Genotype by environment interactions for grain yield of perennial rice derivatives ( Oryza sativa L./ Oryza longistaminata ) in southern China and Laos

作者：Shilai Zhang, Jian Hu, Chundao Yang, Haitao Liu, Feng Yang, Jihua Zhou, Ben K. Samson, Chanthakhone Boualaphanh, Liyu Huang, Guangfu Huang, Jıng Zhang, Wanqi Huang, Dayun Tao, Dome Harnpichitvitaya, Len J. Wade, Fengyi Hu · 发表于：Field Crops Research · 年份：2017 · DOI：10.1016/j.fcr.2017.03.007 · 被引用次数：50 · 研究领域：Rice Cultivation and Yield Improvement、Genetics and Plant Breeding、Genetic Mapping and Diversity in Plants and Animals

Perennial grains have been proposed to stabilise fragile lands while contributing grain and grazing in mixed farming systems. Genotype by environment (GxE) interactions for grain yield were investigated in 22 perennial rice ( Oryza sativa L./ Oryza longistaminata ) derivatives over four successive growing seasons at three sites in Yunnan in southern China and one site in Lao PDR. The GxE interaction accounted for 25.7% of the total sum of squares, with environment and genotype responsible for 57.4% and 16.9%, respectively. Cluster analysis identified seven environment and six genotype groups, which accounted for 55.6% of the GxE sum of squares. Principal component axes 1, 2 and 3 accounted for 42.3%, 19.1% and 16.5% of the GxE-SS, respectively, with PCA1 indicating yield potential, PCA2 delay in phenology under environmental stress, and PCA3 ratoon percentage. Environment groups differed in mean temperature, whether dry season or wet season, and occurrence of environmental stresses, such as periods of low minimum temperature or periods of rainfall deficit. Genotype groups differed in adaptation to these diverse environments. For genotype groups, G5 (PR23) was highest-yielding and broadly adapted across environments, while G1 (line 188, both 137s, both 139s, both 147s) was low-yielding and poorly adapted. Other genotype groups showed preferential adaptation: G3 (lines 60, 251, 264, Bt69, Bt71) to Simao/Dry Season (E3 and E4), G4 (lines 75, 243, 246, 249, 255) to Menglian/Wet S...