Assessing the impact of climate variations on wheat yield in north-west India using GIS

Kingra, P. K.; Setia, Raj; Kaur, Jatinder; Singh, Sukhwinder; Singh, Surender; Kukal, S. S.

doi:10.1007/s41324-018-0174-2

Cited by 8 publications

(5 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Unlike rice, the CV of wheat spike number was higher than that of spikelets per spike and grain weight; the volatility of dry matter accumulation before jointing was higher than the jointing-heading and heading-maturity stage. It implied that the source of wheat yield fluctuation more came from before jointing, attributable to the climatic characteristics of growth region and water management in wheat [21,22,26]. On the one hand, due to the high frequency of precipitation and the high groundwater level in the lower reaches of the Yangtze River, water management in wheat production was mainly based on drainage and waterlogging reduction [41].…”

Section: Optimized Nutrient Strategy and Stability Of Annual Yield In...mentioning

confidence: 99%

“…Yield losses caused by nighttime warming were higher than daytime owing to enhance respiration to consume carbohydrates [25]. Stepwise regression showed that minimum temperature explained 44% of the variability in wheat yield, respectively, in northwear India [26]. However, previous reports showed that the sensitivity of crops to weather changes at different growth stages was different and more than seasonal changes [27][28][29].…”

Section: Introductionmentioning

confidence: 97%

See 1 more Smart Citation

Study on the Nutrient Optimal Management Strategy of High and Stable Annual Yield in the Rice–Wheat System: A 10-Year Term Experiment

Guo-fa

Zhang

et al. 2022

Agronomy

View full text Add to dashboard Cite

What strategy of nutrient management can maintain the high and stable annual yield in rice–wheat systems under climate change? A 10-year term experiment was conducted in the rice–wheat system to investigate the effect of optimal nutrient management on crop yield and meteorological drivers of year-to-year fluctuations in rice and wheat yield. Treatments were as follows: conventional fertilization (CF, as control), fertilizer postponing (FP, with the same amount fertilization as CF and increasing rate and times of panicle fertilizer) with/without straw incorporation (including only straw returned in rice (W) or wheat (R) season, and both straw incorporation (WS), RFP (reducing amount based on FP) with/without organic fertilizer. Results showed that FP with/without straw incorporation increased 10-year average yields of rice, wheat, and annual by 4.5~6.5%, 3.8~7.2%, and 4.8~6.8%, respectively, while RFP with/without organic fertilizer did not markedly reduce wheat yield, compared with CF. Effect of optimal treatments on wheat and rice yield stability was different; among the annual yield stability in FP + WRS was the greatest due to increasing and a stable number of spikelets and dry matter accumulation (DMA) after heading. Furthermore, the coefficient of variation (CV) of DMA during rice jointing-heading (21.6~30.0%) and heading-maturity stage (20.1~27.9%) was higher than before jointing (13.9~16.7%), which were affected by day photosynthetically active radiation (explain: 26%) and the number of rainy days (explain: 34%), respectively, using Stepwise regression; in contrast, in wheat season, the fluctuation of DMA before jointing was the highest (CV: 83.8~109.9% (before jointing) vs. 61.1~97.4% (heading-mature stage) vs. 33.7~46.3% (jointing-heading period), 55% of its variations was impacted by day-night temperature differences, the number of rainy days and photosynthetically active radiation accumulation. Our finding suggested that nutrient management to increase and stable the DMA after rice jointing and before wheat jointing could maintain the high and stable annual yield in rice–wheat systems.

show abstract

Section: Optimized Nutrient Strategy and Stability Of Annual Yield In...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

Study on the Nutrient Optimal Management Strategy of High and Stable Annual Yield in the Rice–Wheat System: A 10-Year Term Experiment

Guo-fa

Zhang

et al. 2022

Agronomy

View full text Add to dashboard Cite

show abstract

“…A considerable amount of research work has been carried out in the area of precision farming using satellite-based remote sensing, and the results are auspicious. Research work including wheat yield variation due to climate variation [55], mapping of irrigated areas using AVHRR time series analysis [56], estimation of crop yield [57][58][59], Crop water stress management [60,61], forest cover classification and monitoring [62] has impacted Indian and global agriculture in terms of productivity analysis and farming management. However, this technique is somewhat limited to coarse resolution and cloud cover, Later on, UAS introduced the cheaper and low altitude alternative to providing high-resolution images.…”

Section: Applicationsmentioning

confidence: 99%

Unmanned Aerial Vehicle Classification, Applications and Challenges: A Review

Singhal¹,

Bansod²,

Mathew³

2018

Preprint

View full text Add to dashboard Cite

In past few years, unmanned aerial vehicles (UAV) or drones has been a hot topic encompassing technology, security issues, rules and regulations globally due to its remarkable advancements and uses in remote sensing and photogrammetry applications. This review paper highlights the evolution and development of UAV, classification and comparison of UAVs along with Hardware and software design challenges with diverse capabilities in civil and military applications. Further, safety and security issues with drones, existing regulations and guidelines to fly the drone, limitations and possible solutions have also been discussed.

show abstract

“…Cool climate during early wheat growth aids optimal development, while high temperatures during tillering reduce yield. In contrast, cool climates in later growth stages accelerate grain formation (Kingra et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Effect of Weather Parameters on Wheat Productivity: A Statistical Analysis Using SPSS

Negi,

Rana,

Singh

et al. 2023

IJBSM

View full text Add to dashboard Cite

The present study was conducted during the year March, 2021 to March, 2022 at Krishi Vigyan Kendra (KVK) Baghpat, Uttar Pradesh, India under Gramin Krishi Mausam Seva-District Agromet Unit (GKMS-DAMU) scheme to identify the effects of weather parameters on wheat productivity in two districts of Uttar Pradesh, namely Baghpat and Meerut for the five rabi seasons (October-April) from 2012 to 2017 using statistical analysis technique in the Statistical Package for the Social Sciences (SPSS). The study utilized in-situ collected weekly data of weather parameters viz., bright sunshine hours, maximum temperature, minimum temperature, rainfall, maximum relative humidity, minimum relative humidity and wind speed. The data of wheat yield (t ha-1) was collected from Directorate of Economics and Statistics, Department of Agriculture website (http://aps.dac.gov.in/APY/Public_Report1.aspx). The SPSS analysis revealed that weather conditions play a significant role in wheat productivity in both districts. The results showed that maximum temperature during April first week had a positive correlation with wheat yield for Baghpat district. Meanwhile, in Meerut, the most significant weather parameters that affected wheat yield were February’s fourth week rainfall, followed by bright sunshine hours of March third week, and minimum relative humidity of April third week. It was also observed that intense rainfall reduced wheat yield in Meerut during the 2014–15 Rabi season. The findings of present study could be useful for policymakers & farmers in developing strategies to improve wheat productivity. The study emphasized the importance of considering local weather conditions for better decision making in agricultural operations.

show abstract

Assessing the impact of climate variations on wheat yield in north-west India using GIS

Cited by 8 publications

References 12 publications

Study on the Nutrient Optimal Management Strategy of High and Stable Annual Yield in the Rice–Wheat System: A 10-Year Term Experiment

Study on the Nutrient Optimal Management Strategy of High and Stable Annual Yield in the Rice–Wheat System: A 10-Year Term Experiment

Unmanned Aerial Vehicle Classification, Applications and Challenges: A Review

Effect of Weather Parameters on Wheat Productivity: A Statistical Analysis Using SPSS

Contact Info

Product

Resources

About