基于“3414”试验模型的四川盆地中部水稻氮磷钾肥效应研究

本研究采用“3414”肥料效应田间试验,旨在确定四川盆地中部资中县水稻的最佳施肥量,并构建高产施肥模型。通过设置氮、磷、钾3因素,每个因素4个水平,共14个处理,每个处理重复3次。结果表明:建立的三元二次肥料效应回归方程的相关系数(R^(2))为0.976。纯氮施用量为215.28 kg/hm^(2),五氧化二磷施用量为101.40 kg/hm^(2),氧化钾施用量为104.14 kg/hm^(2),水稻最大产量为7923.56 kg/hm^(2);纯氮最佳施用量为196.83 kg/hm^(2),五氧化二磷施用量为74.81 kg/hm^(2),氧化钾施用量为102.90 kg/hm^(2),水稻最佳产量为7867.96 kg/hm^(2)。建立的肥料效应模型可在四川盆地中部类似水稻产区推广,用于水稻生产上对施肥量的预测。

基于3414试验设计的云南雪茄烟叶生产施肥技术研究

为明确云南省瑞丽雪茄烟区土壤合理施肥方案,采用“3414”肥料试验设计,通过熵权法和回归分析,计算了各处理对应的烟株农艺性状综合得分,探究了N、P、K对雪茄烟株长势和烟叶产量的影响,筛选出最佳施肥方案。结果表明:(1)株高对雪茄烟株农艺性状的得分所占权重最大,处理6(N_(2)P_(2)K_(2))对应的得分最高。(2)在一定范围内增加N、P、K的施用量,对雪茄烟的产量有积极作用,然而随着施肥量的增加产量又有所下降。(3)构建了N、P、K施用量对雪茄烟产量的二元二次和三元二次回归模型,最佳施肥方案为N施用量在118.7~126.9 kg/hm^(2)之间,P_(2)O_(5)施用量在75.7~81.4 kg/hm^(2)之间,K_(2)O施用量在342.1~366.5 kg/hm^(2)之间,目标产量在1816.3~1812.5 kg/hm^(2)之间。

基于“3414”试验的切花芍药氮磷钾推荐施肥量研究

针对切花芍药生长过程中盲目施肥的现状,以二年生芍药‘向天歌’为研究对象,采用“3414”试验施肥方案,结合隶属函数法,研究氮、磷、钾肥不同用量对切花芍药生长的影响,探讨切花芍药生产适宜的肥料用量。结果表明:不同施肥处理对芍药株高、茎粗、蕾径、分株数和切花数影响显著(P<0.05);氮、磷缺素区的综合隶属函数值小于无肥区,缺钾区大于无肥区,对芍药生长的影响为氮>磷>钾;N2P2K1处理的综合隶属函数值最大,为0.61,芍药植株生长最好;对各处理的综合隶属函数值和施肥量进行肥料效应函数拟合分析,一元二次、二元二次肥料效应函数方程拟合相关性均达显著水平,三元二次肥料效应方程为非典型模型,采用频率分析法计算肥料推荐量。综合分析各肥料效应函数方程的推荐用量及相应的综合隶属函数值,本试验切花芍药推荐施肥量为N 212.7 kg/hm^(2)、P_(2)O_(5)46.2 kg/hm^(2)、K_(2)O 49.9 kg/hm^(2),施肥配比为1∶0.21∶0.23,可用于本试验区切花芍药生产的施肥参考。

甘南高寒阴湿区宽幅匀播青稞“3414”肥效试验

为了将宽幅匀播技术与“3414”肥效试验相结合,应用于甘南高寒阴湿区青稞种植与示范推广中,推动该地区青稞种植产业发展。采用“3414”最优回归设计,以青稞甘青9号为指示品种,在宽幅匀播条件下研究了“3414”肥效试验对青稞生长及产量的影响,并建立了青稞产量与氮、磷、钾施量之间的肥效回归方程,以提高肥效,促进甘南高寒阴湿区青稞生产优质高产。结果表明,宽幅匀播条件下,甘青9号最佳产量为6640.32kg/hm^(2)时,施肥量为N36.34kg/hm^(2)、P_(2)O_(5)55.86kg/hm^(2)、K_(2)O7.09kg/hm^(2);最大产量为6834.09kg/hm^(2)时,施肥量为N80.66 kg/hm^(2)P_(2)O_(5)62.31kg/hm^(2)、K_(2)O16.58kg/hm。肥效回归方程中施肥量与青稞产量拟合度显著,可应用于大田生产。

贞丰县下等肥力地小麦“3414”肥料效应试验

[目的]探索贞丰县下等肥力地小麦氮、磷、钾肥最佳施肥配比。[方法]通过小麦“3414”肥料效应田间试验,对不同施肥处理的小麦产量进行分析比较,以确定最佳施肥配比。[结果]施用不同配比的氮、磷、钾肥对小麦的农艺性状和产量有不同的影响,当施肥量为N 390 kg/hm^(2),P_(2)O_(5)750 kg/hm^(2),K_(2)O 124.5 kg/hm^(2)时,小麦的产量最高,为4 971.0 kg/hm^(2),较未施肥区增产2 131.5 kg/hm^(2)。[结论]在与该试验相同肥力条件的下等肥力地种植小麦,推荐最佳施肥量为:N 390 kg/hm^(2),P_(2)O_(5)750 kg/hm^(2),K_(2)O 124.5 kg/hm^(2)。

基于“3414”肥效试验建立BP神经网络寻优的新模型初探

针对上海市崇明滧东地区传统施肥方式不能满足水稻需肥规律的问题,以水稻“3414”肥效试验结果为数据来源,以N、P_(2)O_(5)、K_(2)O施用量为优化目标,建立3-7-1拓扑结构BP神经网络模型,通过遗传算法得到最优产量下的最优施肥配比。预测结果表明:当地较优的施肥配比是N、P_(2)O_(5)、K_(2)O的施用量分别为24.94、0.87、4.27 kg/亩(1亩=667 m^(2)),预计最高产量为531.5 kg/亩。通过验证试验,在较优的施肥配比条件下,水稻的实际产量为548.7 kg/亩,验证了BP神经网络模型预测结果的准确性。

剑麻“3414”肥料效应研究

采用“3414”肥料效应试验方案,研究了剑麻氮磷钾肥推荐用量及养分吸收状况,为剑麻科学精准施肥提供参考。结果表明,N_(2)P_(2)K_(2)处理收获叶片数和鲜叶产量均最高,其N、P_(2)O_(5)、K_(2)O施用量分别为163.9、71.1、310.1 kg/hm^(2),比例为1.0∶0.4∶1.9。试验区土壤N、P含量均处于中等水平,土壤K含量处于低水平;叶片N含量偏高,P含量适宜,而K含量偏低,说明钾素是限制该区域剑麻产量的主要因素。随着叶片收获,不同处理平均N、P、K带走量分别为273.4、29.0、292.8 kg/hm^(2)。本试验条件下,推荐氮磷钾肥用量分别为N 126.2~141.0、P_(2)O_(5)59.0~65.8、K_(2)O 252.7~280.6 kg/hm^(2),折尿素274.3~306.5 kg/hm^(2),过磷酸钙368.8~411.3 kg/hm^(2),氯化钾421.1~467.7 kg/hm^(2),平均分别为N 133.6 kg/hm^(2)、P_(2)O_(5)62.4 kg/hm^(2)、K_(2)O 266.7 kg/hm^(2),N∶P_(2)O_(5)∶K_(2)O=1.0∶0.5∶2.0。

Studies on the Fertilization Effect and Optimal Fertilizing Amount of Brazil Banana Based on "3414" Field Trials

Fertilizer effect model such as ternary quadratic, unary quadratic, straight line and platform model was respectively used to analyze the two-year ＂3414＂ test data collected from banana garden in Fushan Town of Hainan Province. The results showed that the optimal fertilizing amount of ternary quadratic model simulation was0.374 kg/plant of N, 0.289 kg/plant of P2O5 and 0.891 kg/plant of K2 O. According to the yield trend characteristic, the optimal fertilizing amount of unary quadratic model was 0.400kg/plant of N, 0.214 kg/plant of P2O5 and 0.901kg/plant of K2 O. Thus it can be seen that only partial indices of the optimal fertilizing amount of ternary quadratic model simulation were higher than that of unary quadratic model. Considering the results, the optimal fertilizing amount of Brazil banana was 0.374-0.400kg/plant of N, 0.214-0.289 kg/plant of P2O5 and 0.891-0.901 kg/plant of K2 O.

基于“3414”试验的红心甘薯新品种‘莆薯17’优化施肥技术研究

为高产高效栽培红心甘薯新品种‘莆薯17’,采用“3414”肥料效应试验方案,研究氮磷钾配施对‘莆薯17’鲜薯产量的影响以及肥料效应。结果表明,影响‘莆薯17’产量的主要因素是钾肥,氮肥次之,磷肥最小。氮磷钾之间互作效应均可影响‘莆薯17’产量。氮磷钾施用量与‘莆薯17’产量的效应函数寻优结果表明,鲜薯获得最高产量(55646.98 kg/hm^(2))时的最大施肥量分别为氮肥206.88 kg/hm^(2)、磷肥100.37 kg/hm^(2)、钾肥252.86 kg/hm^(2),氮磷钾配比为1:0.49:1.22。氮肥最佳施肥量为199.42 kg/hm^(2),磷肥最佳施肥量为95.40 kg/hm^(2),钾肥最佳施肥量为238.50 kg/hm^(2),对应的最佳鲜薯产量为55574.07 kg/hm^(2),氮磷钾配比为1:0.48:1.2。

基于“3414”方案的云木香产量与质量研究初报

基于“3414”方案,研究了不同的氮、磷、钾肥配比对云木香产量和质量指标的影响。结果表明,N_(3)P_(2)K_(2)处理的纯N、纯P、纯K施用量分别为540.0、270.0、225.0 kg/hm^(2)的鲜重和干重产量最高,分别为31347.12、10486.61 kg/hm^(2),较N0P0K0(CK)分别增产132.67%、132.48%,N_(2)P_(2)K_(2)、N2P3K2的产量也较CK增产显著。质量指标:木香烃内酯含量在1.50%~2.00%之间,居前2位的N2P0K2、N2P2K0均为2.00%;去氢木香内酯含量为1.00%~1.60%,以N2P0K2最高,为1.60%,较CK增加了49.53%;木香烃内酯+去氢木香内酯总量为2.50%~3.60%,以N2P0K2最高,为3.60%;挥发油含量为0.59%~0.87%,以N2P0K2最高,为0.87%。肥料单因素对云木香鲜重产量的影响:磷肥的增产作用最明显,氮肥次之,钾肥最差。综合产量表现来看,最佳施肥处理为N_(3)P_(2)K_(2)。氮、磷、钾肥配施对木香烃内酯、去氢木香内酯、挥发油含量的影响无明显规律可循。频次分析结果表明,肥料推荐施用量:氮肥223.91~316.09 kg/hm^(2)、磷肥175.14~240.81 kg/hm^(2)、钾肥70.97~111.31 kg/hm^(2),肥料施用配比为1∶(0.55~1.08)∶(0.22~0.50),产量达13472.59~31347.12 kg/hm^(2)的概率为95%。

Effects of “3414” Fertilization Effect Test on the Yield and Economic Benefit of Sagittaria sagittifolia

[Objective] To screen the optimal fertilizer formula, and to lay foundation for the research on special fertilizer for Sagittaria sagittifolia production. [Method] Based on the ＂3414＂ fertilization design, the yield of S. sagittifolia in each treatment was determined, and the effects of N, P and K treatments on the yield and eco- nomic benefit of S. sagittifolia were investigated, obtaining the optimal fertilizer appli- cation ratio. [Result] N, P and K had relatively good effects on the yield of S. sagittifolia. Treatment of N2P2K3 showed the optimal fertilizer application ratio, with the yield of 18 397.80 kg/hm2, yield increasing rate of 104.77%, and net income in- crease of 80 317.35 Yuan/hm2. N fertilizer had the greatest impacts on the yield of S. sagittifolia, followed with K fertilizer; while P fertilizer showed the poorest impacts. [Conclusion] To achieve the highest yield of S. sagittifolia, the fertilizer application was as follows： N of 446.70 kg/hm2, P20 of 568.10 kg/hm2, K2O of 534.90 kg/hm2, when the highest yield was 18 612.75 kg/hm2. Fertilizer application for the optimal economic benefit was N of 420.60 kg/hm2, P2O5 of 70.50 kg/hm2, K2O of 492.15 kg/hm2, when the optimal yield was 18 579.00 kg/hm2.

Effects of Different N, P and K Fertilizer Levels on Growing Characters and Yield of Corn

[Objective] To provide scientific guidance for corn production in Suijiang County of Yunnan Province, explore the best recommended fertilization of corn, and provide a scientific basis for formulating the formula fertilization of corn in Suijiang County. [Method] Through carrying out ＂3414＂ corn field fertilizer efficiency experiment in Suijiang County, with the help of ＂3414＂ field experiment design and data analysis management system＂ software, the ternary quadratic and one-variable quadratic fertilizer efficiency equations on corn yield were analyzed. [Result] The optimum fertilization scheme for corn in the region was as follows： when pure N, pure P2O5 and K2O were respectively 244.38, 58.75 and 107.38 kg/hm^2, the the obtained best yield of corn was 6 975.60 kg/hm^2, and the maximum benefit was 16 888.58RMB/hm^2. [Conclusion] The reasonable formula of N, P and K fertilizers can not only improve the yield of corn, but also increase economic benefit, having certain reference significance to the development of formula fertilization of corn in Suijiang County.

Mineral Fertilizer Use for Optimal Groundnut Production in the Sudano-Guinean and Sudanian Zones of Benin

Abstract This study aims to determine the optimal N, P, K, Mg and Zn rates for groundnut production on Ferric and Plintic Luvisol in the Sudano-Guinean and Sudanian zones of Benin Republic. Two years (2018 and 2019) experiment was carried out in the municipality of Ouessè in the Sudano-Guinean zone and Bembèrèkè in the Sudanian zone. The tested nutrient doses were N (0, 20 and 40 kg⋅ha−1), P (0, 25 and 50 kg⋅ha−1), K (0, 20 and 40 kg⋅ha−1), Mg (0, 15 and 30 kg⋅ha−1) and Zn (0, 4 and 8 kg⋅ha−1). The Box and Behnken rotating design is used to define the N, P, K, Mg and Zn rate combinations leading to 46 combinations. A completely randomized bloc design was setting up considering farmers as replication. In total, four farmers’ fields were selected. A one-way analysis of variance is carried out on yield data, using the linear mixed-effect model. Response surface analyses were used to determine the optimal doses for each N, P, K, Mg and Zn. Nodule production (6.5 times higher than the control), number of gynophores (2.8 times higher than the control) and root length (19.2 ± 0.2 cm) of groundnut plants were significantly (p = 0.0001) improved with nutrient application. The response surface analysis shows that treatments N-P-K-Mg-Zn of 16.01-20.18-6.70-5.65-2.47 (in the Sudano-Guinean zone) and 13.1-25.07-11.47-0-1.82 (in the Sudanian zone) are the optimal rates that have induced optimal yield of 2.1 t⋅ha−1 (i.e. 2.5 times the yield in the farmers’ field) pod yield and the best return on investment per hectare. Nevertheless, for a sustainable groundnut producproduction, treatment 13.1-25.07-11.47-20-1.82 is suggested as regular K input is required for the respect of the fertilization laws.

A Quadratic Regression Analysis of the Effect of Three Levels of NPK Fertilizer on the Yield of Yellow Maize

Fertilizers are essential to modern agriculture;their overuse can have harmful effects on plants, crops and soil quality. Thus, the study seeks to investigate, if (actually) the trio of Nitrogen, Phosphorus and Potassium (NPK) contribute to the growth and yield of yellow maize, and to determine at what proportion each of the elements is to be applied for optimum yield. Our findings revealed that Nitrogen and Phosphoric fertilizer contributed significantly to the yield of yellow maize while there was no significant effect of Potassium Further analysis on the mean separation of Nitrogen and Phosphorus using Duncan’s Multiple Range Test—(DMRT) showed Nitrogen at 50 kg/ha as significantly higher than the other levels. For phosphorus, its effect at 20 kg/ha was significantly higher than the other levels. Thus, the derived quadratic model: .

雪茄烟品种楚雪26号“3414”肥效试验

采用“3414”试验设计,研究氮磷钾肥料不同用量处理对雪茄烟品种楚雪26号产量和养分吸收利用的影响。结果表明:与不施肥处理相比,各施肥处理显著提高雪茄烟叶的产量,增产效果顺序为氮肥>钾肥>磷肥;氮磷钾肥料合理施用可以优化烟叶等级结构,增加茄衣和茄套的产量,提高产值;通过一元二次回归拟合发现,烟叶最大产量时的施氮量为138.75 kg/hm^(2)、施磷量为71.85 kg/hm^(2)、施钾量为361.65 kg/hm^(2)。综合考虑产量、产值、养分吸收等指标,氮肥推荐施用量为130~140 kg/hm^(2)、磷肥推荐施用量为60~70 kg/hm^(2)、钾肥推荐施用量为340~360 kg/hm^(2)。

基于“3414”试验模型的大蒜氮磷钾肥效应研究

为探索大蒜生产对N、P、K的有效利用率,建立高效的大蒜施肥模型,完善大蒜施肥技术体系,指导大蒜大田生产精准施肥,以四川早熟蒜为试验对象,采用“3414”肥料效应田间试验,摸清四川早熟蒜在弥渡县生产过程中的农艺性状、产量、肥料效应。结果表明,在该试验条件下,当667 m^(2)施N 29.64 kg、P_(2)O_(5)9.6 kg、K_(2)O 25.27 kg,可得到最佳蒜薹产量869.18 kg;当667 m^(2)施N 37.45 kg、P_(2)O_(5)10.27 kg、K_(2)O 28.78 kg,可得到最佳蒜头产量1678.48 kg,其中单位养分对蒜薹的平均增产量以氮肥最高(11.02 kg/kg),钾肥次之(0.85 kg/kg),磷肥最低(0.02 kg/kg);单位养分对蒜头的平均增产量以氮肥最高(19.26 kg/kg),钾肥次之(0.11 kg/kg),磷肥最低(-0.6 kg/kg),其中磷肥为负效应。

氮磷钾配施对茉莉花产量及花汛期的影响

为了探寻氮磷钾配施最佳方案,为茉莉花科学施肥提供参考,选择立地条件具有区域代表性的地块为试验地,以试验地原有种植的树龄15年的广西壮族自治区横州市主栽品种横州市双瓣茉莉为供试材料,采用“3414”试验设计开展施肥效应试验,研究氮磷钾配施对横州市茉莉花产量及花汛的影响,以明晰横州市茉莉花种植区域环境条件下鲜花产量对氮磷钾的需求差异,为茉莉花科学施肥及鲜花增产提供理论依据。结果表明:(1)广西横州市茉莉花种植试验地的土壤养分对横县双瓣茉莉生产而言,速效氮含量过剩,而有效磷和速效钾处于中等偏低水平;(2)在氮磷钾3种肥料的互作效应中,磷肥和钾肥的互作效应最高,其次为氮磷钾肥和氮钾肥的互作效应;(3)不同的施肥处理的茉莉花日产量消长同步,不同氮磷钾配施对茉莉花花汛期的影响不显著;(4)在茉莉花的稳定花期(6—9月)中,各月均有花汛期出现,其中,7月平均日产量最高,8月平均日产量最稳定;(5)氮磷钾配施对茉莉花产量有显著影响,影响由大到小为磷肥>钾肥>氮肥;(6)本研究中,三元二次方程拟合不成功,一元二次方程方面仅有N的效应方程拟合成功,P、K的效应方程均拟合失败,而在二元二次方程中,NP、NK、PK的3个效应方程均拟合成功;对拟合成功的方程进行求解,排除实际操作中无法达到的施肥量,综合考虑试验地土壤速效氮含量过剩及减少种植户的投资成本等因素,推荐施肥方式及施肥量为磷肥393.64 kg/hm^(2),钾肥381.59 kg/hm^(2)。

乌兰县藜麦“3414”田间肥效试验

为确定乌兰县藜麦种植的最佳施肥模式,于2021年进行了藜麦“3414”田间肥效试验。结果表明:氮磷、钾肥配合施用可以显著提高藜麦产量;藜麦对氮、磷、钾肥的依存度分别为67.27%、43.64%、30.91%,氮肥和磷肥对藜麦产量的影响较大,钾肥次之。

氮磷钾配方施肥提高林下七叶一枝花产量和重楼皂苷含量

【目的】研究氮、磷、钾不同组合用量对林下栽培七叶一枝花产量及重楼皂苷含量的影响,为七叶一枝花人工栽培合理施肥提供参考。【方法】采用“3414”试验设计,利用福建南平杉竹混交林下4年生七叶一枝花(Paris polyphylla Smith var.chinensis (Franch.) Hara)进行田间试验,将氮、磷、钾肥当地适宜水平定为“2”,分别为N 270 kg/hm^(2)、P_(2)O_(5) 375 kg/hm^(2)、K_(2)O 300 kg/hm^(2),不足“1”和过量“3”水平分别为适宜水平的0.5、1.5倍。在七叶一枝花收获时期,测定其植株形态、根茎产量、4种重楼皂苷含量等指标,并计算生产效益。【结果】氮、磷、钾肥用量均显著影响七叶一枝花的植株形态、根茎产量和重楼皂苷含量,对七叶一枝花根茎产量的提升率分别为59.75%、27.54%、63.15%,以钾肥的贡献率最高,其次为氮肥,磷肥较低。N1水平下,增加磷、钾水平显著降低七叶一枝花的株高、茎粗和叶长,N3水平七叶一枝花的株高、叶长均达到最高,但茎粗低于N1和N2水平,表明适宜氮肥用量对七叶一枝花的生长至关重要。七叶一枝花的根茎产量和总重楼皂苷含量还受肥料交互效应的影响。当N、P_(2)O_(5)、K_(2)O用量分别为270、375、450 kg/hm^(2) (N_(2)P_(2)K_3)和270、375、300 kg/hm^(2)(N_(2)P_(2)K_(2))时,根茎产量达到最高,分别为2804、2648 kg/hm^(2)。N_(2)P_(2)K_3的总重楼皂苷含量也最大,达到1.62%,显著高于其他处理。施氮磷钾肥净增收效益在N_(2)P_(2)K_3处理下最高,N_(2)P_(2)K_(2)处理次之。【结论】适量的氮、磷肥配合较高的钾肥可显著提升七叶一枝花根茎产量和总重楼皂苷含量,提高七叶一枝花的经济效益。因此,在供试地区,推荐N、P_(2)O_(5)、K_(2)O用量分别为270、375、450 kg/hm^(2)。

超大颗粒肥水田气力深施加速器设计及参数优化

为解决水稻撒施追肥存在的肥料流失、利用率低及机械深施肥工作部件易堵塞、伤根等问题,该研究设计了一种用于水田深施追肥机的超大颗粒肥气力式加速器。该加速器利用双螺旋高压气流,在其与肥料上端构成的近封闭空间内加速超大颗粒肥,实现其高速射入泥壤,并可避免肥料颗粒与管壁碰撞;出口设置渐扩管扩散气流,可减轻对泥壤的冲击,提高施肥位置的稳定性。根据超大颗粒肥参数与加速器功能要求,确定了加速器的结构参数,并根据肥料入泥深度所需的射出速度,分析确定了加速器的工作参数。在此基础上,基于Fluent软件的六自由度重叠动网格建立了加速器仿真模型,以进口气流速度、螺旋角和加速管直径为试验因素,进行单因素仿真试验与三因素三水平Box Behnken组合仿真试验,研究各因素对肥料射出速度与气流扩散率的影响。多因素试验分析及响应面分析结果表明,加速器的最佳工作参数为进口气流速度47 m/s、加速管直径21 mm、螺旋进气口螺旋角43°。在此条件下进行台架验证试验,得到肥料射出速度均值为12.61 m/s,出口气流扩散率均值为85.5%,肥料入泥平均深度为4.7 cm,达到了水稻追肥要求。该研究可为超大颗粒肥水田气力深施追肥机设计提供参考。