International Crops Research Institute for the Semi-Arid Tropics
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Multi-Environment Testing Based G × E Interactions Reveal Stable Host-Plant Resistance against Sterility Mosaic Disease in Pigeonpea
Sterility mosaic disease (SMD) is a serious biotic restraint in pigeonpea-growing regions of the Indian subcontinent. Disease control using chemicals like acaricides is not economical or sustainable, pointing towards host plant resistance as the ideal strategy for its management. In this study, from preliminary screening of 75 pigeonpea germplasm accessions and breeding lines, 21 pigeonpea genotypes showing moderate resistance to SMD were selected and again assessed at two multi-environment locations during Kharif 2021/2022 and 2022/2023. Analysis of variance partitioned the variation between the main effects of genotype and genotype × environment (GGE). The results revealed a significant variation (p ˂ 0.05) in the SMD incidence between the tested genotypes, environment, and their interactions. Genotype variance contributed the greatest effect (63.56%) to the total variation and it represents the maximum disease variation. Furthermore, a significant positive correlation was found for the levels of SMD incidence between the test environments. We observed that SMD incidence had a high negative correlation with the maximum temperature (r = −0.933), and positively correlated with the rainfall (r = 0.502). Analysis of principal components 1 and 2 of the GGE explained 95.33% of the total variation and identified 10 genotypes (G1, G3, G4, G8, G10, G12, G13, G15, G20, and G21) showing moderate resistance stability across the environments. As new sources of resistance to SMD, these genotypes should be incorporated in pigeonpea breeding trials for further release. This research broadens the area of phenotyping and identifies stable resistance sources that can be used in future SMD resistance breeding projects
Comparative assessment of farmers’ perceptions on climate change: Experiences from semi-arid tropics of India
The present study was conducted to assess farmers' perceptions of the effects of climate change on their livelihoods. The aim was to compare these perceptions regarding climate trends, related effects, and adaptation options among rural communities in three Semi-Arid Tropical (SAT) villages located in Maharashtra and Andhra Pradesh, representing different agro-ecological regions. This study employed both quantitative and qualitative research methods to elicit farmers' perceptions, including farm household surveys, focus group discussions, and key informant interviews. The results of the study indicate that farm households are aware of climate change and are particularly concerned about changes in rainfall patterns and increased frequency of drought events, both in inter-seasonal and intra-seasonal distribution. Among the studied villages, Dokur experienced the most severe impacts from these changes. Furthermore, farmers perceive that natural resources such as land, water, and biodiversity have been affected due to the variations in the climate. In response to these challenges, farmers have adopted a set of adaptation options, including changes in crop selection, land management, water usage, socio-economic strategies, and collective actions. However, the study found discouraging trends in the adoption of these adaptation options, primarily due to a range of barriers that hinder their ability to adapt efficiently to climate change. This study underscores the critical need for region-specific strategic research and development programs aimed at enhancing the biophysical and socioeconomic conditions of these rural areas. Such efforts would enable these communities to improve their adaptive capacity and livelihood resilience in the face of climate-related risks and impacts. Future policies and programs should prioritize the upliftment of these fragile SAT communities, with the goal of enhancing their resilience to climate change and improving their overall quality of life
Genome-based characterization of the deep-sea psychrotolerant bacterium Bacillus altitudinis SORB11 isolated from the Indian Sector of the Southern Ocean
Life under deep-sea undergoes unusual adaption, especially with darkness, increased pressure, cold, and recalcitrant carbon. Microbes in the deep sea usually evolved through selection and are likely to increase little important natural ability like motility, surface adhesion, and membrane with polyunsaturated fatty acids. Sporulation within the genus Bacillus may perhaps play an important role for survival in the deep-sea biosphere. Bacillus altitudinis SORB11 was isolated from the dark and cold deep-sea environment of the Southern Ocean. Violet radiation and starvation were primarily investigated and characterized; the bacterial strain is a motile, free-living, bathypelagic, psychrotolerant. Genome of the strain B. altitudinis SORB11 consisting of 3.6 Mb circular chromosome with an average 41.2% GC predictably included Brevibacillus phage genome. The genome harbored a considerable number of foreign genetic materials that would likely to be acquired by the lateral gene transfer. Moreover, the energy metabolic pathway associated genes, potentially involved in methane, sulfur, and nitrogen metabolisms, are essentially present in the genome. Cells of the strain were capable to withstand more than 1800 Jcmˉ2 exposure of UV-B radiation, consequently, the exposed cells were characterized by having thick cell-wall and reduced cell shape and size. UvrA and UvrB proteins from UvrABC repair system were over-expressed in the treated cells. So, detailed investigations on such adaptations might help to understand the origin and evolution of extremophilic organisms
Morpho-physiological characterization of barnyard millet mutants for salt tolerance
The Indian Barnyard millet (Echinochloa frumentacea), is a climate-resilient crop noted for its wide adaptability, short growth cycle, high nutritional value and stress tolerance. The present study was conducted to assess the salt tolerance level of the barnyard millet mutants. Twenty-five barnyard millet mutants along with check (MDU1 and CO(KV)2) were subjected to varying concentrations of sodium bicarbonate (NaHCO3) salt stress under controlled conditions. Germination percentage, root and shoot length, fresh and dry weight of seedlings were recorded, and stress tolerance indices were calculated. The analysis of variance revealed significant variation among mutants in response to salt stress. Highly tolerant mutants exhibited improved germination percentages and maintained favourable water relations under stress. The Relative Salt Injury Rate (RSIR) increased with higher salt levels, indicating increased sensitivity. Correlation analysis revealed a significant relationship between salt tolerance traits. Principal Component Analysis (PCA) helped to identify the main characteristics that caused variations among mutants. The significant contributors to this variation were Vigour Index (VI), Relative Growth Rate (RGR), Relative Water Content (RWC), and RSIR. Cluster analysis categorized mutants into four clusters, clearly distinguishing highly tolerant mutants from susceptible ones. Based on the findings promising salt-tolerant mutants, such as ACM21022, ACM21016, ACM21017, ACM21024, and ACM21014, were identified with the potential to contribute to future millet breeding programs
Genetic mapping identifies genomic regions and candidate genes for seed weight and shelling percentage in groundnut
Seed size is not only a yield-related trait but also an important measure to determine the commercial value of groundnut in the international market. For instance, small size is preferred in oil production, whereas large-sized seeds are preferred in confectioneries. In order to identify the genomic regions associated with 100-seed weight (HSW) and shelling percentage (SHP), the recombinant inbred line (RIL) population (Chico × ICGV 02251) of 352 individuals was
phenotyped for three seasons and genotyped with an Axiom_Arachis array containing 58K SNPs. A genetic map with 4199 SNP loci was constructed, spanning a map distance of 2708.36 cM. QTL analysis identified six QTLs for SHP, with three consistent QTLs on chromosomes A05, A08, and B10. Similarly, for HSW, seven QTLs located on chromosomes A01, A02, A04, A10, B05, B06, and B09 were identified. BIG SEED locus and spermidine synthase candidate genes associated with seed weight were identified in the QTL region on chromosome B09. Laccase, fibre protein, lipid transfer protein, senescence-associated protein, and disease-resistant NBS-LRR proteins were identified in the QTL regions associated with shelling percentage. The associated markers for major-effect QTLs for both traits successfully distinguished between the small- and largeseeded RILs. QTLs identified for HSW and SHP can be used for developing
potential selectable markers to improve the cultivars with desired seed size and shelling percentage to meet the demands of confectionery industries
Diversifying vegetable production systems for improving the livelihood of resource poor farmers on the East Indian Plateau
Failure of the rice crop, or low rice yield has dire consequences for rice-dependent households, including food insecurity and malnutrition, for India’s poorest farmers in the East Indian Plateau region. Crop diversification could reduce the risks of rice production from the vagaries of rainfall and provide cash income which is not generated from subsistence rice. Being the primary household laborers women bear the brunt of these difficult conditions in patriarchal societies. For this reason we engaged with the women farmers in Bokaro and West Singhbhum in the State of Jharkhand, and Purulia in West Bengal who participated in experiments conducted with vegetable crops and legumes in the upland and medium uplands where the traditional crop is broadcasted paddy rice. We explored four different vegetable systems, (i) cucurbits (rainy/kharif) (season—June to September), (ii) growing tomatoes in the “off season” (rainy season—July to October), (iii) growing legume crops in rotation with direct sown rice (dry/rabi season—November to January), and (iv) intercropping beans with maize (rainy season—June to September). The results showed that all the above crops proved much better in terms of income to the farmers, return per person day, although the input cost varied it was higher with the new systems explored. The research with the small-holding women farmers enabled them to try new options and make informed decisions about these opportunities. This study showed that farmers can increase crop diversity and expand the area sown to non-paddy crops. The farmers are now looking for new crops where the demand exceeds the supply. Importantly this study has demonstrated that the direct involvement of communities’ in research enables the farmers to sustainability explore solutions to the future problems with limited support from the external agencies
Conservation agriculture for regenerating soil health and climate change mitigation in smallholder systems of South Asia
The increase in agriculture production to meet the food demand of growing human population from a limited availability of arable land with low environmental footprints and preserving natural resources (soil, water and air) simultaneously are major challenges in South Asia. The situation is further complicated by the climate change, which will further lower the food production, compounding the challenge of meeting food demand. Conservation Agriculture (CA) is solution to several challenges being faced in farming such as soil health, climate change, water scarcity, agricultural pollution, farm profitability, human health, etc. This exhaustive review examines the published literature from South Asia to assess the impact of CA on soil organic carbon (SOC) and the subsequent impacts on soil health (physical, chemical and biological properties), C sequestration and greenhouse gases emissions in major cropping systems. The results from several studies demonstrated that CA increased SOC and improved soil health parameters, mainly in the surface soil layer. The effects of CA on the changes in soil pH and electrical conductivity are small. The CA showed a remarkable positive impact on the
nutrient availability in the soil. The CA system helped in both climate change mitigation and adaptation for sustainable crop production. The present gaps in our knowledge in soil health assessment and research agenda to fill the gaps are also included in this chapter. We hope this review of past accomplishments, current activities, and
future opportunities will stimulate additional soil health research throughout the 21st century
Long non-coding RNA-mediated epigenetic response for abiotic stress tolerance in plants
Plants perceive environmental fluctuations as stress and confront several stresses throughout their life cycle individually or in combination. Plants have evolved their sensing and signaling mechanisms to perceive and respond to a variety of stresses. Epigenetic regulation plays a critical role in the regulation of genes, spatiotemporal expression of genes under stress conditions and imparts a stress memory to encounter future stress responses. It is quintessential to integrate our understanding of genetics and epigenetics to maintain plant fitness, achieve desired genetic gains with no trade-offs, and durable long-term stress tolerance. The long non-coding RNA >200 nts having no coding potential (or very low) play several roles in epigenetic memory, contributing to the regulation of gene expression and the maintenance of cellular identity which include chromatin remodeling, imprinting (dosage compensation), stable silencing, facilitating nuclear organization, regulation of enhancer-promoter interactions, response to environmental signals and epigenetic switching. The lncRNAs are involved in a myriad of stress responses by activation or repression of target genes and hence are potential candidates for deploying in climate-resilient breeding programs. This review puts forward the significant roles of long non-coding RNA as an epigenetic response during abiotic stresses in plants and the prospects of deploying lncRNAs for designing climate-resilient plants
Characterization of the Pearl Millet Cultivation Environments in India: Status and Perspectives Enabled by Expanded Data Analytics and Digital Tools
The cultivation of pearl millet in India is experiencing important transformations. Here, we propose a new characterization of the pearl millet production environment using the latest available district level data (1998–2017), principal component analysis, and large-scale crop model simulations. Pearl millet cultivation environment can be divided in up to five environments (TPEs). The eastern
part of the country (Rajasthan, Haryana, Uttar Pradesh) emerges as the only region where pearl millet cultivation has grown (+0.4 Kha/year), with important yield increase (+51 kg/ha/year), and potential surplus that are likely exported. Important reductions of pearl millet cultivated area in Gujarat (-4.5 Kha/year), Maharashtra and Karnataka (-4 Kha/year) are potentially due to economydriven
transition to other more profitable crops, such as cotton or maize. The potential rain increase could also accelerate this transition. With R2 2 [0.15–0.61], the tested crop models reflected reasonably well the pearl millet production system in the A1 (North Radjasthan) and AE1 (South Rajastan and Haryana) TPEs covering the largest area (66%) and production share (59%), especially after the use of a new strategy for environment and management parameters calibration. Those results set the base for in silico system design and optimization in future climatic scenarios
Pathways and determinants of sustainable energy use for rice farms in India
Rice cultivation in the Northwestern Indo-Gangetic Plains (IGP) of India is often associated with high energy use, calling into question its sustainability. We applied a bootstrapped meta-frontier with a truncated regression to a database of 3,832 rice farms from the input-intensive rice production tracts of the Northwestern IGP as part of an assessment of energy use efficiency aimed at identifying entrypoints for more sustainable and efficient practices. District-specific technical efficiency score ranged between 0.68 and 0.99, with a mean of 0.86–0.90, suggesting an average potential for improvement in energy use efficiency of 10–14% within each district. Observed mean meta-frontier technical efficiency scores ranged between 0.60 and 0.81. On average, energy use efficient farms had 42% or higher energy use efficiency in the districts of Ambala, Fatehgarh Sahib, and Karnal. In contrast, in other districts efficient farms had 5-19% higher energy use efficiency than the inefficient farms. Higher rates of tillage, irrigation, and fertilizer application were identified among inefficient farms, with patterns of energy use efficiency varying to some extent between study districts. Both efficient and inefficient farms in Kapurthala and Ludhiana exhibited similar patterns of energy for tillage and land preparation, whereas the energy output from both efficient and inefficient farms were similar in Kurukshetra. These data suggest that in order to improve the efficiency of energy use in rice farms in the Northwestern IGP, district-level policy interventions and incentives might be required. The methodological approach and evidence provided in this study may be of use to identify pathways toward sustainable energy use in other intensively managed rice production landscapes in other countries. Similar analyses that employ meta-frontier and truncated regression approaches can be carried out for other performance indicators, for example profitability and carbon footprints, to explore and identify management and policy interventions to assist farmers to more appropriately utilize scarce and costly resource