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Background Reducing food loss and waste (FLW) may narrow gaps between fruit and vegetable production and recommended intake. However, FLW estimates are inconsistent due to varying estimation methods. Objectives Using multiple estimation approaches, we examined the extent and determinants of FLW along tomato supply chains in South India, from farm to retail. We also explored tomato quality assessments. Methods We surveyed 75 farm households and 83 tomato traders in the Chittoor district, Andhra Pradesh, and 52 vegetable traders and 50 vegetable retailers in Hyderabad, Telangana, on harvest and market days. We calculated declared FLW values using participant-reported losses to estimate the preharvest quality FLW and quantitative FLW values at the farmer, vegetable-trader, and vegetable-retailer stages. We calculated the destination FLW based on counted crates diverted to loss destinations, using participant-reported destinations (animal feed, field discard), to estimate the postharvest FLW from farm to retail. We used pile sorting with farmers to explore on-farm quality assessments. Results The average preharvest quality FLW was 13.9% of harvested tomatoes. From farm to retail, the quantitative FLW was greatest at the postharvest, farm level. Among all harvests, the median postharvest, farm-level FLW was 0.0% (IQR, 0.0%–7.9%) using the destination FLW approach (tomatoes diverted to nonfood uses) and 2.3% (IQR, 0.0%–12.5%) using the declared FLW approach (P  < 0.05). Among harvests with a non-zero postharvest, farm-level FLW, the median FLW was 9.1% (IQR, 2.4%–16.7%) using the destination FLW approach (tomatoes diverted to nonfood uses) and 10.0% (IQR, 2.9%–16.7%) using the declared FLW approach. Harvesting during peak season was a determinant of postharvest, farm-level and preauction, market-level FLW values. Farmers prioritize color/ripeness attributes while harvesting and tomato size while grading. Conclusions Single-point estimates may obscure FLW patterns for perishable, indeterminate crops and depend on data collection and estimation methods. Reducing FLW of perishables requires the integration of quantitative and qualitative FLW estimation methods. [ABSTRACT FROM AUTHOR]

Do firstborn children have a height advantage? Empirical findings have found mostly that, yes, second or higher-order children often lag behind firstborns in height outcomes, especially in developing countries. However, empirical investigations of birth-order effects on child height overlook the potential impact that birth spacing can have. We provide an explanation for the negative birth-order effect on stunting outcomes for young Indian children and show it is driven by short preceding-birth spacing. We find that firstborn children are taller than children of higher birth order: The height-for-age gap for third (or higher)-order children is twice the gap for children second in birth order. However, this pattern is observed when spacing between later-born children and their immediate elder siblings is fewer than 3 y. Interestingly, the firstborn height advantage disappears when later-born children are born at least 3 y after their elder siblings. Thus, our findings indicate that spacing length between children explains differences in height, over birth order. Although India's family planning policy has resulted in a substantial reduction in total fertility, its achievement in spacing subsequent births has been less impressive. In showing that spacing can alleviate or aggravate birth-order effects on attained height, our study fills an evidence gap: Reducing fertility alone may not be sufficient in overcoming negative birth-order effects. To reduce the detrimental effects of birth order on child stunting, policy responses--and therefore research priorities--require a stronger focus on increasing the time period between births. [ABSTRACT FROM AUTHOR]

Background: It is widely considered that women have less diverse diets than other household members. However, it has been challenging to establish this empirically since women's diet diversity is measured differently from that of other household members. Objective: In this article, we compare women's dietary diversity with that of their respective households and thereby generate a measure of "dietary gap." Methods: We measure women's "dietary gap" by using the difference of homogenized household and woman dietary scores (using the same scales). This is done using primary data on 3600 households from 4 districts in India. Additionally, we show the robustness of our results to variations in scale and recall periods used to construct the diet diversity scores. Results: Mean difference tests indicate that women consistently consume 0.1 to 0.5 fewer food groups relative to other household members, with the results being statistically significant at the 1% level. The food groups driving this dietary gap are nonstaples like Vitamin A-rich fruits and vegetables, meat/fish/poultry, and dairy. Conclusions: Results point toward the discrimination faced by women in the variety of the food consumed, the importance of considering comparability in creating indices of diet diversity, and the need to collect more detailed information on diets. To our knowledge, this is one of the first studies to examine dietary discrimination faced by women using common scales. [ABSTRACT FROM AUTHOR]

Background: Recent literature, largely from Africa, shows mixed effects of own-production on diet diversity. However, the role of own-production, relative to markets, in influencing food consumption becomes more pronounced as market integration increases.Objective: This paper investigates the relative importance of two factors - production diversity and household market integration - for the intake of a nutritious diet by women and households in rural India.Methods: Data analysis is based on primary data from an extensive agriculture-nutrition survey of 3600 Indian households that was collected in 2017. Dietary diversity scores are constructed for women and households is based on 24-hour and 7-day recall periods. Household market integration is measured as monthly household expenditure on key non-staple food groups. We measure production diversity in two ways - field-level and on-farm production diversity - in order to account for the cereal centric rice-wheat cropping system found in our study locations. The analysis is based on Ordinary Least Squares regressions where we control for a variety of village, household, and individual level covariates that affect food consumption, and village fixed effects. Robustness checks are done by way of using a Poisson regression specifications and 7-day recall period.Results: Conventional measures of field-level production diversity, like the number of crops or food groups grown, have no significant association with diet diversity. In contrast, it is on-farm production diversity (the field-level cultivation of pulses and on-farm livestock management, and kitchen gardens in the longer run) that is significantly associated with improved dietary diversity scores, thus suggesting the importance of non-staples in improving both individual and household dietary diversity. Furthermore, market purchases of non-staples like pulses and dairy products are associated with a significantly higher dietary diversity. Other significant determinants of dietary diversity include women's literacy and awareness of nutrition. These results mostly remain robust to changes in the recall period of the diet diversity measure and the nature of the empirical specification.Conclusions: This study contributes to the scarce empirical evidence related to diets in India. Additionally, our results indicate some key intervention areas - promoting livestock rearing, strengthening households' market integration (for purchase of non-staples) and increasing women's awareness about nutrition. These are more impactful than raising production diversity. [ABSTRACT FROM AUTHOR]

The Women's Empowerment in Agriculture Index (WEAI) is a direct, multi-dimensional measure of women's access to resources and decision-making in various domains of agriculture. However, several challenges characterize its use: adaptation of questionnaires to local agricultural contexts, modifications to index construction once underlying activities and adequacy thresholds are modified, and sensitivity analysis. In this paper, we address such challenges based on our experience of adapting and using the WEAI across 3600 households in India. In doing so we contribute to the methodological and technical base underlying the index, expand the WEAI evidence base for South Asia, and highlight the importance of tailoring the index to specific agricultural contexts in order to impact public policies in a meaningful way. • The Abbreviated Women's Empowerment in Agriculture Index (AWEAI) is contextually adapted for 3600 households in India. • We find that on average women in all four of our locations are disempowered in agriculture. • Disempowered women lack membership to agriculture-related Self- Help Groups, ownership of land and control over incomes. • There are significant differences between the original and our India- specific version of the AWEAI in each district. [ABSTRACT FROM AUTHOR]

Over half of all women of reproductive age are affected by anaemia in India. In this paper we study the role that both household market integration and women's empowerment in agriculture can play in determining women's dietary diversity. Our analysis is based on primary data from 3600 households across India on agriculture, nutrition and anthropometric outcomes. We account for market integration by way of per capita household purchases (quantity) of cereals and non- cereal food groups, such as pulses, meat/ fish/ poultry, fruits and vegetables, eggs and dairy. We construct an adapted version of the Abbreviated Women's Empowerment in Agriculture Index (A-WEAI) that is context- specific and agriculture- oriented. After controlling for individual, household and village- level explanatory factors, we find that – for a given level of per capita market purchases – women who are empowered in their agricultural decisions have significantly higher dietary diversity scores relative to women who are disempowered of such decisions. More specifically it is women's empowerment in two areas: input in production decisions and membership in self- help groups that supports this result. Women's empowerment also enhances dietary diversity in the presence of disaggregated per capita purchases of non-cereals such as pulses, meat, dairy and eggs. This highlights the importance of reorienting India's agricultural price and procurement policies beyond staple grains to ensure better dietary diversity. [ABSTRACT FROM AUTHOR]

Copyright of World Food Policy is the property of Wiley-Blackwell 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 abstract 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 abstract. (Copyright applies to all Abstracts.)

Copyright of World Food Policy is the property of Wiley-Blackwell 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 abstract 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 abstract. (Copyright applies to all Abstracts.)

Copyright of World Food Policy is the property of Wiley-Blackwell 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 abstract 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 abstract. (Copyright applies to all Abstracts.)

Food Policy, in much of Asia, has been slow to transition from its historic focus on staple grain self-sufficiency to a more integrated approach to nutrition security. Research and policy discussions continue to focus on hunger and calorie deficiency rather than on the need for a balanced diets to address chronic micronutrient malnutrition and the emerging problems of over weight and obesity. Social welfare schemes aimed at improving nutrition also focus on ensuring calorie sufficiency, neglecting quality and diversity of diets and behavioral change towards better nutrition. This paper provides a detailed review of the evolution of food policy in India and a way forward in the transition towards nutrition security. [ABSTRACT FROM AUTHOR]

• By 2015–16, 280 million men and women were at risk for overweight incidence and related noncommunicable diseases in India. • Women were more likely to be overweight, but the prevalence grew faster among men after 2005–06. • Urban overweight rates were comparable to the prevalence rates in developed countries, with rural overweight incidence rapidly catching up. • Biological factors and intrahousehold disparities in access to obesogenic technology account for gender differences within India. • In rural areas, obesogenic technologies, and in urban areas, obesogenic behaviors are correlated with overweight incidence. India, which has long suffered from undernutrition, has seen a rapid rise in overweight incidence in the last decade and a half. These changes are characterized by significant within-country differences in overweight incidence that vary by gender and regional development levels. In this paper, we provide an integrative framework, linking the income-gradient hypothesis of obesity with biological, obesogenic, and environmental factors to provide an explanation on the emergence of within-country differences in overweight patterns. We utilize measured body mass index (BMI), along with individual- and household-level data of over 800,000 men and women surveyed in the National Family Health Surveys of 2005–06 and 2015–16 to identify correlates of within-country differences in overweight incidence. A decomposition analysis reveals that among women, in addition to increasing access to obesogenic technologies, biological factors are associated with overweight incidence. Among men, obesogenic factors related to technology use and health behaviors are associated with the rise in overweight incidence, but biological factors are not. At lower levels of regional development, overweight incidence is associated with greater access to obesogenic technology such as motorized transport, which reduces physical activity among men at higher rates than women. At higher levels of economic development, obesogenic behaviors, such as watching more television and reducing smoking, are associated with overweight incidence. Our results corroborate the call by public health experts for group-specific policies to stem the rise of overweight incidence in developing countries. [ABSTRACT FROM AUTHOR]

• Women in agriculture allocate significant time to agriculture and household activities. • Rising time demands during peak season agriculture may affect women's nutrition. • Women's time trade-offs negatively affect consumption of various nutrients. • These associations vary by cropping pattern & land ownership. • Policies must recognize women's time constraints to improve their nutrition. Women in agriculture are involved in agricultural activities and are solely responsible for household-level unpaid work. They face severe time trade-offs between agricultural and household activities across crop seasons. Recent literature suggests that these time trade-offs may negatively impact their nutrition. However, there is no quantitative evidence exploring this relationship within an agricultural context. This paper addresses this research gap by analyzing the relationship between women's time trade-offs and their nutritional outcomes. Using a unique ten-month primary panel data of 960 women from India, our findings show that women are severely time-constrained, as they contribute significantly to agricultural as well as domestic work. Our results show that during peak seasons relative to lean seasons, women's time trade-offs (rising opportunity cost of time) are negatively associated with the intake of calories, proteins, iron,zinc and Vitamin A. We show that this negative relationship is manifested severely among women who are landless and cultivate paddy alone (food crop) or paddy and cotton (mixed crop). This study highlights the gendered role of agricultural activities in rural households and the need to recognize time as a scarce resource when implementing policies and programs involving women in agriculture. We contribute to the literature of agriculture-nutrition linkages by examining the the time use pathway in detail. Besides providing novel metrics, we discuss several policy implications to reduce women's time constraints and enhance their nutrition. [ABSTRACT FROM AUTHOR]

In this paper, we quantify the divergence in the cost of current diets as compared to EAT Lancet recommendations at the subnational-level in India. We use primary data on food prices and household food purchases, and secondary data on food expenditures for a period of 12 months in 2018–19. The cost of the EAT Lancet dietary recommendations for rural India ranges between $3.00- $5.00 per person per day. In contrast, actual dietary intake at present is valued at around $1.00 per person per day. In order to get to the EAT Lancet recommendations individuals will have to spend nearly $1.00 per person per day more on each of meat fish poultry, dairy foods and fruits. The deficit in current diets relative to recommendations is marked by seasonal variations driven by volatility in the underlying food prices. This paper extends the evidence base for the affordability of the EAT Lancet diet to a subnational-level in India, using the most recent data on prices and expenditures, over time. We highlight the need for tracking rural markets at the subnational level, over time for their nutritional quality and ability to provide affordable, nutritious diets to the poor. Crop diversification, investments in rural infrastructure and well-functioning markets can move rural India towards more nutrition sensitive food environments. • There is a significant gap between current food consumption and the EAT Lancet diets for India. • The cost of the EAT Lancet diets is $3.00- $5.00 per person per day in rural India. • Currently, individuals are consuming the equivalent of $1.00 per person per day. • Additional spending of $1 each is needed in nutrient- dense foods such as meat/fish/poultry, dairy & fruits. • Seasonal fluctuations in price and costs are high for Fruits, Green Leafy Vegetables & other vegetables. • This paper uses primary and secondary data on monthly food consumption and prices at the subnational level for 2018–19. [ABSTRACT FROM AUTHOR]

• Non-dietary pathways can potentially address micronutrient outcomes for women. • Women's iron status improves with higher empowerment levels in agriculture. • Women's minimum dietary diversity score is unable to reflect iron status. • Detailed data on blood tests fills the gap for reliable iron estimates in India. In this paper we study the relationship between women's empowerment in agriculture and their iron deficiency status in Maharashtra, India. This is the first time the Women's Empowerment in Agriculture Index (WEAI) has been used in association with explicit measurement of medical biomarkers for women's iron deficiency status. Using primary data for 960 women we find that the log odds of a poor iron status in women decline as women's empowerment levels in agriculture improve. Further, this decline is seen in the presence of multiple dietary diversity measures (dietary diversity score, share of rice and wheat in the diet, total iron intake and iron intake from iron-rich food groups – all for 24-h and 30-day recalls) suggesting that in addition to dietary pathways women's empowerment can play a role in addressing micronutrient deficiencies like those of iron in a vulnerable sub-group of the population. It also reinforces the need to move away from the 'staple grain fundamentalism' that has characterized agricultural policy in India, towards more nutrition-sensitive food systems. [ABSTRACT FROM AUTHOR]

• We show that the rise in rural obesity in India is closely associated with urbanization of its rural spaces. • These risks have increased disproportionately among lower socio-economic classes. • Those living near towns with a population of 50,000 & those living in more economically developed states are at greater risk. • Greater diet diversity alleviates the urban effect of the rural obesity pandemic. While obesity across rural India has doubled in the last decade, research explaining such an unprecedented change is sparse. This paper shows that the rise in the incidence of rural obesity is associated with the process of structural transformation, especially within rural spaces. As the distance to nearby towns from the villages has reduced, urban proximity not only leads to improved livelihoods but also a change in dietary practices and access to processed food. Combining the rural sample of India's latest National Family Health Survey (2015–16) with the estimates for town distance from the village clusters, we show that an additional kilometer of reduction in rural–urban distance increases the risk of obesity among women by 0.06 percent. Our estimates imply that for every kilometer of reduction in rural–urban proximity 3000 rural women become at-risk for obesity. Heterogeneity analysis shows that this burden is higher in towns with a population of over 50,000. We also find that the risk has increased disproportionately among the lower socio-economic classes. Similarly, states at a more mature stage of structural transformation face higher risk of obesity. Finally, we find that higher dietary diversity reduces the influence of urban growth on rural obesity. Our findings underscore the looming dual burden of malnutrition among developing countries and suggest that nutrition policies that promote diet diversity could be a panacea. [ABSTRACT FROM AUTHOR]

Abstract Soil health (SH) of managed lands in India is affected by anthropogenic activities such as nutrient mining, excessive tillage, and monocropping, which reduce the productive capacity of soils. A comprehensive SH characterization was conducted in 27 catchments in six districts of Jharkhand, India. Each was stratified into four landscape positions: (i) uncultivated upland in tree vegetation, (ii) cultivated upland in garden or orchard use, and (iii) midland and (iv) lowland areas in rice-fallow fields, yielding 113 soil samples from 0 to 15 cm and 20 from 30 to 40 cm depths. Soil textural separates as well as 15 dynamic physical, biological, and chemical properties were assessed using the Comprehensive Assessment of Soil Health framework. Nutrient analyses indicate low to very low P and K values, but high micronutrient levels. A district level ANOVA shows effects of inherent soil factors on the indicators. The influence of tillage, nutrient extraction as well as landscape hydrology on soil health indicators was apparent, notably showing uncultivated soils with higher overall SH. Puddle tillage affected the surface and subsurface soil, the latter showing reduced water holding capacity and less favorable biological indicators. Multivariate analyses showed directional separation of biological and chemical indicators in the first two principal components. A Best Subsets Regression analysis revealed organic matter, soil respiration and active carbon as the most predictive in determining overall SH scores (R2 adj = 0.87). In conclusion, a comprehensive soil health assessment using a spatial framework in Jharkhand, India identified multiple SH constraints related to farmer management, associated organic matter dynamics, and natural factors. Highlights • Soils in Jharkhand, India generally show physical, biological and chemical constraints related to crop production • P and K are low due to negative nutrient balances, although minor nutrients are generally sufficient • Cultivation practices, organic matter additions, and natural processes affect organic matter dynamics and soil health [ABSTRACT FROM AUTHOR]