基于 "3414 "田间试验建立的肥料效应函数的滴灌花生施肥参数。

IF 1.7 4区 生物学 Q3 BIOLOGY Open Life Sciences Pub Date : 2024-07-16 eCollection Date: 2024-01-01 DOI:10.1515/biol-2022-0894
Zhijian Gao, Xinlu Bai, Xiaoyun Tang, Jinhu Zhi, Yu Liu, Guodong Wang, Guojiang Yang, Yantao Liu, Liang Wang
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The ternary quadratic equation relating peanut yield (<i>y</i>) and the fertilizer application rates of N (N), P (P<sub>2</sub>O<sub>5</sub>), and K (K<sub>2</sub>O) was obtained after fitting, i.e., <i>y</i> = 2912.528 + 21.432N + 16.324P + 6.181K - 0.051N<sup>2</sup> - 0.109P<sup>2</sup> - 0.061K<sup>2</sup> + 0.017NP + 0.023NK + 0.086PK, and significance analysis and typicality assessment were performed. The model <i>R</i> <sup>2</sup> was 0.9709, both values are extremely significant (<i>p</i> < 0.01), which indicates that the obtained ternary quadratic fertilizer effect function is typical and could be used for statistical purposes and fertilization recommendations. Three quadratic fertilizer effect functions were obtained. Among them, the equation for <i>K</i> is extremely significant, and the equations of <i>N</i> and <i>P</i> are significant. According to the assumption that the marginal yield is zero and the marginal profit is zero, the fertilizer application rate with the maximum yield, the fertilizer application rate with the best economic benefits, and the corresponding yields were obtained. The optimal fertilizer application rate predicted by the ternary quadratic fertilizer effect function was relatively high, so the three quadratic fertilizer effect functions were used for prediction. Under the test conditions, the recommended fertilizer application rates for peanuts under MDI are 256.6 kg N per ha, 164.2 kg P<sub>2</sub>O<sub>5</sub> per ha, and 213.2 kg K<sub>2</sub>O per ha, the recommended fertilization ratio is 1:0.64:0.83, and the recommended ratio under formula fertilization is 23:15:19. 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引用次数: 0

摘要

科学施肥是实现花生高产稳产的重要技术手段。利用测土配方施肥,采用 "3414 "优化回归设计,包括14个氮、磷、钾施肥处理。根据三季田间试验建立了肥料效应的三元二次函数,并对肥料-产量函数进行了回归分析,探索了地膜滴灌(MDI)条件下花生的最佳施肥模式和比例,建立了合适的施肥系统。拟合后得到花生产量(y)与氮(N)、磷(P2O5)、钾(K2O)施肥量的三元二次方程,即 y = 2912.528 + 21.432N + 16.324P + 6.181K - 0.051N2 - 0.109P2 - 0.061K2 + 0.017NP + 0.023NK + 0.086PK,并进行了显著性分析和典型性评价。模型 R 2 为 0.9709,两个值均极显著(P < 0.01),表明所得到的三元二次肥料效应函数具有典型性,可用于统计和施肥建议。得到了三个二次肥料效应函数。其中,K 的方程极其显著,N 和 P 的方程显著。根据边际产量为零、边际利润为零的假设,得出了产量最大的施肥量、经济效益最好的施肥量以及相应的产量。三元二次肥料效应函数预测的最佳施肥量相对较高,因此采用三次二次肥料效应函数进行预测。在试验条件下,MDI 条件下花生的推荐施肥量为每公顷 256.6 千克 N、每公顷 164.2 千克 P2O5 和每公顷 213.2 千克 K2O,推荐施肥比例为 1:0.64:0.83,配方施肥的推荐比例为 23:15:19。该研究为新疆滴灌花生开发了基于数据的决策支持系统,可帮助农民和农业管理者根据作物的具体生长要求和土壤条件做出更科学、更精确的施肥决策。这种基于证据的方法提高了农业管理的精确性,有利于提高作物产量,同时减少资源浪费和环境影响。不过,仍需要进行多点和多年试验,以确保研究结果能够适应实际中可能遇到的不同土壤条件和波动的气候模式。
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Fertilizer application parameters for drip-irrigated peanut based on the fertilizer effect function established from a "3414" field trial.

Scientific fertilization is an important technical means of achieving high and stable peanut yields. Using soil testing and formula fertilization, the "3414" optimal regression design was used and included 14 nitrogen (N), phosphorus (P), and potassium (K) fertilization treatments. Ternary quadratic functions of the fertilizer effect were established according to three-season field experiments and the regression analysis of fertilizer-yield function was performed to explore the optimal fertilizer application mode and ratio for peanuts under mulched drip irrigation (MDI), and a suitable fertilizer application system was established. The ternary quadratic equation relating peanut yield (y) and the fertilizer application rates of N (N), P (P2O5), and K (K2O) was obtained after fitting, i.e., y = 2912.528 + 21.432N + 16.324P + 6.181K - 0.051N2 - 0.109P2 - 0.061K2 + 0.017NP + 0.023NK + 0.086PK, and significance analysis and typicality assessment were performed. The model R 2 was 0.9709, both values are extremely significant (p < 0.01), which indicates that the obtained ternary quadratic fertilizer effect function is typical and could be used for statistical purposes and fertilization recommendations. Three quadratic fertilizer effect functions were obtained. Among them, the equation for K is extremely significant, and the equations of N and P are significant. According to the assumption that the marginal yield is zero and the marginal profit is zero, the fertilizer application rate with the maximum yield, the fertilizer application rate with the best economic benefits, and the corresponding yields were obtained. The optimal fertilizer application rate predicted by the ternary quadratic fertilizer effect function was relatively high, so the three quadratic fertilizer effect functions were used for prediction. Under the test conditions, the recommended fertilizer application rates for peanuts under MDI are 256.6 kg N per ha, 164.2 kg P2O5 per ha, and 213.2 kg K2O per ha, the recommended fertilization ratio is 1:0.64:0.83, and the recommended ratio under formula fertilization is 23:15:19. The study has developed a data-based decision support system for Xinjiang drip-irrigated peanut, which assists farmers and agricultural managers in making more scientific and precise fertilization decisions based on the specific growth requirements of the crops and soil conditions. This evidence-based methodology enhances the precision of agricultural management, which is conducive to increasing crop yields while reducing resource wastage and environmental impact. However, multipoint and multiyear experiments are still needed to ensure that the findings are adaptable to the diverse soil conditions and fluctuating climate patterns that may be encountered in practice.

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来源期刊
CiteScore
2.50
自引率
4.50%
发文量
131
审稿时长
43 weeks
期刊介绍: Open Life Sciences (previously Central European Journal of Biology) is a fast growing peer-reviewed journal, devoted to scholarly research in all areas of life sciences, such as molecular biology, plant science, biotechnology, cell biology, biochemistry, biophysics, microbiology and virology, ecology, differentiation and development, genetics and many others. Open Life Sciences assures top quality of published data through critical peer review and editorial involvement throughout the whole publication process. Thanks to the Open Access model of publishing, it also offers unrestricted access to published articles for all users.
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