Soybean yield and yield components as influenced by the single and repeated flaming

Field experiments were conducted to study the impact of single and multiple flaming on crop injury, yield components, and yield of soybean. The goal of this experiment was to determine the number of the maximum flaming treatments which soybean could tolerate without any yield loss. The treatments consisted of a non-flamed control, and broadcast flaming conducted one time (at VC-unfolded cotyledon, V2-second trifoliate, and V5-fifth trifoliate), two times (each at VC and V2, VC and V5, and V2 and V5 stages), and three times (at VC, V2, and V5 stages) resulting in a total of eight treatments. All plots were kept weed-free for the entire growing season by hand hoeing. A propane dose of 50 kg ha⁻¹ was applied with torches parallel to the crop row and at an operating speed of 4.8 km h⁻¹ for all treatments. The response of soybean was measured as visual injury ratings (at 7 and 28 days after treatment – DAT) as well as effects on yield components and yield. Broadcast flaming conducted once (at VC or V5 stage), as well as twice (at VC and V5 stages) exhibited the lowest injury of about 8% at 28 DAT. Any treatment that contained flaming at V2 stage resulted in more than 70% injury at 28 DAT. The highest crop yields were obtained from the non-flamed control (3.45 t ha⁻¹) and the plots flamed once at VC (3.35 t ha⁻¹), V5 (3.32 t ha⁻¹), and two times at VC and V5 (3.24 t ha⁻¹), which were all statistically similar. Soybean flamed at V2 stage had lower yields (1.03 t ha⁻¹ at V2, 0.46 t ha⁻¹ at VC and V2, and 0.38 t ha⁻¹ at V2 and V5). The lowest yields were in soybean flamed three times (VC, V2, and V5 stages), which yielded only 0.36 t ha⁻¹. These results indicate that soybean could tolerate a maximum of two flaming treatments at VC and V5 growth stages per season without any yield reduction.     

APSIM模型对宁夏海原地区草田轮作系统的适应性

为验证APSIM模型对宁夏海原地区草田轮作系统的适用性,基于10年生苜蓿(Medicago sativa)与小麦(Triticum aestivum)、谷子(Oryza sativa)草田轮作试验数据和同期气象资料,运用APSIM模型对系统进行了模拟。通过试错法和文献记载完成了苜蓿、小麦和谷子几个品种的参数本地化。用统计和图形校验方法评价了APSIM模型模拟结果的可靠性和准确性。结果表明,谷子-小麦-小麦(MWW)、小麦-谷子-小麦(WMW)、谷子-谷子-小麦(MMW)、谷子-小麦-谷子(MWM)、小麦-谷子-谷子(WMM)、小麦-小麦-谷子(WWM)6种轮作方式下产量实测值和模拟值的决定系数R2值范围在0.83至0.98之间,D值范围在0.94至0.99之间,表现出了良好的相关性和一致性。土壤含水量实测值和模拟值的决定系数R2值范围在0.52至1之间,D值范围在0.92至0.97之间,相关性和一致性表现良好。表明APSIM模型对宁夏海原地区苜蓿与小麦、谷子轮作具有较好的模拟能力,可以用来模拟分析该地区草田轮作系统生产潜力和土壤水分动态,对该地区气候变化影响下草田轮作的优化管理具有一定指导意义。     

耕作方式对豫西旱地麦-豆轮作田土壤理化特性和酶活性的影响

为探明耕作方式对豫西旱地麦-豆轮作田不同土层土壤理化特性和土壤酶活性的影响,设置免耕(NT)、旋耕(RT)和翻耕(PT)3种耕作方式,分析了定位试验9 a(2009—2019年)后小麦收获期的土壤容重、孔隙度和有机质、全氮、有效磷和速效钾含量,以及土壤脲酶、蛋白酶、转化酶和碱性磷酸酶活性,并运用相关分析和通径分析研究了土壤理化性质与土壤酶活性的关系。结果表明：不同耕作方式对土壤理化特性和酶活性具有显著的调控作用,其调控效应与其作业深度相关。RT较PT有利于降低0～15 cm土层但增加15～35 cm土层容重,NT较RT和PT显著降低了0～5、15～35、35～60 cm土层的土壤容重,土壤孔隙度变化规律与容重相反。各处理间土壤有机质、全氮、有效磷含量以及土壤脲酶、蛋白酶、转化酶和碱性磷酸酶活性在0～5 cm土层和15～35 cm土层规律一致,0～5 cm土层均以NT最优,分别较最低值处理(PT)显著提高16.7%、53.2%、15.9%、23.6%、18.0%、34.7%和29.0%;15～35 cm土层均以PT最优,分别较最低值处理(NT)显著提高18.3%、23.4%、53.4%、...     

玉米种衣剂配方数学模型筛选研究

采用二次回归旋转组合设计方法 ,对玉米种衣剂优化配方进行研究。通过利用计算机技术对试验数据进行处理和模拟寻优 ,建立了产量函数模型 ,筛选出产量≥ 975 0kg hm2 的最佳配方组合方案 ,并确定了置信域。     

宁南旱区苜蓿草地土壤水分消耗规律及粮草轮作土壤水分恢复效应研究

对宁南旱区不同生长年限紫花苜蓿草地土壤水分消耗及粮草轮作水分恢复效应进行了研究。结果表明:(1)随着苜蓿生长年限延长,在1￣6年内苜蓿草地土壤湿度下降迅速,产草量逐年上升,7年后土壤湿度下降趋于平缓,但苜蓿产草量下降迅速,表明苜蓿生长强烈耗水引起深层土壤干燥化,导致苜蓿生长逐渐衰败,苜蓿平均降水生产效率逐年下降;(2)苜蓿草地土壤垂直剖面可分为降水入渗恢复层(0￣200cm)、根系发达枯竭层(200￣500cm)和根系衰老缓耗层(500cm以下)三个层次。随苜蓿生长年限延长,苜蓿剖面的主要土壤干层逐渐上移,并且干层厚度呈现减小趋势;(3)耕翻的苜蓿茬后轮作粮食作物的年份越长,土壤水分恢复越好,实行草粮轮作的苜蓿最迟不超过生长的第10年。     

种衣剂在小麦上的应用效果初报

就17%多·克·酮小麦种衣剂对幼苗生长的调控作用以及田间防治甘肃省小麦主要病害的实际应用效果进行了试验研究。盆栽试验结果表明，17%多·克·酮种衣剂安全的药种比为1:50，在此包衣比例下，不仅可提高出苗率，对植株生长无不良影响，而且能使植株根系活力显著增强，叶片叶绿素含量明显提高，生长后期抗倒伏能力增强；田间小区试验结果表明，对早期小麦条锈病的防效可达76.2%、小麦白粉病可达77.0%，对土传性小麦全蚀病的防效可达到82.1%，冬麦区小麦产量提高6.8%，春麦区小麦产量提高10.9%。     

北方旱地土壤氮素平衡

北方大部分地区的旱地土壤中,农业氮素一般表现亏损,平衡强度约87%;园田土壤氮素略有盈余,平衡强度约123%.~(15)示踪研究表明,旱地土壤主要作物氮素利用率平均为27.04%,土壤残留24.79%,亏缺损失48.17%.园田主要蔬菜氮素和用率平均为29.11%,土壤残留22.67%,亏缺损失48.23%,其间差异很小.北方旱地施用铵态氮化肥主要损失是氨的挥发.影响氨挥发的因素有风速、温度、土壤水分、土壤质地、化肥品种.氮肥深施是防止氨挥发的有效方法.     

农田深层土壤水利用现状与研究趋势

近年来,由于水资源短缺,节水农业是华北平原的研究热点。笔者就农田深层土壤水的意义和国内外研究现状进行了综述,并提出了农田深层土壤水的研究趋势。在华北平原,应进行亏缺灌溉条件下周年农田深层土壤水利用效率的研究。     

Remote sensing of biotic and abiotic stress for irrigation management of cotton

The applicability of commercially available remote sensing instrumentation was evaluated for site-specific management of abiotic and biotic stress on cotton (Gossypium hirsutum L.) grown under a center pivot low energy precision application (LEPA) irrigation system. This study was conducted in a field where three irrigation regimes (100%, 75%, and 50% ET_c) were imposed on areas of Phymatotrichum (root rot) with the specific objectives to (1) examine commercial remote sensing instrumentation for locating areas showing biotic and abiotic stress symptomology in a cotton field, (2) compare data obtained from commercial aerial infrared photography to that collected by infrared transducers (IRTs) mounted on a center pivot, (3) evaluate canopy temperature changes between irrigation regimes and their relationship to lint yield with IRTs and/or IR photography, and (4) explore the use of deficit irrigation and the use of crop coefficients for irrigation scheduling. Pivot-mounted IRTs and an IR camera were able to differentiate water stress among irrigation regimes. The IR camera distinguished between biotic (root rot) and abiotic (drought) stress with the assistance of groundtruthing. The 50% ET_c regime had significantly higher canopy temperatures than the other two regimes, which was reflected in significantly lower lint yields when compared to the 75% and 100% ET_c regimes. Deficit irrigation down to 75% ET_c had no impact on lint yield, indicating that water savings were possible without reducing yield.     

The impact of increasing farm size and mechanization on rural income and rice production in Zhejiang province,China

Economic growth in China’s agricultural sector lags behind growth in industry and services, creating an ever widening rural–urban income gap. Development of the non-agricultural sectors offers new opportunities for farmers in China’s more advanced provinces such as Zhejiang. Increased income in the urban sector creates markets for new products, and migrating farmers rent their land to those staying. Until now, the prevailing rice-based systems have been managed mainly using manual labour and animal traction, but the larger farms resulting from migration may facilitate, or even require mechanization. In this study, we use a simulation model of the farm household to analyse the effects of increasing farm size and the transition from rice to vegetable production, while also studying the effects of mechanization.