Ethnobotanical Uses of Some Plants of Bhattiyat Block in District Chamba, Himachal Pradesh (Western Himalaya)

In this study an ethnobotanical survey of plant diversity was carried out at Bhattiyat block of District Chamba, Himachal Pradesh, India. The study was mainly focused on the medicinal plants used for treatment of various ailments/diseases by the nearby village inhabitants. The information was collected by questionnaire and consulting local elders. The present paper provides information on the indigenous therapeutic application and other traditional uses of 22 plant species that are commonly used by the natives of Bhattiyat block of District Chamba

Reviving the spiritual roots of agriculture for sustainability in farming and food systems: Lessons learned from peasant farming of Uttarakhand Hills in North-western India

The modern industrial agriculture is in crisis. People are questioning the quality, safety and sustainability of our industrial food system. People are also questioning the wisdom of scientific agriculture as science has eventually succeeded in taking the sacred out of farming. However, the crisis brings with it opportunities for decisive, positive change. Based on our recent studies on agri-food system dynamics of traditional small-scale hill farming in Uttarakhand state of north-western India, we could document some community LEK-based innovations that can bring sustainability in food and farming systems. The lessons learned are presented here in this communication that are expected to help create a regenerative farming system mainly by reclaiming the spiritual roots of farming and food systems

The future of smallholder farming in India: Some sustainability considerations

The biodiverse, predominantly crop-livestock mixed-farming in India is key to ensuring resilience to climate change and sustainability of smallholder farming agroecologies. Farmers traditionally grow diverse crops as polyculture, and agriculture is mainly organic/biodynamic with spirituality in food systems deeply ingrained. Job-driven out-migration of rural youths, the family labor force, and globalization of contemporary food choices under corporate industrial agriculture both adversely affect sustainability of traditional farming landscapes and compromise the nutrition and health of rural farming communities. Besides documenting information on general agri-food system policy inputs, our paper presents the results of an exploratory study of four crucial community-level initiatives conducted in four distinct agroecological landscapes of India, aimed at bringing sustainability to traditional farming and food systems. The driving force for fundamental change in agri-food system, and in society, is the question of sustainability. The organic and local food movements are but specific phases of the larger, more fundamental sustainable agri-food movement. While it is very critical to increase farmer livelihood, it is even more important to increase overall rural economy. It was found that four important interventions viz. linking organic agriculture to community-supported agriculture (CSA) initiatives; linking small-holder farming to school meal (MDM) programmes; enhanced market access and value chain development for local agricultural produce; and creation of employment opportunities at community level for rural youths and reducing over-dependence of rural population on agriculture as source of income can make traditional farming more profitable and sustainable. The transition to more sustainable methods of farming by selling the farm produce “locally” helps both consumers and farmers alike and is considered a future strength of smallholder Indian agriculture

Varietal threat index for monitoring crop diversity on farms in five agro-ecological regions in India

Our knowledge about the status of agrobiodiversity on farms is still very limited. While several studies to assess the crop genetic diversity on farms have been undertaken, there are no systematic documentation and monitoring practices for varietal diversity in space and time. Achieve ment of the agrobiodiversity Aichi Target 13, established under the Biodiversity Strategy Plan 2011–2020, have failed due to the lack of existing data on varietal diversity at country, regional and global levels. Here, we propose a method for calculating the Varietal Threat Index using the four-cell analysis (FCA) participatory methodology at different geographical scales to monitor changes in the varietal diversity on farms and to compare between areas. We tested the method with datasets collected from the UN-Environment GEF project implemented in India, in which data on crop and varietal diversity were collected across seven states in India, covering five agroecological regions. Results showed that landraces are still commonly grown in the study sites, especially in the central and western regions, and that more than 50% of landraces are considered threatened, suggesting that conservation interventions are required to prevent large-scale genetic erosion. A long-term monitoring framework for varietal diversity in India is proposed

Agroecological Approach to Farming for Sustainable Development: The Indian Scenario

Agroecology is the application of ecological principles to agricultural systems and practices and the application of social justice principles to whole food systems. Agroecological farming, an unfamiliar concept to those who treat agriculture and ecology as separate subjects, refers to farming for producing food, employment and economic benefits in addition to cultural, social and environmental services and benefits. Additionally, agroecology empowers farming communities, as the key agents of change, and addresses the root cause of problems of unsustainable agricultural systems in an integrated way and provides holistic and long-term solutions to transform the food and agricultural systems. As agroecology is at the forefront of transforming farming and food system sustainability, the present chapter specifically explores the state of Indian traditional farming agroecosystems, evidence collected under the ongoing Indian UNEP-GEF project “Mainstreaming agricultural biodiversity conservation and utilization in agricultural sector to ensure ecosystem services and reduce vulnerability”. We discuss traditional Indian farming in view of FAO’s 10 principles of Agroecology which is key to help policymakers, practitioners and stakeholders, in planning, managing and evaluating agroecological transitions

Agro-morphological characterization and nutritional profiling of traditional Himalayan crop landraces for their promotion toward mainstream agriculture

The northwest Indian Himalayas are often regarded as a biological hotspot for the presence of rich agro-biodiversity harboring locally adapted traditional crop landraces facing utter neglect owing to modern agricultural systems promoting high-yielding varieties. Addressing this challenge requires extricating the potential of such cultivars in terms of agro-morphological and nutritional attributes. In this study, 29 traditional crop landraces of maize (11), paddy (07), finger millet (03), buckwheat (05), and naked barley (03) were characterized and evaluated for target traits of interest. In maize, Chitkanu emerged as an early maturing landrace (107 days) with high concentrations of zinc (Zn), iron (Fe), and potassium (K), and Safed makki showed the highest 100-seed weight (28.20 g). Similarly, Bamkua dhan exhibited high concentrations of K and phosphorus (P), and Lamgudi dhan showed a high protein content (14.86 g/100 g) among paddy landraces. Ogla-I and Phapra-I showed high contents of protein (14.80 g/100 g) and flavonoids (20.50 mg/g) among buckwheat landraces, respectively, followed by Nei-I, which exhibited the highest protein content (15.66 g/100 g) among naked barley landraces. Most of the target traits varied significantly (p < 0.05) among evaluated samples, except those associated with finger millet landraces. The grouping pattern obtained by principal component analysis (PCA) and multidimensional scaling (MDS) was congruent with the geographical relationship among the crop landraces. This study led to the identification of elite crop landraces having useful variations that could be exploited in plant breeding programs and biofortification strategies for future crop improvement. Our endeavor would aid in conserving the depleting Himalayan agro-biodiversity and promoting versatile traditional crops toward mainstream agriculture vis-à-vis future nutritional security

A field manual for soil health assessment by farmers

This manual presents a set of indicators and their measurements, adapted for easy application in the field for assessing soil health. It is useful as a reference manual for farmers to assess the soil health status of their fields themselves. This manual also gives some basic information on the indicators useful for field extension workers to understand the functions of the different soil health indicators and help in adapting the management practices to effectively overcome any constraint

Development and optimization of NIRS prediction models for simultaneous multi-trait assessment in diverse cowpea germplasm

Cowpea (Vigna unguiculata (L.) Walp.) is one such legume that can facilitate achieving sustainable nutrition and climate change goals. Assessing nutritional traits conventionally can be laborious and time-consuming. NIRS is a technique used to rapidly determine biochemical parameters for large germplasm. NIRS prediction models were developed to assess protein, starch, TDF, phenols, and phytic acid based on MPLS regression. Higher RSQexternal values such as 0.903, 0.997, 0.901, 0.706, and 0.955 were obtained for protein, starch, TDF, phenols, and phytic acid respectively. Models for all the traits displayed RPD values of >2.5 except phenols and low SEP indicating the excellent prediction of models. For all the traits worked, p-value ≥ 0.05 implied the accuracy and reliability score >0.8 (except phenol) ensured the applicability of the models. These prediction models will facilitate high throughput screening of large cowpea germplasm in a non-destructive way and the selection of desirable chemotypes in any genetic background with huge application in cowpea crop improvement programs across the world

Germplasm variability-assisted near infrared reflectance spectroscopy chemometrics to develop multi-trait robust prediction models in rice

Rice is a major staple food across the world in which wide variations in nutrient composition are reported. Rice improvement programs need germplasm accessions with extreme values for any nutritional trait. Near infrared reflectance spectroscopy (NIRS) uses electromagnetic radiations in the NIR region to rapidly measure the biochemical composition of food and agricultural products. NIRS prediction models provide a rapid assessment tool but their applicability is limited by the sample diversity, used for developing them. NIRS spectral variability was used to select a diverse sample set of 180 accessions, and reference data were generated using association of analytical chemists and standard methods. Different spectral pre-processing (up to fourth-order derivatization), scatter corrections (SNV-DT, MSC), and regression methods (partial least square, modified partial least square, and principle component regression) were employed for each trait. Best-fit models for total protein, starch, amylose, dietary fiber, and oil content were selected based on high RSQ, RPD with low SEP(C) in external validation. All the prediction models had ratio of prediction to deviation (RPD) > 2 amongst which the best models were obtained for dietary fiber and protein with R2 = 0.945 and 0.917, SEP(C) = 0.069 and 0.329, and RPD = 3.62 and 3.46. A paired sample t-test at a 95% confidence interval was performed to ensure that the difference in predicted and laboratory values was non-significant