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Response of 10 Elite “Green Super Rice” Genotypes to Weed Infestation in Aerobic Rice Systems

机译:有氧水稻系统中10种优秀“绿色超级稻”基因型对杂草侵染的响应

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In recent years, water and labor shortage in Southeast Asia is driving the farmers towards dry-seeded rice systems. Weed infestation is a serious threat for adoption of these systems. A study was conducted in the wet and dry seasons to evaluate the performance of 10 elite “Green Super Rice” (a recently named group of rice genotypes bred for unfavorable marginal environments) genotypes at two different weed infestation levels (partial and moderate weed control) under dry-seeded conditions. Average yield loss due to weed competition in the partial weed control treatment ranged from 12 – 57% in the wet season and 2 – 23% in the dry season. In the partial weed control plots, the drought pyramiding genotype IR83140-B-11-B performed well, resulting in 2850 and 4610 kg ha–1 of yield in the wet and dry seasons, respectively. The yield loss of this genotype in the partial weed control plots relative to the moderate weed control plots was only 21% in the wet season and 10% in the dry season. Results clearly showed that grain yield in different genotypes were positively correlated with leaf area at an early stage of the crop. The study also found negative and linear correlation between grain yield and weed biomass at harvest, demonstrating the importance of weeds in dry-seeded rice systems. The study suggested that genotypes with a larger leaf area could be integrated with other weed management strategies to achieve sustainable weed control in dry-seeded rice systems.
机译:近年来,东南亚的水和劳动力短缺正迫使农民转向旱作稻米系统。杂草侵害是采用这些系统的严重威胁。在干燥和潮湿的季节进行了一项研究,以评估两种杂草侵染水平(部分和中度杂草控制)下的10种“绿色超级稻”(最近被命名为在不利的边缘环境中培育的水稻基因组)的基因型的性能。在播种条件下。部分杂草控制处理中由于杂草竞争而导致的平均产量损失在雨季为12 – 57%,而在旱季为2 – 23%。在部分杂草控制区,干旱金字塔型基因型IR83140-B-11-B表现良好,在潮湿和干燥季节分别产生2850和4610 kg ha-1。相对于中度杂草防治区,该基因型在部分杂草防治区的产量损失在雨季仅为21%,而在旱季仅为10%。结果清楚地表明,不同基因型的谷物产量与作物早期的叶面积呈正相关。该研究还发现收获时谷物产量与杂草生物量之间呈负相关和线性关系,这表明杂草在旱作水稻系统中的重要性。该研究表明,具有较大叶面积的基因型可以与其他杂草处理策略相结合,以实现水稻种子系统的可持续杂草控制。

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