评估亏缺灌溉对 Bt 棉花(Gossypium hirsutum L.)产量和物候学的影响

Annu, H. M. N, Karmal Singh
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引用次数: 0

摘要

目的: 评估不同灌溉水平对棉花产量和物候性状的影响,并确定棉花栽培的最佳灌溉水平。研究设计: 因子随机区组设计。研究地点和时间:2019 年 6 月至 2020 年 7 月:印度哈里亚纳邦希萨尔 CCSHAU 农学系。研究方法:实验在露天田地中进行,重复地块以确保实验结果的可靠性。研究包括三个灌溉水平:I1(1.0 Etc)、I2(0.8 Etc)和 I3(0.6 Etc)。此外,还测试了四种施肥水平:F1(对照)、F2(50% RDF)、F3(75% RDF)和 F4(100% RDF)。采用三次重复的因子随机区组设计来管理小区。记录了主要物候性状,如结铃天数、50%开花天数、50%棉铃发育天数和成熟天数。此外,还测量了籽棉产量、单株棉铃数和单个棉铃重等产量成分。本研究使用的是 Bt 棉花基因型 RCH 776。所有农艺措施均按照中国农业科学院农业与农村发展研究所的建议进行。为确定处理间差异的显著性,进行了统计分析。结果结果表明,最高灌溉水平 I1(1.0 Etc)导致物候期延长,但籽棉产量最高,达到 3854 公斤/公顷。相比之下,灌溉水平最低的 I3(0.6 Etc)产量最低,仅为 3327 公斤/公顷。此外,在棉铃数和单铃重方面,I1 的表现优于 I3。在施肥处理方面,F4(100% RDF)的籽棉产量(4404 千克/公顷)、棉铃重(4.09 克)和单株棉铃数(53 个/株)最高。这些研究结果表明,灌溉和施肥对棉花产量及其组成部分都有显著影响。结论本研究得出结论,亏缺灌溉,尤其是 I2 水平(0.8 Etc)的亏缺灌溉,可以优化用水效率,而不会明显影响产量。最高施肥水平(F4)可产生最佳产量。建议采用这些优化的灌溉和施肥方法来提高哈里亚纳邦等干旱地区的棉花产量,并需要进一步验证,以确保其在不同环境条件下的可靠性和有效性。
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Assessing the Impact of Deficit Irrigation on Yield and Phenology of Bt Cotton (Gossypium hirsutum L.)
Aims: To Evaluate the Impact of Different Irrigation Levels on Cotton Yield and Phenological Traits and To Determine the Optimal Fertigation Level for Cotton Cultivation. Study Design:  Factorial Randomized Block Design. Place and Duration of Study: Department of Agronomy, CCSHAU, Hisar, Haryana, India between June 2019 and July 2020. Methodology: The experiment was set up in open fields with replicated plots to ensure the reliability of the results. The study included three irrigation levels: I1 (1.0 Etc), I2 (0.8 Etc), and I3 (0.6 Etc). Additionally, four fertigation levels were also tested: F1 (control), F2 (50% Recommended Dose of Fertilisers, RDF), F3 (75% RDF), and F4 (100% RDF). The factorial randomized block design with three replications was used to manage the plots. Key phenological traits, such as days to squaring, 50% flowering, 50% boll development, and maturity, were recorded. Yield components including seed cotton yield, number of bolls per plant, and individual boll weight were also measured. Bt cotton genotype RCH 776 was used for the study. All the agronomic practices were done as per the recommendations of CCSHAU. Statistical analysis was performed to determine the significance of differences between treatments. Results: The results indicated that the highest irrigation level, I1 (1.0 Etc), led to prolonged phenological stages but achieved the highest seed cotton yield of 3854 kg/ha. In contrast, the lowest irrigation level, I3 (0.6 Etc), resulted in the lowest yield at 3327 kg/ha. Additionally, I1 outperformed I3 in terms of boll number and individual boll weight. Regarding fertigation treatments, F4 (100% RDF) produced the highest seed cotton yield (4404 kg/ha), boll weight (4.09 g), and number of bolls per plant (53/Plant). These findings suggest that both irrigation and fertigation significantly influence cotton yield and its components. Conclusion: This study concluded that deficit irrigation, particularly at the I2 level (0.8 Etc), can optimize water use efficiency without significantly compromising yield. The highest fertigation level (F4) was found to produce the best yield outcomes. These optimized irrigation and fertigation practices are recommended for enhancing cotton production in arid regions like Haryana, with further validation needed to ensure their reliability and effectiveness in different environmental conditions.
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