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This paper aims to review the current status of wheat production, farming systems, production constraints and wheat demand-supply chain analysis; the role of international and national breeding programs and their approaches in wheat genetic improvement including targeting mega environments, shuttle breeding, doubled haploids, marker-assisted selection and key location phenotyping; and future prospects and opportunities of wheat production in Sub Saharan Africa (SSA).

Relevant literature works have been used and cited accordingly.

Though traditionally wheat was not the leading staple crop in SSA, it is becoming an important food crop because of rapid population growth associated with increased urbanization and change in food preference for easy and fast food such as bread, biscuits, pasta, noodles and porridge. In 2013, total wheat consumption in SSA reached 25 million tons with import accounting for 17.5 million tons at a price of USD6 billion, while during the same period the region produces only 7.3 million tons on a total area of 2.9 million hectares. The low productivity (2t/ha) in the region is principally because of abiotic (drought and heat) and biotic (yellow rust, stem rust, septoria and fusarium) stresses which are increasing in intensity and frequency associated with climate change. Furthermore, increased cost of production, growing populations, increased rural-urban migration, low public and private investments, weak extension systems and policies, and low adoption rates of new technologies remain to be major challenges for wheat production in SSA. Wheat breeding in SSA is dominantly carried out by National Agricultural Research Systems, in partnership with the international research centers [International center for improvement of maize and wheat (CIMMYT) and International center for agricultural research in the dry areas (ICARDA)], to develop high yielding and widely adapted wheat genotypes with increased water-use efficiency, heat tolerance and resistance to major diseases and pests. Most of the cultivars grown in SSA are originated from the international research centers, CIMMYT and ICARDA.

This paper will help to promote available wheat technologies in SSA by creating awareness to wheat scientists, extension agents and policymakers.

This manuscript is an original review paper which has not been published in this form elsewhere.

The purpose of the paper is to estimate wheat productivity in Bangladesh and forecast the future expected population and food requirements in the country by 2010.

This paper reaches the objectives using total factors productivity approach, Box Jenkins approach, and sensitivity analysis for wheat farms in the country. The study used data on wheat during 1972‐2002.

In the existing situation, the national average level wheat yield was 1.9 MT/ha that was lower than any other stations. The reasons are late sowing, coupled with lack of seed quality, excess moisture at sowing, lack of fertilizer at reasonable price and timeliness at the farmers' level, and lack of capital. The total productivity grew at an average annual rate of 1.35 percent.

The results show that the Bangladeshi government could increase the domestic wheat supply by 56.84, 115.79, 247.37, and 321.58 percent depending, respectively, on the applied model I‐IV, that is much higher than the existing level of production.

This paper brings together diverse views and fusing them together providing a future path for research and taking suitable policy for wheat production to meet the demand for food.

The purpose of this paper is to examine the effect of support price on wheat production in Pakistan during the period 1971–2016.

To capture the effect of support price on wheat production, the authors estimated the long-run linkage by using the ARDL bounds testing approach to cointegration.

This study confirmed the presence of a positive and long-term effect of area under cultivation, support price and fertilizer consumption on wheat production through ARDL bounds test. The results showed that both in the long run and short run, support price plays an important role in the enhancement of wheat production. The authors also found that the coefficients of the area under cultivation and fertilizer consumption variables were statistically significant and positive both in the long run and short run.

The use of the ARDL approach that examines the long-run and short-run effects of support price on wheat production in Pakistan makes the current study unique. An emerging economic literature suggests that only limited research has been conducted in this area.

Because of large time lags between the production decision, completion and sale of output, any uncertainty during the process of production, such as bad weather, disease or financial crisis, can affect the prices within food markets systematically. Therefore, the paper aims to analyze the influence of production uncertainties on world's wheat and corn prices.

In a specially designed two-step method, at first, the contributions of deterministic and uncertainty factors to wheat and corn production in around 100 countries are decomposed. Then, a panel model is applied to estimate the combined impact of each type of factors on the prices. Furthermore, the authors decompose the explained variances of the panel models in order to determine the importance of each type of factors for price adjustments.

The uncertainties in wheat production do significantly affect both wheat and corn prices on a global scale, whilst those of corn do not. Moreover, the variance decompositions reveal that deterministic factors contribute much more to the explanation of world food prices than indeterministic factors.

As deterministic factors are much more important than uncertainty factors for explaining market price movements, farmers should organize themselves to coordinate production in order to stabilize world food prices.

The paper proposes a simple methodology, which enables scholars to integrate production uncertainties into food price analyses.

Scientists in Pakistan are currently developing biofortified wheat varieties to address widespread zinc deficiency, especially among women and children in poorer rural households. The purpose of this paper is to understand how the productivity and efficiency of small-scale and marginal wheat farmers can be improved so that their households may benefit from zinc-fortified varieties.

The authors estimate a stochastic frontier production function model with data from a survey of wheat farmers conducted in Punjab, Pakistan in 2011.

The productivities of the newer varieties of wheat were significantly greater than the older varieties, as expected. Farmers growing wheat in the rice-wheat and cotton-wheat zones tend to be more efficient than farmers from the mixed zone. Farmers who wait to adopt a leading variety are not less efficient than earlier adopters, but the longer the time until they switch varieties again, the more inefficient is their wheat production. Older farmers tend to be more technically inefficient than younger farmers, but the effect of education is not statistically significant. Wheat farmers with access to extension advice are more efficient. Farmers whose land suffered from severe salinity or severe toxicity are less productive and less efficient than others.

The authors find no differences in technical inefficiency effects associated with growing the four most popular varieties, either grown alone or with other varieties – suggesting that no single leading variety should be targeted for biofortification. In contrast to some earlier studies, the authors find that small-scale farmers tend to be less technically efficient. This result underscores the need to specifically target this group in promotional programs, and also to complement these with reinforcement of agronomic recommendations.

This project is part of the HarvestPlus program to determine the appropriate variety or varieties to biofortify with zinc so that Pakistan’s population can have better health and well-being. Further, the results show that there it is desirable to undertake further studies to improve the productivity and efficiency of wheat farmers in the Punjab, Pakistan to increase the health and well-being of the population in general.

Estimates the output‐oriented and input‐specific technical efficiency in two samples of Greek, durum wheat farms – organic and conventional ones – using Kalirajan and Obwona’s stochastic varying coefficient regression model. Findings indicate that the organic wheat farms examined are relatively more efficient. Reasons may include lower profit margins and restrictions on inputs permitted, which may force organic farmers to be more cautious with input use. However, technical efficiency scores are still relatively low for both types of wheat farming. Therefore, considerable scope for cost reducing and farm income improvement may exist in both farming modes. This realization could prove crucial for the long‐run viability and the future course of organic wheat farming.

The purpose of this paper is to evaluate the impact of short-term loan (STL) vs long-term loan (LTL) on wheat productivity of small farms in Sindh, Pakistan.

The econometric estimation is based on cross-sectional data collected in 2016 from 18 villages in three districts, i.e. Shikarpur, Sukkur and Shaheed Benazirabad, Sindh, Pakistan. The sample data set consist of 180 wheat farmers. The collected data were analyzed through different econometric techniques like Cobb–Douglas production function and Instrumental variables (two-stage least squares) approach.

This study reconfirmed that agricultural credit has a positive and highly significant effect on wheat productivity, while the short-term loan has a stronger effect on wheat productivity than the long-term loan. The reasons behind the phenomenon may be the significantly higher usage of agricultural inputs like seeds of improved variety and fertilizers which can be transformed into the wheat yield in the same year. However, the LTL users have significantly higher investments in land preparation, irrigation and plant protection, which may lead to higher wheat production in the coming years.

In the present study, only those wheat farmers were considered who obtained agricultural loans from formal financial institutions like Zarai Taraqiati Bank Limited and Khushhali Bank. However, in the rural areas of Sindh, Pakistan, a considerable proportion of small-scale farmers take credit from informal financial channels. Therefore future researchers should consider the informal credits as well.

This is the first paper to examine the effects of agricultural credit on wheat productivity of small farms in Sindh, Pakistan. This paper will be an important addition to the emerging literature regarding effects of credit studies.

The purpose of this paper is to assess the production risk for winter wheat producers in Beijing, China, particularly in its 13 districts.

A parametric approach is used to model wheat‐yield distribution for samples and the Kolmogorov‐Smirnov test is used to choose the most appropriate yield distribution. Parameters of the special yield distribution are estimated through the maximum likelihood estimation approach.

The Burr distribution is found to be the most appropriate parametric distribution to model winter wheat‐production risks for the districts of Beijing, except in the districts of Fengtai and Shunyi. Findings also show that the Johnson family distribution is the most appropriate model for these two districts (SB for the Fengtai District and SU for the Shunyi District). The wheat‐production loss ratios of the Beijing districts are between 6 and 15 percent, which is considered medium range in most regions. The highest production risks are located in the Western regions of Beijing (Mentougou and Fengtai) while the lowest production risk is located in the Southeastern region of Beijing (Daxing District).

To generate an objective yield trend and an accurate production risk assessment, linear moving average, instead of linear (or quadratic) regression, is used in this paper.

To contribute to the economic understanding of alternative food‐grain policy options for Morocco, examines the fiscal implications of instituting, in addition to the current soft wheat subsidy, a consumer and producer subsidy in the related markets of hard wheat and barley. Subsidizing the two related markets has been suggested by some economists as a possible means of alleviating the subsidy burden through shifting supply and demand in the soft wheat market. The analysis shows that the additional subsidies will not alleviate the problem.

This paper aims to investigate the impacts of climate change on the People's Republic of China's (PRC) grain output using rural household survey data. The paper highlights the regional differences of impacts by estimating output elasticities (with respect to climate change) for different grain crops and different regions.

The paper uses production function to investigate the responses of grain output to climate variables as well as other traditional input variables. The use of production function approach allows us to do away with the competitive land market assumption as required in the Ricardian approach. The paper will use interaction terms of climate variables and regional dummies to capture the regional differences of climate change impact on grain crops.

The results indicate that the overall negative climate impacts on the PRC's grain output range from −0.31 to −2.69 percent in 2030 and from −1.93 to −3.07 percent in 2050, under different emission scenarios. The impacts, however, differ substantially for different grain crops and different regions.

This paper addresses the limitations of existing literature by highlighting regional differences and crop varieties using the most recent nationwide rural household survey data. The results indicate pronounced regional differences and crop differences in the impacts of climate changes on PRC's grain output.