Lint

Abstract: Upland cotton (Gossypium hirsutum) is the most important natural fiber crop in the world. The overall genetic diversity among cultivated species of cotton and the genetic changes that occurred during their improvement are poorly understood. Here we report a comprehensive genomic assessment of modern improved upland cotton based on the genome-wide resequencing of 318 landraces and modern improved cultivars or lines. We detected more associated loci for lint yield than for fiber quality, which suggests that lint yield has stronger selection signatures than other traits. We found that two ethylene-pathway-related genes were associated with increased lint yield in improved cultivars. We evaluated the population frequency of each elite allele in historically released cultivar groups and found that 54.8% of the elite genome-wide association study (GWAS) alleles detected were transferred from three founder landraces: Deltapine 15, Stoneville 2B and Uganda Mian. Our results provide a genomic basis for improving cotton cultivars and for further evolutionary analysis of polyploid crops.

Abstract: Lint is a command which examines C source programs, detecting a number of bugs and obscurities. It enforces the type rules of C more strictly than the C com- pilers. It may also be used to enforce a number of portability restrictions involved in moving programs between different machines and/or operating systems. Another option detects a number of wasteful, or error prone, constructions which nevertheless are, strictly speaking, legal. Lint accepts multiple input files and library specifications, and checks them for consistency. The separation of function between lint and the C compilers has both historical and practical rationale. The compilers turn C programs into executable files rapidly and efficiently. This is possible in part because the compilers do not do sophisticated type checking, especially between separately compiled programs. Lint takes a more global, leisurely view of the program, looking much more carefully at the compatibili- ties. This document discusses the use of lint , gives an overview of the implementa- tion, and gives some hints on the writing of machine independent C code.

Abstract: Understanding how moisture deficit stress alters cotton (Gossypium hirsutum L.) reproductive growth and yield component development would provide insight into the current yield stagnation problem plaguing U.S. cotton producers. Objectives were to document the effects of moisture deficit stress on reproductive growth, lint yield, yield components, boll distribution, and fiber quality. Meld studies were conducted from 1998 through 2001 utilizing eight diverse genotypes, which were grown under both dryland and irrigated conditions. Weekly white bloom counts, nodes above white bloom, lint yield, yield components, end-of-season plant mapping, and fiber quality data were collected. Genotypes responded similarly to the two soil moisture regimes for all of the parameters evaluated. Irrigation delayed cutout, the slowing of vegetative growth due to strong reproductive demand for assimilate, an average of 6 d. This delayed maturity enabled those plants to sustain flowering later in the growing season compared with dryland plants. During the years when sufficient moisture deficits occurred, the lint yield of dryland plants was reduced 25%, primarily because of a 19% reduction in number of bolls. Irrigated plants produced more bolls at higher plant nodes (>Node 10) and at the more distal positions (≥2) on the sympodial branches than did the dryland plants. Irrigation did not affect most fiber traits, but 3 out of 4 yr of irrigation produced approximately 2% longer fiber. Production of more bolls higher up the plant and further out the fruiting branch with irrigation indicates that these areas on the plant are where high yields need to be stabilized.