利用各种干旱指数筛选尼泊尔中山区水稻基因型的耐旱性

B. Kandel, L. Joshi, Subarna Sharma, P. Adhikari, B. Koirala, K. Shrestha
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引用次数: 5

摘要

干旱是旱作和干旱易发地区水稻减产的主要非生物因素,因此选育抗旱品种至关重要。我们的研究筛选了在尼泊尔中山种植的10个商业水稻品种和4个管道基因型。本研究的目的是寻找耐旱优良品种和适宜的筛选指标。采用3个重复的随机完全区组设计,对14个水稻基因型在干旱胁迫和非干旱胁迫条件下进行评价。在缺水条件下,各品种的产量下降幅度在12-54%之间。干旱指数、平均生产力、几何平均生产力和抗逆性指数与粮食产量呈高度正相关。在干旱指标方面,基因型NR 119的平均生产力、几何平均生产力、抗逆性指数最高,产量损失最低。此外,主成分分析通过聚类相似的干旱指数和耐旱品种来支持我们的结果。NR 119之后是Chaite 5和Chaite 4作为耐旱基因型,因此,我们建议将其用于尼泊尔中山地区的干旱易发地区。我们认为平均生产力、抗逆性指数和几何平均生产力是重要的干旱指标,因此我们建议使用这些指标进行干旱筛选。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Drought tolerance screening of rice genotypes in mid-hills of Nepal using various drought indices
ABSTRACT Drought is a major abiotic factor causing rice yield loss in rainfed and drought-prone areas, so screening of the cultivars for drought tolerance is crucial. Our study screens 10 commercial rice cultivars grown in the mid-hills of Nepal and four pipeline genotypes. Our objective is to identify the superior drought-tolerant cultivar and suitable indices for screening. The 14 rice genotypes were evaluated under both drought stress and non-stress conditions in randomized complete block design with three replications. The yield reduction for the cultivars ranged from 12-54% during water-stressed conditions. The drought indices mean productivity, geometric mean productivity and stress tolerance index showed a positive and high correlation with grain yield. Based on drought indices, genotype NR 119 showed the highest mean productivity, geometric mean productivity, stress tolerance index and lowest yield loss. Further, principal component analysis bolsters our results by clustering similar drought indices and drought-tolerant cultivars. The NR 119 is followed by Chaite 5 and Chaite 4 as a drought-tolerant genotype, therefore, we recommend it for drought-prone areas of the mid-hill region of Nepal. We identified mean productivity, stress tolerance index and geometric mean productivity as important drought indices, so we recommend using this for drought screening.
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