Climate change effects on Chickpea yield and its variability in Andhra Pradesh, India

Simple item page
cg.authorship.typesCGIAR and developing country instituteen
cg.contributor.affiliationAcharya N.G. Ranga Agricultural Universityen
cg.contributor.affiliationProfessor Jayashankar Telangana State Agricultural Universityen
cg.contributor.affiliationInternational Food Policy Research Instituteen
cg.contributor.donorCGIAR Trust Funden
cg.contributor.initiativeDigital Innovation
cg.coverage.countryIndia
cg.coverage.iso3166-alpha2IN
cg.coverage.regionSouthern Asia
cg.creator.identifierSuresh Chandra Babu: 0000-0002-8706-2516
cg.howPublishedFormally Publisheden
cg.identifier.doihttps://doi.org/10.31018/jans.v15i1.4102en
cg.identifier.projectIFPRI - Development Strategies and Governance Unit
cg.identifier.projectIFPRI - Systems Transformation - Transformation Strategies
cg.identifier.publicationRankNot ranked
cg.issn0974-9411en
cg.issue1en
cg.journalJournal of Applied and Natural Scienceen
cg.number15(1)en
cg.reviewStatusInternal Reviewen
cg.subject.actionAreaSystems Transformation
cg.subject.impactAreaPoverty reduction, livelihoods and jobs
cg.subject.impactPlatformPoverty Reduction, Livelihoods and Jobs
cg.volume15en
dc.contributor.authorKumar, K. Nirmal Ravien
dc.contributor.authorReddy, M. Jagan Mohanen
dc.contributor.authorBabu, Suresh Chandraen
dc.date.accessioned2023-12-05T18:27:58Zen
dc.date.available2023-12-05T18:27:58Zen
dc.identifier.urihttps://hdl.handle.net/10568/135047
dc.titleClimate change effects on Chickpea yield and its variability in Andhra Pradesh, Indiaen
dcterms.abstractFarmers usually do not know the precise output that is affected by climatic factors such as temperature and rainfall and are characterized by inter-annual variability, part of which is caused by global climate change. No study covers the influences of climate factors on yield and yield risk in the context of chickpea farming in Andhra Pradesh, India. In this context, this study aimed to investigate the trends in climate change variables during Rabi season (October to January, 1996-2020) and evaluated their variability on chickpea yields across different agro-climatic zones in Andhra Pradesh by employing Just and Pope production function. Four non-parametric methods-Alexandersson’s Standard Normal Homogeneity Test, Buishand’s Range Test, Pettitt’s Test and Von Neumann’s Ratio Test are applied to detect homogeneity in the data. Mann–Kendall (MK) test and Sen’s slope (SS) method were employed to analyze monthly rainfall trends and minimum and maximum temperature trends. Results of Just and Pope (panel data) quadratic and Cobb-Douglas methods revealed that monthly minimum temperature positively influenced the mean yield of chickpea (0.22% and 0.16%, respectively). However, rainfall (-0.41% and -0.31%) and maximum temperature (-0.08% and -0.04%) negatively influenced the mean yield of chickpea under quadratic and Cobb-Douglas models, respectively. Accordingly, rainfall (0.08% and 0.06%) and maximum temperature (0.83% and 0.72%) positively influenced the yield variability and minimum temperature (-0.77% and -0.67%) reduced yield variability of chickpea under quadratic and Cobb-Douglas models respectively. In view of these findings, it is imperative to advocate the farmers about the importance of cultivating drought-tolerant chickpea varieties, drought-proofing and mitigation strategies, micro-irrigation practices and improving their access to agro-meteorological information towards sustainable chickpea cultivation in Andhra Pradesh.en
dcterms.accessRightsOpen Access
dcterms.audienceAcademicsen
dcterms.audienceDevelopment Practitionersen
dcterms.available2023-03-19
dcterms.bibliographicCitationKumar, K. Nirmal Ravi; Reddy, M. Jagan Mohan; and Babu, Suresh Chandra. 2023. Climate change effects on chickpea yield and its variability in Andhra Pradesh, India. Journal of Applied and Natural Science 15(1): 178 -193. https://doi.org/10.31018/jans.v15i1.4102en
dcterms.extent178 -193en
dcterms.isPartOfJournal of Applied and Natural Scienceen
dcterms.issued2023
dcterms.languageen
dcterms.licenseCC-BY-NC-4.0
dcterms.publisherANSF Publicationsen
dcterms.replaceshttps://ebrary.ifpri.org/digital/collection/p15738coll5/id/8956en
dcterms.subjectchickpeasen
dcterms.subjectclimate changeen
dcterms.subjectcrop yielden
dcterms.subjectrainfallen
dcterms.subjectrainfall patternsen
dcterms.subjectresearchen
dcterms.typeJournal Article

Files

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

CGIAR Initiative on Digital Innovation
IFPRI Journal Articles