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The purpose of this study was to compare the physico-chemical properties and amino acid profile of three maize hybrid cultivars grown in Nigeria.

Two normal maize endosperm varieties, yellow SUWAN-ISR (YNM) and white ART/98/SW05-OB-WC (WNM), and one yellow QPM variety, TZE-POP-DT-STR-QPM (YQPM), were selected for the study. Physico-chemical properties, physical tests, proximate composition analysis, functional properties and characteristics and amino acid profile tests were carried out on the grains using standard methods.

Protein was significantly higher (p < 0.05) in YQPM (10.49 per cent) than in normal endosperm, YNM (8.83 per cent) and WNM (8.50 per cent). Amino acid profile of the grains revealed that total amino acid of YQPM (94.67 g/100 g of protein) and essential amino acid of YQPM (39.070) were the highest among the three, with highest significantly different value of tryptophan (0.388 g/100 g of protein) at p < 0.05. The cooking quality of YQPM was found to be better than the other two, with highest hydration capacity and increase in volume after cooking (90.8 ± 0.01 g/1000 grains and 147.53 ± 0.02 per cent).

YQPM will be highly beneficial in the tropics, where maize is grown as the major staple food to reduce hunger and malnutrition because of its amino acid balance and its better cooking quality.

Since the start of seed and other market reforms in the 1990s, the annual number of improved varietal releases for maize in Kenya has increased substantially. Prior to the reforms, private firms were restricted in introducing new varieties, could not protect their intellectual property and farmers had to rely exclusively on improved seeds developed and marketed by the public sector. Reforms have resulted in not only private firms entering the market and releasing improved varieties, but also an increase in varietal releases by the public sector. The purpose of this paper is to review some of the key policy reforms related to maize in Kenya, and their impacts on varietal development and yields.

The authors estimate a yield model that relates national maize yields to a number of input policy variables. The authors employ a two-stage least square regression, as one of the explanatory variables – the number of varietal releases – is likely endogenous with yield. The authors use policy variables such as public R&D, the number of plant breeder’s rights issued, and the years since private varieties have been introduced as instrument variables to estimate their influence new varietal releases directly, and then new varieties, inputs and other policies to measure their impact on yields.

The results show that policy changes such as the introduction of intellectual property rights had an important impact on the number of improved maize varieties released. However, the outcomes of the policy change such as the number of varieties and the share of area under improved varieties has no impact on increasing maize yields. The authors argue that this is because farmers continue to use older improved varieties because of the dominance of a parastatal in the maize, seed market and that newer improved varieties may not have the assumed yield advantage. Future policy and programs should be directed toward increasing the adoption of improved varieties rather than simply releasing them.

This paper provides evidence that while policy change may lead to new varietal development and release, its aggregate productivity impacts may be limited without additional reforms and intervention.

This study aims to examine the effect of climate variability on smallholders’ crop income and the determinants of indigenous adaptation strategies in three districts (Mieso, Goba-koricha and Doba) of West Hararghe Zone of Ethiopia. These three districts are located in high-moisture-stress areas because of crop season rainfall variability.

Primary data collected from 400 sample households were used for identifying factors that affect households’ crop income. The study used ordinary least square (OLS) regression to examine the effect of climate variability. Given this, binary logit model was used to assess smallholders’ adaptation behavior. Finally, the study used multinomial logistic regression to identify determinants of smallholders’ indigenous adaptation strategies.

The OLS regression result shows that variability in rainfall during the cropping season has a significant and negative effect, and cropland and livestock level have a positive effect on farmers’ crop income. The multinomial logistic regression result reveals that households adopt hybrid crops (maize and sorghum) and dry-sowing adaptation strategies if there is shortage during the cropping season. Variability in rainfall at the time of sowing and the growing are main factors in the area’s crop production. Cropland increment has positive and significant effect on employing each adaptation strategy. The probability of adopting techniques such as water harvesting, hybrid seeds and dry sowing significantly reduces if a household has a large livestock.

The three districts are remote and accessibility is difficult without due support from institutions. Thus, this study was conducted on the basis of the primary data collected by the researchers after securing grant from Swedish International Development Agency (SIDA).

This study examines the adoption drivers of scale-appropriate mechanization in Nepal's maize-based farming systems. The authors also assess the contribution of scale-appropriate mechanization to the United Nations Sustainable Development Goals (SDGs) of zero hunger (SDG2) and no poverty (SDG1).

Propensity score matching and doubly robust inverse probability-weighted regression adjusted methods were applied to estimate the effects of mini-tiller adoption. These methods control the biases that arise from observed heterogeneities between mini-tillers users and nonusers.

The study findings show that farm size, labor shortages, draft animal scarcity, market proximity, household assets and household heads' educational level influence the adoption of mechanization in Nepal. Mechanized farms exhibited enhanced maize productivity, profits and household food self-sufficiency. Reduced depth and severity of poverty were also observed. Nevertheless, these effects were not uniform; very small farms (≤0.41 ha) facing acute labor shortages benefited the most.

The study results suggest that policymakers in developing nations like Nepal may wish to expand their emphasis on scale-appropriate mechanization to improve farm productivity and household food security, reduce poverty and contribute to the SDGs.

This first-of-its-kind study establishes the causal effects between scale-appropriate farm mechanization and SDG1 (no poverty) and SDG2 (zero hunger) in a developing nation.

Farmers in developing countries are used to recycling and purchasing seeds of old and low-yielding varieties, leading to low seed and varietal replacement rates. Seed companies in Nepal have started to conduct traders' meetings (TMs) to promote new rice varieties. This paper aims to assess the effectiveness of this approach in promoting new rice varieties.

The authors assess the effectiveness of TMs by surveying 238 agrodealers from 7 districts of Nepal. The authors used the binary logit model to study the determinants of participation in TM and an instrumental variable approach to estimate the impact of TMs on sales of the promoted rice varieties.

Results indicate that the TM significantly influences traders' knowledge and increases the probability of selling new rice varieties promoted. However, TMs did not significantly increase the overall sales of promoted rice varieties.

The study is based on cross-section data; thus, unobserved fixed effects could not be accounted for. The study finds only one relevant and valid instrumental variable and therefore could not conduct any exogeneity test.

Seed companies in Nepal started to conduct TMs to promote new rice varieties since 2019. However, to the best of the authors’ knowledge, the usefulness of TMs and the impact of these events in changing traders' attitudes toward domestic rice seed varieties or in business performance (annual sales of the promoted varieties) have not been assessed. Therefore, the study findings will help to promote the market-driven seed system and increase the seed replacement rate.

The paper aims to examine impact of adopted maize seed technology on farm profitability. It assesses both the revenue and cost implication of the adopted technology on farmers' welfare. The study aims to expand the domain of farm investment assessment analysis by including a broader range of production outcome indicators than is normally found in the adoption impact on farm profitability literature.

The paper opted for an empirical study using field survey data. A structured questionnaire was used to interview 400 maize farmers across four regions of Ghana. The survey was complemented with focus group discussions in each region with participants representing male and female farmers cultivating maize on a commercial basis. The data captured detail household level (i.e. demographic and socioeconomic characteristics) as well as farm-level information on maize production (i.e. input use and farm output).

The paper provides empirical insights about maize farmers' perception on the adopted maize seed technology and the factors influencing adoption. It also shed light on the fact that maize farmers do not base their adoption decisions solely on farm output and revenue indicators alone, but mainly on the return on their investment and the cost associated with the maize seed technology adopted.

Because of data limitation, the influence of some important actors (market power) could not be directly captured in the analysis; this may lead to over simplification of a very complex situation in the maize sector. Therefore, researchers are encouraged to future investigate the influence of such important phenomenon on farm profitability.

Improving maize productivity and farm profitability across the sectors is important in order to improve farmer income. This study, therefore, highlights the effect of adopted seed technology and its impact on farm profitability.

This paper fulfils an identified need to study how investment cost in maize seed technology affect farm profitability.

We examine the national regulatory framework in Turkey and its interactions with actors at various levels that set the stage for the shift from a Fordist economy to a post-Fordist one. Industrial maize production expanded in the 2000s in the face of a decline in agricultural employment and state-supported conventional crop production. We use the corporate maize industry as a case to demonstrate the change in regulation and its impacts.

Utilizing a strategic-relational approach, we analyze descriptive statistics on agricultural markets, news, sector reports, and archives of national regulation related to agricultural production and the agri-food industry to identify key actors shaping the transformation of maize production.

Actors influencing the national regulatory framework come from international and national regulatory institutions, and transnational and national agri-food corporations. Local maize farmers have actively participated in the transformation, thereby offering consent to the process. The Turkish state manages maize production through its national regulatory regime, but the agri-food industry drives the trajectory.

Adopting a strategic-relational approach contributes to our understanding of the dynamics at work in economic restructuring by shedding light on the interactions between political authorities and economic actors. Following a post-Fordist mode of regulation, the Turkish government uses particular political devices in a strategically selective manner, not overtly to enhance the short-term interests of the agri-food industry, but according to the long-term goal of promoting adaptation of agricultural commodity producers to the post-Fordist capitalist accumulation regime.

State institutions utilize the tools of political intervention in markets to ensure the long-term sociopolitical consolidation and legitimation of the post-Fordist accumulation regime.

World agriculture faces enormous challenges in the coming decades. To feed the world adequately in 2050, agricultural production in developing economies will need to nearly double. Incremental production will mainly come from increases in yields or cropping intensities. This chapter focuses on the potential of genetically modified (GM) crops to contribute to agricultural productivity growth and poverty reduction in developing economies. On the basis of a comprehensive literature review of the most recent literature, we aim to shed light on (a) whether GM crops benefit farmers in developing economies and (b) whether GM crops that are currently in the research pipeline address future challenges for agriculture. The first part of the chapter reviews farm-level impacts of GM crops in developing economies. The second part discusses the GM crop research pipeline. GM crop markets are expected to grow in the future but not to change dramatically. We conclude that GM crops benefited farmers, including resource-poor farmers, in developing economies, but benefits are location- and individual-specific. Addressing such complexities will be required to unlock technology potentials.

Northern Vietnam is a mountainous area where most farmers' livelihoods depend on maize production. Beside training in farming techniques, since 2013 extension courses on market access have been gradually delivered to maize farmers to help them save production costs and increase earnings.

By applying robust regression and Tobit models to estimate technical efficiency (TE), the difference-in-difference (DID) technique is used in this study to determine the change in the TE of 1,035 farmers in the period 2013–2015 in Northern Vietnam.

The DID estimator indicated the initial success of extension courses by showing a faster increase in the TE of the receivers compared to that of non-receivers. However, co-operation in production and marketing by maize farmers and access to micro-credit resulted in an insignificant impact on the TE of maize farmers in 2015. These low impact results highlighted the inefficiency of the extension and micro-credit programmes and that raised the concern of policymakers. The distance to local market signifies the determination of farmers on their crops affected by how close their location to their input/output marketplaces.

The Land Policy of the government should take into careful consideration measures to exploit all potential production and to mitigate poverty as well as foster the development of the region.

The expansion of extension courses on access to market has been recognised as an effective method to increase farmer's efficiency.

The purpose of this paper is to examine the potential economic impacts of China’s insect-resistant GM maize and provide new evidence for decision making concerning its commercialization.

This study uses data drawn from the production trials of insect-resistant GM maize and expert interviews to determine the impacts of commercializing GM maize at farm level under three scenarios with varying severity of insect pest attacks in maize production. Economic impacts are simulated using a modified Global Trade Analysis Project model.

In farm terms, insect-resistant GM maize increases crop yield and reduces both pesticide and labor inputs. In national terms, China can increase its GDP by USD8.6 billion and maize self-sufficiency by about 2 percent given normal insect pest attacks if China commercializes GM maize. Additional beneficiaries include consumers and the livestock industry. Non-maize crops can also benefit from land saving through GM maize commercialization. Chemical is a sector with the decrease in its output because demand for pesticides will fall.

Although China has announced a roadmap for commercializing GM crops for use as feed and in processing after nearly two decades of producing GM cotton, no clear timetable for producing GM maize as feed has been established due to several concerns, including the potential for economic gains from GM maize. This study is the first to assess the economic impacts of commercializing China’s GM maize. The findings should have significant policy implications for the development and commercialization of GM crops in general and GM maize in particular.