Impacts of Climate Change on Agriculture

Kalra, Naveen; Chander, Subhash; Pathak, H.; Aggarwal, Pramila; Gupta, Nikesh; Sehgal, Mukesh; Chakraborty, Debashis

doi:10.5367/000000007781159903

Cited by 53 publications

(26 citation statements)

References 11 publications

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“…This can be seen from the LER values of all of the treatments in strip intercropping which were > 1 ( Table 2), which means that the land use efficiency is higher in strip intercropping compared to the monoculture system [8]. This result is in accordance with an earlier finding that stated that strip intercropping was more productive than monoculture [9].…”

Section: Resultssupporting

confidence: 82%

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Strip intercropping productivity of modern maize hybrid varieties with pulse crops on a dryland

Jaya¹

2018

Proceedings of the 1st International Conference Postgraduate School Universitas Airlangga : "Implementation of Climate Change A

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Abstract-Improving crop diversity on a piece of land, such as by intercropping, is one of the adaptation strategies in response to climate change in dryland areas. The aim of the present study was to estimate the strip intercropping productivity that was expressed as a Land Equivalent Ratio (LER) of maize and pulse crops on dryland. Two modern maize hybrid varieties, NK212 (nonpremium) and NK7328 (premium), and two pulse crops, groundnut (Hypoma-1) and mungbean (Vima-1) were grown both as monoculture and strip intercropping. The study was conducted on an Entisol sandy soil area in a dryland sector of Gumantar village, North Lombok (8.253654 S, 116.285695 E). The size of each treatment plot was 8.4 x 5m with an east-west orientation. Maize crops were planted in double-rows with 35 x 20cm spacing within the row and 70cm between the double rows with one seed per hole. Groundnut and mungbean crops were planted at 20 x 20cm with one seed per hole. From these spacings, 70% of th land portion in strip intercropping was for maize and the other 30% was for either groundnut or mungbean. The results showed that the premium variety of maize NK7328 out-yielded NK212, both in monocrop and strip intercropping with mungbean and groundnut. All LER values for the strip intercropping were higher than 1.0, with the highest (1.25) from NK212-mungbean. These results indicate that strip intercropping of maize-pulse crops has a productivity advantage over monoculture on a dryland. In addition to higher productivity, strip intercropping can also spread the risk of crop failure in dryland areas during the recent period of high variability in climate.

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Section: Resultssupporting

confidence: 82%

“…To measure the productivity of an intercropping, one of the ways is to calculate the land equivalency ratio (LER). LER can be calculated based on the following formula [8];…”

Section: Introductionmentioning

confidence: 99%

Strip intercropping productivity of modern maize hybrid varieties with pulse crops on a dryland

Jaya¹

2018

Proceedings of the 1st International Conference Postgraduate School Universitas Airlangga : "Implementation of Climate Change A

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“…High population growth rates and rapidly developing economies demand ever increasing rates of food production. In India alone, a 50-100% increase in yields of major crops is required to achieve food security by the middle of the 21st century under the current population projections [52]. This will be a challenge for India and other WLT countries currently experiencing declining rates of production.…”

Section: Resultsmentioning

confidence: 99%

Decadal Variations in NDVI and Food Production in India

et al. 2010

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Abstract:In this study we use long-term satellite, climate, and crop observations to document the spatial distribution of the recent stagnation in food grain production affecting the water-limited tropics (WLT), a region where 1.5 billion people live and depend on local agriculture that is constrained by chronic water shortages. Overall, our analysis shows that the recent stagnation in food production is corroborated by satellite data. The growth rate in annually integrated vegetation greenness, a measure of crop growth, has declined significantly (p < 0.10) in 23% of the WLT cropland area during the last decade, while statistically significant increases in the growth rates account for less than 2%. In OPEN ACCESSRemote Sens. 2010, 2 759 most countries, the decade-long declines appear to be primarily due to unsustainable crop management practices rather than climate alone. One quarter of the statistically significant declines are observed in India, which with the world's largest population of food-insecure people and largest WLT croplands, is a leading example of the observed declines. Here we show geographically matching patterns of enhanced crop production and irrigation expansion with groundwater that have leveled off in the past decade. We estimate that, in the absence of irrigation, the enhancement in dry-season food grain production in India, during 1982India, during -2002 have required an increase in annual rainfall of at least 30% over almost half of the cropland area. This suggests that the past expansion of use of irrigation has not been sustainable. We expect that improved surface and groundwater management practices will be required to reverse the recent food grain production declines.

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“…However, more recent SSCM studies have focused on the determination of the spatial variability of soil nutrients, water stress, location-based crop diseases, and other parameters associated with in-field variability [28][29][30][31][32][33][34][35][36][37][38]. Some research has also been performed to determine the potential impact of climate change on the spatial variability of crop production, especially on a larger scale [28,29].…”

Section: Precision Agriculture For Management Of Traditional Agronomimentioning

confidence: 99%

Remote Sensing and Geospatial Technological Applications for Site-specific Management of Fruit and Nut Crops: A Review

Panda¹,

Hoogenboom

Paz

2010

Remote Sensing

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Site-specific crop management (SSCM) is one facet of precision agriculture which is helping increase production with minimal input. It has enhanced the cost-benefit scenario in crop production. Even though the SSCM is very widely used in row crop agriculture like corn, wheat, rice, soybean, etc. it has very little application in cash crops like fruit and nut. The main goal of this review paper was to conduct a comprehensive review of advanced technologies, including geospatial technologies, used in site-specific management of fruit and nut crops. The review explores various remote sensing data from different platforms like satellite, LIDAR, aerial, and field imaging. The study analyzes the use of satellite sensors, such as Quickbird, Landsat, SPOT, and IRS imagery as well as hyperspectral narrow-band remote sensing data in study of fruit and nut crops in blueberry, citrus, peach, apple, etc. The study also explores other geospatial technologies such as GPS, GIS spatial modeling, advanced image processing techniques, and information technology for suitability study, orchard delineation, and classification accuracy assessment. The study also provides an example of a geospatial model developed in ArcGIS ModelBuilder to automate the blueberry production suitability analysis. The GIS spatial model is developed using various crop characteristics such as chilling hours, soil permeability, drainage, and pH, and land cover to determine the best sites for growing OPEN ACCESSRemote Sensing 2010, 2 1974 blueberry in Georgia, U.S. The study also provides a list of spectral reflectance curves developed for some fruit and nut crops, blueberry, crowberry, redblush citrus, orange, prickly pear, and peach. The study also explains these curves in detail to help researchers choose the image platform, sensor, and spectrum wavelength for various fruit and nut crops SSCM.

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Impacts of Climate Change on Agriculture

Cited by 53 publications

References 11 publications

Strip intercropping productivity of modern maize hybrid varieties with pulse crops on a dryland

Strip intercropping productivity of modern maize hybrid varieties with pulse crops on a dryland

Decadal Variations in NDVI and Food Production in India

Remote Sensing and Geospatial Technological Applications for Site-specific Management of Fruit and Nut Crops: A Review

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