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首页> 外文期刊>Journal of Crop Improvement >Genotype x environment interactions and optimum resource allocation for sugarcane yield trials in Swaziland
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Genotype x environment interactions and optimum resource allocation for sugarcane yield trials in Swaziland

机译:基因型X环境相互作用与瑞士甘蔗产量试验的最佳资源分配

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To account for genotype x environment (G x E) interactions, sugarcane varieties are tested in multi-environment trials (METs) across multiple crop-years and seasons (early vs. late) under fully irrigated conditions in Swaziland. This study aimed to quantify the main sources of variation relevant to the MET network, identify mega-environments, evaluate adaptability of imported sugarcane varieties, and optimize resource use within the testing network Nine varieties (eight imported Mauritian and one South African variety) were tested at two sites (Mhlume - M and Simunye - S), harvested early (E) and late (L) in the season across five crop-years in replicated (8) Latin square designs. A linear mixed model analysis of cane yield (tons of cane per ha; TCH), sucrose content (SUC%), sucrose yield (tons of sugar per ha; TSH), and fiber content (FIB%) showed that variety x season interactions were highly significant (P < 0.001) and larger than variety x site interactions for most traits. Genotype + genotypex environment (GGE) biplots revealed clustering of environments into two mega-environments by season rather than by site. Two Mauritian varieties were superior in each of the early and late mega-environments. Broad-sense heritability (H2) for all traitswas larger than 0.79, with the highest value observed for FIB% (0.89). Resource optimization analysis, using variance components, suggested that future testing be conducted at a single site, across two seasons, with replicate numbers >5, and harvested across approximately five crop-years. Strong variety x season interactions should be exploited more aggressively in irrigated sugarcane selection programs.
机译:为了考虑基因型X环境(G X E)相互作用,在斯威士兰的完全灌溉条件下,在多种作物血统和季节(早期与早期)的多环境试验(METS)中测试甘蔗品种。本研究旨在量化与MET网络相关的主要变化来源,识别大型环境,评估进口甘蔗品种的适应性,并在测试网络中优化资源使用九个品种(八个进口毛里求斯和一个南非各种)进行了测试在两个网站(Mhlume-M和Simunye),在复制(8)拉丁广场设计中的五个作物年初(e)和季节早期(e)和(l)收获。甘蔗产量的线性混合模型分析(每人吨甘蔗; TCH),蔗糖含量(Suc%),蔗糖产率(每人吨糖; TSH),纤维含量(FIB%)显示出多样性X季节相互作用非常重要(P <0.001),大于大多数特征的X站点相互作用。基因型+ Genotypex环境(GGE)双针将环境的聚类显示为季节而不是现场的两个兆瓦环境。每次早期和晚期环境中,两名毛里求斯品种都优越。对于大于0.79的所有Traitswas的宽视遗传性(H2),对于FIB%(0.89)观察到最高值。资源优化分析,使用方差分量建议在两个季节的单个站点进行未来测试,其中复制数字> 5,并在大约五个作物中收获。在灌溉的甘蔗选择计划中,应更积极地利用强品种X季节互动。

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