000096024 001__ 96024
000096024 005__ 20201029165924.0
000096024 0247_ $$2doi$$a10.3791/58524
000096024 0248_ $$2sideral$$a112484
000096024 037__ $$aART-2019-112484
000096024 041__ $$aeng
000096024 100__ $$aFadon, E.
000096024 245__ $$aCombining Histochemical Staining and Image Analysis to Quantify Starch in the Ovary Primordia of Sweet Cherry during Winter Dormancy
000096024 260__ $$c2019
000096024 5060_ $$aAccess copy available to the general public$$fUnrestricted
000096024 5203_ $$aChanges in starch in small structures are associated with key events during several plant developmental processes, including the reproductive phase from pollination to fertilization and the onset of fruiting. However, variations in starch during flower differentiation are not completely known, mainly due to the difficulty of quantifying the starch content in the particularly small structures of the flower primordia. Here, we describe a method for the quantification of starch in the ovary primordia of sweet cherry (Prunus avium L.) by using an image analysis system attached to the microscope, which allows relating the changes in starch content with the different phases of dormancy from autumn to spring. For this purpose, the dormancy status of flower buds is determined by evaluating the bud growth of shoots transferred to controlled conditions at different moments in winter time. For the quantification of starch in the ovary primordia, flower buds are sequentially collected, fixed, embedded in paraffin wax, sectioned, and stained with I2Kl (potassium iodide-iodine). Preparations are observed under the microscope and analyzed by an image analyzer that clearly distinguishes starch from the background. Starch content values are obtained by measuring the optical density of the image that corresponds to the stained starch, considering the sum of the optical density of each pixel as an estimation of the starch content of the frame studied.
000096024 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FSE/A12-17R$$9info:eu-repo/grantAgreement/ES/INIA/RFP2015-00015-00$$9info:eu-repo/grantAgreement/ES/INIA/RTA2014-00085-00$$9info:eu-repo/grantAgreement/ES/INIA/RTA2017-00003-00
000096024 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000096024 590__ $$a1.163$$b2019
000096024 591__ $$aMULTIDISCIPLINARY SCIENCES$$b45 / 71 = 0.634$$c2019$$dQ3$$eT2
000096024 592__ $$a0.57$$b2019
000096024 593__ $$aBiochemistry, Genetics and Molecular Biology (miscellaneous)$$c2019$$dQ2
000096024 593__ $$aChemical Engineering (miscellaneous)$$c2019$$dQ2
000096024 593__ $$aImmunology and Microbiology (miscellaneous)$$c2019$$dQ3
000096024 593__ $$aNeuroscience (miscellaneous)$$c2019$$dQ3
000096024 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000096024 700__ $$0(orcid)0000-0002-8321-1764$$aRodrigo, J.
000096024 773__ $$g145 (2019), e58524 [9 pp]$$pJ. vis. exp.$$tJournal of visualized experiments : JoVE$$x1940-087X
000096024 8564_ $$s420171$$uhttps://zaguan.unizar.es/record/96024/files/texto_completo.pdf$$yVersión publicada
000096024 8564_ $$s571697$$uhttps://zaguan.unizar.es/record/96024/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000096024 909CO $$ooai:zaguan.unizar.es:96024$$particulos$$pdriver
000096024 951__ $$a2020-10-29-14:06:31
000096024 980__ $$aARTICLE