scholarly journals Optimal Ridge–Furrow Ratio for Maximum Drought Resilience of Sunflower in Semi-Arid Region of China

2019 ◽  
Vol 11 (15) ◽  
pp. 4047
Author(s):  
Yuying Pan ◽  
Xuebiao Pan ◽  
Tan Zi ◽  
Qi Hu ◽  
Jing Wang ◽  
...  

Ridge–furrow planting is often applied in semi-arid regions to reduce the drought risk on crop yield under rain-fed conditions. Sunflower (Helianthus annuus L.) is widely planted in northern China and how to reduce the drought risk on sunflower production remains a significant issue. A three-year field experiment with seven treatments (a flat plot without mulching, three plastic film-mulching treatments and three non-film-mulching treatments with different ridge–furrow ratios (1.0 m:1.0 m, 1.0 m:0.5 m and 0.5 m:1.0 m)) was conducted to study the effects of the ridge–furrow rainwater harvesting system on the rain-fed sunflower. The results showed that the sunflowers in the film-mulched treatment with the larger ridge–furrow ratio (1.0 m:0.5 m) (M1R2) had greater growth advantage under drought conditions. In the dry year, M1R2 improved the yield and water use efficiency by 11.9%–107.5% and 13.8%–120.6%, respectively, and reduced the blight grain rate by 21.5%–32.5% with less evapotranspiration (ET) compared to other treatments. Based on the historical climatological data, the guarantee rate of sunflower water requirement for M1R2 was about 75%, while the guarantee rates for the other two film-mulched treatments were only about 40% and 50%. Based on the effects of drought resilience and the characteristics of precipitation, M1R2 is recommended to be the relatively optimal treatment for sunflower production in regions with similar climatic conditions to Wuchuan County in northern China.

Atmosphere ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 927
Author(s):  
Jamshad Hussain ◽  
Tasneem Khaliq ◽  
Muhammad Habib ur Rahman ◽  
Asmat Ullah ◽  
Ishfaq Ahmed ◽  
...  

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.


2018 ◽  
Vol 67 (4) ◽  
pp. 501-511
Author(s):  
José Sebastião de Melo Filho ◽  
Mário Leno Martins Véras ◽  
Toshik Larley Da Silva ◽  
Lunara De Sousa Alves ◽  
Thiago Jardelino Dias

Maracujá-do-mato (Passiflora cincinnata) is a species adapted to the climatic conditions of the Brazilian semi-arid region and widely used as rootstock, however, studies related to the production of seedlings and their resistance to abiotic stresses are scarce in literature. The objective was to study the production of maracujá-do-mato seedlings under the effect of the electrical conductivity on the irrigation water as a function of the application of organic fertilizers. The experiment was developed at the State University of Paraíba, Catolé do Rocha-PB, in a completely randomized experimental design, in a 5 x 3 factorial scheme, with 6 replicates. The factors evaluated were five electrical conductivities of irrigation water (ECw: 1; 2; 3; 4 and 5 dS m-1) and application of three organic fertilizers (bovine urine, bovine biofertilizer and liquid earthworm humus). It was verified that the increase of ECw affected the morphology and the quality of the seedlings negatively, while the bovine biofertilizer presented better efficiency in comparison to the others. It is inferred that the use of organic fertilizers as mitigating effects of salinity may be a strategy for production of maracujá-do-mato seedlings in saline conditions.


2018 ◽  
Vol 50 (1) ◽  
pp. 282-300 ◽  
Author(s):  
Hadi Farzanpour ◽  
Jalal Shiri ◽  
Ali Ashraf Sadraddini ◽  
Slavisa Trajkovic

Abstract Accurate estimation of reference evapotranspiration (ETo) is a major task in hydrology, water resources management, irrigation scheduling and determining crop water requirement. There are many empirical equations suggested by numerous references in literature for calculating ETo using meteorological data. Some such equations have been developed for specific climatic conditions while some have been applied universally. The potential for usage of these equations depends on the availability of necessary meteorological parameters for calculating ETo in different climate conditions. The focus of the present study was a global cross-comparison of 20 ETo estimation equations using daily meteorological records of 10 weather stations (covering a period of 12 years) in a semi-arid region of Iran. Two data management scenarios, namely local and cross-station scenarios, were adopted for calibrating the applied equations against the standard FAO56-PM model. The obtained results revealed that the cross-station calibration might be a good alternative for local calibration of the ETo models when proper similar stations are used for feeding the calibration matrix.


2020 ◽  
Vol 167 ◽  
pp. 135-154 ◽  
Author(s):  
Billel Boumaaraf ◽  
Houria Boumaaraf ◽  
Mohamed El-Amine Slimani ◽  
Selma Tchoketch_Kebir ◽  
Mohamed Salah Ait-cheikh ◽  
...  

2020 ◽  
Vol 284 ◽  
pp. 107904
Author(s):  
Zuosinan Chen ◽  
Zhiqiang Zhang ◽  
Ge Sun ◽  
Lixin Chen ◽  
Hang Xu ◽  
...  

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