Genotype × environment interaction analysis of North American shrub willow yield trials confirms superior performance of triploid hybrids
- Horticulture Section School of Integrative Plant Science New York State Agricultural Experiment Station Cornell University Geneva NY 14456 USA
- Department of Forest and Natural Resources Management State University of New York College of Environmental Science and Forestry Syracuse NY 13210 USA
- Forest Biomass Innovation Center Michigan State University Escanaba MI 49829 USA
- Soil and Crop Sciences Section School of Integrative Plant Science Cornell University Ithaca NY 14853 USA
- Department of Soil Science University of Saskatchewan Saskatoon SK S7N 5A8 Canada
- Center for Northern Agroforestry and Afforestation University of Saskatchewan Saskatoon SK S7N 5A8 Canada
- Department of Plant Science University of Connecticut Storrs CT 06269 USA
- Institut de Recherche en Biologie Végétale University of Montréal Montréal QC H3C 3J7 Canada
- Southern Research and Outreach Center University of Minnesota Waseca MN 56093 USA
- Department of Biology State University of New York at Potsdam Potsdam NY 13676 USA
- Department of Crop Sciences University of Illinois Urbana IL 61801 USA
Abstract Development of dedicated bioenergy crop production systems will require accurate yield estimates, which will be important for determining many of the associated environmental and economic impacts of their production. Shrub willow ( Salix spp) is being promoted in areas of the USA and Canada due to its adaption to cool climates and wide genetic diversity available for breeding improvement. Willow breeding in North America is in an early stage, and selection of elite genotypes for commercialization will require testing across broad geographic regions to gain an understanding of how shrub willow interacts with the environment. We analyzed a dataset of first‐rotation shrub willow yields of 16 genotypes across 10 trial environments in the USA and Canada for genotype‐by‐environment interactions using the additive main effects and multiplicative interactions ( AMMI ) model. Mean genotype yields ranged from 5.22 to 8.58 oven‐dry Mg ha −1 yr −1 . Analysis of the main effect of genotype showed that one round of breeding improved yields by as much as 20% over check cultivars and that triploid hybrids, most notably Salix viminalis × S. miyabeana , exhibited superior yields. We also found important variability in genotypic response to environments, which suggests specific adaptability could be exploited among 16 genotypes for yield gains. Strong positive correlations were found between environment main effects and AMMI parameters and growing environment temperatures. These findings demonstrate yield improvements are possible in one generation and will be important for developing cultivar recommendations and for future breeding efforts.
- Research Organization:
- Cornell Univ., Ithaca, NY (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Sustainable Transportation Office. Bioenergy Technologies Office (BETO); National Inst. of Food and Agriculture (NIFA) (United States)
- Contributing Organization:
- State Univ. of New York College of Environmental Science and Forestry, Syracuse, NY (United States); Michigan State Univ., Escanaba, MI (United States); Cornell Univ., Geneva, NY (United States); Univ. of Saskatchewan, Saskatoon, SK (Canada); Univ. of Connecticut, Storrs, CT (United States); Univ. of Montreal, QC (Canada); Univ. of Minnesota, Waseca, MN (United States); State Univ. of New York at Potsdam, NY (United States); Univ. of Illinois, Urbana, IL (United States)
- Grant/Contract Number:
- FC36-05GO85041; 2012-68005-19703
- OSTI ID:
- 1341327
- Alternate ID(s):
- OSTI ID: 1341328; OSTI ID: 1361672
- Journal Information:
- Global Change Biology. Bioenergy, Journal Name: Global Change Biology. Bioenergy Vol. 9 Journal Issue: 2; ISSN 1757-1693
- Publisher:
- Wiley-BlackwellCopyright Statement
- Country of Publication:
- United Kingdom
- Language:
- English
Web of Science
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