Role of tissue culture as applied in seed potato multiplication to improve food security: a review

Rapid population growth, natural and man-made factors (COVID-19 and the lack of a social safety net) have led to an increase in the demand for food, which calls for significant improvements to the food system worldwide to supply food more efficiently with the same or fewer resources. Potatoes have great potential to contribute to food security and incomes for rural smallholder farmers, as well as provide nutritious, affordable food for urban consumers. The availability of disease-free and certified seed potatoes of better-performing varieties remains limited. The use of tissue culture to provide a disease-free seed potato is therefore crucial to ensuring food security. A key goal of this paper is to summarize the work done on various aspects of seed potato multiplication, and how it can improve the food security of smallholder farmers. The systematic review method was applied to summarize how tissue culture application can produce excess disease-free seed potatoes to improve food availability for marginal farmers. The most effective way for farmers in developing countries or areas prone to natural or man-made disasters to increase their incomes and improve nutrition is to use high-quality certified seeds. Tissue cultures are used worldwide to produce pre-basic, virus-free seed potatoes. Early Generation Seed (micro-tubers, cuttings and mini-tuber), multiplication of mother plants and production of apical rooted cutting for seed production for field planting are popular. The activities of diseases-free seed production start at the laboratory and end at the field with seed production for planting. In general, three major steps were used in seed potato multiplication: (1) Tissue culture (to produce disease-free tissue culture plantlets);(2) Production of cuttings (involves two important stages: (i) multiplication of mother plants and (ii) production of apical rooted cutting for planting) for further multiplication and (3) production of seeds for field planting.

Application of Benford's law in agricultural production statistics

The importance of food supply throughout the world has once again shown its significance in the COVID-19 pandemic period. A continuous food supply is possible with correct agricultural programming. An effective agricultural product programming can only be possible by obtaining precise agricultural data. However, it is very difficult to gather accurate agricultural production statistics from all over the world and confirm their accuracy. In this study, the compatibility of the production statistics of six important agricultural products (wheat, rice, potato, onion, banana, apple) which had been collected from local sources, and had published as opensource by the Food and Agriculture Organization of the United Nations, with Benford's law was examined for the first time. Data for the last two decades are used to ignore the impact of annual fluctuations. The compatibility of theoretically expected and observed data was tested by Chi-square (X2) and Mean Absolute Deviation (MAD) tests. Although inconsistencies were found in some data by examining the numbers in the first, second, and first two digits, in general, the MAD test results gave a mostly concordant result.

Genetic Variation of New Purple-Fleshed Sweet Potato (Ipomoea batatas L.) Genotypes in Indonesia by Multivariate Analysis

Purple-fleshed sweet potato (PFSP) is a major staple food and feed material in tropical countries. The pandemic of COVID-19 that encouraged healthy lifestyles worldwide further increases the importance of PFSP. Despite its importance, the investment in research to improve PFSP in Indonesia was left behind. The objective of the research was to estimate the genetic variation and genetic distance of new PFSP genotypes prior to variety release. The research trials were arranged in a randomized block design, with nine new PFSP genotypes from polycrosses breeding as treatments and three check varieties in four growing environments in West Java, i.e., Cilembu, Jatinangor, Maja, and Karangpawitan during one season. Agronomic traits data were analyzed by the multivariate analysis. The principal component analysis (PCA) showed high genetic variation of PFSP in four environments. The eigenvalue ranges from 1.92 to 5.29 in Cilembu which contributed to 80.958% variability, 0.543–6.177 which contributed variability to 92.135% in Jatinangor, 0.824–5.695 in Karangpawitan which contributed to 92.117%, and 0.822–4.797 in Maja which contributed to 86.133%. Storage root length, storage root diameter, number of roots per plant, total root weight per plant, number of marketable/commercial roots, marketable/commercial root weight, number of roots per plot, and total storage root weight have a discriminant value of more than 0.7 in PC 1. Agglomerative hierarchical clustering (AHC) showed a wide distribution obtaining two clusters in Cilembu with euclidean distance 1.92–5.29, Jatinangor 1.72–6.09, Karangpawitan 1.28–6.38, and Maja 2.05–5.09. High genetic variation in the four environments greatly supports to the development of PFSP new varieties. [ FROM AUTHOR] Copyright of International Journal of Agronomy is the property of Hindawi Limited and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Nutrition Intervention for Undernourished Older Adults amid the COVID-19 Pandemic

Background: Older adults are vulnerable to disease exposure because of the agerelated decrease in immune capacity. Older adults with macronutrient and micronutrient deficiencies may have poor nutritional status and low immune responses, making them prone to COVID-19 infection.Objective: This study aimed to assess the effect of orange almond potato cookie supplementation on weight, hemoglobin, and albumin levels in undernourished older adults during the COVID-19 pandemic.Methods: A quasi-experimental study design was utilized in a cohort of 31 older adults. The subjects consumed 50 grams of cookies per day for 4 weeks. The examination was performed to assess the hemoglobin and albumin levels at pre- and post-study timepoints. Education about balanced nutrition and anemia was provided throughout the study using leaflets, flipcharts, and videos. The subjects were weighed weekly to assess compliance;cookies were distributed, and a daily food consumption record was collected three times a week during home visits.Results: Weight, hemoglobin, and albumin levels increased by 0.4 kg, 0.1 points, and 1 point, respectively. The difference was significant for weight, albeit nonsignificant for hemoglobin and albumin levels. At the end of the study, participants' knowledge regarding balanced nutrition and anemia was statistically significantly different, as well as that of energy, carbohydrate, protein, fat, vitamin C, and iron intake. Weight gain was found to be influenced by the total cookie consumption (p < 0.035).Conclusion: Orange almond potato cookies increased the undernourished older adults' weight when consumed for 4 weeks.

Price Transmission and Asymmetry in the Colorado Potato Supply Chain

We conduct a time-series analysis of Colorado, Idaho, and national potato markets to examine price transmission and asymmetry (relative likelihood and magnitude of upward versus downward price shocks). Prices are typically driven by supply-side shocks. Colorado potato producers' prices are influenced by Idaho and experience unfavorable asymmetry relative to downstream parties. We apply findings to the COVID-19 lockdown period as a case study to explore market behavior during that time. Identifying and noting potentially harmful price dynamics in commodity markets could help producers effectively respond to similar shocks in the future. © 2022, Food Distribution Research Society. All rights reserved.

Influence of blend proportion and baking conditions on the quality attributes of wheat, orange-fleshed sweet potato and pumpkin composite flour dough and bread: optimization of processing factors

Orange-fleshed sweet potato (OFSP) and pumpkin fruit are underutilized crops with great potential for the production of high-quality bread with health-enhancing properties. However, the incorporation of nonconventional flour in bread formula may influence the dough and bread quality properties. This study investigated the effect of partial substitution of wheat flour with OFSP (10–50%) and pumpkin flour (10–40%), baking temperature (150–200 °C) and baking time (15–25 min) on the quality properties of the composite dough and bread using response surface methodology (RSM). Dough rheological, bread physical and textural properties were analyzed, modelled and optimized using RSM. Satisfactory regression models were developed for the dough and bread quality attributes (R2 > 0.98). The dough development time, crust redness, hardness, and chewiness values increased while optimum water absorption of dough, specific volume, lightness, springiness, and resilience of bread decreased significantly (p < 0.05) with increasing incorporation of OFSP and pumpkin flour in the bread formula. Additionally, the specific volume, crust redness, crumb hardness, and chewiness of the composite bread increased significantly (p < 0.05) with increasing baking temperature from 150 to 180 °C but reduced at higher baking temperatures (≥ 190 °C). The staling rate declined with increased OFSP and pumpkin flour whereas increasing the baking temperature and time increased the bread staling rate. The optimized formula for the composite bread was 78.5% wheat flour, 11.5% OFSP flour, 10.0% pumpkin flour, and baking conditions of 160 °C for 20 min. The result of the study has potential applications in the bakery industry for the development of functional bread.

An inaugural survey of cereal, oilseed and vegetable crop diseases in the Yukon Territory in 2020

Various kinds of field crops growing on two commercial farms in the Whitehorse area of the southern Yukon Territory were surveyed for diseases in summer 2020 by staff of the Agriculture Branch of the Government of Yukon. They included barley, wheat, canola, beets, broccoli, cabbage, carrots, potatoes and turnips. Fields were visited one or more times during July and August. The incidence and severity of diseases were visually assessed on a crop-by-crop basis and samples were collected for laboratory analysis of the pathogens present, if any. Both infectious and non-infectious diseases were present on most crops. The infectious diseases were caused by various species of plant pathogenic bacteria and fungi that were common on these crops growing in other areas of Canada. INTRODUCTION AND METHODS: The 2020 field crop disease survey is believed to be the first organized study of its kind on agricultural crops in the Territory. In his book, "An Annotated Index of Plant Diseases in Canada . . . ", I.L. Conners lists over 300 records of plant diseases on trees, shrubs, herbs and grasses in the Yukon that were published by individuals who were surveying forests and native vegetation mainly for federal government departments, universities and other agencies (Conners 1967). The objectives of the 2020 survey were: (1) to determine the kinds and levels of diseases on selected Yukon crops, (2) to identify the major pathogen species attacking Yukon crops, and (3) to use the results to plan future surveillance activities aimed at helping producers to improve their current disease management programs. All of the fields included in the 2020 survey were situated on two commercial farms, which were designated as Farm #1 and #2, in the Whitehorse area in the southern Yukon (Fig. 1). The crops surveyed included cereals (barley and wheat), oilseeds (canola) and vegetables (beets, broccoli, cabbage, carrots, potatoes and turnips). Fields were visited one or more times in the mid- to late growing season (July/August) at a time when damage from diseases was most noticeable. Symptoms were visually assessed on a crop-by-crop basis by determining their incidence and severity. Incidence was represented by the percentage of plants, leaves, heads, kernels, etc., damaged in the target crop, while severity was estimated to be the proportion of the leaf, fruit, head, root/canopy area, etc., affected by a specific disease as follows: Proportion of the canopy affected based on a 0-4 rating scale, where: 0 = no disease symptoms, 1 = 1-10% of the crop canopy showing symptoms;2 = 11-25% showing symptoms, 3 = 26- 50% showing symptoms, and 4 = > 50% showing symptoms. Photographs of affected plants were taken and sent to plant pathologists across Western Canada for their opinions on causation. Where possible, representative samples of plants with disease symptoms were packaged and sent to the Alberta Plant Health Lab (APHL) in Edmonton, AB for diagnostic analyses. Background information, such as the general cultural practices and cropping history, was obtained from the producers wherever possible. GPS coordinates were obtained for each field to enable future mapping Cereals: Individual fields of barley (11 ha) and wheat (30 ha) located at Farm #1 were surveyed. The barley was a two-row forage cultivar 'CDC Maverick', while the wheat was an unspecified cultivar of Canada Prairie Spring (CPS) Wheat. Plant samples were taken along a W-shaped transect for a total of five sampling points for the barley field (< 20 ha) and ten sampling points for the wheat field (> 20 ha). The first visit, which occurred on July 30, involved visual inspection and destructive sampling wherein plants were collected and removed from the field for a detailed disease assessment at a lab space in Whitehorse. There, the roots were rinsed off and the plants were examined for disease symptoms. The second visit to these fields, which occurred on August 27, only involved visual examination of the standing crop. Oilseeds: A single 40 ha field of Polish canola (cv. 'Synergy') was examined o

The impact of COVID-19 pandemic on business risks and potato commercial model

This study was aimed (1) to analyze the productivity, cost, and income of potato farming;(2) to analyze the risk of potato farming;and (3) to analyze the potato trade system at the level before and during COVID-19 pandemic. This study used a descriptive-quantitative research type. It was conducted in Banjarnegara Regency, Jawa Tengah Province, Indonesia. The data were collected through surveys, observations, and Focus Group Discussions. The unit of analysis is the farmers who plant potatoes. Data analysis was done descriptively. The results showed that there is no difference between the two marketing channels before and during pandemic. There are two channels of the trading system, namely farmer-collector-traders-wholesaler-exporter partners and farmer-collector-traders-wholesalers-retailers. However, the trading model maximizes the Agribusiness Sub Terminal (AST) as a potato trading agent that can provide direct price information, attract traders, and facilitate transactions and trading contacts. The trading model allows potato trading agents to provide direct price information, attract traders, and facilitate transactions and trading contacts. The implication of this study is to anticipate productivity risk and potato farming income risk through the AST function. This study contributes to the condition of farming before and during COVID-19 pandemic by comparing differences in productivity, costs, income, productivity risk, and income risk as well as the potato grading model.

Contract Owner’s Best Commanding for Sweet Potato Farming Based on the Theory of Planned Behavior

The purpose of this study is to examine and compare different psychological and sociodemographic factors for contracting sweet potato production for farmers with different statuses based upon the theory of planned behavior (TPB). Sustainable production provides contract owners with a sufficient amount of both food crops and a source of bioethanol clean energy. The impact of such factors on potential farmers based on the TPB for a particular contract type is estimated with the data collected in three major sweet potato production cities/counties in Taiwan through the probit model and multinomial logit model. The average size of the surveyed farms is 1.64 ha. The results consistently show that the factors of attitude toward the advantages of contract farming, subjective norms regarding contract farming, perceived contract farming control, and behavior intention have very significant impacts on the selection of contract farming types for professional farmers and brokers. These results indicate that the contract owners will gain the greatest advantage through commanding any factor in TBP for these two groups of farmers, as they have an incentive to manage the sources of sweet potatoes at the best conditions before they have the agreement with the contract owners, either as the supply of bioethanol energy raw materials, supply of food crops, or supply of food processing materials.

Edible vaccines: a nutritional substitute for traditional immunization

Edible vaccines are created from transgenic plants and animals and contain immunostimulant. Edible vaccines, to put it simply, are medications generated from plants or animals. In underdeveloped countries, oral vaccines are less expensive and more widely available. Researchers came up with the idea of edible vaccines, in which edible plant pieces are employed as a vaccine factory. To make edible vaccinations, scientists put desired genes into plants and then force the plants to generate the proteins expressed in the genes. Transgenic plants are the result of transformation, whereas transformation is the act of converting plants. The edible vaccination promotes mucosal immunity. Dendritic cells in the gut can assist native T cells activate and differentiate into follicular T-helpers (Tfh). T and B cells will respond precisely to a reliable, digestible immunization. Potato, tomato, banana, carrots, tobacco, papaya, algae, and a variety of other plants are utilised as alternative agents for standard vaccinations. Malaria, cholera, hepatitis, rabies, measles, rotavirus, diarrhoea cancer treatments and treatment of covid-19 are among the illnesses for which plant-based vaccines have been created. It takes time and dedication to develop and sell edible vaccinations. Many edible vaccines for animal and human ailments have been developed and have gone through various levels of clinical testing. The importance of plant-based vaccinations is emphasized in this article.

‘Smarter food’ needed to end global hunger by 2030

Not only can agricultural science and research help bolster the nutritional value of staple crops, but it can also produce hardier varieties that can withstand pests and disease, meaning more produce surviving to harvest and providing additional income as a buffer. Since 2013, quality potato seed, improved crop management and value chain approaches have helped more than two million smallholder farmers in Africa and Asia. [...]making the right crops available for changing climates and cultural environments, and improving the availability of resilient, adapted varieties relies on protecting a back catalogue of genetic material to safeguard different features of different crops. The economic benefits of conservation are clear: gene banks like CIP’s contributed almost three-quarters of the $1 billion generated by the Victoria potato variety alone in Uganda between 1991 and 2016, which is just one indication of the potential economic value of conservation and utilisation of genetic materials.

Potato (Solanum tuberosum L.) Growth and Quality as Influenced by Inorganic Fertilizer Rates in Northwestern Ethiopia

Potato (Solanum tuberosum L.) is an important tuber crop that is highly affected by poor soil fertility and nutrient disparities. Nutrient depletion due to intensive monocropping and poor soil management practices is a serious problem in Ethiopia, including in northwestern areas. Therefore, an experiment was conducted in the East Gojjam zone of northwestern Ethiopia to evaluate the influence of phosphorus and potassium fertilizer rates on potato tuber production. Three phosphorus levels (0, 34.5, and 69 kg/ha−1) and four potassium levels (0, 100, 200, and 300 kg/ha−1) were set out in a factorial arrangement and replicated three times using a randomized complete block design. Data on growth and quality parameters, as well as plant tissue analysis results, were collected. According to the results, the main effects of phosphorus and potassium fertilizer rates statistically affected growth components. The combined effects of phosphorus and potassium fertilizers had a significant influence on quality components (tuber size distribution). Similarly, the interaction effects of phosphorus and potassium fertilizer rates gave the highest response in all nutrient use efficiency parameters. The combined application of 34.5 kg P2O5 and 200 kg K2O fertilizers resulted in the highest medium (28.32 ton/ha−1) and large-sized (20.0 ton/ha−1) tuber yields. The interaction effect of 34.5 kg P2O5 with 100 kg K2O ha−1 yielded the highest agronomic and recovery efficiency values. Hence, a combination of 34.5 kg P2O5 ha−1 and 200 kg K2O ha−1 fertilizer rates can be recommended for the optimal production of potato in the northwestern area.

Which food prices were more vulnerable to the COVID-19 blockade regulations in China? Comparison between perishable and storable vegetables

Purpose>This paper aims to investigate how differently the COVID-19 blockade regulations influence the prices of perishable and storable foods. The authors focus on the cases of the 2020 blockade at Hubei province and the 2021 blockade at Shijiazhuang city in China, and the authors examine how the blockade influenced the prices of Chinese cabbages (perishable) and potatoes (storable) within and around the blockade area.Design/methodology/approach>The paper employs the fixed effects model, the panel VAR (PVAR) model, and the spatial dynamic panel (SPD) model to estimate the impacts of the blockade on the food prices. It constructs the unique data set of 3-day average prices of Chinese cabbages and potatoes at main wholesale markets in China during the two urban blockade periods from January 1 to April 8 in 2020 and from January 1 to March 1 in 2021.Findings>The results from the SPD models indicate that the price of Chinese cabbages was more vulnerable and increased by 7.1–9.8% due to the two blockades while the price of potatoes increased by 1.2–6.1%. The blockades also significantly influenced the prices in the areas adjacent to the blockade area. The SPD results demonstrate that the impacts of the blockades would be overestimated if the spatial dependence is not controlled for in the fixed effects model and the PVAR model.Research limitations/implications>Because the research focuses on the cases in China, the results may lack generalizability. Further research for other countries is encouraged.Originality/value>This paper demonstrates the importance of considering food types and spatial dependence in examining the impact of the COVID-19 blockades on food prices.

LESSONS FROM THE COVID-19 PANDEMIC: SUPPLY CHAIN MANAGEMENT AND LEADERSHIP

The COVID-19 pandemic caused a huge disruption in Supply Chain in many sectors of the economy all over the world. The dire human and economic impact of the pandemic need no explanation as these issues were widely covered in the popular media, including radio, television, newspapers, and other print media. This article presents the cases, causes of supply chain disruptions, and draws lessons for leadership for future preparedness.

Impact of COVID-19 lockdown on prices of potato and onion in metropolitan cities of India. (Special Issue: COVID-19 in Agricultural and Development Economics.)

Purpose: This study focuses on accessing the impact of lockdown implemented to curb the pandemic of coronavirus disease 2019 (COVID-19) on prices of potato and onion crops using the time series analysis techniques. Design/methodology/approach: The present study uses secondary price series data for both crops. Along with the study of percent increase or decrease, the time series analysis techniques of autoregressive integrated moving average (ARIMA) and generalized autoregressive conditional heteroskedasticity (GARCH), as well as machine learning;neural network autoregressive (NNAR) models were used to model the prices. For the purpose of comparison, the data from past years were taken as the period of normalcy. The behaviour of the forecasts for the normal periods and during the pandemic based on respective datasets was compared. Findings: The results show that there was an unprecedented rise in prices during the months of lockdown. It could be attributed to the decline in arrivals due to several reasons like issues with transportation and labour availability. Also, towards the end of lockdown (May 2020), the prices seemed to decrease. Such a drop could be attributed to the relaxations in lockdown and reduced demand. The study also discusses that how some unique approaches like e-marketing, localized resource development for attaining self-sufficiency and developing transport chain, especially, for agriculture could help in such a situation of emergency. Research limitations/implications: A more extensive study could be conducted to mark the factors specifically that caused the increase in price. Originality/value: The study clearly marks that the prices of the crops increased more than expectations using time series methods. Also, it surveys the prevailing situation through available resources to link up the reasons behind it.

Impacts of zebra chip disease and irrigation on leaf physiological traits in potato

Zebra chip disease (ZC) is caused by the fastidious, phloem-limited, bacterial pathogen ' Candidatus Liberibacter solanacearum (Lso), which is transmitted from plant to plant by the potato psyllid (Bactericera cockerelli (Sulc)). Understanding how ZC impacts potato (Solanum tuberosum L.) physiology, could help growers in making more informed crop management decisions. Measurements of instantaneous leaf physiological responses, such as photosynthetic CO 2 uptake and transpiration on the leaf surface, can be used not only for fast screening of affected plants in the field but also for optimizing irrigation management. Over the 2019 and 2020 field seasons, we characterized time-course photosynthetic physiological responses of potato plants infested by potato psyllids (B. cockerelli (Sulc)) carrying the Lso haplotypes A+B. Potato plants were subjected to different variable-rate irrigation (VRI) treatments (100%, 80%, and 60% of field capacity of the soil) through a center-pivot sprinkler system to examine the impact of the disease on key physiological parameters of photosynthesis and transpiration. Leaf and air temperatures, and hyperspectral profiles of the canopy were also measured and compared. The measurements were made during midday weekly from 25 to 50 days after plant infestation (DAI) with bacteriliferous psyllids. The results showed that many of the measured variables, including stomatal conductance, photosynthesis rate, transpiration rate, quantum yields, and normalized difference in vegetation index started to decrease beginning approximately 28–35 DAI, gradually worsening until 50 DAI, in both 2019 and 2020, as the infection proceeded. The decreases in stomatal conductance in infected plants led to decreases in photosynthesis and transpiration. In turn, reduced transpiration resulted in increased leaf temperature due to decrease in evaporative cooling on the leaf surface. Higher leaf temperatures under hot and dry conditions with high light intensity during the daytime would further reduce photosynthetic light harvesting, which is supported by our data, indicating the damage to the photosynthetic pigment formation and machinery. These findings support the previous report that increased leaf temperature in infected plants may have been derived from the closure of stomata in hypersensitive reactions to infection. These stomatal responses were detected within 28 DAI, a week earlier than the differences in hyperspectral profiles observed 35 DAI, and could be implemented in early disease detection strategiesusing measurements of leaf temperature. • Stomata in zebra chip (ZC) diseased potatoes closed and did not recover over time. • Closed stomata caused leaf temperature to increase, damaging ZC diseased potatoes. • ZC disease symptoms can be differentiated from those under water deficit. [ FROM AUTHOR] Copyright of Agricultural Water Management is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Impact of zebra chip disease and irrigation levels on potato production

While many studies on zebra chip (ZC) disease in potatoes have focused on the epidemiology of the disease and the characterization of infected potato plants, this study quantifies the impact of ZC disease on crop response and investigates the relationship between irrigation level and ZC disease severity. In this two-year study chipping potatoes were planted under a variable rate irrigation center pivot sprinkler using a split-plot design with a 2 × 3 factorial combination of ZC disease level (diseased and non-diseased) and irrigation levels of 100%, 80% and 60% replenishment of soil water depletion to field capacity, designated I 100 , I 80 and I 60. Crop response of tuber yield, evapotranspiration (ET c), crop water productivity (CWP) and irrigation water productivity (IWP) from ZC diseased plots were compared with non-diseased (control) plots. Tuber yield and CWP in the infested plots were significantly reduced by at least 58% in 2018 and by 21% in 2019 as compared with results in the control plots. Year significantly affected crop response in the control plots, however, crop response in the ZC diseased plots was devastative to potatoes from year to year. There was no interaction between irrigation level and ZC disease occurrence. In both years, stomatal conductance measurements in ZC diseased plants were reduced 35 and 44 days after infection as compared with control plants. Since irrigation did not lessen the severity of ZC disease, as soon as diseased plants are identified within a field, withholding irrigation to the affected areas could improve IWP at the field level. Future studies should consider the use of thermal imaging or spectral reflectance of the plant canopy for spatiotemporal detection of ZC disease as early as possible in the growing season. • Zebra chip disease reduced fresh tuber yield by at least 58% in 2018 and by 21% in 2019. • Stomatal conductance and the ability to uptake water were limited in ZC diseased potato plants. • The interaction between Zebra chip disease and irrigation level was not significant. [ FROM AUTHOR] Copyright of Agricultural Water Management is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

The prices of perishable food commodities in India: the impact of the lockdown

Onions, potatoes, and tomatoes constitute an important component of the Indian diet. The COVID-19 pandemic in 2020 forced the government to impose a lockdown from 25 March to 31 May. This paper uses granular data to assess the impact of the lockdown on the daily arrivals and wholesale prices of these commodities at three metropolitan markets. The impact was significant and negative on the quantity traded, and positive on prices, but the heterogeneity across commodities and markets was considerable.

Crop Cycle Length Determines Optimal Transplanting Date for Seedlings from Hybrid True Potato Seeds

The technology of hybrid breeding in diploid potatoes creates opportunities to design novel and improved cultivation systems based on hybrid true potato seeds. A promising cultivation pathway to produce seed or ware tubers is by transplanting greenhouse-raised seedlings into the field. This study explored the effects of transplanting date and seedling age on tuber yield, using greenhouse-raised seedlings. Field trials with experimental hybrid genotypes were conducted in three consecutive years. In 2017 and 2018, 4- and 6-week-old seedlings were transplanted at four dates: March, April, May and June. In 2019, transplanting dates included April, May and June and seedling age was 5 weeks. In 2018, the March planting experienced severe frost during the initial field period resulting in crop failure. In 2017 and 2019, plants could withstand shorter and less severe frost events. Seedling age did not significantly affect tuber parameters. Transplanting in June resulted in lower marketable yield (> 28 mm) compared with earlier transplanting dates when crops were harvested in September. At full crop senescence, no differences in marketable yield were observed. The optimal transplanting window, taking into account weather-related risks, is approximately between early April and end May. For some genotypes, crop cycle length was observed to be a more important yield-determining factor than transplanting date. [ FROM AUTHOR] Copyright of Potato Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)