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首页> 外文期刊>Chilean Journal of Agricultural Research >GGE biplot analysis of multi-environment yield trials of rice produced in a temperate climate
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GGE biplot analysis of multi-environment yield trials of rice produced in a temperate climate

机译:GGE双图分析在温带气候条件下生产的水稻的多环境产量试验

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Low temperature is one of the main environmental constraints for rice ( Oryza sativa L.) grain production yield. It is known that multi-environment studies play a critical role in the sustainability of rice production across diverse environments. However, there are few studies based on multi-environment studies of rice in temperate climates. The aim was to study the performance of rice plants in cold environments. Four experimental lines and six cultivars were evaluated at three locations during three seasons. The grain yield data were analyzed with ANOVA, mixed models based on the best linear unbiased predictors (BLUPs), and genotype plus Genotype × Environment interaction (GGE) biplot. High genotype contribution (> 25%) was observed in grain yield and the interaction between genotype and locations was not very important. Results also showed that ‘Quila 241319’ was the best experimental line with the highest grain yield (11.3 t ha-1) and grain yield stability across the environments; commercial cultivars were classified as medium grain yield genotypes.
机译:低温是水稻(Oryza sativa L.)谷物产量的主要环境限制之一。众所周知,多环境研究在跨多种环境的水稻生产可持续性中发挥着关键作用。但是,基于温带气候下水稻多环境研究的研究很少。目的是研究水稻在寒冷环境下的性能。在三个季节中的三个位置评估了四个试验品系和六个品种。使用ANOVA,基于最佳线性无偏预测因子(BLUPs)的混合模型以及基因型加基因型×环境相互作用(GGE)双线图分析了谷物产量数据。基因型贡献率高(> 25%),且基因型和位置之间的相互作用不是很重要。结果还表明,“ Quila 241319”是在所有环境中具有最高谷物产量(11.3 t ha -1 )和谷物产量稳定性的最佳试验品系;商业品种被归类为中等谷物产量基因型。

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