1,951 research outputs found

    Circular 22

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    Alaska 114 was formally released to the Alaska Certified Seed G rowers Association in 1954 although it had been field tested by a few members during the preceding year. The selection was made from seedlings derived from a cross of Cobbler x Minnesota 13-1.Cooperating with the Agricultural Research Service, U.S. Department of Agricultur

    Circular 18

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    Weed control studies at the Matanuska Experiment Station during the past two seasons have shown that many garden and field crops can be weeded satisfactorily with chemioals. Killing weeds with chemicals promises many benefits to the Alaskan farmer and gardener. Chemical weed: killing is cheap and effective—more important this practice helps reduce the seasonal peak labor loads encountered in truck growing enterprises. This circular tells what the Alaska farmer and gardener can expect weed killers to do for him under Alaskan conditions.Cooperating with the United States Department of Agriculture, Agricultural Research Administratio

    Chemical Sprout Control of Alaska Potatoes.

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    POTATOES sprout in 11 to 15 weeks after harvest if placed in storage where 'temperatures average 40° F or above. Prior to this, growth regulating substances within the tubers prevent sprouting. If potatoes are stored at room temperature (70° F or higher) their dormant period will be shorter, although differences in varieties are observed. Varieties also differ in habit of sprout growth*. Some develop long sprouts that are relatively easy to remove. Even so, a new crop of sprouts will grow again from the same eyes if storage temperatures remain above 40oF for ten days or more. In addition to the expense of desprouting, potatoes lose weight and their market appeal. Potatoes can be and are stored at 30° to 36° for nearly a year with very little sprouting. Cold storage at this temperature range has some disadvantages. For example, starches are converted to sugar within the tubers. These sugars give cooked potatoes a sweet taste objectionable to some people. Potatoes with a high sugar content are not suitable for chipping and french frying. Sometimes they can be reconditioned by storing at 60° to 70° for a month or more but this warmer environment starts sprouting. Potatoes sprouting extensively in bins (as illustrated in Figure 1) cannot be ventilated properly because sprouts fill the air spaces between tubers. Lack of air movement through the bin causes a low oxygen supply and black heart or b1ack patches soon appear within tubers (Figure 2). Sprouting is costly to Alaskans in that it reduces the number of potatoes meeting U.S. No. 1 grade and therefore reduces farm income.Sprouting is costly to Alaskan's potato industry because it weakens Alaska's competitive position for summer markets. Summer im}:orts of dormant potatoes often capture a large segment of the Alaskan potato market. When these studies were begun, workers in other regions (2, 4, 5, 9) had demonstrated several methods of chemical sprout control. These methods included field spraying of tops, dusfng or dipping of tubers moving into storage, and gas treatment with volatile substances distributed within binned potatoes. Chemicals that had given the best control were methyl ester of naphthaleneacetic acid (MENA), indoleacetic acid (IA), maleic hydrazide (MH) and isopropyl N-(3 chlorophenyl) carbamate (CIPC). In other states MH has become so popular that it has been recently sprayed from an airplane ( 1) and CIPC has been released as an aerosol or vapor (6) within the storage. Some evidence has been presented (3) showing that healing of tender skins and healing of tuber bruises is delayed by sprout inhibitors. Unwashed potatoes frequently carry enough mud or wet soil into storage to inhibit good air movement through the bin. While washing prior to storage eliminates this particular problem, little is known about the storage characteristics of washed treated tubers (10). The objectives of these sh1dies were to learn (1) if sprout inhibitor chemicals used in other regions also inhibit Sf)routing of potatoes grown in Alaska's environment, (2) what effect snrout inhibitors have on yield and quality, (3) when and at what rate the chemical should be applied, (4) how sprout inhibitor treated potatoes store at different temperatures, (5) if washing fieldtreated potatoes prior to storage influences keeping ability or modifies sprout inhibitor action

    Marine Flora and Fauna of the Northeastern United States Echinodermata: Crinoidea

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    The crinoid fauna of the continental margin (0-1500 m) of northeastern North America (Georgia to Canada) includes 14 species in 13 genera and 5 families. We introduce the external morphology and natural history of crinoids and include a glossary of terms, an illustrated key to local taxa, annotated systematic list, and an index. The fauna includes 2 species found no further south than New England and 8 that occur no further north than the Carolinas and Blake Plateau. Comactinia meridionalis (Agassiz) is the only species commonly found in shallow water «50 m). No taxa are endemic to the area. (PDF file contains 34 pages.

    Galactic Evolution Of D And 3He Including Stellar Production Of 3He

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    New stellar models which track the production and destruction of 3^3He (and D) have been evolved for a range of stellar masses (0.65≀M/M⊙≀100)(0.65\leq M/M_{\odot}\leq 100), metallicities (0.01≀Z/Z⊙≀1)(0.01 \leq Z/Z_{\odot} \leq 1) and initial (main sequence) 3^3He mass fractions (10−5≀X3,MS≀10−3)(10^{-5} \leq X_{3,MS} \leq 10^{-3}). Armed with the 3^3He yields from these stellar models we have followed the evolution of D and 3^3He using a variety of chemical evolution models with and without infall of primordial or processed material. Production of new 3^3He by the lower mass stars overwhelms any reasonable primordial contributions and leads to predicted abundances in the presolar nebula and/or the present interstellar medium in excess of the observationally inferred values. This result, which obtains even for zero primordial D and 3^3He, and was anticipated by Rood, Steigman \& Tinsley (1976), is insensitive to the choice of chemical evolution model; it is driven by the large 3^3He yields from low mass stars. In an attempt to ameliorate this problem we have considered a number of non-standard models in which the yields from low mass stars have been modified. Although several of these non-standard models may be consistent with the 3^3He data, they may be inconsistent with observations of 12^{12}C/13^{13}C, 18^{18}O and, most seriously, the super-3^3He rich planetary nebulae (Rood, Bania \& Wilson 1992). Even using the most extreme of these non-standard models (Hogan 1995), we obtain a generous upper bound to pre-galactic 3^3He: X3P≀3.2×10−5_{3P} \leq 3.2 \times10^{-5} which, nonetheless, leads to a stringent lower bound to the universal density of nucleons.Comment: 21 pages, plus 10 figures, accepted by Ap

    In America

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    Bridge over the River Why: The Imagination as a Way to Meaning

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    Purdue Data Orientation Checklist: An Archival Approach for Data Users

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    The Data Orientation Checklist is intended to help a data user navigate an unfamiliar dataset, research material or digital collection. Whether joining a new research lab or downloading data from a public repository, navigating new data can be confusing and frustrating. This checklist was developed from the perspective of an archivist working with research data and borrows best practices from archival processing and research. Archivists at Purdue University Libraries have been working with data curation initiatives since the mid-2000s. Early in the Libraries’ work with managing research data, Dean of Libraries James Mullins saw the value of archivists’ knowledge in areas such as raw “data” collection, sensitive or personal information management, and defining user groups. Mullins brought the University Archivist onto the Steering Committee for the Purdue University Research Repository (PURR) in 2011 and today archivists continue to collaborate with data librarians and faculty researchers on managing, curating, and preserving research data. This checklist was created in 2016 for use in the Purdue G.R.I.P (Graduate Research Information Portal) course Data Management IV, instructed by Carly Dearborn and Megan Sapp Nelson

    Collaboration & Innovation: Preserving Complex Digital Objects

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    Purdue University Libraries and School of Information Studies, like many other libraries and archives, collects, preserves, and provides access to dissertations as original works of student scholarship in conjunction with degrees awarded by the University. The processes of collecting and preserving student scholarship becomes difficult as new ETD models and formats force existing workflows and platforms to adapt. This talk will identify emerging preservation and long-term access challenges associated with new forms of scholarship and will borrow from the digital preservation field to identify innovative and collaborative approaches for addressing these challenges

    Purdue Data Reuse Checklist: An Archival Approach for Data Producers

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    The Data Reuse Checklist is intended to help a data producer verify their research data is well-described and read for reuse by a third party. It was developed from the perspective of an archivist working with research data and borrows best practices from archival processing and research. Archivists at Purdue University Libraries have been working with data curation initiatives since the mid-2000s. Early in the Libraries’ work with managing research data, Dean of Libraries James Mullins saw the value of archivists’ knowledge in areas such as raw “data” collection, sensitive or personal information management, and defining user groups. Mullins brought the University Archivist onto the Steering Committee for the Purdue University Research Repository (PURR) in 2011 and today archivists continue to collaborate with data librarians and faculty researchers on managing, curating, and preserving research data. This checklist was created in 2016 for use in the Purdue G.R.I.P (Graduate Research Information Portal) course Data Management IV, instructed by Carly Dearborn and Megan Sapp Nelson
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