<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"><identifier identifierType="DOI">10.7910/DVN/UKJCFT</identifier><creators><creator><creatorName nameType="Personal">Fraval, Simon</creatorName><givenName>Simon</givenName><familyName>Fraval</familyName></creator><creator><creatorName nameType="Personal">Mutua, John</creatorName><givenName>John</givenName><familyName>Mutua</familyName><nameIdentifier SchemeURI="https://orcid.org/" nameIdentifierScheme="ORCID">0000-0003-2314-3146</nameIdentifier><affiliation>International Center for Tropical Agriculture - CIAT</affiliation></creator><creator><creatorName nameType="Personal">Notenbaert, An</creatorName><givenName>An</givenName><familyName>Notenbaert</familyName><nameIdentifier SchemeURI="https://orcid.org/" nameIdentifierScheme="ORCID">0000-0002-6266-2240</nameIdentifier><affiliation>International Center for Tropical Agriculture (CIAT)</affiliation></creator><creator><creatorName nameType="Personal">Thornton, Philip</creatorName><givenName>Philip</givenName><familyName>Thornton</familyName><affiliation>International Livestock Research Institute (ILRI)</affiliation></creator><creator><creatorName nameType="Personal">Duncan, Alan</creatorName><givenName>Alan</givenName><familyName>Duncan</familyName><affiliation>International Livestock Research Institute (ILRI); University of Edinburgh</affiliation></creator></creators><titles><title>Dry matter production mean, dry matter production coefficient of variation, proportion of dry matter from crops</title></titles><publisher>Harvard Dataverse</publisher><publicationYear>2020</publicationYear><subjects><subject>Agricultural Sciences</subject><subject>Earth and Environmental Sciences</subject><subject schemeURI="http://aims.fao.org/aos/agrovoc/c_926" subjectScheme="AGROVOC">Biomass</subject><subject schemeURI="http://aims.fao.org/aos/agrovoc/c_36108" subjectScheme="AGROVOC">Forage</subject><subject schemeURI="http://aims.fao.org/aos/agrovoc/c_2832" subjectScheme="AGROVOC">Feed grasses</subject><subject schemeURI="http://aims.fao.org/aos/agrovoc/c_2829" subjectScheme="AGROVOC">Feed crops</subject><subject subjectScheme="Research Region">Africa</subject><subject subjectScheme="Research Lever">Multifunctional Landscapes</subject><subject subjectScheme="Research Lever">Crops for Nutrition and Health</subject><subject schemeURI="http://aims.fao.org/aos/agrovoc/c_4397" subjectScheme="AGROVOC">Livestock</subject></subjects><contributors><contributor contributorType="ContactPerson"><contributorName nameType="Organizational">Alliance Data Management</contributorName><affiliation>Alliance of Bioversity International and CIAT</affiliation></contributor><contributor contributorType="Producer"><contributorName nameType="Organizational">International Center for Tropical Agriculture</contributorName></contributor><contributor contributorType="Producer"><contributorName nameType="Organizational">International Livestock Research Institute</contributorName></contributor><contributor contributorType="Producer"><contributorName nameType="Organizational">University of Edinburgh</contributorName></contributor></contributors><dates><date dateType="Created">2019-12-20</date><date dateType="Submitted">2020-01-29</date><date dateType="Updated">2023-03-09</date></dates><resourceType resourceTypeGeneral="Dataset">Geospatial Data</resourceType><sizes><size>62403228</size><size>115794509</size><size>119200035</size></sizes><formats><format>image/tiff</format><format>image/tiff</format><format>image/tiff</format></formats><version>1.2</version><rightsList><rights rightsURI="info:eu-repo/semantics/openAccess"/><rights/></rightsList><descriptions><description descriptionType="Abstract">The Techfit tool provides a means to identify suitable feed technologies to address four key constraints: dry season feed availability, growing season feed availability, feed quantity and feed quality. It is difficult to monitor animal feed availability and quality directly, this is because biomass is not necessarily utilized on the day of growth and deficits can be supplemented with imports from other locations. Instead of monitoring feed availability and quality directly, we estimate proxies, including: length of cropping period (LCP), total annual animal feed production, coefficient of variation of feed production and the proportion of crop residues. Remotely sensed and other spatially representative data provide a basis for generating these proxies.</description></descriptions><geoLocations/></resource>