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D. Scott NeSmith

analyses were done simply to provide an overall view of the trend of response to CPPU application timing treatments. Collectively, the data suggest an optimum window of application of CPPU to rabbiteye blueberries is between 7 and 21 DAF with the most

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Wesseh J. Wollo

A market window technique was used to evaluate the market potential for sweetpotato [Ipomoea batatas (L.) Lam.] production in southeastern Missouri. Weekly prices were averaged over 5 years in real terms and were used to identify market windows in St. Louis and Chicago. The results indicate that sweetpotatoes may be a profitable production alternative in southeastern Missouri.

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Dilma Daniela Silva and Richard C. Beeson Jr.

facilities described by Karnok and Kucharski (1982) , Soileau et al. (1974) , and Taylor and Bohm (1976) consisted of underground laboratories with transparent windows. Root observation windows installed in native soil ( Gallandt et al., 1990 ; McDougall

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Douglas A. Hopper

One should choose the simplest form of a model as a tool that adequately represents the processes and relationships of interest. ROSESIM was first developed in SLAM II and FORTRAN to run on a mainframe computer, where it had few users and it was cumbersome to learn and use. As use of models on a personal computer (PC) has become more popular for instruction and simulation, ROSESIM was translated first into the American Standard Code for Information Interchange (ASCII) to run in the Beginner's All-purpose Symbolic Instruction Code (BASIC) language in the popular Microsoft Disk Operating System (MS-DOS). As graphical user interface (GUI) Windows applications have gained increased popularity, ROSESIM has been translated into C++ as object-oriented programming (OOP) to run inside Microsoft Windows 3.1. This makes ROSESIM for Windows readily available to virtually every PC user. Features of ROSESIM for Windows are listed and discussed.

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C.K. Palmer, C.H. Gilliam, G.J. Keever, J.W. Olive, and D.J. Eakes

Pampas grass seedlings in 72-cell pack containers were transplanted into containers with a root observation window (17.8 × 10.2 cm) and treated with selected preemergence applied herbicides. Root numbers were counted in the upper and lower 8.9 cm of the viewing window until 16 days after treatment (DAT) when the windows became full of roots. Root growth in both the upper and lower window was suppressed with application of Factor 65 WG and Pendulum 60 WDG at the X and 2X rates at 16 DAT. Ronstar 2G and Pendulum 2G at the recommended rates and nontreated control plants had similar root numbers at 16 DAT. At 16 DAT, the greatest number of club roots formed on plants treated with the dinitroaniline herbicides; Pendulum 2G, Pendulum 60 WDG, and Factor 65 WG. Shoot growth was not affected by treatment.

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Brian A. Kahn and Lynn P. Brandenberger

were similar with the 23 July and 2 Aug. planting dates ( Tables 4 and 5 ). These two planting dates delineated a “window” for good production of marketable ears. Marketable ear quality remained high with the 12 Aug. planting date, but production

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John Masiunas

W eeds of the U nited S tates and C anada . 1998. Southern Weed Science Society, 1508 West University Ave., Champaign, IL 61821-3313. $120, CD-ROM for Windows 95, Windows 98, and Windows NT or higher.

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Daniel L. Schellenberg, Anthony D. Bratsch, and Zhengxing Shen

In Virginia, past research has identified an open-market window for fall broccoli ( Sterrett et al., 1990 ). Because earlier studies demonstrated the feasibility of multicropping broccoli on plastic mulches ( Burnette et al., 1993 ; Clough et al

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Ayoub Fathi-Najafabadi, Cristina Besada, Rebeca Gil, and Alejandra Salvador

sensitive to low temperatures. Conclusion In the present work, the harvest window of the six studied cultivars grown under Mediterranean conditions differed for most of them from that reported for Japanese conditions. This was true of ‘Kanshu’ and ‘Shinshu

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Cristian E. Loyola, John M. Dole, and Rebecca Dunning

times the ranking was recorded for each production issue (n = 128). Crop timing was the second most important production problem ( Fig. 3 ). Timing problems included determining the correct harvest stage, harvest windows that were too short, flowering