Genotype by Environment Effects on Durum Wheat Quality and Yield-Implications for Breeding-Crop Breeding, Genetics and Genomics-CSCIED科技核心评价数据库-手机版

Genotype by Environment Effects on Durum Wheat Quality and Yield-Implications for Breeding

Genotype by Environment Effects on Durum Wheat Quality and Yield-Implications for Breeding

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DOI	10.20900/cbgg2020018
刊名	Crop Breeding, Genetics and Genomics CBGG
年，卷(期)	2020, 2(4)
作者	Mike Sissons*,Gururaj Kadkol,Julian Taylor,
作者单位	Tamworth Agricultural Institute, NSW Department of Primary Industries, Tamworth NSW 2340, Australia ; School of Agriculture Food and Wine, University of Adelaide, Adelaide SA 5005, Australia ;
Abstract	The main focus of a durum breeding program is to create high yielding, adapted durum wheat varieties that meet grain quality standards. Using modern statistical approaches we show how comprehensive data sets can be used to readily identify high performing and stable genotypes. A subset of 12 durum wheat genotypes were selected from breeding trials grown in five different locations in New South Wales, Australia, over three seasons constituting 15 dryland environments. Grain yield and quality traits were determined and for a subset of six genotypes, pasta quality traits were assessed. For non-pasta traits and yield, genotype, year, location and their interactions were statistically significant. Plots of overall performance versus stability allowed identification of the best genotypes for each trait with clear improvements noted in the more recent breeding material compared to older varieties. This analysis indicated high heritability for traits such as colour, dough strength, yield and milling potential. Using this approach, breeders can easily identify high performing genotypes for release or as parents in crossing.
KeyWord	durum wheat; heritability; breeding; genetics; grain quality
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引用本文

Mike Sissons*,Gururaj Kadkol,Julian Taylor. Genotype by Environment Effects on Durum Wheat Quality and Yield-Implications for Breeding, Crop Breeding, Genetics and Genomics. 2020; 2; (4). https://doi.org/10.20900/cbgg2020018.

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