scholarly journals Factors Responsible for Yield Gap of Wheat at Farmers’ Field in Two Districts of Bangladesh

2013 ◽  
Vol 23 (1-2) ◽  
pp. 91-99 ◽  
Author(s):  
MA Kashem ◽  
MAM Miah ◽  
MA Islam ◽  
PC Roy
Keyword(s):  
Wheat Yield ◽  
Yield Gap ◽  
Sowing Time ◽  
Wheat Varieties ◽  
Wheat Production ◽  
Wheat Field ◽  
Yield Gaps ◽  
Practice Gaps ◽  
Practice Gap ◽  
Late Sowing

The main purpose of the research was to identify factors responsible for yield gap in wheat production. Eighteen (18) experiments were conducted in two major wheat growing districts Rangpur and Dinajpur in two consecutive years. The selected varieties for the conducted research were Prodip, Satabdi and Sourav. All the experiments were established in farmers’ fields providing all recommendations for wheat production. It was observed that yield gap varied with the variety and farmers to farmers and location to location. The overall yield gap of Prodip was the highest (18.43 percent) followed by Sourav (18.15 percent) and Satabdi (17.45 percent). Yield gaps of all the wheat varieties under study were higher in Rangpur site than Dinajpur site. The practice gap was the highest in gypsum application (69 percent) followed by boron (67 percent), sowing time (40 percent). Practice gaps in the application of MoP, TSP and irrigation were almost equal, 40 percent, 37 percent, and 36 percent respectively. Late sowing, non use of dolomite and micro nutrients (zinc and boron) in wheat yield with sub-optimal doses of phosphatic and potash fertilizers were the main reasons for yield gap. Adoption of short duration T. aman variety and optimal doses of chemical fertilizers with micro nutrients in wheat field could minimize this gap to a greater extent. Preventive measures against bird attack after sowing of seeds for optimum plant population would have impact in narrow down this yield gap as well.DOI: http://dx.doi.org/10.3329/pa.v23i1-2.16620Progress. Agric. 23(1 & 2): 91 – 99, 2012

scholarly journals Wheat yield gaps across smallholder farming systems in Ethiopia

2021 ◽  
Vol 41 (1) ◽  
Author(s):  
João Vasco Silva ◽  
Pytrik Reidsma ◽  
Frédéric Baudron ◽  
Moti Jaleta ◽  
Kindie Tesfaye ◽  
...  
Keyword(s):  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Wheat Yield ◽  
Farming Systems ◽  
Smallholder Farming ◽  
Yield Gap ◽  
Frontier Analysis ◽  
Ecological Zones ◽  
Relative Contribution ◽  
Yield Gaps

AbstractWheat yields in Ethiopia need to increase considerably to reduce import dependency and keep up with the expected increase in population and dietary changes. Despite the yield progress observed in recent years, wheat yield gaps remain large. Here, we decompose wheat yield gaps in Ethiopia into efficiency, resource, and technology yield gaps and relate those yield gaps to broader farm(ing) systems aspects. To do so, stochastic frontier analysis was applied to a nationally representative panel dataset covering the Meher seasons of 2009 and 2013 and crop modelling was used to simulate the water-limited yield (Yw) in the same years. Farming systems analysis was conducted to describe crop area shares and the availability of land, labour, and capital in contrasting administrative zones. Wheat yield in farmers’ fields averaged 1.9 t ha− 1 corresponding to ca. 20% of Yw. Most of the yield gap was attributed to the technology yield gap (> 50% of Yw) but narrowing efficiency (ca. 10% of Yw) and resource yield gaps (ca. 15% of Yw) with current technologies can nearly double actual yields and contribute to achieve wheat self-sufficiency in Ethiopia. There were small differences in the relative contribution of the intermediate yield gaps to the overall yield gap across agro-ecological zones, administrative zones, and farming systems. At farm level, oxen ownership was positively associated with the wheat cultivated area in zones with relatively large cultivated areas per household (West Arsi and North Showa) while no relationship was found between oxen ownership and the amount of inputs used per hectare of wheat in the zones studied. This is the first thorough yield gap decomposition for wheat in Ethiopia and our results suggest government policies aiming to increase wheat production should prioritise accessibility and affordability of inputs and dissemination of technologies that allow for precise use of these inputs.

Multi-scale assessment of winter wheat yield gaps with an integrated evaluation framework in the Huang-Huai-Hai farming region in China

2019 ◽  
Vol 157 (6) ◽  
pp. 523-536
Author(s):  
S. Li ◽  
J. Liu ◽  
M. Shang ◽  
H. Jia ◽  
Y. Feng ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Wheat Yield ◽  
Evaluation Framework ◽  
High Yield ◽  
Limiting Factor ◽  
Yield Gap ◽  
Multi Scale ◽  
Winter Wheat Yield ◽  
Yield Gaps ◽  
Attainable Yield

AbstractQuantifying reasonable crop yield gaps and determining potential regions for yield improvement can facilitate regional plant structure adjustment and promote crop production. The current study attempted to evaluate the yield gap in a region at multi-scales through model simulation and farmer investigation. Taking the winter wheat yield gap in the Huang-Huai-Hai farming region (HFR) for the case study, 241 farmers’ fields in four typical high-yield demonstration areas were surveyed to determine the yield limitation index and attainable yield. In addition, the theoretical and realizable yield gap of winter wheat in 386 counties of the HFR was assessed. Results showed that the average field yield of the demonstration plots was 8282 kg/ha, accounting for 0.72 of the potential yield, which represented the highest production in the region. The HFR consists of seven sub-regions designated 2.1–2.7: the largest attainable yield gap existed in the 2.6 sub-region, in the southwest of the HFR, while the smallest was in the 2.2 sub-region, in the northwest of the HFR. With a high irrigated area rate, the yield gap in the 2.2 sub-region could hardly be reduced by increasing irrigation, while a lack of irrigation remained an important limiting factor for narrowing the yield gap in 2.3 sub-region, in the middle of the HFR. Therefore, a multi-scale yield gap evaluation framework integrated with typical field survey and crop model analysis could provide valuable information for narrowing the yield gap.

scholarly journals Determination and Assessments the Yield Gap Between the Wheat Yield and Potential Yield in Turkey

2018 ◽  
Vol 6 (10) ◽  
pp. 1339
Author(s):  
Bekir Atar
Keyword(s):  
Climatic Factors ◽  
Wheat Yield ◽  
Growing Season ◽  
Steady Increase ◽  
Yield Gap ◽  
Potential Production ◽  
Potential Yield ◽  
Genetic Characteristics ◽  
Wheat Production ◽  
Actual Yield

Knowing the current and the potential production amount of wheat is essential to meet the growing needs. Yield is determined by many factors. The main factors that limit the potential yield are genetic characteristics, and climatic factors such as rainfall and radiation, and management. Wheat is mostly grown in non-irrigated areas in Turkey. The most significant factors that limit dry agriculture wheat production yield in the Mediterranean climatic type are rainfall and its distribution in the growing season. A steady increase in yield is observed in Turkey in recent years. Average annual wheat production is 20.6 million tons. The potential production in this work is determined as 54 million tons. The gap is about 33 million ton. The actual production is 39% of the potential production. The average yield of the Growing Season Rainfall (GSRF) 500 mm areas is 2.2 t ha-1, and the potential yield is 8.8 t ha-1. The gap between the actual yield and potential yield is quite large. The current yield between the areas (GSRF 500 mm) is very small. So it is difficult to explain the gap just because of the rainfall.

scholarly journals Sowing time and varietal performance of wheat at higher elevation in hill environment at Khagrachari

2016 ◽  
Vol 40 (4) ◽  
pp. 521-528
Author(s):  
M Ataur Rahman ◽  
M Mohabbatullah ◽  
CK Das ◽  
UK Sarker ◽  
SMM Alam
Keyword(s):  
Environmental Conditions ◽  
Agricultural Research ◽  
Wheat Variety ◽  
Experimental Result ◽  
Research Station ◽  
Sowing Time ◽  
Wheat Varieties ◽  
Hilly Region ◽  
Experimental Soil ◽  
Late Sowing

The field experiment was conducted at the Hill Agricultural Research Station, BARI, Khagrachari for the two consecutive years (2009-10 and 2010-11) to find out the wheat variety suitable for hilly environment and investigate the interaction of sowing dates and varieties to recommend the promising variety with proper sowing time. The experiment was laid out in split-plot design with three replications where three dates of sowing (Nov. 20, Nov. 30 and Dec. 10) were assigned in the main plots and five modern wheat varieties (Shatabdi, Sufi, Sourav, Bijoy and Prodip) were tested in the sub-plots. The yield responses of wheat varieties during the two years showed that there were significant varietal differences under the experimental soil and environmental conditions. The variety Bijoy gave maximum grain yield closely followed by Sourav in both years. Shatabdi produced higher yield under early sowing (Nov. 20) but yield was decreased due to late sowing (Dec. 10). Initially the plant population and finally spikes/m2 were affected by late sowing that caused less yield in Shatabdi. The mean yield of all varieties pulled over the sowing time indicated that wheat yield was not affected due to delay sowing up to 10th December. The experimental result demonstrated that Shatabdi could be recommended only for early sowing whereas Bijoy and Sourav could be recommended both for early and late sowing under the experimental soil and environmental conditions at hilly region of Khagrachari.Bangladesh J. Agril. Res. 40(4): 521-528, December 2015

scholarly journals Technical efficiency of wheat farmers and options for minimizing yield gaps in Afghanistan

2017 ◽  
Vol 46 (1) ◽  
pp. 13-19 ◽  
Author(s):  
Srinivas Tavva ◽  
Aden Aw-Hassan ◽  
Javed Rizvi ◽  
Yashpal Singh Saharawat
Keyword(s):  
Technical Efficiency ◽  
Production Systems ◽  
Stochastic Frontier ◽  
Agricultural Practices ◽  
Potential Yield ◽  
Wheat Varieties ◽  
Wheat Production ◽  
Large Yield ◽  
Yield Gaps ◽  
Effective Transfer

Afghanistan is a net importer of wheat which is the staple food in the country. In order to improve the levels of food sufficiency, prevailing large yield gaps in wheat need to be reduced. This study assessed the reasons/factors influencing low wheat productivity and/or large yield gaps in different production systems in five major wheat-producing provinces in Afghanistan using a stochastic frontier production function model. The results indicated that the mean technical efficiency of wheat farmers was 0.67, and there was clear scope to improve wheat production by 33% in the short run with the same level of inputs. The potential yield gap could be reduced if adoption of good agricultural practices such as the use of improved wheat varieties with recommended seed rates was promoted through more effective transfer of technologies (training and extension) in the target provinces. Such efforts would help improve domestic wheat production and reduce dependency on wheat imports.

scholarly journals Using Satellite Data to Optimize Wheat Yield and Quality under Climate Change

2021 ◽  
Vol 13 (11) ◽  
pp. 2049
Author(s):  
Shilo Shiff ◽  
Itamar M. Lensky ◽  
David J. Bonfil
Keyword(s):  
Land Surface ◽  
Wheat Yield ◽  
Grain Filling ◽  
High Temperature Stress ◽  
Climatic Conditions ◽  
Google Earth ◽  
Sowing Time ◽  
Wheat Field ◽  
Yield And Quality ◽  
Grain Filling Period

Climatic conditions during the grain-filling period are a major factor affecting wheat grain yield and quality. Wheat in many semi-arid and arid areas faces high-temperature stress during this period. Remote sensing can be used to monitor both crops and environmental temperature. The objective of this study was to develop a tool to optimize field management (cultivar and sowing time). Analysis of 155 cultivar experiments (from 10 growth seasons) representing different environmental conditions revealed the required degree-days for each Israeli spring wheat cultivar to reach heading (from emergence). We developed a Google Earth Engine (GEE) app to analyze time series of gap-filled 1 km MODIS land surface temperature (LSTcont). By changing the cultivar and/or emergence date in the GEE app, the farmer can “expose” each wheat field to different climatic conditions during the grain-filling period, thereafter enabling him to choose the best cultivar to be sown in the field with the right timing. This approach is expected to reduce the number of fields that suffer from heat stress during the grain-filling period. The app can be also used to assess the effects of different global warming scenarios and to plan adaptation strategies in other regions too.

scholarly journals Differences in Aceria tosichella population responses to wheat resistance genes and wheat virus transmission

2019 ◽  
Vol 13 (6) ◽  
pp. 807-818 ◽  
Author(s):  
Luaay Khalaf ◽  
Wen-Po Chuang ◽  
L. M. Aguirre-Rojas ◽  
Peter Klein ◽  
C. Michael Smith
Keyword(s):  
Resistance Gene ◽  
Resistance Genes ◽  
Wheat Yield ◽  
The United States ◽  
High Plains ◽  
Yield Losses ◽  
Wheat Varieties ◽  
Wheat Production ◽  
Wheat Curl Mite ◽  
Aceria Tosichella

Abstract Severe winter wheat yield losses due to infestations of wheat curl mite, Aceria tosichella Keifer, and mite-transmitted viruses occur in wheat production areas of the United States and Canada. Mite infestation alone causes stunted, chlorotic plants in susceptible wheat varieties, and mites transmit Wheat Streak Mosaic (WSMV), High Plains Wheat Mosaic (HPWMoV), and Triticum Mosaic Virus (TriMV). Wheat curl mites were collected from 25 sites in Kansas, Missouri, Nebraska, Texas, North Dakota, and South Dakota in 2014 and 2015. At each site, mite virulence was determined to wheat plants harboring the Cmc2-, Cmc3-, or Cmc4 mite resistance gene; or Cmc4 plus the Wsm2 WSMV resistance gene. Mites collected from 92%, 36%, and 24% of sites were virulent to susceptible Jagger wheat plants (no Cmc), Cmc2, and Cmc3, respectively. The mega-population consisting of all 25 mite sub-populations was avirulent to 80% of plants containing Cmc4 + Wsm2 or Cmc4. WSMV, HPWMoV, or TriMV was present in mites at 76%, 16%, and 8% of the 25 sites, respectively. Our results will enable breeders to increase the efficiency of wheat production by releasing wheat varieties containing wheat curl mite resistance genes that reduce wheat yield losses.

scholarly journals LIMITATIONS AND PROSPECTS FOR SUSTAINABLE INCREAYIELD IN TAJIKISTAN SE OF WHEAT

2020 ◽  
Vol 15 (3) ◽  
pp. 31-36
Author(s):  
Munira Otambekova ◽  
Bahriddin Solihov ◽  
Bahromiddin Husenov ◽  
Hafiz Mumindzhanov
Keyword(s):  
Environmental Sustainability ◽  
Crop Production ◽  
Management Practices ◽  
Social Economic ◽  
Wheat Yield ◽  
Crop Management ◽  
Human Consumption ◽  
Clear Understanding ◽  
Wheat Varieties ◽  
Wheat Production

Wheat is a major crop with a key role for food security in Tajikistan. A clear understanding of the major constraints and opportunities relating to wheat production and sustainability in farmers’ fields is therefore required. Monitoring of pests, diseases and weeds in the wheat fields of different sizes, located in different agricultural zones in Tajikistan and at different altitudes, was conducted during (2003–2016). A questionnaire on wheat production and sustainability, seeking overall information about farms and specific data on crop management practices, was applied. The results showed that the agronomic knowledge of Tajik farmers was generally poor and that wheat yield was low, affecting social, economic, and environmental sustainability. The farms surveyed were generally small, growing winter wheat for human consumption year after year. Seeds were hand-broadcast at the optimal sowing time, without chemical treatments and either wheat or technical crops were used as preceding crops. The low knowledge status of wheat farmers influenced crop performance and were correlated with lack of crop rotation, while the lack of pest management resulted in high levels of weeds and severe insect damage. Wheat production on small farms still relied heavily on manual labor, while larger farms used more machinery. Most of the Tajik wheat varieties and lines screened were found to be susceptible to at least one of the diseases screened for, i.e., stripe rust, leaf rust, and common bunt. Our findings demonstrate a need for concerted action to overcome wheat yield constraints and achieve sustainabшlity in crop production in Tajikistan. Education of farmers appears key to improving social, economic, and environmental sustainability. Use of certified seed of suitable wheat varieties and appropriate crop management practices, including weed control while also taking biodiversity into consideration, are other important measures for increasing wheat yield and improving sustainability

scholarly journals Wheat varieties productivity at different sowing dates

2020 ◽  
Vol 26 (2) ◽  
pp. 61-68
Author(s):  
Milica Veliborović ◽  
Ljubiša Kolarić ◽  
Ljubiša Živanović ◽  
Jela Ikanović
Keyword(s):  
Yield Components ◽  
Wheat Yield ◽  
Sowing Date ◽  
Grain Weight ◽  
High Yield ◽  
Sowing Time ◽  
Wheat Varieties ◽  
Sowing Dates ◽  
Two Factors ◽  
Set Up

The aim of this research is to study two important factors in wheat production (Triticum sp.) - sowing time and variety, specifically their influence on wheat yield and yield components: the number of grains per spike, grain weight per spike, 1,000-grain weight, and the hectoliter weight. The influence of sowing time and variety were determined based on the obtained data, which indicated the extent to which the significance of these factors manifest on certain components and wheat yield. The optimal sowing date is October 5th-25th. The variety itself cannot give a high yield without the application of all agrotechnical measures, to which we strive for primarily due to the high wheat importance. The experiment set up by the split-plot method in three replications examined three wheat varieties: Gabrio, Rapsodija and Basmati sown in two sowing dates: October 29th and November 25th. The results showed that all yield components (the number of grains per spike, the grain weight per spike, the 1,000 - grain weight, and the hectoliter weight) had the highest values in Rapsodija variety and were more dependent on the variety than to sowing time. The influence of the variety on the hectoliter mass was at a significant level. Wheat yield depended more on sowing time, and the influence of sowing time, variety, and interaction of these two factors on yield were statistically significant. The highest yield was registered in Gabrio variety (8.87 t ha-1), while the average yield achieved by this micro experiment was 8.46 t ha-1.

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