Thursday, August 07, 2008
Gardening in July
The garden is full of weeds, but we have had buckets of beets, beans, carrots, tomatoes, and the pumpkins are basketball sized. We have been invaded by squash bugs and borers though. We had to spray because almost every plant had egg masses. We lost some sections of the patch, but they seem to be recovering somewhat. Next year we will have to try something to get rid of them or avoid them early. Any ideas? Has anyone heard anything about how to get rid of squash bugs?
Tuesday, August 05, 2008
My paper is in press
Applying quantile regression to analysis of AFIS cotton fiber distribution
by
Brian W. Gardunia, Chris Braden, Eric Hequet, and C. Wayne Smith
Varying fiber length distributions of cotton, Gossypium hirsutum L., impacts its spinning performance. Advanced Fiber Information System (AFIS) facilitates the analysis of the length distribution of individual fibers in cotton. Quantile regression is a variant of standard regression with which conditional quantile values can be calculated by minimizing weighted sums of absolute deviations across the entire distribution. Quantile regression was used to analyze AFIS fiber length distribution among five genotypes of upland cotton grown at the Texas Agricultural Experiment Station Research Farm near College Station, TX during 2001 and 2002. The shape of the distribution of ‘CAMD-E’, a short-staple variety, was actually similar to ‘Acala 1517-99’, a long staple variety with good spinning quality, even though CAMD-E had consistently lower fiber lengths. ‘FM 832’, and ‘TAM 94L-25’ had similar mean fiber lengths to Acala 1517-99, but their distribution shape was less skewed. ‘TTU 202’ had high cross entropy values, but little difference was detected in distribution shape by quantile regression. Year had a significant impact on distribution of fiber lengths, affecting distribution scale and location, which may be due to lower fiber fineness and maturity in 2001. Quantile regression was found to be an effective method for analyzing AFIS fiber length distributions, although further testing with a larger set of genotypes and environments with spinning data is needed.
Abbreviations: AFIS, Advanced Fiber Information System • HVI, high volume instruments • IFC, immature fiber content • Ln, length by number • Lw, length by weight • MAT, fiber maturity • UQLw, upper quartile length by weight
http://crop.scijournals.org/cgi/content/abstract/48/4/1328
by
Brian W. Gardunia, Chris Braden, Eric Hequet, and C. Wayne Smith
Varying fiber length distributions of cotton, Gossypium hirsutum L., impacts its spinning performance. Advanced Fiber Information System (AFIS) facilitates the analysis of the length distribution of individual fibers in cotton. Quantile regression is a variant of standard regression with which conditional quantile values can be calculated by minimizing weighted sums of absolute deviations across the entire distribution. Quantile regression was used to analyze AFIS fiber length distribution among five genotypes of upland cotton grown at the Texas Agricultural Experiment Station Research Farm near College Station, TX during 2001 and 2002. The shape of the distribution of ‘CAMD-E’, a short-staple variety, was actually similar to ‘Acala 1517-99’, a long staple variety with good spinning quality, even though CAMD-E had consistently lower fiber lengths. ‘FM 832’, and ‘TAM 94L-25’ had similar mean fiber lengths to Acala 1517-99, but their distribution shape was less skewed. ‘TTU 202’ had high cross entropy values, but little difference was detected in distribution shape by quantile regression. Year had a significant impact on distribution of fiber lengths, affecting distribution scale and location, which may be due to lower fiber fineness and maturity in 2001. Quantile regression was found to be an effective method for analyzing AFIS fiber length distributions, although further testing with a larger set of genotypes and environments with spinning data is needed.
Abbreviations: AFIS, Advanced Fiber Information System • HVI, high volume instruments • IFC, immature fiber content • Ln, length by number • Lw, length by weight • MAT, fiber maturity • UQLw, upper quartile length by weight
http://crop.scijournals.org/cgi/content/abstract/48/4/1328
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