Effects of high- vs. low-yield environments on selection for increased biomass yield in switchgrass

Rose, Louis W.; Das, Mita; Fuentes, Roger G.; Taliaferro, C. M.

doi:10.1007/s10681-007-9390-x

Cited by 23 publications

(28 citation statements)

References 16 publications

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“…This was also observed for switchgrass selections created in Nebraska and evaluated in Iowa and Indiana, with positive selection responses observed at locations with different environmental conditions compared to the selection location [7]. Similarly, selections for high biomass yield in a low-productivity environment were consistently higher in biomass yield to selections made in a high-productivity environment regardless of where they were grown [15].…”

Section: Resultssupporting

confidence: 54%

“…Production costs may decrease as switchgrass growers gain experience, but increasing biomass yield is the most effective mechanism of decreasing cost per unit of biomass produced [14]. Biomass yield is a heritable trait in switchgrass and improvements can be made by phenotypic selection of individual plants with high yield potential [7,12,15].…”

Section: Introductionmentioning

confidence: 99%

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Changes in Mean and Genetic Variance During Two Cycles of Within-family Selection in Switchgrass

Casler

2010

Bioenerg. Res.

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Switchgrass (Panicum virgatum L.) is a candidate for cellulosic bioenergy feedstock development. Because biomass yield is the most important biological factor limiting the commercial development and deployment of switchgrass as a cellulosic bioenergy feedstock efforts must be undertaken to develop improved cultivars. The objectives of this study were (1) to conduct two cycles of within-family selection for increased biomass yield in WS4U switchgrass and (2) to simultaneously evaluate progress from selection relative to the mean of the original WS4U population. Each of the 150 WS4U families was subjected to phenotypic selection for vigor, seed production, and disease resistance. The mean of all families increased relative to the original WS4U population by 0.36 Mg ha −1 cycle −1 for biomass yield and 3.0% cyclefor ground cover. Gains were uniform across two diverse evaluation locations, indicating that selection gains were robust relative to some variation in Hardiness Zone and soil type. Two cycles of within-family selection led to a homogenization of the diverse families, creating novel recombinations and reducing the family genetic variance to near zero. It is hypothesized that selection and recombination has led to replication of favorable alleles across pedigrees with differing genetic backgrounds, increasing the likelihood of including these favorable alleles in the progeny of future selections. The rate of genetic progress is expected to increase in future cycles of selection with a combination of within-family phenotypic selection and half-sib progeny testing of selected families.

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Section: Resultssupporting

confidence: 54%

Section: Introductionmentioning

confidence: 99%

Changes in Mean and Genetic Variance During Two Cycles of Within-family Selection in Switchgrass

Casler

2010

Bioenerg. Res.

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“…Using the best available forage-type cultivars, biomass production can be economic and sustainable only under the best management conditions, which are generally more likely to be achieved by the most experienced growers [1]. Biomass yield is a heritable trait in switchgrass and yield gains have been achieved in several breeding programs during the past 20 years [2][3][4]. Gains in biomass yield as high as 27% have been reported from a single generation of selection within wild or relatively unimproved populations, e.g., [3].…”

Section: Introductionmentioning

confidence: 99%

“…Phenotypic selection of individual plants with the greatest amount of biomass is very effective on relatively raw and unimproved germplasm [2][3][4], easily allowing breeders to discard plants with low vigor, tillering, or whole-plant biomass. However, the genetic correlation between spaced-plant biomass and sward-plot biomass yield diminishes to near zero for elite and highly improved germplasm [6].…”

Section: Introductionmentioning

confidence: 99%

Breeding for Biomass Yield in Switchgrass Using Surrogate Measures of Yield

Casler

Ramstein

2017

Bioenerg. Res.

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Development of switchgrass (Panicum virgatum L.) as a dedicated biomass crop for conversion to energy requires substantial increases in biomass yield. Most efforts to breed for increased biomass yield are based on some form of indirect selection. The objective of this paper is to evaluate and compare the expected efficiency of several indirect measures of breeding value for improving sward-plot biomass yield of switchgrass. Sward-plot biomass yield, row-plot biomass, and spaced-plant biomass were measured on 144 half-sib families or their maternal parents from the WS4U-C2 breeding population of upland switchgrass. Heading date was also scored on row plots and anthesis date was scored on spaced plants. Use of any of these indirect selection criteria was expected to be less efficient than direct selection for biomass yield measured on sward plots, when expressed as genetic gain per year. Combining any of these indirect selection criteria with half-sib family selection for biomass yield resulted in increases in efficiency of 14 to 36%, but this could only be achieved at a very large cost of measuring phenotype on literally thousands of plants that would eventually have no chance of being selected because they were derived from inferior families. Genomic prediction methods offered the best solution to increase breeding efficiency by reducing average cycle time, increasing selection intensity, and placing selection pressure on all additive genetic variance within the population. Use of genomic selection methods is expected to double or triple genetic gains over field-based half-sib family selection.

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“…Knowledge of the nature of genetic variability and interrelationships among seed yield and yield components would facilitate breeding improvement for these traits. Information on genetic variability of biomass yield and yield components in switchgrass has been published (Newell and Eberhart 1961;Talbert et al 1983;Sladden and Bransby 1992;Hopkins et al 1995, Das et al 2004Boe and Casler 2005;Rose et al 2007Rose et al , 2008Boe 2007;Boe and Beck 2008). Interrelationships among the biomass yield and yield components have been reported (Talbert et al 1983;Redfearn et al 1997;Das et al 2004;Boe 2007).…”

Section: Introductionmentioning

confidence: 99%

Genetic variability and interrelationships of seed yield and yield components in switchgrass

Das

Taliaferro

2009

Euphytica

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Information on the genetic variability of seed yield and yield components is limited and no information is available on correlations among seed yield and yield components and direct and indirect eVects of the yield components on seed yield in switchgrass, Panicum virgatum L. Accordingly, we conducted replicated experiments at Chickasha and Perkins, OK, in 1998 involving 11 lowland type switchgrass populations to assess genetic variation for seed yield and yield components, quantify interrelationships among them, and determine direct and indirect eVects of yield components on seed yield through path coeYcient analysis to identify traits for indirect selection of seed yield. SigniWcant (P · 0.01) variation existed among the 11 populations over locations for percent seed set and 100-seed weight. Seed yield/ plant and the seed yield components panicle number/ plant, spikelet number/panicle, and seed number/panicle had signiWcant (P · 0.05) population £ location interactions, indicating substantial environmental inXuence on these traits for these populations. Accordingly, data for these traits were analyzed separately for each location revealing signiWcant (P · 0.01) diVerences among populations at both locations for each of these traits. Phenotypic correlation between seed yield/plant and seed number/panicle was positive (r = 0.76** at Chickasha and r = 0.72** at Perkins). Path coeYcient analyses revealed that seed number/panicle had the highest positive direct eVect on seed yield at both locations. Ample genetic variability was present among the switchgrass populations studied to allow breeding improvement of seed yield. Selection for increased seed number/panicle would be the most eVective means of indirectly selecting for higher seed yield within this germplasm. Correlation and path coeYcient analyses among biomass yield, seed yield, and harvest index indicated that, at least within the switchgrass germplasm studied, it would be possible to breed switchgrass cultivars with enhanced biomass yielding ability and suYcient seed production capability for their commercial propagation.

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Effects of high- vs. low-yield environments on selection for increased biomass yield in switchgrass

Cited by 23 publications

References 16 publications

Changes in Mean and Genetic Variance During Two Cycles of Within-family Selection in Switchgrass

Changes in Mean and Genetic Variance During Two Cycles of Within-family Selection in Switchgrass

Breeding for Biomass Yield in Switchgrass Using Surrogate Measures of Yield

Genetic variability and interrelationships of seed yield and yield components in switchgrass

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