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ARS Home » Southeast Area » Mississippi State, Mississippi » Crop Science Research Laboratory » Genetics and Sustainable Agriculture Research » Research » Publications at this Location » Publication #143439
Title: WITHIN BOLL YIELD COMPONENTS OF SIX CULTIVARS OF COTTON AND THEIR F1 AND F2 PROGENY

Author
item COLE, CLAY - MISS STATE UNIVERSITY
item Jenkins, Johnie
item McCarty, Jack

Submitted to: National Cotton Council Beltwide Cotton Conference
Publication Type: Abstract Only
Publication Acceptance Date: 1/6/2003
Publication Date: 6/1/2003
Citation: COLE, C.B., JENKINS, J.N., MCCARTY JR, J.C. WITHIN BOLL YIELD COMPONENTS OF SIX CULTIVARS OF COTTON AND THEIR F1 AND F2 PROGENY. CD-ROM. Proceedings Beltwide Cotton Conference. 2003. p. 824

Interpretive Summary:

Technical Abstract: Six cultivars of cotton, DP5415, SG501, ST474, FM832, T2356, and T237, were crosses in a diallel breeding scheme in 2000 and a half diallel in 2001. The F1 and F2 generations were evaluated in 2001. One hundred well developed first position bolls were hand harvested with the carpel walls intact. The locks from each boll were measured individually for number of seed and seed cotton weight. Samples were ginned after which seed and lint weights were recorded. Lint samples of 15 g were extracted from each sample and sent to Star Lab in Knoxville, TN, for HVI measurements. All data were subjected to GLM utilizing SAS 8.0. General and specific combining ability (GCA & SCA) were determined for various within boll components. The components consisted of seeds per boll (S/B), boll size (BS), lint percent (LP), lint weight per seed (LWt/S), length (LEN), strength (STR), micronaire (Mic), seed surface area (SSA), fibers per surface area (F/SSA) and yield. Both GCA and SCA were significant for all traits excluding yield. Variation in yield can not be significantly explained by additive genetic effects (GCA). All crosses observed revealed that yield is not composed of, or governed by, just one of the most basic boll components. The most basic yield components can be manipulated, and maintained, utilizing additive genetic effects (GCA). Yield components can also be manipulated and utilized in the F1 population utilizing epistatic genetic effects (SCA). Holding all other components constant, manipulation of one basic yield component can increase yield.