Improving the Productivity of Rainfed Farming Systems of Small and Marginal Farmers in Adilabad District, Telangana

Gopinath, K. A.; Srinivasarao, Ch; Chary, G. Ravindra; Dixit, Sreenath; Osman, M.; Raju, B. M. K.; Ramana, D.B.V.; Saroja, D. G. M.; Venkatesh, G.; Maheswari, M.

doi:10.5958/2231-6701.2014.01194.4

Cited by 6 publications

(4 citation statements)

References 1 publication

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“…The majority of the Water 2020, 12, 211 3 of 22 farmers in the district are marginal or small farmers and are highly vulnerable to climate change. Climate resilient agriculture and best management practices in farming are required in the region for sustainable agriculture [59,60]. Groundwater quality is very alarming in many areas of the Ananthapuramu district, and the situation could worsen due to changes in the precipitation pattern [61].…”

Section: Introductionmentioning

confidence: 99%

Long-Term Homogeneity, Trend, and Change-Point Analysis of Rainfall in the Arid District of Ananthapuramu, Andhra Pradesh State, India

Patakamuri

Muthiah

Sridhar

2020

Water

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The objective of this study is to evaluate the homogeneity, trend, and trend change points in the rainfall data. Daily rainfall data was collected for the arid district of Ananthapuramu, Andhra Pradesh state, India from 1981 to 2016 at the subdistrict level and aggregated to monthly, annual, seasonal rainfall totals, and the number of rainy days. After quality checks and homogeneity analysis, a total of 27 rain gauge locations were considered for trend analysis. A serial correlation test was applied to all the time series to identify serially independent series. NonParametric Mann–Kendall test and Spearman’s rank correlation tests were applied to serially independent series. The magnitude of the trend was calculated using Sen’s slope method. For the data influenced by serial correlation, various modified versions of Mann–Kendall tests (pre-whitening, trend-free pre-whitening, bias-corrected pre-whitening, and two variants of variance correction approaches) were applied. A significant increasing summer rainfall trend is observed in six out of 27 stations. Significant decreasing trends are observed at two stations during the southwest monsoon season and at two stations during the northeast monsoon season. To identify the trend change points in the time series, distribution−free cumulative sum test, and sequential Mann–Kendall tests were applied. Two open−source library packages were developed in R language namely, ”modifiedmk” and ”trendchange” to implement the statistical tests mentioned in this paper. The study results benefit water resource management, drought mitigation, socio−economic development, and sustainable agricultural planning in the region.

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Section: Introductionmentioning

confidence: 99%

Long-Term Homogeneity, Trend, and Change-Point Analysis of Rainfall in the Arid District of Ananthapuramu, Andhra Pradesh State, India

Patakamuri

Muthiah

Sridhar

2020

Water

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“…The majority of the farmers in the district are marginal or small farmers and are highly vulnerable to climate change. Climate resilient agriculture and best management practices in farming are required in the region for sustainable agriculture [52,53]. Groundwater quality is very alarming in many areas of the Ananthapuramu district, and the situation might worsen due to changes in the precipitation pattern [54].…”

Section: Introductionmentioning

confidence: 99%

Long Term Homogeneity, Trend and Change-Point Analysis of Rainfall in the Arid District of Ananthapuramu, Andhra Pradesh State, India

Patakamuri¹,

Muthiah²,

Sridhar³

2019

Preprint

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Daily rainfall data was collected for the arid district of Ananthapuramu, Andhra Pradesh state, India from 1981 to 2016 at the sub-district level and aggregated to monthly, annual and seasonal rainfall totals and the number of rainy days. The objective of this study is to evaluate the homogeneity, trend, and trend change points in the rainfall data. After quality checks and homogeneity analysis, a total of 27 rain gauge locations were considered for trend analysis. A serial correlation test was applied to all the time series to identify serially independent series. Non-Parametric Mann-Kendall test and Spearman’s rank correlation tests were applied to serially independent series. The magnitude of the trend was calculated using Sen’s slope method. For the data influenced by serial correlation, various modified versions of Mann-Kendall tests (Pre-Whitening, Trend Free Pre-Whitening, Bias Corrected Pre-Whitening and two variants of Variance Correction Approaches) were applied. A significant increasing summer rainfall trend is observed in 6 out of 27 stations. Significant decreasing trends are observed at two stations in the south-west monsoon season and at two stations in the north-east monsoon season. To identify the trend change-points in the time series, distribution-free Cumulative SUM test and sequential Mann-Kendall tests were applied. Two open-source library packages were developed in R language namely, ‘modifiedmk’ and ‘trendchange’ to implement the statistical tests mentioned in this paper. The study will benefit water resource management, drought mitigation, socio-economic development and sustainable agricultural planning in the region.

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“…This district lies in the rain shadow area of the state and suffers from frequent droughts. It has only 11% of area under irrigation with groundnut occupying maximum area under rainfed condition accounting for over 75% of the cropped area [3].…”

Section: Introductionmentioning

confidence: 99%

A Study on Correlates of Profile Characteristics and Adoption Behaviour of Rythu Bharosa Kendra (RBK) Beneficiaries in Anantapur District, Andhra Pradesh

Anuhya

Kisku

Khare

2022

CJAST

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Rythu Bharosa Kendras (RBK) or Farmers Assurance Centres are the one-stop-shop for the farmers’ welfare introduced by the Andhra Pradesh government at every panchayat to cater for their needs at the grass-root level. These centres provide a range of services like e-Crop booking, Crop health monitoring, CMAPP, Polambadi (Farmers Field School) programmes, Product procurement, financial assistance, field assistance etc. The present study highlights the correlates of adoption behavior of RBK beneficiaries in the Ananthapur district of Andhra Pradesh. Simple random sampling method was used and a sample size of 90 was selected from 18 villages under 6 RBKs of two blocks. Descriptive research design was used for the purpose of the study. The findings specify that the variables viz., age, education, land holding, social participation, extension agency contact, mass media exposure, extension participation, economic motivation had a positive and significant relationship with the level of adoption. Occupation, family size, farming experience and annual income had non-significant relationship with adoption of technologies disseminated by RBKs.

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Improving the Productivity of Rainfed Farming Systems of Small and Marginal Farmers in Adilabad District, Telangana

Cited by 6 publications

References 1 publication

Long-Term Homogeneity, Trend, and Change-Point Analysis of Rainfall in the Arid District of Ananthapuramu, Andhra Pradesh State, India

Long-Term Homogeneity, Trend, and Change-Point Analysis of Rainfall in the Arid District of Ananthapuramu, Andhra Pradesh State, India

Long Term Homogeneity, Trend and Change-Point Analysis of Rainfall in the Arid District of Ananthapuramu, Andhra Pradesh State, India

A Study on Correlates of Profile Characteristics and Adoption Behaviour of Rythu Bharosa Kendra (RBK) Beneficiaries in Anantapur District, Andhra Pradesh

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