用联合回归分析鉴定燕麦稳定野生近缘种种子和饲料产量成分

Sawan Kumar
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摘要

作物野生近缘种是适应气候变化有用等位基因的良好来源。本研究在Palampur的CSKHPKV对喜马拉雅西北部常见的7种燕麦野生近缘种(包括不同的燕麦品种)进行了连续三个种植季节(Rabi 2018-19至2020-21)的商业检测。采用Eberhart和Russell模型对16种种子、饲料产量和品质属性进行稳定性分析。大多数性状的基因互作均方显著,表明基因型对不同环境的响应存在差异。线性和非线性成分对基因型与环境的相互作用均有显著影响。鉴定出适应性或稳定性较强的基因型HFO 103对每穗种子、HFO 498对收获指数和所有基因型对蛋白质含量的响应性高于平均水平。因此,这些稳定且能很好适应湿润亚温带气候各种类型气候条件的选择性高分子量水系可在今后的育种计划中加以利用
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Identification of stable oat wild relatives among Avena species for seed and forage yield components using joint regression analysis
Crop wild relatives are a good source of useful alleles for climate change adaptation. In present investigation, seven oat wild relatives (OWRs) including different Avena species tested against one commercial check of cultivated species A. sativa across three consecutive cropping seasons (Rabi 2018-19 to 2020-21) prevalent in North-western Himalayas at CSKHPKV, Palampur. Stability analysis was performed using Eberhart and Russell model for sixteen seed, forage yield and quality attributes. The mean squares for GE interaction were significant for most of the traits indicating differential response of genotypes to different environments. Both linear and non-linear components significantly contributed to genotype × environment interactions. Higher mean over commercial check, above average responsiveness with wider adaptable or stable genotypes identified were HFO 103 (A. orientalis) for seeds per panicle, HFO 498 (A. longiglumis) for harvest index and all the genotypes for protein content. Thus, these selected OWRs found stable and well adapted to all the types of climatic conditions of humid sub-temperate climate could be exploited in future breeding programme
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