Browsing by Subject "Dry farming"
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Item Microclimate of dryland cotton production systems(Texas Tech University, 2002-08) Duesterhaus, Jamey LSolid and skip row planted cotton are two main cropping systems used on the High Plains of Texas. This study was conducted to determine if there was a measurable difference in energy balance (EB) between the systems, and if that difference leads to a difference in yield. The Eddy Correlation (EC) method was used to measure the terms in the EB. The Campbell Scientific CS 7500 was the EC system used to measure the fluxes associated with each term in the EB. Water use efficiency, on carbon assimilation basis, calculated for both area and yield was also used to compare each cropping system. In the 2001 growing season, no differences were measured in the EB or WUE per area. The skip row crop out yielded the solid crop; therefore the skip row crop was better at partitioning carbon for seed and fiber production. The WUE of the skip row cropping system, on a yield basis, was better than the solid cropping system. If this one-year study is representative of a typical growing season, farmers on the Texas High Plains should use the skip row pattern over the solid.Item Relationships between rainfall, temperature, and dryland cotton production(Texas Tech University, 1997-08) Miller, Joel K.A 25-year database including daily temperatures and precipitation is analyzed for distributions, variations, trends and predictability for 17 counties on the Southern High Plains (SHP). Both minimum and maximum temperatures increase from north to south. However, diurnal temperature spread is distributed in a distinctly west to east fashion: a greater spread is noted in the west than in the eastern counties. In this region of interest, precipitation in terms of volume exhibits uniformity within the central and Southern counties. In the northern counties precipitation increases from west to east. As expected with a data set of this size, no precipitation or temperature trends are noted. A logarithmic distribution is shown to provide a primitive fit to wet-day and dry-day spells. Finally, Markov chain and gamma distribution models are used to describe and predict regional precipitation.Item Weed management with the computer-based Herbicide Application Decision Support System (HADSS) program(Texas Tech University, 2001-05) Lyon, Leanna L.Field experiments were initiated in 1999 and continued in 2000 to evaluate the Cotton Herbicide Application Decision Support System (HADSS®) program in Texas Southern High Plains cotton production. Weed management systems in the irrigated experiment were evaluated in a natural infestation of Palmer amaranth (Amaranthus palmeri S. Wats) and devil's-claw [Proboscidea louisianica (Mill.) Thellung], while the dryland experiment had Palmer amaranth, devil's-claw, and silverieaf nightshade {Solanum elaeagnifolium Cav.). Weed management systems evaluated were: (1) a preplant incorporated (PPI herbicide followed by (fb) postemergence HADSS® recommendations (PPI fb POST HADSS®); (2) postemergence HADSS® recommendations alone (POST HADSS®); and (3) Texas Agricultural Experiment Station (TAES) recommendations for the Texas Southern High Plains. All weed management systems were evaluated in glyphosate [A/-(phosphonomethyl) lycine]-tolerant, bromoxynil 3,5-dibromo-4-hydroxybenzonitrile)-tolerant, and conventional cotton varieties and each system was compared to an untreated and weed-free check in each variety. Weed control was evaluated approximately two weeks after each treatment and at harvest and cotton lint yields and net returns over weed control costs were determined for each weed management system.