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Estimation of genetic parameters in several switchgrass (Panicum virgatum L.) populations

Posted on:2006-12-22Degree:Ph.DType:Dissertation
University:Oklahoma State UniversityCandidate:Rose, Louis Walker, IVFull Text:PDF
GTID:1453390008962512Subject:Agriculture
Abstract/Summary:
Scope and method of study. The objectives of this study were to determine: (1) the effects of high- and low-biomass yield environments on plant selection in breeding switchgrass for enhanced biomass yield using recurrent selection, and (2) genetic variances, narrow-sense heritability (h2n), and predicted genetic gain (DeltaG) from selection procedures for increased biomass yield in two populations (SL 93 & NL 94) of lowland ecotype switchgrass and two populations (SNU-EM & SNU-LM) of upland ecotype switchgrass. For objective 1, Co parent plants were selected for biomass yield based on performance of their half-sib (HS) progeny evaluated under high- and low-yield environments for 1 year. Yield performance of C1 HS families was assessed under both high-and low-biomass yield environments for 3 years. For objective 2, HS families and their clonal parent plants for the respective populations were evaluated in replicated field tests over 2 to 3 years. Genetic variance components for biomass yield were estimated for the respective populations and narrow-sense heritability (h2n) estimates were derived using variance component estimates and by progeny-parent regression.; Findings and conclusions. The results suggested that breeding gains may be higher when parent plant selection is based on HS progeny performance under a low yield environment. Significant magnitudes of genetic variation for biomass yield were found in the SL 93 and NL 94 populations, but not in the SNU-EM and SNU-LM populations. The h2 n estimates varied in magnitude with population and method of calculation. Positive response to selection for higher biomass production was indicated in the NL 93 and NIL 94 populations based on estimated magnitudes of genetic variation and h2n. Low amounts of genetic variation for biomass yield in the SNU-EM and SNU-LM populations predicted low, or no, response to selection, although some estimates of the additive genetic component of the available variation were of moderate to high magnitudes.
Keywords/Search Tags:Genetic, Populations, Biomass, Switchgrass, Selection, Variation, Estimates
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