 mm) and disease severity (≥25%) were coded as 1 and all other events as 0. Logistic regression models adjusted for correlated data were developed using generalized estimating equations. Two models were developed: a temperature/relative humidity model and a dew point/dew point depression model. For the temperature/relative humidity model, the best fitting model included all main effects. Using this model, validation exercises assuming no rain and total solar radiation of 22.5 MJ m–2 resulted in a 0.45 probability of pecan scab development when the temperature was 21°C and relative humidity was 90%. Findings of this model were further validated during field studies that evaluated different combinations of temperature and relative humidity thresholds for scheduling fungicide applications. These analyses indicated that the current thresholds of temperature and relative humidity are viable, but a modification of the relative humidity component should be considered. For the dew point/dew point depression model, a reduced model, including dew point, dew point depression, and the binomial rain variable, was considered adequate for explaining scab events, which suggests that future model building to describe pecan scab epidemics should include dew point, dew point depression, rain, and total solar radiation as independent variables. This article originally appeared in the January issue, Volume 96, pages 117-123. It was changed to correct errors in a measurement conversion that appeared throughout.

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Predictability of wheat growth and yield in light-limited conditions

The Journal of Agricultural Science ◽

10.1017/s0021859606006678 ◽

2007 ◽

Vol 145 (1) ◽

pp. 63-79 ◽

Cited By ~ 42

Author(s):

F. D. BEED ◽

N. D. PAVELEY ◽

R. SYLVESTER-BRADLEY

Keyword(s):

Solar Radiation ◽

Grain Yield ◽

Incident Light ◽

Dry Weight ◽

Water Soluble ◽

Growth And Yield ◽

Soluble Carbohydrates ◽

Total Solar Radiation ◽

Shoot Dry Weight ◽

Source And Sink

In seeking better predictions of grain yield under light-limited conditions, shading was applied to field-grown winter wheat cv. Slejpner during each of five consecutive phases (canopy expansion, ear expansion, pre-flowering, grain expansion and grain filling). Absolute measures were taken of solar radiation and its effects on growth in three seasons, at a site where water and nutrient supplies were not limiting. Replicate mobile shades automatically occluded 0·80 of incident light when mean total solar radiation exceeded 250 J/m2 per s. Mean effects over seasons of shading on incident total solar radiation were −296, −139, −78, −157 and −357 MJ/m2 for the five phases respectively, and corresponding effects on shoot dry weight were −236, −184, −58, −122 and −105 g/m2. Estimated efficiency of radiation use after flowering was 1·2 g/MJ unshaded, tending to increase with shading. Shading in all phases reduced grain dry matter yield: mean effects over seasons were −106, −64, −61, −93 and −281 g/m2 for the five consecutive shading periods. Shading from GS31–39 increased mean maximum area of the two top leaves from 2700 to 3100 mm2 per leaf but, with fewer stems, canopy size remained unaffected. This and the next shading, from GS39–55, reduced specific leaf weight from 42 g/m2 by 4 and 3 g/m2 respectively, but effects on shoot dry weight were largely due to stem and ear. By flowering, stem weights, and especially their reserves of water-soluble carbohydrates, had partially recovered. Effects on yield of shading from GS31–39 were explained by a reduction in grains/m2 of 3070 from 26109. Shading from GS39–55 reduced grains/m2 by 4211 due to fewer grains per ear, whilst mean weight per grain increased in compensation. Shading from GS55–61 decreased grains/ear by 2·5. Shading from GS61–71 decreased ear growth and reduced stem weight, and at harvest resulted in 4·3 less grains/ear. Effects of the final shading from GS71–87 were fully explained by a reduction in mean dry weight/grain of 10·3 mg. Except for shading from GS71–87, source- and sink-based explanations of grain yield both proved feasible, within the precision of the measurements. Constraints to accurate comparison of source- and sink-based approaches are identified, and the implications for yield forecasting are discussed.

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Evaluating temperature thresholds and optimizing sowing dates of wheat in Bihar

Journal of Agrometeorology ◽

10.54386/jam.v22i2.156 ◽

2021 ◽

Vol 22 (2) ◽

pp. 158-164

Author(s):

ABDUS SATTAR ◽

GULAB SINGH ◽

SHRUTI V. SINGH ◽

MAHESH KUMAR ◽

P. VIJAYA KUMAR ◽

...

Keyword(s):

Grain Yield ◽

Time Management ◽

Climate Scenario ◽

Significant Negative Correlation ◽

Adaptation Strategy ◽

Maximum Temperature ◽

Maturity Stage ◽

Gangetic Plains ◽

Temperature Regimes ◽

Sowing Dates

Studies on wheat-weather relationship were carried out at Pusa (25.98 oN, 85.67 oE, 52 m), Bihar situated in middle Gangetic plains of India, with three popular wheat cultivars viz. RW 3711, HD 2824 and HD273, grown under five fixed dates of sowing viz. 15 November, 25 November, 5 December, 15 December and 25 December, for five consecutive rabi seasons from 2011-12 to 2015-16. Thresholds of maximum temperature (Tmax), minimum temperature (Tmin) and bright sunshine hours (BSH), associated with higher productivity, occurring at different phenophases, were determined. Results revealed that temperature played a crucial role in achieving higher grain yield of wheat. Both Tmax and Tmin during flowering to milking and flowering to maturity phases increased with delayed sowing dates beyond 25 November with consequent reductions in grain yield. During 50 % flowering to milk stage, Tmax and Tmin above 24.6 oC and 11.6 oC, respectively, reduced grain yield below 4000 kg ha-1; significant reduction in grain yield was also noted beyond maximum temperature of 26.9 oC. During flowering to milk and flowering to maturity phases, Tmax and Tmin exhibited highly significant negative correlation with grain yield, indicating higher temperatures causing lower grain yield. With delayed sowing, sensitive phases of the crop experienced higher air temperatures which led to reduction in grain yield. An increase of Tmax from 29.2 to 32.1 oC during flowering to maturity phases reduced the wheat productivity drastically in this region of Indo-Gangetic plains. Grain yield declined by 399 kg ha-1 per 1 oC rise in Tmax during 50 % flowering to maturity stage. Considering grain yield vis-à-vis temperature regimes during flowering to maturity stage, the most important recommendation for the farmers of the region would be to finish wheat sowing before 25 November in order to enable them to escape terminal heat stress in wheat and thereby realizing higher grain yield. The anthesis-time management by manipulating sowing dates could be a realistic adaptation strategy for attaining optimum grain yield under changing climate scenario.

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Prediction of maximum or minimum air temperature in a coastal location in West Bengal

MAUSAM ◽

10.54302/mausam.v64i4.750 ◽

2021 ◽

Vol 64 (4) ◽

pp. 671-680

Author(s):

SUKUMAR LALAROY ◽

SANJIB BANDYOPADHYAY ◽

SWETA DAS

Keyword(s):

Solar Radiation ◽

Air Temperature ◽

Minimum Temperature ◽

West Bengal ◽

Global Solar Radiation ◽

Maximum Temperature ◽

Accurate Estimation ◽

Radiation Data ◽

Sunshine Hour ◽

Minimum Air Temperature

bl 'kks/k i= dk mÌs'; Hkkjrh; rVh; LFkku vFkkZr~ if'peh caxky ds vyhiqj ¼dksydkrk½ esa izsf{kr HkweaMyh; lkSj fofdj.k dh enn ls gjxzhCl fofdj.k QkWewZyk ls rkjh[kokj la'kksf/kr KRS irk djuk gS ftlls fd vkxs ;fn U;wure rkieku ¼Tmin½ Kkr gks rks vf/kdre rkieku ¼Tmax½ dk iwokZuqeku nsus esa vFkok blds foijhr] mi;ksx fd;k tk ldsA HkweaMyh; lkSj fofdj.k ds chp lglaca/k dh x.kuk rkjh[kokj fd, x, /kwi ds ?kaVkokj vk¡dM+ksa ds vkSlr ds mi;ksx ftlesa vkaXLVªkse izsLdkWV QkewZyk ls izkIr fu;rkad as = 0-25 vkSj bs = 0-5 gS] ls dh xbZZ gSA blesa izsf{kr fd, x, HkweaMyh; lkSj fofdj.k vkadM+ksa dk v/;;u fd;k x;k gSA ;g fuf'pr :i ls dgk tkrk gS fd vkaxLVªkse izsldkWV QkewZyk HkweaMyh; lkSj fofdj.k dk lVhd vkdyu djrk gS vkSj ;g lgh ik;k tkrk gSA bl 'kks/k i= esa gjxzhCl fofdj.k QkewZyk ¼ftles KRS = 0-19 fy;k x;k gS½ ls rkjh[kokj izkIr fd, x, vf/kdre rkiekuksa rFkk U;wure rkiekuksa ds vkSlr ¼vkadM+s Hkkjr ekSle foKku foHkkx ds vyhiqj] dksydkrk ftyk & 24 ijxuk ds dk;kZy; ls izkIr½ dk mi;ksx djds HkweaMyh; lkSj fofdj.k ds chp lglaca/k dh x.kuk dh xbZ gS vkSj bldk v/;;u izsf{kr HkweaMyh; lkSj fofdj.k ds lkFk Hkh fd;k x;k gSA rkjh[kokj la'kksf/kr KRS dh x.kuk gjxzhCl fofdj.k QkewZyk ls dh xbZA blesa HkweaMyh; lkSj fofdj.k ds izsf{kr vkadM+ksa] rkjh[kokj vf/kdre rkiekuksa vkSj U;wure rkiekuksa ds vkSlr mi;ksx esa fy, x, gSaA bls fdlh LVs'ku ds vf/kdre rkiekuksa vkSj U;wure rkieku vkadMksa ds rkjh[kokj KRS ds mi;ksx ds }kjk vkl ikl ds {ks=ksa ds ok"iksRltZu ds fy, HkweaMyh; lkSj fofdj.k dk vkdyu djus ds fy, Hkh mi;ksx esa yk;k tk ldrk gSA The objective of this study is to find the date wise corrected KRS from the Hargreaves Radiation formula with the help of observed global solar radiation for the Indian coastal location namely Alipore (Kolkata) in West Bengal so that subsequently it can be used for predicting maximum temperature Tmax if minimum temperature Tmin is known or vice-versa. The correlation between the global solar radiation calculated by using date wise average sunshine hour data with constants as = 0.25 and bs = 0.5, from Angstrom Prescott formula with the observed global solar radiation data was studied. The assertion that the Angstrom Prescott formula gives nearly accurate estimation of global solar radiation has been found to be correct. Correlation between the global solar radiation calculated by using date wise average of Tmax and Tmin (sourced from IMD located at Alipore, Kolkata, District - South 24 parganas) from Hargreaves Radiation formula (taking KRS = 0.19 ) with the observed global solar radiation data was also studied. Date wise corrected KRS by Hargreaves Radiation formula was computed using the observed data of global solar radiation, date wise average of maximum temperature Tmax and minimum temperature Tmin. The date wise corrected KRS can be used for better prediction of Tmax and Tmin. Also it can be used for estimation of global solar radiation for reference evapo-transpiration of the neighbourhood areas by utilizing the date wise KRS with the Tmax and Tmin of the station.

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Interaction of triapenthenol and environmental factors on the growth and flower bud formation of Gardenia jasminoides Ellis

Canadian Journal of Plant Science ◽

10.4141/p97-120 ◽

1998 ◽

Vol 78 (4) ◽

pp. 635-640 ◽

Cited By ~ 2

Author(s):

A. Kamoutsis ◽

A. Chronopoulou-Sereli ◽

C. Holevas

Keyword(s):

Relative Humidity ◽

Solar Radiation ◽

Growth Period ◽

Maximum Temperature ◽

Total Solar Radiation ◽

Total Radiation ◽

Flower Buds ◽

Flower Bud ◽

Gardenia Jasminoides ◽

Gardenia Jasminoides Ellis

The interaction effects between total solar radiation, air temperature and relative humidity with different concentrations of the plant growth regulator triapenthenol (Baronet) on the vegetative growth and the formation of flower buds of potted gardenia (Gardenia jasminoides Ellis) plants were studied in glasshouse experiments.Triapenthenol was applied as a soil drench at concentrations of 0, 70, 140 and 280 mg L–1 to plants under each of three radiation levels of about 250 (P1), 90 (P2) and 25 (P3) Wm−2. It was established that the maximum temperature was the most critical environmental factor to plant development at all radiation levels. Lengths of new lateral shoots after pinching and the number of flower buds/plant were significantly reduced when radiation was reduced and triapenthenol concentrations increased. The interaction between total radiation and triapenthenol concentration significantly affected the number of flower buds/plant. An increase in triapenthenol concentration and a reduction of total radiation caused increased wrinkling of the leaves.In the unshaded plot (P1), the 140 mg L−1 triapenthenol concentration produced high-quality plants that were shorter than the untreated ones with more flower buds/plant during the growth period. In the moderately shaded plot (P2), the best market-quality plants were those treated with 70 mg L−1 triapenthenol. Key words: Gardenia jasminoides, temperature, total solar radiation, triapenthenol, relative humidity

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Development and Evaluation of Two Pecan Scab Prediction Models

Plant Disease ◽

10.1094/pdis-03-11-0202 ◽

2012 ◽

Vol 96 (1) ◽

pp. 117-123 ◽

Cited By ~ 5

Author(s):

A. F. Payne ◽

D. L. Smith

Keyword(s):

Relative Humidity ◽

Solar Radiation ◽

Disease Severity ◽

Model Building ◽

Prediction Models ◽

Correlated Data ◽

Dew Point ◽

Total Solar Radiation ◽

Rain Event ◽

Pecan Scab

Fusicladium effusum (syn. Cladosporium caryigenum), causal agent of pecan scab, is the most economically important pathogen of pecan (Carya illinoinensis). A weather-based advisory is currently used in Oklahoma to assess the need for fungicide application and requires the accumulation of scab hours. A scab hour is defined as an hour of average temperature and relative humidity ≥ 21.1°C and 90%, respectively. To assess the validity of the thresholds in the advisory, repeated ratings of disease severity were taken on fruit each year during the 1994–96 and 2009–10 growing seasons. Hourly weather variables were also examined, including temperature, relative humidity, dew point, dew point depression, total solar radiation, and total rainfall. Rain and disease severity were converted to binomial variables where a rain event (≥2.5mm) and disease severity (≥25%) were coded as 1 and all other events as 0. Logistic regression models adjusted for correlated data were developed using generalized estimating equations. Two models were developed: a temperature/relative humidity model and a dew point/dew point depression model. For the temperature/relative humidity model, the best fitting model included all main effects. Using this model, validation exercises assuming no rain and total solar radiation of 22.5 MJ m–2 resulted in a 0.62 probability of pecan scab development when the temperature was 21°C and relative humidity was 90%. Findings of this model were further validated during field studies that evaluated different combinations of temperature and relative humidity thresholds for scheduling fungicide applications. These analyses indicated that the current thresholds of temperature and relative humidity are viable but a modification of the relative humidity component should be considered. For the dew point/dew point depression model, a reduced model, including dew point, dew point depression, and the binomial rain variable, was considered adequate for explaining scab events, which suggests that future model building to describe pecan scab epidemics should include dew point, dew point depression, rain, and total solar radiation as independent variables.

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Insolation and the Prediction of Maximum Temperatures

Bulletin of the American Meteorological Society ◽

10.1175/1520-0477-22.3.95 ◽

1941 ◽

Vol 22 (3) ◽

pp. 95-102 ◽

Cited By ~ 6

Author(s):

M. Neiburger

Keyword(s):

Solar Radiation ◽

Early Morning ◽

Lapse Rate ◽

Wave Radiation ◽

Maximum Temperature ◽

Total Solar Radiation ◽

Atmospheric Layer ◽

Long Wave ◽

Maximum Temperatures ◽

Long Wave Radiation

The amount of energy required to change the lapse rate of an atmospheric layer from one value to another is given by Q = (γ2 − γ1) QI whereis the energy required to change the layer of thickness zo and mean density ρm from isothermal to dry adiabatic conditions. The height to which a given amount of effective insolation will establish an adiabatic lapse rate may be found by means of this formula, given the temperature- height curve in the early morning, and from this the expected maximum temperature may be evaluated. Of the total solar radiation received at the ground, some is reflected, some goes to heat the earth's surface, some is sent back as long-wave radiation, some is used in evaporation, and the remainder is effective in heating the lower layers of the atmosphere. Estimates are made of the amounts used in the first four ways. These amounts subtracted from the average insolation received on clear days leave the effective insolation for changing the lapse rate near the ground. The effective insolation at Chicago is arrived at in this way. Using these values, the maximum temperature was computed for several days when advective change was expected to be slight. The agreement with observation was found to be excellent.

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EFFECT OF SOWING DATE ON GRAIN YIELD OF CRAB GRASS

Acta Agronomica Hungarica ◽

10.1556/aagr.49.2001.3.10 ◽

2001 ◽

Vol 49 (3) ◽

pp. 293-297

Author(s):

S. O. Bakare ◽

M. G. M. Kolo ◽

J. A. Oladiran

Keyword(s):

Grain Yield ◽

Interaction Effect ◽

Significant Interaction ◽

Sowing Date ◽

Yield Data ◽

Significant Interaction Effect ◽

Sowing Dates

There was a significant interaction effect between the variety and the sowing date for the number of productive tillers, indicating that the response to sowing date varied with the variety. A significant reduction in the number of productive tillers became evident when sowing was delayed till 26 June in the straggling variety as compared to sowing dates in May. Lower numbers of productive tillers were also recorded when the sowing of the erect variety was further delayed till 10 July. The grain yield data showed that it is not advisable to sow the straggling variety later than 12 June, while sowing may continue till about 26 June for the erect variety in the study area.

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Effect of micronutrients foliar spray on thermal Indices, phenology and yield of Lentil in new Alluvial Zone of West Bengal

Journal of AgriSearch ◽

10.21921/jas.v7i04.19390 ◽

2020 ◽

Vol 7 (04) ◽

Author(s):

V VISHA KUMARI ◽

PURABI BANERJEE ◽

ROSHNI VIJAYAN ◽

RAJIB NATH ◽

KAJAL SENGUPTA ◽

...

Keyword(s):

West Bengal ◽

Foliar Spray ◽

Control Treatment ◽

Thermal Unit ◽

Degree Days ◽

Thermal Indices ◽

Sowing Dates ◽

Stover Yield ◽

Yield Responses ◽

Sunshine Hour

A field experiment was conducted at BCKV during Rabi, 2018-19 and 2019-20 to study the effect of Zn, Fe and B foliar spray on phenology and thermal indices of popular lentil variety, Moitree (WBL 77) under different sowing condition [1st week of November (normal) and 1st week of December (late)]. Delay in sowing of crop from November to December reduced the crop duration by 11.4 days (113.4 days vs 101.7 days). The variation in mean daily temperature and bright sunshine hour among two sowing dates resulted in varied accumulated Growing Degree Days (GDD), Helio Thermal Units (HTU) as well as Photo Thermal Unit (PTU). It was found that different dates of sowing have a larger impact on change in phenology of the crop and thus affect various thermal indices. Foliar spraying of micronutrients viz., B + Fe @ 0.5% produced significantly higher seed and stover yield of 1438 kg ha-1 and 3981 kg ha-1 respectively, which were 86.26% and 27.0% more than that obtained from the control treatment (772 and 3134 kg ha-1). The study conducted revealed that along with optimum date of sowing, spraying micronutrients especially a mixture of [email protected] % and [email protected] % could also bring in change of phenology to some extent. This may help in better accumulation of photosynthate hence, improving the yield responses of lentil.

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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 ◽

10.3390/atmos12070927 ◽

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.

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