Water–nitrogen relationships for wheat growth and productivity in late sown conditions

Kibe, A.M.; Singh, Sukhvinder; Kalra, Naveen

doi:10.1016/j.agwat.2006.02.010

Cited by 55 publications

(21 citation statements)

References 9 publications

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“…ANOVA showed that there was a statistical difference among the grain yield of the different treatments at P < 0.05. A similar observation was reported by Tavakkoli and Oweis () and Kibe et al (). Also, there was no statistical difference among the yields for each growing season.…”

Section: Resultssupporting

confidence: 91%

“…A large volume of research is available on the influence of irrigation and fertilizer N on wheat (Prihar et al , ; Eck, ; El Mejahed and Aouragh, ; Rusan et al , ) and empirical analysis for computing combinations of water and N for realizing different yield targets (Gajri et al , ). A field experiment was conducted by Kibe et al () to study nitrogen–water relationships in late cultivation of a wheat crop with adequate and limited irrigation regimes. Arora et al () analysed wheat yield responses to water and N‐application for optimizing crop productivity under water limitations in a semi‐arid subtropical irrigated environment.…”

Section: Introductionmentioning

confidence: 99%

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Effects of Seasonal Water Use and Applied N Fertilizer on Wheat Water Productivity Indices

Montazar

Azadegan

2011

Irrigation and Drainage

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A field experiment was conducted for three growing seasons to study the effects of seasonal water use and applied N fertilizer on grain yield and water productivity indices of wheat in an arid region. The results revealed that the yield response to N was associated with water application levels. The water productivity indices were influenced by irrigation strategies, and deficit irrigation effectively boosted productivity of irrigation water (WP I ). The highest WP I was obtained at a seasonal irrigation water of 156 mm for different levels of applied nitrogen . For levels of applications 70% of the required nitrogen, required nitrogen, and 120% of the required nitrogen, WP I ranged between 0.93 and 2.28, 1.30 and 2.75, and 0.98 and 2.47 kg m −3 , respectively. The data generated here indicate that maximum water productivity (WP E ) would be achieved when 98 kg N ha ). Par conséquent, la combinaison d'un apport d'eau restreint avec une gestion appropriée des engrais azotés permet d'augmenter sensiblement et régulièrement la productivité de l'eau d'une culture de blé dans les régions arides.

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Section: Resultssupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Effects of Seasonal Water Use and Applied N Fertilizer on Wheat Water Productivity Indices

Montazar

Azadegan

2011

Irrigation and Drainage

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“…In the current study, assuming other factors constant, an increase in temperature under optimal N supply is expected to reduce wheat yield. However, many studies have shown the good performance of wheat under the baseline climate with higher N levels (Mandal et al 2005;Kibe et al 2006).…”

Section: Discussionmentioning

confidence: 99%

The challenges and opportunities for wheat production under future climate in Northern Ethiopia

et al. 2016

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SUMMARYWheat is an important crop in the highlands of Northern Ethiopia and climate change is expected to be a major threat to wheat productivity. However, the potential impacts of climate change and adaptation on wheat yield has not been documented for this region. Wheat field experiments were carried out during the 2011–2013 cropping seasons in Northern Ethiopia to: (1) calibrate and evaluate Agricultural Production Systems sIMulator (APSIM)-wheat model for exploring the impacts of climate change and adaptation on wheat yield; (2) explore the response of wheat cultivar/s to possible change in climate and carbon dioxide (CO2) under optimal and sub-optimal fertilizer application and (3) assess the impact of climate change and adaptation practices on wheat yield based on integration of surveyed field data with climate simulations using multi-global climate models (GCMs; for short- and mid-term periods) for the Hintalo-Wajrat areas of Northern Ethiopia. The treatments were two levels of fertilizer (optimal and zero fertilization); treatments were replicated three times and arranged in a randomized complete block design. All required information for model calibration and evaluation were gathered from experimental studies. In addition, a household survey was conducted in 2012 in Northern Ethiopia. Following model calibration and performance testing, response of wheat to various nitrogen (N) fertilizer rates, planting date, temperature and combinations of other climate variables and CO2 were assessed. Crop simulations were conducted with future climate scenarios using 20 different GCMs and compared with a baseline. In addition, simulations were carried out using climate data from five different GCM with and without climate change adaptation practices. The simulated yield showed clear responses to changes in temperature, N fertilizer and CO2. Regardless of choice of cultivar, increasing temperatures alone (by up to 5 °C compared with the baseline) resulted in reduced yield while the addition of other factors (optimal fertilizer with elevated CO2) resulted in increased yield. Considering optimal fertilizer (64 kg/ha N) as an adaptation practice, wheat yield in the short-term (2010–2039) and mid-term (2040–2069) may increase at least by 40%, compared with sub-optimal N levels. Assuming CO2 and present wheat management is unchanged, simulation results based on 20 GCMs showed that median wheat yields will reduce by 10% in the short term and by 11% in the mid-term relative to the baseline data, whereas under changed CO2 with present management, wheat yield will increase slightly, by up to 8% in the short term and by up to 11% in the mid-term period, respectively. Wheat yield will substantially increase, by more than 100%, when simulated based on combined use of optimal planting date and fertilizer applications. Increased temperature in future scenarios will cause yield to decline, whereas CO2 is expected to have positive impacts on wheat yield.

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“…Grain yield increased linearly with increase in N rate and maximum grain yield could be achieved at 160 to 200 kg·N·ha −1 during Y1 (6453 -6912 kg·ha −1 ), Y2 (6326 -6777 kg·ha −1 ), and mean over years (6390 -6845 kg·ha −1 ), while minimum grain yield (2042 -2083 kg·ha −1 ) was recorded from control. The increase in grain yield at higher N rate is mainly due to increased radiation interception driven by a rise in growth rate, leaf area and leaf area index, which ultimately increased grain yield [18]. Moreover, the highest grain yield is the result of increased spikes m −2 , grains spike −1 and 1000-grain weight.…”

Section: Grain Yieldmentioning

confidence: 99%

Effect of Tillage and Nitrogen on Wheat Production, Economics, and Soil Fertility in Rice-Wheat Cropping System

Khalid¹,

Khan²,

Khan³

et al. 2013

AJPS

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Conservation tillage and nitrogen may improve soil fertility, yield and income on sustainable basis. The aim of this study was to evaluate the impact of three tillage systems viz. zero (ZT), reduced (RT), and conventional tillage (CT) and five N rates (0, 80, 120, 160, and 200 kg·N·ha^-1) on yield and yield components, soil organic matter (SOM), total soil N (TSN), and income of wheat (Triticum aestivum L.) grown after rice (Oryza sativa L.). Nitrogen rates significantly affected yield and yield attributing characters with highest values recorded at200 kg·N·ha^-1. Mean maximum grain yield (6390 -6845 kg·ha^-1), net benefit (1359 - 1460 US$ ha^-1), and benefit cost ratio (5.6 - 5.7) could be achieved at 160 to200 kg·N·ha^-1. The tillage systems produced similar yield and yield components except spikes m^-2. The SOM and TSN were highest in ZT compared to other tillage systems. Though tillage × N interactions were not significant for most of the parameters under study, the overall effect of ZT with200 kg·N·ha^-1 appeared to be most favorable compared to RT and CT. Zero tillage resulted in highest number of spikes m^-2 (304.4), SOM (9.6 g·kg^-1) and TSN (0.5 g·kg^-1) with200 kg·N·ha^-1. The results suggest that ZT with200 kg·N·ha^-1 was optimum and sustainable strategy to achieve higher yield and income and also to improve SOM and TSN on silty clay soil.

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Water–nitrogen relationships for wheat growth and productivity in late sown conditions

Cited by 55 publications

References 9 publications

Effects of Seasonal Water Use and Applied N Fertilizer on Wheat Water Productivity Indices

Effects of Seasonal Water Use and Applied N Fertilizer on Wheat Water Productivity Indices

The challenges and opportunities for wheat production under future climate in Northern Ethiopia

Effect of Tillage and Nitrogen on Wheat Production, Economics, and Soil Fertility in Rice-Wheat Cropping System

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