NDLI: From Observation to Information: Data-Driven Understanding of on Farm Yield Variation

Content Provider	PubMed Central
Author	Jiménez, Daniel Dorado, Hugo Cock, James Prager, Steven D. Sylvain, Delerce Grillon, Alexandre Bejarano, Mercedes Andrade Benavides, Hector Jarvis, Andy
Editor	Sainju, Upendra M.
Copyright Year	2016
Abstract	Agriculture research uses “recommendation domains” to develop and transfer crop management practices adapted to specific contexts. The scale of recommendation domains is large when compared to individual production sites and often encompasses less environmental variation than farmers manage. Farmers constantly observe crop response to management practices at a field scale. These observations are of little use for other farms if the site and the weather are not described. The value of information obtained from farmers’ experiences and controlled experiments is enhanced when the circumstances under which it was generated are characterized within the conceptual framework of a recommendation domain, this latter defined by Non-Controllable Factors (NCFs). Controllable Factors (CFs) refer to those which farmers manage. Using a combination of expert guidance and a multi-stage analytic process, we evaluated the interplay of CFs and NCFs on plantain productivity in farmers’ fields. Data were obtained from multiple sources, including farmers. Experts identified candidate variables likely to influence yields. The influence of the candidate variables on yields was tested through conditional forests analysis. Factor analysis then clustered harvests produced under similar NCFs, into Homologous Events (HEs). The relationship between NCFs, CFs and productivity in intercropped plantain were analyzed with mixed models. Inclusion of HEs increased the explanatory power of models. Low median yields in monocropping coupled with the occasional high yields within most HEs indicated that most of these farmers were not using practices that exploited the yield potential of those HEs. Varieties grown by farmers were associated with particular HEs. This indicates that farmers do adapt their management to the particular conditions of their HEs. Our observations confirm that the definition of HEs as recommendation domains at a small-scale is valid, and that the effectiveness of distinct management practices for specific micro-recommendation domains can be identified with the methodologies developed.
Related Links	http://dx.doi.org/10.1371/journal.pone.0150015
Starting Page	150015
File Format	PDF
ISSN	19326203
e-ISSN	19326203
Journal	PLoS ONE
Issue Number	3
Volume Number	11
Language	English
Publisher	Public Library of Science
Publisher Date	2016-03-01
Access Restriction	Open
Rights Holder	Public Library of Science
Subject Keyword	Biochemistry, Genetics and Molecular Biology(all) Agricultural and Biological Sciences(all) Medicine(all) Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Multidisciplinary

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Data-Driven Information Extraction from Chinese Electronic Medical Records

Optimality Driven Nearest Centroid Classification from Genomic Data

From Understanding to Appreciating Music Cross-Culturally

Data-Driven Method to Estimate Nonlinear Chemical Equivalence

Data-Driven Asthma Endotypes Defined from Blood Biomarker and Gene Expression Data

Correction: Data-Driven Method to Estimate Nonlinear Chemical Equivalence

Outcome-Driven Cluster Analysis with Application to Microarray Data

Understanding Human Mobility from Twitter

Mine, Yours, Ours? Sharing Data on Human Genetic Variation

From Observation to Information: Data-Driven Understanding of on Farm Yield Variation

Similar Documents

Data-Driven Information Extraction from Chinese Electronic Medical Records

Optimality Driven Nearest Centroid Classification from Genomic Data

From Understanding to Appreciating Music Cross-Culturally

Data-Driven Method to Estimate Nonlinear Chemical Equivalence

Data-Driven Asthma Endotypes Defined from Blood Biomarker and Gene Expression Data

Correction: Data-Driven Method to Estimate Nonlinear Chemical Equivalence

Outcome-Driven Cluster Analysis with Application to Microarray Data

Understanding Human Mobility from Twitter

Mine, Yours, Ours? Sharing Data on Human Genetic Variation

From Observation to Information: Data-Driven Understanding of on Farm Yield Variation