International Crops Research Institute for the Semi-Arid Tropics
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Impacts of irrigation tank restoration on water bodies and croplands in Telangana State of India using Landsat time series data and machine learning algorithms
Get PDFIn 2014, the State of Telangana in southern India began repairing and restoring more than 46,000 irrigation water tanks (artificial reservoirs) under the Mission Kakatiya project with an investment in excess of USD 2 billion. In this study, we attempted to map the temporal changes that have occurred in cropland areas and water bodies as a result of the project, using remote sensing imagery and applying land use/land cover (LULC) mapping algorithms. We used 16-day time series data from Landsat 8 to study the spatial
distribution of changes in water bodies and cropland areas over the 2013–18 period. Ground survey information was used to assess the pixel-based accuracy of the Landsat-derived data. The areas served by these tanks were identified on the basis of training data and Random Forest algorithms using Google Earth Engine. Our spatial analysis revealed a substantial increase in cropped area under irrigation and expansion of water bodies over the study period. We observed a 20% increase in total tank area in 2017–18 and total cropland and irrigated area expansion of the order of 0.6M ha and 0.2M ha, respectively. A comparison of ground survey data and four LULC classes derived from Landsat temporal imagery showed an overall accuracy of 87%, significantly
correlated with national agriculture statistics. Periodic monitoring based on remote sensing has proved to be an effective method of capturing LULC changes resulting from the Mission Kakatiya interventions. Higher-resolution satellite data can further improve the accuracy of estimates
Response of Teff ((Eragrostis tef (zucc.) Trotter) to nitrogen and phosphorus applications on different landscapes in eastern Amhara
Get PDFThe dynamic nature of soil fertility status across different landscapes attracted research attention in Ethiopia and the globe. Teff [Eragrotis tef] is a major staple cereal crop in Ethiopia but yields are low due to inadequate nutrient supply and other constraints. A field study was conducted in
2020 and 2021 in the Habru district of Amhara Region to determine teff yield response to fertilizer-N and -P at hillslope, midslope, and footslope positions with slopes of >15%, 5–15%, and 0–5%, respectively. N and P fertilizer rates were factorially combined in randomized complete
block design with three replications in each farmer’s field. A linear mixed modeling framework was used to determine effects on grain yield due to N rate, P rate, slope, study sites, and years. Model fit was examined using Akaike’s Information Criterion and Bayesian Information Criterion. Economic analysis was done with a quadratic response function to determine the economics of fertilizer. Yield response to fertilizer-P was affected by slope but the response to fertilizer-N was not affected. Teff yield increase with fertilizer-N application up to 92 kg ha-1 the economic optimum rate based on the yield response function for nitrogen fertilizer was 85.4 kg ha-1 to obtain maximum profit (86878.8 birr ha-1). Similarly, the optimum phosphorus fertilizer rate at the hill slope was 39.7 kg ha-1 to obtain a maximum profit of (96847.8 birr ha-1). But
there was not a profitable response at the midslope and foot slope positions. Therefore, for Habru district and similar agroecologies85.4 kg ha-1 N and 39.7 kg ha-1 P in hillslopes and only 85.4 N kg ha-1 for midslopes and foot slopes are expected to give the most profitable returns to fertilizer
applied for tef production
Developing climate change agro-adaptation strategies through field experiments and simulation analyses for sustainable sorghum production in semi-arid tropics of India
Get PDFChange in rainfall pattern with longer dry period depletes soil water content (SWC) and incorrect sowing time adversely affects rainfed sorghum production in Semi-Arid Tropics (SATs). The present study was conducted to develop agricultural water management strategies for improving SWC and to evaluate sowing time as climate change agro-adaptations for sorghum production in SATs. The field experiments on two land-water management (flatbed, broad bed furrows (BBF)) and four nutrient management (application of macro-and micronutrients through combination of chemical and organic fertilizers) were conducted in 2014 and 2015 at International Crops Research Institute for the Semi-Arid Tropics, India. The average SWC in ‘BBF’ was higher over ‘flatbed’ by 0.90 cm and 1.06 cm in 0–30 cm soil depth, 0.67 cm and 1.02 cm in 30–60 cm depth, 0.51 cm and 0.84 cm in
60–90 cm depth and, 0.34 cm and 0.67 cm in 90–120 cm during 2014 and 2015, respectively. The SWC in BBF was higher over flatbed by 7.28% throughout 0–120 cm soil depth during longest dry period of 26 days in the year 2014. The simulation analyses using DSSAT Version 4.6 for Coupled Model Intercomparison Project Phase 5 with RCP 4.5 stated that postponing the normal sowing time (30 June) to 10 July resulted in lower grain yield reduction i.e. 14.75% in 2030 and 19.37% in 2050 as compared to base period (1988–2007) yield with normal sowing in Parbhani location of India. The BBF combined with macro-and micronutrients application through chemical fertilizer and postponing sowing time was found the effective climate change agro-adaptation strategies for improving sorghum production in SATs. This study indicates the need for desired policy orientation by the government to promote integrated land-water-nutrient management as the effective agro-adaptations to climate
change in SATs
Exploring gender differences in trait preferences among groundnut value chain actors in northern Ghana
Get PDFAssessing gender differences in trait preferences of groundnut value chain actors can influence the effectiveness of crop breeding programs, the adoption of developed technologies, and policy interventions. However, there is limited evidence to support decisions that meet end users’ demands, given that most studies do not disaggregate trait preferences by sex and age. We use a stated preference method to characterize the preferences and willingness to pay (WTP) for various attributes of improved groundnut varieties by male and female youth and older adults in the different segments of the groundnut value chain. The results indicate heterogeneity in preference and WTP for production, market, and nutrition attributes of groundnut across supply chain actors. The results showed that gender is not a unifying factor in respondents’ WTP, revealing dissimilarities among youth and older adults of the same sex group. Our findings suggest that groundnut breeding programs must prioritize production, market, and nutrition attributes based on gender needs to speed up the process of adoption, commercialization, and utilization of groundnut
Integrated multi-omics analysis reveals drought stress response mechanism in chickpea (Cicer arietinum L.)
Get PDFDrought is one of the major constraints limiting chickpea productivity. To unravel complex mechanisms regulating drought response in chickpea, we generated transcriptomics, proteomics, and metabolomics datasets from root tissues of four contrasting drought-responsive chickpea genotypes: ICC 4958, JG 11, and JG 11+ (drought-tolerant), and ICC 1882 (drought-sensitive) under control and drought stress conditions. Integration of transcriptomics and proteomics data identified enriched hub proteins encoding isoflavone 4′-O-methyltransferase, UDP-d-glucose/UDP-d-galactose 4-epimerase, and delta-1-pyrroline-5-carboxylate synthetase. These proteins highlighted the involvement of pathways such as antibiotic biosynthesis, galactose metabolism, and isoflavonoid biosynthesis in activating drought stress response mechanisms. Subsequently, the integration of metabolomics data identified six metabolites (fructose, galactose, glucose, myoinositol, galactinol, and raffinose) that showed a significant correlation with galactose metabolism. Integration of root-omics data also revealed some key candidate genes underlying the drought-responsive “QTL-hotspot” region. These results provided key insights into complex molecular mechanisms underlying drought stress response in chickpea
Production decisions and food security outcomes of smallholder’s livestock market participation: empirical evidence from Zimbabwe
Get PDFSmallholder market participation is an important pathway to improving the productivity and livelihoods of farm households. Despite several studies documenting the effect of market participation on crop production, relatively little is known about the effect of smallholder participation in livestock markets. We investigate effects of smallholder market participation on livestock production and household food security in Zimbabwe. Using survey data collected from 625 households and an instrumental variables strategy to address endogeneity concerns, we find that households participating in livestock markets are more likely to engage in market-oriented livestock production, use improved livestock inputs, and have better food security outcomes. While market participants are more likely to consider market conditions in their decisions, most farmers are needs-driven and cannot afford to adopt commercial-oriented behavior. Overall, smallholder livestock production systems respond to market incentives and can support food security strategies, particularly in drylands where crop production is risky
Scientific agenda for climate risk and impact assessment of West African cropping systems
Get PDFRainfed agriculture is at the centre of many West African economies and a key livelihood strategy in the region. Highly variable rainfall patterns lead to a situation in
which farmers’ investments to increase productivity are very risky and will become more risky with climate change. Process-based cropping system models are a key tool to assess the impact of weather variability and climate change, as well as the effect of crop management options on crop yields, soil fertility and farming system resilience and widely used by the West African scientific community. Challenges to use are related to their consideration of the prevailing systems and conditions of West African farms, as well as limited data availability for calibration. We outline here a number of factors need to be considered if they are to contribute to the scientific basis underlying transformation of farming systems towards sustainability. These include: capacity building, improved models, FAIR data, research partnerships and using models in co-development settings
Designing sustainable smallholder farming systems in global south: Integrating multidimensional and whole farm perspective using systems tool box
No full textThe absence of comprehensive and user friendly tools for assessing multiple dimensions of farming and livelihood systems often lead to poor targeting of development policies and interventions
Proteomics as a tool for analyzing plant responses to abiotic and biotic stresses
No full textPlant proteomes are profoundly affected by biotic and abiotic stresses, including changes in protein abundances, cellular localization, posttranscriptional and posttranslational modifications (PTMs), protein interactions with other protein partners, and, finally, protein biological functions. Reduced crop yield results from these stress-induced modifications. As a result, a comprehensive method of expedited gene identification using genomics, proteomics, and some other allied omic branches of biotechnology is proven to be a successful technique to advance crop improvement programs worldwide. Accelerated advancements in omic databases will become crucial in the near future, prompting urgent attention for the proper application of these approaches to create next-generation crops for farmers. The information recorded by omic technologies is used in the significant number of biotechnological uses. The most recent exceptional advancements in proteomic platforms, as well as various other yet related achievements in plant biotechnology approaches, provide a number of novel strategies to encourage plant scientists to adopt these technologies for crop improvement programmes. In this chapter, we will discuss on proteomics as a tool for analyzing plant responses to abiotic and biotic stresses, as well as cases of how it is been used to boost conventional crop improvement program