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This study aims to treat the development and application of sequence characterised amplified region (SCAR) markers for the detection of plant based adulterants (dried red beet pulp and powdered Ziziphus nummularia fruits) in traded ground chilli.

Adulterant‐specific DNA fragments (red beet pulp specific – “Beet 01” and Z. nummularia specific – “Ziz 01”) identified by random amplified polymorphic DNA polymerase chain reaction (RAPD‐PCR) analysis were cloned and sequenced for SCAR marker development. Red beet pulp specific SCAR primer pair, B1, and Z. nummularia specific SCAR primer pair, Z1, were designed from the corresponding RAPD marker sequences to amplify SCAR markers of 320 bp and 389 bp, respectively. The utility of the SCAR markers for adulterant detection was verified in model blends of chilli powder with the adulterants. Six commercial samples of ground chilli powder were analysed using the SCAR markers.

SCAR markers could detect the adulterants at a concentration as low as 10 g adulterant kg⁻¹ of blended sample. The Z. nummularia SCAR marker could detect the presence of Z. nummularia fruit adulteration in one of the commercial samples. All the market samples tested were free from red beet pulp adulteration.

The PCR‐based method developed in the study is simple, rapid, and sensitive and has the potential to be developed into a quantitative analytical method and for commercial PCR kits for the large‐scale screening of ground chilli to detect and prevent plant‐based adulterants. The work has public health significance too, as ground chilli is one of the major spices consumed worldwide.

The study is the first report on the development of SCAR markers for adulterant detection in ground chilli. This work has relevance, as adulteration is a major concern of the sanitary and phytosanitary issues of the World Trade Organization (WTO) agreement.

Chilli plays an important role in the Indonesian economy through its multiplier effect. The recent rapid growth of chilli production in Indonesia can be explained by the development of agricultural and communication technologies and improved market infrastructure. The purpose of this paper is to analyse factors that affect farmers’ decisions to adopt chilli-based agribusinesses. Intensive chilli farming, as a part of agricultural commercialisation, is considered a technological package that is more profitable but also more input- and labour-intensive than the production of rice or other cereal crops.

This study used a logit model to estimate the farmers’ decision function. Personal characteristics, technical factors and business environment were hypothesised to influence farmers’ decisions to adopt intensive chilli farming. Data for this study were compiled from surveys conducted during 2009-2011. The surveys interviewed 300 farmer households in three main chilli producing regions of Java, Indonesia.

The results indicate that younger farmers, and also farmers with more experience, were more likely to adopt chilli farming. Availability of chilli production technology and the use of mobile phones prompted farmers to adopt chilli farming. Access to vegetable markets, credit, and market information were other factors driving farmers’ decisions to take up chilli production. Most farmers were motivated to grow chilli to increase their incomes. Ecological factors were also the reasons.

The sample for this research is quite low. However, the sample was drawn from representative potential chilli production areas in Indonesia.

There is room to increase the number of chilli-based agribusinesses in Indonesia. Intensive chilli farming should be introduced to young farmers and those with experience in vegetable production. Farm credit, market information, and agronomic technologies should be made more available and accessible to farmers. Strengthening communication networks among farmers through the use of mobile phones is the best way to encourage farmers to adopt intensive chilli farming. Vegetable markets should be established in potential chilli producing regions.

This paper aims to analyse the governance structures of the Indonesian chilli value chain, price volatility issues across the chain and to critically explore the value chain actors' perceptions and responses to price volatility.

The authors used semi-structured interviews with 148 primary actors of the Indonesian chilli value chain. In-depth interviews with 22 key stakeholders – from local, provincial and national levels – were conducted in order to obtain additional information about their roles and the current policies and challenges in the chilli industry. The authors also conducted focus group discussions (FGDs) with farmers and support providers and held a national workshop to gather governance and price volatility risk-related information.

The Indonesian chilli value chains are long, complex and involve multiple actors. Most relationships within the value chains are based on market governance in which price regulates transactions. Most value chain actors shared a similar perception of price volatility and its causes. Under different governance structures, the value chain actors identified production, product characteristics and marketing as a major cause of price volatility. Although strategies applied by the value chain actors varied, in the main they are all aimed at minimising the impact of price volatility. Contractual arrangements are viable alternatives to minimising price risk.

This research relies primarily on qualitative data derived from purposive data collection methods, which may reduce the ability to generalise the findings. A quantitative analysis is required to validate the level of price volatility perceived by the stakeholders and to assess the cause and impact of price volatility across the chain. Future research should focus on proposing and assessing potential policy interventions that address price volatility, in order to facilitate the development of the Indonesian chilli industry.

To the best of the author’s knowledge, this study is the first to investigate the governance structures of the Indonesia chilli value chain, the value chain actors' perceptions of price volatility and their responses under the different types of governance in a developing country context.

The purpose of this paper is to evaluate the implications of and assess the economic and sustainable impact of environmentally friendly technological packages introduced into agribusiness players in the centre of chilli-producing regions of Indonesia.

This study used a theory of optimisation in production as a fundamental analysis. Producers are assumed to maximise profit by allocating rational amounts of inputs as the components of technological packages. A combination of qualitative and quantitative methods was used. The rate of technology adoption was evaluated, and agribusiness performance was measured using an economic advantage and technical efficiency. Data were compiled using group discussions and individual surveys.

The packages of technologies improved economic and sustainability performance of agribusiness resulting from efficient use of agrochemicals and water resource, and increase the production. Socio-economic and technical factors influenced performance farmers, as agribusiness players responded positively towards the ecological technology packages.

The sustainability of agribusiness was indicated by the reduction in agrochemical use and by the efficient use of water irrigation. There are other measures of sustainability, which are beyond this study. Additional studies are expected to fill the gap.

Considerable potential exists for broad adoption of these technological packages in Indonesia if they are disseminated effectively and in a close partnership with local extension agencies, farmers’ organisations, local non-governmental organisations and private sectors.

This study provides a realistic representation of a current condition because this is an empirical study conducted at the grass-root level. Sustainability of agribusiness practices was achieved with ecological technological packages.

This paper examines the labour demand associated with hybrid chilli adoption, a relatively labour-intensive crop in Indonesia.

Using 228 chilli producing households in West Java Province, Indonesia’s primary chilli production region, the analysis extends previous research on household labour demand by assessing the impacts of hybrid chilli seed adoption on both family and hired labour on a gender-specific basis. Instrumental variables 2SLS approach is employed to address potential endogeneity that may occur related to hybrid seed choices.

The results demonstrate that hybrid chilli seed use is more likely to increase demand for hired labour, particularly female hired labour; However, hybrid seed adoption is insignificantly associated with demand for male and female family labour.

The sample size used in this paper is relatively small; however, the sample is chosen from the biggest chilli producing area in Indonesia and can still be considered reasonably representative.

The results indicate that hybrid seed adoption creates rural employment opportunities for rural women in Indonesia, which could potentially help empower them in rural economic activities and household decision making.

This study contributes to the literature assessing modern agricultural technologies by evaluating rural employment impacts on a source- and gender-specific basis, which is much less understood. It, therefore, complements the existing knowledge regarding welfare impacts in other aspects such as poverty reduction, food security and nutrition enhancement and suggests another dimension where desirable impacts may occur through associated women’s empowerment.

The purpose of this paper is to examine the effects of providing information regarding antioxidant content on the liking for a food item consumed in relatively small quantities as a complement to main dishes.

Heavy users consuming chilli paste three to four times a week were recruited for consumer tests (n=129). Two sessions of taste tests (with and without antioxidant information) were conducted for hedonic measurement of six ready‐to‐eat Thai chilli pastes. Antioxidant activity of the samples were analysed by DPPH and hydroxyl scavenging methods and reported relative to vitamin C. The four experimental and two commercial samples tested ranged between mild to medium hot levels classified by capsaicin quantity and were served using balanced first‐order carry‐over effect design. Principal component analysis and analysis of variance for split‐plot design of the experiment were employed for data analysis.

The key finding is that the antioxidant information had no significant effect on consumer liking (p > 0.05). Even though one of the research samples presented high antioxidant efficiency (1.63‐1.80 times higher than commercial samples sold in market places), the sample received only low liking scores and liking was not increased when the antioxidant information was attached. An interaction effect occurred when commercial samples gained high liking scores and increased to even higher when antioxidant information was given with the samples.

The research was based on a target group of Thai consumers whose ages ranged between 18‐40 years old and who were frequent consumers of the product. Also, the product tested in this research was not a principal meal item but was a condiment. Hence, caution must be exercised in generalising to other target groups or food products.

Health benefit labelling by producers needs to take into account the usage context of the food. Health information provision may not boost consumer demand in all contexts.

This is one of very few studies exploring the effect of health information provision on liking for a food that is not consumed as a main dish in large quantities, but rather as a condiment consumed in small quantities.

Chilli pepper (Capsicum annum), an extensively cultivated vegetable, is commonly used to spice many dishes prepared in several parts of the world. It contains capsaicinoids. The most active amongst these capsaicinoids is capsaicin (8-methyl-N-vanillyl-6-nonenamide), which is neurogenic and so may affect nervous function. Therefore, the purpose of this paper is to investigate the effects of long-term consumption of chilli pepper and capsaicin diets on pain and social behaviour in CD-1 Swiss white mice.

In total, 30 male mice were randomly assigned into three groups of ten mice each, namely, control, pepper-diet (20 per cent w/w) and capsaicin-diet (10 per cent w/w) groups. Tail immersion, hot plate and formalin tests were conducted to assess pain perception, while nesting behaviour test was used to evaluate the social behaviour of the mice.

The latency of tail flick of both the pepper and capsaicin groups were significantly longer (p < 0.01 and p < 0.001, respectively) compared to control. The hind paw lick frequency, duration and flinching of both the pepper and capsaicin groups were also significantly reduced compared to control. The nesting score of the capsaicin group was significantly higher (p < 0.01) compared to control. However, the nesting score for pepper group was significantly lower (p < 0.05) compared to capsaicin group.

Long-term consumption of capsaicin and pepper diets suppressed pain and enhanced organized social behaviour in mice. One of the active principles responsible for the effects obtained with pepper on pain and social behaviour in mice may be capsaicin.

The purpose of this paper is to delve into an extensive analysis of different food crops, ranging from bananas, beans, brinjals, cabbages, chillies, creepers, groundnuts, mixed vegetables, pineapples and tomatoes, over three decades. To maintain an ever-increasing population level, much stress is exerted on the production of food crops. However, till date, very little is known about how climate change is influencing the production of food crops in Mauritius, an upper-income developing country found in the Indian Ocean and highly vulnerable to climate risks.

Based on the interactions between production of crops, harvest area for crops and weather metrics, a vector autoregressive model (VAR) system is applied comprising production of each crop with their respective harvest area. Weather metrics are then entered into as exogeneous components of the model. The underlying rationale is that weather metrics are not caused by production or harvest area and should thereby be exogeneously treated. Should there be cointegration between the endogenous components, the vector error correction model (VECM) will be used. Diagnostic tests will also be entertained in terms of ensuring the endogeneity states of the presumed variables under investigation. The impact of harvest area on product is plain, as higher the harvest area, the higher is the production. However, a bi-directional causality can also manifest in the case that higher production leads towards lower harvest area in the next period as land is being made to rest to restore its nutrients to enable stable land productivity over time. Other dynamics could also be present. In case cointegration prevails, VECM will be used as the econometric model. The VAR/VECM approach is applied by virtue of the fact that traditional ordinary least squares (OLS) estimation approach will be biased and susceptible to trigger off unreliable results. Recourse is made towards the Johansen and Juselius (1990) technique. The Johansen and Juselius approach is based on the following VAR specification-bivariate VAR methodology. X1,t = A0 + A1,1X1,t – 1 + A1,2X1,t – 2+ […] .+ A1,p X1,t – p + A2,1X2,t – 1 + A2,2X2,t – 2+ […] .+ A2,pX2,t – p + ßjW + e1,t […] […]..(1) X2,t = B0 + B2,1X2,t – 1 + B2,2X2,t – 2+ […] .+ B2,p X2,t – p + B1,1X1,t – 1 + B1,2X2,t – 2+ […] .+ B1,pX2,t – p + ajW + e2,t […] […] […](2) X1,t is defined as the food crops production, while X2,t pertains to harvest area under cultivation for a given crop under consideration, both constituting the endogeneous components of the VAR. The exogeneous component is captured by W which consists of the nine aforementioned weather metrics, including the cyclone dummy. The subscript j under equation (1) and (2) captures these nine distinct weather metrics. In essence, the aim of this paper is to develop an econometric-based approach to sieve out the impacts of climate metrics on food crops production in Mauritius over three decades.

Results show weather metrics do influence the production of crops in Mauritius, with cyclone being particularly harmful for tomatoes, chillies and creepers. Temperature is found to trail behind bearish impacts on tomatoes and cabbages production, but positive impacts in case of bananas, brinjals and pineapples productions, whereas humidity enhances production of beans, creepers and groundnuts. Evidence is found in favour of production being mainly governed by harvest area. Overall, the study points out the need of weather derivatives in view of hedging against crop damages, let alone initiation of adaptation strategies to undermine the adverse effects of climate change.

To the best of the author’s knowledge, no study has been undertaken in Mauritius, let alone developing of an econometric model that properly integrates production, harvest area and weather metrics. Results show weather metrics do influence the production of crops in Mauritius, with cyclone being particularly harmful for tomatoes, chillies and creepers. Temperature is found to trail behind bearish impacts on tomatoes and cabbages production, but positive impacts in case of bananas, brinjals and pineapples productions, whereas humidity enhances production of beans, creepers and groundnuts. Evidence is found in favour of production being mainly governed by harvest area. Overall, the study points out the need of weather derivatives in view of hedging against crop damages, let alone initiation of adaptation strategies to undermine the adverse effects of climate change.

The Indian diet is rich in all the essential nutrients required for the well-being of human life. Probiotics have always been part of our traditional diet but microbiota of traditional fermented foods has not been explored. This study aims to analyse various traditional Indian fermented products for their probiotic nature.

Fermented indigenous products such as kanji, vegetable pickles and curd were prepared under controlled conditions and stored at ambient temperatures for shelf life studies. During the shelf life study, pH, titratable acidity and Lactic acid bacteria (LAB) count were estimated.

LAB counts ranged between 106 and 108 cfu/g in all the products, reflective of the probiotic nature of the products. Growth was observed even at low pH of 2.77 in product such as lemon chilli and ginger pickle. The 16S RNA-based sequencing technique was used for the identification of probiotic organisms present in the product. Enterococcus lactis, enterococcus durans, bacillus subtilis and lactobacillus plantarum were detected in the products.

These observations emphasise the need to undertake in-depth analysis of the viability of LAB in these fermented Indian foods for improving their nutritional properties. A need exists to explore and popularise more indigenous fermented products as probiotics.

India has a very rich and diverse food culture which differs from one region to other. This is because of difference in climatic conditions which has led to variety of food products. There are many products prepared locally and are not studied scientifically. This study aimed to explore these products for the presence of LAB which could have a probiotic potential.

This paper aims to examine the destabilization effect in the case of India’s agricultural commodity market for the sample period of 01 January 2009 to 31 May 2013.

The daily data of eight agricultural commodities traded on the National Commodity & Derivatives Exchange, viz., barley, castor seed, chana (chickpea), chilli, potato, pepper, refined soya and soybean, have been used in this study. At the first stage of the empirical analysis, the study estimates the time-varying spot market volatility by using the exponential generalized autoregressive conditional heteroscedasticity model and applies three different high and band-pass filters, viz., the two-sided linear band-pass filter by Hodrick and Prescott (1997), the fixed-length symmetric band-pass filter by Baxter and King (1999) and the asymmetric band-pass filter by Christiano and Fitzgerald (2003), to calculate the unexpected liquidity of sample commodities. At the second stage of the empirical analysis, the study applies linear Granger causality and recently developed non-linear causality given by Diks and Panchenko (2006) to examine the cause and effect between time-varying volatility of spot market and futures market liquidity of sample commodities.

The linear and non-linear causality results suggest the destabilizing effect of commodity futures on the underlying spot market for chana, chilli and pepper. The empirical findings are in contrast with the recommendations of Abhijit Sen’s committee and provide important direction for further policy research.

The study has a limitation in that it is based on the daily data. The use of intra-day data would have been more suitable for such type of analysis.

The study has strong policy implications from a financial policy perspective, as there is already disagreement among researchers and policy makers with regard to the functioning of commodity derivatives markets in India. There have been many occasions when commodity market regulators have to undertake decisions of suspension of trading of many commodities. The study also provides new directions of policy research with regards to the restructuring of the commodity derivatives market in India.

The findings of this study may further help the regulators and policy makers to undertake decisions about how to provide an alternative platform for farmers to sell their agricultural produce more efficiently. This will certainly have some impact on the socioeconomic set-up of the country, as India is primarily an agriculture-dominated country.

So far not many studies have investigated the destabilization hypothesis in the case of emerging markets. This study is a novel attempt to fill the gap. In the case of emerging markets and especially in the case of India’s commodity derivatives market, this is the first study that examines the destabilization hypothesis in the case of India by applying new methods of high and band-pass filters and non-linear causality.