Optimizing Groundnut (Arachis hypogaea L.) Yields: An Effect of Sowing Dates and Planting Densities in India Hot Arid Regions Under a Changing Climate

M. L. Reager, Subhash Chandra, N. Kishor, Richa Pant, Sang-Min Chung, Saleh Alfarraj, Mohammad Javed Ansari, Meenakshi Badu, Seema Tripathy, Ankita Mohanty, S. Kumaraswamy, B. S. Kherawat, Mahipal Singh Kesawat
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Abstract

Groundnut (Arachis hypogaea L.) holds immense significance as an oilseed crop on a global scale. The growth and development of plants, along with crop productivity, are substantially impacted by the adverse effects of global climate change. In view of this, a research initiative was undertaken to investigate the effects of distinct sowing dates and planting densities on the yield and economic aspects of groundnut in the hot arid region of Rajasthan, India. The experiment, conducted over a span of three years during the kharif seasons of 2017, 2018, and 2019 at Swami Keshwanand Rajasthan Agricultural University, Bikaner, Rajasthan, India. The experimental design utilized a split-plot layout with four replications, comprising nine treatments. The main plot treatments involved three different sowing dates (15th May, 30th May, and 15th June), while the sub-plot treatments encompassed three planting densities (1.67 lakh, 2.50 lakh, and 3.33 lakh plants per hectare). Notably, the diverse sowing dates and planting densities exhibited notable effects on groundnut yield and economic viability. Comparative analysis revealed that sowing on May 30th, while statistically comparable to June 15th sowing, yielded the highest number of branches, pegs, pods per plant, kernel and pod yield, net return, and benefit-cost ratio. Interestingly, the highest haulm yield per hectare was achieved with the May 15th sowing, yet the harvest index improved progressively as sowing was delayed from May 15th to June 15th. However, the various sowing dates had no discernible effect on kernels per pod, seed index, and shelling percentage. Furthermore, employing a planting density of 1.67 lakh plants per hectare was resulted in the highest counts of branches, pegs, pods, kernels per pod, seed index, and shelling percentage. Remarkably, the elevation in planting density up to 2.50 lakh plants per hectare led to enhanced kernel and pod yields, harvest index, and net return. In an intriguing interaction between sowing dates and plant populations, the most favorable pod yield, kernel yield, and net return were recorded with a planting density of 2.50 lakh plants per hectare for the May 30th sowing. These findings underscore the significant effect of sowing date and planting density on yield attributes and ultimately on groundnut yield in the challenging hot arid region. Therefore, the timing of sowing and the density of planting play pivotal roles in enhancing groundnut productivity within this region, particularly in light of the changing climate conditions.
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优化落花生(Arachis hypogaea L.)产量:印度干旱地区播种日期和种植密度对气候变化的影响
落花生(Arachis hypogaea L.)作为一种油籽作物,在全球范围内具有重要意义。植物的生长和发育以及作物的产量都受到全球气候变化的不利影响。有鉴于此,我们开展了一项研究,调查不同播种日期和种植密度对印度拉贾斯坦邦炎热干旱地区花生产量和经济方面的影响。实验在印度拉贾斯坦邦比卡内尔的斯瓦米-凯什瓦南德-拉贾斯坦邦农业大学进行,时间跨度为 2017、2018 和 2019 年的三个旱季。实验设计采用了四次重复的分小区布局,包括九个处理。主小区处理包括三个不同的播种日期(5 月 15 日、5 月 30 日和 6 月 15 日),子小区处理包括三个种植密度(每公顷 1.67 万株、2.50 万株和 3.33 万株)。值得注意的是,不同的播种日期和种植密度对花生产量和经济效益都有显著影响。比较分析表明,5 月 30 日播种与 6 月 15 日播种在统计上具有可比性,但每株花生的分枝数、荚果数、荚果数、花生仁和荚果产量、净收益和效益成本比都最高。有趣的是,5 月 15 日播种的每公顷茎秆产量最高,但随着播种从 5 月 15 日推迟到 6 月 15 日,收获指数也逐渐提高。然而,不同的播种日期对每荚果仁数、种子指数和脱壳率没有明显影响。此外,采用每公顷 1.67 万株的种植密度可获得最高的分枝数、荚果数、荚果数、每荚果仁数、种子指数和脱壳率。值得注意的是,种植密度提高到每公顷 2.50 万株后,果仁和豆荚产量、收获指数和净收益都有所提高。播种日期和植株数量之间的相互作用很有意思,5 月 30 日播种时,每公顷种植密度为 250 万株时,豆荚产量、果仁产量和净收益率最高。这些发现强调了播种日期和种植密度对产量属性的重要影响,并最终影响了炎热干旱地区花生的产量。因此,播种时间和种植密度在提高该地区花生产量方面起着关键作用,特别是在气候条件不断变化的情况下。
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