印度拉贾斯坦邦超干旱区不同生长环境和植物密度对落花生(Arachis hypogaea L.)物候期发育和农业气象指标的影响

M. L. Reager, Subhash Chandra, S.P. Singh, R. C. Bairwa, N. Kishor, Richa Pant, C. K. Dotaniya, Vinay Kumar, Sang-Min Chung, Anupama Singh, Chinmayee Mohapatra, Suvalaxmi Palei, Meenakshi Badu, Ankita Mohanty, M. Kabi, S. Kumaraswamy, B. S. Kherawat, Mahipal Singh Kesawat
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摘要

落花生(Arachis hypogaea L.)是全球重要的油籽作物。这些植物的生长、发育和生产力明显受到全球气候变化的不利影响。因此,本研究试图考察不同的生长环境和种植密度如何影响印度拉贾斯坦邦超干旱地区落花生的物候发育。在印度比卡内尔的 Swami Keshwanand Rajasthan 农业大学 Krishi Vigyan Kendra 进行了一项田间试验,时间跨度为 2017 年、2018 年和 2019 年三个季节。实验采用四次重复的分小区设计。处理包括三个生长环境主小区(5 月 15 日、5 月 30 日和 6 月 15 日播种)和三个种植密度子小区(1.67 万公顷/1、2.50 万公顷/1 和 3.33 万公顷/1)。田间试验结果表明,5 月 30 日播种的落花生与 6 月 15 日播种的落花生在统计学上不相上下,在始花期和花柱形成期,落花生的 GDD 值、氦热单位 (HTU)、PTI、热利用效率 (HUE)、光热利用效率 (PUE)、氦热利用效率以及湿热利用效率 (Hg TUE-I 和 II) 均较高。然而,在生长后期,5 月 15 日播种的 GDD、HTU、HUE、PUE、HgTUE-I 和 II 值明显更高。随着播种时间推迟到 5 月 30 日和 6 月 15 日,这些数值逐渐下降。此外,将种植密度从 1.67 万公顷-1、2.50 万公顷-1 和 3.33 万公顷-1 提高到 1.67 万公顷-1、2.50 万公顷-1 和 3.33 万公顷-1,可显著提高花生各物候期的 HTU、HUE、PUE、HgTUE-I 和 II。因此,这些研究结果强调了在具有挑战性的环境条件下,精确的时间和密度控制对花生产量最大化的重要意义。通过了解和改变这些变量,农民可以减轻气候变化的不利影响,提高花生的产量,尤其是在拉贾斯坦邦等极度干旱地区。
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Influence of Diverse Growing Environments and Plant Densities on Phenological Development and Agrometeorological Indices of Groundnut (Arachis hypogaea L.) in the Hyper Arid Zone of Rajasthan, India
Groundnut (Arachis hypogaea L.) stands as a significant oilseed crop globally. The growth, development, and productivity of these plants are notably affected by the adverse impacts of global climate change. Therefore, the current study sought to examine how diverse growing environments and planting densities influence the phenological development of groundnut in the hyper-arid zone of Rajasthan, India. A field experiment spanning the kharif seasons of 2017, 2018, and 2019 was conducted at Krishi Vigyan Kendra, Swami Keshwanand Rajasthan Agricultural University, Bikaner, India. The experiment laid out in split-plot design with four replications. The treatments included three main plots for growing environments (sowing on May 15, May 30, and June 15) and three sub-plots for planting densities (1.67 lakh ha-1, 2.50 lakh ha-1 and 3.33 lakh ha-1).. The outcomes of the field experiment indicates that sowing groundnut on May 30 was statistically on par with sowing on June 15 and resulted in higher values of GDD, helio thermal units (HTU), PTI, heat use efficiency (HUE), photothermal use efficiency (PUE), and heliothermal use efficiency, as well as hygrothermal use efficiency (Hg TUE-I and II) at the initiation of flowers and peg formation stages. However, at later growth stages significantly higher values of GDD, HTU, HUE, PUE, HgTUE-I and II were observed with the May 15 sowing. These values gradually decreased with delayed sowing up to May 30 and June 15. Further, increasing the planting density from 1.67 lakh ha-1, 2.50 lakh ha-1 and 3.33 lakh ha-1 significantly enhanced the HTU, HUE, PUE, HgTUE-I and II at various phenological stages of groundnut. Therefore, these findings underscore the significance of precise timing and density control in maximizing groundnut yields under challenging environmental circumstances. By understanding and modifying these variables, farmers can mitigate the adverse effects of climate change and enhance groundnut productivity, especially in extremely arid areas like Rajasthan.
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